And notice these two numbers add up to 100% because everyone had to pick between these two options. Now, if I were to go and ask you to pick a random member of that population and say, what is the expected favorability rating of that member, what would it be? Or another way to think about it is, what is the mean of this distribution? And for a discrete distribution like this, your mean or your expected value is just going to be the probability-weighted sum of the different values that your distribution can take on. Now, the way I've written it right here, you can't take a probability-weighted sum of u and f. You can't say 40% times u plus 60% times f. You won't get any type of a number. So what we're going to do is define u and f to be some type of value. So let's say that u is 0 and f is 1.