The Biggest Mistake Students Make With A/B Testing

Let's be brutally honest: A/B Testing is usually taught terribly in textbooks. You don't need to be a genius to master this; you just need to understand one specific mental model.

Did you make this error?

• The Trap: stopping the test before reaching statistical significance
• The Proof: Read this scenario: If Version B gets 5 conversions and Version A gets 2, it looks like B won. But with such a small sample, it's just statistical noise. Wait for significance.

If your logic doesn't match the proof above, you've fallen for the trap. Erase it and start over.

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