So you say, hey, my hypothesis is that my new test is accurate 99, the probability of it being accurate is 99%. So then you go off and you apply it 100 times. So you apply your new test. You don't know the actual probability of it being accurate. You apply the test 100 times. And let's say out of those 100 times, you get that they are accurate, you get that it is accurate and you're able to use some other test that you know, some for sure test, some super accurate test to verify your own test results and you see that it is accurate 95 out of the 100 times. So the question you have is, well, does the hypothesis make sense to you?