Imaginary worlds may satisfy our need to explore, but it's an open question what we are searching for. Research on imagination suggests that if we are searching for something extraordinary – something that violates our intuitions about real-world causality – then we seek it in small doses and in contexts that ultimately confirm our intuitions. Imaginary worlds allow for true novelty, but we may actually prefer ideas that are novel on their surface but familiar at their core.

We propose that human social learning is subject to a trade-off between the cost of performing a computation and the flexibility of its outputs. Viewing social learning through this lens sheds light on cases that seem to violate bifocal stance theory (BST) – such as high-fidelity imitation in instrumental action – and provides a mechanism by which causal insight can be bootstrapped from imitation of cultural practices.