In fact, it's a situation where we're saying, how many trials do we need to get, do we need to have until we get success? Maybe that's a general way of framing this type of random variable. How many trials until success, while the binomial random variable was, how many trials, or how many successes, I should say, how many successes in finite number of trials? So if you see this general form and it meets these conditions, you can feel good it's a binomial random variable, but if you're meeting this condition, clear success or failure outcome, independent trials, constant probability, but we're not talking about the successes in a finite number of trials, we're talking about how many trials until success, then this type of random variable is called a geometric, geometric random variable. And we will see why in future videos it is called geometric because the math that involves the probabilities of various outcomes looks a lot like geometric growth or geometric sequences and series that we look at in other types of mathematics. And in case I forgot to mention, the reason why we call binomial random variables is because when you think about the probabilities of different outcomes, you have these things called binomial coefficients based on combinatorics, and those come out of things like Pascal's triangle and when you take a binomial to ever-increasing powers. So that's where those words come from.