Well, I suppose you can draw the conclusion that "polymarket customers are interested in this topic"
Or even less charitable,
"People susceptible to gambling have been manipulated into spending money on this"
Wisdom of the crowd, same as guessing jellybeans in a jar. The exact average is wrong, but it's still pretty damn close because the guesses are likely to follow a normal distribution.
If the hump of the normal distribution of these guesses is around 4% (or whatever) odds on, the actual answer is unlikely to be far from that.
> You can't reasonably draw any conclusion from betting without understanding who is betting and why.
Irrelevant; Polymarket is the reflection of the bettors view. When they place their bets, they don't care which way this goes, they only care to predict the direction correctly.
Unfortunately, it could be a case of the tail wagging the dog - even if the IPO would have been successful without polymarket existing, now that they have a signal from polymarket it is likely to be used as one of the weightings when they determine the correct time to IPO.
I checked Polymarket towards the end of February for the odds of US bombing Iran and they were vanishingly low. IIRC most bets were aiming for summer 2026. YMMV.
- Most significantly, most scientific research focuses on things that are actually amenable to guesses with a normal distribution, like "amount of jellybeans in a jar" or "length of the border between country A and country B". An IPO is a binary choice where it either goes public or not. There is no correct value to converge to.
- It has been shown that as bettors gain more information about the bets of others, predictions lose accuracy and bettors converge to a consensus value instead. It seems to me that online prediction markets would be extremely prone to this as the bets of other people are all there in the market price.
- Prediction markets generally become more accurate as the diversity of the bettor pool grows. The users of polymarket and Kalshi heavily skew towards young men from certain socioeconomic groups, who may be biased towards one or the other outcome.
In the case of an OpenAI IPO, it seems likely multiple of these would converge as people start to fall prey to groupthink because "everybody knows that they'll IPO soon" in their local media bubble.
This makes intuitive sense to me; is there a name for this phenomenon?
A prediction platform’s biggest value is publicising information from possible insiders, who at some point will work harder to maintain secrecy not to lose their informational advantage. So all that remains are people gambling on public info.
That said, greed from insiders looking to make a quick buck will always skew the price towards ‘truth’
Of course there is - they are betting on the "when".
> It has been shown that as bettors gain more information about the bets of others, predictions lose accuracy and bettors converge to a consensus value instead.
I dunno how to reply to this - that is exactly my point, but it appears (to me, anyway) that you are saying this in disagreement?
Let me clarify - my point is that wisdom of the crowd converges on to a value that is quite near the actual value.
> In the case of an OpenAI IPO, it seems likely multiple of these would converge as people start to fall prey to groupthink because "everybody knows that they'll IPO soon" in their local media bubble.
Sure, if everyone is in the same local media bubble, that once again, that is unlikely, because these are people who don't make money from the result, they make money from correctly predicting it, hence they are exactly the demographic that will seek out more and more information outside of any bubble they may be in.
It's one thing when proponents of $FOO spend time boosting their PoV/wishes/hopes on a forum. It's quite another when they have to put their money where their mouth is: then they are open to new information!
Yes. The research shows that they do (almost) always converge, but that they DON'T always converge to an accurate value. In particular, there can be behavioral biases at work that warp the perception of bettors in one direction or the other. A well documented case of this is when fans of a sports team pile in and bet for their favorite team, causing the price to shift too much towards the more popular team. Exposure to the predictions by other bettors then causes the total market to converge to the biased price. Interestingly enough, people still do this even though this phenomenon is well documented and they have to put their money on the line. People just don't care enough about their $10 bet to do thorough research.
In a similar way, I would not at all be surprised if some people are such fanboys of OpenAI that they start to display cultlike behavior. You can easily find such people online even on this very site. It's not such a weird thing to consider that people at the peak of a hype cycle don't always behave in rational ways, especially when they're just betting $10 when drunk on a Saturday evening.
> - Prediction markets generally become more accurate as the diversity of the bettor pool grows. The users of polymarket and Kalshi heavily skew towards young men from certain socioeconomic groups, who may be biased towards one or the other outcome.
Citation? If your small population is high IQ, accurate predictors and you diversify to average IQ population, won't the accuracy go down not up?
Knowing that something is a lousy predictor doesn't mean that you have a better one.
Anyone who thinks that position is wrong and it's >4% likely has a clear profit opportunity.
