est explanation now the problem there is how do we select those theories if they all logically equally explain the data well what generally goes in there are judgments of plausibility now let's be clear about what we mean by plausibility there's two meanings of plausibility and we can confuse them and then that will cause equivocation one meaning which i think people sort of think although like i said they're often confused about these one meaning is plausible is just a synonym for highly probable and probability is something that you establish right you establish it either prior in mathematics or you exp you establish it uh empirically that's not the meaning i make here because that would require us already uh finding out the probability of our claims and that's what we do with science with scientific experimentation so that's not the meaning of plausibility i mean the other meaning which by the way has a long-standing traditions been studied by people going back to russia wrestler and things like that is where plausibility is a synonym for these things it's reasonable it makes good sense it should be taken seriously it's worthy of our attention right and so notice that that's exactly those are exactly the questions facing the person who wants to decide which theories they're going to put into competition when they go into their experiment and so what they what they have to do is they have to make plausibility judgments what are the reasons the most reasonable theories what are the ones i should take seriously uh what are the ones right that make good sense uh etc so you have to make a plausibility judgment when when you select what are the theories that you're going to put into your inference to the best explanation now you're running your experiment okay so now you're going to run your experiment what's the problem with running the experiment well it's kind of a species of something we i've already said but it repeats itself right so when i'm running an experiment the problem i'm trying to determine if there's