Faulty Cause and Effect
(See also:
Fallacy: Confusing Cause and Effect)
This technique suggests that because B follows A, A must cause B.
Remember, just because two events or two sets of data are related does not necessarily mean that one caused the other to happen. It is important to evaluate data carefully before jumping to a wrong conclusion.
In order to determine that a fallacy has been committed, it must be shown that the causal conclusion has not been adequately supported and that the person committing the fallacy has confused the actual cause with the effect. Showing that the fallacy has been committed will typically involve determining the actual cause and the actual effect.
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