I'm a little tired of people waving around "correlation is not causation" incorrectly.It's more like, correlation doesn't tell you the direction of causation. If A and B are correlated, it doesn't mean that A causes B, but it does mean that there is some causal relationship, possibly involving a hidden variable causing it. C coincidental correlation would only show up if you have a data set small enough to cause the error.
The correct phrase is "correlation is not direct causation". There are time when correlation is coincidental, and where correlation is directly causational, but there are more times where the two events do have a common cause.
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All of those other conditions are symptoms of poverty as well.
posted by strixus at 9:46 AM on November 25, 2011 [2 favorites]