Correlation is not causation — Sociology, 14–17 years
Learn why two things changing together does not prove that one caused the other. Sociology, 14–17 years.
Idea
A correlation is a pattern in which two measurements tend to change together: as one rises, the other often rises or falls. Causation is a stronger claim that changing one thing helps produce a change in the other, so correlation is a clue, not a conclusion.
Why it matters
People want simple explanations, and a striking pattern can look like an answer. Sociologists therefore separate association from cause, checking time order, alternative explanations and research design; this prevents policies or personal decisions being built on a misleading headline.
Worked example
A town records ice-cream sales and swimming accidents each summer; both rise in July. Step one: note the correlation. Step two: reject the claim that ice cream causes accidents. Step three: consider a third factor, hot weather, which encourages both swimming and buying ice cream.
A common trap
The trap is assuming that the first thing mentioned caused the second, especially when a graph rises neatly. That mistake is reasonable because patterns help us predict and stories need a direction, but another cause, reverse causation or chance may explain the relationship.
Where it appears
You meet this distinction in health advice, advertising, crime reports, education studies and social-media claims. Before accepting a causal statement, ask what was measured, whether the cause came first, what else changed and whether a comparison group was used.
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