Dave Tomkins and Panagiotis Tsigaris focus their fine analytical stats skills on how to not to make the wrong kind of error…yes, that should be the right logic…regarding global warming. They elegantly lay out the math behind what we all know intuitively…nothing is to be lost from taking precautions regarding global warming, or avoiding Type II statistical error, which comes, not from assuming that humans caused global warming, even when we didn’t, but rather being unable to prove that humans cause global warming, when in fact we are causing it. They present the statistics in the context of a course case study and make it clear that we have no reason to wait on the data since the potential for this type of error is already with us and the actions to be taken are probably beneficial in other areas as well.
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