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 literature review was originally included in a new paper but needed to be removed for space and flow considerations]
How has previous research looked at information security?
Academic literature covering distributed computing and economics of information security and specifically peer-to-peer networks “Before Bitcoin” spans several decades.
Surveying literature (Lua et al. 2004; Hoffman et al. 2007; Momani and Challa 2009) we can see that there have been dozens of attempts to create decentralized peer-to-peer reputation systems that needed to be self-organizing, Sybil-resistant and fault tolerant.1
For instance, the Content Addressable Network (CAN), Chord, Kademlia and the Cooperative File System (CFS) each had a variety of characteristics that attempted to stave off abuse from attackers due to the environments they operated in (e.g., a distributed decentralized P2P infrastructure). Some used public-private key pairs, content hashes and others used NodeID.
These surveys also looked at Distributed Hash Trees (DHT) which have been known to be vulnerable to a number of attacks including Eclipse attacks, where the peering network itself comes under attack (which Bitcoin’s network is also prone to).2
What about other game theory issues? For example in (Lua et al., 2004) the authors wrote that:3
The ability to overcome free-rider problems in P2P overlay networks will definitely improve the system’s reliability and its value.
Sybil attacked termed by Douceur4 described the situation whereby there are a large number of potentially malicious peers in the system and without a central authority to certify peers’ identities. It becomes very difficult to trust the claimed identity. Dingledine et al.,5 proposes puzzles schemes, including the use of micro-cash, which allows peers to build up reputations. Although this proposal provides a degree of accountability, this still allows a resourceful attacker to launch attacks.
This is the same problem discussed above, that (Rosenfeld 2012) runs into regarding how to pay nodes on an open network.
How do these researchers believe it could be solved or fixed? According to (Lua et al., 2004):6
Having some sort of incentive model using economic and game theories, for P2P peers to collaborate is crucial to create an economy of equilibrium. When non-cooperative users benefit from free-riding on others’ resources, the tragedy of the commons7 is inevitable. Such incentives implementation in P2P overlay services would also provide a certain level of self-regulatory auditing and accounting behavior for resource sharing.
As shown above, despite rhetoric at Bitcoin-related conferences, many of the challenges facing Bitcoin today are in fact known problems facing decentralized peer-to-peer networks in general. The problem space for preventing Sybil attacks was and is relatively well-defined, Bitcoin again side-steps the actual solution by making it economically expensive, but not technically impossible to conduct history-reversing attacks, or even Sybil attacks on the gossip network.
P2Prep is a reputation system designed to “mitigate the effects of selfish and malicious peers in an anonymous, completely decentralized system.”8
How did it do this?
The system guards the anonymity of users and the integrity of packets through the use of public key cryptography. All replies are signed using the requester’s public key, protecting the identity of the responder and the integrity of the data. Only the requester is able to decrypt the packet and check the validity of the information.9
Credence (Walsh and Sirer 2006) is another peer-to-peer reputation system that uses gossip-based techniques to disseminate information.10 It defends itself:11
A key security consideration in the Credence system is the use of mechanisms to prevent spoofed votes or votes generated by fake identities. The system guards against such attacks by issuing digital certificates in an anonymous but semi-controlled fashion. The authors propose to mitigate Sybil attacks by requiring expensive computation on the part of the client before the server grants a new digital certificate. Every voting statement is digitally signed by the originator and anyone can cryptographically verify the authenticity of any given voting statement.
In (Momani and Challa 2010) the authors looked at security and trust concepts surrounding wireless sensor networks (WSN). At first glance this may seem unrelated to peer-to-peer networks but there are many similarities:12
The security issue has been raised by many researchers [14 – 24], and, due to the deployment of WSN nodes in hazardous and/or hostile areas in large numbers, such deployment forces the nodes to be of low cost and therefore less reliable or more prone to overtaking by an adversary force. Some methods used, such as cryptographic authentication and other mechanisms [25 – 32], do not entirely solve the problem. For example, adversarial nodes can have access to valid cryptographic keys to access other nodes in the network. The reliability issue is certainly not addressed when sensor nodes are subject to system faults. These two sources of problems, system faults and erroneous data or bad routing by malicious nodes, can result in the total breakdown of a network and cryptography by itself is insufficient to solve these problems. So new tools from different domains social sciences, statistics, e-commerce and others should be integrated with cryptography to completely solve the unique security attacks in WSNs, such as node capturing, Sybil attacks, denial of service attacks, etc.
In their survey they identified previous research that had looked at some of these same issues including In (Xiong and Liu 2003) where the authors attempted to build a reputation-based trust model for peer-to-peer distributed commerce platforms and use game theory to ameliorate the trust parameters by threats from malicious attacks.13
Going back more than fifteen years we can see that other researchers (Lamport 1998) and (Castro and Liskov 1999), that successful attempts were made to “use cryptographic techniques to prevent spoofing and replays and to detect corrupted messages” on a network that replicates services in the face of Byzantine faults.14
Volumes more can and will likely be written covering the research on these specific topics due in large part to the integral role that different types of information and financial networks play in the lives of consumers and businesses alike.
J. R. Douceur, “The sybil attack,” in Proceedings of the First International Workshop on Peer-to-Peer Systems , March 7-8 2002, pp. 251– 260. [↩]
R. Dingledine, M. J. Freedman, and D. Molnar, “Accountability measures for peer-to-peer systems,” in Peer-to-Peer: Harnessing the Power of Disruptive Technologies , D. Derickson, Ed. O’Reilly and Associates, November. [↩]
G. Hardin, “The tragedy of the commons,” Science , vol. 162, pp. 1243– 1248, 1968. [↩]
A Survey and Comparison of Peer-to-Peer Overlay Network Schemes by Lua et al., p. 28. Among other startups, Mnet was a peer-to-peer distributed data store, whose (former) employees would go on to help create BitTorrent and Tahoe-LAFS. This was during the same survey period. [↩]
Practical Byzantine Fault Tolerance by Miguel Castro and Barbara Liskov. According to Leslie Lamport, in The Part-Time Parliament, p. 23: “The Paxon Parliament protocol provides a distributed, fault-tolerant imiplmentation of the database system.” [↩]
[Note: Below is a guest post from Ernie Teo, a post-doctorate researcher at SKBI (where I am currently a visiting research fellow). It is referenced in a new paper covering the distorted incentives for securing public blockchains.]
Integrating, Mining and Attacking: Analyzing the Colored Coin “Game”
By Ernie G. S. Teo, Sim Kee Boon Institute for Financial Economics,
Singapore Management University
The research in this post came about when Tim Swanson invited me to look at colored coin providers and their incentives from a game theory perspective. The results are based on a number of phone conversations with Tim; I would like to take the opportunity to thank Tim for his insights on the matter. For an introduction to what colored coins are, refer to Chapter 3 in Great Chain of Numbers.
The initial question Tim wanted to know was if colored coins can be identified will miners charge excessively high fees to include these transactions. The led to a discussion of the possibilities of the colored coin issuer becoming a miner; and of an attack on the network to take control of the colored assets.
The problem proved to be very interesting as there could be many implications on the success of the system given the potential costs and benefits. Entities or players within the “game” could strategically choose to sabotage themselves if the incentives were right. In this post, I will attempt to explain this using a “sequential game” format. I will explain the various stages where choices can be made and the players involved in each stage. This will be followed by an analysis of the various outcomes and the strategic choices of each party given the incentives involved.
Before we start, I would like to disclaim that the model that follows is a simplified version of the problem and helps us to think about the potential issues that could arise. They are based on various assumptions and in no way should the results be taken at face value.
