Kalshi releases largest study on prediction markets’ reliability

Kalshi just dropped what it calls the largest analysis of prediction market accuracy ever conducted, covering more than 300,000 contracts with transaction-level data. The takeaway: prediction market prices are genuinely informative estimators of real-world probabilities. The caveat: if you’re buying cheap lottery-ticket contracts, you’re probably lighting money on fire.

The study, authored by researchers Bürgi, Deng, and Whelan, digs into a question that’s been central to the prediction market thesis since its inception. Can crowds of bettors putting real money on the line actually produce better forecasts than polls, pundits, or professional analysts? Kalshi’s answer, backed by its own data, is a qualified yes.

The numbers behind the claim

The core finding is straightforward: Kalshi contract prices track realized outcomes with meaningful accuracy. When a contract trades at 70 cents, the associated event tends to happen roughly 70% of the time.

But the accuracy isn’t uniform across a contract’s lifespan. Mean absolute pricing errors drop sharply on the final day of trading before a market resolves. In plain terms, prediction markets get dramatically better at their job right before the answer is revealed. Earlier in a contract’s life, prices are noisier and less reliable.

Perhaps the most actionable finding involves what researchers call the favorite-longshot bias. Contracts priced at 10 cents or less, representing events the market deems highly unlikely, win even less often than their price implies. Buyers of these cheap contracts average losses north of 60%.

On the flip side, expensive contracts representing heavily favored outcomes deliver small but positive returns on average. The market, in other words, systematically overprices longshots and slightly underprices favorites.

Kalshi Research and the Wall Street comparison

The study arrives under the banner of Kalshi Research, a dedicated analysis arm the company established on December 22, 2025. The division’s mandate covers probability calibration, comparisons against traditional forecasting methods, and the behavioral patterns of market participants.

One of the early outputs from this research group is a claim that carries significant weight: Kalshi’s inflation forecasts outperformed Wall Street’s consensus predictions by 40% across various conditions.

What this means for prediction market credibility

The CFTC-regulated status of Kalshi gives its research a different flavor than what you’d get from offshore or crypto-native platforms. Kalshi operates under US regulatory oversight, which means its data carries a degree of institutional credibility that unregulated competitors can’t match.

The establishment of a formal research division also signals something about Kalshi’s competitive strategy. By producing academic-quality analysis of its own markets, the company is positioning itself not just as a trading venue but as a data and analytics provider.

The 300,000-contract dataset also sets a benchmark that future studies will need to match or exceed. Previous academic work on prediction markets typically relied on much smaller samples from platforms like Intrade or the Iowa Electronic Markets.

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