Experimental design & Statistical Analysis
Correlation vs. Causation: The Confounding Variable Trap
One of the biggest pitfalls in data science (and in life, really) is assuming that correlation implies causation. Just because two things move together doesn’t mean one causes the other. Let’s break it down with examples, common mistakes, and ways to avoid falling into this trap. Correlation: When Two Things Read more…
