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. 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.