Stage 1: Before the colored coin issuer (CCI) starts operations, we assume that they will consider if they will choose to become a miner (Assuming that they can include their own transactions into blocks if no one else would). The decision maker (or player) here is the CCI, the choices available are to integrate or to not integrate.
Stage 2a: When the CCI starts issuing colored coins, it would have to decide on the fees it would pay for the transaction. We assume that the CCI is a rational entity and will choose the optimal fees. However as there are two possibilities in stage 1, there will be 2 possible fees quoted; one for a CCI whom is also a miner (integrated) and another for a CCI whom is not a miner (non-integrated). The decision maker here is the CCI and the choice is the fee quoted.
Stage 2b: This is immediately followed by the miners deciding to include the transaction in the block or not. For simplicity’s sake, we assume that there is only one miner in this game (this can be the CCI). The decision maker here is the miner and the choice is to mine the transaction or not.
If the decision in Stage 2b is not to mine, the game ends (End 1).
Stage 3: We next assume that the miner can choose to fraudulently attack the system and transfers the colored coin to itself. The decision maker here is still the miner and the choice is to attack or not.
This gives us 2 alternative endings (End 2 and End 3). The game can be described by Figure 1.
Figure 1: The stages of the “game”
If we consider the game, there are only 2 decision makers or players: The CCI and the miner. Next, we consider what are the possible outcomes or payoffs for each possible ending described above. This is described in Figure 2 below, there are actually 6 possibilities as there are 2 types of CCIs, integrated and non-integrated. When there is integration, there is really only one player.
Figure 2: Payoffs of the game
Having setup the game and determined the payoffs, we analyze the possibilities of each outcome. This is subject to the comparative magnitude of each payoff. Let’s start with the non-integrated outcomes, there are 3 possibilities:
Not Integrated. Mined. Attacked.
Not Integrated. Mined. Not Attacked.
Not Integrated. Not Mined.
An attack happens if M3>M2 (this will happen if the net benefit of the attack is positive).
If M3>M2, the transaction will be mined if M3>M1. This is because the miner expects the attack to take place, the miner will thus only mine the transaction if it the payoff from mining and attacking is better than not mining. Since we assumed that M1=0, M3 will be always larger than M1. Thus When M3>M2, mining always takes place and an attack happens.
If M2>M3, the attack will not happen (this would indicate that the net benefits of the attack is negative). The transaction will be mined if M2>M1 or if the transaction fees are positive.
The transaction will not be mined if M1≥M2. Since M2 (the transaction fee) has to be at least zero, if M2=0, the transaction will not be mined.
To summarize, there are 3 scenarios:
M3>M2≥M1: The transaction is mined and an attack takes place. The CCI gets CC3NI.
M2>M3 and M2>M1: The transaction is mined and an attack will not take place. Note that the inequality between M1 and M3 does not matter for this outcome. The CCI gets CC2NI.
M1≥M2>M3: The transaction is not mined. The CCI gets CC1NI.
In stage 1, the CCI is making the decision to integrate. To analyze this, we need to compare the non-integrated outcomes with the integrated ones. We thus have to look at the integrated outcomes first before we discuss stage 1. The outcomes are:
Mined. Attacked.
Mined. Not Attacked.
Not Mined.
An attack happens if CC3I>CC2I. (This again will happen if the net benefit of the attack is positive).
If CC3I>CC2I, mining will occur if CC3I>CC1I. Similar to the non-integrated case, CC3I is always larger than CC1I . In fact this case is stronger as CC1I is at most zero and is likely to be negative as it is a cost. Thus if the CCI is willing to launch an attack against itself, it will definitely mine the transaction.
If CC2I>CC3I, no attack happens. For mining to occur, CC2I≥CC1I (the CCI will prefer to mine if they are indifferent). CC2I will always be larger than CC1I unless mining fees are zero (in which case it is equal), mining will always occur if CC2I>CC3I.
For mining to not occur, CC1I>CC2I or CC1I>CC3I needs to hold. To summarize, there are 3 scenarios:
CC3I>CC2I and CC3I>CC1I: The transaction will be mined and an attack occurs. CC3I is the final payoff.
CC2I>CC3I and CC2I>CC1I: The transaction is mined and no attack happens. CC2I is the final payoff.
CC1I>CC3I (we had determined that CC1I>CC2I could not be possible): No mining occurs. CC1I is the final payoff.
Note that we have determined that mining will always occur if the CCI chooses to integrate. Thus there are only 2 relevant scenarios instead of the 3 found in the non-integrated case. The main assumption is that the CCI miner will be able to get its transaction included on the blockchain; this could be either because it is the only miner or it has invested in sufficient computing resources to ensure it.
There are a total of 9 combinations of events detailed in Figure 3. Figure 3 also shows the conditions required for integration to occur under each scenario.
Figure 3: Analyzing the Integration Choice.
Figure 2: Payoffs of the game
Referring back to figure 2, we can make the following assumptions:
CC1NI is always larger than CC1I
CC2NI is always larger than CC2I
CC2NI is always larger than CC1I
Thus the 3 inequalities highlighted in red in Figure 4 are never possible, no integration will occur in scenario B+E, B+F and C+F.
In the other 6 scenarios, integration could occur given the right conditions. We can make some predictions on what is likely to occur.
In all scenarios with event A (A+D, A+E and A+F) where the non-integrated miner attacks, it is likely that the CCI prefers to integrate.
In scenario B+D, there are two possibilities. If the cost of attack is large, the CCI will not integrate. Otherwise, it will integrate and reap the benefits of launching an attack on itself.
When event C occurs and no integration takes place, the transaction will not be mined and the CCI gets nothing. Integration will thus occur as long as the cost of integration is small enough. This will be relevant for scenario C+D and C+E as we has ruled out C+F earlier.
One may ask if the CCI would want to attack itself. Well, if the benefit of attacking is large, a colored coin issuer may want to attack the network to derive a onetime benefit even though the company will never be trusted afterwards. However, this is unlikely as the cost of integration has to be extremely large for the CCI to be able to successfully attack the network.
Finally to answer our initial question, let us consider the issue of whether a non-integrated miner (in the event that a colored coin transaction can be identified) will force the CCI to quote high fees in order to get the transaction included. This is only relevant in the scenarios where the CCI initially chooses not to integrate. However, if colored transactions can be identified, miners can choose not to include these transactions unless the transaction fees are high enough. The fee can only be so high that it does not force the CCI to choose integration instead. In general, we can say that this fee cannot be higher than the cost of integration (this would refer to the per transaction cost of integration on average).
Based on this “game”, will colored coins be able to exist on a network such as Bitcoin? If colored transactions can be identified, there could be 2 issues. 1. The colored assets are so valuable that the non-integrated miner would want to attack the system, 2. The fees do not incentivized non-integrated miners to include the transactions. To overcome these issues the CCI could chose to integrate (or become a miner with sufficient computing power to be able to ensure that its transactions gets recorded). However, if the cost of doing so is too high to be justifiable, the CCI is better off not operating at all.
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.
Note: I manually typed the quotes from the book, all transcription errors are my own and should not reflect on the book itself. See my other book reviews.
Introduction
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.co 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?
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.
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 could 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.”
“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:
in practice, many consumers are not sensitive enough to a few percentage savings because of brand trust/loyalty/habit;
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;
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?”
“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 like 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.
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?).
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.
that 3% is broken down and paid to a variety of other participants not just Visa or MasterCard.
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” per se on the Visa network. At the time of this writing 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.
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. [↩]
Over the past month we have seen nominal transaction volume on the Bitcoin network reach several all-time highs. Enthusiasts on social media have proposed any number of theories including a rise in retail payments or commercial volume.
