We consider a myopic decision maker facing a recurrent decision problem. We study selfconfirming strategies. We show that a long run bias emerges that favors tested actions, that is, actions on which information has been collected over time. In so doing we provide, inter alia, a learning foundation for the selfconfirming equilibrium with model uncertainty of Battigalli et al. (2011).