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I do this only with those loss numbers that I offer to the adaptive and when you start collecting them, it "searches" for "other" loss numbers in the game statistics and finds them, then you activate on what the adaptive "found" and offer "your" loss numbers again, re-verifying their reputation. In... |
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I need to refresh the concept of "distance distribution" in order to discuss
which I will do with pleasure
Distribution of distances is a mathematical phenomenon, and statistically confirmed a thousand times. Unlike the so-called adaptive, which no one has ever seen. And even the most amiable Mr. Shpilevoy himself will hardly be able to say from specific statistics whether there is an adaptive or not.
klick wrote: I have a few questions for alt2005.
1) How do you understand the Monty Hall paradox?
Don't you think that in a similar situation there will be a roulette player who continues to stand on his option when other numbers fall? It will be correct to change his initial choice and this is the same paradox, and it is possible to mathematically prove that dynamic bets are much better than static ones?
2) How to correctly calculate the continuous probability of the event that the casino will roll out the player's bets on roulette?
An example for simplicity.
The player bets 5 certain numbers each spin.
For a single spin:
Probability W 5/37 = 0.135. Accordingly, the probability of the casino to throw past the bets L 32/37 or 1-0.135 = 0.865
History of the game.
1 spin: loss. L = 0.865
2 spins: loss. L = 0.865 * 0.865 = 0.748225 probability that the casino will throw past the bets 2 spins in a row
3 spins: loss L = 0.865*0.865*0.865 = 0.647 that 3 spins in a row will throw past
Up to this point, everything is clear.
4 spins: win.
I can't understand how to apply W in order to continue calculating the probability of L.
5 spins: another win.
I'm completely confused about what to add or divide with what so that L is correctly calculated for this situation in the game.
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