From prediction markets to info finance
2024 Nov 09
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From prediction markets to info finance
Special thanks to Robin Hanson and Alex Tabarrok for feedback and
review
One of the Ethereum applications that has always excited me the most
are prediction markets. I wrote
about futarchy, a model of prediction-based governance conceived by Robin
Hanson, in 2014. I was an active user and supporter of Augur back in 2015 (look, mommy, my
name is in the Wikipedia
article!). I earned $58,000 betting
on the election in 2020. And this year, I have been a close
supporter and follower of Polymarket.
To many people, prediction markets are about betting on elections,
and betting on elections is gambling - nice if it helps people enjoy
themselves, but fundamentally not more interesting than buying random
coins on pump.fun. From this perspective, my interest in prediction
markets may seem confusing. And so in this post I aim to explain what it
is about the concept that excites me. In short, I believe that (i)
prediction markets even as they exist today are a very useful
tool for the world, but furthermore (ii) prediction
markets are only one example of a much larger incredibly powerful
category, with potential to create better implementations of
social media, science, news, governance, and other fields. I shall label
this category "info finance".
The
two faces of Polymarket: a betting site for the participants, a news
site for everyone else
In the past week, Polymarket has been a very
effective source of information about the US election. Not only did
Polymarket predict Trump would win with 60/40 odds while other sources
predicted 50/50 (not
too impressive by itself), it also showed other virtues: when the
results were coming out, while many pundits and news sources kept
stringing viewers along with hope of some kind of favorable news for
Kamala, Polymarket showed the direct truth: Trump had a greater than 95%
chance of victory, and a greater than 90% chance of seizing control of
all branches of government at the same time.
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)
Two screenshots both taken at 3:40 AM EST, Nov 6
But to me this is not even the best example of why Polymarket is
interesting. So let us go to a different example: the
elections in Venezuela in July. The day after the election happened,
I remember seeing out of the corner of my eye something about people
protesting a highly
manipulated election result in Venezuela. At first, I thought
nothing of it. I knew that Maduro was one of those "basically a
dictator" figures already, and so I figured, of course he would
fake every election outcome to keep himself in power, of course
some people would protest, and of course the protest would fail
- as, unfortunately, so many others do. But then I was scrolling
Polymarket, and I saw this:
![](data:image/jpeg;base64,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)
People were willing to put over a hundred thousand dollars on the
line, betting that there is a 23% chance that this election
would be the one where Maduro would actually get struck down.
Now I was paying attention.
Of course, we know the unfortunate result of this situation.
Ultimately, Maduro did stay in power. However, the markets clued
me in to the fact that this time, the attempt to unseat Maduro
was serious. There were huge protests, and the opposition played
a surprisingly well-executed strategy to prove to the world just how
fraudulent the elections were. Had I not received the initial signal
from Polymarket that "this time, there is something to pay attention
to", I would not have even started paying that much attention.
You should never trust the charts entirely: if everyone
trusts the charts, then anyone with money can manipulate the charts and
no one will dare to bet against them. On the other hand, trusting the
news entirely is also a bad idea. News has an incentive to be
sensational, and play up the consequences of anything for clicks.
Sometimes, this is justified, sometimes it's not. If you see a
sensational article, but then you go to the market and you see that
probabilities on relevant events have not changed at all, it makes sense
to be suspicious. Alternatively, if you see an unexpectedly high or low
probability on the market, or an unexpectedly sudden change, that's a
signal to read through the news and see what might have caused it.
Conclusion: you can be more informed by reading the news
and the charts, than by reading either one alone.
Let's recap that's going on here. If you are a bettor, then
you can deposit to Polymarket, and for you it's a betting site. If you
are not a bettor, then you can read the charts, and for you it's a news
site. You should never trust the charts entirely, but I
personally have already incorporated reading the charts as one step in
my information-gathering workflow (alongside traditional media and
social media), and it has helped me become more informed more
efficiently.
Info finance, more broadly
Now, we get to the important part: predicting the election is
just the first app. The broader concept is that you can
use finance as a way to align incentives in order to provide
viewers with valuable information. Now, one natural response
is: isn't all finance fundamentally about information?
