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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… - Robyn Dawes
" "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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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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Robyn Mason Dawes
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Robyn M. Dawes
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R. M. 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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Again, what cannot be is not, and what is can be regarded as an instance of what can be. Individuals who make pseudodiagnoses on the basis of “typical” characteristics—by attending only to the numerator of the likelihood ratio rather than to both numerator and denominator—will similarly be doomed to failure by making diagnoses that are not empirically supported. Because such a diagnostic procedure is based on irrationality, it cannot in general succeed. And similarly, people who argue that both the evidence and its negation support the same conclusion are arguing irrationally, and hence the conclusions will be empirically flawed. The principle is the same.
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