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impact bias
The impact bias, a form of which is the durability bias, in affective forecasting, is the tendency for people to overestimate the length or the intensity of future feeling states.
== Example ==
In Gilbert et al., 1998, there was a conducted study on individuals participating in a job interview. The participants were separated into two groups; the ''unfair decision condition'' (where the decision of being hired was left up to a single MBA student with sole authority listening to the interview) and the ''fair decision condition'' (where the decision was made by a team of MBA students who has to independently and unanimously decide the fate of the interviewee). Then, certain participants were chosen to forecast how they would feel if they were chosen or not chosen for the job immediately after learning if they had been hired or fired and then they had to predict how they would feel ten minutes after hearing the news. Then following the interview, all participants were given letters notifying them they had not been selected for the job. All participants were then required to fill out a questionnaire that reported their current happiness. Then after waiting ten minutes, the experimenter presented all the participants with another questionnaire that once again asked them to report their current level of happiness.
The predictions made by the participants in both the unfair and fair groups were about the same regarding how they would feel immediately after hearing the news as well as ten minutes later. Both groups accurately predicted how they would feel immediately after hearing the news but the study showed that both groups actually felt much better in the ratings on current happiness taken ten minutes later than they had originally predicted, demonstrating the impact bias.〔•
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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