Data
Study finds Kalshi weather markets outperform public meteorologists
A new paper by Alexander W. Crosier examines Kalshi's next-day weather markets and finds the prediction platform beats the most accurate public forecast. The research evaluates the accuracy of Kalshi's crowd-sourced weather predictions against professional meteorological forecasts.
Why this matters?
Offers empirical validation that prediction markets can aggregate information more effectively than expert models in specific domains, which could encourage institutional adoption of event contracts for forecasting beyond politics and finance.
The bigger picture
Becomes the third separate validation this week of predictive value embedded in Kalshi pricing, after professional meteorologists and French banking models already found the platform's crowds beat conventional forecasts.
In this story