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Thinking and Deciding

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WHAT IS PROBABILITY? 109<br />

have it. Likewise, the logical view is ordinarily useless as a justification for making<br />

probability judgments, except in textbook (or casino) cases of “fair” (perfectly<br />

unbiased) coins <strong>and</strong> roulette wheels.<br />

The personal theory<br />

The personal view of probability differs from the others in seeing probability as a<br />

personal judgment of the likelihood of a proposition or event rather than an objective<br />

fact (Savage, 1954). By this view, a probability judgment can be based on any of<br />

one’s beliefs <strong>and</strong> knowledge, including knowledge about frequencies or about the<br />

set of logical possibilities, but including other knowledge as well. Different people<br />

have different beliefs <strong>and</strong> knowledge, so two reasonable people might differ in their<br />

probability judgments. Thus, a physician may be justified in saying that a particular<br />

smoker has a .20 probability of getting lung cancer, even though the relative<br />

frequency of lung cancer among smokers is .40. The patient in question might, for<br />

example, have lungs that look healthy on an X-ray film. Some other physician might<br />

be justified in saying that the probability was .30. Even if two people both had all<br />

of the relevant beliefs <strong>and</strong> knowledge for a given case, their judgments might still<br />

differ, although, as we shall see, we would not expect their judgments to differ by<br />

much.<br />

The personal view makes the important distinction between the well-justified<br />

construction of probability judgments <strong>and</strong> their evaluation. The constructive part<br />

of the theory provides a normative theory (<strong>and</strong> in some cases a prescriptive theory)<br />

for our thinking about probability judgments. Probability judgments are not simply<br />

waiting in our heads to be pulled out when needed. Good thinking about probability<br />

judgments can help us both with forming beliefs consistent with our evidence <strong>and</strong><br />

with assigning numerical probabilities to those beliefs.<br />

The evaluation of probability judgments becomes more difficult when we accept<br />

the personal view. According to the other theories, a probability judgment can be<br />

evaluated in terms of frequencies or exchangeable events. By the personal theory, it<br />

is possible for one judge to be better than another, even if both make well-justified<br />

judgments. We need a way of assessing a judge’s track record. (We shall find one,<br />

later in this chapter.)<br />

The main advantage of the personal view is that it applies more widely. It allows<br />

us to make probability judgments about anything, even unique events such as who<br />

will win the next U.S. presidential election. It therefore allows us to use our feelings<br />

that certain propositions are more likely to be true than others, even though we cannot<br />

justify these feelings in terms of relative frequencies or exchangeable events.<br />

An apparent disadvantage of the personal view is that with this theory we have<br />

difficulty explaining why we ought to pay attention to knowledge of frequencies (for<br />

example, of the occurrence of diseases). If 10% of the last 10 million smokers have<br />

developed lung cancer, it seems wrong to believe that a particular, r<strong>and</strong>omly selected<br />

smoker in this group has a 2% probability of developing lung cancer. Later, in the

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