03 MAR 2014 by ideonexus

 Correlation != Causation; However, It is Often All We Have

> correlation doesn't mean causation. As a statistician, I guess I should be happy that more people are aware of this. But I also think too many people are taking "correlation != causation" superficially. I mean, almost all of science is based on significant correlational findings, especially when the traditional way to prove causation (i.e. via randomized trial) is unethical (i.e. we can't randomly assign people to be insured vs. uninsured). Along these lines, I often find people who sa...
  1  notes

Examples of when correlation should be taken seriously.