“…Predicting the "typical" path (e.g., the most likely point of landfall in a hurricane), and predicting the uncertainty itself (e.g., the growth of the "cone of uncertainty"). This distinction between the two elements of prediction is quite analogous to the distinction or understanding of the mean, based on several samples, a task at which people are quite good (Peterson & Beach, 1967) versus assessing the variance of those samples, a task at which people are not so proficient, and at which we exhibit systematic biases (Mannes & Moore, 2013). In particular, in other contexts it has been observed that people tend to underestimate the variance of multiple samples, as if consistently underestimating the contribution of random factors to variables in the world (Kahneman, 2011;Henrion & Fischhoff, 2003;Tversky & Kahneman, 1971).…”