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Clustered Standard Errors for AI Evaluation Methodology

Recommendation #2: Cluster standard errors Many evaluations (esp. reading-comprehension evals) include questions that are clustered together. These question clusters violate an assumption of the Central Limit Theorem—but they are a natural fit for clustered standard errors.

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