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Exercises 293<br />

Odds in favor<br />

of events<br />

Probability of<br />

event<br />

Evens 1:4 1:10 1:100 1:1000 1:10000<br />

0.5<br />

Figure 10.6 – A log-odds scale<br />

0.2 0.1<br />

0.01<br />

0.001 0.0001<br />

for probabilities below 0.5). An analyst using the scale would ask the<br />

decision maker to mark the point that represents his or her assessment<br />

of the likelihood of the event occurring. Note that the effect of using logodds<br />

is to spread out the ends of the probability scale, making assessment<br />

of very high and low probabilities clearer. The scale also ranges from<br />

minus to plus infinity, which makes it very difficult for individuals to<br />

assert that particular events are impossible or certain to occur. According<br />

to Bunn and Thomas, 7 the log-odds scale appears to correspond to the<br />

internal scale which individuals use when assessing odds.<br />

Summary<br />

In this chapter we have described the process by which a decision<br />

analyst elicits subjective probability assessments from the decision<br />

maker. Within the analyst’s toolbox of techniques are indirect and direct<br />

methods for both discrete and continuous assessments. Consistency and<br />

coherence checks are used extensively to police the assessment process,<br />

since validity is a more problematic criterion. The chapter concluded<br />

with a description of assessment methodologies that are used for very<br />

rare events.<br />

Exercises<br />

(1) Use the probability wheel and direct estimate methods to elicit a colleague’s<br />

subjective probabilities for the outcomes of a forthcoming<br />

sports event (e.g. a snooker tournament). Check for consistency<br />

between the assessment methods and use the addition rule to<br />

evaluate the coherence of the probabilities that your colleague<br />

has assessed.

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