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687. Are Prediction Markets the Best Forecasting Tool Ever — or Just Another Casino?

September 18, 2026

AI Summary

5 min read

When a Disgraced Congressman Made $17,000 Betting on Himself

George Santos posted on social media that he would attend President Trump's State of the Union address. On the prediction market Calci, someone first bet that Santos would attend, then bet that he wouldn't. When Santos ultimately didn't show, that someone walked away with $17,000 in profit. The "someone" was George Santos himself. Calci responded by issuing its first-ever lifetime ban against an individual trader.

This incident captures both the promise and the peril of prediction markets—financial exchanges where people bet real money on questions about the future, from election outcomes to Federal Reserve rate decisions to whether a Super Bowl halftime performer was actually singing. The biggest U.S. player, Calci, processed roughly $4 billion in monthly volume as of early 2025. Its CEO Tarek Mansor insists these markets are "really the most accurate way to predict the future." But roughly 90% of that volume comes from sports betting, and nearly 20 states have already taken legal or regulatory action against prediction markets.

The Reinvention of an Old Idea

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What you'll learn

  • 1 (03:17) **The Ancient Problem of Prediction** - The episode opens by framing humanity's long struggle with uncertainty, from Greek oracles and sheep livers to Pleiades-watching potato farmers, and asks whether modern prediction markets are an upgrade or a disaster.
  • 2 (05:53) **Introducing Calci and Its CEO** - Steven Dubner sets the scene with the staggering valuations of Calci and Polymarket, then turns to Tarek Mansor, Calci’s CEO, who deflects talk of personal wealth.
  • 3 (09:58) **The Slow, Regulated Path** - Mansor explains why Calci spent four years getting regulated before launching, a deliberate anti-pattern to the typical Silicon Valley "move fast and break things" ethos.
  • 4 (14:44) **The Iowa Electronic Markets and Robin Hanson’s Vision** - The episode traces the intellectual history of prediction markets, from the University of Iowa’s 1980s experiment to economist Robin Hanson’s grand vision of "decision markets."
  • 5 (21:55) **Why Internal Prediction Markets Failed to Take Off** - Despite successful experiments at Eli Lilly and Google, internal prediction markets never spread widely, and Hanson explains the political resistance.
  • 6 (23:39) **Superforecasters and the Value of Non-Experts** - Mansor cites Philip Tetlock’s work to argue that domain expertise is less important than intellectual curiosity and self-calibration for accurate prediction.
  • 7 (28:01) **How a Calci Contract Gets Written** - Nicole Kagan, head of research and chief contract writer, takes listeners through the meticulous process of creating a legally robust prediction market contract.

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Show Notes

The promise is that they can beat the experts at predicting inflation, elections, and FDA approvals. But right now, roughly 90 percent of the action is sports. Is this a future we want to bet on? Stephen Dubner speaks with, among others, the C.E.O. of Kalshi. (Part one of a two-part series.)

 

 

 


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