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This fallacy identifies a relationship between two things but mischaracterizes it. Two things may be correlated without being causally connected, or the causal direction may be reversed, or both may be caused by a third factor.
Also known as Correlation vs. Causation, this is a informal fallacy — the error lies in the content or context of the argument rather than its formal structure.
"Cities with more fire stations have more fires, so fire stations must cause fires." Both variables are actually driven by a third factor: city size.
"Fire stations and fire frequency both correlate with city population. Larger cities have more of both. The fire stations don't cause fires — they're both effects of the same underlying variable."
When two things correlate, consider three possibilities: A causes B, B causes A, or C causes both. Also consider that the correlation might be coincidental. Only controlled experiments can establish causation reliably.
Paste your text above to scan for incomplete relation fallacy patterns and other reasoning errors. Each flagged passage includes an explanation and a suggestion for making the argument stronger.
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