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Correlation is not causation, etc.



  > Correlation is not causation, etc.
This certainly is a true and tested adage, but I've got a feeling that the correlation-backlash has gone too far in the other direction. Don't just repeat it without getting it. If substantiated through proposal of a suitable mechanism, correlation is solid corroboration of a causality-claim.

More precisely, correlation most definitely never implies absence of causation.


Upvoted because that is the most succint way I've read the response to that common retort in this entire thread.


No, but robust correlation implies causation somewhere nearby. It could be A->B, or B->A, or C->A and C->B, or something more complicated. This is where common sense and ability to propose mechanisms comes in and while I can easily see how less education could make someone less employable, I don't see how someone's current unemployment can change someone's past education attainment, for instance.


I was attempting to make what I thought was a rather obvious caution (which is why I kept my post so terse), but since my above comment has been downvoted to hell[1] I guess I should explain. I was not speculating that unemployment changes education background. My common sense agrees with yours in this regard. What I was trying to remind everyone is that this data doesn't distinguish between "education makes you more employable" and "bright/hardworking/advantaged/<insert hidden variable here> people do better in school and at the work."

[1] Why is the -4 display cap still in effect now that we can't see other people's scores?


Why is the -4 display cap still in effect now that we can't see other people's scores?

I think because the current experiment of not showing comment karma scores (other than your own comment karma scores) is done with minimal changes to the existing code base. See

http://news.ycombinator.com/item?id=2515825

for more background on the current experiment.




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