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You are talking about causation. Judging form your statement B is dependent on A. However trends can be coincidence.

An example would be on Fridays everyone wore purple. On any other they did not wear purple. Does not mean that people can not wear purple on other days it could be just peoples moods or laundry day. It could be other factors acting making the effect.

A and B could be dependent on C meaning that if C doesn't happen neither of them can happen. This means that you can not measure A's effect on B because of C.

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12y ago
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2w ago

One example that proves this reasoning wrong is the concept of "correlation does not imply causation." Just because two events are related (A and B), it doesn't necessarily mean that one caused the other. There could be other factors at play that influence both events or the correlation could be coincidental.

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Q: If A happened then B happened if A had not happened then B would have not happened Therefore a caused B Can you think of a example to prove that this reasoning is wrong?
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