Type I Error (False Positive)
Incorrectly concluding there's a difference when there isn't one.
A Type I error happens when your A/B test results show a statistically significant difference between variations, leading you to declare a winner, but in reality, there's no actual difference – the result was just due to random chance. The probability of this is related to your chosen significance level (e.g., 5% chance for a 95% confidence level).
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