[Note: opinions expressed below are solely my own and do not represent the views of my employer or any company I advise. Today is the 7th anniversary of the Genesis block.]
With over $900 million invested in cryptocurrency startups over the past couple of years, what does adoption and usage numbers look like?
Unfortunately very few of the companies that have received funding have publicly divulged actual numbers, primarily because consumer uptake has been lower than expected (or promised).
For instance, Coinbase recently published five charts it says reflect growth.
The first chart they show is transactions per day.
However, since we know that most transactions are “long-chain” transactions (comprised of spam, wallet shuffling, coin mixing, mining payouts, faucets, etc.), this is a poor indicator of actual on-chain trade and commerce or adoption.
As illustrated in the chart above, once long-chains are removed, growth (as highlighted in the pink region) is roughly linear since 2014, at ~0.5x per year.
What about Coinbase itself?
Coinbase doesn’t typically divulge much about specifics, however it’s older pitch deck (from September 2014) does give a few details about its users, such as 40% of all Coinbase users are from three states: California, New York and Texas; as well as the amount of deposits that Coinbase holds for each customer.
While this number likely has changed in the past 15 months, ignoring the fluctuation in token prices it may be the case that the average deposit per customer has not increased significantly. Why might that be?
Above is a 1-year chart produced by Coinbase showing the daily amount of off-chain transactions. Or rather, transactions that take place on their own internal system. As we can see, the volume is roughly the same across all of 2015. If usage actually was increasing or user numbers were growing substantially, then we should be able to see some visible changes upward. This has not occurred.
P2SH, or pay to script hash, is probably the most common method for securing bitcoins (or UTXOs) via multisig. As shown in the two charts above, over the course of 2015 the percentage of existing bitcoins held in P2SH addresses increased from 6% to around 10% today. Though over the past 5 months the amount has effectively plateaued.
According to marketing material, BitGo processes more than 50% of all P2SH transactions (more than all other service providers combined). So this may also be an upward bound indicator of people who are savvy enough to secure their bitcoins via multisig (note: many custodial wallets such as Coinbase and Xapo purportedly secure certain layers of “cold wallets” via multisig and P2SH is just one method of doing so).
The chart above visualizes the percent of bitcoins owned by each address balance range.
As of block height 390,000 approximately 98.16% of all bitcoins reside on 513,648 addresses. This is not to say there are only half a million bitcoin users on the planet, as some of the addresses are owned or controlled by multiple people (such as a custodial wallet or exchange). But it is probably a pretty good proxy of on-chain users — users who actually control the private key and do not use an intermediary.
This is roughly twice as many on-chain users as twenty-one months ago (in April 2014) — at block height 295,000 — when I first started looking at this source.1
One interesting trend that ties in with the multisig window above is that at one point as recently as April 2014, none of the Top 500 addresses were using multisig. But over the past year, as seen by the “3” prefix at the start of addresses, we can visibly see several dozen Top 500 addresses that now use multisig (note: some of the other addresses may use hardware wallets such as Trezor, Ledger or Case and not use multisig).
I once heard a Bitcoin reporter tell me in the August 2014 that BitAccess was on track to be the first billion dollar Bitcoin company. Whoops!
As we know empirically, the ATM industry in general is very low margin; companies make it up on volume which none of these startups have been able to thus far. Despite the hype, over the past a grand total of 536 Bitcoin ATMs have been installed, roughly 275 per year.
For comparison, according to the ATM Association there are roughly 3 million ATMs globally.
Can’t this change in the future? Perhaps, but recall that the average two-way (roundtrip) Bitcoin ATM fee is ~11% and there are only a handful located in emerging markets. Why is the fee relatively high? Because ATM owners are not operating charities and want to turn a profit. If Bitcoin adoption truly was going gang busters you would expect this number to be growing exponentially and not linearly.
Bitcoin volatility
Admittedly this chart doesn’t have to deal with adoption. There is no scientific correlation between the amount of usage or users of cryptocurrencies and the volatility of its trading pairs.
The reason I have included this is because in the Coinbase post above they state that bitcoin volatility is decreasing… relative to the Russian ruble and Brazilian real. Yet from the volatility chart above, it is clear that volatility has not really decreased. The BTC/USD volatility may be less than what it was in 2012, but on any given day it is still 10x more volatile than CNY/USD and 6x more volatile than USD/EUR — trading pairs that represent the real lionshare of global economic activity.
The chart above was created by user “btcuestion” and is based on data in the Coindesk venture investment spreadsheet. It is a month by month bar chart over the course of the past two years.
What it shows is that VC investment in cryptocurrency-related startups peaked in Q1 2015. Yet, the bulk of the Q1 investments came from the 21inc announcement which itself was an aggregation of its previous rounds that had taken place over the previous 18 months. So funding may have actually peaked in Q4 2014.2
What this probably illustrates is that aside from a couple of permabull investors (such as Boost and Pantera), most serious venture capital has decided to wait and see how the dust settles before investing anything in this space. Why? Basically there has been no product market fit and few viable business models.3 Sure there has been a lot of publicity, but as Kevin Collier recently explored, there does not appear to be any permanent impact of say: Bitpay sponsoring a college bowl game last year.4
The two charts above both come from Bitwage, a startup that converts payrolls into bitcoins. Ignoring the drop-off in January 2016 (it is the beginning of a new month), for most of 2015 there were roughly 200-300 new user signups each month and about $250,000 in salaries converted as well.
Again, this is not to say that Bitwage’s service is not useful, rather that if there was increased bitcoin growth and adoption, then one proxy could be through payroll conversion. However, as shown above, growth is linear not exponential.
Above is a 2-year, nearly linear line chart from Blockchain.info depicting the “My Wallet” Number of Users. It bears mentioning that many people still use Blockchain.info wallets like a “temporary” wallet (or burner wallet) for coin mixing, yet despite the rapid creation rate for this purpose even if we look just at the last 6 months, it is not close to being exponential.
But what about hash rate? It has continually gone up and to the right the last few months, surely this is an indicator of mass adoption?
All hash rate is measuring is the amount of work being generated by an unknown amount of computers (typically ASICs) somewhere on the planet. Hash rate typically rises when the price of bitcoins rise and falls when the price of bitcoins fall (see Appendix B). Since prices have nearly doubled over the past four months then it stands to reason that hash rate would correspondingly increase as hashing farms deploy new capital.5
Unless each site is inspected, it’s difficult to tell if there are more hashing farms and equipment and therefore “more users.” However, what we do know is that there are roughly the same amount of pools today (~20) as there were three years ago.6
Counterparty is an embedded consensus system (see section 1): an asset issuance platform that effectively staples itself onto the Bitcoin blockchain.
As shown above, on a given day roughly 500-1000 transactions take place through the platform. According to Laurent MT, the spikes may be related to the weekly distribution of LTBCoins. And again, despite turnkey services and vending machines such as Tokenly and CoinDaddy (and CounterpartyChain), overall growth on the ECS has effectively plateaued over the past year.
Conclusion
Bitcoin is a solution and service provider for those who hold bitcoins. Despite the fanfare, the conferences and the perpetual feel-good op-eds in Techcrunch, the only people who seem to use it regularly seven years later are a niche demographic group: young, white, tech-savvy men in North America and Western Europe. Many of whom have access to multiple other payment networks and asset classes for investment.
As a result, it is probably not a surprise that instead of using bitcoins to pay for coffee on-chain each day, most private key owners prefer to “hodl” or use intermediaries. This may make sense for those with low time preferences, but it shouldn’t then come as a surprise that there are few, if any metrics that show wide-scale adoption beyond this core demographic. Will this change in 2016 or will the “great pivot” continue?
Spam and dust (such as “tips”) likely represents the remaining 1.84% of all bitcoins (located on 99% of all addresses). [↩]
Funding has instead switched over to the fledgling non-cryptocurrency distributed ledger industry. [↩]
Anecdotally, it appears that Coins.ph, BitX and Align Commerce have each gained actual traction in their respective regions. [↩]
Stephen Pair provided a new chart for Forbes which purportedly shows a large uptick in transactions processed. This “surge” occurred during the same month as Bitcoin Black Friday and should be looked at again in the following months to see if it was a one-off event. [↩]
There are also stories of new chips supposedly being deployed. In practice hashing farms do the Red Queen race: replace a machine… with another machine that uses the same amount of energy. [↩]
The claim that 21inc or other mining chip manufacturers will “redecentralize mining” is a misnomer. Mining and hashing are not the same thing. Unless a hashing operator also runs a fully validating node, then they are part of the outsourcing process. More people may be hashing as part of the 21inc botnet, but not mining (mining is defined as selecting transactions to include in blocks; hashers do not do this activity, pools do). [↩]
One comment I have noticed continually re-appear on social media over the last couple months is roughly the following:
If you’re building a new blockchain you should regularly take a hash of the network state and “anchor” it (write it) into another blockchain, for redundancy purposes.
This “anchor” idea has appeared in public material from BitFury, Factom, Tierion, Gil Luria and now 21inc (a VC-backed botnet operator).
Part of the current popularity in the anchoring meme is that some cryptocurrency enthusiasts and Bitcoin maximalists in particular want other non-cryptocurrency distributed ledgers to rely on existing cryptocurrency networks — networks that some enthusiasts own tokens to and hope that price appreciation will take place in the event that the network is used.
Ignoring the hypothetical monetary incentives, let’s assume that writing/storing network states externally is useful and it is the goal of every blockchain designers such as Bob and Alice. Are other blockchains the only relevantly secure places that all blockchain designers should look at using?
Probably not.
For instance, if the goal is to publish a hash of a state in a media that is difficult to censor and widespread enough to retrieve over time, then there are several “old school” newspapers and magazines that can be used for such purposes (which is what Guardtime does).
For instance:
There are half a dozen Japanese newspapers that each have over 2 million in circulation.
In the UK, both The Sun and Daily Mirror have a circulation of over 1.5 million
Similarly, in the US, there are three companies: USA Today, The New York Times and The Wall Street Journal that also have a circulation of over 1.5 million
The question for the paranoid is, what is more likely: someone deliberately destroying and/or replacing 1.5 million newspapers which contain the hash of the network state, or someone knocking out 5,728 network nodes?
While “anchoring” the hash of state into other media may be useful, leaving it in just one blockchain — such as the Bitcoin blockchain — does not fully reduce the risk of a well-funded attacker trying to revise history. Safety in this case comes in numbers and if it is redundancy Bob and Alice are looking for (and paranoid about), it may be worth it to publish hashes in multiple venues and media.
Similarly, if sustainability is a key concern then public goods such as cryptocurrencies have a question mark on them as well. Why? Because there are over 100 dead altcoins now. Convincing users — and more importantly miners — to maintain a network when it is no longer profitable to do so is an uphill challenge.1
Lastly, a well designed network (or distributed ledger in this case) that is robust and mature should not necessarily rely on “anchoring” at all. But this dovetails into a different conversation about how to design a secure network, a topic for another post. Either way, hash-storage-as-service, is probably not the next big trillion dollar idea for 2016.
It’s a challenge for any public good, not just Bitcoin, that eventually relies solely on altruism and charity. [↩]
Yesterday I gave an abbreviated presentation based on R3CEV research first publicly shown at the GaiaX – Blockchain University event “Blockchain Summit” held in Tokyo.
Note: below are the citations and notes for several of the slides:
Slide 3: The companies in the red square boxes are some of the startups that are primarily trying to create non-cryptocurrency distributed ledgers. (Source: Startup Management)
Slide 15: Field of Dreams image in reference to the model that you build it first with the hope that customers come
Slide 19: One example of this euphemism is from Adam Draper (and a similar reference point on Twitter). Each of these five companies has a couple product lines, one of which focuses on cryptocurrencies in a non-marginal manner.
Slide 21: This list could include a number of others including Tezos (DLS) and a handful of other startups including a couple in Japan
Slide 23: Collective head count for these companies is just under 100 and total funding raised (that is publicly announced) is around $10 million. There are still more companies trying to build foundational layers (some proprietary, others open) than teams building applications on top. Legend in parenthesis: E=Ethereum, R=Ripple, CP=Counterparty, OA=OpenAssets, TM=Tendermint
Slide 24: Most of the large non-bank financial institutions such as clearing houses and exchanges all have working groups focused on distributed ledger technology (e.g., CLS, SWIFT, LSEG, CME, Nasdaq, Deutsche Borse, DTCC). The Linux Foundation project is in its formative stage.
In a nutshell: despite recent efforts to modify public blockchains such as Bitcoin to secure off-chain registered assets via colored coins and metacoins, due how they are designed, public blockchains are unable to provide secure legal settlement finality of off-chain assets for regulated institutions trading in global financial markets.
The initial idea behind this topic started about 18 months ago with conversations from Robert Sams, Jonathan Levin and several others that culminated into an article.
The issue surrounding top-heaviness (as described in the original article) is of particular importance today as watermarked token platforms — if widely adopted — may create new systemic risks due to a distortion of block reorg / double-spending incentives. And because of how increasingly popular watermarked projects have recently become it seemed useful to revisit the topic in depth.
What is the takeaway for organizations looking to use watermarked tokens?
The security specifications and transaction validation process on networks such as the Bitcoin blockchain, via proof-of-work, were devised to protect unknown and untrusted participants that trade and interact in a specific environment.
Banks and other institutions trading financial products do so with known and trusted entities and operate within the existing settlement framework of global financial markets, with highly complex and rigorous regulations and obligations. This environment has different security assumptions, goals and tradeoffs that are in some cases opposite to the designs assumptions of public blockchains.
Due to their probabilistic nature, platforms built on top of public blockchains cannot provide definitive settlement finality of off-chain assets. By design they are not able to control products other than the endogenous cryptocurrencies they were designed to support. There may be other types of solutions, such as newer shared ledger technology that could provide legal settlement finality, but that is a topic for another paper.
This is a very important issue that has been seemingly glossed over despite millions of VC funding into companies attempting to (re)leverage public blockchains. Hopefully this paper will help spur additional research into the security of watermarking-related initiatives.
I would like to thank Christian Decker, at ETH Zurich, for providing helpful feedback — I believe he is the only academic to actually mention that there may be challenges related to colored coins in a peer-reviewed paper. I would like to thank Ernie Teo, at SKBI, for creating the game theory model related to the hold-up problem. I would like to thank Arthur Breitman and his wife Kathleen for providing clarity to this topic. Many thanks to Ayoub Naciri, Antony Lewis, Vitalik Buterin, Mike Hearn, Ian Grigg and Dave Hudson for also taking the time to discuss some of the top-heavy challenges that watermarking creates. Thanks to the attorneys that looked over portions of the paper including (but not limited to) Jacob Farber, Ryan Straus, Amor Sexton and Peter Jensen-Haxel; as well as additional legal advice from Juan Llanos and Jared Marx. Lastly, many thanks for the team at R3 including Jo Lang, Todd McDonald, Raja Ramachandran and Richard Brown for providing constructive feedback.
[Note: the following views were originally included in a new paper but needed to be removed for space and flow considerations]
While most academic literature has thus far narrowly focused under the assumption that proof-of-work miners such as those used in Bitcoin will behave according to a “goodwill” expectation, as explored in this paper, there may be incentives that creative attackers could look to exploit.
Is there another way of framing this issue as it relates to watermarked tokens such as colored coins and metacoins?
Below are comments from several thought-leaders working within the industry.
When it comes to cryptocurrency, as with any other situation, an attacker has to balance the cost of attacking the network with the benefit of doing so. If an attacker spends the minimum amount required to 51% attack bitcoin, say $500 million, then the attacker needs to either be able to short $500 million or more worth of BTC for the attack to be worth it, or needs to double spend $500 million or more worth of BTC and receive some irreversible benefit and not get caught (or not have consequences for getting caught), all while taking into consideration the loss of future revenues from mining honestly. When you bring meta-coins into the equation, things get even murkier; the cost is less dependent on the price of bitcoin or future mining revenues, and depends more on the asset being attacked, whether it’s a stock sale or company merger that’s being prevented, or USD tokens being double-spent.
There’s no easy answer, but based on the economics of the situation, and depending on the asset in question, it doesn’t seem wise to put more value on chain than the market cap of BTC itself (as a rough benchmark – probably not that exact number, but something close to it).
Not a single study has been publicly published looking at this disproportionalism yet it is regularly touted at conferences and social media as a realistic, secure, legal possibility.
According to Vitalik Buterin, creator of Ethereum:2
There are actually two important points here from an economics perspective. The first is that when you are securing $1 billion on value on a system with a cryptoeconomic security margin that is very small, that opens the door to a number of financial attacks:
Short the underlying asset on another exchange, then break the system
Short or long some asset at ultrahigh leverage, essentially making a coin-flip bet with a huge amount of money that it will go 0.1% in one direction before the other. If the bet pays off, great. If it does not pay off, double spend.
Join in and take up 60%+ of the hashrate without anyone noticing. Then, front-run everyone. Suppose that person A sends an order “I am willing to buy one unit of X for at most $31”, and person B sends an order “I am willing to sell one unit of X for at least $30”. As a front-runner, you would create an order “I am willing to sell one unit of X for at least $30.999” and “I am willing to buy one unit of X for at most $30.001”, get each order matched with the corresponding order, and earn $0.998 risk-free profit. There are also of course more exotic attacks.
In fact, I could see miners even without any attacks taking place front-running as many markets as they can; the ability to do this may well change the equilibrium market price of mining to the point where the system will, quite ironically, be “secure” without needing to pay high transaction fees or have an expensive underlying currency.
The second is that assets on a chain are in “competition” with each other: network security is a public good, and if that public good is paid for by inflation of one currency (which in my opinion, in a single-currency-chain environment, is economically optimal) then the other currencies will gain market share; if the protocol tries to tax all currencies, then someone will create a funky meta-protocol that “evades taxes by definition”: think colored coins where all demurrage is ignored by definition of the colored coin protocol. Hence, we’ll see chains secured by the combination of transaction fee revenue and miner front running.
Unsolved economics question: would it be a good thing or a bad thing if markets could secure themselves against miner frontruns? May be good because it makes exchanges more efficient, or bad because it removes a source of revenue and reduces chain security.
Cryptoeconomics is a nascent academic field studying the confluence of economics, cryptography, game theory and finance.3
Piotr Piasecki, a software developer and independent analyst explained:4
If a malicious miner sees a big buy order coming into the market that would move the price significantly, they can engage in front running – the buy order could be pushed to the back of the queue or even left out until the next block, while the miner buys up all of the current stock and re-lists it at a higher price to turn a profit. Alternatively, when they see there is a high market pressure coming in, especially in systems that are inefficient by design, they can buy the orders up one by one by using their power to include any number of their own transactions into a block for free, and similarly re-list them for people to buy up.
Or in other words, because miners have the ability to order transactions in a block this creates an opportunity to front run. If publicly traded equities are tracked as a type of colored coin on a public blockchain, miners could order transaction in such a way as to put certain on-chain transactions, or trades in this case, to execute before others.
Robert Sams, co-founder of Clearmatics, previously looked at the bearer versus registered asset challenge:5
One of the arguments against the double-spend and 51% attacks is that it needs to incorporate the effect a successful attack would have on the exchange rate. As coloured coins represent claims to assets whose value will often have no connection to the exchange rate, it potentially strengthens the attack vector of focusing a double spend on some large-value colour. But then, I’ve always thought the whole double-spend thing could be reduced significantly if both legs of the exchange were represented on a single tx (buyer’s bitcoin and seller’s coloured coin).
The other issue concerns what colour really represents. The idea is that colour acts like a bearer asset, whoever possesses it owns it, just like bitcoin. But this raises the whole blacklisted coin question that you refer to in the paper. Is the issuer of colour (say, a company floating its equity on the blockchain) going to pay dividends to the holder of a coloured coin widely believed to have been acquired through a double-spend? With services like Coin Validation, you ruin fungibility of coins that way, so all coins need to be treated the same (easy to accomplish if, say, the zerocoin protocol were incorporated). But colour? The expectations are different here, I believe.
On a practical level, I just don’t see how pseudo-anonymous colour would ever represent anything more than fringe assets. A registry of real identities mapping to the public keys would need to be kept by someone. This is certainly the case if you ever wanted these assets to be recognised by current law.
But in a purely binary world where this is not the case, I would expect that colour issuers would “de-colour” coins it believed were acquired through double-spend, or maybe a single bitcoin-vs-colour tx would make that whole attack vector irrelevant anyway. In which case, we’re back to the question of what happens when the colour value of the blockchain greatly exceeds that of the bitcoin monetary base? Who knows, really depends on the details of the colour infrastructure. Could someone sell short the crypto equity market and launch a 51% attack? I guess, but then the attacker is left with a bunch of bitcoin whose value is…
The more interesting question for me is this: what happens to colour “ownership” when the network comes under 51% control? Without a registry mapping real identities to public keys, a pseudo-anonymous network of coloured assets on a network controlled by one guy is just junk, no longer represents anything (unless the 51% hasher is benevolent of course). Nobody can make a claim on the colour issuer’s assets. So perhaps this is the real attack vector: a bunch of issuers get together (say, they’re issuers of coloured coin bonds) to launch a 51% attack to extinguish their debts. If the value of that colour is much greater than cost of hashing 51% of the network, that attack vector seems to work.
On this point, Jonathan Levin, co-founder of Chainalysis previously explained that:6
We don’t know how much proof of work is enough for the existing system and building financially valuable layers on top does not contribute any economic incentives to secure the network further. These incentives are fixed in terms of Bitcoin – which may lead to an interesting result where people who are dependent on coloured coin implementations hoard bitcoins to attempt to and increase the price of Bitcoin and thus provide incentives to miners.
It should also be noted that the engineers and those promoting extensibility such as colored coins do not see the technology as being limited in this way. If all colored coins can represent is ‘fringe assets’ then the level of interest in them would be minimal.
Time will tell whether this is the case. Yet if Bob could decolor assets, in this scenario, an issuer of a colored coin has (inadvertently) granted itself the ability to delegitimize the bearer assets as easily as it created them. And arguably, decoloring does not offer Bob any added insurance that the coin has been fully redeemed, it is just an extra transaction at the end of the round trip to the issuer.
Personal correspondence, August 10, 2015. Bitseed is a startup that builds plug-and-play full nodes for the Bitcoin network. [↩]
[Note: the following overview on known Bitcoin mining farms was originally included in a new paper but needed to be removed for space and flow considerations]
Several validators on the Bitcoin network, as well as many watermarked token issuers, are identifiable and known.1 What does this mean? Many Bitcoin validators are drifting usage outside the pseudonymous context of the original network due to their use of specialty equipment that creates a paper trail. In other words, pseudonymity has given way to real world identity. Soon issuers of color will likely follow because they too have strong ties to the physical, off-chain world.
For instance, on August 4, 2015, block 368396 was mined by P2Pool. This is notable for two reasons.
The first is that the block included a transaction sent from Symbiont.io, a NYC-based startup building “middleware” that enables organizations and financial institutions to create and use ‘smart securities’ off-chain between multiple parties and have the resulting transaction hashed onto a blockchain, in this case, the Bitcoin blockchain.2
Several weeks later, Symbiont announced that it would begin using their “stack” to provide similar functionality on a permissioned ledger.3 This follows a similar move by T0.com – a wholly owned subsidiary of Overstock.com – which initially used Open Assets to issue a $5 million “cryptobond” onto the Bitcoin blockchain, but have subsequently switched to using a “blockchain-inspired” system designed by Peernova.456
The second reason this was notable is that the block above, 368396, included at least one transaction from Symbiont which was mined by a small pool called P2Pool.7Unlike other pools discussed in this paper, P2Pool is not continually operated in a specific region or city.
It is decentralized in that all participants (hashers) must run their own full Bitcoin nodes which stand in contrast with pools such as F2Pool, KnC mining pool and BTCC (formerly called BTC China), where the pool operator alone runs the validating node and the labor force (hashers) simply search for a mid-state that fulfills the target difficulty.8
Due to this resource intensive requirement (running a full node requires more bandwidth and disk space than merely hashing itself), P2Pool is infrequently used and consequently comprises less than 1% of the current network hashrate.
P2Pool’s users are effectively pseudonymous. Due to the intended pseudonymity it is also unclear where the transaction fees and proceeds of hashing go. For instance, do the hashers comprising this pool benefit from the proceeds of illicit trade or reside in sanctioned countries or who to contact in the event there is a problem? And unlike in other pools, there is no customer service to call and find out.
Bitcoin’s – and P2Pool’s – lack of terms of service was intentionally done by design (i.e., caveat emptor). And in the event of a block reversal, censored transaction or a mere mistake by end-users, as noted above there is no contract, standard operating procedure or EULA that mining pools (validators) must adhere to. This is discussed in section 3.
This pseudonymous arrangement was the default method of mining in 2009 but has evolved over the years. For example, there are at least two known incidents in which a miner was contacted and returned fees upon request.
Launched in late summer of 2012 and during the era of transition from GPUs and FPGA mining, ASICMiner was one of the first publicly known companies to create its own independent ASIC mining hardware. Its team was led by “FriedCat,” a Chinese businessman, who custom designed and integrated ASIC chips called Block Eruptors, ASICMiner operated their own liquid immersion facility in Hong Kong.9
At its height, ASICMiner (which solo-mined similar to KnC and BitFury do today) reached over 10% of the network hashrate and its “shareholders” listed its stock on GLBSE (Global Bitcoin Stock Exchange), GLBSE is a now defunct virtual “stock market” that enabled bitcoin users to purchase, trade and acquire “shares” in a variety of listed companies.10 GLBSE is notable for having listed, among other projects, SatoshiDice which was later charged by the Securities and Exchange Commission (SEC) for offering unregistered securities to the public.1112
While unregistered stock exchanges catering to cryptocurrency users and China-based mining pools may be common sights today, on August 28, 2013, a bitcoin user sent a 200 bitcoin fee that was processed by ASICMiner.13 Based on then-market rates, this was approximately worth $23,518.14 The next day, for reasons that are unknown, ASICMiner allegedly sent the errant fee back to the original user.15At the time, one theory proposed by Greg Maxwell (a Bitcoin Core developer) was that this fee was accidentally sent due to a bug with CoinJoin, a coin-mixing service.16
Liquid cooled hashing equipment at ASICMiner in 2013. Source: Xiaogang Cao
The second notable incident involved BitGo, a multisig-as-a-service startup based in Palo Alto and AntPool, a large China-based pool (which currently represents about 15% of the network hashrate) operated by Bitmain which also manufacturers Antminer hardware that can be acquired directly from the company (in contrast to many manufacturers which no longer sell to the public-at-large). On April 25, 2015 a BitGo user, due to a software glitch, accidentally sent 85 bitcoins as a mining fee to AntPool. Based on then-market rates, this was worth approximately $19,197.17
The glitch occurred in BitGo’s legacy recovery tool which used an older version of a library that causes a 32-bit truncation of values and results in a truncation of outputs on the recovery transaction.18 To resolve this problem, the user “rtsn” spent several days publicly conversing with tech support (and the community) on Reddit.19
Eventually the glitch was fixed and Bitmain – to be viewed as a “good member of the community” yet defeating the purpose of a one-way-only, pseudonymous blockchain – sent the user back 85 bitcoins.
Fee to Bitmain (Antpool) highlighted in red on Total Transaction Fee chart. Source: Blockchain.info
On September 11, 2015 another user accidentally sent 4.6 bitcoins (worth $1,113) as a fee to a mining pool, which in this instance was AntPool.20 Bitmain, the parent company, once again returned the fee to the user.
HaoBTC is a newly constructed medium-sized hashing farm located in Kangding, western Sichuan, near the Eastern border with Tibet.22 It currently costs around 1.5 million RMB per petahash (PH) – or $242,000 – to operate per year. This includes the infrastructure and miner equipment costs. It does not include the operating costs which consists of: electricity, labor, rent and taxes (the latter two are relatively negligible).
The facility itself cost between $600,000 – $700,000 to build (slightly less than the $1 million facility BitFury built in 2014 in the Republic of Georgia) and its electrical rate of 0.2 RMB per kWh comes from a nearby hydroelectric dam which has a 25,000 kW output (and cost around $10 million to construct).23
In dollar terms this is equivalent to around $0.03 / kWh (during the “wet” or “summer” season). For perspective, their electric bill in August 2015 came in at 1.4 million RMB (roughly $219,000); thus electricity is by far the largest operating cost component.
When all the other costs are accounted for, the average rises to approximately $0.045 per kWh. The electricity rate is slightly more expensive (0.4 RMB or $0.06) during winter due to less water from the mountains. The summer rate is roughly the same price as the Washington State-based hashing facilities which is the cheapest in the US (note: it bears mentioning that Washington State partly subsidizes hydroelectricity).
HaoBTC staff installing hashing equipment. Source: Eric Mu
At this price per joule it would cost around $105 million to reproduce “work” generated by the 450 petahash Bitcoin blockchain. Due to a recent purchase of second-hand ASICMiner Tubes, HaoBTC currently generates just over 10 PH and they are looking to expand to 12 PH by the end of the year.24The key figure that most miners are interested in is that at the current difficulty level it costs around $161 for HaoBTC’s farm to create a bitcoin, giving them a nearly 100% margin relative to the current market price.
The ASIC machines they – and the rest of the industry uses – are single use; this hashing equipment cannot run Excel or Google services, or even bitcoind. Thus common comparisons with university supercomputers is not an apples-to-apples comparison as ASIC hashing cannot do general purpose computing; ASIC hashing equipment can perform just one function.25
There is also a second-hand market for it. For instance, hashing facilities such as HaoBTC actively look to capitalize off their unique geographical advantages by using older, used hardware. And there is a niche group of individuals, wanting to remain anonymous, that will also purchase older equipment.26
Although individual buyers of new hashing equipment such as Bob, do typically have to identify themselves to some level, both Bob can also resell the hardware on the second-hand market without any documentation. Thus, some buyers wanting to buy hashing equipment anonymously can do so for a relative premium and typically through middlemen.2728
While Bitbank’s BW mining farm and pool have been in the news recently29, perhaps the most well-known live visual of mining facilities is the Motherboard story on a large Bitcoin mining farm in Dalian, Liaoning:30
Incidentally, while Motherboard actually looked at just one farm, the foreigner helping to translate for the film crew independently visited another farm in Inner Mongolia which during the past year Bitbank apparently acquired.31
Are there any other known facilities outside of China?32
Genesis Mining is a cloudhashing service provider that purportedly has several facilities in Iceland.33According to a recent news story the company is one of the largest users of energy on the island and ignoring all the other costs of production (aside from electricity), it costs about $60 to produce a bitcoin.34 However, when other costs are included (such as hardware and staffing) the margin declines to — according to the company — about 20% relative to the current bitcoin price. At the time of the story, the market price of a bitcoin was around $231.
The four illustrations above are among a couple dozen farms that generate the majority of the remaining hashrate.
What does this have to do with colored coins?
The network was originally designed in such a way that validators (block makers) were pseudonymous and identification by outside participants was unintended and difficult to do. If users can now contact validators, known actors in scenic Sichuan, frigid Iceland or rustic Georgia, why not just use a distributed ledger system that already identifies validators from the get go? What use is proof-of-work at all? Why bother with the rhetoric and marginal costs of pseudonymity?
The social pressure type of altruism noted above (e.g,. Bitmain and BitGo returning fees) actually could set a nebulous precedent: once block rewards are reduced and fees begin to represent a larger percentage of miner revenue, it will no longer be an “easy” decision to refund the user in the event there is a mistake.35 If Bitmain did not send a refund, this backup wallet error would serve as a powerful warning to future users to try and not make mistakes.
