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why is it important to distinguish between correlation and cause and effect?
correlated variables are not statistically significant.
when one variable causes another, that doesn’t mean that the variables are necessarily related, only that they occur in tandem.
studies that look for cause and effect run the risk of asking leading questions, which yield unreliable answers.
two variables can be related to each other, but that does not imply that one causes the other.
Correlation shows a relationship between variables, but does not imply causation. Just because two variables are related does not mean one causes the other.
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Two variables can be related to each other, but that does not imply that one causes the other.