It is simply what it is. Explanation that that is how probability works. A small sample size is not a reflection of anything meaningful a coin can be flipped 10 times in a row and get heads that is a probability but the likely result would be 50% of each heads or tails. Only when something is repeated enough times to get a large sample size does that indicate anything and then you should see things fall within the standard deviation of the probability. If the coin is flipped 1000 times then it should reflect the 50% chance much more reliably because for every 10 flips where it is heads in a row you are equally likely to get tails 10 times in a row. One players drops don’t mean anything on their own but when you take into account many players and their results then you have something to base it off of. I didn’t create statistical probability but I did study it and was making a simple example of it.
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