While there have been proposals to re-decentralize the hashing process, such as a consumer-device effort led by 21inc which amounts to creating a large corporate operated botnet, one trend that has remained constant is the continued centralization of mining (block making) itself.3637 The motivation for centralizing block making has and continues to be about one factor: variance in payouts.38 Investors in hashing prefer stable payouts over less stable payouts and the best way to do that with the current Poisson process is to pool capital (much like pooling capital in capital markets to reduce risk).
Whether or not these trends stay the same in the future are unknown, however it is likely that the ability to contact (or not contact) certain pools and farms will be an area of continued research.
Similarly one other potential drawback of piggy backing on top of a public blockchain that could be modeled in the future is the introduction of a fat tail risk due to the boundlessness of the price of the native token.39 In the case of price spikes even if for short time can create price distortions or liquidity problem on the off-chain asset introducing a correlation between the token and the asset that theoretically was not supposed to be there.
For instance, the staff of Let’s Talk Bitcoin issues LTBCoin on a regular basis to listeners, content creators and commenters. [↩]
One reviewer likened the Overstock “cryptobond” proof of concept as a large wash trade: ”Basically it’s a cashless swap of paper and thus no currency settlement. And the paper has no covenants and thus very easy to digitally code. Basically Overstock is paying FNY a spread of 4% for doing this deal. And if the bond and loan are called simultaneously, say in the next month, that means that Overstock paid FNY about $16,667.00 to do this trade. And since there was no cash exchanged, I am presuming, then this is smoke and mirrors. But they actually did it. However, I don’t see much of a business model where the issuer of a bond has to simultaneously fund the investor with a loan to buy the bond and pay him 33 basis points to boot!” [↩]
In (Rosenfeld 2012) the author noted that one of the risks for running an “alternative to traditional markets” – such as GLBSE – were the regulatory compliance hurdles. Overview of Colored Coins by Meni Rosenfeld, p. 4. [↩]
Personal correspondence with Eric Mu, August 10, 2015 [↩]
One common talking point by some Bitcoin enthusiasts including venture capitalists is that Google’s computers, if repurposed for mining Bitcoin, would generate only 1-2% of the network hashrate – that the Bitcoin network is “faster” than all of Google’s data centers combined. This is misleading because these Bitcoin hashing machines cannot provide the same general purpose utility that Google’s systems can. In point of fact, the sole task that ASIC hashing equipment itself does is compute two SHA256 multiplications repeatedly. [↩]
Some academic literature refers to miners on the Bitcoin network as “anonymous participants.” In theory, Bitcoin mining can be anonymous however by default mining was originally a pseudonymous activity. Participants can attempt to remain relatively anonymous by using a variety of operational security methods or they can choose to identify (“doxx”) themselves as well. See The Bitcoin Backbone Protocol: Analysis and Applications by Garay et al. [↩]
This is similar to the “second-hand” market for bitcoins too: bitcoins originally acquired via KYC’ed gateways sometimes end up on sites like LocalBitcoins.com (akin to “Uber for bitcoins”) – where the virtual currency is sold at a premium to those wanting to buy anonymously. [↩]
While it is beyond the scope of this paper, there are a couple of general reasons why medium-sized farms such as HaoBTC have been erected in China. Based upon conversations with professional miners in China one primary reason is that both the labor and land near energy generating facilities is relatively cheap compared with other parts of the world. Furthermore, energy itself is not necessarily cheaper, unless farms managers and operators have guanxi with local officials and power plant owners. And even though it is common to assume that due to the capital controls imposed at a national level – citizens are limited to the equivalent of $50,000 in foreign exchange per year – there have been no public studies as to how much capital is converted for these specific purposes. There are other ways to avoid capital controls in China including art auctions and pawn shops on the border with Macau and Hong Kong. See also How China’s official bank card is used to smuggle money from Reuters and What Drives the Chinese Art Market? The Case of Elegant Bribery by Jia Guo See On Getting Paid From China. Is There Really A $50,000 Yearly Limit? from China Law Blog and Bitcoins: Made in China [↩]
It is unclear how much hashrate they actually operate or control, a challenge that plagues the entire cloudhashing industry leading to accusations of fraud. [↩]
And this is also a fundamental problem with public goods, there are few mechanisms besides social pressure and arbitrary decision making to ration resources. As described in (Evans 2014), since miners are the sole labor force, they create the economic outputs (bitcoins) and security, it is unclear why they are under any expectation to return fees in a network purposefully designed to reduce direct interactions between participants. See Economic Aspects of Bitcoin and Other Decentralized Public-Ledger Currency Platforms by David Evans [↩]
In 2014 the state of New Jersey sued a MIT student, Jeremy Rubin, for creating a web-based project that effectively does the same thing as the silicon-based version proposed by 21inc. See Case Against Controversial Student Bitcoin Project Comes to Close from CoinDesk. In addition, the FTC, in its case against Butterfly Labs also looked at BFL not informing customers properly regarding difficulty rating changes. According to the FTC’s new release on this case: “A company representative [BFL] said that the passage of time rendered some of their machines as effective as a “room heater.” The FTC charged that this cost the consumers potentially large sums of money, on top of the amount they had paid to purchase the computers, due to the nature of how Bitcoins are made available to the public.” [↩]
This issue was cited in the CryptoNote whitepaper as one motivation for creating a new network. On p. 2: “This permits us to conjecture the properties that must be satisfied by the proof-of-work pricing function. Such function must not enable a network participant to have a significant advantage over another participant; it requires a parity between common hardware and high cost of custom devices. From recent examples [8], we can see that the SHA-256 function used in the Bitcoin architecture does not possess this property as mining becomes more efficient on GPUs and ASIC devices when compared to high-end CPUs. Therefore, Bitcoin creates favourable conditions for a large gap between the voting power of participants as it violates the “one-CPU-one-vote” principle since GPU and ASIC owners possess a much larger voting power when compared with CPU owners. It is a classical example of the Pareto principle where 20% of a system’s participants control more than 80% of the votes.” [↩]
I would like to thank Ayoub Naciri for providing this example. [↩]
The underlying motivations for writing them was that Bitfury is trying to assure the world that public blockchains can still be used in “proprietary contexts.” While they provide a good frame for the issue, there are several leaps in logic, or direct contradictions to established theory that necessarily weaken their argument.
Below is my discussion of them. Note: as usual, this only represents my opinion and does not necessarily represent the views of the organizations that I advise or work for.
Overall I thought the two papers did not seem to have been reviewed by a wider audience including lawyers: specifically they should have sent them to commercial and securities lawyers to see if any legal issues should be considered. Much of their pitch basically amounts to mining for the sake of mining.
One final note: for additional commentary I also reached out to Dave Hudson who is proprietor of HashingIt and an expert as it relates to Bitcoin mining analysis. He is unaffiliated with Bitfury.
Notes for Part 1:
On p. 2, Bitfury wrote the following statement:
The key design element of blockchains – embedded security – makes them different from ordinary horizontally scalable distributed databases such as MySQL Cluster, MongoDB and Apache HBase. Blockchain security makes it practically impossible to modify or delete entries from the database; furthermore, this kind of security is enforced not through the central authority (as it is possible with the aforementioned distributed databases), but rather through the blockchain protocol itself.
Is this a problematic summary?
According to Dave Hudson:
As a network protocol engineer of many years I tend to find the concept of a “blockchain protocol” somewhat odd. Here’s a link to definitions of “protocol.”
What do we mean by protocol here? It’s not actually a network protocol because there is no “blockchain protocol”, there are many different ones (each altcoin has its own and there are many more besides). At best the idea of a “blockchain protocol” is more a meta-protocol, in that we say there are some things that must be done in order for our data to have blockchain-like characteristics. It’s those characteristics that provide for non-repudiation.
Also on p. 2, Bitfury uses the term “blockchain-based ledger.” I like that because, as several developers have pointed out in the past, the two concepts are not the same — distributed ledgers are not necessarily blockchains and vice versa.
On p. 4 and 5 they list several objections for why financial institutions are hesitant to use a public blockchain yet leave a couple noticeable ones off including the lack of a service level agreement / terms of service between end users and miners. That is to say, in the event of a block reorg or 51% attack, who calls who?
On p. 7, I don’t think that censorship resistance can be generalized as a characteristic for “all blockchains.”
In Dave Hudson’s view:
Moreover, censorship resistance makes absolutely no sense in many instances. Who would be censoring what?
I’m actually not convinced that censorship resistance is actually a “thing” in Bitcoin either. Plenty of well-formed transactions can be censored by virtue of them being dust or having non-standard scripts. If anything the only thing that Bitcoin does is provide a set of conditions in which a transaction is probabilistically going to be mined into blocks in the network.
For those interested, there are a handful of “standard’ transaction types that are usually accepted by most mining pools.
On p. 11, I disagree with this statement:
If a blockchain database is completely opaque for clients (i.e., they have no access to blockchain data), the security aspect of blockchain technology is diminished. While such system is still protected from attacks on the database itself, interaction with clients becomes vulnerable, e.g. to man-in-the middle attacks. As a built-in protocol for transaction authorization is one of core aspects of blockchain technology, its potential subversion in favor of centralized solutions could negatively influence the security aspect of the system. Additionally, as transactions are accessible to a limited set of computers, there exists a risk of human factor intervening into the operation of the blockchain with no way for clients to detect such interference. Thus, the opaque blockchain design essentially undermines the core aspects of blockchain technology:
• decentralization (absence of a single point of failure in the system)
• trustlessness (reliance on algorithmically enforced rules to process transactions with no human interaction required).
I think trustlessness is a red herring that cypherpunks and Bitcoiners have been perpetually distracted by. It may be an end-goal that many would like to strive for but trust-minimization is a more realistic intermediate characteristic for those operating within the physical, real world.
Why? Because existing institutions and legal infrastructure are not going to disappear tomorrow just because a vocal group of cryptocurrency enthusiasts dislikes them.
According to Dave Hudson:
As with so many things-Bitcoin, I think this is an implementation necessity being seen as a innately desirable characteristic. Bitcoin requires “trustlessness” because it’s non-permissioned, yet in truth it totally relies on trust to work. We trust that Sybil attacks aren’t happening and that network service providers are not colluding to support such attacks. We trust that a large body of miners are not colluding to distort the system. We trust that changes to the software (or updates to compilers and operating systems) have not rendered old, non-recently-used keys are still able to support signing of transactions. We trust that Satoshi (and other large holders) will not drop 1M, or worse 10M coins onto exchanges crashing the price to a few cents per coin! There’s no “too big to fail” here!
In truth real-world people actually like to trust things. They want to trust that their national governments will ensure services work and that invaders are kept out. They want to trust that law enforcement, fire and medical services will keep them safe. I’m not sure that I like the idea of a trustless Police force?
What people do like is the ability to verify that the entities that they actually do trust are in fact doing what they should. Blockchain designs allow us to do just this.
That last statement in particular succinctly summarizes some of the motivations for financial institutions looking to use a shared ledger that is not the Bitcoin blockchain.
On p. 12, I disagree with this statement:
While the permissioned nature of blockchains for proprietary applications may be a necessary compromise in the medium term because of compliance and other factors, read access to blockchain data together with the publicly available blockchain protocol would remove most of vulnerabilities associated with opaque blockchain designs and would be more appealing to the clients of the institution(s) operating the blockchain. As evidenced by Bitcoin, simplified payment verification softwarecan be used to provide a direct interface to blockchain data that would be both secure and not resource intensive.
The reason I disagree with this statement is because the term “opaque” is loaded and ill-defined.
For instance, several groups within the Bitcoin ecosystem have spent the last several years trying to delink or obfuscate transaction history via zk-SNARKs, stealth addresses, mixing via Coinjoin and Coinshuffle and other methods. This type of activity is not addressed by Bitfury — will they process Bitcoin transactions that are obfuscated?
Granular permissions — who is allowed to see, read or write to a ledger — is a characteristic some of these same Bitcoin groups are not fans of but is a needed feature for financial institutions. Why? Because financial institutions cannot leak or expose personal identifiable information (PII) or trading patterns to the public.
Securely creating granular permissions is doable and would not necessarily reduce safety or transparency for compliance and regulatory bodies. Operating a non-public ledger is not the same thing as being “opaque.” While hobbyists on social media may not be able to look at nodes run by financial institutions, regulators and compliance teams can still have access to the data.
It also bears mentioning that another potential reason some public blockchains have and/or use a token is as an anti-spam mechanism (e.g., in Ripple and Stellar a minute amount is burnt).1
On p. 13, I disagree with this statement:
The problem is somewhat mitigated if the access to block headers of the chain is public and unrestricted; however, convincing tech-savvy clients and regulators that the network would be impervious to attacks could still be a difficult task, as colluding operators have the ability to effortlessly reorganize the arbitrary parts of the blockchain at any given moment. Thus, the above consensus protocol is secure only if there is no chance of collusion among blockchain operators (e.g., operators represent ideal parties with conflicting interests). Proof of work provides a means to ensure absence of collusion algorithmically, aligning with the overall spirit of blockchain technology.
This is untrue. People run pools, people run farms. Earlier this year Steve Waldman gave a whole presentation aptly named “Soylent Blockchains” because people are involved in them.
As we have seen empirically, pool and farm operators may have conflicting incentives and this could potentially lead to collusion. Bitcoin’s “algorithms” cannot prevent exogenous interactions.
On p. 14 I disagree with this statement:
There is still a fixed number of miners with known identities proved by digital signatures in block headers. Note that miners and transaction processors are not necessarily the same entities; in the case that mining is outsourced to trusted companies, block headers should include digital signatures both from a miner and one or more processing institutions.
Having a “trusted company” run a proof-of-work mining farm is self-defeating with respect to maintaining pseudonymity on an untrusted network (which were the assumptions of Bitcoin circa 2009). If all miners are “trusted” then you are now operating a very expensive trusted network. This also directly conflicts with the D in DMMS (dynamic-membership multi-party signature).
According to Dave Hudson:
If the signing is actually the important thing then we may as well say there’s a KYC requirement to play in the network and we can scale it all the way back to one modest x86 server at each (with the 1M x reduction in power consumption). Of course this would kill mining as a business.
On p. 14 I think the Bitfury proposal is also self-defeating:
The proposed protocol solves the problem with the potentially unlimited number of alternative chains. Maintaining multiple versions of a blockchain with proof of work costs resources: electricity and hashing equipment. The hashing power spent to create a blockchain and the hashing power of every miner can be reliably estimated based on difficulty target and period between created blocks; an auditor could compare these numbers with the amount of hashing equipment available to operators and make corresponding conclusions.
The authors go into detail later on but basically they explain what we can already do today: an outside observer can look at the block headers to see the difficulty and guess how much hashrate and therefore capital is being expended on the hash.
On p. 15 they present their proposal:
Consequently, $10 million yearly expenses on proof of work security (which is quite low compared to potential gains from utilizing blockchain technology, estimated at several billion dollars per year [54]) correspond to the hash rate of approximately 38 PHash / s, or a little less than 10% of the total hash rate of the Bitcoin network.
This is entirely unneeded. Banks do not need to spend $10 million to operate hardware or outsource operation of that hardware to some of its $100 million Georgia-based hydro-powered facilities.
According to Dave Hudson:
Precisely; banks can use a permissioned system that doesn’t need PoW. I think this also misses something else that’s really important: PoW is necessary in the single Bitcoin blockchain because the immutability characteristics are derived from the system itself, but if we change those starting assumptions then there are other approaches that can be taken.
In section 3.1 the authors spend some time discussing merged mining and colored coins but do not discuss the security challenges of operating in a public environment. In fact, they assume that issuing colored coins on a public blockchain is not only secure (it is not) but that it is legal (probably not either).2
On p. 16 they mention “transaction processors” which is a euphemism that Bitfury has been using for over a year now. They dislike being called a mining company preferring the phrase “transaction processors” yet their closed pool does not process any kind of transactions beyond the Bitcoin variety.
On page 17 they wrote:
[M]aintenance of the metachain could be outsourced to a trusted security provider without compromising confidential transaction details.
If taken to the logical extreme and all of the maintenance was “outsourced” to trusted security providers they would have created a very expensive trusted network. Yet in their scenario, financial institutions would have to trust a Republic of Georgia-based company that is not fully transparent.
Also on page 17 they start talking about “blockchain anchors.” This is not a new or novel idea. As other developers have spoken about the past and Guardtime puts anchors into newspapers like The New York Times (e.g., publishes the actual hashes in a newspaper). And, again, this could easily be done in other ways too. Why restrict anchoring to one location? This is Bitcoin maximalism at work again.
On p. 20 they wrote:
Bitcoin in particular could be appropriate for use in blockchain innovations as a supporting blockchain in merged mining or anchoring due to the following factors: • relatively small number of mining pools with established identities, which allows them to act as known transaction validators by cooperating with institutions
This is self-defeating for pseudonymous interactions (e.g., Bitcoin circa 2008). Proof-of-work was integrated to fight Sybil attacks. If there are only a few mining pools with established identities then there are no Sybil’s and you effectively have an extremely expensive trusted network.
Notes on Part 2:
On p. 3 they wrote:
If an institution wants to ensure that related Bitcoin transactions are mined by accredited miners, it may send transactions over a secure channel directly to these miners rather than broadcasting them over the network; accepting non-broadcast transactions into blocks is a valid behavior according to the Bitcoin protocol.
An “accredited miner” is a contradiction.
On p. 4 the first paragraph under section 1.3 was well written and seems accurate. But then it falls apart as they did not consult lawyers and financial service experts to find out how the current plumbing in the back-office works — and more importantly, why it works that way.
On p.4 they wrote:
First, the transfer of digital assets is not stored by the means of the Bitcoin protocol; the protocol is unaware of digital assets and can only recognize and verify the move of value measured in bitcoins. Systems integrating digital assets with the Bitcoin blockchain utilize various colored coin protocols to encode asset issuance and transfer (see Section 2.2 for more details). There is nothing preventing such a protocol to be more adapted to registered assets.
Second, multisignature schemes allow for the creation of limited trust in the Bitcoin environment, which can be beneficial when dealing with registered assets and in other related use cases. Whereas raw bitcoins are similar to cash, multisignature schemes act not unlike debit cards or debit bank accounts; the user still has a complete control of funds, and a multisignature service provides reputation and risk assessment services for transactions.
This is the same half-baked non-sense that Robert Sams rightly criticized in May. This is a centralized setup. Users are not gaining any advantage for using the Bitcoin network in this manner as one entity still controls access via identity/key.
On p. 5 they wrote:
One of the use cases of the 2-of-3 multisignature scheme is escrow involving a mediator trusted by both parties. A buyer purchasing certain goods locks his cryptocurrency funds with a multisignature lock, which requests two of the three signatures: the buyer’s, the seller’s, and the mediator’s.
This is only useful if it is an on-chain, native asset. Registered assets represent something off-chain, therefore Bitcoin as it exists today cannot control them.
On p. 6 they talk about transactions being final for an entire page without discussing why this is important from a legal perspective (e.g., why courts and institutions need to have finality). This paper ignores how settlement finality takes place in Europe or North America nor are regulatory systems just going to disappear in the coming months.
On page 7 they mention that:
To prevent this, a protocol could be modified to reject reorganizations lasting more than a specified number of blocks (as it is done in Nxt). However, this would make the Bitcoin protocol weakly subjective [21], introducing a social-driven security component into the Bitcoin ecosystem.
There is already a very publicly known, social-driven security component: the Bitcoin dev mailing list. We see this almost daily with the block-size debate. The statement above seems to ignore what actually happens in practice versus theory.
On p. 7 and 8 they write:
The security of the Bitcoin network in the case of economic equilibrium is determined by the rewards received by block miners and is therefore tied to the exchange rate of Bitcoin. Thus, creating high transaction throughput of expensive digital assets on the Bitcoin blockchain with the help of colored coin protocols has certain risks: it increases the potential gain from an attack on the network, while security of the network could remain roughly the same (as there are no specific fees for digital asset transactions; transaction fees for these transactions are still paid in bitcoins). The risk can be mitigated if Bitcoin fees for asset transactions would be consciously set high, either by senders or by a colored coins protocol itself, allowing Bitcoin miners to improve security of the network according to the value transferred both in bitcoins and in digital assets.
There is no way to enforce this increase in fee. How are “Bitcoin fees for asset transactions … consciously set high”? This is a question they never answer, (Rosenfeld 2012) did not answers it, no one does. It is just assumed that people will start paying higher fees to protect off-chain securities via Bitcoin miners.
There is no incentive to pay more and this leads to a hold-up problem described in the colored coin “game” from Ernie Teo.
On p. 8 they wrote:
As there is a relatively small number of Bitcoin mining pools, miners can act as known processors of Bitcoin transactions originating from institutions (e.g., due to compliance reasons). The cooperation with institutions could take the form of encrypted channels for Bitcoin transactions established between institutions and miners.
This is silly. If they are known and trusted, you have a trusted network that lacks a Sybil attacker. There is no need for proof-of-work mining equipment in such a scenario.
On p. 8 they wrote:
In the ideal case though, these transactions would be prioritized solely based on their transaction fees (i.e., in a same way all Bitcoin transactions are prioritized), which at the same time would constitute payments for the validation by a known entity. Thus, this form of transaction processing would align with the core assumption for Bitcoin miningthat miners are rational economic actors and try to maximize their profit.
It cannot be assumed that miners will all behave as “rational economic actors.” They will behave according to their own specific incentives and goals.
On p. 9 they wrote:
Additionally, partnerships between institutions and miners minimize risk in case transactions should not be made public before they are confirmed.
Registered and identifiable miners is the direct anti-thesis of pseudonymous interactions circa Bitcoin 2008. That type of partnership is a win-lose interaction.
On p. 10 they wrote:
One of the interesting financial applications of colored coins is Tether (tether.to), a service using colored coins to represent US dollars for fast money transfer. Several cryptocurrencies such as Nxt and BitShares support custom digital assets natively.
As it exists today, Tether.to is similar in nature to a Ripple gateway such as SnapSwap: both are centralized entities that are subject to multiple regulatory and compliance requirements (note: SnapSwap recently exited its USD gateway business and locked out US-based users from its BTC2Ripple business).
According to FinCEN’s MSB Registrant Search Web page, Tether has a registration number (31000058542968) and one MSB. While they have an AML/CTF program in place, it is unclear in its papers how Bitfury believes the Bitcoin network (which Tether utilizes) can enforce exogenous claims (e.g., claims on USD, euros, etc.).
Furthermore, there has been some recent research looking at how the Federal Reserve and the Bank of England could use distributed ledgers to issue digital currency.3
If a central bank does utilize some kind of distributed ledger for a digital currency they do not need proof-of-work mining or the Bitcoin network to securely operate and issue digital currency.
Ignoring this possible evolution, colored coins are still not a secure method for exogenous value transfers.
On page 10 they wrote:
Colored coins are more transparent for participants and auditors compared to permissioned blockchains
This is untrue and unproven. As Christopher Hitchens would say, what can be asserted without evidence can be dismissed without evidence.
On page 10 they wrote:
As colored coins operate on top of permissionless blockchains, systems using colored coins are inherently resistant to censorship – restrictions on transactions are fully specified by a colored coins protocol instead of being enforced by a certain entity
This is also untrue. This is a bit like trying to have their cake and eat it too.
On page 11 they have a diagram which states:
Figure 2: Using colored coins on top of the Bitcoin blockchain to implement asset transactions. For compliance, financial institutions may use secure communication channels with miners described in Section 2.1 to place asset transactions on the blockchain
Again this is self-defeating. As the saying goes: be careful what you wish for. If Bitfury’s proposal came true, their pool(s) could become payment service providers (PSP) and regulated by FinCEN.
On page 12 and 13 they wrote:
Bitcoin and other public permissionless blockchains could be a part of the interconnected financial environment similarly to how cash is a ubiquitous part of the banking system. More concretely, cryptocurrencies could be used as: • one of the means to buy and sell assets on permissioned blockchains • an instrument that enables relatively fast value transfer among permissioned blockchains • an agreed upon medium for clearing operations among blockchains maintained by various institutions (Fig. 4).
Bitcoins as a permanent store-of-value are effectively a non-starter as they lack any endogenous self-stabilizing mechanism.4
According to Dave Hudson:
The systemic risks here just make this idea farcical. The Internet is somewhat immune to this because there are technology providers all over the world who can independently choose to ignore things in regulatory domains that want to do “bad things”. There is no such safety net in a system that relies on International distributed consensus (the Internet has no such problem, although DNS is a little too centralized right now). Even if it could somehow be guaranteed that things can’t be changed, fixed coin supply means artificial scarcity problems are huge (think Goldfinger trying to irradiate the gold in Fort Knox) – you wouldn’t need a nuclear weapon, just a good piece of malware that could burn coins (if they’re not stolen then there’s no way to trace who stole them). There’s also the 1M coins dropped onto exchanges problem.
The discussion over elastic and inelastic money supplies is a topic for another post.
On page 15 they wrote:
If a blockchain is completely opaque for its end users (e.g., a blockchain-based banking system that still uses legacy communication interfaces such as credit cards), the trustless aspect of blockchains is substantially reduced. End users cannot even be sure that a blockchain system is indeed in use, much less to independently verify the correctness of blockchain data (as there is no access to data and no protocol rules to check against). Human factor remains a vulnerability in private blockchain designs as long as the state of the blockchain is not solely based on its protocol, which is enforced automatically with as little human intervention as possible. Interaction based on legacy user authentication interfaces would be a major source of vulnerabilities in the case of the opaque blockchain design; new interfaces based on public key cryptography could reduce the associated risk of attacks.
While mostly true, there are existing solutions to provide secure verification. It is not as if electronic commerce did not or could not occur before Bitcoin came into existence. Some private entities take operational security seriously too. For instance, Visa’s main processing facility has 42 firewalls and a moat.
On page 15 they wrote:
Proprietary nature of private blockchains makes them less accessible; open sourced and standardized blockchain implementations would form a more attractive environment for developers and innovations. In this sense, blockchains with a public protocol are similar to open Internet standards such as IP, TCP and HTTP, while proprietary blockchain designs could be similar to proprietary Internet protocols that did not gain much traction. A proprietary blockchain protocol could contain security vulnerabilities that remain undiscovered and exploited for a long time, while a standardized open blockchain protocol could be independently studied and audited. This is especially true for protocols of permissionless blockchains, as users have a direct economic incentive to discover vulnerabilities in the system in order to exploit them.
This is just scaremongering. While some of the “blockchain” startups out there do in fact plan to keep the lower layers proprietary, the general view in October 2015 is that whatever bottom layer(s) are created, will probably be open-sourced and an open-standard. Bitcoin doesn’t have a monopoly on being “open” in its developmental process.
On page 15 they wrote:
As the Bitcoin protocol has been extensively studied by cryptographers and scientists in the field, it could arguably form the basis for the standardized blockchain design.
This is untrue, it cannot be the backbone of a protocol as it is not neutral. In order to use the Bitcoin network, users are required to obtain what are effectively illiquid pre-paid gift cards (e.g., bitcoins). Furthermore, an attacker cannot collect “51%” of all TCP/IP packets and take over the “internet” whereas with Bitcoin there is a real “majoritarianism” problem due to how network security works.
A truly neutral protocol is needed and there have been at least two proposals.5
On page 15 they wrote:
The key design element of blockchains is “embedded economy” – a superset of embedded security and transaction validation. Each blockchain forms its own economic ecosystem; a centrally controlled blockchain is therefore a centrally controlled economy, with all that entails.
This is untrue. If we are going to use real-world analogies: Bitcoin’s network is not dynamic but rather disperses static rewards to its labor force (miners). It is, internally, a rigid economy and if it were to be accurately labeled, it is a command economy that relies on altruism and VC subsidies to stay afloat.6
On page 16 they wrote:
It is not clear how the blockchain would function in the case validators would become disinterested in its maintenance, or how it would recover in the case of a successful attack (cf. with permissionless blockchains, which offer the opportunity of self-organization).
The statement above is unusual in that it ignores how payment service providers (PSPs) currently operate. Online commerce for the most part has and likely will continue to exist despite the needed maintenance and profit-motive of individual PSPs. There are multiple motivations for continued maintenance of maintenance transfer agreements — this is not a new challenge.
While it is true that there will likely be dead networks in the futures (just like dead ISPs in the past), Bitcoin also suffers from a sustainability problem: it continually relies on altruism to be fixed and maintained and carries with it an enormous collective action burden which we see with the block-size debate.
There are over a hundred dead proof-of-work blockchains already, a number that will likely increase because they are all public goods that rely on external subsidies to exist. See Ray Dillinger’s “necronomicon” for a list of dead alt coins.
If Bitfury’s proposal for having a set of “fixed” miners arises, then it is questionable about how much self-organization could take place in a static environment surrounding a public good.
Conclusion
Despite the broad scope of the two papers from Bitfury neither was able to redress some of the most important defects that public blockchains have for securing off-chain assets:
how is legal settlement finality resolved
how to incentivize the security of layers (such as colored coins) which distort the mining process
how to enforce the security of merged mining which empirically becomes weaker over time
If Bitfury is truly attempting to move beyond merely processing Bitcoin transactions in its Georgian facilities, it needs to address what constraints and concerns financial institutions actually face and not just what the hobbyist community on social media thinks.
About six weeks ago I mentioned a dollar figure during a panel at the Consensus event in NYC: $6 million. Six million USD is a loose estimate — for illustrative purposes — of the amount of engineering time representing thousands of man hours over the past 7-9 months that has gone into a productivity black hole surrounding the Bitcoin block size debate.
A little recent history
While there had been some low intensity discussions surrounding block size(s) over the past several years, most of that simmered in the background until the beginning of 2015.
On January 20th Gavin Andresen posted a 20 MB proposal which was followed over the subsequent weeks by a number of one-and-done counterpoints by various developers.
About four months later, beginning on May 4, Gavin posted a series of blog articles that kicked things up a notch and spurred enormous amounts of activity on social media, IRC, web forums, listservs, podcasts and conferences.
The crescendo of public opinion built up over the summer and reached a new peak on August 15th with a post from Mike Hearn, that Bitcoin would fork into two by the beginning of next year.
The passionate enthusiasts on all sides of the spectrum took to social media once again to voice their concerns. During the final two weeks of August, the debate became particularly boisterous as several moderators on reddit began to bandiscussions surrounding Bitcoin XT (among other forks and proposals). There was even an academic paper published that looked at the sock puppets involved in this period: Author Attribution in the Bitcoin Blocksize Debate on Reddit by Andre Haynes.
Ignoring the future evolution of block size(s), with respect to the opportunity costs of the debate itself: investors and consumers have unintentionally funded what has turned out to be a battle between at least two special interest groups. 1
So where does the $6 million figure come from?
Of the roughly $900 million of VC funding related to Bitcoin itself that has been announced over the past 3 years, about half has been fully spent and went towards legal fees, domain names, office rent, conference sponsorship’s, buying cryptocurrencies for internal inventory and about a dozen other areas.2
At the current burn rate, Bitcoin companies collectively spend about $8-$10 million a month, perhaps more. And since the debate is not isolated to development teams, because upper management at these companies are involved in letter writing campaigns (and likely part of the sock puppet campaigns), then it could be the case that 5-10% of on-the-clock time at certain companies was spent on this issue.
Consequently, this translates into about $400,000 to $1 million each month which has been redirected and spent funding tweets, reddit posts, blog posts, conferences, research papers and industryconferences.3
What about specific numbers?
