In this article I offer an approach to counterfactuals based on a notion of objective probability. It is in the spirit of, though it does not fall squarely under, the metalinguistic model. Thus, it is not developed in terms of possible worlds, or notions parasitic on them (e.g., similarity). Its dominant features are rooted in objective probability and causal relevance (analyzed probabilistically), and thus it is not close in spirit to a maximal similarity or a minimal change approach.

Hong Oak Yun is a person who is over three inches tall. And now you know who Hong Oak Yun is. For if someone were to ask you ‘Who is Hong Oak Yun?’, you could answer that Hong Oak Yun is a person who is over three inches tall, and you would know what you were saying. So you know an answer to the question ‘Who is Hong Oak Yun?’, and that is sufficient for knowing who Hong Oak Yun is. (...) Getting to know who a person is may be easier than you think. (shrink)

In this paper I explore the ambiguity that arises between two readings of the counterfactual construction, then–d and thel–p, analyzed in my bookA Theory of Counterfactuals. I then extend the analysis I offered there to counterfactuals with true antecedents, and offer a more precise formulation of the conception of temporal divergence points used in thel–p interpretation. Finally, I discuss some ramifications of these issues for counterfactual analyses of knowledge.