How E-Variables Prevent False Positive Inflation

Safe testing is a modern approach to hypothesis testing that overcomes pitfalls of classical methods like inflated false positives during optional stopping. By using E-variables, safe t-tests and safe proportion tests allow anytime-valid inference, making them especially useful for A/B testing and experiments where effect sizes are unknown. These methods maintain statistical rigor while offering flexibility that traditional p-value-based approaches lack.