For instance, with around 150-200 attendees the Montreal scalability conference likely absorbed $250,000 from everyone involved (via travel, lodging, food, etc.). Similarly, one independent estimate that Greg Maxwell mentioned at the same Consensus event was his back-of-the-envelope projection of the opportunity costs: a few hundred thousand USD in the first couple weeks of May alone as engineers were distracted with block sizes instead of shipping code.
While a more precise number (+/-) could probably be arrived at if someone were to link individual developer activity on the dev mailing list/reddit/twitter with their estimated salaries on Glassdoor — since this past spring roughly $6 million or so has probably gone towards what has amounted to basically two diametrically opposed political campaigns.
And the issue is still far from resolved as there are more planned scalability conferences, including one in Hong Kong in early December.
Why is it a black hole though? Surely there is utility from the papers and projects like Lightning, right?
It’s a money pit because it doesn’t and cannot resolve the coordination problem that decentralized governance creates. I have an upcoming paper that briefly touches on this issue (in Appendix A): the key point is that any time decision making is decentralized then specific trade-offs occur.
In this case, due to an intentional power vacuum in which there is no “leader,” special interest groups lobby one another for the de facto right to make decisions. Some decisions, like raising the minimum transaction relay fees involve less tweets and downvotes and are for various reasons considered less important as others. Yet ultimately, de jure decision making remains out of reach.
Not the first time to a rodeo
Because decentralized governance (and external social consensus) was/is a key feature for many cryptocurrencies, this type of political activity could happen again with say, increasing the money supply from 21 million or if KYC becomes mandatory for all on-chain interactions.
Again, this was bound to happen because of the tragedy of the commons: because the Bitcoin network is a public good that lacks an explicit governance structure. Anytime you have a lack of formal governance you often end up with an informal power structure that makes it difficult to filter marketing fluff from sock puppets like Cypherdoc (aka Marc Lowe) from actual fact-filled research.
And this subsequently impacts any project that relies on the Bitcoin network as its security mechanism. Why? According to anecdotes, projects from new organizations and enterprises have reconsidered using public blockchains due to the aforementioned inherent governance hurdles alone.
After all, who do they call when the next Mexican standoff, block reorg or mutually assured destruction situation arises? There is no TOS, EULA or service-level agreement and as a result they look at other options and platforms.4
It is probably too simplistic to say that, with $6 million in funding, these same developers could have simply created a new system, like Ethereum, from scratch that factors in scalability challenges from day one. It is unlikely that these same developers would have come to agreement on what to spend those funds on as well. [↩]
It has been a little while since I posted the events, panels and presentations I have been involved with. Below is some of the public activity over the past 5-6 months.
About a year ago I briefly explored the PR and branding challenges of Bitcoin, a topic that has been independently discussed by others.
Over the past 6 months there has been a visible trend in the overall “Bitcoin” space to rebrand or not use the term “Bitcoin” on corporate material. This has been done for a variety of reasons.
Some startups simply are no longer touching or interfacing with bitcoins or the Bitcoin network. Others do not want to be affiliated with the term preferring the alternative “Blockchain” as a catch-all euphemism.
For instance, below are 10 companies which raised their Series A (and sometimes more) and were originally affiliated with “Bitcoin” in some manner but are no longer publicly positioning themselves as such:
Abra ($14 million): originally launched as a “rebittance” company, still claims to use the Bitcoin network but the word Bitcoin does not appear on its homepage
BitGold ($5.3 million): pivoted from Bitcoin last December
Bitreserve ($14.6 million): rebranded as Uphold and now vocally moving away from Bitcoin
ChangeTip ($4.25 million): removed the word Bitcoin from its frontpage, now focused on USD-denominated tips
Chain ($43.7 million): after closing its recent B round, remarketed from Bitcoin-only and removed the word Bitcoin from its frontpage except in the headlines of past news articles
Circle ($76 million): rebranded after receiving a Bitlicense; neither its frontpage nor its new 60 second ad use the word Bitcoin
Cryex ($10 million): the word Bitcoin does not appear on its frontpage
Mirror, formerly Vaurum ($12.8 million): the word Bitcoin does not appear on its frontpage (but does on some older blog posts)
Peernova ($19 million): originally a Bitcoin mining company that is no longer affiliated with Bitcoin at all
Vogogo ($21 million): the word Bitcoin does not appear on its frontpage
A few others who have done marketing changes (some more substantive than others):
BTC China ($5 million): still focused on its virtual currency exchange renamed itself as BTCC to move further abroad into the international marketplace
itBit ($28.25 million): in addition to running its virtual currency exchange, they also launched the Bankchain initiative this past summer
DAH: originally planned on using the Bitcoin blockchain but broadened its scope during the summer after acquiring Hyperledger; the word Bitcoin does not appear on its homepage although it still uses the network for product launches (like Pivit)
Symbiont: originally used the Counterparty platform and the Bitcoin network as part of its financial service, but has now built a permission-based system
Align Commerce, Serica and many others do not use the word Bitcoin on their homepages yet still use the Bitcoin network for some lines of business
Coindesk renamed their quarterly report: “State of Bitcoin and Blockchain”
Inside Bitcoins (the conference circuit) added “with Blockchain Agenda” prominently at the top of their homepage
As visualized in the chart above, Bitcoin-related investments have declined the past two quarters.
However, the chart is not fully accurate as CBI includes 21inc funding as “one” round in Q1 2015. According to Nathaniel Popper, 21inc did not raise its war chest in one round but rather over the course of 3 rounds. So it is likely that Q1 2015 probably was altogether around $175 million as the other ~$60 million were raised in 2013 and 2014. Similarly Q3 2015 should be less as Chain.com is no longer a Bitcoin-specific company.
What about other changes in the VC world?
Crypto Currency Partners: renamed itself Blockchain Capital
Boost VC: while the word Bitcoin does appear on its homepage, in his most recent writeup of its portfolio, Adam Draper does not use the word Bitcoin but instead uses “block chain” to describe his investments
Pantera: while it remains publicly committed to Bitcoin, based on its most recent newsletter the team likely views the word “blockchain” as more palatable to investors and LPs.
For instance, the year-over-year comparison of word frequency between two Pantera Capital newsletters:
DCG: launched its website during the summer, prominently display the word “blockchain technology” instead of Bitcoin, despite the fact that nearly all of its portfolio is Bitcoin-reliant or Bitcoin-specific.
In fact it appears that the trend by some VC-backed Bitcoin-heavy portfolio’s adopting the term “blockchain” is a marketing gimmick as neither DCG, Pantera nor Boost have purposefully invested in non-Bitcoin blockchain companies. In fact, individuals such as Barry Silbert (founder of DCG) are outspoken in their dismissal of non-Bitcoin blockchains.
What are some reasons for the decline shown in the CBI numbers?
Part of it has to do with the fact that consumer-facing Bitcoin companies have found muted traction, if any at all. For instance, BitPay (which raised $32.5 million) recently laid off most of its staff, liquidated a large portion of its bitcoin holdings, raised its fees in order to stay afloat and did a (non-pivot) pivot towards catering to other enterprises. This looks bad for other Bitcoin-branded companies looking to try and raise funds for consumer-facing products.
Another reason is that some of the buzz and froth simmered down with the price of bitcoin itself. It seems common parlance to hear people at conferences say “the price of bitcoin doesn’t matter” but that is very untrue for fundraising. If prices were on a tear into orbit or were managing some stability higher than it was 2 years ago, it’d be easier for entrepreneurs to convince new investors (not just the same 4-5 funds) to deploy new capital in Bitcoin-specific products. Maybe Gemini will change that?
So where has some capital been deployed instead?
Into that amorphous catch-all term: “blockchain.”
There are just over a dozen “blockchain” / distributed ledger startups collectively trying to raise $200 million at over a $1 billion valuation.
And incidentally, there are a couple companies in each of the VC portfolio’s above that have now built non-Bitcoin blockchains or ledgers.
Some of them are currently raising while others recently closed funding rounds.
This includes: Symbiont, Chain, Peernova, Ripple, Eris, Setl, Credits, Tradeblock, itBit, Tembusu, Clearmatics, MultiChain, BlockStack, DAH, Blockstream (via Liquid) and a few others in stealth that well, are in stealth.
The term “blockchain technology” is basically a catch-all term at this point.
In many cases, when someone at a fintech conference now says they’re interested in “blockchain technology” it typically means they are interested in common elements like public/private key signing, resolutions to double-spending and permission-based multitenancy environments. Bitcoin, as described by Gwern Branwen, was not the creator of those elements.
What will next year look like? Will there be a new term that is co-opted? Or are we stuck using a word that never appeared in the original Satoshi white paper (it had a demarcated space between “block chain”) and has now become an umbrella term for many different neat ideas?
Over the past two weeks there have been a number of news stories related to R3 — a fintech startup that I now work at. The first of which was from the Financial Times, entitled Blockchain initiative backed by nine large investment banks. Today we announced an additional 13 banks have joined our effort.
Although I cannot speak for the whole team, I can give you the vision I have with the aim of bringing clarity to the various bits of information that have been circulating.
Homework
Over the past year, the R3 team has spent copious amounts of time conducting due diligence on the greater “distributed ledger” or “shared ledger” space. I joined as an advisor in January when they were already knee deep in the task; I am now Director of Market Research.
What I and several others on the team found is that while there were a number of orthogonally useful pieces floating around (such as multisig and ideas like Engima), none of the publicly available technology platforms that has been funded by venture capital provided a flexible, holistic base layer with the specific functional requirements for secure, scalable enterprise use.
This includes incorporating non-functionals that globally regulated financial institutions must adhere to such as: compliance, privacy, reporting and reconciliation. Similarly, many of the venture funded projects also failed to address the business requirements of these same institutions.
In sportsball terms, the nascent industry is 0-for-2 in their current approach.
Some of that is understandable; for example, Bitcoin solves a set of problems for a niche group of individuals operating under certain security assumptions (e.g., cypherpunks not wanting to interface with banks or governments). Regulated financial institutions do not operate under those assumptions, thus axiomatically Bitcoin in its current form is highly unlikely to be a solution to their problems at this time. As a consequence, the technology solutions pitched by many of these startups are hammers looking for nails that do not exist in the off-chain world.
R3 is not a Bitcoin company nor a cryptocurrency company. We are not seeking to build a “better” or even a different type of virtual currency. Why not? Instead of starting with a known solution, such as a spreadsheet, we are starting with the problem set which continually influences the customized solution. This is one of the biggest reasons I was attracted to this specific effort: R3 is not a re-enactment of Field of Dreams. Build it with the hopes that someone will come is the siren song, the motto even, for throngs of failed startups.
But weren’t the original shared ledgers — often called blockchains — robust enough to protect all types of assets and a legion of use-cases?
Many public ledgers were originally designed to secure endogenous, on-chain information (e.g., the native token) but in their current incarnations are not fit for purpose to handle off-chain titles. For instance, Bitcoin was not initially designed to secure exogenous data — such as transmitting high-value off-chain securities — vis-a-vis pseudonymous miners. And it appears all attempts to mutate Bitcoin itself into a system that does, ends up creating a less secure and very expensive P-o-P network.
What are we doing then?
Rather than try to graft and gerrymander our business requirements onto solutions designed for other problems, we are systematically looking at a cornucopia of challenges and cost-drivers that currently exist at financial institutions. We will seek to address some of these drivers with a generalized agnostic fabric, with layers that fulfill the critical infrastructure specifications of large enterprises and with services that can be run on top in a compliant fashion.
What is a Global Fabric for Finance (G3F) then? If you had the chance to build a new financial information network from scratch that incorporated some of the elements and learnings of the shared ledger world, what would it look like?
For starters, a fabric specifically built for and by trusted parties does not need something akin to mining or block rewards. In fact, not only is there is no Sybil spoofing problem on a trusted network but there are already many known, existing methods for securely maintaining a transaction processing system. Consequently, needing a block reward may (or may not) be a red herring and has likely been a costly, distracting sideshow to other types of utility that this technology represents.
If trust is not an issue, what use (as Arvind Narayanan and certain high profile enthusiasts have asked) is any part of the shared ledger toolkit? There are a number of uses, many of which I touched on in a paper back in April.
What about specific use-cases?
While a number of ideas that have surfaced at conferences and media events over the past summer, R3 remains focused on an approach of exploration and ideation.
And while there will likely be some isolated tests on some use-case(s) in sand boxes in the coming year, it is important to reflect on the G3F vision which will be further elaborated on by Richard Brown (our head of technology) in the coming weeks. If the fabric is only capable of handling one or two specific asset classes, it will fall short of the mandate of being a generalized fabric used to secure financial information for enterprises.
Why directly work with banks during this formative stage? Why not just raise money and start building and shipping code?
To be frank, if financial institutions and regulatory bodies are not involved and engaged from the beginning, then whatever fabric created will likely: 1) fail to be viewed as an authoritative and legal record of truth and 2) fall short of adequately address their exacting needs. It would be a non-starter for a financial institution to use technology that is neither secure, or whose on-chain record is considered non-canonical by off-chain authorities.
What does that mean?
While some in the shared ledger community would like to believe that dry, on-chain code supersedes off-chain wet-code, the facts on the ground continue to contradict that thesis. Therefore, if you are going to create a non-stealth fintech startup, it must be assumed that whatever products and services you create will need to operate under existing laws. Otherwise you will spend most of your time hiding out in remote Caribbean islands or Thailand.
Growth
The R3 team is comprised of pragmatic thinkers and doers, experienced professionals who understand that a financial system cannot be built with up and down votes on reddit or whose transaction processors may reside in sanctioned countries.
While nothing is finalized at the time of this writing, it is our aim at R3 to make the underlying base layer of this fabric both open sourced and an open standard.
After all, a foundation layer this critical would benefit from the collective eyeballs of the entire programming community. It also bears mentioning that the root layer may or may not even be a chain of hashed blocks.
Furthermore, we are very cognizant of the fact that the graveyard for building industry standards is deep and wide. Yet, as I mentioned to IBT, failing to create a universal standard will likely result in additional Balkanization, recreating the same silos that exist today and nullifying the core utility of a shared ledger.
It is a pretty exciting time in modern history, where being a nerd — even a cryptonerd — means you are asked to appear on stage in front of decision makers, policy makers, captains of industry and social media influencers. Some even get to appear in person and not just as a telepresence robot. Yet as neat as some of the moon math and cryptographic wizardry may be, failing to commercialize it in a sustainable manner could leave many of the innovative forks, libraries and github repos no more than starry-eyed science fair projects.
To that end, we are currently hiring talented developers keen on building a scalable, secure network. In addition, rather than reinventing the wheel, we are also open to partnerships with existing technology providers who may hold key pieces to building a unified standard. I am excited to be part of this mathematical industrial revolution, it’s time to strike while the iron is hot and turn good academic ideas into commercial reality. Feel free to contact us.
A few days ago I was asked a number of questions from a reporter at CoinDesk regarding on-chain trade volume; this was a follow-up from some questions back in early May.
Q: How have the recent posts from Coinbase and BitPay impacted the diagram you outlined in that previous post? Has it had any impact at all?
A: The most striking data point from the Coinbase and BitPay posts was what was missing: actual real user numbers. Neither one of them is willing to publicly say how many monthly active users (MAU) they have which stands in contrast to other fintech companies, financial institutions and “social media” startups they like to compare themselves to.
For instance, even though Coinbase claims to have 2.4 million users/3.1 million wallets, what does that mean? Are these all fully KYC’ed accounts? What percent have logged on in the past month? What percent have actually used Coinbase’s services? How many simply create an account, deposit $10 and never log on again?
Similarly, BitPay numbers are actually pretty sobering. We know demographically from both the CoinDesk report and the leaked Coinbase pitch deck that the over 80% of all bitcoin holders/owners are males between the ages of 18-45. And that the majority of the overall users reside in North America. Yet according to the BitPay charts, North American volume has been relatively flat the last 6 quarters.
So if the largest group of bitcoin owners are not using their holdings despite a marked increase in available merchants, that is probably not an indication that they are interested in spending their funds and probably see bitcoins as an investable asset than actual money. BitPay also does not disclose aggregate USD or euro volume. Startups like to make noise when they are doing good or can show growth; if the value of their volume was actually growing, they probably would say.
And while transaction count in Europe and Latin America appear to be growing, perhaps the collective value has stayed the same (the Latin America numbers are also a bit misleading; it’s easy to show large growth percentages when you start from 0).
Another point about BitPay’s post is that they don’t really say what “IT services” is. Notably absent from this post, compared with their post in April, is what “mining” related activity is. Recall that some miners, such as KnC and now defunct BFL were (are) using BitPay as their payment processor. In fact, in BitPay’s post earlier this year, “Bitcoin Mining” — by volume — represented the largest share of volume processed. Does “IT services” now include this previously large segment?
Lastly, one number they do not include is the total aggregate transactions by each quarter. Eye-balling it, it appears for Q2 2015 they processed about 180,000 transactions. Divided by 60,000 merchants comes to around 3 transactions per quarter or 1 transaction per month per merchant.
In all likelihood usage follows a power law or a 80-20 rule, that 20% of the merchants account for the majority of transaction volume. My understanding is that Gyft uses (or used BitPay) as their payment processor and since 9% of all bitcoin-related transactions last quarter were related to gift cards, it is likely that the lionshare of this “gift card” activity in the power law distribution is represented by just one or two companies (e.g., FoldApp and Purse.io are a couple potential ones to look at as well).
Startups like Blockseer, Sabr, Coinalytics and Chainalysis have APIs and address labeling that may be able to tell us more about specific merchant/payment processor activity,
Q: Also, are clearnet tx outweighed by darknet tx with bitcoin? Silk Road and other marketplaces were the first use case for bitcoin, but are they still the biggest?
A: According to a new paper (Soska and Christin 2015), if you look at Figure 5 and the discussion involved, prior to Operation Olympus, six large dark net marketplaces collectively accounted for more than $600,000 in sales per day. It is unclear how much of that activity was expressly illegal, although the paper does attempt to break down the amount of illicit drugs being sold on the same sites.
Source: Soska and Christin
During the same time frame (most of 2014), volume at payment processors such as BitPay and Coinbase were relatively flat with a few outliers during days with speculative and media frenzies as well as ‘Bitcoin Black Friday.’
As of today it is unclear what activity is the “biggest” — we would need to aggregate all of the dark net marketplaces and compare that with the reused addresses BitPay uses plus the self-disclosed numbers from Coinbase.
In the chart above, illustrating off-chain activity between August 14, 2014 – August 13, 2015, it is also unclear from Coinbase’s number what a “off-chain” transaction is. Is it only related to merchant activity? Does it also include movement between users or with cold storage as well?
Therefore based on past historical trends (above) I do not think that “clearnet” or on-chain “licit” activity outweighs illicit transactions. One darknet market alone — Evolution — processed roughly the same amount of bitcoins last year as BitPay did.
Q: Do you think consumer volumes will change significantly in the next year – what would it take for this to happen?
A: It depends on what we mean by “consumer volume.” If this includes both illicit and licit activity, sure, maybe. If it also includes “off-chain” transactions, then yes, probably as well. But it is important to note you are not using Bitcoin (or bitcoin) when you go off-chain. The transparency and auditability trail disappears and a user is now reliant on a trusted third party — many of whom in the “Bitcoin space” have a checkered past on financial controls — to protect and secure your privkeys.
I think we have already largely witnessed what the “killer apps” that incentivize increased usage of on-chain bitcoin activity are: censorship-resistant activities.
If the goal of Bitcoin was to provide a censorship-resistant payment processing platform (the word “payment” appears 12 times in the white paper) then it is safe to say that: dark net markets, casino sites, ransomware and other activities that require censorship-resistance and cannot be globally accessed on permissioned networks will continue to attract users towards it.1
It is my view that the following two laws explain the on-chain phenomenon we observe on a regular basis. Folk law: “Anything that needs censorship-resistance will gravitate towards censorship-resistant systems.” In contrast is Sams’ law: “Anything that doesn’t need censorship-resistance will gravitate towards non censorship-resistant systems.”
As far as other “apps” such as sites like Zapchain, while boasting growth numbers, appears to recreate a trusted third party system (e.g., facilitate deposit-taking and MSB activities like other hosted wallets) all while simultaneously scraping content from other sites.2
In closing, one last comment related to real on-chain trade (as opposed to spam-like “long-chain transactions“) is the recent announcement / non-announcement from TigerDirect. Jorge Stolfi, a computer science professor in Brazil, probably best summarized the nebulous responses from the electronic retailer:
How much have you been making in bitcoin payments? “While Expedia has seen a decrease in bitcoin payments, TigerDirect shared a different story.”
How many customers are paying with bitcoin? “46 percent of customers purchasing with bitcoin are new users”
Sorry, how much did you say you made with bitcoin payments? “the average order placed with bitcoin is 30 percent larger than the average order.”
Yes, but, how much are you selling with bitcoin? “TigerDirect sees the highest volume of bitcoin orders during periods of volatility for bitcoin price.”
We would really like to know how much, roughly, you are getting from bitcoin payments. “TigerDirect has still seen consistent bitcoin transaction volume.”
According to Kotov and Rajpal, bitcoins are now the most common method of payment for ransomware. See Understanding Crypto-Ransomware. [↩]
Zapchain uses Coinbase as a wallet provider for deposits — the tipping of transactions is done via via BlockCypher. [↩]
A couple hours ago I gave the following presentation to Infosys / Finacle in Mysore, India with the Blockchain University team. All views and opinions are my own and do not represent those of either organization.
Earlier today I gave the following presentation to Infosys / Finacle in Mysore, India with the Blockchain University team. All views and opinions are my own and do not represent those of either organization.
A few hours ago I gave the following presentation to Infosys / Finacle in Mysore, India with the Blockchain University team. All views and opinions are my own and do not represent those of either organization.
On my trip to Singapore two weeks ago I read through a new book The Age of Cryptocurrency, written by Michael Casey and Paul Vigna — two journalists with The Wall Street Journal.
Let’s start with the good. I think Chapter 2 is probably the best chapter in the book and the information mid-chapter is some of the best historical look on the topic of previous electronic currency initiatives. I also think their writing style is quite good. Sentences and ideas flow without any sharp disconnects. They also have a number of endnotes in the back for in-depth reading on certain sub-topics.
In this review I look at each chapter and provide some counterpoints to a number of the claims made.
Introduction:
[Note: I manually typed the quotes from the book, all transcription errors are my own and should not reflect on the book itself.]
The book starts by discussing a company now called bitLanders which pays content creators in bitcoin. The authors introduce us to Francesco Rulli who pays his bloggers in bitcoin and tries to forbid them from cashing out in fiat, so that they create a circular flow of income.1 One blogger they focus on is Parisa Ahmadi, a young Afghani woman who lacks access to the payment channels and platforms that we take for granted. It is a nice feel good story that hits all the high notes.
Unfortunately the experience that individuals like Ahmadi, are not fully reflective of what takes place in practice (and this is not the fault of bitLanders). For instance, the authors state on p. 2 that: “Bitcoins are stored in digital bank accounts or “wallets” that can be set up at home by anyone with Internet access. There is no trip to the bank to set up an account, no need for documentation or proof that you’re a man.”
This is untrue in practice. Nearly all venture capital (VC) funded hosted “wallets” and exchanges now require not only Know-Your-Customer (KYC) but in order for any type of fiat conversion, bank accounts. Thus there is a paradox: how can unbanked individuals connect a bank account they do not have to a platform that requires it? This question is never answered in the book yet it represents the single most difficult aspect to the on-boarding experience today.
Starting on page 3, the authors use the term “digital currency” to refer to bitcoins, a practice done throughout the remainder of the book. This contrasts with the term “virtual currency” which they only use 12 times — 11 of which are quotes from regulators. The sole time “virtual currency” is not used by a regulator to describe bitcoins is from David Larimer from Invictus (Bitshares). It is unclear if this was an oversight.
Is there a difference between a “digital currency” and “virtual currency”? Yes. And I have made the same mistake before.
Cryptocurrencies such as bitcoin are not digital currencies. Digital currencies are legal tender, as of this writing, bitcoins are not. This may seem like splitting hairs but the reason regulators use the term “virtual currency” still in 2015 is because no jurisdiction recognizes bitcoins as legal tender. In contrast, there are already dozens of digital currencies — nearly every dollar that is spent on any given day in the US is electronic and digital and has been for over a decade. This issue also runs into the discussion on nemo datdescribed a couple weeks ago.
On page 4 the authors very briefly describe the origination of currency exchange which dates back to the Medici family during the Florentine Renaissance. Yet not once in the book is the term “bearer asset” mentioned. Cryptocurrencies such as bitcoin are virtual bearer instruments and as shown in practice, a mega pain to safely secure. 500 years ago bearer assets were also just as difficult to secure and consequently individuals outsourced the security of it to what we now call banks. And this same behavior has once again occurred as large quantities — perhaps the majority — of bitcoins now are stored in trusted third party depositories such as Coinbase and Xapo.
Why is this important?
Again recall that the term “trusted third party” was used 11 times (in the body, 13 times altogether) in the original Nakamoto whitepaper; whoever created Bitcoin was laser focused on building a mechanism to route around trusted third parties due to the additional “mediation and transaction costs” (section 1) these create. Note: that later on page 29 they briefly mentioned legal tender laws and coins (as it related to the Roman Empire).
On page 8 the authors describe the current world as “tyranny of centralized trust” and on page 10 that “Bitcoin promises to take at least some of that power away from governments and hand it to the people.”
While that may be a popular narrative on social media, not everyone involved with Bitcoin (or the umbrella “blockchain” world) holds the same view. Nor do the authors describe some kind of blue print for how this is done. Recall that in order to obtain bitcoins in the first place a user can do one of three things:
mine bitcoins
purchase bitcoins from some kind of exchange
receive them for payments (e.g., merchant activity)
In practice mining is out of the hands of “the people” due to economies of scale which have trended towards warehouse mining – it is unlikely that embedded ASICs such as from 21 inc, will change that dynamic much, if any. Why? Because for every device added to the network a corresponding amount of difficulty is also added, diluting the revenue to below dust levels. Remember how Tom Sawyer convinced kids to whitewash a fence and they did so eagerly without question? What if he asked you to mine bitcoins for him for free? A trojan botnet? While none of the products have been announced and changes could occur, from the press release that seems to be the underlying assumption of the 21 inc business model.
In terms of the second point, nearly all VC funded exchanges require KYC and bank accounts. The ironic aspect is that “unbanked” and “underbanked” individuals often lack the necessary “valid” credentials that can be used by cheaper automated KYC technology (from Jumio) and thus expensive manual processing is done, costs that must be borne by someone. These same credential-less individuals typically lack a bank account (hence the name “unbanked”).
Lastly with the third point, while there are any number of merchants that now accept bitcoin, in practice very few actually do receive bitcoins on any given day. Several weeks ago I broke down the numbers that BitPay reported and the verdict is payment processing is stagnant for now.
Why is this last point important to what the authors refer to as “the people”?
Ten days after Ripple Labs was fined by FinCEN for not appropriately enforcing AML/KYC regulations, Xapo — a VC funded hosted wallet startup — moved off-shore, uprooting itself from Palo Alto to Switzerland. While the stated reason is “privacy” concerns, it is likely due to regulatory concerns of a different nature.
In his interview with CoinDesk last week, Wences Casares, the CEO and founder of Xapo noted that:
Still, Casares indicated that Xapo’s customers are most often using its accounts primarily for storage and security. He noted that many of its clientele have “never made a bitcoin payment”, meaning its holdings are primarily long-term bets of high net-worth customers and family offices.
“Ninety-six percent of the coins that we hold in custody are in the hands of people who are keeping those coins as an investment,” Casares continued.
96% of the coins held in custody by Xapo are inert. According to a dated presentation, the same phenomenon takes place with Coinbase users too.
Perhaps this behavior will change in the future, though, if not it seems unclear how this particular “to the people” narrative can take place when few large holders of a static money supply are willing to part with their virtual collectibles. But this dovetails into differences of opinion on rebasing money supplies and that is a topic for a different post.
On page 11 the authors describe five stages of psychologically accepting Bitcoin. In stage one they note that:
Stage One: Disdain. Not even denial, but disdain. Here’s this thing, it’s supposed to be money, but it doesn’t have any of the characteristics of money with which we’re familiar.
I think this is unnecessarily biased. While I cannot speak for other “skeptics,” I actually started out very enthusiastic — I even mined for over a year — and never went through this strange five step process. Replace the word “Bitcoin” with any particular exciting technology or philosophy from the past 200 years and the five stage process seems half-baked at best.
On page 13 they state, “Public anxiety over such risks could prompt an excessive response from regulators, strangling the project in its infancy.” Similarly on page 118 regarding the proposed New York BitLicense, “It seemed farm more draconian than expected and prompted an immediate backlash from a suddenly well-organized bitcoin community.”
This is a fairly alarmist statement. It could be argued that due to its anarchic code-as-law coupled with its intended decentralized topology, that it could not be strangled. If a certain amount of block creating processors (miners) was co-opted by organizations like a government, then a fork would likely occur and participants with differing politics would likely diverge. A KYC chain versus an anarchic chain (which is what we see in practice with altchains such as Monero and Dash). Similarly, since there are no real self-regulating organizations (SRO) or efforts to expunge the numerous bad actors in the ecosystem, what did the enthusiasts and authors expect would occur when regulators are faced with complaints?
With that said — and I am likely in a small minority here — I do not think the responses thus far from US regulators (among many others) has been anywhere near “excessive,” but that’s my subjective view. Excessive to me would be explicitly outlawing usage, ownership and mining of cryptocurrencies. Instead what has occurred is numerous fact finding missions, hearings and even appearances by regulators at events.
On page 13 the authors state that “Cryptocurrency’s rapid development is in some ways a quirk of history: launched in the throes of the 2008 financial crisis, bitcoin offered an alternative to a system — the existing financial system — that was blowing itself up and threatening to take a few billion people down with it.”
This is retcon. Satoshi Nakamoto, if he is to be believed, stated that he began coding the project in mid-2007. It is more of a coincidence than anything else that this project was completed around the same time that global stock indices were at their lowest in decades.
Chapter 1:
On page 21 the authors state that, “Bitcoin seeks to address this challenge by offering users a system of trust based not on human being but on the inviolable laws of mathematics.”
While the first part is true, it is a bit cliche to throw in the “maths” reason. There are numerous projects in the financial world alone that are run by programs that use math. In fact, all computer programs and networks use some type of math at their foundation, yet no one claims that the NYSE, pace-makers, traffic intersections or airplanes are run by “math-based logic” (or on page 66, “”inviolable-algorithm-based system”). A more accurate description is that Bitcoin’s monetary system is rule-based, using a static perfectly inelastic supply in contrast to either the dynamic or discretionary world humans live in. Whether this is desirable or not is a different topic.
On page 26 they describe the Chartalist school of thought, the view that money is political, that “looks past the thing of currency and focuses instead on the credit and trust relationships between the individual and society at large that currency embodies” […] “currency is merely the token or symbol around which this complex system is arranged.”
This is in contrast to the ‘metallist’ mindset of some others in the Bitcoin community, such as Wences Casares and Jon Matonis (perhaps there is a distinct third group for “barterists”?).
I thought this section was well-written and balanced (e.g., appropriate citation of David Graeber on page 28; and description of what “seigniorage” is on page 30 and again on page 133).
On page 27 the authors write, “Yet many other cryptocurrency believers, including a cross section of techies and businessmen who see a chance to disrupt the bank centric payments system are de facto charatalists. They describe bitcoin not as a currency but as a payments protocol.”
