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. And to avoid that, you could do, really, a version of stratified sampling that we've talked about in other videos, which is you could do what's called a block design for your random assignment, where you actually split everyone into men and women. And it might be 50-50, or it might even be, you know, just randomly here. You got, you know, 60 women, 60 women and 40 men. And what you do here is you say, okay, let's randomly take 30 of these women and put them in the control group and 30 of the women and put them in the treatment group. And let's put, randomly, 20 of the men in the control group and 20 of the men in the treatment group. And that way, someone's sex is less likely to introduce bias into what actually happens here.