A/B Test Analysis and Statistical Rigor ReviewerPREMIUM

## CONTEXT
Most A/B test conclusions are wrong because the analysis ignores statistical fundamentals: peeking inflates false positives, underpowered tests miss real effects, and multiple metrics without correction manufacture significance. In 2026, with experimentation platforms making tests trivial to launch, the…