As discussed in Chapter 7, we often substitute a good (internally generated) narrative or story for a comparative (“outside”) analysis when we attemp… - Robyn Dawes

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As discussed in Chapter 7, we often substitute a good (internally generated) narrative or story for a comparative (“outside”) analysis when we attempt to understand something unusual. We also often substitute pure association for comparison. This reliance on coherent “explanations” provides what is really an illusion of understanding, rather than understanding.
In this chapter, I present the other side of the coin. That is, even when we have a perfectly valid statistical explanation for a phenomenon, we may ignore it because no “good story” accompanies it to persuade us that we should believe it.

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About Robyn Dawes

Robyn Mason Dawes (July 23, 1936 – December 14, 2010) was an American psychologist who specialized in the field of human judgment.

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Birth Name: Robyn Mason Dawes
Alternative Names: Robyn M. Dawes R. M. Dawes

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Unfortunately, there are many irrational conclusions and beliefs in our culture from which to choose. Those analyzed at some length—and as precisely as possible—are those with which I am most familiar. With public opinion polls indicating that more people in the United States believe in extrasensory perception than in evolution, it is not surprising that examples abound.

The DID problem is an example of arguing from a vacuum. The argument is basically that if one type of procedure (diagnosis, therapy, business venture, or whatever) does not work, then something else will. Well, perhaps nothing will work, or perhaps the only reason we observe that something did not work is that we were ignoring the cases in which it did—often because, for some very compelling social reasons, they never come to our attention.
I have discovered this argument from a vacuum often in the context of various “critiquing” studies of statistical versus clinical prediction. There is one overwhelming result from all the studies: When both predictions are made on the basis of the same information, which is either combined according to a statistical (actuarial) model or combined “in the head” of an experienced clinician, the statistical prediction is superior.

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A closely allied type of irrationality is termed irrefutability. This name relates to the idea that a good scientific theory should be refutable: At least in theory, there should be some evidence that would lead us to doubt or reject the theory. If all evidence is simply interpreted as supporting it, then it is termed irrefutable, which is a hallmark of pseudoscience, not of science.

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