Perhaps this is true. Yet from the original Nakamoto whitepaper, perhaps he too was a chartalist? Stating in section 1:
Commerce on the Internet has come to rely almost exclusively on financial institutions serving as trusted third parties to process electronic payments. While the system works well enough for most transactions, it still suffers from the inherent weaknesses of the trust based model. Completely non-reversible transactions are not really possible, since financial institutions cannot avoid mediating disputes. The cost of mediation increases transaction costs, limiting the minimum practical transaction size and cutting off the possibility for small casual transactions, and there is a broader cost in the loss of ability to make non-reversible payments for non-reversible services. With the possibility of reversal, the need for trust spreads. Merchants must be wary of their customers, hassling them for more information than they would otherwise need. A certain percentage of fraud is accepted as unavoidable. These costs and payment uncertainties can be avoided in person by using physical currency, but no mechanism exists to make payments over a communications channel without a trusted party.
A payments rail, a currency, perhaps both?
Fun fact: the word “payment” appears 12 times in the whole white paper, just one time less than the word “trust” appears.
On page 29 they cite the Code of Hammurabi. I too think this is a good reference, having made a similar reference to the Code in Chapter 2 of my book last year.
On page 31 they write, “Today, China grapples with competition to its sovereign currency, the yuan, due both to its citizens’ demand for foreign national currencies such as the dollar and to a fledgling but potentially important threat from private, digital currencies such as bitcoin.”
That is a bit of a stretch. While Chinese policy makers do likely sweat over the creative ways residents breach and maneuver around capital controls, it is highly unlikely that bitcoin is even on the radar as a high level “threat.” There is no bitcoin merchant economy in China. The vast majority of activity continues to be related to mining and trading on exchanges, most of which is inflated by internal market making bots (e.g., the top three exchanges each run bots that dramatically inflate the volume via tape painting). And due to how WeChat and other social media apps in China frictionlessly connect residents with their mainland bank accounts, it is unlikely that bitcoin will make inroads in the near future.
On page 36 they write, “By 1973, once every country had taken its currency off the dollar peg, the pact was dead, a radical change.”
In point of fact, there are 23 countries that still peg their currency to the US dollar. Post-1973 saw a number of flexible and managed exchange rate regimes as well as notable events such as the Plaza Accord and Asian Financial Crisis (that impacted the local pegs).
On page 39 they write, “By that score, bitcoin has something to offer: a remarkable capacity to facilitate low-cost, near-instant transfer of value anywhere in the world.”
The point of contention here is the “low-cost” — something that the authors never really discuss the logistics of. They are aware of “seigniorage” and inflationary “block rewards” yet they do not describe the actual costs of maintaining the network which in the long run, the marginal costs equal the marginal value (MC=MV).
This is an issue that I tried to bring up with them at the Google Author Talk last month (I asked them both questions during the Q&A):
The problem for Vigna’s view, (starting around 59m) is that if the value of a bitcoin fell to $30, not only would the network collectively “be cheaper” to maintain, but also to attack.
On paper, the cost to successfully attack the network today by obtaining more than 50% of the hashrate at this $30 price point would be $2,250 per hour (roughly 0.5 x MC) or roughly an order of magnitude less than it does at today’s market price (although in practice it is a lot less due to centralization). Recall that the security of bitcoin was purposefully designed around proportionalism, that in the long run it costs a bitcoin to secure a bitcoin. We will talk about fees later at the end of next chapter.
Chapter 2:
On page 43, in the note at the bottom related to Ray Dillinger’s characterization that bitcoin is “highly inflationary” — Dillinger is correct in the short run. The money supply will increase by 11% alone this year. And while in the long run the network is deflationary (via block reward halving), the fact that the credentials to the bearer assets (bitcoins) are lost and destroyed each year results in a non-negligible amount of deflation.
For instance, in chapter 12 I noted some research: in terms of losing bitcoins, the chart below illustrates what the money supply looks like with an annual loss of 5% (blue), 1% (red) and 0.1% (green) of all mined bitcoins.
Source: Kay Hamacher and Stefan Katzenbeisser
In December 2011, German researchers Kay Hamacher and Stefan Katzenbeisser presented research about the impact of losing the private key to a bitcoin. The chart above shows the asymptote of the money supply (Y-axis) over time (X-axis).
According to Hamacher:
So to get rid of inflation, they designed the protocol that over time, there is this creation of new bitcoins – that this goes up and saturates at some level which is 21 million bitcoins in the end.
But that is rather a naïve picture. Probably you have as bad luck I have, I have had several hard drive crashes in my lifetime, and what happens when your wallet where your bitcoins are stored and your private key vanish? Then your bitcoins are probably still in the system so to speak, so they are somewhat identifiable in all the transactions but they are not accessible so they are of no economic value anymore. You cannot exchange them because you cannot access them. Or think more in the future, someone dies but his family doesn’t know the password – no economic value in those bitcoins anymore. They cannot be used for any exchange anymore. And that is the amount of bitcoins when just a fraction per year vanish for different fractions. So the blue curve is 5% of all the bitcoins per year vanish by whatever means there could be other mechanisms.
It is unclear exactly how many bitcoins can be categorized in such a manner today or what the decay rate is.
On page 45 the authors write, “Some immediately homed in on a criticism of bitcoin that would become common: the energy it would take to harvest “bitbux” would cost more than they were worth, not to mention be environmentally disastrous.”
While I am unaware of anyone who states that it would cost more than what they’re worth, as stated in Appendix B and in Chapter 3 (among many other places), the network was intentionally designed to be expensive, otherwise it would be “cheap to attack.” And those costs scale in proportion to the token value.
As noted a few weeks ago:
For instance, last year O’Dwyer and Malone found that Bitcoin mining consumes roughly the same amount of energy as Ireland does annually. It is likely that their estimate was too high and based on Dave Hudson’s calculations closer to 10% of Ireland’s energy consumption.23 Furthermore, it has likely declined since their study because, as previously explored in Appendix B, this scales in proportion with the value of the token which has declined over the past year.
The previous post looked at bitcoin payments processed by BitPay and found that as an aggregate the above-board activity on the Bitcoin network was likely around $350 million a year. Ireland’s nominal GDP is expected to reach around $252 billion this year. Thus, once Hudson’s estimates are integrated into it, above-board commercial bitcoin activity appears to be about two orders of magnitude less than what Ireland produces for the same amount of energy.
Or in other words, the original responses to Nakamoto six and a half years ago empirically was correct. It is expensive and resource intensive to maintain and it was designed to be so, otherwise it would be easy to attack, censor and modify the history of votes.
Starting on page 56 they describe Mondex, Secure Electronic Transaction (SET), Electronic Monetary System, Citi’s e-cash model and a variety of other digital dollar systems that were developed during the 1990s. Very interesting from a historical perspective and it would be curious to know what more of these developers now think of cryptocurrency systems. My own view, is that the middle half of Chapter 2 is the best part of the book: very well researched and well distilled.
On page 64 they write:
[T]hat Nakamoto launched his project with a reminder that his new currency would require no government, no banks and no financial intermediaries, “no trusted third party.”
In theory this may be true, but in practice, the Bitcoin network does not natively provide any of the services banks do beyond a lock box. There is a difference between money and the cornucopia of financial instruments that now exist and are natively unavailable to Bitcoin users without the use of intermediaries (such as lending).
On page 66 they write, “He knew that the ever-thinning supply of bitcoins would eventually require an alternative carrot to keep miners engaged, so he incorporated a system of modest transaction fees to compensate them for the resources they contributed. These fees would kick in as time went on and as the payoff for miners decreased.”
Above is a chart visualizing fees to miners denominated in USD from January 2009 to May 17, 2015. Perhaps the fees will indeed increase to replace block rewards, or conversely, maybe as VC funding declines in the coming years, the companies that are willing and able to pay fees for each transaction declines.
On page 67, the authors introduce us to Laszlo Hanyecz, a computer programmer in Florida who according to the brief history of Bitcoin lore, purchased two Papa John’s pizzas for 10,000 bitcoins on May 22, 2010 (almost five years ago to the day). He is said to have sold 40,000 bitcoins in this manner and generated all of the bitcoins through mining. He claims to be the first person to do GPU mining, ramping up to “over 800 times” of a CPU; and during this time “he was getting about half of all the bitcoins mined.” According to him, he originally used a Nvidia 9800 GTX+ and later switched to 2 AMD Radeon 5970s. It is unclear how long he mined or when he stopped.
In looking at the index of his server, there are indeed relevant OpenCL software files. If this is true, then he beat ArtForz to GPU mining by at least two months.
On page 77 they write, “Anybody can go on the Web, download the code for no cost, and start running it as a miner.”
While technically this is true, that you can indeed download the Satoshi Bitcoin core client for free, restated in 2015 it is not viable for hoi polloi. In practice you will not generate any bitcoins solo-mining on a desktop machine unless you do pooled mining circa 2011. Today, even pooled mining with the best Xeon processors will be unprofitable. Instead, the only way to generate enough funds to cover both the capital expenditures and operating expenditures is through the purchase of single-use hardware known as an ASIC miner, which is a depreciating capital good. Mining has been beyond the breakeven reach of most non-savvy home users for two years now, not to mention those who live in developing countries with poor electrical infrastructure or uncompetitive energy rates. It is unlikely that embedded mining devices will change that equation due to the fact that every additional device increases the difficultly level whilst the device hashrate remains static.
This ties in with what the authors also wrote on page 77, “You don’t buy bitcoin’s software as you would other products, which means you’re not just a customer. What’s more, there’s no owner of the software — unlike, say, PayPal, which is part of eBay.”
This is a bit misleading. In order to use the Bitcoin network, users must obtain bitcoins somehow. And in practice that usually occurs through trusted third parties such as Coinbase or Xapo which need to identify you via KYC/AML processes. So while in 2009 their quote could have been true, in practice today that is largely untrue for most new participants — someone probably owns the software and your personal data. In fact, a germane quote on reddit last week stated, “Why don’t you try using Bitcoin instead of Coinbase.”
Furthermore, the lack of “ownership” of Bitcoin is dual-edged as there are a number of public goods problems with maintaining development that will be discussed later.
On page 87 they describe Blockchain.info as a “high-profile wallet and analytics firm.” I will come back to “wallets” later. Note: most of these “wallets” are likely throwaway, temp wallets used to move funds to obfuscate provenance through the use of Shared Coin (one of the ways Blockchain.info generates revenue is by operating a mixer).
Overall Chapter 3 was also fairly informative. The one additional quibble I have is that Austin and Beccy Craig (the story at the end) were really only able to travel the globe and live off bitcoins for 101 days because they had a big cushion: they had held a fundraiser that raised $72,995 of additional capital. That is enough money to feed and house a family in a big city for a whole year, let alone go globe trotting for a few months.
Chapter 4:
On page 99 they describe seven different entities that have access to credit card information when you pay for a coffee at Starbucks manually. Yet they do not describe the various entities that end up with the personal information when signing up for services such as Coinbase, ChangeTip, Circle and Xapo or what these depository institutions ultimately do with the data (see also Richard Brown’s description of the payment card system).
When describing cash back rewards that card issuers provide to customers, on page 100 they write, “Still it’s an illusion to think you are not paying for any of this. The costs are folded into various bank charges: card issuance fees, ATM fees, checking fees, and, of course, the interest charged on the millions of customers who don’t pay their balances in full each month.”
Again, to be even handed they should also point out all the fees that Coinbase charges, Bitcoin ATMs charge and so forth. Do any of these companies provide interest-bearing accounts or cash-back rewards?
On page 100 they also stated that, “Add in the cost of fraud, and you can see how this “sand in the cogs” of the global payment system represents a hindrance to growth, efficiency, and progress.”
That seems a bit biased here. And my statement is not defending incumbents: global payment systems are decentralized yet many provide fraud protection and insurance — the very same services that Bitcoin companies are now trying to provide (such as FDIC insurance on fiat deposits) which are also not free.
On page 100 they also write, “We need these middlemen because the world economy still depends on a system in which it is impossible to digitally send money from one person to another without turning to an independent third party to verify the identity of the customer and confirm his or her right to call on the funds in the account.”
Again, in practice, this is now true for Bitcoin too because of how most adoption continues to take place on the edges in trusted third parties such as Coinbase and Circle.
On page 101 they write:
In letting the existing system develop, we’ve allowed Visa and MasterCard to form a de facto duopoly, which gives them and their banking partners power to manipulate the market, says Gil Luria, an analyst covering payment systems at Wedbush Securities. Those card-network firms “not only get to extract very significant fees for themselves but have also created a marketplace in which banks can charge their own excessive fees,” he says.
Why is it wrong to charge fees for a service? What is excessive? I am certainly not defending incumbents or regulatory favoritism but it is unclear how Bitcoin institutions in practice — not theory — actually are any different.
And, the cost per transaction for Bitcoin is actually quite high (see chart below) relative to these other systems due to the fact that Bitcoin also tries to be a seigniorage system, something that neither Visa or MasterCard do.
On page 102 when talking about MasterCard they state, “But as we’ve seen, that cumbersome system, as it is currently designed, is tightly interwoven into the traditional banking system, which always demands a cut.”
The whole page actually is a series of apples-and-oranges comparisons. Aside from settlement, the Bitcoin network does not provide any of the services that they are comparing it to. There is nothing in the current network that provides credit/lending services whereas the existing “cumbersome” system was not intentionally designed to be cumbersome, but rather is intertwined and evolved over decades so that customers can have access to a variety of otherwise siloed services. Again, this is not to say the situation cannot be improved but as it currently exists, Bitcoin does not provide a solution to this “cumbersome” system because it doesn’t provide similar services.
On page 102 and 103 they write about payment processors such as BitPay and Coinbase, “These firms touted a new model to break the paradigm of merchants’ dependence on the bank-centric payment system described above. These services charged monthly fees that amounted to significantly lower transaction costs for merchants than those charged in credit-card transactions and delivered swift, efficient payments online or on-site.”
Except this is not really true. The only reason that both BitPay and Coinbase are charging less than other payment processors is that VC funding is subsidizing it. These companies still have to pay for customer service support and fraud protection because customer behavior in aggregate is the same. And as we have seen with BitPay numbers, it is likely that BitPay’s business model is a losing proposition and unsustainable.
On page 103 they mention some adoption metrics, “The good news is found in the steady expansion in the adoption of digital wallets, the software needed to send and receive bitcoins, with Blockchain and Coinbase, the two biggest providers of those, on track to top 2 million unique users each at the time of the writing.”
This is at least the third time they talk about wallets this way and is important because it is misleading, I will discuss in-depth later.
Continuing they write that:
Blockchain cofounder Peter Smith says that a surprisingly large majority of its accounts — “many more than you would think,” he says cryptically — are characterized as “active.”
This is just untrue and should have been pressed by the authors. Spokesman from Blockchain.info continue to publish highly inflated numbers. For instance in late February 2015, Blockchain.info claimed that “over $270 million in bitcoin transactions occurred via its wallets over the past seven days.”
This is factually untrue. As I mentioned three months ago:
Organ of Corti pointed out that the 7 day average was indeed ~720,000 bitcoins in total output volume (thus making) the weekly volume would be about “5e06 btc for the network.”
Is it valid to multiply the total output volume by USD (or euros or yen)? No.
Why not? Because most of this activity is probably a combination of wallet shuffling, laundering and mixing of coins (e.g., use of SharedSend and burner wallets) or any number of superfluous activity. It was not $270 million of economic trade.
Blockchain.info’s press release seems to be implying that economic trade is taking place, in which all transactions are (probably) transactions to new individuals when in reality it could simply be a lot of “change” address movement. And more to the point, the actual internal volume looks roughly the same as has been the past few months (why issue a press release now?).
Continuing on page 103 they write, “For the first eight months months of 2014, around $50 million per day was passing thought the bitcoin network (some of which was just “change” that bitcoin transactions create as an accounting measure)…”
There is a small typo above (in bold) but the important part is the estimate of volume. There is no public research showing a detailed break down of average volume of economic activity. Based on a working paper I published four months ago, it is fairly clear that this figure is probably in the low millions USD at most. Perhaps this will change in the future.
On page 106 they write about Circle and Xapo:
For now, these firms make no charge to cover costs of insurance and security, betting that enough customers will be drawn to them and pay fees elsewhere — for buying and selling bitcoins, for example — or that their growing popularity will allow them to develop profitable merchant-payment services as well. But over all, these undertaking must add costs back into the bitcoin economy, not to mention a certain dependence on “trusted third parties.” It’s one of many areas of bitcoin development — another is regulation — where some businessmen are advocating a pragmatic approach to bolstering public confidence, one that would necessitate compromises on some of the philosophical principles behind a model of decentralization. Naturally, this doesn’t sit well with bitcoin purists.
While Paul Vigna may not have written this, he did say something very similar at the Google Author Talk event (above in the video).
The problem with this view is that it is a red herring: this has nothing to do with purism or non-purism.
The problem is that Bitcoin’s designer attempted to create a ‘permissionless’ system to accommodate pseudonymous actors. The entire cost structure and threat model are tied to this. If actors are no longer pseudonymous, then there is no need to have this cost structure, or to use proof-of-work at all. In fact, I would argue that if KYC/KYM (Know Your Miner) are required then a user might just as well use a database or permissioned system. And that is okay, there are businesses that will be built around that.
This again has nothing to do with purism and everything to do with the costs of creating a reliable record of truth on a public network involving unknown, untrusted actors. If any of those variables changes — such as adding real-world identity, then from a cost perspective it makes little sense to continue using the modified network due to the intentionally expensive proof-of-work.
On page 107 they talk about bitcoin price volatility discussing the movements of gasoline. The problem with this analogy is that no one is trying to use gasoline as money. In practice consumers prefer purchasing power stability and there is no mechanism within the Bitcoin network that can provide this.
For instance:
The three slides above are from a recent presentation from Robert Sams. Sams previously wrote a short paper on “Seigniorage Shares” — an endogenous way to rebase for purchasing power stability within a cryptocurrency.
Bitcoin’s money supply is perfectly inelastic therefore the only way to reflect changes in demand is through changes in price. And anytime there are future expectations of increased or decreased utility, this is reflected in prices via volatility.
Oddly however, on page 110, they write, “A case can be made that bitcoin’s volatility is unavoidable for the time being.”
Yet they do not provide any evidence — aside from feel good “Honey Badger” statements — for how bitcoin will somehow stabilize. This is something the journalists should have drilled down on, talking to commodity traders or some experts on fuel hedging strategies (which is something airline companies spend a great deal of time and resources with).
Instead they cite Bobby Lee, CEO of BTC China and Gil Luria once again. Lee states that “Once its prices has risen far enough and bitcoin has proven itself as a store of value, then people will start to use it as a currency.”
This is a collective action problem. Because all participants each have different time preferences and horizons — and are decentralized — this type of activity is actually impossible to coordinate, just ask Josh Garza and the $20 Paycoin floor. This also reminds me of one of my favorite comments on reddit: “Bitcoin will stabilize in price then go to the moon.”
The writers then note that, “Gil Luria, the Wedbush analyst, even argues that volatility is a good thing, on the grounds that it draws profit-seeking traders into the marketplace.”
But just because you have profit-seeking traders in the market place does not mean volatility disappears.
Credit: George Samman
For instance, in the chart above we can see how bitcoin trades relative to commodities over the past year:
Yellow is DBC
Red is OIL
Bars are DXY which is a dollar index
And candlesticks are BTCUSD
DBC is a commodities index and the top 10 Holdings (85.39% of Total Assets):
Brent Crude Futr May12 N/A 13.83
Gasoline Rbob Fut Dec12 N/A 13.71
Wti Crude Future Jul12 N/A 13.56
Heating Oil Futr Jun12 N/A 13.20
Gold 100 Oz Futr Dec 12 N/A 7.49
Sugar #11(World) Jul12 N/A 5.50
Corn Future Dec12 N/A 5.01
Lme Copper Future Mar13 N/A 4.55
Soybean Future Nov12 N/A 4.38
Lme Zinc Future Jul12
It bears mentioning that Ferdinando Ametrano has also described this issue in depth most recently in a presentation starting on slide 15.
Continuing on page 111, the writers note that:
Over time, the expansion of these desks, and the development of more and more sophisticated trading tools, delivered so much liquidity that exchange rates became relatively stable. Luria is imagining a similar trajectory for bitcoin. He says bitcoiners should be “embracing volatility,” since it will help “create the payment network infrastructure and monetary base” that bitcoin will need in the future.
There are two problems with Luria’s argument:
1) As noted above, this does not happen with any other commodity and historically nothing with a perfectly inelastic supply
2) Empirically, as described by Wences Casares above, nearly all the bitcoins held at Xapo (and likely other “hosted wallets”) are being held as investments. This reduces liquidity which translates into volatility due to once again the inability to slowly adjust the supply relative to the shifts in demand. This ties into a number of issues discussed in, What is the “real price” of bitcoin? that are worth revisiting.
Also on page 111, they write that “the exchange rate itself doesn’t matter.”
Actually it does. It directly impacts two things:
1) outside perception on the health of Bitcoin and therefore investor interest (just talk to Buttercoin);
2) on a ten-minute basis it impacts the bottom line of miners. If prices decline, so to is the incentive to generate proof-of-work. Bankruptcy, as CoinTerra faces, is a real phenomenon and if prices decline very quickly then the security of the network can also be reduced due to less proof-of-work being generated
Continuing on page 111, “It’s expected that the mirror version of this will in time be set up for consumers to convert their dollars into bitcoins, which will then immediately be sent to the merchant. Eventually, we could all be blind to these bitcoin conversions happening in the middle of all our transactions.”
It’s unfortunate that they do not explain how this will be done without a trusted third party, or why this process is needed. What is the advantage of going from USD-> paying a conversion fee -> BTC -> conversion fee -> back into USD? Why not just spend USD and cut out the Bitcoin middleman?
Lastly on page 111, “Still, someone will have to absorb the exchange-rate risk, if not the payment processors, then the investors with which they trade.”
The problem with this is that its generally not in the mandate or scope of most VC firms to purchase commodities or currencies directly. In fact, they may even need some kind of license to do so depending on the jurisdiction (because it is a foreign exchange play). Yet expecting the payment processors to shoulder the volatility is probably a losing proposition: in the event of a protracted bear market how many bitcoins at BitPay — underwater or not — will need to be liquidated to pay for operating costs?4
On page 112 they write, ‘Bitcoin has features from all of them, but none in entirety. So, while it might seem unsatisfying, our best answer to the question of whether cryptocurrency can challenge the Visa and MasterCard duopoly is, “maybe, maybe not.”
On the face of it, it is a safe answer. But upon deeper inspection we can probably say, maybe not. Why? Because for Bitcoin, once again, there is no native method for issuing credit (which is what Visa/MasterCard do with what are essentially micro-loans).
For example, in order to natively add some kind of lending facility within the Bitcoin network a new “identity” system would need to be built and integrated (to enable credit checks) — yet by including real-world “identity” it would remove the pseudonymity of Bitcoin while simultaneously maintaining the same costly proof-of-work Sybil protection. This is again, an unnecessary cost structure entirely and positions Bitcoin as a jack-of-all-trades-but-master-of-none. Why? Again recall that the cost structure is built around Dynamic Membership Multi-Party Signature (DMMS); if the signing validators are static and known you might as well use a database or permissioned ledgers.
Or as Robert Sams recently explained, if censorship resistance is co-opted then the reason for proof-of-work falls to the wayside:
Now, I am sure that the advocates of putting property titles on the bitcoin blockchain will object at this point. They will say that through meta protocols and multi-key signatures, third party authentication of transaction parties can be built-in, and we can create a registered asset system on top of bitcoin. This is true. But what’s the point of doing it that way? In one fell swoop a setup like that completely nullifies the censorship resistance offered by the bitcoin protocol, which is the whole raison d’etre of proof-of-work in the first place! These designs create a centralised transaction censoring system that imports the enormous costs of a decentralised one built for censorship-resistance, the worst of both worlds.
If you are prepared to use trusted third parties for authentication of the counterparts to a transaction, I can see no compelling reason for not also requiring identity authentication of the transaction validators as well. By doing that, you can ditch the gross inefficiencies of proof-of-work and use a consensus algorithm of the one-node-one-vote variety instead that is not only thousands of times more efficient, but also places a governance structure over the validators that is far more resistant to attackers than proof-of-work can ever be.
On page 113, they write, “the government might be able to take money out of your local bank account, but it couldn’t touch your bitcoin. The Cyprus crisis sparked a stampede of money into bitcoin, which was now seen as a safe haven from the generalized threat of government confiscation everywhere.”
In theory this may be true, but in practice, it is likely that a significant minority — if not majority — of bitcoins are now held in custody at depository institutions such as Xapo, Coinbase and Circle. And these are not off-limits to social engineering. For instance, last week an international joint-task force confiscated $80,000 in bitcoins from dark web operators. The largest known seizure in history were 144,000 bitcoins from Ross Ulbricht (Dread Pirate Roberts) laptop.
Similarly, while it probably is beyond the scope of their book, it would have been interesting to see a survey from Casey and Vigna covering the speculators during this early 2013 time frame. Were the majority of people buying bitcoins during the “Cyprus event” actually worried about confiscation or is this just something that is assumed? Fun fact: the largest transaction to BitPay of all time was on March 25, 2013 during the Cyprus event, amounting to 28,790 bitcoins.
On page 114, the writers for the first time (unless I missed it elsewhere), use the term “virtual currency.” Actually, they quote FinCEN director Jennifer Calvery who says that FincCEN, “recognizes the innovation virtual currencies provide , and the benefits they might offer society.”
Again recall that most fiat currencies today are already digitized in some format — and they are legal tender. In contrast, cryptocurrencies such as bitcoin are not legal tender and are thus more accurately classified as virtual currencies. Perhaps that will change in the future.
On page 118 they note that, “More and more people opened wallets (more than 5 million as of this writing).”
I will get to this later. Note that on p. 123 they say Coupa Cafe has a “digital wallet” a term used throughout the entire book.
Chapter 5:
On page 124, “Bitcoins exist only insofar as they assign value to a bitcoin address, a mini, one-off account with which people and firms send and receive the currency to and from other people’s firms’ addresses.”
This is actually a pretty concise description of best-practices. In reality however, many individuals and organizations (such as exchanges and payment processors) reuse addresses.
Continuing on page 124, “This is an important distinction because it means there’s no actual currency file or document that can be copied or lost.”
This is untrue. In terms of security, the hardest and most expensive part in practice is securing the credentials — the private key that controls the UTXOs. As Stefan Thomas, Jason Whelan (p. 139) and countless other people on /r/sorryforyourloss have discovered, this can be permanently lost. Bearer assets are a pain to secure, hence the re-sprouting of trusted third parties in Bitcoinland.
One small nitpick in the note at the bottom of page 125, “Sometimes the structure of the bitcoin address network is such that the wallet often can’t send the right amount in one go…” — note that this ‘change‘ is intentional (and very inconvenient to the average user).
Another nitpick on page 128, “Each mining node or computer gathers this information and reduces it into an encrypted alphanumeric string of characters known as a hash.”
There is actually no encryption used in Bitcoin, rather there are some cryptographic primitives that are used such as key signing but this is not technically called encryption (the two are different).
On page 130, I thought it was good that they explained where the term nonce was first used — from Lewis Carroll who created the word “frabjous” and described it as a nonce word.
On page 132, in describing proof-of-work, “While that seems like a mammoth task, these are high-powered computers; it’s not nearly as taxing as the nonce-creating game and can be done relatively quickly and easily.”
They are correct in that something as simple as a Pi computer can and is used as the actual transaction validating machine. Yet, at one point in 2009, this bifurcation did not exist: a full-node was both a miner and a hasher. Today that is not the case and we technically have about a dozen or so actual miners on the network, the rest of the machines in “farms” just hash midstates.
On page 132, regarding payment processors accepting zero-confirmation transactions, “They do this because non-confirmations — or the double-spending actions that lead to them — are very rare.”
True they are very rare today in part because there are very few incentives to actually try and double-spend. Perhaps that will change in the future with new incentives to say, double-spend watermarked coins from NASDAQ.
And if payment processors are accepting zero confirmations, why bother using proof-of-work and confirmations at all? Just because a UTXO is broadcast does not mean it will not be double-spent let alone confirmed and packaged into a block. See also replace-by-fee proposal.
Small note on page 132, “the bitcoin protocol won’t let it use those bitcoins in a payment until a total of ninety-nine additional blocks have been built on top its block.”
Sometimes it depends on the client and may be up to 120 blocks altogether, not just 100.
On page 133 they write, “Anyone can become a miner and is free to use whatever computing equipment he or she can come up with to participate.”
This may have been the case in 2009 but not true today. In order to reduce payout variance, the means of production as it were, have gravitated towards large pools of capital in the form of hashing farms. See also: The Gambler’s Guide to Bitcoin Mining.
On page 135 they write, “Some cryptocurrency designers have created nonprofit foundations and charged them with distributing the coins based on certain criteria — to eligible charities, for example. But that requires the involvement of an identifiable and trusted founder to create the foundation.”
The FinCEN enforcement action and fine on Ripple Labs may put a kibosh on this in the future. Why? If organizations that hand out or sell coins are deemed under the purview of the Bank Secrecy Act (BSA) it is clear that most, if not all, crowdfunding or initial coin offerings (ICO) are violating this by not implementing KYC/AML requirements on participants or filing SARs.
On page 136 they write, “Both seigniorage and transaction fees represent a transfer of value to those running the network. Still, in the grand scheme of things, these costs are far lower than anything found in the old system.”
This is untrue and an inaccurate comparison. We know that at the current bitcoin price of $240 it costs roughly $315 million to operate the network for the entire year. If bitcoin-based consumer spending patterns hold up and reflect last years trends seen by BitPay, then roughly $350 million will be spent through payment processors, nearly half of which includes mining payouts.
Or in other words, for roughly every dollar spent on commerce another dollar is spent securing it. This is massive oversecurity relative to the commerce involve. Neither Saudi Arabia or even North Korea spend half of, let alone 100% of their GDP on military expenditures (yet).
Chapter 6:
Small nitpick on page 140, Butterfly Labs is based in Leawood, Kansas not Missouri (Leawood is on the west side of the dividing line).
I think the story of Jason Whelan is illuminating and could help serve as a warning guide to anyone wanting to splurge on mining hardware.
For instance on page 141, “And right from the start Whelan face the mathematical reality that his static hashrate was shrinking as a proportion of the ever-expanding network, whose computing power was by then almost doubling every month.”
Not only was this well-written but it does summarize the problem most new miners have when they plan out their capital expenditures. It is impossible to know what the network difficulty will be in 3 months yet what is known is that even if you are willing to tweak the hardware and risk burning out some part of your board, your hashrate could be diluted by faster more efficient machines. And Whelan found out the hard way that he might as well bought and held onto bitcoins than mine. In fact, Whelan did just about everything the wrong way, including buying hashing contracts with cloud miners from “PBCMining.com” (a non-functioning url).
On page 144 the authors discussed the mining farms managed by now-defunct CoinTerra:
With three in-built high-powered fans running at top speed to cool the rig while its internal chi races through calculations, each unit consumes two kilowatts per hour, enough power to run an ordinary laptop for a month. That makes for 20 kWh per tower, about ten times the electricity used for the same space by the neighboring server of more orthodox e-commerce firms.
