# Prediction markets' reputation shaken by surprise Wisconsin result Polymarket and Kalshi's near-infallible reputation took a hit after an unexpected outcome in Wisconsin's primary. - **Source:** [Fortune | FORTUNE](https://brifing.si/source/769282ef-327a-4454-909a-3c7936216004) - **Published:** 2026-08-14 - **Topic:** [Finance](https://brifing.si/c/finance) - **Original article:** - **On Brifing:** https://brifing.si/s/d9f739e5-29e6-416d-b8a2-91a6c61f1d29 ## Prediction markets' reputation damaged In Wisconsin's gubernatorial primary, prediction markets Polymarket and Kalshi, which gave Francesca Hong a 95% chance of winning, were shocked when she narrowly lost to David Crowley. This outcome shook the credibility of platforms that had gained a near-flawless reputation after accurately predicting the 2024 presidential election results. Polymarket deleted a tweet claiming Hong had a 96% chance of winning after the results came in. ## Platforms go on defense Kalshi's founders argued that the 95% prediction still allowed for a 5% chance of loss. CEO Tarek Mansour emphasized "5% is not 0%," highlighting that low-probability outcomes are part of market dynamics. Co-founder Luana Lopes Lara similarly stated that prediction markets are probability tools, not crystal balls. ## Rise after 2024 success Polymarket and Kalshi gained significant credibility by correctly predicting Donald Trump's victory in the 2024 presidential election, contrary to traditional polls. Post-election, CNN named Kalshi its official prediction markets partner, while Dow Jones announced plans to incorporate Polymarket data across Wall Street Journal, Barron's, and MarketWatch. ## Not the first miss The Wisconsin surprise wasn't prediction markets' first error. In June, platforms gave reality-TV personality Spencer Pratt a 75% chance in LA's mayoral primary, only for him to finish third. Similarly, in Kentucky's 4th Congressional District, a 75% prediction for Thomas Massie failed when he lost to a Trump-backed challenger. ## Difference from traditional polls Unlike traditional polls, prediction markets operate through participants staking money on outcomes. However, statistician Nate Silver cautioned that these aren't magical tools, stating, "Prediction markets are cool, but they're not magic," and shouldn't replace polls in models. ## Hong's campaign weaknesses Francesca Hong's loss is partly attributed to her failure to secure endorsements from prominent Democratic socialists like Bernie Sanders and Alexandria Ocasio-Cortez. Analysts also noted her campaign lacked the effective local organization that Crowley managed to build, particularly in rural areas. ## Crowley's surprise strategy David Crowley focused his campaign on direct outreach through social media and local communities rather than traditional media. His messages particularly resonated with young voters and rural Democrats, creating an unexpected support base that prediction markets failed to anticipate. Crowley's victory showed these markets might struggle with micro-trends. ## Future of prediction markets While the Wisconsin result reminds us prediction markets aren't infallible, their role in election analysis continues to grow. As trust in traditional polls declines, demand for alternative data sources increases. However, experts warn investors and media should evaluate these tools more critically, recognizing their limitations alongside their innovative potential. ## Sources covering this story - https://fortune.com/2026/08/13/prediction-markets-reputation-surprise-result-wisconsin/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._