In a survey of university hospital employees, when the insurance causes are broken down to individual cases, people tend to overestimate the probability of each case happening. This is an example of
A) the effect of isolating vivid causes
B) status quo bias
C) the mean-preserving spread proposition

Question

Quizplus · Accepted Answer

This is the effect of isolating vivid causes, where people tend to give more weight to vivid and memorable experiences when evaluating probabilities, even if they are not representative of the larger population. In this case, individual cases of insurance causes may be more memorable or salient to respondents, causing them to overestimate their likelihood.

In a Survey of University Hospital Employees, When the Insurance