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Correlation is not equivalent to causation. Establishing causality requires more than just observing correlation; it demands additional background theory or evidence to prove a causal link.
Correlation is an association between two variables where a change in one is associated with a change in the other, while causation delves into cause and effect relationships.
It is crucial to understand that correlation does not imply or guarantee a causal relationship; rather, it is a starting point for investigating causation.
Establishing causality requires more than just observing correlation; it involves additional background theory or evidence to prove one variable causing another.
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