  The third view, "likelihoodism," is popular among non-Bayesian statisticians.  Its proponents deny evidence proportionism.  They maintain that a person's subjective probability for a hypothesis merely reflects her degree of uncertainty about its truth; it need not be tied in any way to the amount of evidence she has in its  favor.[15]  It is likelihood ratios, not subjective probabilities, which capture the "scientifically meaningful" evidential relations.  Here are two classic statements of the position.