Analytics & Metrics

Statistical Significance

Quick answer

Confidence that a test result reflects reality rather than randomness.

Definition

Significance quantifies the probability that observed differences between variants are real. 95% confidence still means one in twenty 'winners' is noise - and stopping tests at first significance inflates false positives further.

Why it matters

Acting on noise feels like velocity and performs like gambling; significance discipline separates experimentation programs from superstition.

Benchmarks

Pre-commit to 95% confidence and minimum sample before launch


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