Speakers: Stephanie Hurder
Transcript By: Bryan Bishop
Blockchain upgrades as a coordination game
My name is Stephanie Hurder. Today I am going to talk about my paper, blockchain upgrade as a coordination game. This takes an economic lense to the question of how to design blockchain governance. This work was done at Prysm Group and my coauthors. We help blockchains with their governance design. I have a PhD in economics from Harvard where I shared office space with Jacob who just spoke.
Why blockchain needs economics
Computers are programmable at a fundamental level. What are all the different conditions that can occur? What kinds of variations might come up that we will need to take into account? On the other hand, people are not programmers. They have free will, and they make decisions based on what they perceive to be in their own self-interest. A miner is not going to come and mine because we told them to, it’s because their interests have to be aligned. However, blockchain platforms need users. Economics is about people individually optimizing their decisions based on prices.
Decentralized governance is a work in progress
Design of decentralized governance has been a challenge in the industry. Economics have been studying collective decision making for almost a century. For those of you who follow the Nobel Prize in Economics, there was the impossibility theorem based on his work in the 40s and 50s. This extends to political economy and other decision making environments. So there are potential gains to be had from applying economic thought.
What’s interesting about a blockchain environment is that it’s distinct from most environments where decision making has been made is that we have the possibility of hard-forks. Unhappy users can leave, and forking is freedom. Secession is costly in the political environment. But in blockchain the question isn’t can I afford to leave, it’s can I convince enough other people to leave with me. There are some people who say hard-forks are always good.
Do we want hard-forks to happen? As an economist, it’s always weird to hear something is always good or always bad. If we look at the history of hard-forks, and this is by no means comprehensive… just looking at bitcoin hard-forks, there are some that have done well. Since we wrote the paper 6 months ago, we had one appear Bitcoin SV and Bitcoin Private I believe has since met its demise. On the other hand, there’s a bazillion bitcoin forks that have died. It’s not immediately obvious to me that we could say all bitcoin hard-forks are good or all bad.
How can we define a good fork? How do we think about whether a fork is good for a community or not? Rather than getting into an argument and fighting to the death based on ideology, is there a way to have a rigorous framework to think about when hard-forks are good and when they are bad? And also, how can governance procedures and specifically voting procedures impact when hard-forks occur and when they don’t? Blockchain’s concept of governance is if we could just find the right voting procedure for forks then bad forks go away. Addressing this question rigorously, let’s take a couple of the voting procedures being used all the time and to what extent can they coordinate us on good forks and prevent bad forks from happening?
Economic design and governance
Building on what I said before, people generally make decisions in their own best interest. When we design governance, the procedures have to be incentive-compatible. We want governance procedures that lead to a good community outcome, but it should be in an individual’s best interest to participate and to do so honestly.
There’s also this question about the role of economic design. We have talked with many projects who say they have developed their technology, and they think describing economics institutions or constraints then this will lead to a lack of utility on behalf of the users. Ignoring economic design is a choice, you’re saying you’re just not going to deal with this. I want to illustrate how imposing economic institutions actually increases welfare for users. It’s not necessarily the case that by restricting freedom you get worse outcomes.
Mechanism design: Residency match
I’d like to take a detour through the world of mechanism design and I want to talk about the residency match. Your first job after med school is called residency, and you get a residency assignment through a centralized algorithm. You apply, go through interviews, then evveryone does rank choice polling, and then they run an algorithm and you get a letter in the mail and it tells you where you are going to go. This system has been in place for over a century. It has had phases of success and failure. In the mid 90s, the match had the problem that people were not using it. The reason was that medical students were marrying each other. They had to enter into the match separately, and they would be married and get assigned to different locations nad it was awful. So they try to find jobs on their own. Jobs they were getting through the centralized mechanism were better for their careers than the ones that they could find on their own. So the organization that ran the match program went to some economists in the 90s and said nobody is using the match, could you please help us fix this? We want people to abide by the recommendations.
So the team that was designing this took a fresh look at the algorithm being used to match doctors to jobs. They formed a hypothesis that marketplaces, and they looked at many different marketplaces using these centralized algorithms… the hypothesis was that the algorithms that produce stable outcomes are going to persist and the ones that don’t will not persist. The idea of stability is that you don’t want an outcome where two people want to leave their match and run off with each other. As long as there’s no pair that wants to run off and abide by the recommendation, the match is stable. So through lab experiments, hypothecation and so on, they suspected that this would result in a stable marketplace, and they tried this and it works. This algorithm is now used in many markets around the world.
Imposing a centralized design improved the outcomes for everyone. Doctors got better jobs, the hospitals got better applicants. This was structure that helped people achieve more value.
