Distinguishing Correlation from Causation
A correlation is a statistical assessment that two variables have moved together, whereas causation implies that a change in one variable directly produces a change in the other. Establishing a causal relationship is more restrictive because it requires identifying the underlying mechanism that connects the variables. Therefore, simply observing that two things have moved together is not sufficient proof of a cause-and-effect link.
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