Just because there's a correlation between two data sets doesn't automatically mean there is causation between the two. Take, for example, the various examples of spurious correlations at the blog
Spurious Correlations. The site will even generate
new correlations at your request.
correlation = -0.933
correlation = 0.992
correlation = 0.993
These aren't from Spurious Connections, but they're relevant, too.
PS: In retrospect, maybe the title should be cum hoc ergo propter hoc rather that post hoc ergo propter hoc.
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