A take-home midterm at Brown University averaged 96, then the same students averaged 48 on the in-person final, and that gap tells the whole story. Host Emily Laird walks through how economist Roberto Serrano, a professional game theorist, caught roughly fifty suspected AI cheaters without detection software: he simply designed a test the fakes could not afford to sit. This episode covers the statistical fingerprint of unedited ChatGPT proofs, the students who confessed by dropping the course, and why a room full of desks outperformed the entire AI-detection industry. If you evaluate people for a living, Serrano just handed you the template.

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