Indiana Pacers Pascal Siakam Cameroonian professional basketball player T-Shirt

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I mean if they stand still under clear lights then yes. Probably not if they are moving around and whipping their hair back and forth but this is now kind of funny I will just leave it here lol When a queen doesn’t 100% know the Indiana Pacers Pascal Siakam Cameroonian professional basketball player T-Shirt Furthermore, I will do this words to a part, they turn away from the judges and face the other queens. So I imagine the other queens get the worst version of the sync in some cases…made worse when they REALLY don’t know them.Sometimes you have a 1/100 chance of something happening, like winning the lottery. I’ve heard people say that “on average, you’d need to enter 100 times to win at least once.” Logically that makes sense to me, but I wanted to know more. I determined that the probability of winning a 1/X chance at least once by entering X times is 1-(1-1/X)X. I put that in a spreadsheet for X=1:50 and noticed it trended asymptotically towards ~63.21%. I thought that number looked oddly familiar and realized it’s roughly equal to 1-1/e.

Indiana Pacers Pascal Siakam Cameroonian professional basketball player T-Shirt, hoodie, tank top, sweater and long sleeve t-shirt

I looked up the Indiana Pacers Pascal Siakam Cameroonian professional basketball player T-Shirt Furthermore, I will do this definition of e and it’s equal to the limit of (1+1/n)n as n->inf which looks very similar to the probability formula I came up with. Now my question: why did I seemingly discover e during a probability exercise? I thought that e was in the realm of growth, not probability. Can anyone explain what it’s doing here and how it logically makes sense?I’m not sure exactly what you are looking for, but e is in the realm of probability, in exactly the way you just found. Numbers do not have to limit themselves, saying e belongs in exponential growth only would be like saying 2 belongs only in basic addition and cannot show up in other contexts. Also, as I said in another comment, this is the realm of exponential growth (specifically exponential decay – negative growth). The chance of the event occurring in any given “moment” is a constant, and so the chance of survival is decreasing proportional to its own size (because the chance of survival to a point is independent of the event occurring at that point). Since the probability changes at a rate proportional to its own size, you get an exponential function. If you have a random even that can occur at any moment with an average rate of once per time length tau, than the chance it hasn’t happened after t time is e-t/tau.