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Preparing for probability assessment 279<br />

will probably find it easier to give two separate assessments: one based<br />

on the assumption that the collaboration takes place and the other on<br />

the assumption that it does not.<br />

Conditioning<br />

The objective of this phase is to identify and thereby avoid the biases<br />

which might otherwise distort the decision maker’s probability assessments.<br />

It involves an exploration of how the decision maker approaches<br />

the task of judging probabilities. For example, are last year’s sales figures<br />

being used as a basis for this year’s estimates? If they are, there may<br />

be an anchoring effect. To what extent are the assessments based too<br />

heavily on the information which is most readily available, such as<br />

yesterday’s news, without taking a longer-term view? More generally,<br />

the heuristics and biases identified in Chapter 9 should be borne in mind<br />

by the decision analyst as he works through the assessment process with<br />

the decision maker.<br />

Assessment methods<br />

A number of different methods have been developed for assessing<br />

probabilities. Some of these require a direct response from the decision<br />

maker in the form of a probability or quantity, while others allow the<br />

probability to be inferred by observing the decision maker’s choice<br />

between bets.<br />

Assessment methods for individual probabilities<br />

Direct assessments<br />

The simplest way to elicit a probability from a decision maker is to<br />

pose a direct question such as ‘What is the probability that the product<br />

will achieve a break-even sales level next month?’ Unfortunately, many<br />

people would feel uncomfortable with this sort of approach, and they<br />

might be tempted to give a response without sufficient thought. Asking<br />

the individual to mark a point on a scale which runs from 0 to 1 might<br />

be preferred because at least the scale enables the probability to be<br />

envisaged. Other people prefer to give their assessments in terms of<br />

odds which can then be easily converted to probabilities, as we showed

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