And once again, that's another way to avoid bias. So now that we've kind of figured out, we have a control group, we have a treatment group, we're using A1c as our response variable. So we would want to measure folks A1c levels, their hemoglobin A1c levels before they get either the placebo or the medicine. And then maybe after three months, we would measure their A1c after. But the next question is, how do you divvy these 100 people up into these two groups? And you might say, well, I would want to do it randomly. And you would be right, because if you didn't do it randomly, if you put all the men here and all the women here, well, that might, first of all, sex might explain it, or the behavior of men versus women might explain the differences or the non-differences you see in A1c level if you get a lot of people of one age or one part of the country or one type of dietary habits.