A recent scandal involving a Green Beret arrested for betting on a classified US raid may be more than an isolated incident, as a new study suggests it could be an extreme example of the small group of informed traders who actually influence prices on Polymarket, while the majority of users incur losses. The study, conducted by researchers from London Business School and Yale, analyzed 1.72 million accounts and $13.76 billion in trading volume on Polymarket from 2023 to 2025. The findings indicate that just 3% of traders are responsible for the majority of price discovery, consistently predicting outcomes and moving prices in the right direction. In contrast, the remaining 97% of traders provide liquidity and generate volume but tend to be on the losing side of trades against the informed minority.
To distinguish between skill and luck, the researchers simulated each trader's bets 10,000 times, using the same markets, moments, and dollar amounts but randomly deciding whether to buy or sell. The results showed that among the biggest winners by raw profit, only 12% outperformed the simulated benchmark, suggesting that many apparent winners may have simply been lucky. The study's findings have significant implications for the functioning of prediction markets, highlighting the importance of a small group of informed traders in driving market accuracy. The researchers found that when skilled participants account for a larger share of trading, prices tend to move closer to the correct outcome, especially in the final stages before resolution.
However, the study also raises concerns about the potential for insider trading, particularly when non-public information is involved. The researchers cite the example of the US removal of Nicolás Maduro from power in Venezuela, where three newly created Polymarket accounts placed unusually large bets on the outcome before the event, collectively making over $630,000. While there is no evidence of wrongdoing in this case, the incident highlights the risk of insider trading in prediction markets.
Overall, the study challenges the conventional wisdom that prediction markets work due to the collective knowledge of their participants, instead suggesting that they are driven by the actions of a small group of informed traders.