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. You don't want that. So in order to avoid having an imbalance of some of those lurking variables, you would want to randomly sample. And we've done multiple videos already on ways to randomly sample. So you're going to randomly sample and put people into either groups. You know, a very simple way of doing that, you could give everyone here a number from one to 100, use a random number generator to do that, and then, you know, if, well, or you could use a random number generator to pick 50 names to put in the control group or 50 names to put in the treatment group, and then everyone else gets put in the other group. Now, to avoid a situation, you know, just randomly, by doing a random sample, you might have a situation where there's some probability that you disproportionately have more men in one group or more women in another group.