Different actors make different buy and sell decisions because of
different opinions about what will happen in the future (in addition to
personal needs like risk preferences and desire to hedge), and you can
read market prices to infer a lot of knowledge about the world.
To me, info finance is that, but correct
by construction. Similar to the concept of correct-by-construction
in software engineering, info finance is a discipline where you
(i) start from a fact that you want to know, and then (ii)
deliberately design a market to optimally elicit that information from
market participants.
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)
Info finance as a three-sided market: bettors make
predictions, readers read predictions. The market outputs predictions
about the future as a public good (because that's what it was designed
to do).
One example of this is prediction markets: you want
to know a specific fact that will take place in the future, and so you
set up a market for people to bet on that fact. Another example is
decision markets: you want to know whether decision A
or decision B will produce a better outcome according to some metric M.
To achieve this, you set up conditional markets: you ask people
to bet on (i) which decision will be chosen, (ii) value of M if decision
A is chosen, otherwise zero, (iii) value of M if decision B is chosen,
otherwise zero. Given these three variables, you can figure out if the
market thinks decision A or decision B is more bullish for the value of
M.
![](data:image/jpeg;base64,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)
One technology that I expect will turbocharge info finance in
the next decade is AI (whether LLMs or some future technology).
This is because many of the most interesting applications of info
finance are on "micro" questions: millions of mini-markets for decisions
that individually have relatively low consequence. In practice, markets
with low volume often do not work effectively: it does not make sense
for a sophisticated participant to spend the time to make a detailed
analysis just for the sake of a few hundred dollars of profit, and many
have even argued that without subsidies such
markets won't work at all because on all but the most large and
sensational questions, there are not enough naive traders for
sophisticated traders to take profit from. AI changes that equation
completely, and means that we could potentially get reasonably
high-quality info elicited even on markets with $10 of volume. Even if
subsidies are required, the size of the subsidy per question
becomes extremely affordable.
Info finance for
distilled human judgement
Suppose that you have a human judgement mechanism that you trust, and
that has the legitimacy
of a whole community trusting it, but which takes a long time and a high
cost to make a judgement. However, you want access to at least an
approximate copy of that "costly mechanism" cheaply and in real
time. Here is Robin Hanson's
idea for what you can do: every time you need to make a decision,
you set up a prediction market on what outcome the costly mechanism
would make on the decision if it was called. You let the
prediction market run, and put in a small amount of money to subsidize
market makers.
99.99% of the time, you don't actually call the costly mechanism:
perhaps you "revert the trades" and give everyone back what they put in,
or you just give everyone zero, or you see if the average price was
closer to 0 or 1 and treat that as the ground truth. 0.01% of the time -
perhaps randomly, perhaps for the highest-volume markets, perhaps some
combination of both - you actually run the costly mechanism, and
compensate participants based on that.
This gives you a credibly neutral
fast and cheap "distilled version" of your original highly trustworthy
but highly costly mechanism (using the word "distilled" as an analogy to
LLM
distillation). Over time, this distilled mechanism roughly mirrors
the original mechanism's behavior - because only the participants that
help it have that outcome make money, and the others lose money.
![](data:image/jpeg;base64,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)
Mockup of possible prediction markets + Community Notes
combo.
This has applications not just in social media, but also for
DAOs. A major problem of DAOs is that there is such a large
number of decisions that most people are not willing to participate in
most of them, leading to either widespread use of delegation, with risk
of the same kinds of centralization and principal-agent failures we see
in representative democracy, or vulnerability to attack. A DAO where
actual votes only happen very rarely, and most things are decided by
prediction markets with some combination of humans and AI predicting the
votes, could work well.
Just as we saw in the decision markets example, info finance contains
many potential paths to solving important problems in decentralized
governance. The key is the balance between market and
non-market: the market is the "engine", and some other non-financialized
trustworthy mechanism is the "steering wheel".
