 To see the point more vividly, imagine what a science would be like if scientists disagreed widely about the values of likelihoods. Each practitioner interprets a theory to say quite different things about how likely it is that various possible evidence statements will turn out to be true. Whereas scientist \(\alpha\) takes theory \(h_1\) to probabilistically imply that event \(e\) is highly likely, his colleague \(\beta\) understands the empirical import of \(h_1\) to say that \(e\) is very unlikely. And, conversely, \(\alpha\) takes competing theory \(h_2\) to probabilistically imply that \(e\) is very unlikely, whereas \(\beta\) reads \(h_2\) to say that \(e\) is extremely likely. So, for \(\alpha\) the evidential outcome \(e\) supplies strong support for \(h_1\) over \(h_2\), because 