Learning goal: Squared error targets a mean, absolute error a median, and asymmetric absolute error a quantile. An optimal point prediction need not be a likely observation.

Compare repeated heavy-tailed samples: means can fluctuate more than medians. Asymmetric penalties shift the optimum toward the corresponding quantile.