AI fact-check backfire: Greenberg says smaller studies do yield more false positives
SpencrGreenberg · x · 2026-11-02
In the latest entry of his public AI fact-check thread, Spencer Greenberg shares "Error 2": the AI disputed his claim that studies with fewer participants produce more false positives, arguing that significance level α governs Type I error while small samples mainly reduce power (Type II error). Greenberg counters that in real-world practice smaller studies DO create more false positives — the AI's reasoning matches textbooks but is still wrong in substance. He reworded his post for clarity.
Related event: Spencer Greenberg Lets AI Fact-Check His Own Writing(4 posts)→
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