Economist Advocates for Insider Trading in Prediction Markets Amid Recent Crackdowns

The Department of Justice has charged a U.S. Army soldier with five felonies for allegedly using classified intelligence to bet $33,000 on Polymarket regarding an operation to capture Nicolas Maduro, cashing out approximately $400,000 after the event.

Kalshi fined and suspended three federal candidates for engaging in insider trading by betting on their own races. In response to mounting pressure, Kalshi and Polymarket have implemented new restrictions prohibiting politicians from trading on their own campaigns, athletes from trading in their own leagues, and employees from trading on contracts tied to their employers.

Robin Hanson, a professor at George Mason University, argues that insiders should be encouraged to trade in prediction markets to achieve more accurate prices. Hanson, who helped develop the market scoring rule used by many prediction markets, stated that the primary purpose of these markets is to inform decisions.

>"You want them trading," Robin Hanson, a George Mason University professor who helped develop the market scoring rule used by many prediction markets, said of insiders. "You want the most accurate prices. " He emphasized that encouraging insiders to trade enhances the informational value of market prices.

acknowledged tradeoffs between organizations wanting to keep secrets and the larger world's interest in knowing them. He suggested that society should not go to extremes on this spectrum. Sen. Elissa Slotkin, a Democrat from Michigan and co-sponsor of legislation to bar government employees from trading on prediction markets, described a soldier's large bet on a mission as an operational risk.

Hanson compared prediction markets to traditional financial markets, noting that insider trading is rampant there and that the SEC prosecutes only a small portion of such trades.

pointed out that insider trading was not always illegal and that rules expanded about 15 years ago to include anyone who promised to keep a secret. He advocated for an intermediate tradeoff, allowing organizations to use contracts to keep secrets while permitting mechanisms like journalism to uncover information.

Hanson proposed that any legislation barring government employees from trading on prediction markets should logically also bar them from talking to reporters. He criticized an elitist attitude that certain groups should control key information aggregation, rejecting the exclusion of ordinary people from these markets.

addressed concerns about losses in these markets by advising individuals to recognize their odds and avoid participation if disadvantaged. He viewed prediction markets as a democratic institution where everyone can participate, though not everyone is recommended to do so.

Examples of markets revealing information include bets on a surprise Super Bowl guest and specific pardons issued in the final hours of the previous administration, where an anonymous trader netted roughly $300,000. President Donald Trump stated he was never very much in favor of prediction markets, despite family business ties to the platforms.

Hanson equated criticisms of prediction markets exploiting people to similar issues in ordinary financial markets. He drew parallels to other risk-taking behaviors in modern society, such as pursuing artistic dreams or personal financial decisions.