Yet upon further inspection, there does not appear to be a silver bullet answer.
We know, for example, that these transactions can originate or be comprised of faucet outputs, mining rewards, coin mixing, gambling, movement to ‘change’ addresses and simple wallet shuffling. 1 So with this type of identification problem, how can analysts distinguish the signal from the noise? Or as Peter Todd and others explained last month, for a few hundred dollars a day, it is possible to inflate the transaction volume by an entire order of magnitude.2
For instance, questions have arisen over a series of what some call “long chains.” Last month several commentators on a popular thread on Hacker News identified thousands of small transactions originating from a single source.3 The source was continually sending transactions and paid transaction fees for each of them. The reason this struck many as odd as a rational actor would simply bundle the transactions together to save on transaction fees.
While there are likely different motivations for doing so, one reason for why this was occurring was that the originating source was attempting to delink or otherwise mix and tumble coins to make it difficult to “dox” or identify the originating source. But it could also be a faucet and at one point even pools paid out miners using chained transactions, perhaps some still do.
What does this look like? Below is a chart created by user “FatalLogic” in that thread:
Source: Hacker News
The green line identifies the overall transaction volume on the Bitcoin blockchain, whereas the red line follows the rule, the heuristic that removes these “long chains.”
Is there a definition of long chains?
Two weeks ago Blockchain.info published several similar charts excluding “Long Chains.”
According to Jonathan Levin, formerly of Coinometrics:4
Blockchain.info have implemented a heuristic to identify high velocity activity that is probably unrelated to real world commerce. Every day the internal counter resets and counts how many times transaction outputs were spent on the same day. So if a wallet paid someone 1 btc in one transaction output and they then transferred that to cold storage that would be a chain of two. However there are some chains where the chain of spent outputs of a given day exceeds 1000. Each day, on average, the sample size is 144 blocks. Therefore, for chains of more than 144, the chain of transactions involve zero confirmation transactions (i.e., are not relying on the blockchain for their security). In other words, it is a measure of velocity.
These long chains show that there are some parts of the economy that are flipping outputs almost 10 times a block with chains of over 1000 in a day. This may not relate to real world commerce or security processes, probably more likely to be gambling or mixing. In Satoshi Dice often the bettor just takes their winnings and gambles again with everything being done with 0 confirmations. Likewise with mixing there is little need to wait for confirmations and the priority is obscuring the origin of the transaction outputs. Finally this is unlikely to capture a lot of activity run by the centralised services since their objective is fee minimisation.
Furthermore, according to the description on Blockchain.info’s site, “A chart showing the total number of bitcoin transactions per day excluding those part of long chain transaction chains. There are many legitimate reasons to create long transaction chains however they may also be caused by coin mixing or possible attempts to manipulate transaction volume.”
The first chart below is the original unmodified chart of total transactions on the Bitcoin blockchain:5
Using the same Y-o-Y time frame, below is the newly modified chart, using the Blockchain.info heuristic that removes these “chains” longer than 10:6
As we can tell above, by removing these “long chains” the volume decreases by 3x, yet there does appear to be an upward trend over the past several months.
I spoke with Atif Nazir, the CEO and co-founder of Block.io. In his view:7
The term “longest chain” is vague – it would be misleading to say it is just coin mixing. The volume could be a series of transactions where the user cannot spend to the desired destinations in the same transaction. This could be a limitation of their wallet software’s user interface, or the backend of the software itself.
For instance, if a faucet is built on Block.io, the owner spends coins rapidly, sometimes breaking them into a couple transactions if they are efficient, and at other times into hundreds of transactions that spend unconfirmed change in rapid succession. We have seen chains of unconfirmed spends as long as 1,000 transactions, and they could be longer if blocks are not found.
In general, achieving provable privacy through coin mixing and coin shuffling is hard as long as you stay on the same Blockchain. With the current methods, you can look at a destination address and say, with some certainty, “hey, this guy is the one who stole the Bitstamp coins.”8
In the absence of a definite, no-non-sense way to look at “long chains” of transactions, the safest assumption would be to consider them as unconfirmed chain spends, where the user wants to spend transactions very quickly deliberately or due to their software’s limitation.
Another potential source is even smaller.
For instance, Sidney Zhang, co-founder of HelloBlock has noticed that:9
Another interesting thing is people are sending dust transactions on the network as advertisements for high-yield investment program (HYIP).10
This transaction, 92aa, is an example of an ad (and the message was removed by blockchain.info).11
What they do is they will look for transactions happening on the blockchain, pick a collection of addresses and then send 1 satoshi to them and then they will attach a “public note” on blockchain.info. The message is normally like earn 7% per day at xyz.com. The public note in this case was removed, probably reported as spam
The second, 1cca, is an example of a faucet. If you look at the tag “win free bitcoins every hour!” it is the address for freebitco.in.12
It is unlikely the long chains come directly from consumers because consumers don’t spend money rapidly.
A more likely scenario is it is a ‘shared’ hot wallet operated by a service (e.g., Coinbase, Circle). A possible explanation then emerges – off-chain gambling sites such as Primedice / Moneypot / Betcoin casino and others operate hot wallets.
In terms of scale, very small casinos may receive approximately 30+ deposits a day. A larger casino easily operate with 1000s of deposits a day and hundreds of withdrawals.
One interesting behavior is that, bitcoin gamblers never keep funds in a casino. They tend to deposit, play and then immediately withdraw without leaving funds there overnight. That could create a huge amount of activities from the same hot wallet. Thus creating a large chain.
Last year Ken Shirriff also pointed out a few of the notable pieces of “spam” that permanently reside on the blockchain including images.13
What does this look like altogether?
For additional analysis I reached out to Organ of Corti who plotted out these differences onto two different charts.14
As shown above, these match up with the heuristic used by the original Hacker News post as well as that of Blockchain.info. In Organ’s view:
If long chains of transactions are used by entities of a very different nature to single transactions or short chains of transactions, then we might expect to see differences in transaction rates and transaction rate cycles between the short and long chain groups.
Starting with a visual comparison of the two groups, the most significant difference between the longer and shorter chain groups is variance. This is to be expected since one long chain of transactions increases transactions rates more than a single, unchained transaction.
Does the yellow line at the bottom represent the actual “real” volume? Perhaps, but maybe not.
In addition, Organ put together a spectrogram to analyze this weekly cycle that is visually apparent in all the charts:
Another way to look at it is through a spectral density chart, according to him:
Perhaps a more useful test is to check for periodicity in the data. We know from previous work that currently transactions show a daily and a weekly cycle. I’m using Blockchain.info’s data which is daily, so a spectrogram will only reveal a weekly cycle.
The last plot shows the spectrograms for chains longer and shorter than 10, 100, 1000, or 10000. These show a periodicity similar to that for all transactions of one cycle per week.
We can also compare transaction of chains longer and shorter than 10, 100, 1000, or 10000 by calculating the cross correlation function. In each case the maximum correlation is at lag 0 and is much higher than the upper bound of the 99.9 confidence interval, so the periodicity of the transaction rates of each group (chains longer and shorter than 10, 100, 1000, or 10000) are similar to, also suggesting that time of use for shorter and longer chain transactions are similar.
Further, time series decomposition showed the same starting and finishing days of each weekly cycle.
I think that a working week cycle implies that the larger number uses of longer chain transactions are from businesses with a normal working week, and the correlation in the periodicity of the shorter and longer chains of transactions suggests the largest use of both longer and shorter chains of transactions are by entities with a work days and weekends.
Is there anything that explains the increase then?
