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260 Biases in probability assessment<br />

back-up machine both fail today’ or ‘you get promoted and win the lottery<br />

and write a best selling novel all within the next 12 months’. Each of the<br />

individual events which might co-occur is called an elementary event<br />

(for example, ‘getting promoted’ is an elementary event). Research 10<br />

suggests that people tend to overestimate the probability of conjunctive<br />

events occurring because they anchor on the probability of one of the<br />

elementary events and make insufficient adjustment from this. Consider<br />

the following example.<br />

For a communication system to work, each of seven independent relay<br />

centers must be operational. Each center has a 0.9 probability of being<br />

operational at any given moment. You are about to send a message<br />

through the system. Estimate the probability that your message will<br />

reach its destination.<br />

It is likely that you will anchor on the 0.9 probability of one of<br />

the centers being operational. If this is the case, you will overestimate<br />

the true probability which (from the multiplication rule – see Chapter<br />

4) is:<br />

0.9 × 0.9 × 0.9 × 0.9 × 0.9 × 0.9 × 0.9 i.e. only 0.48.<br />

As Tversky and Kahneman point out, the estimation of conjunctive<br />

events is particularly important in planning. Projects such as the development<br />

of a new product or the completion of a construction project on<br />

time involve a series of elementary events, all of which must succeed<br />

for the undertaking as a whole to be successful. While the individual<br />

probability of each of the elementary events succeeding may be high,<br />

the overall probability of success may be low. The tendency of people to<br />

overestimate probabilities for conjunctive events may therefore lead to<br />

unjustified optimism that the project will succeed.<br />

Test your judgment: answer to question 12<br />

Q12. Did you anchor on the 99.5% probability? The correct answer is<br />

that the proposed safety system would only have a 47% probability<br />

of being operational on any given day.<br />

3. Underestimating probabilities for disjunctive events<br />

Disjunctive events can be expressed in the form ‘either X or Y occurs’.<br />

Examples would be ‘either the ignition system or the cooling system in

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