Empirical equivalence refers to the situation where two or more competing theories or models make identical predictions for all possible observations, making them indistinguishable based on empirical data alone. This challenges the notion of theory choice in science, as empirical data cannot be used to favor one theory over another, prompting reliance on other criteria like simplicity or coherence with existing knowledge.