Prediction Markets Face Election Flak

By the Editorial Team · Monday, November 2, 2026

Prediction markets for the 2026 U.S. elections are seeing reduced trading activity and increased skepticism after recent unexpected international election results and challenges in traditional polling. Although these markets still project Democratic advantages in Congress, discrepancies with internal campaign polls and behavioral biases among traders highlight ongoing questions about their accuracy in political forecasting.

Prediction markets for the 2026 U.S. elections are facing increased scrutiny following unexpected election outcomes abroad and ongoing challenges in traditional polling methods. Recent surprises in Brazil, Serbia, and Israel have raised questions about the reliability of election forecasting tools, including both polls and prediction markets.

Polling itself has become more difficult due to a decline in the number of high-quality surveys and difficulties in reaching respondents willing to provide candid answers. This trend was evident in the United States during the summer, when Francesca Hong, widely favored to win the Democratic nomination for Wisconsin governor with a 96% chance according to prediction markets, ultimately lost to David Crowley.

Trading activity related to the 2026 U.S. elections has also diminished compared to 2024. Data from The Block indicate that prediction market platforms Polymarket and Kalshi recorded approximately $400 million in trading volume across all U.S. election markets last month through Oct. 28, a notable decrease from previous years. Both platforms currently assign Democrats a greater than 60% chance of regaining a Senate majority after the midterm elections and over a 90% likelihood of retaking control of the House.

Tarek Mansour, CEO of Kalshi, maintains that prediction markets offer more accurate forecasts than traditional public polling and serve as a reliable alternative to media-driven narratives. Following a surge in popularity during 2024, proponents argue these markets can account for biases inherent in polls and public opinion.

Despite these claims, significant discrepancies remain between prediction markets and internal congressional campaign polling, which suggests the Senate race may be much tighter than the markets currently indicate. Experts caution that while prediction markets aggregate information from traders buying and selling candidate contracts, they are still subject to behavioral biases. For example, research shows that traders often overbet on long-shot candidates, inflating perceived chances beyond realistic probabilities.

Further complicating public understanding is the mechanics of prediction markets themselves. Odds are established through the aggregated buying and selling of contracts tied to candidates, where heavier spending on a candidate’s side increases their implied probability of winning. Although these markets filter out certain political or demographic prejudices, the degree of certainty they offer is less definitive than some advocates imply.

While prediction markets have become widely used and accepted in sports betting, their effectiveness and reliability in forecasting political outcomes remain under evaluation as the 2026 election cycle progresses.

This article was reported by synthesizing coverage from multiple independent news outlets to present a balanced, unbiased account. Read about our editorial standards. Spotted an error? Let us know.