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Thinking and Deciding

Thinking and Deciding

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Chapter 2<br />

The study of thinking<br />

Descriptive, normative, <strong>and</strong> prescriptive<br />

Here is a problem: “All families with six children in a city were surveyed. In seventytwo<br />

families, the exact order of births of boys (B) <strong>and</strong> girls (G) wasGBGBBG.<br />

What is your estimate of the number of families surveyed in which the exact order<br />

ofbirthswasBGBBBB?”<br />

Many people give figures less than seventy-two as their answers, even if they<br />

believe that boys <strong>and</strong> girls are equally likely (Kahneman <strong>and</strong> Tversky, 1972). Apparently<br />

they feel that the second sequence, which contains only one girl, is not<br />

typical of the sequences they expect. In fact, if you believe that boys <strong>and</strong> girls are<br />

equally likely, your best guess should be exactly seventy two. This is because the<br />

probability of each sequence is 1/2 · 1/2 · 1/2 · 1/2 · 1/2 · 1/2 or 1/64, thesame<br />

in both cases. In other words, the two sequences are equally likely. The births are<br />

independent: The probability of each one is independent of what came before. In<br />

this case, multiplication of probabilities yields the probability that the particular sequence<br />

will happen. This multiplication rule is a design, which we can underst<strong>and</strong> in<br />

terms of its purpose, which we can think of, for now, as corresponding to the correct<br />

proportions of possible sequences.<br />

What makes this problem tricky is that the first sequence looks more like the kind<br />

of sequence you might expect, because it has an equal number of boys <strong>and</strong> girls, <strong>and</strong><br />

the sexes alternate fairly frequently within the sequence.<br />

This problem can help us illustrate three general models, 1 or approaches to the<br />

study of thinking, which I shall call descriptive models, prescriptive models, <strong>and</strong><br />

normative models.<br />

1 The term “model” comes from the idea that one way to underst<strong>and</strong> something is to build a model of it.<br />

In this sense, the game of Monopoly is a model of real estate investment. In this book, the term “model”<br />

is used loosely to mean “theory” or “proposal.” Sometimes, however, the models will be more detailed —<br />

for example, computer models or mathematical models.<br />

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