 The formalism of the models is much the same, whether we are representing token influence or type influence. But when it comes to explaining what it takes for these models to be accurate, it will matter whether we are talking about token influence or type influence. In the case of token influence, Hitchcock (2001a: 283–284) suggests that what it takes for a causal model to be correct is for a certain family of counterfactuals to be true: