 Similarly, suppose we don’t and perhaps cannot know which constituent is in fact true. But suppose that we do have a good measure of distance between constituents (or the elements of some salient partition of the space) \(C_i\) and we have selected the right extension function. So we have a measure \(TL(A\mid C_i)\)of the truthlikeness of a proposition \(A\) given that constituent \(C_i\) is true. Provided we also have a measure of epistemic probability \(P\) (where \(P(C_i\mid e)\) is the degree of rational credence in \(C_i\) given evidence \(e)\) we also have a measure of the expected degree of truthlikeness of \(A\) on the evidence (call this \(\mathbf{E}TL(A\mid e))\) which we can identify with the best epistemic estimate of truthlikeness. (Niiniluoto, who first explored this concept in his 1977, calls the epistemic estimate of degree of truthlikeness on the evidence, or expected degree of truthlikeness, verisimilitude. Since verisimilitude is typically taken to be a synonym for truthlikeness, we will not follow him in this, and will stick instead with expected truthlikeness for the epistemic notion. See also Maher (1993).)