Other sources
Earlier this month a new game called SaruTobi was approved for inclusion into the iOS store.15 The game tips its users bitcoin on the blockchain (in contrast, ChangeTip does so off-chain). During its debut week, before running out of coins, according to its first public address, SaruTobi sent out more than 5,000 transactions most of which during an 11-hour time period.16Within its first two weeks it paid out roughly 6.4 bitcoins with more than 50,000 transactions.17
Another continual source of on-chain usage comes from Counterparty, a “2.0” platform that effectively sits on top of the Bitcoin blockchain and uses bitcoins for each counterparty transaction (e.g., it is an embedded consensus mechanism). Below is a visual of the daily transaction volume over the past year:18
Source: Blockscan.com
The variation follows some of the daily (and weekend) patterns we have observed with Bitcoin in general (e.g., less activity on “Sundays”) but at certain days and times there are peak usages of up to 3% of the Bitcoin network.19 One explanation is that Counterparty is a popular platform for issuing tokens during crowdsales. For instance, the double peaks in December are most likely related to the Gems crowdsale, in which 2,633 BTC were exchanged for 38 million “GEMZ” (the native coin of the Gems system).20
As I briefly described last month, over the past year, a BitcoinTalk user, “dexX7” has been parsing other data, usually related to alt platforms such as Counterparty, Mastercoin, Colored coins and proof of existence.21 Recall that these ‘altcoins’ are actually in practice, just watermarked bitcoin transactions. In order to use these platforms, a user has to interact with the Bitcoin network (e.g., they are embedded consensus mechanisms). Below is a chart he recently sent me that dissects this composed parts:22
Data captured at block height 340,018
There were at least 184,155 identifiable meta-transactions
There were 57,489,982 transactions in total
There were 16,511,696 unspent outputs
This only includes the transactions dexX7 was able to identify. Counterparty, Mastercoin and Chancecoin use almost entirely “bare multisig” scripts as medium to embed and transport data. In contrast, Proof of Existence, Open Assets, Coinspark and Block Sign use OP_RETURN (note: there is still an active discussion between using 40 bytes and 80 bytes).23 Open Assets and Coinspark are a type of colored coin implementation and both Proof of Existence and Block Sign are a type of notary service (previous charts are available in an album view).24
Some other analysis from dexX7:
Almost all Counterparty transactions carry data via bare multisig and there are about 5000 non-multisig Mastercoin transactions. There are furthermore 17620 unclassified, unspent multisig outputs and 6286 unclassified, spent multisig outputs.
Almost all of those unclassified multisig outputs were created by Wikileaks and actually carry some data too.25
Proof of Existence, Open Assets, Coin Spark and Block Sign account for 7363 OP_RETURN transactions. The total number of all OP_RETURN outputs, according to webbtc.com, is close to 11960, so more than 60 % can be mapped to those four.
Another slice of daily and weekly transactional volume comes from pay-to-script-hash, better known as P2SH. This was originally BIP 16 proposed by Gavin Andresen and incorporated into the protocol in 2012 to “let a spender create a pubkey script containing a hash of a second script, the redeem script.”26
Source: P2SH.info
This has replaced ‘bare’ multisig as a means for securing bitcoins. While its use and adoption started off very slow, more than 6% of all bitcoins are now stored in this manner including Bitstamp via its recent integration with BitGo:27
What about retail volume?
As has become apparent, it cannot be said that an increase in transaction volume is (probably) due to any one specific variable. Yet, according to a popular narrative, the quadrupling of acceptance by merchants this past year (from ~20,000 to 82,000), may have led to increased spending by consumers and therefore account for the increase.28
Last month, Jorge Stolfi a computer science professor in Brazil analyzed the BitPay addresses (BitPay reuses addresses) based on the Walletexplorer dataset.29 Below is a visual of what BitPay has received over the past two years.
According to Stolfi:
The green line on this graph shows the number of BTC deposited each day into that wallet.30 This graph is rather strange since the number is practically constant since January 2013, about 500–1000 BTC/day, and shows no weekly pattern. And no Black Friday spike either.
In his analysis Stolfi also noticed two different types of orders processed by BitPay, what he labels “wholesale” versus “retail.” The “wholesale” coins are likely miners selling their block rewards in bulk whereas “retail” is consumer behavior (e.g., buying coffee, food, tickets).
Furthermore, if this wallet heuristic is valid, according to Stolfi:
BitPay now processes about 1000-1500 “retail” payments per day, averaging less than 1 BTC each;
The number of retail transactions processed by BitPay has grown 3x since mid-2013, and has been flat through most of 2014;
The amount of BTC processed by BitPay (including “retail” and “wholesale” payments) has been quite constant since Jan/2013, about 500-1000 BTC/day
In terms of dollar value, the amount processed by BitPay (including “retail” and “wholesale” payments) has increased a lot from 2013 to 2014, but has fallen 50% or more since February, as the BTC price fell.
Black Friday had a modest effect (2x to 3x) on the number of “retail” payments, but had no effect on the total BTC/day (which is dominated by the “wholesale” payments).
And what about off-chain retail transactions?
Below is a public chart from Coinbase that visualizes the off-chain activity that takes place on Coinbase’s platform.31
Source: Coinbase.com
The noticeable pattern of higher activity on weekdays versus the weekend is apparent irrespective of holidays. 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?
Fees
Another way of looking at whether or not transaction volume is increasing is through the “fees” to miner metric (recall that these are not real “fees” as they are not mandatory yet and may be more akin to “donations”).32 Maybe transaction volume based on the methods above does not fully capture hypothesized growth.
Above is a new chart from Organ of Corti which visualizes the transaction fees included with each block over the past 6 years.33 If on-chain retail commerce was increasing, it would likely in turn be paid for via some fee mechanism yet this is not apparent. This is not to say that utility has not increased for certain participants. Volume as a whole has clearly increased as shown by the second image – yet these are users who likely opt to send a fee-less transaction to the mempool (these transactions typically take several hours or perhaps a day to be included within a block).
What is another explanation?
It does illustrate that the other narrative – that fees replacing block rewards – has not yet begun to occur. Maybe it will not.
For instance, last year Robert Sams and Vitalik Buterin highlighted the economic costs that are being overlooked to maintain the infrastructure, that fees would unlikely be able to adequately compensate miners.34 And Dave Hudson independently explored what has actually occurred in practice, providing visualizations of the empirical data that highlights and reinforces their marginalized viewpoint.35
To put it another way, if more users were actively using the blockchain to transmit value, then it would likely be apparent via an aggregate increase in fees.
Source: HashingIt.com
As shown above during a four year time span, miners, the actual labor force of the network, are not seeing the narrative play out as it is supposed to (block reward plus fees to miner). Denominated in bitcoin (the blue line), miners have not seen the increase in fees or revenue that many of the same social media promoters claim will happen. Whether this changes is unknown.
Again, recall the current narrative that in the end, transaction fees will purportedly replace the block reward.36 But the causality is the opposite direction than assumed by most: fees people are willing to pay determine the number of miners. Not the other way around. The takeaway is that simply put, fees may not rise to cover the current block reward amounts. It may be that the block reward falls and miners just drop out and net transaction fees never increase reducing the security of the network but this is a topic for another article.
What does this all mean?
For perspective I spoke with Ernie Teo, a research fellow at the Sim Kee Boon Institute for Financial Economics (which hosted a cryptocurrency conference in November).37According to his team:
We observe similar trends to what has been mentioned in your article. We see a large increase in the one satoshi (or less) addresses over time. This could also be due to the long chain “spammer” you have described above. A few more things we can note from our upcoming analysis on the distribution of bitcoins over time:
50 coin addresses, these are the only addresses in the very beginning due there being only miners on the network. However we see that this does not fluctuate a lot overtime and it indicates that most miners tend to cash out once they mined.
