Study: Polymarket Accuracy Driven by 3% of Traders, Not 'Wisdom of the Crowd'
Researchers from London Business School and Yale University found that Polymarket's prediction accuracy stems from a small group of skilled traders, not the collective intelligence of its massive user base.
Researchers from London Business School and Yale University have analyzed Polymarket transactions from 2023 to 2025 and reached a striking conclusion: the platform's prediction accuracy is driven by a small cohort of skilled traders — an "informed minority" — rather than the collective wisdom of the crowd.
Only 3% of Users Shape the Market
The scope of the study is substantial: scientists examined data from 1.7 million accounts and trades totaling $13.76 billion. Their findings reveal that so-called "skilled winners" represent just 3.14% of all users. This group, combined with market makers, captures more than 30% of total profits on the platform.
High overall earnings, however, do not necessarily indicate genuine trading skill. Further analysis showed that only 12% of the most profitable accounts actually employ a deliberate strategy. Roughly 60% of seemingly "lucky users" began incurring losses when market conditions shifted. The majority of participants — 67% — remain in the red due to inexperience or simple bad luck.
Why This Matters
These findings directly challenge the narrative promoted by the leadership of both Polymarket and Kalshi. Executives at both companies have repeatedly argued that prediction markets outperform expert analysis thanks to the collective intelligence of their broad user bases. The new research undermines that claim: pricing mechanisms are effectively shaped by a narrow band of professionals, not the wider audience.
For regulators and the platforms themselves, this distinction is critical. If prediction accuracy hinges on a few thousand skilled traders rather than millions of participants, the "wisdom of the crowd" argument loses much of its persuasive power in debates over the legitimacy of prediction markets.
Signs of Insider Trading
Beyond skill analysis, the researchers identified suspicious activity consistent with potential insider trading. They flagged 1,950 accounts that placed trades immediately before major events and ceased activity right after those events concluded.
One notable example involved bets on the resignation of former Venezuelan President Nicolás Maduro. The trades were executed shortly before the United States officially announced a military operation dubbed "Absolute Resolve," aimed at capturing the political leader.
Insider betting on Polymarket has already drawn law enforcement attention. In April, the U.S. Department of Justice charged active-duty service member Gannon Ken Van Dyke with allegedly using classified information to place bets on the platform.
What Comes Next
The study's conclusions could intensify regulatory scrutiny of prediction markets. Evidence of insider trading combined with the dominance of a small professional trader class raises questions about whether the competitive environment is fair for average participants. Polymarket and Kalshi now face the challenge of responding to well-founded academic criticism that strikes at the very foundation of their business model.
Frequently Asked Questions
What percentage of Polymarket traders actually make money?
According to the study, only 3.14% of Polymarket users qualify as 'skilled winners.' Together with market makers, this group captures over 30% of all platform profits. Meanwhile, 67% of participants end up losing money.
Does the wisdom of the crowd work on prediction markets?
Researchers from London Business School and Yale University concluded that Polymarket's accuracy is driven by a small 'informed minority' of skilled traders, not collective intelligence. This challenges the crowd wisdom narrative promoted by prediction market platforms.
Is there insider trading on Polymarket?
The study identified 1,950 accounts exhibiting signs of insider trading — placing bets immediately before major events and going silent afterward. In April, the U.S. DOJ charged service member Gannon Ken Van Dyke with allegedly using classified information to bet on Polymarket.
How large was the Polymarket research study?
The research analyzed data from 1.7 million accounts and trades worth $13.76 billion over the period from 2023 to 2025. It is one of the most comprehensive academic studies of the platform to date.
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