 Classical studies of decision-making present choice problems to subjects where probabilities are described. For example, you might be asked to choose the prospect of winning €300 with probability 0.25 or the prospect of winning €400 with probability 0.2. Here, subjects are given a numerical description of probabilities, are typically asked to make one-shot decisions without feedback, and their responses are found to deviate from the expected utility hypothesis. However, in motor control tasks, subjects have to use internal, implicit estimates of probabilities, often learned with feedback, and these internal estimates are near optimal. Are perceptual-motor control decisions better because they provide feedback whereas classical decision tasks do not, or are perceptual-motor control decisions better because they are non-cognitive?