5?
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If you like, I could go back to having each person shuffle an exponential amount of decks every second... |
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This site disagrees
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He expects a "perfect riffle shuffle", though. |
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Okay, I hear what people are saying. You want more shuffles getting done, okay. Let’s look at that.
I’m going by HLJ’s calculation (I’m too lazy to do it myself) that in 9.e+33 permutations you would have a 50% chance of repeating the same shuffle. I’m using the entire population of planet Earth (6,648,429,413), and I’ll have them shuffle one deck of cards per second, year-round. It would take 42,925,646,062,489,266.972805985537223 years to get through 9.e+33 permutations. How long is that? Well, the Earth is estimated to be 4.54 billion years old. It’s 9,454,988.1194910279675784109112819 times longer than that. So, if every living person on the Earth shuffled one deck of cards per second, for 9 million times longer than the Earth has existed, there would be a 50% chance of the same shuffle coming up. THE SAME EXACT SHUFFLE HAS NEVER HAPPENED, AND NEVER WILL HAPPEN. EVER. |
unless it does...
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It totally happened to me the other day. Take my word for it.
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Would you settle for 1% chance?
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Flint, are you OCD?
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I would love to know that. |
I'd better present my logic to see if anyone disagrees.
(n*(n-1))/(2*52!) = P; solve for P, where P = probability of 2 or more matching shuffled decks in n shuffles. (n-1)^2 < n*(n-1) < n^2, so (n-1)^2/(2*52!) < n*(n-1)/(2*52!) < n^2/(2*52!), so the first equation can be simplified (for large values of n) as n^2 ~= P*2*52! n = square_root(P*2*52!) If P = 0.5 (50%), n = 8.98e33 If P = 0.1 (10%), n = 4.0e33 If P = 0.01 (1%), n = 1.27e33 I just noticed a flaw in this logic. Can you see it? |
lol - I can't even follow that!
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pull my finger!
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