Posted on May 7, 2013
You’ve probably read about or seen CR questions that confuse “causation” with “correlation,” but what does it mean in the real world? And why does it matter?
In statistics, let’s say we have data from two variables: x and y. They have a direct relationship. As one increases, the other increases. This could lead scientists to draw a conclusion that one variable causes the change in the other variable. But this isn’t necessary true! In fact, some third variable may be affecting both x and y! In order to prove causation and validate that one variable is indeed directly influencing the other and is the reason behind the detected correlation, further studies would need to be conducted, altering parameters, and recording outcomes.
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