Correlation does not imply Causation
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
Two variables changing together (e.g., ice cream sales and drowning incidents both rise in summer) does not mean one causes the other. There may be confounding variables (e.g., temperature).
SCAFFOLDING EFFECT
Reduce cognitive load
- Anti-deception filter: core mindset for identifying pseudoscience and marketing fluff (e.g., "people who drink red wine live longer" – is it because red wine is effective, or because those who can afford red wine have better healthcare?).
Anchor fast decisions
Correlation only shows co-variation, not causation; there may be a third variable or reverse causation. Prevents over-inference.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Correlation_does_not_imply_causationverified
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