As noted in Chapter 2 above, this electricity has to be “wasted.” Bitcoin was designed to be “inefficient” otherwise it would be easy to attack and censor. And in the future, it cannot become more “efficient” — there is no free lunch when it comes to protecting it. It also bears mentioning that CoinTerra was sued by its utility company in part for the $12,000 a day in electrical costs that were not being paid for.
On page 145 they wrote that as of June 2014, “By that time, the network, which was then producing 88,000 trillion hashes every second, had a computing power six thousand times the combined power of the world’s top five hundred supercomputers.”
This is not a fair comparison. ASIC miners can do one sole function, they are unable to do anything aside from reorganize a few fields (such as date and nonce) with the aim of generating a new number below a target number. They cannot run MS Office, Mozilla Firefox and more sobering: they cannot even run a Bitcoin client (the Pi computer run by the pool runs the client).
In contrast, in order to be recognized as a Top 500 computer, only general purpose machines capable of running LINXPACK are considered eligible. The entire comparison is apples-to-oranges.
On page 147 the authors described a study from Guy Lane who used inaccurate energy consumption data from Blockchain.info. And then they noted that, “So although the total consumption is significantly higher than the seven-thousand-home estimate, we’re a long way from bitcoin’s adding an entire country’s worth of power consumption to the world.”
This is not quite true. As noted above in the notes of Chapter 2 above, based on Dave Hudson’s calculations the current Bitcoin network consumes the equivalent of about 10% of Ireland’s annual energy usage yet produces two orders of magnitude less economic activity. If the price of bitcoin increases so to does the amount of energy miners are willing to expend to chase after the seigniorage. See also Appendix B.
On page 148 they write that:
For one, power consumption must be measured against the value of validating transactions in a payment system, a social service that gold mining has never provided. Second, the costs must be weighed against the high energy costs of the alternative, traditional payment system, with its bank branches, armored cars, and security systems. And finally, there’s the overriding incentive for efficiency that the profit motive delivers to innovators, which is why we’ve seen such giant reductions in power consumption for the new mining machines. If power costs make mining unprofitable, it will stop.
First of all, validation is cheap and easy, as noted above it is typically done with something like a Pi computer. Second, they could have looked into how much real commerce is taking place on the chain relative to the costs of securing it so the “social service” argument probably falls flat at this time.
Thirdly, the above “armored cars and security systems” is not an apples-to-apples comparison. Bitcoin does not provide any banking service beyond a lock box, it does not provide for home mortgages, small business loans or mezzanine financing. The costs for maintaining those services in the traditional world do not equate to MC=MV as described at the end of Chapter 1 notes.
Fourthly, they ignore the Red Queen effect. If a new hashing machine is invented and consumes half as much energy as before then the farm owner will just double the amount of machines and the net effect is the same as before. This happens in practice, not just in theory, hence the reason why electrical consumption has gone up in aggregate and not down.
On page 149 they write, “But the genius of the consensus-building in the bitcoin system means such forks shouldn’t be allowed to go on for long. That’s because the mining community works on the assumption that the longest chain is the one that constitutes consensus.”
That’s not quite accurate. Each miner has different incentives. And, as shown empirically with other altcoins, forks can reoccur frequently without incentives that align. For now, some incentives apparently do. But that does not mean that in the future, if say watermarked coins become more common place, that there will not be more frequent forks as certain miners attempt to double-spend or censor such metacoins.
Ironically on page 151 the authors describe the fork situation of March 2013 and describe the fix in which a few core developers convince Mark Karpeles (who ran Mt. Gox) to unilaterally adopt one specific fork. This is not trustless.
On page 151 they write, “That’s come to be known as a 51 percent attack. Nakamoto’s original paper stated that the bitcoin mining network could be guaranteed to treat everyone’s transactions fairly and honestly so long as no single miner or mining group owned more than 50 percent of the hashing power.”
And continuing on page 153, “So, the open-source development community is now looking for added protections against selfish mining and 51 percent attacks.”
While they do a good job explaining the issue, they don’t really discuss how it is resolved. And it cannot be without gatekeepers or trusted hardware. For instance, three weeks ago there was a good reddit thread discussing one of the problems of Andreas Antonopolous’ slippery slope view that you could just kick the attackers off the network. First, there is no quick method for doing so; second, by blacklisting them you introduce a new problem of having the ability to censor miners which would be self-defeating for such a network as it introduces a form of trust into an expensive cost structure of trust minimization.
On page 152 they cite a Coinometrics number, “in the summer of 2014 the cost of the mining equipment and electricity required for a 51 percent attack stood at $913 million.”
This is a measurement of maximum costs based on hashrate brute force — a Maginot Line attack. In practice it is cheaper to do via out of band attacks (e.g., rubber hose cryptanalysis). There are many other, cheaper ways, to attack the P2P network itself (such as Eclipse attacks).
On page 154 when discussing wealth disparity in Bitcoin they write, “First, some perspective. As a wealth-gap measure, this is a lousy one. For one, addresses are not wallets. The total number of wallets cannot be known, but they are by definition considerably fewer than the address tally, even though many people hold more than one.”
Finally. So the past several chapters I have mentioned I will discuss wallets at some length. Again, the authors for some reason uncritically cite the “wallet numbers” from Blockchain.info, Coinbase and others as actual digital wallets. Yet here they explain that these metrics are bupkis. And they are. It costs nothing to generate a wallet and there are scripts you can run to auto generate them. In fact, Zipzap and many others used to give every new user a Blockchain.info wallet por gratis.
And this is problematic because press releases from Xapo and Blockchain.info continually cite a number that is wholly inaccurate and distorting. For instance Wences Casares said in a presentation a couple months ago that there were 7 million users. Where did that number come from? Are these on-chain privkey holders? Why are journalists not questioning these claims? See also: A brief history of Bitcoin “wallet” growth.
On page 154 they write, “These elites have an outsize impact on the bitcoin economy. They have a great interest in seeing the currency succeed and are both willing and able to make payments that others might not, simply to encourage adoption.”
Perhaps this is true, but until there is a systematic study of the conspicuous consumption that takes place, it could also be the case that some of these same individuals just have an interest in seeing the price of bitcoin rise and not necessarily be widely adopted. The two are not mutually exclusive.
On page 155 and 156 they describe the bitsat project, to launch a full node into space which is aimed “at making the mining network less concentrated.”
Unfortunately these types of full nodes are not block makers. Thus they do not actually make the network less concentrated, but only add more propagating nodes. The two are not the same.
On page 156 they describe some of the altcoin projects, “They claim to take the good aspects of bitcoin’s decentralized structure but to get ride of its negative elements, such as the hashing-power arms race, the excessive use of electricity, and the concentration of industrialized mining power.”
I am well aware of the dozens various coin projects out there due to work with a digital asset exchange over the past year. Yet fundamentally all of the proof-of-work based coins end up along the same trend line, if they become popular and reach a certain level of “market cap” (an inaccurate term) specialized chips are designed to hash it. And the term “excessive” energy related to proof-of-work is a bit of a non-starter. Ignoring proof-of-stake systems, if it becomes less energy intensive to hash via POW, then it also becomes cheaper to attack. Either miners will add more equipment or the price has dropped for the asset and it is therefore cheaper to attack.
On page 157 regarding Litecoin they write that, “Miners still have an incentive to chase coin rewards, but the arms race and the electricity usage aren’t as intense.”
That’s untrue. Scrypt (which is used instead of Hashcash) is just as energy intensive. Miners will deploy and utilize energy in the same patterns, directly in proportion to the token price. The difference is memory usage (Litecoin was designed to be more memory intensive) but that is unrelated to electrical consumption.
Continuing, “Litecoin’s main weakness is the corollary of its strength: because it’s cheaper to mine litecoins and because scrypt-based rigs can be used to mine other scrypt-based altcoins such as dogecoin, miners are less heavily invested in permanently working its blockchain.”
This is untrue. Again, Litecoin miners will in general only mine up to the point where it costs a litecoin to make a litecoin. Obviously there are exceptions to it, but in percentage terms the energy usage is the same.
Continuing, “Some also worry that scrypt-based mining is more insecure, with a less rigorous proof of work, in theory allowing false transactions to get through with incorrect confirmations.”
This is not true. The two difference in security are the difficulty rating and block intervals. The higher the difficulty rating, the more energy is being used to bury blocks and in theory, the more secure the blocks are from reversal. The question is then, is 2.5 minutes of proof-of-work as secure as burying blocks every 10 minutes? Jonathan Levin, among others, has written about this before.
Small nitpick on page 157, fairly certain that nextcoin should be referred to as NXT.
On page 158 they write:
If bitcoin is to scale up, it must be upgraded sot hat nodes, currently limited to one megabyte of data per ten-minute block, are free to process a much larger set of information. That’s not technically difficult; but it would require miners to hash much larger blocks of transactions without big improvements in their compensation. Developers are currently exploring a transaction-fee model that would provide fairer compensation for miners if the amount of data becomes excessive.
This is not quite right. There is a difference between block makers (pools) and hashers (mining farms). The costs for larger blocks would impact block makers not hashers, as they would need to upgrade their network facilities and local hard drive. This may seem trivial and unimportant, but Jonathan Levin’s research, as well as others suggest that block sizes does in fact impact orphan rates.5 It also impacts the amount of decentralization within the network as larger blocks become more expensive to propagate you will likely have fewer nodes. This has been the topic of immense debate over the past several weeks on social media.
Also on page 158 they write:
The laboratory used by cryptocurrency developers, by contrast, is potentially as big as the world itself, the breadth of humanity that their projects seek to encompass. No company rulebook or top-down set of managerial instructions keeps people’s choice in line with a common corporate objective. Guiding people to optimal behavior in cryptocurrencies is entirely up to how the software is designed to affect human thinking, how effectively its incentive systems encourage that desired behavior
This is wishful thinking and probably unrealistic considering that Bitcoin development permanently suffers from the tragedy of the commons. There is no CEO which is both good and bad.
For example, directions for where development goes is largely based on two things:
how many upvotes your comment has on reddit (or how many retweets it gets on Twitter)
your status is largely a function of how many times Satoshi Nakamoto responded to you in email or on the Bitcointalk forum creating a permanent clique of “early adopters” whose opinions are the only valid ones (see False narratives)
This is no way to build a financial product. Yet this type of lobbying is effectively how the community believes it will usurp well-capitalized private entities in the payments space.
I’ve said it before and I will say it again. There is a reason why Developers should not be in control of product development priorities, naming, feature lists, or planning for a product. That is the job of the sales, marketing, and product development teams who actually interface with the customer. They are the ones who do the research and know what’s needed for a product. They are the ones who are supposed to decide what things are called, what features come next, and how quickly shit gets out the door.
Bitcoin has none of that. You’ve got a Financial product, being created for a financial market, by a bunch of developers with no experience in finance, and (more importantly) absolutely no way for the market to have any input or control over what gets done, or what it’s called. That is crazy to me.
Luke is a perfect example of why you don’t give developers control over anything other than the structure of the code.
They are not supposed to be making product development decisions. They are not supposed to be naming anything. And they definitely are not supposed to be deciding “what comes next” or how quickly things get done. In any other company, this process would be considered suicide.
Yet for some reason this is considered to be a feature rather than a bug (e.g., “what is your Web of Trust (WoT) number?”).
On page 159 they write, “The vital thing to remember is that the collective brainpower applied to all the challenges facing bitcoin and other cryptocurrencies is enormous. Under the open-source, decentralized model, these technologies are not hindered by the same constraints that bureaucracies and stodgy corporations face.”
So, what is the Terms of Service for Bitcoin? What is the customer support line? There isn’t one. Caveat emptor is pretty much the marketing slogan and that is perfectly fine for some participants yet expecting global adoption without a “stodgy” “bureaucracy” that helps coordinate customer service seems a bit of a stretch.
And just because there is some avid interest from a number of skilled programmers around the world does not mean public goods problems surrounding development will be resolved. For reference: there were over 5000 co-authors on a recent physics paper but that doesn’t mean their collective brain power will quickly resolve all the open questions and unsolved problems in physics.
Chapter 7:
Small nitpick on page 160, “Bitcoin was born out of a crypto-anarchist vision of a decentralized government-free society, a sort of encrypted, networked utopia.”
On page 162 they write, “Before we get too carried away, understand this is still early days.”
That may be the case. Perhaps decentralized cryptocurrencies like Bitcoin are not actually the internet in the early 1990s like many investors claim but rather the internet in the 1980s when there were almost no real use-cases and it is difficult to use. Or 1970s. The problem is no one can actually know the answer ahead of time.
And when you try to get put some milestone down on the ground, the most ardent of enthusiasts move the goal posts — no comparisons with existing tech companies are allowed unless it is to the benefit of Bitcoin somehow. I saw this a lot last summer when I discussed the traction that M-Pesa and Venmo had.
A more recent example is “rebittance” (a portmanteau of “bitcoin” and “remittance”). A couple weeks ago Yakov Kofner, founder of Save On Send, published a really good piece comparing money transmitter operators with bitcoin-related companies noting that there currently is not much meat to the hype. The reaction on reddit was unsurprisingly fist-shaking Bitcoin rules, everyone else drools.
With Yakov Kofner (CEO Save On Send)
When I was in NYC last week I had a chance to meet with him twice. It turns out that he is actually quite interested in Bitcoin and even scoped out a project with a VC-funded Bitcoin company last year for a consumer remittances product.
But they decided not to build and release it for a few reasons: 1) in practice, many consumers are not sensitive enough to a few percentage savings because of brand trust/loyalty/habit; 2) lacking smartphones and reliable internet infrastructure, the cash-in, cash-out aspect is still the main friction facing most remittance corridors in developing countries, bitcoin does not solve that; 3) it boils down to an execution race and it will be hard to compete against incumbents let alone well-funded MTO startups (like TransferWise).
That’s not to say these rebittance products are not good and will not find success in niches.
For instance, I also spoke with Marwan Forzley (below), CEO of Align Commerce last week. Based on our conversation, in terms of volume his B2B product appears to have more traction than BitPay and it’s less than a year old. What is one of the reasons why? Because the cryptocurrency aspect is fully abstracted away from customers.
Raja Ramachandran (R3CEV), Dan O’Prey (Hyperledger), Daniel Feichtinger (Hyperledger), Marwan Forzley (Align Commerce)
In addition, both BitX and Coins.ph — based on my conversations in Singapore two weeks ago with their teams — seem to be gaining traction in a couple corridors in part because they are focusing on solving actual problems (automating the cash-in/cash-out process) and abstracting away the tech so that the average user is oblivious of what is going on behind the scenes.
Markus Gnirck (StartupBootCamp), Antony Lewis (itBit) and Ron Hose (Coins.ph) at the DBS Hackathon event
On page 162 and 163 the authors write about the Bay Area including 20Mission and Digital Tangible. There is a joke in this space that every year in cryptoland is accelerated like dog years. While 20Mission, the communal housing venue, still exists, the co-working space shut down late last year. Similarly, Digital Tangible has rebranded as Serica and broadened from just precious metals and into securities. In addition, Dan Held (page 164) left Blockchain.info and is now at ChangeTip.
On page 164 they write, “But people attending would go on to become big names in the bitcoin world: Among them were Brian Armstrong and Fred Ehrsam, the founders of Coinbase, which is second only to Blockchain as a leader in digital-wallet services and one of the biggest processors of bitcoin payments for businesses.”
10 pages before this they said how useless digital wallet metrics are. It would have been nice to press both Armstrong and Ehrsam to find out what their actual KYC’ed active users to see if the numbers are any different than the dated presentation.
On page 165 they write:
“It’s a very specific type of brain that’s obsessed with bitcoin,” says Adam Draper, the fourth-generation venture capitalist…”
I hear this often but what does that mean? Is investing genetic? If so, surely there are more studies on it?
For instance, later on page 176 they write, “The youngest Draper, who tells visitors to his personal web site that his life’s ambition is to assist int he creation of an iron-man suit, has clearly inherited his family’s entrepreneurial drive.”
Perhaps Adam Draper is indeed both a bonafide investor and entrepreneur, but it does not seem to be the case that either can be or is necessarily inheritable.
On page 167, “The only option was to “turn into a fractional-reserve bank,” he said jokingly, referring tot he bank model that allows banks to lend out deposits while holding a fraction of those funds in reserve. “They call it a Ponzi scheme unless you have a banking license.”
Why is this statement not challenged? I am not defending rehypothecation or the current banking model, but fractional reserve banking as it is employed in the US is not a Ponzi scheme.
Also on page 167 they write, “First, he had trouble with his payments processor, Dwolla which he later sued for $2 million over what Tradehill claimed were undue chargebacks.”
A snarky thing would be to say he should have used bitcoin, no chargebacks. But the issue here, one that the authors should have pressed is that Tradehill, like Coinbase and Xapo, are effectively behaving like banks. It’s unclear why this irony is not discussed once in the book.
For instance, several pages later on page 170 they once again talk about wallets:
The word wallet is thrown around a lot in bitcoin circles, and it’s an evocative description, but it’s just a user application that allows you to send and receive bitcoins over the bitcoin network. You can download software to create your own wallet — if you really want to be your own bank — but most people go through a wallet provider such as Coinbase or Blockchain, which melded them into user-friendly Web sites and smart phone apps.
I am not sure if it is intentional but the authors clearly understand that holding a private key is the equivalent of being a bank. But rather than say Coinbase is a bank (because they too control private keys), they call them a wallet provider. I have no inside track into how regulators view this but the euphemism of “wallet provider” is thin gruel. On the other hand Blockchain.info does not hold custody of keys but instead provide a user interface — at no point do they touch a privkey (though that does not mean they could not via a man-in-the-middle-attack or scripting errors like the one last December).
On page 171 they talk about Nathan Lands:
The thirty-year-old high school dropout is the cofounder of QuickCoin, the maker of a wallet that’s aimed directly at finding the fastest easiest route to mass adoption. The idea, which he dreamed up with fellow bitcoiner Marshall Hayner one night over a dinner at Ramen Underground, is to give nontechnical bitcoin newcomers access to an easy-to-use mobile wallet viat familiar tools of social media.
Unfortunately this is not how it happened. More in a moment.
Continuing the authors write, “His successes allowed Lands to raise $10 million for one company, Gamestreamer.”
Actually it was Gamify he raised money for (part of the confusion may be due to how it is phrased on his LinkedIn profile).
Next the authors state: “He started buying coins online, where her ran into his eventual business partner, Hayner (with whom he later had a falling-out, and whose stake he bought).”
One of the biggest problems I had with this book is that the authors take claims at face value. To be fair, I probably did a bit too much myself with GCON.
On this point, I checked with Marshall Hayner who noted that this narrative was untrue: “Nathan never bought my stake, nor was I notified of any such exchange.”
While the co-founder dispute deserves its own article or two, the rough timeline is that in late 2013 Hayner created QuickCoin and then several months later on brought Lands on to be the CEO. After a soft launch in May 2014 (which my wife and I attended, see below) Lands maneuvered and got the other employees to first reduce the equity that Hayner had and then fired him so they could open up the cap table to other investors.
QuickCoin launch party with Marshall Hayner, Jackson Palmer (Dogecoin), and my wife
With Hayner out, QuickCoin quickly faded due to the fact that the team had no ties to the local cryptocurrency community. Hayner went on to join Stellar and is now the co-founder of Trees. QuickCoin folded by the end of the year and Lands started Blockai.
On page 174 they discuss VCs involved in funding Bitcoin-related startups:
Jerry Yang, who created the first successful search engine, Yahoo, put money from his AME Ventures into a $30 million funding round for processor BitPay and into one of two $20 million rounds raised by depository and wallet provider Xapo, which offers insurance to depositors and call itself a “bitcoin vault.”
While they likely couldn’t have put it in this section, I think it would have been good for the authors to discuss the debate surrounding what hosted wallets actually are because regulators and courts may not agree with the marketing-speak of these startups.6
On page 177 they write about Boost VC which is run by Adam Draper, “He’d moved first and emerged as the leader in the filed, which meant his start-ups could draw in money from the bigger guys when it came time for larger funding rounds.”
It would be interesting to see the clusters of what VCs do and do not co-invest with others. Perhaps in a few years we can look back and see that indeed, Boost VC did lead the pack. However while there are numerous incubated startups that went on to close seed rounds (Blockcypher, Align Commerce, Hedgy, Bitpagos) as of this writing there is only one incubated company in Boost that has closed a Series A round and that is Mirror (Coinbase, which did receive funding from Adam Draper, was not in Boost). Maybe this is not a good measure for success, perhaps this will change in the future and maybe more have done so privately.
On page 179-180 the discussion as to what Plug and Play Tech Center does and its history was well written.
On page 184 they write:
With every facet of our economy now dependent on the kinds of software developed and funded in the Bay Area, and with the Valley’s well-heeled communities becoming a vital fishing ground for political donations and patronage, we’re witnessing a migration of the political and economic power base away from Wall Street to this region.
I have heard variations of this for the past couple of years. Most recently I heard a VC claim that Andreessen Horrowitz (a16z) was the White House of the West Coast and that bankers in New York do not understand this tech. Perhaps it is and perhaps bankers do not understand what a blockchain is.
Either way we should be able to see the consequences to this empirically at some point. Where is the evidence presented by the authors?
Fast forwarding several chapters, on page 287 they write, “Visa, MasterCard, and Western Union combined – to name just three players whose businesses could be significantly reformed — had twenty-seven thousand employees in 2013.”
Perhaps these figures will dramatically change soon, however, the above image are the market caps over the past 5 years of four incumbents: JP Morgan (the largest bank in the US), MasterCard and Visa (the largest card payment providers) and Western Union, the world’s largest money transfer operator.
Will their labor force dramatically change because of cryptocurrencies? That is an open question. Although it is unclear why the labor force at these companies would necessarily shrink because of the existence of Bitcoin rather than expand in the event that these companies integrated parts of the tech (e.g., a distributed ledger) thereby reducing costs and increasing new types of services.
On page 185 they write, “Those unimaginable possibilities exist with bitcoin, Dixon says, because “extensible software platforms that allow anyone to build on top of them are incredibly powerful and have all these unexpected uses. The stuff about fixing the existing payment system is interesting, but what’s superexciting is that you have this new platform on which you can move money and property and potentially build new areas of businesses.”
Maybe this is true. It is unclear from these statements as to what Chris Dixon views as broken about the current payment system. Perhaps it is “broken” in that not everyone on the planet has access to secure, near-instant methods of global value transer. However it is worth noting that cryptocurrencies are not the only competitors in the payments space.
This chapter discussed “The Unbanked” and how Bitcoin supposedly can be a solution to banking these individuals.
On page 188 they discuss a startup called 37coins:
“It uses people in the region lucky enough to afford Android smartphones as “gateways” to transmit the messages. In return, these gateways receive a small fee, which provides the corollary benefit of giving locals the opportunity to create a little business for themselves moving traffic.”
This is a pretty neat idea, both HelloBit and Abra are doing something a little similar. The question however is, why bitcoin? Why do users need to go out of fiat, into bitcoin and back out to fiat? If the end goal is to provide users in developing countries a method to transmit value, why is this extra friction part of the game plan?
Last month I heard of another supposed cryptocurrency “killer app”: smart metering prepaid via bitcoin and how it is supposed to be amazing for the unbanked. The unbanked, they are going to pay for smart metering with money they don’t have for cars they don’t own. There seems to be a disconnect when it comes to financial inclusion as it is sometimes superficially treated in the cryptocurrency world. Many Bitleaders and enthusiasts seem to want to pat themselves on the back for a job that has not been accomplished. How can the cryptocurrency community bring the potential back down to real world situations without overinflating, overhyping or over promising?
If Mercedes or Yamaha held a press conference to talk about the “under-cared” or “under-motorcycled” they would likely face a backlash on social media. Bitcoin the bearer instrument, is treated like a luxury good and expecting under-electrified, under-plumbed, under-interneted people living in subsistence to buy and use it today without the ability to secure the privkey without a trusted third party, seems far fetched (“the under bitcoined!”). Is there a blue print to help all individuals globally move up Maslow’s Hierarchy of Financial Wants & Needs?
On page 189 they write:
“But in the developing world, where the costs of an ineffectual financial system and the burdens of transferring funds are all too clear, cryptocurrencies have a much more compelling pitch to make.”
The problem is actually at the institutional level, institutions which do not disappear because of the Bitcoin blockchain. Nor does Bitcoin solve the identity issue: users still need real-world identity for credit ratings so they can take out loans and obtain investment to build companies.
For instance on page 190 the authors mention the costs of transferring funds to and from Argentina, the Philippines, India and Pakistan. One of the reasons for the high costs is due to institutional problems which is not solved by Bitcoin.
In fact, the authors write, “Banks won’t service these people for various reasons. It’s partly because the poor don’t offer as fat profits as the rich, and it’s partly because they live in places where there isn’t the infrastructure and security needed for banks to build physical branches. But mostly it’s because of weak legal institutions and underdeveloped titling laws.”
This is true, but Bitcoin does not solve this. If local courts or governments do not recognize the land titles that are hashed on the blockchain it does the local residents no good to use Proof of Existence or BlockSign.
They do not clarify this problem through the rest of the chapter. In fact the opposite takes place, as they double down on the reddit narrative:
“Bitcoin, as we know, doesn’t care who you are. It doesn’t care how much money you are willing to save, send, or spend. You, your identity and your credit history are irrelevant. […] If you are living on $50 a week, the $5 you will save will matter a great deal.”
This helps nobody. The people labeled as “unbanked” want to have access to capital markets and need a credit history so they can borrow money to create a companies and build homes. Bitcoin as it currently exists, does not solve those problems.
Furthermore, how do these people get bitcoins in the first place? That challenge is not discussed in the chapter. Nor is the volatility issue, one swift movement that can wipe out the savings of someone living in subsistence, broached. Again, what part of the network does lending on-chain?
On page 192 they write, “They lack access to banks not because they are uneducated, but because of the persistent structural and systemic obstacles confronting people of limited means there: undeveloped systems of documentation and property titling, excessive bureaucracy, cultural snobbery, and corruption. The banking system makes demands that poor people simply can’t meet.”
This is very true. The Singapore conference I attended two weeks ago is just one of many conferences held throughout this year that talked about financial inclusion. Yet Bitcoin does not solve any of these problems. You do not need a proof-of-work blockchain to solve these issues. Perhaps new database or permissioned ledgers can help, but these are social engineering challenges — wet code — that technology qua technology does not necessarily resolve.
Also on page 192 they write, “People who have suffered waves of financial crises are used to volatility. People who have spent years trusting expensive middlemen and flipping back and forth between dollars and their home currency are probably more likely to understand bitcoin’s advantages and weather its flaws.”
This is probably wishful thinking too. Residents of Argentina and Ukraine may be used to volatility but it does not mean it is something they want to adopt. Why would they want to trade one volatile asset for another? Perhaps they will but the authors do not provide any data for actual usage or adoption in these countries, or explain why the residents prefer bitcoin instead of something more global and stable such as the US dollar.
On page 193 they write that, “In many cases, these countries virtually skip over legacy technology, going straight to high-tech fiber-optic cables.”
While there is indeed a number of legacy systems used on any given day in the US, it is not like Bitcoin itself is shiny new tech. While the libraries and BIPS may be new, the components within the consensus critical tech almost all dates back to the 20th century.
For instance, according to Gwern Branwen, the key moving parts that Bitcoin uses:
That’s not to say that Bitcoin is bad, old or that other systems are not old or bad but rather the term “legacy” is pretty relative and undefined in that passage.
On page 194 they discuss China and bitcoin, “With bitcoin, the theory goes, people could bypass that unjust banking system and get their money out of China at low cost.”
This is bad legal advice, just look at the problems this caused Coinbase with regulators a couple months ago. And while you could probably do it low-scale, it then competes with laundering via art sales and Macau junkets and thus expecting this to be the killer use-case for adoption in China is fairly naive.
On page 195 they write “Bitcoin in China is purely a speculator’s game, a way to gamble on its price, either through one of a number of mainland exchanges or by mining it. It is popular — Chinese trading volumes outstrip those seen anywhere else in the world.”
Two months ago Goldman Sachs published a widely circulated report which stated that “80% of bitcoin volume is now exchanged into and out of Chinese yuan.”
This is untrue though as it is solely based on self-reporting metrics from all of the exchanges (via Bitcoinity). As mentioned in chapter 1 notes above, the top 3 exchanges in China run market-making bots which dramatically inflate trading volume by 50-70% each day. While they likely still process a number of legitimate trades, it cannot be said that 80% of bitcoin volume is traded into and out of RMB. The authors of both the report and the book should have investigated this in more depth.
On page 196 they write, “This service, as well as e-marketplace Alibaba’s competing Alipay offering, is helping turn China into the world’s most dynamic e-commerce economy. How is bitcoin to compete with that?”
Next on page 196 they write, “But what about the potential to get around the controls the government puts on cross-border fund transfers?”
By-passing capital controls was discussed two pages before and will likely cause problems for any VC or PE-backed firm in China, the US and other jurisdictions. I am not defending the current policies just being practical: if you are reading their book and plan to do this type of business, be sure to talk to a legal professional first.
On page 197 they discuss a scenario for bitcoin adoption in China: bank crisis. The problem with this is that in the history of banking crisis’ thus far, savers typically flock to other assets, such as US dollars or euros. The authors do not explain why this would change. Now obviously it could or in the words of the authors, the Chinese “may warm to bitcoin.” But this is just idle speculation — where are the surveys or research that clarify this position? Why is it that many killer use-cases for bitcoin typically assumes an economy or two crashes first?
On page 198 they write, “The West Indies even band together to form one international cricket team when they play England, Australia, and other members of the Commonwealth. What they don’t have, however, is a common currency that could improve interisland commerce.”
More idle speculation. Bitcoin will probably not be used as a common currency because policy makers typically want to have discretion via elastic money supplies. In addition, one of the problems that a “common currency” could have is what has plagued the eurozone: differing financial conditions in each country motivate policy makers in each country to lobby for specific monetary agendas (e.g., tightening, loosening). Bitcoin in its current form, cannot be rebased to reflect the changes that policy makers could like to make. While many Bitcoin enthusiasts like this, unless the authors of the book have evidence to the contrary, it is unlikely that the policy makers in the West Indies find this desirable.
On page 199 they write, “A Caribbean dollar remains a pipe dream.”
It is unclear why having a unified global or regional currency is a goal for the authors? Furthermore, there is continued regional integration to remove some frictions, for instance, the ECACH (Eastern Caribbean Automated Clearing House) has been launched and is now live in all 8 member countries.
On page 203 they spoke to Patrick Byrne from Overstock.com about ways Bitcoin supposedly saves merchants money. They note that, “A few weeks later, Byrne announced he would not only be paying bitcoin-accepting vendors one week early, but that he’d also pay his employee bonuses in bitcoin.”
Except so far this whole effort has been a flop for Overstock.com. According to Overstock, in 2014 approximately 11,100 customers paid with bitcoin at both its US and international websites. Altogether this represented roughly $3 million in sales which when coupled with low margin products (based on the top 10 list of things sold on Overstock) is an initiative that Stone Street Advisors labeled “distracting” (see slides 21, 32, 33, 37, 58).
This continues onto page 204, “As a group of businesses in one region begins adopting the currency, it will become more appealing to others with whom they do business. Once such a network of intertwined businesses builds up, no one wants to be excluded from it. Or so the theory goes.” Byrne then goes on to describe network effects and fax machines, suggesting that this is what will happen with bitcoin.
