So, and it's very useful because, for example, if these are equally likely outcomes, and you say, well what's the probability of the event of a heads? You say, okay, that's one out of the two equally likely outcomes. Or you can even construct, once you know all the possible outcomes, even if they aren't equally likely, you could say, well let's create a probability distribution. We at least know what the sample space is. We know what the possible outcomes are, now let's think about the probability of each of those outcomes. But a lot of times when people talk about sample spaces, they're often, they tend to be most useful, I would say, when you have equally likely outcomes, like in the case of a fair coin flip. Because then from the sample space, it's fairly straightforward to think about the probability of various events.