which victim impact statements are given), forecasts are more likely to be influenced by the error of immune neglect (See Immune neglect) Immune neglect is likely to lead to underestimation of future emotional harm, and therefore results in inadequate sentencing. As with tort damages, jury education is a proposed method for alleviating the negative effects of forecasting error. Sexual harassment In cases involving sexual harassment, judgements are more likely to blame the victim for their failure to react in a timely fashion or their failure to make use of services that were available to them in the event of sexual harassment. This is because prior to the actual experience of harassment, people tend to overestimate their affective reactions as well as their proactive reactions in response to sexual harassment. This exemplifies the focalism error (See Focalism) in which forecasters ignore alternative factors that may influence one's reaction, or failure to react. For example, in their study, Woodzicka and LaFrance studied women's predictions of how they would react to sexual harassment during an interview. Forecasters overestimated their affective reactions of anger, while underestimating the level of fear they would experience. They also overestimated their proactive reactions. In Study 1, participants reported that they would refuse to answer questions of a sexual nature and, or, report the question to the interviewer's supervisor. However, in Study 2, of those who had actually experienced sexual harassment during an interview, none of them displayed either proactive reaction. If juries are able to recognize such errors in forecasting, they may be able to adjust such errors. Additionally, if juries are educated on other factors that may influence the reactions of those who are victims of sexual harassment, such as intimidation, they are more likely to make more accurate forecasts, and less likely to blame victims for their own victimization. In health Affective forecasting has implications in health decision making and medical ethics and policy. Research in health-related affective forecasting suggests that nonpatients consistently underestimate the quality of life associated with chronic health conditions and disability. The so-called "disability paradox" states the discrepancy between self-reported levels of happiness amongst chronically ill people versus the predictions of their happiness levels by healthy people. The implications of this forecasting error in medical decision making can be severe, because judgments about future quality of life often inform health decisions. Inaccurate forecasts can lead patients, or more commonly their health care