In other words, a circular flow of income. The challenge however goes back to the fact that the time preferences of individuals is different and has not lended towards the theory of spending. As a whole, very few people spend and suppliers typically cash out to reduce their exposure to volatility. Perhaps this will change, but there is no evidence that it has so far.
On page 206 they talk to Rulli from Film Annex (who was introduced in the introduction):
With bitcoin, “you can clearly break down the value of every single stroke on the keyboard, he says.
And you cannot with fiat?
Continuing the authors talk about Rulli:
He wanted the exchange to be solely in bitcoin for other digital currencies, with no option to buy rupees or dollars: “The belief I have is that if you lock these people into this new economy, they will make that new economy as efficient as possible.”
What about volatility? Why are marginalized people being expected to hold onto an asset that fluctuates in value by more than 10% each month? Rulli has a desire to turn the Film Annex Web site “into its own self enclosed bitcoin economy.” There is a term for this: autarky or closed economy.
Continuing Rulli states, ‘If you start giving people opportunities to get out of the economy, they will just cut it down, whereas if the only way for you to enrich yourself is by trading bitcoins for litecoins and dogecoins, you are going to become an expert in that… you will become the best trader in Pakistan.”
This seems to be a questionable strategy: are these users on bitLanders supposed to be artisans or day traders? Why are marginalized people expected to compete with world-class professional traders?
On page 210 the second time the term “virtual currency” is mentioned, this time by the Argentinian central bank.
On page 213 they write, “With bitcoin, it is possible to sen money via a mobile phone, directly between two parties, to bypass that entire cumbersome, expensive system for international transfers.”
What an updated version to the book should include is an actual study for the roundtrip costs of doing international payments and remittances. This is not to defend the incumbents, but rebittance companies and enthusiasts on reddit grossly overstate the savings in many corridors.7 And it still does not do away with the required cash-in / cash-out steps that people in these countries still want and need.
On page 216 they write about the research of Hernando de Soto who discusses the impediments of economic development including the need to document ownership of property. Unfortunately Bitcoin does not currently solve this because ultimately the recognition of a hash of a document on a blockchain comes down to recognition from the same institutions that some of these developing countries lack.
Continuing on page 217 they write that, “Well, the blockchain, if taken to the extent that a new wave of bitcoin innovators believe possible, could replace many of those institutions with a decentralized authority for proving people’s legal obligations and status. In doing so, it could dramatically widen the net of inclusion.”
How? How is this done? Without recognized title transfers, hashing documents onto a chain does not help these people. This is an institutional issue, not one of technology. Human corruption does not disappear because of the existence of Bitcoin.
Chapter 9:
On page 219 they write, “Like everything else in the cryptocurrency world, the goal is to decentralize, to take power out of the hands of the middleman.”
By recreating the same middleman, depository institutions, yet without robust financial controls.
On page 220 and 221 they mention “basic encryption process” and “standard encryption models” — I believe that it is more accurately stated as cryptographic processes and cryptographic models.
On page 222 they define “Bitcoin 2.0” / “Blockchain 2.0” and put SatoshiDice into that bucket. Ignoring the labels for a moment, I don’t think SatoshiDice or any of the other on-chain casino games are “2.0” — they use the network without coloring any asset.
One quibble with Mike Hearn’s explanation on page 223 is when he says, “But bitcoin has no intermediaries.” This is only true if you control and secure the privkey by yourself. In practice, many “users” do not.
On page 225 they write, “Yet they are run by Wall Street banks and are written and litigated by high-powered lawyers pulling down six- or seven-figure retainers.”
Is it a crime to be able to charge what the market bears for a service? Perhaps some of this technology will eventually reduce the need for certain legal services, but it is unclear what the pay rate of attorneys in NYC has in relation with Bitcoin.
Also on page 225 a small typo: “International Derivatives and Swaps Association (ISDA)” — need to flip Derivatives and Swaps.
On page 226, 227, 229 and 244: nextcoin should be called NXT.
On page 227 they write, “Theses are tradable for bitcoins and other cryptocurrencies on special altcoin exchanges such as Cryptsy, where their value is expected to rise and fall according to the success or failure of the protocol to which they belong.”
There is a disconnect between the utility of a chain and the speculative activity around the token. For instance, most day traders likely do not care about the actual decentralization of a network, for if they did, it would be reflected in prices of each chain. There are technically more miners (block makers) on dozens of alternative proof-of-work chains than there in either bitcoin or litecoin yet market prices are (currently) not higher for more decentralized chains.
On page 228 they write that:
“Under their model, the underlying bitcoin transactions are usually of small value — as low as a “Satoshi” (BTC0.00000001). That’s because the bitcoin value is essentially irrelevant versus the more important purpose of conveying the decentralized application’s critical metadata across the network, even though some value exchange is needed to make the communication of information happen.”
Actually in practice the limit for watermarked coins typically resides around 0.0001 BTC. If it goes beneath 546 satoshi, then it is considered dust and not included into a block. Watermarked coins also make the network top heavy and probably insecure.8
On page 209, the third time “virtual currency” is used and comes from Daniel Larimer, but without quotes.
On page 230 they discuss an idea from Daniel Larimer to do blockchain-based voting. While it sounds neat in theory, in practice it still would require identity which again, Bitcoin doesn’t solve. Also, it is unclear from the example in the book as to why it is any more effective/superior than an E2E system such as Helios.
On page 238 they write, “It gets back to the seigniorage problem we discussed in chapter 5 and which Nakamoto chose to tackle through the competition for bitcoins.”
I am not sure I would classify it as a problem per se, it is by design one method for rewarding security and distributing tokens. There may be other ways to do it in a decentralized manner but that is beyond the scope of this review.
On page 239 they discuss MaidSafe and describe the “ecological disaster” that awaits data-center-based storage. This seems a bit alarmist because just in terms of physics, centralized warehouses of storage space and compute will be more efficient than a decentralized topology (and faster too). This is discussed in Chapter 3 (under “Another facsimile”).
Continuing they quote the following statement from David Irvine, founder of MaidSafe: “Data centers, he says, are an enormous waste of electricity because they store vast amounts of underutilized computing power in huge warehouse that need air-condition and expensive maintenance.”
Or in other words: #bitcoin
On page 242 they mention Realcoin whose name has since been changed to Tether. It is worth pointing out that Tether does not reduce counterparty risk, users are still reliant on the exchange (in this case Bitfinex) from not being hacked or shut down via social engineering.
On page 244, again to illustrate how fast this space moves, Swarm has now pivoted from offering cryptocurrency-denominated investment vehicles into voting applications and Open-Transactions has hit a bit of a rough patch, its CTO, Chris Odom stepped down in March and the project has not had any public announcements since then.
Chapter 10:
If you missed it, the last few weeks on social media have involved a large debate around blockchain stability with respect to increasing block sizes. During one specific exchange, several developers debated as to “who was in charge,” with Mike Hearn insisting that Satoshi left Gavin in charge and Greg Maxwell stating that this is incorrect.
This ties in with the beginning of page 247, the authors write about Gavin Andresen, “A week earlier he had cleared out his office at the home he shares with his wife, Michele – a geology professor at the University of Massachusetts — and two kids. He’d decided that a man essentially if not titularly in charge of running an $8 billion economy needed something more than a home office.”
Who is in charge of Bitcoin? Enthusiasts on reddit and at conferences claim no one is. The Bitcoin Foundation claims five people are (those with commit access). Occasionally mainstream media sites claim the Bitcoin CEO or CFO is fired/jailed/dead/bankrupt.
The truth of the matter is that it is the miners who decide what code to update and use and for some reason they are pretty quiet during all of this hub bub. Beyond that, there is a public goods problem and as shown in the image above, it devolves into various parties lobbying for one particular view over another.
The authors wrote about this on page 247, “The foundation pays him to coordinate the input of the hundreds of far-flung techies who tinker away at the open-licensed software. Right now, the bitcoin community needed answers and in the absence of a CEO, a CTO, or any central authority to turn to, Andresen was their best hope.”
It is unclear how this will evolve but is a ripe topic of study. Perhaps the second edition will include other thoughts on how this role has changed over time.
On page 251 they write, “Probably ten thousand of the best developers in the world are working on this project,” says Chris Dixon, a partner at venture capital firm Andreessen Horowitz.
How does he know this? There are not 10,000 users making changes to Bitcoin core libraries on github or 10,000 subscribers to the bitcoin development mailing list or IRC rooms. I doubt that if you added up all of the employees of every venture-backed company in the overall Bitcoin world, that the amount would equate to 2,000 let alone 10,000 developers. Perhaps it will by the end of this year but this number seems to be a bit of an exaggeration.
Continuing Dixon states, “You read these criticisms that ‘bitcoin has this flaw and bitcoin has that flaw,’ and we’re like ‘Well, great. Bitcoin has ten thousand people working hard on that.”
This is not true. There is a public goods problem and coordination problem. Each developer and clique of developers has their own priorities and potential agenda for what to build and deploy. It cannot be said that they’re all working towards one specific area. How many are working on the Lightning Network? Or on transaction malleability (which is still not “fixed”)? How many are working on these CVE?
On page 254 they discuss Paul Baran’s paper “On Distributed Communications Networks,” the image of which has been used over the years and I actually used for my paper last month.
On page 255 the fourth usage of “virtual currency” appears regarding once more, FinCEN director Jennifer Shasky. Followed by page 256 with another use of “virtual currency.” On page 257 Benjamin Lawsky was quoted using “virtual currency.” Page 259 the term “virtual currency” appears when the European Banking Authority is quoted. Page 260 and 261 sees “virtual currency” being used in relation with NYDFS and Lawsky once more. On page 264 another use of “virtual currency” is used and this time in relation with Canadian regulations from June 2014.
On page 265 they mention “After the People’s Bank of China’s antibitcoin directives…”
I am not sure the directives were necessarily anti-bitcoin per se. Rather they prohibited financial institutions like banks and payment processors from directly handling cryptocurrencies such as bitcoins. The regulatory framework is still quite nebulous but again, going back to “excessive” in the introduction above, it is unclear why this is deemed “anti-bitcoin” when mining and trading activity is still allowed to take place. Inconsistent and unhelpful, yes. Anti? Maybe, maybe not.
Also on page 265 they mention Temasek Holdings, a sovereign wealth fund in Singapore that allegedly has bitcoins in its portfolio. When I was visiting there, I spoke with a managing director from Temasek two weeks ago and he said they are not invested in any Bitcoin companies and the lunchroom experiment with bitcoins has ended.
On page 268 the authors discuss “wallets” once more this time in relation with Mt.Gox: “All the bitcoins were controlled by the exchange in its own wallets” and “Reuters reported that only Karpeles knew the passwords to the Mt. Gox wallets and that he refused a 2012 request from employees to expand access in the event that he became incapacitated.”
Chapter 11:
On page 275 the authors use a good nonce, “übercentralization.”
On page 277 they write, “While no self-respecting bitcoiner would ever describe Google or Facebook as decentralized institutions, not with their corporate-controlled servers and vast databases of customers’ personal information, these giant Internet firms of our day got there by encouraging peer-to-peer and middleman-free activities.”
In the notes on the margin I wrote “huh?” And I am still confused because each of these companies attempts to build a moat around their property. Google has tried 47 different ways to create a social network even going so far as to cutting off its nose (Google Reader, RIP) to spite its face all with the goal of keeping traffic, clicks and eyeballs on platforms it owns. And this is understandable. Similarly Coinbase and other “universal hosted wallets” are also trying to build a walled garden of apps with the aim of stickiness — finding something that will keep users on their platform.
On page 277 they also wrote that, “Perhaps these trends can continue to coexist if the decentralizing movements remains limited to areas of the economy that don’t bleed into the larger sectors that Big Business dominates.”
What about Big Bitcoin? The joke is that there are 300,027 advocacy groups in Bitcoinland: 300,000 privkey holders who invested in bitcoin and 27 actual organizations that actively promote Bitcoin. There is probably only one quasi self-regulating organization (SRO), DATA. And the advocacy groups are well funded by VC-backed companies and investors, just look at CoinCenter’s rolodex.
On page 280 they write, “Embracing a cryptoccurency-like view of finance, it has started an investment program that allows people invest directly in the company, buying notes backed by specific hard assets, such as individual stores, trucks, even mattress pads. No investment bank is involved, no intermediary. Investors are simply lending U-Haul money, peer-to-peer, and in return getting a promissory note with fixed interested payments, underwritten by the company’s assets.”
This sounds a lot like a security as defined by the Howey test. Again, before participating in such an activity be sure to talk with a legal professional.9
On page 281 they use the term “virtual currencies” for the 11th time, this time in reference to MasterCard’s lobbying efforts in DC for Congress.
On page 283 a small typo, “But here’s the rub: because they are tapped” — (should be trapped).
On page 283 they write, “By comparison, bitcoin processors such as BitPay, Coinbase, and GoCoin say they’ve been profitable more or less from day one, given their low overheads and the comparatively tiny fees charged by miners on the blockchain.”
This is probably false. I would challenge this view, and that none of them are currently breaking even on merchant processing fees alone.
In fact, they likely have the same user acquisition costs and compliance costs as all payment processors do.
For instance, in October 2014, Brian Armstrong and Fred Ehrsam, co-founders of Coinbase, did a reddit AMA. At the 21:12 minute mark (video):
Q: Is Coinbase profitable or not, if not, when?
A: It’s happened to be profitable at times, at the moment it’s not; we’re not burning too much cash. I think that the basic idea here is to grow and by us growing we help the entire ecosystem grow — without dying. So not at the moment but not far.
It’s pretty clear from BitPay’s numbers that unless they’ve been operating a high volume exchange, they are likely unprofitable.
Why? Because, in part of the high burn rate. What does this mean?
Last week Moe Levin, former Director of European Business Development at BitPay, was interviewed by deBitcoin, below is one detailed exchange starting at 1:57m:
Q: There was a lot of stories in the press about BitPay laying off people, can you comment on that?
A: Yea, what happened was we had a high burn rate and the company necessarily needed to scale back a little bit on how many people we hired, how many people we had on board, how much we sponsored things. I mean things were getting a little bit out of hand with sponsorships, football games and expansion — more care needed to be put on how and where we spent the money.
Q: Can you elaborate on the burn rate? Tim Swanson wrote a piece on BitPay in April, published this piece about the economy, the BitPay economy. Posted this piece on the burn rate and actual figures, have you read that piece? Can you comment on that?
A: Yes, it is especially hard for a company to build traction when they start off. Any start up is difficult to build traction. It’s doubly hard, the hardness is amplified when a company enters a market with competitors that have near unlimited resources because the other companies can either blow you out of the water or have better marketing strategies or they can do a ton of different things to make your startup more irrelevant. Standard in any company but it is doubly difficult when you enter a market like that. In the payments industry, forget about Bitcoin for a second, in the payments industry and the mobile commerce, ecommerce, company-to-company payments industry there are massive players with investments and venture backed companies in the billions. Competing at that stage is tricky and it necessarily requires a burn rate that is much higher than the average startup because of how you need to compete in this space. What is also important is that the regulation costs a lot of money for the startups in the Bitcoin economy. It’s the perfect storm of how a startup will be hit with a ton of expenses early on and that can hurt the growth of a company. Even though a lot of the money that went into it was growth capital it takes a while to get the balance right between spending and growing.
On page 284 they write, “That leads us to one important question: What happens to banks as credit providers if that age arrives? Any threat to this role could be a negotiating chip for banks in their marketing battle with the new technology.”
This is a good question and it dovetails with the “Fedcoin” discussion over the past 6 months.10
On page 285 they write, “With paper money they can purchase arms, launch wars, raise debt to finance those conflicts, and then demand tax payments in that same currency to repay those debts.”
This is a common misconception, one involving lots of passionate Youtube videos, that before central banks were established or fiat currencies were issued, that there was no war or “less war.” On page 309 they quote Roger Ver at a Bitcoin conference saying, “they’ll no longer be able to fund these giant war machines that are killing people around the world. So I see bitcoin as a lever that I can use to move the world in a more peaceful direction.”
Cryptocurrencies such as Bitcoin will not end wars for the same reason that precious metals did not prevent wars: the privkey has no control over the “wet code” on the edges. Wars have occurred since time immemorial due to conflicts between humans and will likely continue to occur into the future (I am sure this statement will be misconstrued on reddit to say that I am in support of genocide and war).
On page 286 they write, “Gil Luria, an analyst at Wedbush Securities who has done some of the most in-depth analysis of cryptocurrency’s potential, argues that 21 percent of U.S. GDP is based in “trust” industries, those that perform middlemen tasks that blockchain can digitize and automate.”
In looking at the endnote citation (pdf) it is clear that Luria and his team is incorrect in just about all of the analysis that month as they rely on unfounded assumptions to both adoption and the price of bitcoin. That’s not to say some type of black swan events cannot or will not occur, but probably not for the reasons laid out by the Wedbush team. The metrics and probabilities are entirely arbitrary.
For instance, the Wedbush analysts state, “Our conversation with bitcoin traders (and Wall Street traders trading bitcoin lead us to believe they see opportunity in a market that has frequent disruptive news flow and large movements that reflect that news flow.”
Who are these traders? Are they disinterested and objective parties?
For instance, a year ago (in February 2014), Founders Gridasked 50 Bitcoin “experts” what their bitcoin price predictions were over the next year. The end result — all but a couple were completely, very wrong (see this spreadsheet for a line-by-line itemization). Later, in May 2014, CoinTelegraph asked (video) more than 30 Bitcoin “experts” as to what their bitcoin predictions were for the end of 2014. Once again, all but a couple were completely, very wrong.
Or in short, no one has a very good track record of predicting either prices or adoption. Thus it is unclear from their statements why a cryptocurrency such as Bitcoin will automatically begin performing the tasks that comprise 21% of US economic output based on “trust.”
On page 288 they write, “So expect a backlash once banks start shutting back-office administrative centers in midtown Manhattan or London’s Canary Wharf when their merchant customers start booking more customer sales via cryptocurrency systems to avoid the 3 percent transaction fees.”
I think there is a lot of conflation here. For starters, back-offices could be reformed with the integration of distributed ledgers, but probably not cryptocurrency systems (why would a trusted network need proof-of-work?). Secondly, the empirical data thus far suggests that it doesn’t matter how many merchants adopt cryptocurrencies as payments, what matters is consumer adoption — and thus far the former out paces the latter by several an enormous margin. Third, that 3% is broken down and paid to a variety of other participants not just Visa or MasterCard. Fourth, the US economy (like that of Europe and many other regions) is consumer driven — supply does not necessarily create its own demand.
There is one more point, but first the authors quote Chris Dixon from Andreessen Horowitz, “On the one hand you have the bank person who loses their job, and everyone feels bad about that person, and on the other hand, everyone else saves three percent, which economically can have a huge impact because it means small businesses widen their profit margins.”
This myth of “3%” savings is probably just a myth. At the end of the day Coinbase, BitPay and other payment processors will likely absorb the same cost structures as existing payment processors in terms of user acquisition, customer support, insurance, compliance and so forth. While the overhead may be lean, non-negligible operating costs still exist.
There are two reasons for why it could be temporarily cheaper to use Coinbase:
1) VC funding and exchange activity subsidizes the “loss-leader” of payment processing;
2) because Coinbase outsources the actual transaction verification to a third party (miners), they are dependent on fees to miners staying low or non-existent. At some point the fees will have to increase and those fees will then either need to be absorbed by Coinbase or passed on to customers.
On page 290 they quote Larry Summers, “So it seems to me that the people who confidently reject all the innovation here [in blockchain-based payment and monetary systems] are on the wrong side of history.”
Who are these people? Even Jeffrey Robinson finds parts of the overall tech of interest. I see this claim often on social media but it seems like a strawman. Skepticism about extraordinary claims that lack extraordinary proof does not seem unwarranted or unjustified.
On page 292 they write, “But, to borrow an idea from an editor of ours, such utopian projects often end up like Ultimate Frisbee competitions, which by design have no referees — only “observers” who arbitrate calls — and where disputes over rule violations often devolve into shouting matches that are won by whichever player yells the loudest, takes the most uncompromising stance, and persuades the observer.”
This is the exact description of how Bitcoin development works via reddit, Twitter, Bitcoin Talk, the Bitcoin Dev mailing list, IRC and so forth. This is not a rational way to build a financial product. Increasing block sizes that impact a multi-billion dollar asset class should not be determined by how many Likes you get on Facebook or how often you get to sit on panels at conferences.
Final chapter (conclusion):
On page 292 they write, “Nobody’s fully studied how much business merchants are doing with bitcoin and cryptocurrencies, but actual and anecdotal reports tend to peg it at a low number, about 1 percent of total sales for the few that accept them.”
My one quibble is that they as journalists were in a position to ask payment processors for these numbers.
Fortunately we have a transparent, public record that serves as Plan B: reused addresses on the Bitcoin blockchain.
As describedin detail a couple weeks ago, the chart above is a log scale measuring the amount of bitcoins that both BitPay (in green) and Evolution (in red) received starting January 16, 2014. The drop off at the end in March 2015 is related to the exit scam that Evolution underwent (and the drop off for BitPay is related to a limitation in WalletExplorer’s data).
As we can see here, based on the clusters labeled by WalletExplorer, on any given day BitPay processes about 1,200 bitcoins (the actual number is probably about 10% higher).
The chart above are self-reported transaction numbers from Coinbase. While it is unclear what each transaction can or do represent, in aggregate it appears to be relatively flat over the past year.11 Perhaps that will change in the future.
On page 295 they write, “Volatility in bitcoin’s price will also eventually decline as more traders enter the market and exchanges become more sophisticated.”
As Christopher Hitchens once remarked, that which can be asserted without evidence, can be dismissed without evidence. Those making a positive claim (that volatility will decline) are the party that needs to prove this and they do not in this book. Perhaps volatility will somehow disappear, but not for the non-technical reasons they describe.
At the bottom of page 295 they write, “Even so, we will go out on a limb here and argue that encryption-based, decentralized digital currencies do have a future.”
Again, there is no encryption in cryptocurrencies, only cryptographic primitives. Also, as described in the introductory notes above, virtual currencies are not synonymous with digital currencies.
Also on page 295 they write, “Far more important, it solves some big problems that are impossible to address within the underlying payment infrastructure.”
Yes, there are indeed problems with identity and fraud but it is unclear from this book what Bitcoin actually solves. No one double-spends on the Visa network. No one has, publicly, hacked the Visa Network (which has 42 firewalls and a moat). The vulnerabilities and hacks that take place are almost always at the edges, in retailers such as Home Depot and Target (which is unfortunately named). This is not to say that payment rails and access to them cannot be improved or made more accessible, but that case is not made in this book.
On page 296 they write, “Imagine how much wider the use of cyptocurrency would be if a major retailer such as Walmart switched to a blockchain-based payment network in order to cut tens of billions of dollars in transaction costs off the $350 billion it sends annually to tens of thousands of suppliers worldwide.”
Again this is conflating several things. Walmart does not need a proof-of-work blockchain when it sends value to trusted third parties. All the participants are doxxed and KCY’ed. Nor does it need to convert fiat -> into a cryptocurrency -> into fiat to pay retailers. Instead, Walmart in theory, could use some type of distributed ledger system like SKUChain to track the provenance of items, but again, proof-of-work used by Bitcoin are unneeded for this utility because parties are known.
Also, while the authors recognize that bitcoins currently represent a small fraction of payments processed by most retailers, one of the reasons for why they may not have seen a dramatic improvement in their bottom line because people — as shown with the Wence Casares citation above (assuming the 96% figure is accurate) — do not typically purchase bitcoins in order to spend them but rather invest and permanently hold them. Perhaps that may change in the future.
On page 297 they write, “But now bitcoin offers an alternative, one that is significantly more useful than gold.”
That’s an unfounded claim. The two have different sets of utility and different trade-offs We know precious metals have some use-value beyond ornamentation, what are the industrial usages of bitcoin? In terms of security vulnerabilities there are trade-offs of owning either one. While gold can be confiscated and stolen, to some degree the same challenge holds true with cryptocurrencies due to its bearer nature (over a million bitcoins have been lost, stolen, seized and destroyed).12 One advantage that bitcoin seems to have is cheaper transportation costs but that is largely dependent on subsidized transaction fees (through block rewards) and the lack of incentives to attack high-value transactions thus far.
On page 300 they write, “As you’ll know from having read this book, a bitcoin-dominant world would have far more sweeping implications: for one, both banks and governments would have less power.”
That was not proven in this book. In fact, the typical scenarios involved the success of trusted third parties like Coinbase and Xapo, which are banks by any other name. And it is unclear why governments would have less power. Maybe they will but that was not fleshed out.
On page 301 they write, “In that case, cryptocurrency protocols and blockchain-based systems for confirming transactions would replace the cumbersome payment system that’s currently run by banks, credit-card companies, payment processors and foreign-exchange traders.”
The authors use the word cumbersome too liberally. To a consumer and even a merchant, the average swipeable (nonce!) credit card and debit card transaction is abstracted away and invisible. In place of these institutions reviled by the authors are, in practice, the very same entities: banks (Coinbase, Xapo), credit-card companies (Snapcard, Freshpay), payment processors (BitPay, GoCoin) and foreign-exchange traders (a hundred different cryptocurrency exchanges). Perhaps this will change in the future or maybe not.
On page 305 they write about a “Digital dollar.” Stating, “Central banks could, for example, set negative interest rates on bank deposits, since savers would no longer be able to flee into cash and avoid the penalty.”
This is an interesting thought experiment, one raised by Miles Kimball several months ago and one that intersects with what Richard Brown and Robert Sams have discussed in relation to a Fedcoin.
On page 306 they write about currency reserves, “we doubt officials in Paris or Beijing are conceiving of such things right now, but if cryptocurrency technology lives up to its potential, they may have to think about it.”
This is wishful thinking at best. As described in Chapter 13, most proponents of a “Bitcoin reserve currency” are missing some fundamental understanding of what a reserve currency is or how a currency becomes one.
Because there is an enormous amount of confusion in the Bitcoin community as to what reserve currencies are and how they are used, it is recommended that readers peruse what Patrick Chovanec wrote several years ago – perhaps the most concise explanation – as it relates to China (RMB), the United Kingdom (the pound) and the United States (the dollar):
There are four main factors that set the Pound and the Dollar apart as viable and attractive reserve currencies. Each was necessary. They were liquid. They were available. And they were perceived as safe. I’m going to run through each of these conditions in turn. I will consider how they applied to the Pound and the Dollar, and to what extent they are satisfied by China’s Renminbi.
(1) Necessity. The fundamental purpose of a reserve currency is to settle external obligations. The greater quantity and variety of obligations a particular currency can settle, the more useful it is as a reserve currency. The currency of a country that produces little of note and lacks funds to lend or invest is not nearly as useful as one whose home economy produces many goods and services desired around the world, serves as an important source of capital, and has many commercial partners who also find its currency relevant to meeting their own obligations. This idea — that the dominant reserve currency derives its status from its connection with the dominant national economy in an interconnected world – is what underlies Roubini’s reasoning that the Renminbi may be next in line to replace the Dollar.
But this conclusion misses something important. A reserve currency must not only be capable of settling obligations in connection with a heavy-weight economy. It must be required to. Because if you can settle those obligations, as sizeable and important as they may be, using your own currency — or the currency of another leading economy — there is no reason to hold that country’s currency as a reserve. That is precisely the case today with China.
It is unclear how or why some Bitcoin advocates can suggest that bitcoins will ever be used as a reserve currency when there is no demand for the currency to meet external trading obligations let alone in the magnitude that these other currencies do (RMB, USD, GBP).
On page 307 they write:
Under this imagined Bretton Woods II, perhaps the IMF would create its own cryptocurrency, with nodes for managing the blockchain situated in proportionate numbers within all the member countries, where none could ever have veto power, to avoid a state-run 51 percent attack.
Proof-of-work mining on a trusted network is entirely unnecessary yet this type of scenario is propagated by a number of people in the Bitcoin space including Adam Ludwin (CEO of Chain.com) and Antonis Polemitis (investor at Ledra Capital). Two months ago on a panel at the Stanford Blockchain event, Ludwin predicted that in the future governments would subsidize mining. Again, the sole purpose of mining on a proof-of-work blockchain is because the actors cannot trust one another. Yet on a government-run network, there are no unverified actors (Polemitis has proposed a similar proof-of-work solution for Fedcoin).
Again, there is no reason for the Fed, or any bank for that matter, to use a Bitcoin-like system because all parties are known. Proof-of-work is only useful and necessary when actors are unknown and untrusted. The incentive and cost structure for maintaining a proof-of-work network is entirely unnecessary for financial services institutions. Furthermore, maintaining anonymous validators while simultaneously requiring KYC/AML on end users is a bit nonsensical (which is what the Bitcoin community has done actually). Not only do you have the cost structures of both worlds but you have none of the benefits. If validators are known, then they can be held legally responsible for say, double spending or censoring transactions.
Robert Sams recently noted the absurdity of this hydra, why permissionless systems are a poor method for managing off-chain assets:
The financial system and its regulators go to great lengths to ensure that something called settlement finality takes place. There is a point in time in which a trade brings about the transfer of ownership–definitively. At some point settlement instructions are irrevocable and transactions are irreversible. This is a core design principle of the financial system because ambiguity about settlement finality is a systemic risk. Imagine if the line items of financial institution’s balance sheet were only probabilistic. You own … of … with 97.5% probability. That is, effectively, what a proof-of-work based distributed ledger gives you. Except that you don’t know what the probabilities are because the attack vectors are based not on provable results from computers science but economic models. Do you want to build a settlement system on that edifice?
Though as shown by the NASDAQ annoucement, this will likely not stop people from trial by fire.
Concluding remarks
Bertha Benz, wife of Karl Benz, is perhaps best known for her August 1886 jaunt through present day Baden-Württemberg in which she became the first person to travel “cross-country” in an automobile — a distance of 106 kilometers.
It is unclear what will become of Bitcoin or cryptocurrencies, but if the enthusiasm of the 19th century German countryside echoed similar excitement as reddit sock puppets do about magic internet money, they must have been very disappointed by the long adoption process for horseless carriages to overtake horses as the primary mode of transportation. For instance, despite depictions of a widely motorized Wehrmacht, during World War II the Teutonic Heer army depended largely on horses to move its divisions across the battlefields of Europe: 80% of its entire transportation was equestrian. Or maybe as the popular narrative states: cryptocurrencies are like social networks and one or two will be adopted quickly, by everyone.
So is this book the equivalent to a premature The Age of Automobile? Or The New Age of Trusted Third Parties?
Its strength is in simplicity and concision. Yet it sacrifices some technical accuracy to achieve this. While it may appear that I hated the book or that each page was riddled with errors, it bears mentioning that there were many things they did a good job with in a fast-moving fluid industry. They probably got more right than wrong and if someone is wholly unfamiliar with the topic this book would probably serve as a decent primer.
Furthermore, a number of the incredulous comments that are discussed above relate more towards the people they interviewed than the authors themselves and you cannot really blame them if the interviewees are speaking on topics they are not experts on (such as volatility). It is also worth pointing out that this book appears to have been completed around sometime last August and the space has evolved a bit since then and of which we have the benefit of hindsight to utilize.
You cannot please everyone
For me, I would have preferred more data. VC funding is not necessarily a good metric for productive working capital (see the Cleantech boom and bust). Furthermore, VCs can and often are wrong on their bets (hence the reason not all of them outperform the market).13 Notable venture-backed flops: Fab, Clinkle, DigiCash, Pets.com and Beenz. I think we all miss the heady days of Cracked.com.
