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“The main idea behind affective forecasting is that we have a bias when we predict future mood (affective) states in relation to positive or negative events. For example, a couple of years after winning a lottery, the winners were about as happy as they were before their win, despite the general affective forecast that they would be much happier if only they could win the lottery. This is also true of people who have suffered debilitating accidents. A few years after the accident, despite long-term effects such as paralysis, accident victims were about as happy as they were before this life-changing event—again, despite the general affective forecast that they would be much unhappier.”