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Prediction Markets Driven by 3.5% of Users, Study Finds

April 27, 2026Updated:April 27, 2026No Comments3 Mins Read
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Prediction Markets Driven by 3.5% of Users, Study Finds
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Iris Coleman
Apr 27, 2026 06:49

New analysis reveals that an ‘knowledgeable minority’ drives worth accuracy in prediction markets, elevating questions on equity and insider buying and selling dangers.





Prediction markets, usually touted as a instrument for crowd-sourced forecasting, are dominated by a small, extremely knowledgeable group of merchants, in line with a examine by researchers from London Enterprise College and Yale College. The examine analyzed Polymarket knowledge from 2023 to 2025 and located that simply 3.5% of accounts generate the majority of worth discovery, whereas nearly all of contributors fund this accuracy via losses.

The findings problem the notion that prediction markets function on the “knowledge of the gang.” As a substitute, the authors argue, their accuracy displays the “knowledge of an knowledgeable minority”—market makers and expert merchants who earn outsized earnings. On common, market maker accounts pocketed $11,830 every in the course of the examine interval, whereas different knowledgeable merchants collectively captured over 30% of whole beneficial properties. The vast majority of contributors, labeled as “unfortunate losers,” coated combination losses.

Rising Recognition and Considerations

Prediction markets have turn out to be a hotbed of exercise within the crypto sector, recording over $15 billion in month-to-month buying and selling quantity as of 2026. Platforms like Polymarket and Kalshi permit customers to commerce contracts on occasions starting from elections to sports activities outcomes, providing a monetary incentive to combination collective beliefs.

Nevertheless, this fast progress has drawn regulatory scrutiny. Considerations over insider buying and selling are mounting, with critics arguing that the pseudonymous nature of those platforms makes them ripe for abuse. A current case on April 26 concerned a soldier allegedly utilizing categorised info to revenue on a prediction market wager. Researchers famous that prediction markets face much less oversight in comparison with securities markets, opening the door for personal info to affect buying and selling outcomes.

Regulatory and Moral Implications

The examine’s findings spotlight a possible moral quandary: whereas the knowledgeable minority drives market effectivity, their beneficial properties come on the expense of less-informed contributors. This dynamic raises questions on equity, notably as platforms acquire traction amongst a broader person base. Regulatory pressures are more likely to improve, with platforms probably needing to undertake stricter guidelines to mitigate insider buying and selling dangers. As an example, some platforms have begun banning political candidates from betting on their very own campaigns.

The examine additionally underscores the profitability hole inside prediction markets. One other evaluation, launched earlier this month, discovered that solely 0.015% of merchants on Polymarket achieved constant earnings of $5,000 or extra over 4 consecutive months. These findings recommend that prediction markets, whereas profitable for a choose few, provide restricted alternatives for the typical person to show a revenue.

What’s Subsequent for Prediction Markets?

As prediction markets evolve, the strain to handle transparency and equity will develop. Kalshi and Polymarket’s current plans to introduce perpetual contracts sign innovation, however they could additionally invite additional regulatory oversight. With buying and selling volumes hovering and insider buying and selling considerations escalating, the following few years will doubtless outline the long-term viability of those platforms.

For now, merchants ought to method prediction markets with warning, understanding that the percentages could also be tilted in favor of an knowledgeable minority who dominate worth discovery and profitability.

Picture supply: Shutterstock


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