Only two charts related to Bitcoin were used: 1) historical prices, 2) historical network hashrate. In terms of balance, they only cited one actual “skeptic” and that was Mark Williams’ testimony — not from him personally. For comparison, it had a different look and feel than Robinson’s “BitCon” (here’s my mini review).
Both Michael and Paul were gracious to sign my book and answer my questions at Google and I think they genuinely mean well with their investigatory endeavor. Furthermore, the decentralized/distributed ledger tent is big enough for a wide-array of views and disagreement. While I am unaware of any future editions, I look forward to reading their articles that tackle some of the challenges I proposed above. Or as is often unironically stated on reddit: you just strengthened (sic) my argument.
Endnotes:
Note: I contacted Rulli who mentioned that the project has been ongoing for about 10 years — they have been distributing value since 2005 and adopted bitcoin due to what he calls a “better payment solution.” They have 500,000 registered users and all compete for the same pot of bitcoins each month. [↩]
Additional calculations from Dave Hudson:
– Current Bitcoin network capacity: approximately 320 PH/s (320 x 10^15)
– Best case power efficiency (shipping today): approximately 0.5 J/GH (0.5 x 10^-9 J/H)
Likely power efficiency: approximately 1.0 J/GH (1 x 10^-9 J/H) = 2 x best case
– Best case power usage (sustained): 320 x 10^15 x 0.5 x 10^-9 = 160 x 10^6 W = 160 MW
Likely power efficiency: 160 x 2 = 320 MW
– Best case power usage per day: 160 x 24 = 3840 MWh = 3.84 GWh
Likely power usage per day: 320 x 24 = 7680 MWh = 7.68 GWh
– Best case power usage per year: 3.84 x 365 = 1401.6 GWh = 1.4 TWh
Likely power usage per year: 7.68 x 365 = 2803.2 GWh = 2.8 TWh
The best case example would represent the entire Bitcoin network using the best possible hardware and doesn’t account for any cooling or any other computers used in the Bitcoin network. As such it represents an impossible best version of a network of this size. The likely example is probably closer as there is older hardware still in use and most data centers need cooling of some sort.
The US Energy Information Administration estimated the US power generation capacity for 2012 at 1051 GW so the 320 MW number would represent 0.03% of the total electricity supply for the US. Assuming that we take the 320 MW figure then that would put Bitcoin at about 10% of Ireland’s electricity supply. [↩]
Below are my answers, a few of which may be of particular interest in light of the FinCEN enforcement action related to Ripple. For instance, are cryptocurrency payment processors — which typically claim exemption from money service business (MSB) requirements — required to comply with KYC (know your customer) and also submit SARs? Will VC funded cryptocurrency mining pools and farms be required to do KYM (know your miner) and AML to establish source of funds? See also: Lowell Ness’s discussion (video) at 20Mission last summer covering MSB/MTL and altcoins.
————–
Q: Are the size of the circles you’ve used in the diagram proportional or arbitrary?
Mostly arbitrary. They needed to be big enough to where you can see the words, but there is some proportional aspect too. For instance, in terms of on-chain transactions we know gambling transactions as a whole are likely the largest component of transaction volume. And based on clusters identified by companies such as Coinalytics, darknet markets as an aggregate likely do more transactions than payment processors do. While exchanges as a whole also process large amounts of transactions, because it occurs off-chain it is unclear what their real volume is.
Q: Are non-KYC exchanges simply matching darknet sellers (and ‘tainted coins’) with buyers, or are they buying btc from the dark markets themselves?
Mostly the former rather than the latter. Until we find out more information about who operates the non-KYC exchanges, it is not fully clear what the motives would be for buying BTC from darknet markets. For instance, there was an “old” joke: the reason BTC-e never gets hacked is that hackers would no longer have a place to launder funds through. Yet several weeks ago BTC-e allegedly prevented funds from the Evolution hack to be withdrawn from BTC-e for a short period of time before re-enabling withdrawals. The details of how this was resolved are still unclear. Similarly, in practice “virgin” coins (newly mined coins) can be sold at a premium on sites like Localbitcoins.com as they lack any history of illicit activity. Incidentally, according to an ongoing lawsuit from Syscoin, Localbitcoins is allegedly where Alex Green/Ryan Kennedy was selling bitcoins he purportedly stole from the MintPal theft (using the name “LemonadeDev”).
Q: Are ransomware victims only buying btc from non-KYC exchanges?
It may have been a little unclear from the chart but ransomware victims also purchase coins from KYC exchanges too. Which bucket has more volume is unknown at this time. Incidentally, according to a recent interview with the BBC, a security expert at IBM thinks that the criminals behind ransomware products like Cryptolocker sell their bitcoins quickly in order to reduce their exposure to price volatility. To do so, to move into and out of fiat they will use “mules,” individuals that clean the cash and charge a fee of around 20%. This ties in to your previous question about tainted coins and non-KYC exchanges.
Q: Were there any surprises for you here when compiling the diagram, or did it confirm what you had already found through previous posts?
There weren’t any real big surprises, but what probably stood out most is where the “fiat leakage” occurs — where people take bitcoins out of circulation and purchase them with dollars or euros. The fact that this is still occurring ties back into the question that Rick Falkvinge raised 18 months ago: since we know that above-board trade is relatively subdued compared with illicit trade — if the non-KYC on and off ramps were shut down, what impact would that have on the overall Bitcoin economy?
Q: You mention the non-KYC and KYC worlds, how separate are the two now? Will they drift further as we see more regulation in the sector?
I think they are both intertwined and perhaps symbiotic for at least three reasons: 1) due to how KYM (know your miner) is not 100% mandatory globally, non-KYC’ed entities create continuous non-negligible demand for a product. 2) The prevalence of “temporary” wallets. I labeled them “burner” wallets on the chart but in many cases if a user has limited operational security (e.g., does not use Tor and a VPN) therefore they do not have much added privacy and are thus not actually “burner” but rather “temporary.” Either way, the flow through these wallets, such as Blockchain.info (whose users are not KYC’ed) back into the KYC economy create demand for above-board services. The third area are non-KYC’ed bitcoins that go to merchants who unknowingly act like “mules,” sometimes exchanging above-board products for bitcoins that had previously circulated through illicit markets. Last December Carl Mullan published a paper that describes several of the methods this is done (see p. 32).
Whether or not this bifurcation will continue is an open question. One theory articulated by Jon Matonis and others is that continual adoption and implementation of KYC/AML policies by startups will create “white listed” coins and “black listed” coins and that “black listed” coins will trade at a premium over “white listed” coins. To understand why this might occur, you have to consider the universal principle of nemo dat quod non habet (one cannot give what they do not have). Several attorneys, including George Fogg, have indicated that bitcoins are treated as general intangibles under the Uniform Commercial Code. If bitcoins are general intangibles, not currency (legal tender), negotiable instruments, or security entitlements, they it is not at all clear that bitcoins would have an exemption from nemo dat quod non habet. In other words, bitcoins would transfer subject to, rather than free and clear of, associated claims and security interests and, as a result, would not be fungible (capable of mutual substitution). Whether or not that means certain bitcoins will be treated like a hot potato is also an open question. However, if all on-ramp and off-ramps for all services become KYC/AML compliant, we may be able to answer the question raised by Rick Falkvinge above as to how much of the economy is driven by illicit trade.
Q: With regards to you using word ‘scam’, do you expect a backlash?
Not really. I don’t think scammers deserve a free pass and I don’t think I am the only one describing their aggregate impact. On any given week, both Bitcoin media outlets and mainstream news organizations cover this type of activity, there is even a subreddit, sorryforyourloss, that sometimes covers it. In addition, searching the word “scam” in the CoinDesk search bar found 176 results. In January you guys reported on academic research that found at least 42 scams involving bitcoin and a number of your reporters have likewise covered the demise of Moolah, Neo & Bee and most recently PayCoin.
Q: How much of the data was available to you publicly?
The blockchain data resides on thousands of nodes. The labels of clusters started with WalletExplorer (which is public) but the graphs and further analysis comes through Coinalytics which has its own proprietary methods. There are a few other companies that are also involved in this space including Chainalysis, who also begins by using the public blockchain. Blockchain.info publishes two charts on its “My Wallet” activity which give some indication of how much activity is occurring by their users. As far as fiat leakage, mining and activity on exchanges, a lot of this comes from social media, chat groups and anecdotes from reliable sources.
Yesterday I gave a new presentation at a roundtable talk at the Sim Kee Boon Institute at Singapore Management University.
Additional notes, references and citations are in the comments of each slide.
I would like to thank Arthur Breitman, Andrew Geyl (Organ of Corti), Yakov Kofner, Raja Ramachandran and John Whelan for their feedback and comments on several slides.
About 3 weeks ago I published the “Consensus as a service” report. What has the fallout been over it?
A few stats: in the first 5 days the PDF was downloaded 2,549 times. It has been viewed 2,414 times on Scribd over the past 19 days; similarly there were 1,217 “engagements” on the launch tweet during the same period of time.
The specific, public comments broadly fall into 3 groups:
those that think Bitcoin is the only blockchain that can and does matter and everything else is a worthless unholy “Frankenstein” ledger
those that think cryptocurrency systems as a whole are superior to non-cryptocurrency distributed ledger networks
those, like Nick Williamson, who are open to building technology for specific customers and use-cases
As of this writing, the majority of views on /r/bitcoin and Twitter seem to take the maximalist, one-size-fits-all approach: that Bitcoin is the only way, the truth and the light.
In contrast, the target audience for the report are decision makers and developers within the financial services industry. These individuals, based on months of conversations, are more interested in permissioned ledgers for their business needs because all of the parties involved in the transactions are known, have real-world reputations to maintain, have responsibilities which are expressed in a terms-of-service that is contractually binding and are ultimately legally accountable for actions (or inaction).
Cryptocurrency networks like Bitcoin, a public good that purposefully lacks a terms of service or accountable validators, were specifically designed not to interface with these organizations and institutions — and intentionally created an expensive method to route around all entities (via proof-of-work). Thus in practice, it makes some sense that financial institutions may not be interested in Bitcoin as-is.
This may be a problem to maximalists, who have come to create and control a narrative in which Bitcoin can and will disrupt anything and everything that deals with finance and have invested accordingly. Perhaps it will, but then again, maybe it will not.
While there were a number of interesting comments elsewhere, I think the most objective was — independently — an interview earlier this week in Institutional Investor with Blythe Masters (formerly JPMorgan, now over at DAH):
Q: Everyone talks about the enormous potential of alternative currencies and their underlying technology. But the whold world of Bitcoin and other currencies was set up to resist centralization and intermediation. It didn’t want to be part of the organized financial industry; it was openly scornful of it, and there’s still a strong libertarian, antibank strain to much of the sector today. Do you think these worlds want to be bridged?
Blythe Masters: I would say that your general characterization of some in the space is correct. But if you had a really good idea about how to build a better tire for an automobile, you would probably be really interested in talking to the auto companies because they are the people that ultimately are going to make use of your technology. You could think that maybe, because of the power of your tire, there might emerge a whole new brand of auto companies that supplant the General Motors of the world because the incumbents never really got the whole concept of what a good tire should be all about. But I’m not sure that would be a good move.
Why do I think this tire analogy is apt?
Because each month at conferences, Bitprophets claim that financial institutions in New York, London and other global centers where capital resides, will fall to the wayside very soon.
Perhaps this prophecy will come true, but it is unlikely for the reason Masters points out: most of the funded Bitcoin companies thus far seem to act like tire companies.
A few entrepreneurs are hoping that newer, different car companies will not only adopt their tires but simultaneously replace older car companies that already provide the same product lines. While these startups are likely capable of providing utility and usefulness to someone, this overall narrative is probably wishful thinking. Why would Toyota or General Motors disappear and be completely replaced by new automobile companies in the coming years because someone created a new tire? Perhaps these existing car manufacturers will indeed disappear due to changes in consumer preferences or safety concerns but probably not because of a new tire.
Furthermore, characterizing the 8 different projects discussed in the report as Frankenstein ledgers is funny as those writing the comments seem to have forgotten how tech iteration works.
For instance, according to Gwern Branwen, the key moving parts that Bitcoin uses are actually a bit old:
Would projects like git, which use a few of these parts, be considered “Frankenchains”?
The reaction that a few have had the past couple of weeks makes one wonder as to how they would initially react if alternative airplanes, automobiles and boats were invented: “But a monoplane cannot work as it is missing essential features from the original biplane!”
Taking a step back, calling one of the 8 projects in the report “Frankenledgers” would be like calling:
any non-Unix operating system, FrankenOSes (which is ironic since Unix was itself a FrankenOS relative to Multics)
any non-Motorola cell phone, Frankenphones
Maybe none of the projects in the report will ultimately succeed. Maybe in five or six years they fail to gain traction. Maybe future ledgers and projects add additional “moving parts” to whatever they ultimately call their chain.
Yet we cannot command customer-driven technology to follow one specific narrative anymore than the previous pioneers of technology. Just ask Alfred Nobel or other inventors over the past few centuries. Furthermore, building ever larger quantities of a product without figuring out if there is a product-market fit seems to be how the Bitcoin community has attempted to operate over the past several years. Perhaps this “marketing myopia” will pay-off, maybe the Kevin Costner syndrome (build it and hope they come) will be avoided. Or maybe not.
Owning coins without disclosing they do
“It’s about the coin, you cannot downplay the coin!” was another common response.
To me the question of coins or no-coins is a red herring. Perhaps organizations find them useful or maybe not. Ultimately however, the target market for the report were organizations who need products that:
1) Create additional financial controls (removing the ability for one administrator to abuse the system because the information and state is distributed and shared)
2) Provide additional transparency for their risk management and capital management teams (such as reducing duplicative effort in Transaction Reporting)
Or in short, this variation of shared, replicated ledgers helps financial institutions to securely reduce costs. That may sound mundane and unsexy, but reducing IT costs at some banks can mean tens of millions in savings. As a result, some financial institutions (and likely other industries), are looking to take parts of the toolkit, portions of the 10 moving parts above and develop a new developer stack, just as LAMP did 15 years ago.1
How do validators fit in with this again?
The tl;dr of the report is that permissioned ledgers use known validators whereas permissionless ledgers intentionally use pseudonymous validators. They each have different cost structures and are targeting two different groups of customers.
Why are known validators important? Because in the event a chain forks, is censored or transactions are double-spent, there is no legal way to hold pseudonymous validators accountable because there is no terms of service or contractual obligation. Or more to the point, as a public good, who is responsible for when a block reorg take place? Apparently no one is. This is problematic for financial institutions that want to be able to reliably transfer large amounts of value.
If pseudonymous validating nodes and mining pools are required to doxx themselves (or the current euphemism, “trusted transparency”), they lose the advantage of being censorship resistant. Users might just as well use a permissioned ledger.
Why?
In the event such a fork, censored transaction or double-spending occurs with permissioned ledgers, the validator can be held legally accountable because they are known. Proof-of-work is no longer needed and entities that are doing the validating are held accountable to specific TOS/EULA.
The main reason that block reorgs do not occur more frequently, like what happened in March 2013, is that it is just not worth the effort right now relative to the amount of value being transacted on the Bitcoin network. Yet if there were billions or trillions USD in financial instruments like derivatives moving across the network, there would be an more incentives to attack and reverse transactions (this is one of the problems with watermarked coins as they create a disproportional reward delta). No financial institution is going to put this type of value on a permissionless chain if they cannot claim damages in the event of censorship or reversal.
“But you cannot have a secure ledger without coins,” is a common response. Isn’t owning bitcoins the most important part of this equation?
Under Meher Roy’s classification chart, this is only true if hyperbitcoinization takes place, which it probably will not (recall: that which can be asserted without evidence, can be dismissed without evidence).
Then why is this continually promoted? Probably because the company they work for or their personal portfolio includes bitcoins as part of their retirement plan and hope the demand for bitcoins by financial institutions and other organizations launches the price to the moon. This is not to say that Bitcoin is bad or worthless as a network (or as an asset, it may even have another black swan or two upwards), but neither the UTXO or network (as-is) is a solution to a problem most banks have.
Maybe as Matt Corallo (who shared the picture above) is right: perhaps in the long-run historians will look back at these permissioned, distributed ledgers and declare them non-blockchains. Maybe they will be called something else? However, as it stands right now, even with cryptocurrencies, Bitcoin is not the only way to skin a cat. The wheels (or tires) comprising Bitcoin and its nascent ecosystem can and will be interchanged and removed due to their open source nature and differing business requirements for each organization.
Keeping fees or be altruistic?
Are there any recent examples of doxxing of validators? Yesterday a bitcoin user (someone who controls a privkey) made a mistake and accidentally sent 85 bitcoins to a miner in the form of a fee. At ~$228 per BTC (at the time it was sent) this amounted to a $19,380 fee. After several hours of debugging and troubleshooting, the problem was identified and fixed.
Along the way, the block maker (the pool) was also identified and notified, in this case it was Bitmain (which operates AntPool) based in China who said they would return the fee.
The chart above covers the time frame over the past two years, between April 2013 – April 2015. It visualizes the fees paid to miners denominated in USD.
As we can see, in addition to the large fee yesterday, there are several outliers that have occurred. One that is publicly known took place on August 28, 2013 when someone sent a 200 bitcoin fee that was collected by ASICMiner. At the time the market value was $117.59 per BTC, which meant this was a $23,518 fee. It is unclear who originally sent the fee.
This raises a couple of questions.
The network was originally designed in such a way that validators (block makers) were pseudonymous and identification by outside participants was unintended and difficult to do. If users can now contact validators, known actors, why not just use a distributed ledger system that already identifies validators from the get go? What use is proof-of-work at all?
Yet a trend that has actually occurred over the past four years is self-identification.
For instance, I reached out to Andrew Geyl from Organ of Corti and he provided two lists.
Below is a list of the first time a pool publicly claimed a block:
A little history: Slush began publicly operating at the end of November 2010. Eligius was announced on April 27, 2011. DeepBit publicly launched on February 26, 2011 and at one point was the most popular pool, reaching for a short period in July 2011, more than 50% of the network hashrate.
Why did they begin to identify themselves and sign coinbase transactions? Geyl thinks they initially did so to help with miner book keeping and that community pressure towards transparency did not happen until later. And as shown by the roughly ~20% of unknown block creators on any given day, if a block maker wants to remain unknown, it is not hard to do so.
The other question this raises is that of terms of service. As noted above, since the Bitcoin network is a public good (no one owns it) there is no terms of service or end-user license agreement. Coupled with a bearer instrument and pseudonomity it is unclear why pools should feel obligated to refund a fee; Bitmain did not steal it and in fact, did nothing wrong. The user on the other hand made a mistake with a bearer instrument.
This type of altruism actually could set a nebulous precedent: once block rewards are reduced and fees begin to represent a larger percentage of miner revenue, it will no longer be an “easy” decision to “refund” the user. If Bitmain did not send a “refund” it would serve as a powerful warning to future users to try and not make mistakes.
In addition, why do elements in the community think that 85 BTC is considered refundable but are unconcerned with any fee sent above 0.0001 BTC (0.0001 BTC is considered the “default” fee to miners)? This seems arbitrary.
And this is a problem with public goods, there are few mechanisms besides social pressure and arbitrary decision making to ration resources. As described by David Evans, since miners are the sole labor force, they create the economic outputs (BTC) and security it is unclear why they are under any expectation to return fees.
This is probably not the last time this will occur.
Conclusion
Public goods are hard to fund as they typically fall victim to tragedy of the commons. And development, maintenance and security of Bitcoin is no exception.
While it did end up dominating the embedded systems space, despite similar rhetoric 20 years ago by passionate FOSS developers, Microsoft was not killed by Linux.2 Prophetic claims that desktop Linux would bankrupt incumbents and a GNU (and GPL “maximalism”) world order would take over the software industry never materialized: the fact of the matter is desktop Linux became a niche with no more than 1% of marketshare. Incidentally, some vocal promoters insisted each year, that 200X would be the year of mass adoption for desktop Linux (it even saw a funding boom-bust such as the VA Linux IPO).3
Instead, many of the ideas and libraries were forked and integrated by enterprises such as IBM into other organizations and institutions, such as banks. The only multi-billion dollar open source company that arose from this time period was Red Hat, yet even the inroads it made with Linux and FOSS is arguably overshadowed by the biggest kernel user: Android, another corporate sponsored “distro.”45
While past performance does not guarantee future results, IBM is once again back and has been looking into blockchain tech (through ADEPT), many of the major tech companies that arose in the ’90s (such as Amazon and Google) have payment solutions and customer usage of Bitcoin — like desktop Linux before it, despite enormous awareness and interest — still remains veryniche, perhaps roughly 300,000 that actually control a privkey.
Maybe this will change over time. Or maybe the buzz with this hot space will cool down in a few years and all the Young Turks will find something new to work on, leaving Bitcoin to fend for itself like Gnu Privacy Guard and many other forgotten public goods.6 Maybe they will move on to permissioned distributed ledgers which have known use-cases and customers, or maybe onto something else entirely.
According to L.M. Goodman, who created Tezos, a better example would be HTTP, not LAMP: “The value of distributed ledgers is in protocols and networks, not software or “stacks”.” [↩]
Linux certainly did change the infrastructure landscape. Embedded Linux now pretty much dominates inside many devices (e.g. routers, switches), while it also dominates much of the Internet server ecosystem. The key to both of these was that it solved very specific commercial problems; the adoption was frictionless. In embedded systems Linux was up against quite expensive proprietary RTOS and embedded OS designs. The smaller ones were not as feature rich, while the larger ones could not compete in markets where gross margins became very tight. In the server space commercial Unix and Windows servers had expensive OS software and Linux could run on smaller, resource constrained, systems very effectively. Early adopters could often get their hands on hardware but not the software and startups could readily tweak the software for special purposes. Now Linux dominates these spaces because it is actually really efficient for building things like network servers (they can run better on Linux in many cases). Thanks to Dave Hudson for this insight. [↩]
Google has purposefully avoided using almost all other Linux software and particularly GPL’d software. The entire application framework for Android is different than other distributions like Fedora. They only adopted the kernel possibly because of onerous GPL requirements. [↩]
Incidentally parts of Mac OS X are based off of FreeBSD. [↩]
The diagram above was created this past fall by Adam Ludwin, co-founder of Chain.com. Subsequently, there have been a variety of similar charts from others describing the flows in an easy-to-understand way. I think these are helpful and look forward to seeing more.
However, based on blockchain data, what do the specific flows look like?
After consulting with a number of industry experts, I constructed a rough, but more granular flow of funds based on actual user behavior. This is not to say that these trends or activities will stay the same, but rather this is a visual aid to better understanding where the supply and demand of both “coins” and fiat are within the current ecosystem.
Bitcoinland flow chart
The legend
The term “BTC” is in reference to unspent transaction outputs (UTXO), because “coins” do not actually exist1
The orange buckets and arrows involve mining farms, manufacturers and pools.
The brown buckets involve exchanges, ATMs, financial intermediaries, custodians and payment processors which have access to fiat (“early adopters” may also be on the sell side).
The green buckets represent fiat, this can be in the form of bank accounts or in the case of Localtrader, Localbitcoins.com, #bitcoin-otc (an IRC room) and “human” ATMs actual physical cash.
The champagne arrows involve the sale of BTC and block rewards.
The red arrows involve the purchase and buying of BTC.
The purple buckets and arrows involve illicit activity including darknet markets, scams, ransomeware, gambling, laundering and mixing of BTC.
The black arrows involve the sending of BTC to another hop or address.
And the blue buckets and arrows have no real commonality but are important in terms of the flow of funds.
Technically wallets do not exist at all, they are just a mental analogy to abstractly describe addresses as UTXO labels (not all wallets are “burner” as that would imply an increase in anonymity and requires knowledge of intent; they all can be effectively “temporary”).
In terms of mixing, certain altcoins are now a popular method for mixing. For instance, litecoin (LTC) is one of the most liquid altcoins. This typically looks like convert BTC at exchange A to LTC. Then send LTC to exchange B and convert back to BTC. Darkcoin (now called Dash) is another popular coin due to its specific “anonymity” features. See also ring signatures from Monero.
If a bitcoin is eventually deemed legally property, does this new flow chart imply that the current Bitcoin blockchain is a public, near-real-time record of contraband? Maybe not. Cryptocontraband would only really apply if you indeed were able to show the provenance of the property that you are talking about.2 For many of the use cases it is actually very difficult to show the provenance of individual currency units. Perhaps this will change in the future, no one knows.
What is observable? In addition to roughly 1 million bitcoins moving on a daily basis (more on that later), in the last four years we have seen several dozen high profile cases of individuals and companies whose bitcoins were lost, stolen or accidentally destroyed due to improper operational security. By one account there are more than a million bitcoins that are no longer with their legal owner.345 Consequently, in terms of venture funding, the 2nd largest vertical that has received funds over the past 18 months is hosted wallet companies (“depository institutions”) such as Xapo and Coinbase which provide cold storage (“vaults”) and some type of insurance.
What has been the motivation to do so? Because in practice, bearer assets are very hard to secure hence the reason for the emergence of banking intermediaries 500 years ago and again today in the era of virtual assets.
And this type of mercurial bearer ownership is not relegated to just the above-board economy. For instance, about 16 months ago Sheep Marketplace, a darknet market, was “hacked” and 96,000 bitcoins were stolen (this was worth around $40 million at the time). The purported owner of Sheep Marketplace was arrested last month. A month ago, another darknet market, Evolution, lost at least 43,000 bitcoins (~$10 million) after two of the administrators stole them.
At a combined valuation of $50 million, this is roughly what BitPay processed in 2014 once mining and precious metals are removed from itemization.6
What about the “ransomware” subheading, what is “ransomware”? It is a type of software, or malware precisely, that prevents users from using their computer unless the user pays the malware creator some kind of “ransom.” In this case, bitcoins.
“SecureWorks’ chart showing the correlation between Bitcoin’s price increases and the creation of new Bitcoin-targeting malware.” Source: Forbes
As noted in Chapter 12, while this type of malware has existed for several years, CryptoLocker itself stole nearly 42,000 bitcoins in the fall of 2013, thus signaling to market participants that this successful method of attack could be copied. And as shown by the chart above, there were as of February 2014, 146 different families of “Bitcoin-stealing malware.” According to Dell, during a six month time frame last year, “CryptoWall infected more than 625,000 computers worldwide, including 250,000 in the United States. During that time, the gang that operated CryptoWall raked in about $1 million in ransom payments.”
Currently hackers are targeting smaller and more marginal actors. For instance, last month the network for Swedesboro-Woolwich School District in New Jersey was held hostage for a 500 bitcoin ransom. And earlier this month, the Tewksbury Police Department system in Massachusetts became just one of many public organizations that has paid similar ransoms in bitcoin.
The case of the unknown volume
We know from public reports above of some on-chain activity, but not all.
Current total output volume is around 1 million bitcoins per day. That is to say that on any given day (over the past year), approximately 1 million bitcoins have moved somewhere on the blockchain. Knowing this and taking the categorization from Slicing Data, let us make a low, conservative assumption that 80% of the remaining volume is “change” being swept into change addresses, faucet outputs (a potential candidate for “long-chains”) and mining payouts.
And as established last week, we know that about $1,000,000 a day is from payment processing and above-board merchant activity, this amounts to less than 5,000 bitcoins per day.
Where is the rest of the volume coming from?
For instance, has the volume of Counterparty transactions increased?
As illustrated in the chart above, transaction volume for Counterparty has stayed roughly the same over the past 9 months or so. A typical transaction requires about 0.0001 BTC (as a watermark) and about 0.0001 fee to miners. Thus on any given day the total amount of bitcoins used by Counterparty is a handful, maybe even just 3 or 4 bitcoins.
As of this writing, about 8.63% of all bitcoins are stored using P2SH. And while the last several months have each seen more than 1 million bitcoins move into P2SH, this still does not tell the whole story because that is per month and not per day, which we are observing (e.g., roughly 100,000 or so bitcoins per day move into P2SH).
What else comprises this gap?
If actual transactions represent 20% of the total output volume, or 200,000 bitcoins, what else could fit the bill? Payment processors collectively would account for 2.5%, P2SH would account for 50% (although technically P2SH is not commercial activity), Counterparty less than 1%, gift cards less than 1%.
What about crowdsales? The largest one right occurring right now is Factom. Over the past three weeks approximately 2,180 transactions containing 1,955 bitcoins have been sent to the fundraising address; or about 104 transactions per day.
Now lets assume the international payments and remittance market is at least the same size as the merchant economy (it may be lower, based on anecdotally having talked to about 10 different exchanges overseas the past couple of months); so that is about another 5,000 bitcoins per day or 2.5%.
That means that we are still missing around 80,000 bitcoins per day if not more. And based on address clusters at WalletExplorer, a large portion appears to come from movement in between exchanges and hosted wallets, as well as gambling services and darknet markets.
Recall that at its height in the spring and summer of 2012, nearly half of all transaction volume on the Bitcoin network were related to SatoshiDice.7 Once it blocked US-based IP addresses, its popularity waned.
Over the past two years, since May 13, 2013, there have been 946,261 bitcoins worth of wagers at Primedice, or roughly 1,350 bitcoins per day.
The chart above visualizes the activity on Primedice since January 1, 2015 – April 18, 2015. Based on this cluser, there is is roughly as much transactional volume passing through Primedice as BitPay does each day.
A few other notable publicly known dice sites tracked by Dicesites:
Pocket Rocket Casino has about 440 bitcoins / day in wagers
BitDice has about 240 bitcoins / day in wagers
Dicenow has about 70 bitcoins / day in wagers
For perspective, prior to emptying its wallet (the first time), on its then-summer 2012 height, Silk Road’s public address contained 5% of all mined bitcoins at that point.8 In early November 2014, Operation Onymous — an international law enforcement action targeting darknet markets, closed down 414 sites. Left unaffected were several of the larger DNMs, including Agora, Evolution and Andromeda, each of which actively sell illicit wares denominated in bitcoin. Evolution, as noted above, suffered a large theft which will be looked at below.
Evolution DNM
Last week we looked at some charts from Coinalytics in relation to BitPay. Coinalytics specializes in building data intelligence tools to analyze activities on the blockchain. Using labels from WalletExplorer.com (which identifies reused addresses of a number of different services), the team was able to create visual aides covering Evolution.
Two things to keep in mind:
1) as a Swiss-based bot recently discovered, not everything sold on a DNM like Evolution are necessarily illegal (though a lot probably is)
2) we cannot have 100% confidence on the data since it may be missing some address clusters. For instance, last week, the 500,000 BitPay transactions identified by WalletExplorer were 10% less than what BitPay officially reported during the same time frame (2014). Thus, there may be a similar margin of error for the following data.
Evolution was officially launched on January 14, 2014 and its administrators pulled an “exit scam” with a large portion of the funds on March 18, 2015, effectively shutting down its operations.
The chart above visualizes the time period between January 16, 2014 – March 18, 2015. The average number of transactions per day was 1,004 and average bitcoins per day was 562. However, as shown in the chart above it was not until the fall of 2014 that Evolution hit its stride.
For the six months between September 18, 2014 – March 18, 2015 saw traction. During this time frame they processed 2,025 transactions and 1,260 bitcoins per day.
Another way of looking at that same trend is the comparison above: a log scale measuring the amount of bitcoins that both BitPay (in green) and Evolution (in red) received starting January 16, 2014. The drop off at the end in March 2015 is related to the exit scam that Evolution underwent (and the drop off for BitPay is related to a limitation in WalletExplorer’s data).
