Type II Error (False Negative)
Failing to detect a real difference that actually exists.
A Type II error occurs when your A/B test fails to find a statistically significant difference, so you conclude there's no winner, even though your variation actually does perform better than the control. This often happens when the test lacks sufficient statistical power (e.g., due to small sample size).
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