Quote:
Originally Posted by Cube Inmate
But what you're advocating is taking the data behind these broken models and trying to find some new meaning for it. Well, you'll always be able to find some correlation to existing data that fits your agenda -- that's the nature of correlation. But it would be a waste of time doing so unless you have a reason to believe that correlation (causation, actually) should exist.
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Actually if you read what I said you'd see I'm advocating looking at everything, digging into the stats and seeing if you can find a reason that what looks to be good or high may not be.
Not sure why you'd boil it down to a flustered scientist want to make his hypothesis true when it isn't.