The incorrect idea that if two variables are associated in time, one must necessarily cause the other is known as:
A) the association-is-causation fallacy.
B) the fallacy of composition.
C) a primary effect.
D) a secondary effect.
E) a behavioral assumption.

Question

Quizplus · Accepted Answer

The association-is-causation fallacy is a common mistake in assuming that just because two variables are associated in time, one must necessarily cause the other. This is a faulty assumption and can lead to incorrect conclusions being drawn from data.

The Incorrect Idea That If Two Variables Are Associated in Time