:evil: Finally, from the author
There are methods to increase the probability of guessing, and they are hidden in understanding how repetitions occur, in an expanded understanding of the "Two Thirds" pattern. And I'm talking about increasing the probability of guessing the "number", but guessing with the help of understanding how repetitions occur. To do this, you need to understand that repetitions are not tied to numbers, each new spin the candidates (numbers) change, and the numbers on which the bet is made may not have been repeated before, but a characteristic repetition has already occurred and is stably occurring. And I predict a repetition, and what this number will be, this is how the repetition will fall on it (This is a simplification, but in essence close to the original.) The rest - the algorithm for how to do this, I will not disclose, otherwise even a schoolchild can rig the program that I made, and I have no need for this "Paradox" - finds stable orders in random roulette sequences and tracks them, selects positive orders from them and shows them. The program has a complex and not "random", not "cold", not "hot", but adaptive algorithm that calculates these orders at relatively short distances. Adaptive means: each spin adapts to the developing situation. To see the result, just load the statistics file of any sufficiently long game into the program and do a full recalculation. :evil: <The guy really thinks that the numbers 1000 spins ago affect the current dropouts :S Yes, he will find the "golden formula" retroactively, but it will not work in the future. More precisely, AS LUCK. And even more precisely, HOW THE PLAYER HIMSELF CHOOSE FROM 1000 ALGORITHMS :sick: > Graphs of the best. "Order", in the context of this program, is a stable and long-term formation, a predictable structure formed in a sequence of spins. Waiting for its continuation, the algorithm repeats the numbers that can fall out according to this structure. We get a completely predictable phenomenon, a trend - movement. And we look at it, whether the structure is guessed or not. Since many of these algorithms (dynamic structures) are tracked at once, we identify the most predictable structures (orders). If we can predict, then we can use. Now about the result and, therefore, about the method: As the program was created, we had to develop a certain terminology and come up with new values. For example, the main value in the program is "Mass", which roulettes productivity (another obscure word) - it means how productively this algorithm guesses numbers. If the "Mass" is positive, then this algorithm wins more than it loses. Here is a graph of one of the many successful algorithms, a game lasting 480 spins:
If the green curve showing productivity, all the time passes above the white dotted line in the graph (constantly keeps the "mass" of the won, more than the lost), the more stable the game according to this algorithm. Of course, the higher it is, the higher the "Mass" of the won. The game is played flat (with a flat bet, without increasing in progression).
We swing, sometimes in plus, sometimes in minus, but according to this graph we periodically go into plus. The blue curve shows these cycles,
if you take them into account and stop when there is a decline, and resume betting at the moment of rise,
you will gain that very long-awaited positive "Mass". The graph shows that if we had joined this algorithm on spin 250, we would have already been in the black. Here lies the answer to the question - what are the chances that the algorithm will not collapse immediately after we join it? The answer is exactly the same as if we had joined it earlier, on that very spin 250. While it is stable, use it. If it stops being stable, the program will find another one in its place. Below is an even more successful layout, the green line has a stable upward trend and, therefore, is just about to turn into something like the upper graph.
Once I was asked a question - if the whole game according to these graphs is a swing, sometimes plus, sometimes minus, then how is it different from other systems, because in any there are swings? Below, a clear example is demonstrated - how! The program always has positive and stable swings, as in the examples above, and there are some like the example below, which the program finds and lowers in the rating, removing them from your sight. Moreover, one swing can be positive today, negative the next day, and the program always knows which swings are swinging in the current game:
If you want to win, learn to read the charts that the program builds
and if you are a balanced person, then you will succeed. Playing on these charts
is similar to stock exchange trading. But, everything is like with the stock exchange -
there are people who are not born to be traders, but there are natural-born players. Well, and finally, the main advantage over the stock exchange, especially over the currency exchange. In this method of "trading", there are no wild market fluctuations.
Everything is "completely random", but with fluctuations within predictable limits. Sincerely, Vitaly Kvinstar