Large increase in number of addresses with less than 1 bitcoin. This indicates more “retail” type buyers.
Not much change or fluctuations to the large addresses.
I think it is probably true that not a very large proportion of the transactions are retail transactions. In the long run, it doesn’t help the network. We can only wait for the next big innovative app that can boost retail-type usage.
How else can this be visualized?
John Ratcliff recently published several new charts describing “the State of the Blockchain Address(es)“ in which he delves into token movements and in particular “zombie” addresses (addresses that have not been active in 3 or more years).38 They are illuminating and we both disagree on conclusions that can be drawn from them.
For instance, he updated one chart that I previously described as showing more than 70% of coins have not moved in more than 6 months:39
Source: John Ratcliff
What does the chart above illustrate? If it is velocity then what the color bands reinforce my explanation from two months ago: that the majority of coin holders that were purchased in the November / December 2013 bubble are now underwater.40 We see the transition over the year, in which these coin holders, rather than spending and realizing a loss, hold on to them throughout the months. Hence, why we likely see another uptick to an “older” band starting in mid-November 2014 – the anniversary of the beginning of the most recent bubble.
This explanation is further reinforced by the demographics of bitcoin holders: mostly middle to upper-middle class residents of developed countries – most of whom have “low time preference” (e.g., speculators) and therefore do not need or want to spend bitcoins immediately because they have other means of payment (e.g., credit cards) and can therefore hold onto their coins longer than someone with “higher time preference” (e.g., less affluent individuals living paycheck to paycheck who in theory would have to continually, immediately spend bitcoins). Another potential explanation is the disposition effect, but this is also a topic for a different article.41
The chart above (originally Figure 15) was published this past month by two researchers at the Federal Reserve.42 They independently used a similar methodology that Ratcliff has undertaken. In their view:
Figure 15 examines the degree of activity for the addresses in the network. For each date we partition the volume of addresses with positive balances according to their last activity. For example, the addresses that have transacted in the last week are likely to be frequently used (shown with the strip in the bottom). On the other hand, some of the addresses have not been active in the past 52 weeks. Those are likely to serve saving or investment purposes and much less so for transacting. From Figure 15 we can see that the volume of “investment” addresses (not used in the last year) has been steadily decreasing. Still, however, around 75 percent of the addresses in operation with positive balances have not been used in a transaction in the last four months.
While the rest of their report is illuminating, in their concluding remarks, they also do not see retail transactions as comprising more than a marginal amount of volume:
Broadly speaking, our empirical exercise documents general patterns of Bitcoin usage, and examines the use of Bitcoin for investment and payment purposes. We find that while the number of daily users may have doubled every eight months, the transaction volume is negligible compared to the domestic volume of U.S. payment systems. Our analysis of data from the Bitcoin system further suggests that Bitcoin is still barely used for payments for goods and services. In addition, the patterns of circulations of bitcoins and the dynamics of the bitcoin exchange rate are consistent with low usage of Bitcoin for retail payment transactions. Finally, we provide evidence that the exchange rates between bitcoin and other currencies are not well aligned, which we interpret as a lack of depth of the exchange markets and as costly exchange rather than unexploited arbitrage opportunities.
Perhaps these trends will change. Maybe, as some claim, retail volume will increase. But as shown above and through Total Output Volume we know what the maximum “purchasing power volume” of transactions is, this has not been a mystery.43
While merchant adoption continues to increase, consumer adoption for retail purchases appears to be flat (as shown by both BitPay and Coinbase numbers). Future analysis may need to look at correlating these trends for brick and mortar merchants. Without regular use at the register and point-of-sale, there are a number of anecdotal stories of retraining and fumbling that will go on with floor employees with respect to accepting bitcoin.44
Perhaps again, this will change in the future (e.g. Impulse),45 but going forward a full traffic analysis such as the type created by Sarah Meiklejohn et al. two years ago would help the industry as a whole determine what consumer behavior looks like with greater accuracy.46 And this is important for a project whose white paper promotes itself as a payment network for online commerce (see section 1).
So what conclusions can be drawn from this?
As noted at the beginning, there does not appear to be one specific variable that explains the recent increases over the past several months. For example, most tipping from services like Bitui in China and ChangeTip internationally, is already done off-chain (e.g., the independent site ‘ChangeTip stats’ describes activity on the company database).47SaruTobi is too new to account for all but the last few weeks of growth and DarkWallet activity will likely be “long chain” related. Perhaps offline P2P transactions from OpenBazaar should be identified, aggregated and brought into future analysis.48
Future analysis should also look to factor in or filter out activity related to “change” addresses. For instance, the short-term ‘velocity’ seen in the daily and weekly bands of Ratcliff and Badev & Chen’s charts could be overstated due to coins which do not actually swap hands but are rather “spent” to themselves due to how “change” is handled by the protocol. Furthermore, as has been described in Dave Hudson’s modeling of block sizes, it cannot be said that an increase in on-chain volume is axiomatically “good.”49
All we can say for now is that there is an increase in usage from multiple sources, but not likely from on-chain retail commerce which has remained flat for about a year.
This is still a dynamic space and perhaps it may be months or even years before we will be able to fully identify all the major contributors to volume changes.
Acknowledgements
Special thanks to dexX7, Raffael Danielli, Michael Dann, Dave Hudson, David Lancashire, TM Lee, Jonathan Levin, Atif Nazir, Organ of Corti, Jorge Stolfi, Ernie Teo and Sidney Zhang for their constructive feedback and time.
At its peak in the first quarter of 2013, Satoshi Dice (a gambling service) represented roughly 48% of all transactions on the Bitcoin network. This is visualized by dexX7. [↩]
After several weeks of editing, I have finished compiling all of my previous research from this past spring into a new book. It also includes a considerable amount of new content as well.
It is all available for free in PDF and Scribd formats (there is also a Kindle version).
Earlier tonight I gave a presentation at Hacker Dojo with the Ethereum project. I would like to thank Chris Peel and Joel Dietz for organizing it. Below is a video and accompanying slide deck. In addition to the footnotes in the PPT, I recommend looking at the wiki on smart contracts and Nick Szabo’s writings (123).
Also, some quotes regarding synthetic assets in Szabos’ work:
Citation 1: “Another area that might be considered in smart contract terms is synthetic assets[5]. These new securities are formed by combining securities (such as bonds) and derivatives (options and futures) in a wide variety of ways.”
Citation 2: “Creating synthetic assets or combinations that mimic the financial functionality of some other contract while avoiding its legal limitations”
Citation 3: “Reference to Perry H. Beaumont, Fixed Income Synthetic Assets”
There is no simple clear-cut answer for everyone. As you will find out, each market segment is different from the next. Each faces a wide variety of domestic competition and regulatory hurdles. Throughout each chapter I attempt to do cursory due diligence by looking at current market statistics and use anecdotal stories to illustrate both the opportunities and challenges of setting up shop on the mainland. Along the way you will hear the experiences and opinions from a number of experts through a variety of tapped and untapped revenue sources.
For example, Jim Chanos, founder of Kynikos Associates, is a New-York based hedge fund manager and short seller. Among other cautionary tales, over the past several years he has repeated one particular story about China. A story of two American men, who spoke Chinese, made the right connections, did their due diligence and yet barely got out of China with their shirts still on.1
His is a shrewd and important tale – a twist of caveat venditor. And despite their acumen this kind of harrowing story can arguably happen anywhere. Moreover just like the US muddled on despite the 2008 financial purges and Ponzi schemes such as Bernie Madoff’s, so too will China lumber on irrespective of its booms, busts, frauds and scandals. This is not to say there will not be large purges of misallocated, unproductive assets. As Ludwig von Mises might have said, a priori you can never buck market calculation and market corrections.2 Yet this is not to say the Chinese industrialization story will collapse or meltdown either.
