Statistical Thinking
Correlation ≠ Causation
7 min+70 XPStep 1/10
Two curves that move together
Ice cream sales and drowning deaths rise and fall together — tightly correlated. Does ice cream cause drowning? No: summer causes both.
Correlation measures how two variables move together. Causation says one produces the other. Correlated variables can be:
- Genuine cause → effect (smoking → cancer)
- Effect → cause, backwards (sick people take more medicine)
- Both driven by a hidden third factor — a confounder (summer → both)
- Pure coincidence (margarine consumption vs Maine's divorce rate — a real, spurious pair)
analogy
Correlation is two people dancing in sync. Causation means one is leading. Often there's a DJ — a hidden confounder — making both move.