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The Madison Avenue Field GuideA field guide to marketing & advertising, by Brandon Mina

GlossaryMeasurement & AttributionPeeking

Measurement & Attribution

Peeking

Repeatedly checking test results and stopping as soon as they look significant, which inflates the false-positive rate in fixed-horizon tests.

By Brandon MinaCEO, BrandPilot AIUpdated November 2026

Short answer

Peeking is the practice of repeatedly checking A/B test results and stopping as soon as they look statistically significant. In fixed-horizon tests, each extra look adds another chance for random noise to cross the threshold, inflating the false-positive rate. Pre-setting the sample size or using sequential testing methods avoids the problem.