This Statistical Test Can Save You 22% of Your Data (and Time)

This article compares the safe t-test and mSPRT in terms of sample size, stopping times, and statistical power through extensive simulations. Across all tested effect sizes, the safe t-test consistently stops earlier, requiring up to 22% fewer samples to reject the null hypothesis compared to mSPRT — and far fewer than a classical t-test. These results make it a compelling choice for faster, more efficient A/B testing, especially in high-stakes applications like real-time outage detection.