The Impact Bias in Affective Forecasting Refers to the Phenomenon

The impact bias in affective forecasting refers to the phenomenon in which

A) voters predicted that they would be much happier one month after an election if the candidate for whom they voted won as opposed to lost.
B) people tend to overestimate the strength and duration of their emotional reactions to events.
C) people are generally accurate predictors of how they will feel about future events.
D) people tend to underestimate how happy they will be several months after winning the lottery.