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Equation 18 · Part 3 · Ten Ways an Agent Evaluation Can Mislead You Even When It's Working Correctly

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SEcluster=SEnaive×1+(m−1)ρ.\mathrm{SE}_{\text{cluster}} = \mathrm{SE}_{\text{naive}} \times \sqrt{1 + (m - 1)\rho}.
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What this part means

The expressions on both sides represent the same quantity under the stated assumptions.

Its job in the formula

The equals sign connects the complete expression on the left with the complete expression on the right. Both sides must have compatible units.

The passage around this formula

5. Non-independence between repeated trials. The confidence-interval formula above assumes each trial is independent of the others, and that assumption is often false in ways that specifically inflate confidence. Miller’s paper measures this directly: several widely used evaluation sets draw multiple questions from a shared context — several questions about the same passage, several sub-tasks from the same underlying scenario — and properly accounting for that clustering, rather than treating every question as its own independent draw, produced clustered standard errors “over 3x larger than naive standard errors” on the affected evals [ 8 ] . The general relationship is the one long used in…

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Learn the underlying idea

An equals sign says that the expression on its left and the expression on its right have the same value under the stated definitions and assumptions.

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Sources cited in the surrounding passage

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