In a recent article Ian Hacking argues that there can be cases where no probabilities may correctly be ascribed to individual members of a population, while probabilities are correctly ascribable to the population as a whole. In this paper a simple artificial coin-flipping model for such probabilities, not 'grounded from below' is constructed. The inferences licensed by this model and a consequence of the model for the theory of statistical tests is explored.