And that way, someone's sex is less likely to introduce bias into what actually happens here. So once again, doing this is called a block design, really a version of stratified sampling, block design. And there might be other lurking variables that you want to make sure it doesn't just show up here randomly. And so you might want to, there's other ways of randomly assigning. Now, once you do this, you see what was the change in A1c. If you see that, hey, you know, the change in A1c, well, one, if you see there's no difference in A1c levels between these two groups, and you're like, hey, there's a good probability that my pill does nothing, even, and once again, it's all about probabilities. There's some chance that you were just unlucky and it might be a very small chance and that's why you want to do this with a good number of people.