Other use cases of info
finance
Personal tokens - the genre of projects such as Bitclout (now deso), friend.tech and many others that
create a token for each person and make it easy to speculate on these
tokens - are a category that I would call "proto info-finance". They are
deliberately creating market prices for specific variables - namely,
expectations of future prominence of a person - but the exact
information being uncovered by the prices is too unspecific and subject
to reflexivity
and bubble dynamics. There is a possibility to create improved versions
of such protocols, and use them to solve important problems like talent
discovery, by being more careful about the economic design of a token,
particularly where its ultimate value comes from. Robin Hanson's idea
of prestige futures is one possible end state here.
Advertising - the ultimate "expensive but
trustworthy signal" is whether or not you will buy a product. Info
finance based off of that signal could be used to help people to
identify what to buy.
Scientific peer review - there is an ongoing "replication
crisis" in science where famous results that have in some cases
become part of folk wisdom end up not being reproduced at all by newer
studies. We can try to identify results that need re-checking with a
prediction market. Before the re-checking is done, such a market would
also give readers a quick estimate of how much they should trust any
specific result. Experiments of this idea have been
done, and so far seem successful.
Public goods funding - one of the main problems with
public goods funding mechanisms used in Ethereum is the "popularity
contest" nature of them. Each contributor needs to run their own
marketing operation on social media in order to get recognized, and
contributors who are not well-equipped to do this, or who have
inherently more "background" roles, have a hard time getting significant
amounts of money. An appealing solution to this is to try to track an
entire dependency graph: for each positive outcome, which
projects contributed how much to it, and then for each of those
projects, which projects contributed how much to that, and so
on. The main challenge in this kind of design is figuring out the
weights of the edges in a way that is resistant to manipulation - after
all, such manipulation happens
all the time already. A distilled human judgement mechanism could
potentially help.
Conclusions
These ideas have been theorized about for a long time: the earliest
writings about prediction markets and even decision markets are decades
old, and theory of finance saying similar things is even older. However,
I would argue that the current decade presents a unique opportunity, for
several key reasons:
- Info finance solves trust problems that people actually
have. A common concern of this era is the lack of knowledge
(and worse, lack of consensus) about whom to trust, in political,
scientific and commercial contexts. Info finance applications could help
be part of the solution.
- We now have scalable blockchains as the substrate.
Up until very recently, fees were too high to actually implement most of
these ideas. Now, they are no longer too high.
- AIs as participants. Info finance is relatively
difficult to make work when it must depend on humans to participate on
each question. AIs greatly improve this situation, enabling effective
markets even on small-scale questions. Many markets will likely have a
combination of AI and human participants, especially as volume on
specific questions suddenly switches from small to large.
To take full advantage of this opportunity, it's time to go beyond
just predicting elections, and explore the rest of what info finance can
bring us.
From prediction markets to info finance
2024 Nov 09 See all postsSpecial thanks to Robin Hanson and Alex Tabarrok for feedback and review
One of the Ethereum applications that has always excited me the most are prediction markets. I wrote about futarchy, a model of prediction-based governance conceived by Robin Hanson, in 2014. I was an active user and supporter of Augur back in 2015 (look, mommy, my name is in the Wikipedia article!). I earned $58,000 betting on the election in 2020. And this year, I have been a close supporter and follower of Polymarket.
To many people, prediction markets are about betting on elections, and betting on elections is gambling - nice if it helps people enjoy themselves, but fundamentally not more interesting than buying random coins on pump.fun. From this perspective, my interest in prediction markets may seem confusing. And so in this post I aim to explain what it is about the concept that excites me. In short, I believe that (i) prediction markets even as they exist today are a very useful tool for the world, but furthermore (ii) prediction markets are only one example of a much larger incredibly powerful category, with potential to create better implementations of social media, science, news, governance, and other fields. I shall label this category "info finance".
The two faces of Polymarket: a betting site for the participants, a news site for everyone else
In the past week, Polymarket has been a very effective source of information about the US election. Not only did Polymarket predict Trump would win with 60/40 odds while other sources predicted 50/50 (not too impressive by itself), it also showed other virtues: when the results were coming out, while many pundits and news sources kept stringing viewers along with hope of some kind of favorable news for Kamala, Polymarket showed the direct truth: Trump had a greater than 95% chance of victory, and a greater than 90% chance of seizing control of all branches of government at the same time.
