Do not be fooled into thinking a significant correlation implies you to make statements
Correlation does not imply causation is a reminder that although a statistically
significant correlation might exist between two variables, it does not imply that one causes the
There are many reasons why correlation does not imply causation: reverse causation where
causation is actually in the opposite direction; bidirectional causation where a change in one
variable causes a change in the other and vice-versa; a third unobserved variable that is the
actual cause of the correlation; or simply a coincidence.
Correlation is a hint to investigate further, where possible using a controlled experiment. In some fields controlled experiments are impossible. Instead, cause and effect can be established only by observing the same thing in a wide variety of scenarios until all but the suspected cause can be ruled out. Even then the causal relationship can only be confirmed when you discover the underlying mechanism of the cause and effect.