A potential market for revenue generation
With more than 1.35 billion people, China is the most populous country in the world and will remain so for at least another 15 years.3
Yet just because there is a large potential market does not mean you can magically sell a $1 cup of coffee to everyone and instantly become nouveau rich. Or as one of my sarcastic students told me years ago: in China, if you scam everyone in the country just once, you can become a billionaire. More to the point, as Matt Garner discusses in his forthcoming book on marketing in China, the domestic home shopping industry has been filled with these types of cons and frauds (e.g., buying a gold brick – as seen on TV – yet receiving a flimsy cardboard cut-out in the mail).4 And as I discuss later in Chapter 3, consumers are becoming increasingly savvy and vigilant to such get-rich-quick scams.
So how big is the actual market for goods and services? Following Deng Xiaoping’s “reform and opening up” in late 1978, GDP has grown from approximately $10 billion to over $8 trillion. At the same time, one estimate shows that consumer spending as a percent of GDP has fallen from 50% to just under 35% over the past 15 years; yet a newly revised government report suggests the number may be much higher at 55% and another estimate is even higher at 65%.5 Either way, there are still growth opportunities if you know where to look and are willing to take risks. After all, 35% of $8 trillion is still much larger than 65% of $1 trillion let alone $10 billion.
What does this mean for Western companies, your company? The US is the 2nd largest exporter and according to the Economics & Statistics Administration exports reached a record $2.1 trillion in 2011.6 In fact, according to BusinessWeek and Bureau of Economic Analysis, September 2012 was another record month for exports, hitting $187 billion.7 Overall exports rose an additional 4.4% in 2012.8 Yet despite the fact that as of 2012, roughly 95.5% of all potential customers (e.g., world population sans the US) and 67% of all purchasing power reside outside of the US, relatively few US firms currently export.9
Moreover, as I discuss later in Chapter 7 according to the US Department of Commerce, as of 2010 in terms of US Small & Medium Enterprises (SME):10
Only 1% of US SMEs export
And only 10% of those that export, export to China
There are a number of reasons for relatively low participation including nebulous legal frameworks. But it is also surprising because despite the readily accessible markets made available due to standardized shipping container sizes, liberalized trade agreements, ISO certifications resulting in ‘best practices’ and overall streamlining of supply chains, merchants across the globe – and in the US – have never had it easier than today.11
Yet if you are reading this, odds are your company does not export either. In fact, depending on the source, up to 95% of US firms simply do not even have an international market strategy.
More to the point, on top of the approximately 30,000 SMEs that do export to China, typically only the top 500 US firms generate significant sales outside of the US. Why do you and your company not export? As you will find out, your brand is probably considered a step-above locally made goods and services. In fact, as I note later in Chapter 4 and Chapter 11, luxury goods and services are one increasingly large source of income for US firms like Howard Johnson hotels and Coach handbags – both of whom have taken advantage of the local market perception that “foreign” is better quality. Similarly, in Chapter 16 I also discuss how fast-food chains like KFC and Starbucks use a number of logistical and perception strategies and now generate more revenue in China than anywhere outside the US. Can your company do the same?
In December 2012 I spoke with Kirt Greenburg, then-director of the SME center at the American Chamber of Commerce in Shanghai.12 According to Greenburg, “one of the reasons that there are statistically few SMEs that export is because the US has such a large domestic market capable of sustaining a large pool of local competitors fueled solely by domestic trade thus US SMEs can usually grow quite large just by focusing on North America. And coupled with obstacles such as known regulations and fears of unknown hurdles, this has prevented many SMEs from looking at ways to export. Yet there are enormous opportunities in China as it is still a large growth market.”
There are also a large number of resources and support networks. For instance, “there are several SME centers at other Chambers including the EU and New Zealand that provide open research, business connections and even resources to aggregate and leverage databases from both governments and NGOs. For example, the SBA program offers a $10,000 grant to US SMEs to ‘go and explore’ in China. Yet few people, including myself until recently, even knew this type of program exists. Many SME centers, including ours, also includes both manpower and physical space to help enable entrepreneurs and businesspeople to utilize our knowledge and business connections throughout the day. In fact, our SME center really could be described as a marketplace for ‘best practices’ and ideas in general.” Later in Chapter 15 and 20 I detail some of the other subsidies and perks that some Chinese municipalities and trade zones offer to foreign firms, specifically software and engineering companies.
In terms of why there is a relatively low percentage of SMEs that export, Greenburg noted that, “anecdotally it can be a laborious task to find domestic partners, domestic customers and domestic vendors that you can immediately trust on the mainland. Vetting a partner can take a long time because there is no Better Business Report or D&B report. Yet through the Foreign Commercial Service, this task may become relatively easier in the future. Furthermore, one of the reasons why there may only be 1% of SMEs that export in general is that there are a large amount of SMEs in the US and other countries that do not have an easily exportable service, such as one-on-one consultations at dentist offices, barbershops or music lessons.”13
This absence of independent business monitoring may present an opportunity for foreign firms that specialize in business forensics and customer reporting to provide similar services on the mainland.
This is not to say that in a role reversal, exporting products to the US is any easier. For example, Greenburg thinks “regulations for foreign firms exporting to the US would probably be just as problematic in some cases as they are in China. Furthermore, most commerce in the US is actually conducted at the state-level, which requires additional legal knowledge just as it does at the provincial level in China. Yet, one of the issues that SMEs – both foreign and domestic – have to take into consideration on the mainland is the grey regulations that vary from city to city. Whereas there is an income tax levied by the federal government on all US citizens regardless of location, in China, municipalities have considerable leeway and flexibility to implement national laws. For example, last year a new social security tax on foreign workers was passed at the national level in Beijing, yet the Shanghai municipality and many others have not begun levying the tax yet.” On a national level this specific law went into effect on October 15, 2011; I discuss tax issues later in Chapter 10.14
Market access
According to the US Department of Commerce, 91% of world GDP (sans the US) is generated by countries with whom the US does not currently have a Free Trade Agreements (FTA) with, yet FTA countries alone represent 41% of total US exports.15 While there is currently no China-US free trade agreement, there have been numerous bilateral agreements reducing trade duties and restrictions.1617 Furthermore, US firms have invested more FDI into China than any other developing country this decade and the two countries (sometimes referred to as Chimerica or G2), with $446.7 billion in bilateral trade in 2011, are among each other’s largest trading partners.18
After Canada and Mexico, China is the 3rd largest destination for US exports. In 2011, US exports to China hit a new record of $105.3 billion. Among the largest products that US firms collectively exported were agricultural, as I discuss later in Chapter 3 (in 2011, China imported $20 billion in US agricultural products). And due to the domestic demand for safe and reliable products, Chinese consumers are increasingly turning to imported products (also discussed in Chapter 3). Thus even if you have not looked at the market, there are still untapped opportunities on the mainland, including sports consulting (Chapter 8), software development (Chapter 13) and entertainment (Chapter 14).