Blockchain governance design
With that economic lesson in mind, I want to talk about the problem of economic design and governance design. Designing governance and imposing institutions is not necessarily a bad thing, and it may be necessary for blockchain to survive. So there’s people in a world where they are using a blockchain and there’s a debate about a policy change like a change in the block size. So there’s a status quo and then the proposed upgrade.
We’re going to use a value function called VIJ, which is the value of a user of participating on a chain with policy j along with a fraction of the community x. This system exhibits network effects. I don’t want to be on a blockchain myself. I benefit from having other users on the blockchain. How much do I like the policy vs how many other people do I have with me? There will be two types of users, one that prefers the status quo and the other type prefers the upgrade. There’s a variable number that prefer each proposals.
The first question I want to explore before governance design is, when are forks good for the community? When is it socially optimal? And when can forks be nash equilibrium? We want to understand when do we see the hard-fork as an equilibrium? When do we have it that two chains we see as the equilibrium outcome of individuals making decisions. We’re going to make two different definitions of social welfare that come form an area called welfare economics. One of them is called total surplus maximization, what maximizes the total value in the community? The other is pareto optimality- you can’t make one group of people better without making another group worse.
And what we find, and this is a high-level diagram.. the way I want you to think about this is that this line is beta. This is the fraction of the users that prefer the status quo. We are all the way over on this side. If everyone prefers the upgrade, we’re over there. And if we’re over there, everyone prefers the statuos quo. A hard-fork in some cases can be total surplus maximizing, and this is the gold standard of what we’re looking for. But this doesn’t always have to exist. It’s rare in fact that hard-forks are total surplus maximizing.
We can have another set of outcomes where hard-forks aren’t even Nash equilibriums. If you split a blockchain into two chains, they actually combine back into the same chain, which is what you see when a proposal doesn’t have any support and maybe just five people on a new chain and then they go back to the other chain.
A hard-fork can be pareto opitmal, where if you take two chains and combine them back together, one of the groups of users will be worse off. This is always the case. This is good to know. We’re going to use that as the definition of optimality going forward.
There’s also the brexit section- this is where a hard-fork is in Nash equilibrium but it’s not Pareto optimal. Everyone wishes the fork didn’t happen, but without some collective action mechanism to bring everyone together, people are stuck in the suboptimal situation and nobody has the power to reconcile the two forks.
I just want to point out that to us one of the benefits of economic theory and modeling like this is that it helps with the clarity that… is a fork always good and is a fork always bad? This gives us a framework for thinking about that question which is way better than arguing ad naseum.
With that in mind, let’s look at the question of suppose we have a single blockchain and we’re going to implement a voting procedure. So there’s upgrade proposals, people vote on it, and do people fork after they see what the outcome is? Is there a type of voting mechanism that can prevent suboptimal forks from occurring?
There are two types of policies- one is majority rule, and the other is called quadratic voting which has had a lot of momentum lately. Quadratic voting implements the policy that results in the higher total surplus. If you have a very passionate minority, they will never win in majority rule, but they could win using quadratic voting.
What we find here is that this result has like 18 parts of inequalities or something… so rather than walking through thta, this is a parameter space. As you move from left to right, the proposed policy change gets bigger. If you’re on the left, it’s a tiny policy change. What we find is the following. First, there are areas where voting is not going to impact– the type of voting procedure you choose is not going to impact whether forks exist. This happens when the policy change is tiny and when it is huge. The voting procedure you pick can impact the policy to get implemented, but nobody cares enough to leave. At the large end, hard-forks are socially optimal, and the type of voting procedure you pick, it wont change anything, and you want the users to split in these situations.
The middle is where people have ex post forking regret. Here, if a fork occurs, at least one of the two groups says wait a minute I don’t like this can we reunite. If you do majority voting, you get undesirable forks in that area. If you use quadratic forking, you get undesired forks over here instead. Your choice of voting mechanism is going ot impact when you are going to see undesirable hard-forks occur.
Just a couple of comments on this… at least among these two voting procedures, none of them are the bad-fork panacea. You’re always going to get a situation where you get a fork and you don’t like it. You might say, let me pick which box I live in, and then pick a voting mechanism for that. But you can’t pre-define where you are going to land. It doesn’t work like that.
The voting mechanism impacts the procedures that the policies get implemented, but it’s not going to cure undesirable forking as we know it. One takeaway that I hope you get is that one big piece from stepping back from a different view is that blockchain is a new economic environment in many ways. A lot of the voting mechanisms I was talking about and the ones in practice.. are working in other settings. It’s not always going to work in blockchain, because the economic setup is different. Economic thinking is very fvaluable, but you also have to think about the fundamentals of the system. For thinking about designing the fundamentals, you have to think about more than voting. When does a policy get brought in for voting? Do we stick with really small and big changes? Do we allow changes in the middle? How does that process work? A final piece that is important is communication. Vickrey-Clarke-Groves mechanism produces socially optimal outcomes but almost impossible to implement (Rothkopf, 2007).