How to Actually Understand P-Hacking (Step-by-Step)

Let's be brutally honest: P-Hacking 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.

1. The Core Mechanism

The fundamental rule of P-Hacking is straightforward. Your goal is to isolate your knowns, set up your framework, and apply the rule systematically.

2. The Real-World Application

Theory is useless without execution. Here is what this looks like:

• By pure mathematical chance, 1 out of 20 random variables will show a p-value < 0.05. If you don't correct for multiple comparisons (like Bonferroni), your results are fake.

3. The Fatal Flaw to Avoid

The easiest way to lose points is testing 50 variables and only reporting the significant one. Mark this in your notes right now. When you review your test, specifically check your work for this error.

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