Common Analyst Mistakes: P-Hacking, Metric Slicing, and Post-Hoc Stories
A field guide to the statistical mistakes that destroy credibility. Learn to recognize p-hacking, cherry-picking segments, and post-hoc rationalization—in your own work and others'.