Publication

This paper uses regression techniques to take a second look at a classic risk-perception data set originally collected by Paul Slovic, Sarah Lichtenstein, and Baruch Fischhoff. As discussed in earlier studies, the attributes expected mortality, effects on future generations, immediacy, and catastrophic potential all significantly affect risk ratings. However, we find that perceived risk and dread show different regression patterns; most importantly, only perceived risk ratings correlate with expected mortality. In addition, average risk ratings are found to be significantly affected by perceived individual benefits, which suggests that perceptions of risk are net rather than gross indicators of harm.