Millions watched Kalshi’s election odds without betting a dollar

Kalshi's prediction markets attracted massive attention during the recent midterm elections, with millions of people following the odds without placing any bets. The platform reported that viewers of its midterm markets outnumbered traders five to one, demonstrating a growing trend of using financial markets for political forecasting rather than gambling.

The company's post-election recap revealed more than $2.5 billion in midterm trading volume, compared with $1.3 billion for the 2024 election cycle. While these figures are hard to verify and represent notional volume rather than actual money changing hands, they indicate significant growth in prediction market activity.

Kalshi's election hub combines market odds with polling averages, fundraising figures, and campaign news, giving visitors multiple ways to follow races in one place. This approach allows both active traders and passive observers to gauge political developments through different lenses.

Political Forecasting Evolution

The practice of using prediction markets for political forecasting has evolved significantly since 2008, when CNN's Wolf Blitzer turned to internet reporter Abbi Tatton for updates on Barack Obama's running mate speculation. Tatton cited a number from Intrade showing Joe Biden trading at about 36%, demonstrating how prediction markets entered mainstream political coverage.

Biden led the other candidates she named and would ultimately get the job, although 36% still left substantially more room for someone else to be chosen.

Unlike polls that gather answers from a sample of people, prediction markets set prices at which participants will trade based on their expectations. A contract paying $1 if a candidate wins might trade at 65 cents, commonly interpreted as roughly a 65% chance of victory, though fees and contract rules slightly alter these percentages.

Market Dynamics

Prediction markets offer continuous updates between polls, adjusting after debates, absorbing new returns, or reflecting changes in how traders interpret available evidence. However, Kalshi acknowledges that fresh information is only one cause of price movements, as trader behavior can also push prices away from reasonable estimates.

An experiment involving 1,994 registered voters showed how easily displayed odds can shape expectations. Participants seeing pairs of hypothetical candidates with varied polling figures and market odds were more likely to identify candidates with higher displayed odds as expected winners.

During the midterms, Kalshi's markets reached 99% for Democratic House control at 8:10 p.m. Eastern and passed that threshold for Senate control at 9 p.m. The company claimed its prices reflected anticipated results ahead of television networks, though an exchange and a newsroom answer different questions—one expressing probability, the other declaring a definitive outcome.

Future of Political Tracking

Kalshi's recap points readers toward international elections and the 2028 presidential contest, inviting continued engagement with prediction markets. The platform depends in part on reporting from organizations like the Associated Press, which supplies Kalshi with vote counts and race calls that traders can use to reconsider their positions.

Spectators likely want early estimates from prediction markets but still wait for newsrooms to declare winners, creating a complementary relationship between financial forecasts and traditional journalism. As prediction markets grow in influence, observers must decide how much authority to give to price movements, especially when those movements are the only thing that has changed.