https://en.wikipedia.org/wiki/Correlation_does_not_imply_cau...
https://en.wikipedia.org/wiki/Correlation_does_not_imply_cau...
In real life, were we can also draw from other experiences and make our "experiments" more targeted (as opposed to some scientific study involving obscure correlations), correlation is the best measure of causation.
So, while it might be the correct pedantic thing to say, in this correlation does very much imply causation. It's not like there are a lot of others, mysterious, factors at play here.
Besides blanket epistemological statements, how about we also do a little thinking on individual cases and how it applies to them?
http://www.michaelnielsen.org/ddi/if-correlation-doesnt-impl...
In truth, correlation does suggest causation, but not necessarily in the way one might expect. The WP article you linked goes into this.
All too often, this canard is trotted out to avoid thinking about where the causation might actually lay, rather than taking something seriously. It is precisely this that the shorthand is meant to prevent! Correlation does not imply causation, therefore you have to think carefully about the causation chain when considering two correlated events -- you can't just assume the causation isn't elsewhere, and you most definitely cannot assume it does not exist at all!
http://www.michaelnielsen.org/ddi/if-correlation-doesnt-impl...
See the mouseover text.
The counter assumption, that correlation proves causation, is considered a questionable cause logical fallacy in that two events occurring together are taken to have a cause-and-effect relationship.
This fallacy is also known as cum hoc ergo propter hoc, Latin for "with this, therefore because of this", and "false cause".
A similar fallacy, that an event that follows another was necessarily a consequence of the first event, is sometimes described as post hoc ergo propter hoc (Latin for "after this, therefore because of this").
edit: The comment about 'profile freshness' is intriguing, and possible an example of this.
Here's a primer:
http://www.michaelnielsen.org/ddi/if-correlation-doesnt-impl...
If we're using the normal English definition of "imply," then the statement is very often false.