Big hurdles
Towards the end of the book I describe at length some of the bigger macro hurdles that foreign and domestic firms will face on the mainland. There are specific industries that will be more difficult to operate in than others. For example, at a national level Chinese policy makers consider roughly a dozen areas to be key strategic industries.19
This includes Energy, Media, Telecommunications, Railways and Finance. As a consequence the national government attempts to foster and nurture domestic firms at the expense of international and foreign competition. All told there are roughly 110,000 to 150,000 state-owned enterprises (SOEs) supported and managed by townships, cities, provinces and nationally within China (down from 1.2 million in 1995).2021 They contribute to roughly 62% of the annual GDP.22
In addition, roughly 100 SOEs such as China Mobile, Xinhua and Sinopec are afforded the equivalent of VIP status, granted financial priorities and regulatory leeway.
Yet even within these government champions are opportunities for outside, international participation. While most Fortune 500 multi-national companies have permanently established a presence on the mainland, there is still ample room for foreign SME’s and consulting firms to participate in a bevy of other industries such as education, social media, athletics and even in government procurement. In fact, in 2011, government procurement amounted to about $179 billion.23 And following a series of reforms, foreign firms are now permitted to bid on government procurement projects. With that said, China is currently not a signatory to the World Trade Organization (WTO) Agreement on Government Procurement (GPA).24
So if you are a bidder in a procurement project, be cognizant and aware that you will be unable to make a case and petition the WTO in the event that issues arise.25
With a $8.28 trillion economy, despite a seemingly Byzantine regulatory climate, capturing even a small portion of market share means there may be opportunities and rewards for those creative and enterprising enough to locate them.26 As I note later in Chapter 5 and Chapter 10, policy uncertainties and hurdles will create challenges for both foreign and domestic companies.
For example, China Securities Regulatory Commission (CSRC) – the equivalent of the SEC – routinely compels a dozen or more SOEs to prop up the stock market, to prevent the Shanghai stock index from falling below 2000; which it momentarily did for the first time in four years in November 2012.2728 While this revelation is neither new nor proprietary it creates a dilemma for investors who are “more concerned with the decisions of regulators than the valuation of companies.”29 This would be akin to refocusing on (and lobbying) referees at a sport event rather than the actual game.
Another requirement for nearly all imported goods is obtaining the CCC or China Compulsory Certificate. This mandatory CCC mark, which typically takes 4-8 months to receive, is administered by the Certificate and Accreditation Administration, which maintains a list of products that are required to meet this certification process.3031 Failure to obtain and complete the application ends with a denial of market entry. Another issue is proper labeling and packaging. For example, beginning April 2013, all imported medical devices will be required to have packages and labels written in Chinese. Failure to do so will again prevent the manufacturer and sponsor from being able to market their products on the mainland.32
Taxes and duties are another issue that is sometimes overlooked. The General Administration of Customs (海关总署) periodically revises a list of products and their corresponding tariff rates. For example, as of April 15, 2012, while some goods are taxed at 10% (e.g., food, beverages, leather garments, furniture), others are levied up to 50% (e.g., cosmetics, tobacco, alcoholic beverages) and still others such as luxury goods are charged a 60% tax rate.33 In some cases if you import goods worth less than 5,000 yuan ($800) then you may not have to pay a tax on them.34 One personal anecdote involves sending jewelry (gold and diamonds) from the US to China via FedEx in December 2011. The jewelry was held up in customs at Shanghai’s Pudong airport because of import restrictions; I was required to pay a duty tax due to its value exceeding the 5,000 yuan limit. And as I note later in Chapter 11, it is these types of taxes which incentivize Chinese consumers to travel overseas to buy goods which can then be claimed as “personal belongings” upon return, thus removing tax liabilities and saving money. There are also 15 special economic zones (经济特区) also called free-trade zones that are allowed to set their own import regulations and duties and as a consequence are relatively popular for establishing joint-ventures and foreign trade operations.3536 In addition to areas such as Shanghai’s Waigaoqiao and Ningbo’s free trade area, these zones also include the special administrative regions (SAR) of Hong Kong and Macau and are credited for the subsequent economic booms in each of the mainly coastal cities.
Another nebulous challenge which varies from location to location is transaction costs involving government and quasi-governmental support and approval.37 In some industries in order to start-up a business you may not only have to acquire businesses licenses but also directly work with governmental bodies to set up operations. In some instances you may even need to have a government policy and market policy, or in other words, you need to have resources and labor to interface with policy makers as well as with market participants. There is no set generalized rule about these transaction costs and thus discussing these issues with a lawyer is highly recommended since the Foreign Corrupt Practices Act (FCPA) and UK Bribery Act are both actively enforced (see Chapter 10).
Yet despite all of these known hurdles (more of which are discussed in later chapters), and what your due diligence may discover, there still may be a profitable case for doing business on the mainland. Failure to do so, your firm could follow the unfortunate footsteps of Caterpillar, who recently took a $580 million write-down at a subsidiary that acquired a Hong Kong listed firm (ERA Mining) off an acquisition price of $654 million.3839
Yet for perspective, China is the world’s largest car market, the largest motorcycle market, the largest smartphone market, the largest art selling market, the largest online game market, the largest population of online shoppers and even the largest gambling market.40 How large are these potential markets? For instance, in 2009, China surpassed the US as the largest vehicle market globally and approximately 19.3 million automobiles were sold in China in 2012.41 By 2015 it is estimated that the Chinese car market will be larger than the US, Japan and Germany combined.424344 And by 2016, McKinsey & Company – a global management consulting company – estimates that China will surpass the US as top luxury car market.45 There are now 240 million vehicles on the mainland and 20 million more vehicles will be sold this year.46 Furthermore, according to Michael Dunne, an Asian-based car market consultant, “[of] the projected 2.3 million American-branded cars Chinese will buy this year [2012], an astonishing 96% will be made in China.”47 And this growth rate has largely occurred in less than a decade. For example, in 2004, the market for Land Rover vehicles on the mainland was a mere 1% yet has subsequently surged to 20% of Land Rovers total sales last year.4849 There have been similar growth rates in other areas. For instance, with 290 million smartphone owners, this market itself is expected to double in size within the next year.50 Can you provide goods and services within these segments?
Local fluctuations
One term you may see throughout the book is the yuan (renminbi or RMB) which is the name of the currency in China. As of March 2013 approximately 6.22 RMB was equal to $1 USD. How often does this fluctuate? In the first half of 2012 it depreciated by almost 1.5% but in October 2012 it gained back .75%. While all major currencies in the Post-Bretton Woods monetary system fluctuate relative to one another, the key takeaway is that the RMB itself is not free-floating.51 It is managed on a band peg set daily by the People’s Bank of China (e.g., the central bank pegs the rate each day and the currency can move up to 1% in either direction).52
What are the average annual salaries of Chinese residents? As I noted later in Chapter 15, according to 2011 official figures, the per capita disposable income for rural residents was $1,100 and their urban counterparts was $3,430.535455 But there is also a significantly large outlier at the top-end, according to Hurun’s 2012 list of richest people in China there are now more than a million USD millionaires on the mainland, a number that is estimated to increase to 1.9 million by 2015.5657 And according to a recent Boston Consulting Group study, the number of affluent Chinese (those with disposable incomes of at least $20,000 to $1 million) will double from the current 120 million to 280 million by 2020.58 While these numbers will probably fluctuate and may even dip due to fallout from real-estate bubbles, this suggests that there are potential customers at various price points your company is looking to sell at.
I should also point out that I purposefully avoided analyzing most industries that are nationalized as well as those directly affected by the recent investment business cycle, specifically residential real-estate and commodity exchanges.
