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Question About Maximum Experience

Bittty - That simplifies matters greatly.

Placio - The reason I say large sample sizes are better is because we don't know the actual numbers behind the curtain. In the event of a roulette wheel or coin toss, we could get away with a smaller sample size simply because we already know the mechanics; they are 1d38 and 1d2.
When you don't know how the numbers are generated though, it takes a bit more data to figure out. If I rolled 2d10 about thirty times, it's entirely possible that I could roll mostly 7s and not have a single result above 12 and thus mistakenly assume that I'm rolling 2d6, but the more I roll, the more likely is is that I'll get a distribution curve that matches what 2d10 would put out.
You are correct that prior results have no impact on future results, but no matter how many times I flip a coin, I can predict with a high degree of certainty that my next toss will be either Heads or Tails with a 50% chance of either... assuming a perfect coin.

Mjollren - You mean like coin tosses generally being 51/49 affairs due to the fact that coins are not perfectly balanced?

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