Two screenshots both taken at 3:40 AM EST, Nov 6
But to me this is not even the best example of why Polymarket is interesting. So let us go to a different example: the elections in Venezuela in July. The day after the election happened, I remember seeing out of the corner of my eye something about people protesting a highly manipulated election result in Venezuela. At first, I thought nothing of it. I knew that Maduro was one of those "basically a dictator" figures already, and so I figured, of course he would fake every election outcome to keep himself in power, of course some people would protest, and of course the protest would fail - as, unfortunately, so many others do. But then I was scrolling Polymarket, and I saw this:
People were willing to put over a hundred thousand dollars on the line, betting that there is a 23% chance that this election would be the one where Maduro would actually get struck down. Now I was paying attention.
Of course, we know the unfortunate result of this situation. Ultimately, Maduro did stay in power. However, the markets clued me in to the fact that this time, the attempt to unseat Maduro was serious. There were huge protests, and the opposition played a surprisingly well-executed strategy to prove to the world just how fraudulent the elections were. Had I not received the initial signal from Polymarket that "this time, there is something to pay attention to", I would not have even started paying that much attention.
You should never trust the charts entirely: if everyone trusts the charts, then anyone with money can manipulate the charts and no one will dare to bet against them. On the other hand, trusting the news entirely is also a bad idea. News has an incentive to be sensational, and play up the consequences of anything for clicks. Sometimes, this is justified, sometimes it's not. If you see a sensational article, but then you go to the market and you see that probabilities on relevant events have not changed at all, it makes sense to be suspicious. Alternatively, if you see an unexpectedly high or low probability on the market, or an unexpectedly sudden change, that's a signal to read through the news and see what might have caused it. Conclusion: you can be more informed by reading the news and the charts, than by reading either one alone.
Let's recap that's going on here. If you are a bettor, then you can deposit to Polymarket, and for you it's a betting site. If you are not a bettor, then you can read the charts, and for you it's a news site. You should never trust the charts entirely, but I personally have already incorporated reading the charts as one step in my information-gathering workflow (alongside traditional media and social media), and it has helped me become more informed more efficiently.
Info finance, more broadly
Now, we get to the important part: predicting the election is just the first app. The broader concept is that you can use finance as a way to align incentives in order to provide viewers with valuable information. Now, one natural response is: isn't all finance fundamentally about information? Different actors make different buy and sell decisions because of different opinions about what will happen in the future (in addition to personal needs like risk preferences and desire to hedge), and you can read market prices to infer a lot of knowledge about the world.
To me, info finance is that, but correct by construction. Similar to the concept of correct-by-construction in software engineering, info finance is a discipline where you (i) start from a fact that you want to know, and then (ii) deliberately design a market to optimally elicit that information from market participants.
Info finance as a three-sided market: bettors make predictions, readers read predictions. The market outputs predictions about the future as a public good (because that's what it was designed to do).
One example of this is prediction markets: you want to know a specific fact that will take place in the future, and so you set up a market for people to bet on that fact. Another example is decision markets: you want to know whether decision A or decision B will produce a better outcome according to some metric M. To achieve this, you set up conditional markets: you ask people to bet on (i) which decision will be chosen, (ii) value of M if decision A is chosen, otherwise zero, (iii) value of M if decision B is chosen, otherwise zero. Given these three variables, you can figure out if the market thinks decision A or decision B is more bullish for the value of M.
One technology that I expect will turbocharge info finance in the next decade is AI (whether LLMs or some future technology). This is because many of the most interesting applications of info finance are on "micro" questions: millions of mini-markets for decisions that individually have relatively low consequence. In practice, markets with low volume often do not work effectively: it does not make sense for a sophisticated participant to spend the time to make a detailed analysis just for the sake of a few hundred dollars of profit, and many have even argued that without subsidies such markets won't work at all because on all but the most large and sensational questions, there are not enough naive traders for sophisticated traders to take profit from. AI changes that equation completely, and means that we could potentially get reasonably high-quality info elicited even on markets with $10 of volume. Even if subsidies are required, the size of the subsidy per question becomes extremely affordable.
