Where do hypotheses come from?

•Humans inferences are close to the Bayesian ideal when the inference is over a small set of given possibilities.•When the number of possibilities is large, humans display consistent biases that depend on the framing of the question.•We show that these biases can be explained by a stochastic hypothesis sampling model.•We confirm the predictions of this model in 4 experiments.