Definition
Correlation indicates that two variables move together, while causation means one variable directly causes the other. It is important not to assume causation solely based on observed correlation.
Why it matters (in Poovi’s context)
The source presents potential correlations (e.g., extreme weather and planning, planning and wealth, planning and clothing colour) which might be mistaken for direct causal links without further investigation.
Key properties or components
- Statistical association
- Potential for spurious relationships
- Need for rigorous testing to establish causality
Contradictions or debates
The presentation of these potential links could implicitly suggest causation, which is a common logical fallacy.