Any probabilistic rule encoding 'explanatory virtue' as a likelihood boost must assign higher posteriors to hypotheses independent of their prior probability mass, violating the probability calculus.

?Rate how convincing each reason is below to see the overall strength.

No one has weighed in yet. Be the first to share reasons for or against this statement.

Explanatory virtue(as used in philosophy of science): A desirable quality that makes a scientific explanation good—like simplicity, consistency with evidence, or making accurate predictions.
Likelihood boost(as used in Bayesian reasoning): An increase in how probable or likely something is considered to be based on new information or reasoning.
Posterior: # Posterior In statistics and probability, "posterior" refers to what we believe or know about something *after* we've observed new evidence or data. It's the updated conclusion you reach by combining what you believed before (called the "prior") with new information you've learned. For example, if you initially thought it might rain today based on the season, your posterior belief would be your updated expectation after checking the weather forecast.
Prior probability(Used to argue that theism's low prior probability is not overcome by ambiguous or absent evidence): The intrinsic probability of a hypothesis before taking any evidence into account

Based on where you are in your exploration