Benjamini-Hochberg FDR Under Correlated Gaussian Tests
resolvedconfidence 70%
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Precise statement
Does the Benjamini-Hochberg procedure always control the false-discovery rate at its nominal level for correlated two-sided Gaussian p-values? A factor model gives $\mathrm{FDR} > 0.0104$ at nominal level $\alpha = 0.01$.
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fidelity, correctness, priority, or novelty.
What AI did
GPT-5.6 Pro
The counterexample was obtained by GPT-5.6 Pro and carefully checked by the author, with a rigorous interval-arithmetic certificate valid for all sufficiently large numbers of hypotheses.
arXiv:2607.12208 - The Benjamini-Hochberg procedure can fail to control the FDR
VibeMathed reports this item as resolved. VibeMath preserves that report as a source assertion and has not independently authored a plain-language mathematical explanation.
Known method families
construction (source-reported)
Source-reported tools: construction.
Independent: unknown · difference confidence: 0
What remains uncertain
VibeMath has not independently audited the mathematical statement, proof, or novelty claim.
VibeMath has not independently verified the mathematical claim.
AI-attempt independence and training-data exposure are unknown unless explicitly documented.
VibeMath has not independently audited the mathematical statement, proof, or novelty claim.