Gaining and trading guanxi
While I mention it in passing several times, guanxi (关系) is a unique cultural phenomenon involving personal connections and trust networks and I think Matt Garner describes the phenomenon most concisely for Western audiences:
[Guanxi is] one of the big cultural disconnects I would always see between American and Chinese business people. Americans are results oriented. But Chinese are relationship oriented. When the Americans come they have a specific set of objectives to meet. They come to the table with those goals and hope to meet them in a few days. Asians, on the other hand, typically want to first make the relationship. It’s like a marriage arrangement. You want both sides to know and trust each other first. This is especially true in China since contract enforcement mechanisms in most of the country are still developing, thus making trust and mutual respect mission critical. A first round negotiation is more of a meet and greet than anything that gets tangible results.59
While building rapport and trust is important for all long-term business relationships in any country, guanxi is a unique cultural trait that is established first before any business transaction is carried out. Moreover, such a relationship (guanxi) can only be built and reinforced over time through repeated virtuous performance, and not easily given to quick introductions and a handshake (as is the practice in the West). Hence the seemingly endless rounds of elaborate dinners, karaoke nights and mahjong sessions to establish and maintain guanxi. For example, Anschutz Entertainment Group (AEG) is an American company that operates the Staples Arena in Los Angeles and the Mercedes-Benz Arena in Pudong, Shanghai. As part of their long-term expansion plan they have hired local salespersons and managers to build guanxi and relationships with local suppliers and officials. In doing so, they can cement mutual trust among all stakeholders and provide a communication channel for all future business. In addition it is an expandable resource as whomever you have established guanxi with can now introduce you to their own trust networks and connections.
Is this merely the exception rather than the rule? No. For LinkedIn, out of its 200 million global userbase, only 1% comes from China. Why? Professor Wei Wuhui of Jiaotong University opines that, “I don’t think the Chinese middle class has the same needs in terms of professional networks as people in the West, because of the concept of guanxi. In China people do not want to meet with people they don’t know. The Chinese have a culture based on relationships among family members and close friends.”60 Thus do not necessarily count on using Western networking methods to procure and build contacts – or as the expression goes, when in Rome.
And as Larry Chang, Charles Zeng and other entrepreneurs point out in interviews later on, one of the biggest challenges for any foreign firm is initially building these social connections, these trust networks that every Chinese businessperson and consumer has. Yet overcoming this cultural challenge is a struggle for anyone even mainland residents. As the saying attributed to Joseph P. Kennedy and Knute Rockne notes, “when the going gets tough, the tough get going.” If becoming a successful entrepreneur was easy, we would all be fùwēng (富翁).
Takeaway: With the 2nd largest economy and an increasing demand for foreign-made products and services, China may be a new source for customers and revenue generation. As detailed in the following chapters each industry has differing market access characteristics. Furthermore, there are a variety of ways to sell your products directly to Chinese consumers, even without physically opening an office on the mainland (see ExportNow in Chapter 7). Yet there are any number of policy and domestic hurdles that may present challenges to all foreign companies – challenges that as I repeatedly stress throughout the book require you to do your due diligence before making any substantial investments. Furthermore, how you attract brand awareness, generate leads and manage customer relationships are tactical decisions that will vary according to industry – some of which are detailed in the following chapters.
Endnotes:
The name of the book is Mr. China: A Memoir by Tim Cissold. During his April 12, 2010 show, Charlie Rose interviewed Jim Chanos, Chanos briefly discussed the story:
“There’s been a couple wonderful books, including one called “Mr. China” about two investment bankers who set up shop right after Tiananmen Square. They spoke Mandarin, they were connected. They hired the kids of the high party officials. And they couldn’t have gotten it more right from a big-picture point of view. And they wrote this book a number of years later on how they were lucky to get out with their skin. They were completely bankrupted by China.” [↩]
Due to the one-child policy and outward immigration, according to UN demographers, ceteris paribus China will hit a peak population within the next 20 years. India will likely eclipse China during this time frame in large part because its birth rate remains above the 2.1 replacement mark. In contrast, China’s birthrate is effectively 1.47 per mother. This is further discussed in Chapter 18. See also Birth rule could be relaxed from China Daily, Peak toil from The Economist and One-child policy shift won’t usher in China baby boom from Reuters [↩]
Red Flags: My Years in a Chinese Company by Matt Garner (forthcoming) [↩]
This is not an endorsement that the WTO and managed trade agreements are supposedly the manifestation and embodiment of pure free-trade. Yet some trade is better than no trade. Or as Frédéric Bastiat purportedly said, if merchants and goods do not cross borders, armies will. Yet due to relatively freer trade channels, merchants (especially in the West) have access to more potential trade channels than at any time in history. See Who Said It? by Don Boudreaux and Biography of Frederic Bastiat by Thomas DiLorenzo [↩]
Historically these “heavy” or “key industries” are called the commanding heights, a term that was first coined by Vladimir Lenin during the first years of the Soviet Union. See The Commanding Heights : The Battle for the World Economy by Daniel Yergin and Joseph Stanislaw [↩]
According to a recent estimate, by one measure state employment in China may have decreased 25% between 2002 and 2009. Although several questions remain unresolved, did the author include listed SOEs (e.g. ICBC) or LLC’s that are subsidiaries that are wholly owned by SOEs? See A Shrinking Leviathan: State Employment in China Looms Smaller Than Expected from Peterson Institute for International Economics [↩]
Foreign firms in the procurement business also face stiff domestic competition with “buy China” policies at various governmental levels on the mainland. See Chinese gov’t departments told to “buy China” from Xinhua [↩]
Some airlines such as Air China explain this duty free limit (5,000 yuan) to passengers who are required to declare assets upon landing. Mainland airports have similar restrictions as well. See More duty-free shops in Hainan from China Daily and Customs And Visas from Air China [↩]
As a Chinese colleague recently pointed out, there is a Chinese saying guan zi liang ge kou (官字两个口). It is literally translated as ‘the character for “official” (guan) has two mouths’ – but actually means ‘there is no such thing as singular truth in officialdom.’ This explains the distinctive trait of the traditional Chinese businessperson’s distaste and disinclination to involve the official court in all matters concerning business dealings. Hence, the preference, for many centuries, among Chinese business people, has been to first establish a good and dependable relationship with prospective partners prior to the actual transaction and execution of (unofficial) agreements. The basis of a good relationship is xin yu (信誉) or a strong reputation for honesty and integrity – this is an important virtue called xin (trust) of the classical Confucian gentleman. [↩]
One of the issues facing policy makers is traffic congestion. Each city handles it differently, some auctioning off license plates to residents. The cost of license plates has increased as cities have become denser and more affluent. In Shanghai for example, in the recent license plate auction held in January 2013, the average price for a plate was $12,000. See Shanghai’s Newest Luxury Item: The License Plate from The Wall Street Journal and Shanghai licence plates ‘precious as gold,’ says vice mayor from South China Morning Post [↩]
Used car sales are increasing faster than new car sales on the mainland and may be an opportunity for foreign auto dealers with experience in this segment. 4.8 million used cars were sold in China in 2012 compared with 15.5 million new cars. Used car sales are expected to double to 10 million in the next three years. For comparison, in the US the used car market is four times the size of new cars. See Coming of age: China’s used car market outpaces new sales growth from Reuters [↩]
Many other luxury cars continue to sell well on the mainland. For example, in 2011 Chinese consumers overtook the US in purchases of Rolls Royce vehicles; although in 2012 US consumers retook the “torch” which may again be handed off in 2013. See U.S. Overtakes China as World’s No. 1 Buyer of Rolls-Royce fromThe Wall Street Journal [↩]
In terms of whether the currency is undervalued or overvalued, the only way of knowing for sure what the open market rate “should be” is to float the currency. By one measure, according to The Economist’s annual Big Mac Index, despite the appreciation over the past several years, the yuan is still “undervalued” by 40%. See Calories and currencies from The Economist [↩]