Robin Hanson, a professor at George Mason University, has defended the use of insider information in prediction markets amid increasing regulatory scrutiny. As platforms like Kalshi and Polymarket face potential bans on insider trading, Hanson argues that such information is crucial for achieving accurate pricing, which is the primary goal of prediction markets. He suggests that insider trading helps drive prices toward truth, surpassing traditional news and polls. Hanson highlights the prevalence of insider trading in conventional financial markets and calls for a balanced approach that allows for information flow while protecting secrets through contracts. He believes that prediction markets serve as democratic tools for aggregating information, though not everyone may be suited to participate. Hanson emphasizes that participants should be responsible for their own gains and losses, akin to playing poker.