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Prediction markets know things first. That is the question Congress is avoiding.

The Polymarket investigation frames the issue as one of insider trading. The more fundamental question is epistemological: what does it mean when a financial instrument consistently knows things before the […]

Martynas Kasiulis by Martynas Kasiulis
April 16, 2026
in Business
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The Polymarket investigation frames the issue as one of insider trading. The more fundamental question is epistemological: what does it mean when a financial instrument consistently knows things before the official channels through which society is supposed to learn them?

On 10 April 2026, NPR reported that calls were increasing inside Congress for investigations into Polymarket, the prediction market platform, after groups of anonymous traders made strategic, well-timed bets on a major geopolitical event hours before it occurred.

The framing of the story was familiar: potential insider trading, anonymous accounts, regulatory arbitrage, and the question of whether prediction markets are being used as vehicles for information with unlawful provenance. The legal question is real and worth examining. It is not the most interesting question the case raises.


The Hayekian argument

Prediction markets aggregate private information through price signals. This is, in theory, what Frederick Hayek described in 1945 in “The Use of Knowledge in Society” — the price mechanism as the only available tool for aggregating dispersed knowledge that no central authority can possess in full. When a prediction market accurately prices a geopolitical event before it is publicly confirmed, one of two things is true: either the market is aggregating genuinely dispersed private signals that individually fall below the threshold of actionable intelligence, or it is being used to trade on non-public information.

Both are epistemologically significant. The first is Hayek’s mechanism working as designed — and producing a result that official information channels, with all their resources, did not. The second is a different information infrastructure, operating outside the accountability structures of journalism, government intelligence, and financial regulation simultaneously.


The empirical track record

The Iowa Electronic Markets have outperformed polling in US election prediction in the majority of cycles since 1988. Philip Tetlock’s Superforecasting (2015) documents the conditions under which aggregated human forecasting reliably outperforms both expert consensus and institutional intelligence assessment. The prediction market literature suggests that, under the right conditions, distributed information aggregation outperforms centralised information processing.

If this is true — if markets can consistently outperform official information channels — the question it raises about those official channels is uncomfortable. Not because the markets are more honest, but because they have different incentive structures. Market participants are rewarded for accuracy. Official information channels are not always structured to produce it.

The accountability gap

The Commodity Futures Trading Commission has jurisdiction over prediction markets in the United States, but its regulatory framework was not designed for markets that function simultaneously as speculation vehicles and as alternative information infrastructure. The tension between those two functions has not been resolved — and the Congressional calls for investigation, which focus primarily on the insider trading question, are not likely to resolve it.

The deeper accountability question is structural. When prediction markets accurately price events that official channels do not, and when the mechanism for that accuracy is non-public information rather than superior analysis, the market is not merely outperforming journalism or government intelligence. It is demonstrating that information which should, in principle, be public is being privately held and monetised.

“The Polymarket investigation is about insider trading. The real story is about who knows what, and what it means when the answer is: whoever has money in the right market, before the rest of us.”


What this reveals

VeyrZest does not defend the use of prediction markets as vehicles for information with unlawful provenance. The legal and regulatory questions are legitimate and consequential. What the Polymarket case reveals, independently of those questions, is that the official information architecture — journalism, government disclosure, institutional intelligence — is not the only, and may not be the fastest, route by which consequential information reaches the public sphere.

The question Congress is avoiding is not whether Polymarket traders broke the law. It is what it says about official information channels that a prediction market appears to have known first.


SOURCES

— NPR — Calls for Polymarket investigation, April 10, 2026
— Polymarket
— Hayek, F.A. — The Use of Knowledge in Society, AER, 1945
— Iowa Electronic Markets — historical accuracy data
— Tetlock, P. — Superforecasting, Crown, 2015
— Arrow et al. — The Promise of Prediction Markets, Science, 2008
— CFTC — prediction market regulatory jurisdiction— Hanson, R. — prediction market design, George Mason University

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Martynas Kasiulis

Martynas Kasiulis

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