The ball might be wet or just how the ball might interact with some player's jersey. Who knows what actually might result in the score being one point this way or seven points this way or seven points that way. And so for situations like that, it makes more sense to think more in terms of experimental probability. And experimental probability, we're really just trying to get an estimate of something happening based on data and experience that we've had in the past. So for example, let's say that you had, this is data from your football team and it's a couple of games or many games into the season, and you've been tabulating the number of points. You have a histogram of the number of games that scored between zero and nine points. You had two games that scored between zero and nine points, four games that scored between 10 and 19 points, or from 10 to 19 points.