Better Markets disputes prediction market accuracy after Kalshi touts 98% House race calls
Better Markets published an analysis November 4 arguing that prediction markets failed to accurately predict the previous day's elections. The research group challenged accuracy claims by platforms including Kalshi, which had reported that its markets correctly predicted 98 percent of House races. The dispute spotlights dueling interpretations of whether event contracts serve as reliable forecasting tools or speculative gambling products.
The accuracy fight lands directly in Kalshi's legal path. State attorneys general in Ohio and Tennessee are already suing to classify event contracts as gambling, and their case rests on proving prices reflect sentiment rather than genuine prediction. Better Markets' critique feeds that argument with academic-style cover. Kalshi's 98% House call and Polymarket's parallel performance give platforms empirical armor they lacked in past cycles.
The clash determines whether 2027 courtrooms treat midterm pricing as evidence of forecasting value or as confirmation that retail traders were sold expensive noise. Media embeds through Bloomberg and CBS News make the reputational stakes concrete: millions of readers encountered these numbers as authoritative, so any credibility fracture converts to consumer-harm claims in state filings. The platforms must now defend their record while explaining what prediction markets actually measure.
Better Markets joins a running accuracy debate that already includes a Tennessee station's primary-season critique, with platforms now fielding challenges from both academic and broadcast corners as legal pressure mounts.