The log chart above measures the value of incoming market volume between BTC and USD.
In terms of USD, the average value sent to Evolution between March 18 2014 – March 18 2015 was $190,179 per day. As it achieved traction, between September 18 2014 – March 18, 2015 the average value sent was $353,669 per day.
For comparison recall that based on the stats released last week by BitPay, on average BitPay processed 1,544 transactions worth $435,068 per day in 2014.
The final chart above may be of interest to those wondering what the “exit scam” looked like in USD denominated value. The time frame above is between January 16, 2014 – March 18, 2015. As shown at the end, in March, the administrators “exited” with a large portion of coins valued at a range between $10-12 million USD (the full amount varies based on media outlet and is not fully captured in the chart above).
A question of ownership
Throughout this post the word “owner” has been used a few times. Why is this important when looking at economic activity and flows of funds?
In an exchange with Amor Sexton, an Australian attorney that represents cryptocurrency companies, she noted that:
It seems like the preferred legal approach in many jurisdictions is that bitcoin is a form of digital property, and not money. This means that bitcoin would lack the negotiability of money. It is an important distinction in light of the concerns about the volume of fraud and theft.
If the statistics are correct, a significant amount of people may not have good title to the bitcoin that they hold. Of course, this is all theoretical, as it is arguably nearly impossible to prove title to bitcoin and satisfy the nemo dat principle.
However, you can’t merely ignore the issue. The law doesn’t cease to exist because you ignore it. For example, as Pamela Morgan points out, when you build a website, you get a default font without needing to specify any font. If you want to change the font, you need to write code to change it. The law has default positions that are implied into every situation. To change the default position, you have to actively create a new position that takes precedence over the default position.
The default position for property (and bitcoin if it is deemed property) is that the nemo dat rule applies. Ignoring the problem doesn’t fix it. The only thing that can fix it is by creating a new default position – either by law (declaring bitcoin to have the same negotiability as fiat currency) or by private agreement.
Nemo dat (short for nemo dat quod non habet) boils down to clean titles. If you buy property from someone who does not have ownership right of the property, then the new purchaser does not have a legitimate title to this property (e.g., you cannot sell what is not yours).
Sexton is not the only practicing attorney with this view.
I spoke with Ryan Straus, an attorney at Riddell Williams in Seattle. According to him:
I think there is a great deal of confusion around the property/currency distinction. This confusion was magnified by FinCEN’s classification of Bitcoin as “virtual currency” for the purposes of the Bank Secrecy Act. Shortly after FinCEN’s March 2013 interpretive guidance, people started to use the term “digital currency” rather than “virtual currency.”9
Bitcoin is not currency in digital or virtual form. Rather, Bitcoin is virtually, or almost, currency. Why is this important? Currency can be thought of as property imbued, by the sovereign, with a special power. Specifically, the legal tender status of currency allows it to be transferred free and clear of, rather than subject to, all claims and defenses.
In other words, currency is the only unconditional exception to nemo dat quod non habet, or the general rule that one can never transfer a better interest than one has. There are other conditional exceptions to nemo dat that apply to certain types of property (goods, negotiable instruments and security entitlements) if certain conditions are met (property is transferred “for value” and in “good faith”). If Bitcoin is not currency and does not fit within one of the statutory exceptions to nemo dat, nemo dat applies. At this point in the conversation, the issue of fungibility inevitably comes up. However, fungibility isn’t a solution; it is merely an evidentiary issue.
The Financial Times, recently covered similar legal analysis by George Fogg, an attorney at Perkins Coie. According to Fogg, “under the United States’ UCC code (uniform commercial code) as long as bitcoins are treated as general intangibles, no high value investor can be sure that an angry Tony Soprano won’t show up one day to claim that the bitcoins they thought they received in a completely unencumbered manner are actually his.”
Based on this insight the Times noted that:
Indeed, given the high volume of fraud and default in the bitcoin network, chances are most bitcoins have competing claims over them by now. Put another way, there are probably more people with legitimate claims over bitcoins than there are bitcoins. And if they can prove the trail, they can make a legal case for reclamation.
This contrasts considerably with government cash. In the eyes of the UCC code, cash doesn’t take its claim history with it upon transfer. To the contrary, anyone who acquires cash starts off with a clean slate as far as previous claims are concerned. It is assumed, basically, that previous claims on cash are untraceable throughout the system. Though, liens it must be stressed can still be exercised over bank accounts or people.
According to Fogg there is currently only one way to mitigate this sort of outstanding bitcoin claim risk in the eyes of US law. Rather than treating cryptocurrency as a general intangible, Fogg argues, investors could transform bitcoins into financial assets in line with Article 8 of the UCC. By doing this bitcoins would be absolved from their cumbersome claim history.
The catch: the only way to do that is to deposit the bitcoin in a formal (a.k.a licensed) custodial or broker-dealer agent account.
Whether or not a court will agree with this view depends on the jurisdiction that future defendants/plaintiffs are located. US law seems pretty clear when it comes to property.
And as it is encoded today, there is no technical means for the Bitcoin network to enforce off-chain asset rights based on terms-of-service (smart contract or otherwise); although there may be technical methods for integrating a terms-of-service into contracts transacted on the network. However that is a topic for a different post.
Conclusions
As the Bitcoinland flow chart above showed, over the past six-and-nearly-a-half years, a visible division can now been seen between a KYC economy and non-KYC economy. And while readers will likely find different parts of interest, to me a few of the takeaways are:
In terms of activity, it is still difficult to tell what each category consumes specific amounts of transaction volume (e.g., “change” addresses, above-board merchant volume, gambling and so forth)
Where the fiat leakage is occurring, where people take bitcoins out of circulation and purchase them with dollars or euros; how will this change in the coming months?
The fact that value is actually being transferred: for all its warts some people still use it to transfer value often without intermediaries involved
Bitcoin and most other cryptocurrencies today, were intentionally designed not to interface with the current financial infrastructure. Satoshi Nakamoto purposefully designed the network so that on-chain activity would route around trusted third parties and this came at a capital intensive cost (e.g., proof-of-work). The decentralized, pseudonymous nature of these networks are a dual-edged sword: it provides advantages that can and will be used by both good and bad actors alike. It will be interesting to look again at how this flow chart evolves over the coming years.
Bitcoin network power usage from O’Dwyer and Malone
Future researchers may also be interested in breaking down the energy costs for maintaining each segment or bucket in the flows above.
For instance, last year O’Dwyer and Malone found that Bitcoin mining consumes roughly the same amount of energy as Ireland does annually. It is likely that their estimate was too high and based on Dave Hudson’s calculations closer to 10% of Ireland’s energy consumption.1011
Furthermore, it has likely declined since their study because, as previously explored in Appendix B, this scales in proportion with the value of the token which has declined over the past year.
The previous post looked at bitcoin payments processed by BitPay and found that as an aggregate the above-board activity on the Bitcoin network was likely around $350 million a year. Ireland’s nominal GDP is expected to reach around $252 billion this year. Thus, once Hudson’s estimates are integrated into it, above-board commercial bitcoin activity appears to be about two orders of magnitude less than what Ireland produces for the same amount of energy.
If this is the case, is there a way to determine how much energy is being consumed to transfer and secure: the KYC activities as well as the non-KYC’ed activities? One constraint to consider too for this research is that if it somehow becomes cheaper to secure the network, it is also cheaper to attack the network — and this can impact both currency and non-currency applications of the network.
[Thanks to Fabio Federici, Andrew Geyl (Organ of Corti), Dave Hudson, Jonathan Levin, Amor Sexton and Ryan Straus for their feedback and insights.]
The inability to enforce a contract and retrieve losses in the event of fraud is not just a challenge for Bitcoin, but other cryptocurrency systems such as Dogecoin. For instance, Dogeparty asset “DOGEDIGGERS” was used by someone mid-November 2014 to sell shares in their “mining operation.” The individual(s) behind it managed to extract a few million dogecoin before people caught on and started asking questions, identifying it as a scam and put an end to it — the social media sites that the scammers were using to make the scam look legitimate were taken down. Restitution, if there is any, will take place off-chain where contract enforcement actually exists. See also Meet Moolah, the company that has Dogecoin by the collar from The Daily Dot [↩]
While the verdict is still out on Mt. Gox, new data analysis suggests that hundreds of thousands of bitcoins were systematically stolen from Mt. Gox over a period of two years, many of which were sold on other exchanges including Mt. Gox. See The missing MtGox bitcoins from Wizsec [↩]
On May 4, 2012 Stephen Gornick calculated that of the 42,152 total transaction on the blockchain, 21,076 transactions were wagers related to Satoshi Dice. This volume doubled within four days, as Gornick posted an update that 94,706 total transactions on the blockchain, 47,353 were wagers. In September 2013, Rick Falkvinge made the following analogy: “Money in gambling – at least instant gambling – is not in a lockdown cycle and does not contribute to the minimum size of the money supply. This becomes important as we look at the different economies making up bitcoin today. There are about 11.7 million bitcoin in circulation today. Out of these, a staggering 2 million bitcoin are gambled every year on the SatoshiDice site alone, and another, PrimeDice, 1.5 million. To put these numbers in perspective, if translated to the global economy, it would mean that people bet the entire production of the USA at one single betting site, and the entire production of Europe on another. But as we have seen, these numbers do not contribute to the money supply pool in any meaningful way in a functioning economy.” See Bitcoin’s Vast Overvaluation Appears Partially Caused By (Usually) Illegal Price-Fixing by Rick Falkvinge [↩]
Additional calculations from Dave Hudson:
– Current Bitcoin network capacity: approximately 320 PH/s (320 x 10^15)
– Best case power efficiency (shipping today): approximately 0.5 J/GH (0.5 x 10^-9 J/H)
Likely power efficiency: approximately 1.0 J/GH (1 x 10^-9 J/H) = 2 x best case
– Best case power usage (sustained): 320 x 10^15 x 0.5 x 10^-9 = 160 x 10^6 W = 160 MW
Likely power efficiency: 160 x 2 = 320 MW
– Best case power usage per day: 160 x 24 = 3840 MWh = 3.84 GWh
Likely power usage per day: 320 x 24 = 7680 MWh = 7.68 GWh
– Best case power usage per year: 3.84 x 365 = 1401.6 GWh = 1.4 TWh
Likely power usage per year: 7.68 x 365 = 2803.2 GWh = 2.8 TWh
The best case example would represent the entire Bitcoin network using the best possible hardware and doesn’t account for any cooling or any other computers used in the Bitcoin network. As such it represents an impossible best version of a network of this size. The likely example is probably closer as there is older hardware still in use and most data centers need cooling of some sort.
The US Energy Information Administration estimated the US power generation capacity for 2012 at 1051 GW so the 320 MW number would represent 0.03% of the total electricity supply for the US. Assuming that we take the 320 MW figure then that would put Bitcoin at about 10% of Ireland’s electricity supply. [↩]
Two days ago BitPay, the largest payment processor in the cryptocurrency space, published a new infographic filled with a number of new stats.
BitPay claims that in 2014:
$158,800,000 total value processed (an increase from $107 million in 2013)
563,568 total number of transactions (an increase from 209,420 in 2013)
$281 average order value (a decline from $513 in 2013)
They also state that there is a reason for the decline in average order value:
This number is dropping as adoption increases and Bitcoin moves from an investment commodity to a payment method.
At best that is just a guess. While it is neat that BitPay is one of a very few companies in this space willing to publicly release some numbers, we cannot determine what the actual cause for this trend with the available information. Correlation (drop in prices or average order value) does not mean the real cause is payment adoption.
According to Jonathan Levin, head of business development at Chainalysis:
The fall in the average order value seems likely to be attributed to the increase in difficulty and the fall in the number of home miners.
Unless they publish weekly or monthly bar charts (which they used to), or what merchants are their largest by volume each week, it is unclear what could be skewing that number (e.g., large block sales from miners in 2013 and 2014?).
For instance, in December 2013, the chart below was published on the official BitPay blog (it has since been removed):
The spike in transactions during November 2013 is probably related to two things:
simultaneous run-up in prices during the contemporary bubble that early adopters / miners were likely able to capitalize off of by exiting positions
Are there any other numbers?
Above is the last known public chart of BitPay transaction volume. The dates on the chart corresponds with April 2013 – March 2014 and the image comes from the Cryptolina conference held in August 2014.
Although the quality is a little fuzzy, transaction volume appears to have reached around 70,000 in March 2014. Token prices during March ranged from approximately $450 – $650 which they likely weighted and multiplied by the total amount of bitcoins received each day to come up with a figure of $1 million processed each day (note: at the end of May 2014, BitPay announced it was processing $1 million in bitcoins a day).
Yet as we shall see, in terms of fiat transaction equivalent, there is less than half as much today as there was last year.
The chart above is part of the original BitPay infographic released on Wednesday.
In terms of transaction volume, bitcoin mining alone accounts for the next 4 largest segments combined. For those who believe this will change in the future, recall that if mining somehow becomes cheaper then it is also cheaper to attack the network. So as long as there are rents to be extracted, miners will continue to fight for and bid up the slivers of seigniorage up to where the marginal cost eventually reaches the marginal value of the token; and that translates into continuous streams of mining revenue (not necessarily economic profit) that are converted into fiat to pay for land, labor, taxes and electricity.
Furthemore, because bitcoin mining is not on the top 5 list of in terms of number of transactions this likely means that the miners that do use BitPay likely sell large blocks and are therefore large manufacturers or farms or both (and of those miners, most probably come from large entities such as BFL and KnC paying their utility bills).
The second chart to the right states that gift cards as a class represent the lion share for number of transactions processed. This is actually kind of humorous and unhumorous. What this means is that the majority of BitPay users (and probably bitcoin users in general) are not doing economic calculation in BTC (the unit of account) but instead some kind of fiat. And to do so, they are going through a Rube Goldberg-like process to convert bitcoins into fiat-based utility.
This is mostly borne out through a roundabout process such as bitcoins sent to Gyft -> Gamestop -> ShellCard (the gas company). Or Gyft->Amazon->Purse.io.
What are other motivations? Some users, based on social media posts, claim to do this in order to reduce identification (KYC) paper trails so taxes will not have to be declared and sometimes to take part in illicit trade (e.g., sell these gift cards at a discount for actual cash for illicit wares).
Based on their chart, roughly $345,000 of merchant activity is processed on a daily basis. Of that, $277,000 comes from precious metals and bitcoin mining. The remaining $68,000 is for unidentified e-commerce, IT services and travel. Or in other words, nearly 80% of bitcoins processed by BitPay in 2014 went to paying for security (mining) and buying (or selling) gold and silver.
As I have written about previously, that for roughly every $1 spent on security (via mining), there was roughly $1 spent on actual retail commerce which translates into a quantitatively (not qualitatively) oversecured network.1 But based on this new data: more capital is probably being spent securing the network than retail commerce by a factor of at least 2x.2
Recall that bitcoin mining represents just under half of all transaction volume processed by BitPay, and BitPay itself has about 1/3 to 1/2 of the global market share for payment processing, so it is probably a good sample size of world wide non-darkmarket “activity.”
What about others?
The second largest payment processor is Coinbase. And based on their self-reported transaction volume (below), the “off-chain” trend over the past year is similar to what BitPay processed:
As described in Wallet Growth, approximately six months ago, in October 2014, Brian Armstrong and Fred Ehrsam, co-founders of Coinbase, did a reddit AMA. At the 31:56 minute mark (video), Ehrsam discussed merchant flows:
One other thing I’ve had some people ask me IRL and I’ve seen on reddit occasionally too, is this concept of more merchants coming on board in bitcoin and that causing selling pressure, or the price to go down. [Coinbase is] one of the largest merchant processors, I really don’t think that is true. Well one, the volumes that merchants are processing aren’t negligible but they’re not super high especially when compared to people who are kind of buying and selling bitcoin. Like the trend is going in the right direction there but in absolute terms that’s still true. So I think that is largely a myth.
Perhaps those volumes will change, but according to the chart above, that does not appear to be the case.
And as discussed in Slicing Data, the noticeable pattern of higher activity on weekdays versus the weekend is apparent irrespective of holidays with Coinbase too. Consequently, on most days these self-reported numbers comprise between 3-5% of the total transactions on the Bitcoin blockchain. However, as Jonathan Levin, has pointed out, it is not clear from these numbers alone are or what they refer to: Coinbase user to user, user to merchant, and possible user wallet to user vault?
What does this mean for BitPay?
BitPay has three tiers of customer pricing. The first plan is free, the second charges $300 for the first month and the third is for enterprise clients. They claim that there are no transaction fees at all.
While they probably do sign up customers on their 2nd and 3rd tier, it is unclear how much. Speculatively it may not be very much due to the low transaction volumes overall (e.g., why would Microsoft pay more in customer service than they generate in actual revenue?). Thus their margins may be razor thin at ~1% which translates to roughly $1.5 million in annual revenue (it has to be below 2-3% otherwise merchants would not perceive an advantage for using their service). BitPay also charges (collects) a spread through a process called the BitPay Best Bid (BBB) rate.
Based on the current head count of between 70-100 people (9 were probably laid off after the “Bitbowl“), it may be the case that the revenue generated annually covers the labor costs for just one or two months. Perhaps this will change if prices rebound and/or if volume increases (recall that payment processors sometimes have to put coins on their books if they cannot find a counterparty to sell to in the time frame so in the likely event that BitPay holds coins on their books, they can gain or lose through forex movements).
On this point, four months ago I was involved in a mini-twitter debate with Jeff Garzik (a developer with BitPay) and Antonis Polemitis (an investor with Ledra Capital). It partially centered around some of the findings that Jorge Stolfi (a computer science professor in Brazil) posted the previous month regarding BitPay’s transaction volume.
As discussed on Twitter, their burn rate on labor — as in almost all startups — is most certainly higher than the revenue they generate. This should not be seen as “picking on BitPay” (because virtually every US-based VC-backed Bitcoin-related startup is in the same boat, see Buttercoin and probably ChangeTip) but they probably are not generating much additional revenue from “monthly SaaS subscriptions and payroll API customers.”
How do we know this? Again, why would Demandware pay more for a SaaS subscription than they generate via revenue? Altruism? Perhaps a few do (like NewEgg or TigerDirect) but even if 1,000 customers paid $300 a month, that is still just $300,000 a month far less than the $1 million (speculatively) needed to cover labor alone.
Clustering
I contacted Fabio Federici, co-founder of Coinalytics which specializes in building data intelligence tools to analyze activities on the blockchain. Using data from WalletExplorer.com (which identifies reused addresses of payment processors, pools, gambling services and such), his team was able to create visual aides covering BitPay.
It bears mentioning that there is a ~10% discrepancy between the WalletExplorer numbers and BitPay and this is likely a result of the clustering heuristic (by WalletExplorer) which will not give 100% coverage and is not dishonesty from BitPay (e.g., WalletExplorer data set identifies just over 600,000 transactions last year whereas BitPay cites roughly 650,000 transactions).
The time frame for the chart above takes place between July 2, 2011 and April 13, 2015. The chart visualizes the Daily Number of Transactions. The green line is the important line as it represents the incoming transaction amount that BitPay receives each day. It shows that aside from a brief outlier in the winter of 2014, volume has remained relatively flat at around 1,200 – 1,500 transactions per day for the past 15 months.The time frame for the log chart above is slightly shorter, between January 1, 2013 and February 28, 2015 (there is a strange drop starting in March that is likely a problem with the clustering heuristic, so it was removed). The chart visualizes the Daily Volume of bitcoin that BitPay receives. The green line is the important line as it represents the aggregate of how many bitcoins BitPay received each day. While there are some days where the total reaches to 8,000 or even 9,000 bitcoins, these are outliers. Conversely some slower days reach around 500 bitcoins per day. On average, between January 1, 2013 and February 28, 2015, the daily amount is 1,138 bitcoins.
Other specific ranges:
Average February 2013 – February 2015 = 1,209 bitcoins daily
Average February 2014 – February 2015 = 850 bitcoins daily
One explanation for the discrepancy is that there is a large incoming transaction of 28,790 bitcoins on March 25, 2013 which skews the average in the first date range. It the same day that the Cyprus international bailout was announced. While this coincides with the ‘bull run’ in the spring of 2013, it is unclear from public data what this one sale may have been. Looking at some other charts, at around that date roughly 52,694,515 bitcoin days were destroyed (BDD) and total output volume (TOV) was around 4 million (which is about 4x higher than today). During this time frame fees to miners were also about 3x-4x higher than they are today. And on this specific day, 159 bitcoins in fees were sent to miners, the fifth highest total ever. While speculative it could have been an “early adopter” or even a company overseas cashing out (market price was around $73.60 per bitcoin on March 25, 2013).
The log chart above visualizes the daily number of transactions for BitPay between January 1, 2013 and February 28, 2015. The interesting phenomenon is the flip that occurred in the fall of 2014. Whereas previously the number of outgoing transactions exceeded the internally held coins, in late September this appears to have changed. It is unclear what the reason(s) for this is. Perhaps more merchants decided to keep coins instead of exchanging for fiat. Or perhaps due to the continued price decline, BitPay had to hold more coins on their balance sheet due to the inability to liquidate merchant requests fast enough (e.g., between August 1 – November 1, market prices declined from around $558 to $336 per bitcoin).
Other noticeable phenomenon on the green line above include a rapid run-up during the collapse of Mt. Gox in February 2014 and then later Bitcoin Black Friday followed by Cyber Monday in November 2014.
Why are there recognizable patterns for the green line in all of the charts? Again, since the bulk of payments are related to mining, it is likely that miners sell blocks on a regular basis. Denominated in USD, when paired up with bitcoin volume between February 2013 and February 2015, the plot would likely look like a left-modal bell curve.
Perspectives and conclusions
On average BitPay processed 1,544 transactions worth $435,068 per day in 2014. Once mining and precious metals are removed, the BitPay “economy” involves $57.5 million per year. Even if the full amount, $158 million, were classified as actual economic activity, it is less money than what Harvard Business School generates from selling case studies each year (~$200 million) or roughly the same amount that the University of Texas athletic department generates each year.
If Coinbase and the rest of the bitcoin-to-fiat merchant economy sees similar patterns of activity, that would mean that above-board economic “activity” may currently hover around $350 million a year. This is just slightly more than venture capital was invested in the Bitcoin space last year (~$315 million) and roughly equivalent to the fund that Lux Capital raised last month for funding science-related startups. For comparison, Guatemalan’s working abroad remitted more than $500 million back to their families in one month alone last year.
In terms of payments the competitive landscape for Bitcoinland is not just other cryptocurrencies but also incumbent payment providers and tech companies such as Google, Apple, Facebook and Microsoft (the latter has been collecting money transmitter licenses), each of which has launched or is planning to launch an integrated payments system. Startups such as Venmo and Square, both of which were launched the same year as Bitcoin, have seen some actual traction. For instance, in the forth quarter of 2014 Venmo payment volume came in just over $900 million, up from $700 million processed in the third quarter (Square Cash claims to have an annualized volume run rate of $1 billion).
And although it is not a completely fair comparison, Second Life from Linden Lab is still around “with 900,000 active users a month, who get payouts of $60 million in real-world money every year” (note: there is somedebateover specific user numbers).
When mining payments are removed, Bitcoin, as an above-board economy, appears to generate less in return than the venture capital funds have gone into it (so far). Perhaps this will change as more of the capital is deployed but it may be the case that Bitcoinland cannot securely grow exponentially (as the bullish narrative envisions) while maintaining a fixed amount of outputs.
In his recent conversation with International Business Times, Wouter Vonk, BitPay’s European marketing manager, described the trends from the infographic, stating:
As bitcoin becomes a more established technology, we expect to see more consumers using it. The investors are usually the first ones to hop on new technology, but as bitcoin circulates more, and as the amount of transactions increases, we should see bitcoin being used by more and more average consumers. We see bitcoin being used in emerging markets as a supplement to the current banking and monetary systems. Bitcoin breaks down the barriers to financial tools that many people in emerging countries are facing.
Empirically, regarding “more consumer using it,” this does not seem to be true. Nor is there evidence that bitcoin is circulating “more” — in fact, based on age of last use, more than 70% of coins have not moved in more than 6 months (slightly older figure). And while cryptocurrencies may play a role in developing countries, so far there is little evidence this is actually occurring beyond talk at conferences. Again, perhaps this will change as new data could reinforce Vonk’s narrative, but so far that is notthe case.
For perspective I contacted Dave Hudson, proprietor of HashingIt, a leading network analysis site. According to him:
One thing that I did notice is that their earlier “incoming” graphs all look highly correlated to the transaction volume in the Bitcoin network after long chains are removed. This gets back to the usual Bitcoin transaction volume question of what’s really in a transaction and what’s change? It seems their transaction volumes have really only crept up in the last 12 months, much slower than the rate of growth in transactions (or non-long-chain transactions) on the main network (increased competition?).
What are long chains again? Rather than rehashing the entire paper, recall that in Slicing Data, it was observed that a significant fraction of total transaction volume on any given day was likely inflated through a variety of sources such as faucets, coin mixing and gambling.
As we can see above, while there is indeed an upward trend line over the past two years, it is clearly not growing exponentially but rather linearly, and particularly in spurts around “macro” events (e.g., bubble in late 2013 and collapse of Mt. Gox).
Based on the public data from address clustering, consumer adoption is empirically not growing near the same level as merchant adoption. In fact, consumer adoption in terms of actual non-mining, retail-usage, has basically plateaued over the past year. We know this is the case since merchants accepting bitcoin for payments has roughly quintupled over the same time frame (20,000 to 100,000) and includes several large marquis (such as Microsoft) yet without any surge in usage by bitcoin owners in aggregate.
Other companies that have actively promoted bitcoin for payments have likely also been impacted by sluggish sales.
For instance, in February 2015, Overstock.com (which has been using Coinbase as a payment processor for over a year) tried to obfuscate weak traction by using a strange method: measuring orders per 1 million residents.
The top 3 were:
New Hampshire has a population of 1,326,813 and according to the chart above Overstock received 131 bitcoin orders per million residents. This comes out to roughly 175 orders in 2014.
Utah has a population of 2,949,902 and according to the chart, Overstock received 89 bitcoin orders per million residents. This comes out to roughly 270 orders in 2014.
Washington D.C. has a population of 658,893 and according tot he chart above Overstock received 85 bitcoin orders per million residents. This comes out to roughly 56 orders in 2014 (although if the greater D.C. metro population was used, the order number would be about 9x larger).
Fighting for last place: Puerto Rico trounced Mississippi, which came in dead last. Puerto Rico has a population of 3,667,084 and according to the report, Overstock received 12 bitcoin orders per million residents. This comes out to about 44 orders in 2014. In comparison, Mississippi, with a population of 2,994,079 had 8 order per million residents. This comes to about 24 orders.
According to Overstock, in 2014 approximately 11,100 customers paid with bitcoin at both its US and international websites. Altogether this represented roughly $3 million in sales which when coupled with low margin products (based on the top 10 list of things sold on Overstock) is an initiative that Stone Street Advisors labeled “distracting” (see slides 21, 32, 33, 37, 58).
In addition, since gift cards represent about 16% of all transactions processed by BitPay, they can be added to the list of non-negligible reasons for fluctuation in blockchain transaction volume. That is to say, on any given day there are roughly 242 gift card related transactions through BitPay which should appears on the blockchain. This is about the same amount of Counterparty transactions that may take place on a slow day.
Thus, as discussed in Slicing Data, the daily components of blockchain transactions are likely: faucet outputs (which may be “long chains”), mining rewards, some retail activity, coin mixing, gambling, watermarked assets (e.g., Counterparty, Mastercoin), P2SH, movement to ‘change’ addresses, wallet shuffling and now gift cards.
While their new infographic does not come to any direct conclusions as to macro growth of Bitcoinland it is likely that there are still only a few profitable businesses and projects in the ecosystem and most are unrelated to Bitcoin itself:
Fabrication plants such as TSMC and designers like Alchip
Utility companies (hydroelectric dams in Washington, coal power plants in Inner Mongolia)
Large mining farms with access to the newest ASIC batches reducing overall operating costs relative to marginal players (Bitfury in the Republic of Georgia)
Some mining pools (Organ sometimes has a break down of block makers)
Botnet operators (botnet mining still exists, externalizing operating costs with “other people’s electricity”)
Ransomeware (CryptoLocker, KEYHolder, CryptoWall and a few dozen others)
Darknet Markets (Evolution “exit,” Sheep Marketplace “hack“; some low-hanging fruit exists for academics studying operators and providers that transitioned from Liberty Reserve to other DNMs, after it was shut down 2 years ago)
Perhaps all of this will change and this snapshot is “too early” as the bullish narrative claims. Trends may change, no one has a crystal ball.
[Special thanks to CukeKing, Fabio Federici, Dave Hudson, Jonathan Levin and Pete Rizzo for their feedback and info]
In Chapter 14 in The Anatomy: “If the labor force of bitcoin is spending $10 million on protecting the network yet real commerce is only $30 million, this would be equivalent to a mall issuing 1 out of 3 customers a personal security detail to go shopping. Or in other words it is, arguably, quantitatively oversecure (it is not qualitatively trustless as shown by the trifecta of DeepBit, BTC Guild and GHash.io).” [↩]
I have spent the past month compiling research that took place between August and the present day. This was much more of a collaborative process than my previous publications as I had to talk with not just 8 geographically dispersed teams to find out what their approach was in this nascent field but also find out who is working on ideas that are closely related to these projects (as seen in Appendix A).
Fortunately I had the help of not just astute practitioners in the industry who did the intellectual heavy lifting, but the resources and experience of the R3 CEV team where I am an advisor.
I think the three strongest areas are:
Richard Brown’s and Jo Lang’s description and visualization of smart contracts. I loathe the term smart contracts (I prefer “banana” and Preston Byrne prefers “marmot”) and fortunately they distilled it to a level where many professionals can probably begin to understand it
Meher Roy’s excellent OSI-model for an “internet of money”
Robert Sams mental model of the core attributes of a permissioned distributed ledger
I think the weakest part is in the beginning of Section 8 regarding TCP/IP. That is reflective of the fact that there is no perfect analogy because Bitcoin was designed to do many things that no other system does right now so there probably is no single apple’s to apple’s comparison.
While you do not need special internetcoins or fun buxx to use the internet (as it were), there is still a cost to someone to connect to the net. So perhaps, the frictional differences between obtaining and securing an internet connection versus obtaining and securing a bitcoin at this time is probably something that should be highlighted more if the report is updated.
Wither Bitcoin?
For cryptocurrencies such as Bitcoin to do what it does best on its own terms, its competitive advantage lays with the native token and not representing real-world assets: its community needs to come to terms about what it is and is not good for. Because of its inability to control off-chain assets its developers should stop promising that bitcoins — or metacoins and watermarked-coins that use Bitcoin as a transportation layer — as a panacea for managing off-chain assets, assets the network cannot control. At most Bitcoin’s code base and node network operates as its own legal system for non-watermarked bitcoins.
Consequently, the advantage a cryptocurrency system has is endogenous enforcement of contractual terms — or as Taulant Ramabaja calls it: “fully blockchain endogenous state transition without any external dependencies.” Or on-chain, dry code to dry code.
I wonder if someone in the future will call themselves a full “dry code” stack developer?
A couple days ago, on Monday, I was on a panel hosted at Stanford University as part of the “Blockchain Global Impact” conference. The panel covered remittances, unbanked residents and financial inclusion.
Below is a presentation I put together based on research for Melotic, for SKBI in Singapore and in preparation for the panel.