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It is important to bear in mind that [[correlation is not causation]], or in other words that the change in one variable is not automatically the cause of the change in the other variable. There could be other relationships at work instead, e.g., a common underlying cause for both, a reversal of cause and effect, or coincidence. It is also important not to commit the [[Logical_fallacy#Post_hoc_ergo_propter_hoc|''post hoc'' fallacy]].
It is important to bear in mind that [[correlation is not causation]], or in other words that the change in one variable is not automatically the cause of the change in the other variable. There could be other relationships at work instead, e.g., a common underlying cause for both, a reversal of cause and effect, or coincidence. It is also important not to commit the [[Logical_fallacy#Post_hoc_ergo_propter_hoc|''post hoc'' fallacy]].
==See Also==
*[[Cause and effect]]
==References==
==References==