So if it was just purely 50 CEOs of major companies, I would say it's probably close to a normal distribution. It's probably something like, well, you know, once again, there's going to be some level below which no CEO is willing to work for, although I've heard of some cases where they work for free, but they're really getting paid in other ways. If you include all of those things, there's probably some base salary that all CEOs make at least that much, and then it goes up to some value, you know, the highest probability value, and then it probably has a long tail to the right. And this is if there were no gender gap. So this would just be a purely right-skewed distribution, where you have a long tail to the right. Now if you assume that there's some gender gap, then you might have two humps here, which would be a bimodal distribution. So if you assume there's some gender gap, this is part c right here, then maybe there's one hump for women, and if you assume that women are less than men, then another hump for men, and there are 25 of each, so there wouldn't be necessarily more men than women, and then it would skew all the way off to the right.