Discrete Distributions (Alatissa expert in probability theory)

Question:
"What factor or factors influence the outcome of the iteration?"

Open AI's response:
"Answer: Factors that influence the outcome of an iteration include the type of iteration, the number of iterations, the iteration parameters, the iteration algorithm, and the data on which it is performed."

But even masterpieces aren't so simple. They'll retain their beauty for a while, but prolonged storage will begin to take its toll. The notes begin to fray, and the fragrance is no longer the same.
Mat Expectation begins its destructive action.

LUCKY-13 wrote: I'm also interested in your opinion regarding this statement for repeating a bet in a coner:

We also recommend that in the case of a Win center, DO NOT LEAVE the cone in its old position. Adaptive quick replay of WW is a casino provocation that is mathematically consistent only if the expectation of the first W was more than 50 spins.

Online generations are, of course, different from RNGs.
The random number generator has the maximum approximation to random variables, and that's beautiful.
Figuratively speaking, the generations of sl numbers smell like the masterpieces of brilliant perfumers.
And the online ones are crude counterfeits. And if they were counterfeits, some of them reek of high concentrations of indole.

I'm also interested in your opinion regarding this statement for repeating a bet in a casino:

We also recommend that in the case of a Win center, DO NOT LEAVE the cone in its old position. Adaptive quick replay of WW is a casino provocation that is mathematically consistent only if the expectation of the first W was more than 50 spins.

Alatissa, are we calculating the probability correctly?

* * *
Before you blame the casinos for cutting bets -
let's look at the CORE of the C4 strategy
100pravda.com/forum/roulette-game/904-ro...vogo?start=315#73276

Do you still remember our wonderful machine gun?
"FULL NUMBERS program - a full cycle of roulette numbers"
100pravda.com/roulet...program-full-numbers

This is a normal RNG generation, in which the last 4 numbers of the full cycle are closed after 80-90 spins.
You can rebuild a bunch of generations, the last four almost always close after the 80th spin.

Now let's count
- WHAT IS THE PROBABILITY that the 4 numbers (cone) chosen will be the last in line in the draw out of 37 numbers?

A set of 37 numbers has 34 positions for the guessed 4 numbers to appear (in any order, possibly with gaps) within the general order of appearance of all numbers.

P = 1/34 = 2.941%

Here is your answer.
You will successfully move the cone 33 times ON AVERAGE, but on the 34th move of the center, these numbers will end up at the end of the drop order.

"ON AVERAGE" is a tricky concept. You might catch the tail of the generation three times in 20 cone permutations, or you might successfully permutate 100-150 times.

If we return to online generations without images