Research suggests that the accuracy of affective forecasting for positive and negative emotions is based on the distance in time of the forecast. Finkenauer, Gallucci, van Dijk, and Pollman discovered that people show greater forecasting accuracy for positive than negative affect when the event or trigger being forecast is more distant in time. Contrarily, people exhibit greater affective forecasting accuracy for negative affect when the event/trigger is closer in time. The accuracy of an affective forecast is also related to how well a person predicts the intensity of his or her emotions. In regard to forecasting about both positive and negative emotions, Levine, Kaplan, Lench, and Safer have recently shown that people can in fact predict the intensity of their feelings about events with a high degree of accuracy. This finding is contrary to much of the affective forecasting literature currently published, which the authors suggest is due to a procedural artifact in how these studies were conducted.