Prediction Markets Proved Their Accuracy in the 2026 Midterms and Deserve Trust Over Spin-Driven Media and Advertising
Source: "Kalshi prediction markets correctly called 98% of 2026 midterm races | Fox News." November 7, 2026. www.foxnews.com
The Gist
The author says that prediction markets, where people bet real money on outcomes, called nearly all the 2026 midterm races correctly and have a long record of prices matching real-world odds. Because traders risk their own money, he argues they are more trustworthy than campaigns, ads and media spin, and critics who point to a few upsets misunderstand how probabilities work.
Conclusion
Prediction markets like Kalshi are a reliable, valuable source of information that vindicates them against their critics and offers Americans a way to cut through politically motivated spin and media noise.
Premises
- Kalshi's markets had the eventual winner in front in 98% of tracked federal contests in the 2026 midterms, including accurately pricing competitive battleground races.
- Across more than 2.2 million resolved Kalshi markets since 2021, prices have been well calibrated: events priced at 30 cents happen about 30% of the time and events priced at 90 cents about 90% of the time.
- Independent analyses (Brier.fyi, a PNAS study of over 1 million forecasts across four platforms, and a Washington Post review of primaries) found similar calibration, so the result is not unique to Kalshi's own data.
- Upsets such as Annie Andrews' win over Sen. Darline Graham in South Carolina (priced at about 1-in-3) are consistent with calibrated probabilities and do not show that the markets fail.
- Campaigns, super PACs, analysts and media outlets have financial or ideological incentives to spin, whereas market participants must put their own money behind their beliefs, which rewards accurate information.
- Prediction markets also create economic demand for research and data journalism, improving the broader information ecosystem.
Assumptions
- Calibration and a high rate of picking winners are adequate measures of a market's informational value.
- Money at stake makes participants more truthful and better informed than campaigns, pundits or pollsters.
- Past accuracy, including in non-competitive races, generalizes to future events and to close or high-stakes contests.
- Predicting the favorite in most races (many of which are non-competitive) is meaningful evidence of insight rather than a trivial achievement.
- Kalshi's self-reported statistics are representative and not subject to selection or reporting bias.
- The benefits of prediction markets outweigh concerns raised by regulators and critics (manipulation, insider trading, gambling harms), which the author treats as unfounded or conspiratorial.
- Prediction markets are largely independent of the media and polling information they rely on, so they provide a genuinely separate check.