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Data Dredging

nounverified·updated May 18, 2026

A statistical bias in which testing huge numbers of hypotheses of a dataset may appear to yield statistical significance even when the results are statistically nonsignificant.

Framework senses

Towards a Standard for Identifying and Managing Bias in Artificial Intelligence1 senseview framework →
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A statistical bias in which testing huge numbers of hypotheses of a dataset may appear to yield statistical significance even when the results are statistically nonsignificant.