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688. When Is a Bet Not a Bet?

September 25, 2026

AI Summary

5 min read

When Is a Bet Not a Bet?

In January 2025, Kalchi—the largest prediction market in the United States—began offering bets on sporting events. Within weeks, nearly 90 percent of its trading volume came from sports. The company, which had spent years positioning itself as a federally regulated derivatives exchange rather than a gambling platform, suddenly looked a lot like DraftKings or FanDuel. That transformation has set off a legal and regulatory battle over a surprisingly slippery question: when does a prediction market bet become gambling, and when is it a legitimate financial trade?

The Wolf-and-Sheep Model of Market Accuracy

George Mason University economist Robin Hansen, who has studied prediction markets for decades, argues that their value lies in information aggregation. He describes markets as having two kinds of traders: "wolves," who have genuine information and trade to profit from it, and "sheep," who trade for other reasons—retirement contributions, entertainment, or just noise. Wolves want to trade against sheep, not other wolves, because that's where the profit is. This dynamic, Hansen says, is what makes prices accurate. "Wherever the sheep accumulate in the world of markets, the wolves go there," he explains. "That's why Google stock has more accurate prices than some penny stock. Presidential election markets are more accurate than senatorial election

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What you'll learn

  • 1 (02:56) **Tarek Mansour Introduces Calci’s Vision** - The CEO of Calci, the largest US prediction market, frames regulatory risks as growth enablers rather than downsides.
  • 2 (05:03) **The Case for Prediction Markets** - Economist Robin Hanson argues that prediction markets consistently win on accuracy and can serve as a healthier alternative to social media.
  • 3 (09:54) **The Wolves and Sheep Model** - Hanson breaks down market mechanics using a predator-prey analogy to explain how accuracy emerges.
  • 4 (13:00) **Casino vs. Exchange: The Calci Model** - Mansour distinguishes Calci from sportsbooks by explaining its neutral, fee-based exchange model.
  • 5 (15:43) **How Calci Makes Money** - The platform uses a parametric fee structure and incentivizes liquidity without acting as a market maker.
  • 6 (17:36) **Wash Trading and Guardrails** - Mansour addresses allegations of wash trading and describes the platform’s responsibility to design user protections.
  • 7 (22:01) **The Federal vs. State Showdown** - The legal battle over whether prediction markets are gambling or federally regulated derivatives heats up.

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Show Notes

That’s the question at the heart of a battle between Kalshi and state gambling regulators. As prediction markets boom, there are other questions, too — about insider trading, market manipulation, and whether the public has turned against them. (Part two of a two-part series.) 

 

 

 


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