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Mitigating A/B Testing Pitfalls

A/B tests can be misleading due to several pitfalls including peeking, multiple comparisons, Simpson's paradox, sample-ratio mismatch, novelty effects, and underpowered tests. These issues can lead to incorrect conclusions and poor decision-making. Identifying and addressing these pitfalls is crucial for accurate testing and reliable results.

Mathematics & logic, Mathematics, Arithmetic