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Thinking and Deciding

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EXPECTED-UTILITY THEORY 237<br />

that probably did not exist 10,000 years ago <strong>and</strong> do not exist now in some people,<br />

such as the idea that 1 hour spent watching TV is a direct cause of having 1 hour<br />

less to spend on the homework that is due tomorrow (or an equivalent reduction in<br />

sleep). We apply the same measure across different content. The concept of utility<br />

as something we can treat in this way is an even newer idea, which may take a few<br />

hundred years to become as generally accepted as the idea of time or longitude.<br />

Can we be so precise about assigning numbers to amounts of good or goal<br />

achievement? In the early days of navigation, estimation of longitude was imprecise,<br />

but now it can be done within centimeters. The same was true when time was<br />

measured with sundials. Can we ever be this precise about utility as we are now with<br />

time <strong>and</strong> longitude? Probably not. Still, it is useful to suppose that there is a reality<br />

to it, just as their is to your longitude as you read this.<br />

We might try to escape this assumption by imagining that we could really only<br />

measure utility within some interval. Within that interval, any two points would be<br />

indistinguishable. This won’t work. Consider the following points:<br />

A B C D E F<br />

Suppose that A, B, <strong>and</strong> C, abbreivated A–C, were within the interval that makes them<br />

indistinguishable. And the same for B–D, C–E, <strong>and</strong> D–F. But if this were true, we<br />

could in fact distinguish A <strong>and</strong> B, because A would be outside of the interval B–D<br />

<strong>and</strong> B would be in it. Likewise for distinguishing B–C because of the interval C–E.<br />

Thus, there would in fact be no interval within which we could not distinguish one<br />

point from another. It is difficult to think of how such intervals could exist (Broome,<br />

1997).<br />

As in the case of any judgment, of course, when two outcomes are very close<br />

together, we will find it difficult to judge which is better, just as we find it difficult<br />

to judge which of two different colored patches is brighter or more saturated (less<br />

gray). If we make such judgment repeatedly (after forgetting our previous answers),<br />

though, we will find that we tend to favor one more than the other. In sum, the idea<br />

that utility is as precise as longitude — <strong>and</strong> as difficult to judge as longitude was to<br />

the early navigators — is not as unreasonable as it might seem to be at first.<br />

Expected-utility theory<br />

We have seen that some of the tradeoffs we must make involve conflicts between<br />

utility <strong>and</strong> probability. Simple examples are choices such as whether to live with a<br />

disturbing health problem or risk surgery that will probably help but that could make<br />

the condition worse; or whether to put money into a safe investment or into a risky<br />

investment that will probably yield more money but could result in a big loss. A<br />

decision of this sort is a gamble. Expected-utility theory deals with decisions that<br />

can be analyzed as gambles. The problem with gambles is that we cannot know the<br />

future, so we must base our decisions on probabilities.

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