Info finance for distilled human judgement
Suppose that you have a human judgement mechanism that you trust, and that has the legitimacy of a whole community trusting it, but which takes a long time and a high cost to make a judgement. However, you want access to at least an approximate copy of that "costly mechanism" cheaply and in real time. Here is Robin Hanson's idea for what you can do: every time you need to make a decision, you set up a prediction market on what outcome the costly mechanism would make on the decision if it was called. You let the prediction market run, and put in a small amount of money to subsidize market makers.
99.99% of the time, you don't actually call the costly mechanism: perhaps you "revert the trades" and give everyone back what they put in, or you just give everyone zero, or you see if the average price was closer to 0 or 1 and treat that as the ground truth. 0.01% of the time - perhaps randomly, perhaps for the highest-volume markets, perhaps some combination of both - you actually run the costly mechanism, and compensate participants based on that.
This gives you a credibly neutral fast and cheap "distilled version" of your original highly trustworthy but highly costly mechanism (using the word "distilled" as an analogy to LLM distillation). Over time, this distilled mechanism roughly mirrors the original mechanism's behavior - because only the participants that help it have that outcome make money, and the others lose money.
Mockup of possible prediction markets + Community Notes combo.
This has applications not just in social media, but also for DAOs. A major problem of DAOs is that there is such a large number of decisions that most people are not willing to participate in most of them, leading to either widespread use of delegation, with risk of the same kinds of centralization and principal-agent failures we see in representative democracy, or vulnerability to attack. A DAO where actual votes only happen very rarely, and most things are decided by prediction markets with some combination of humans and AI predicting the votes, could work well.
Just as we saw in the decision markets example, info finance contains many potential paths to solving important problems in decentralized governance. The key is the balance between market and non-market: the market is the "engine", and some other non-financialized trustworthy mechanism is the "steering wheel".
Other use cases of info finance
Personal tokens - the genre of projects such as Bitclout (now deso), friend.tech and many others that create a token for each person and make it easy to speculate on these tokens - are a category that I would call "proto info-finance". They are deliberately creating market prices for specific variables - namely, expectations of future prominence of a person - but the exact information being uncovered by the prices is too unspecific and subject to reflexivity and bubble dynamics. There is a possibility to create improved versions of such protocols, and use them to solve important problems like talent discovery, by being more careful about the economic design of a token, particularly where its ultimate value comes from. Robin Hanson's idea of prestige futures is one possible end state here.
Advertising - the ultimate "expensive but trustworthy signal" is whether or not you will buy a product. Info finance based off of that signal could be used to help people to identify what to buy.
Scientific peer review - there is an ongoing "replication crisis" in science where famous results that have in some cases become part of folk wisdom end up not being reproduced at all by newer studies. We can try to identify results that need re-checking with a prediction market. Before the re-checking is done, such a market would also give readers a quick estimate of how much they should trust any specific result. Experiments of this idea have been done, and so far seem successful.
Public goods funding - one of the main problems with public goods funding mechanisms used in Ethereum is the "popularity contest" nature of them. Each contributor needs to run their own marketing operation on social media in order to get recognized, and contributors who are not well-equipped to do this, or who have inherently more "background" roles, have a hard time getting significant amounts of money. An appealing solution to this is to try to track an entire dependency graph: for each positive outcome, which projects contributed how much to it, and then for each of those projects, which projects contributed how much to that, and so on. The main challenge in this kind of design is figuring out the weights of the edges in a way that is resistant to manipulation - after all, such manipulation happens all the time already. A distilled human judgement mechanism could potentially help.
Conclusions
These ideas have been theorized about for a long time: the earliest writings about prediction markets and even decision markets are decades old, and theory of finance saying similar things is even older. However, I would argue that the current decade presents a unique opportunity, for several key reasons:
To take full advantage of this opportunity, it's time to go beyond just predicting elections, and explore the rest of what info finance can bring us.