how to win money at the Roulette game

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 How to win at the Roulette

Hello dear Investors and dear Visitors.

Its all about DATA PROCESSING ! Here is what was my best performance at the Roulette game thanks to my algorithmic method. In forty-five minutes, I had multiplied the starting capital of 5,000 euros by factor 7.5 up to 36,400 euros. Winning +31,600 euros in 45 minutes in 14 victories in a row out of a serie of 20. I did not win in one shot, but on a series of twenty consecutive shots, more than a dozen were winners. The capital was of virtual money 5,000 euro initially. I grew it up to 36,400 euros in just 45 minutes. Actually more ! More as the last shot grew the capital up to 50,300 euros. That is to say multiplied the intial capital by more than 10. I made screenshots of this series of 20 shots, and an analytical chart. This shows that one can earn money on Roulette, and above all how to do it.

But at Christmas 2019 I did improve my own performance buy winning of factor 12,6 transforming in 55 minutes, 5, 000 euros into the sum of 63,150 euros. I display this in the private members area for researchers and investors. I explain what strategies I combined to win in my essay entitled "The Predictable Chance Theory C - P = P C . How to Dominate Chance at the Game of Roulette." Philippe Chout

 Make money and beat the odds at the Roulete Casino


The great physicist Albert Einstein thought roulette was unbeatable. He was wrong.

The great mathematician Claude Shannon thought that roulette was unbeatable. He was wrong as well.
This book about Quantum heuristics of Stochastic algorithms was written with reference to its famous aphorisms:

"No one can win the roulette game unless he steals the money from the table when the dealer does not look."

Likewise, the famous mathematicians Claude Shannon (the father of the Theory of Information) and Edward Thorp (the genius of Finance) have not managed to beat the roulette, by a fair and mathematical method. In a comical episode of their lives, these two brilliant mathematics teachers at MIT, tried fraudulently and unsuccessfully to beat Roulette. They had developed a concealed system of measuring the rotational speed of the wheel by stroboscopy after the launch, and deducing the final trajectory, the result of which, transmitted to what is described as the first laptop, the size of a pack of cigarettes hidden in the sock! To die of laughter ...

But why did not these geniuses try to beat Roulette by a fair and mathematical method? Or, if they did, where are their notebooks on this exciting topic? But why the brilliant Claude Shannon, the father of modern computing, based on him on bits (0.1), he has not designed algorithms for research and decision support to play better to the game of Roulette ?

How the author is the first to have found a clear theory, logical and statistical, to dominate the game's randomness? Roulette? It demonstrates it in a Cartesian way with many examples and images! How is it that he has described a mode of algorithmic game, while it is not his specialty? We are not talking about a martingale, a term particularly insulting when we know the etymology. We are talking about a theory of randomness that precisely describes, figures in support, and deciphers the stereotyped, therefore predictable dance of chance.

 It's a Human being who has cracked the code of roulette, not a computer or software. This race for discovery was lost by Google and its DeepMind AI. They were advancing in a hurry against human intelligence, especially in the direction of military applications. They beat the best players in the game of chess. They beat the best players in the game of Go.

Their latest "feat" according to the singing praise journalists: Google AI's shined in 2019 against groups of human players in the game Quake III Arena, by invention of ultra effective game strategies, which crashed humans ... Super you beat a group of kids, those who will be infantry ... But it is a human brain without a computer crutch who discovered and describes the entirety of the Predictable Hazard Theory, which allows you to beat the so-called invincible Roulette, and thus cut the grass under Google's feet ! It's a human with very few means who discovered Super Convergence and Predictable Chance Theory which postulates that:

C- P = P C , for: Chance less Predictability = Predictable Chance.
The formula which summarizes the theory of the foreseeable Chance is as beautiful, as limpid and lapidary as those which made the glory of these illustrious scientists.

The equation of Dr Philippe Chout is part of the 18 equations that changed the world

Predictable Chance Theory : C(x) - P(x) = PC(x) ... Philippe Chout, 2019


The 200 pages Science-fiction novel : The Theory of Predictable Chance cost 250 USD

It is easy to read and enjoyable.

Summary of the Novel

    ... Paradoxically, the way to anticipate random phenomena has occurred, and reads, with little knowledge in mathematics, physics, computer science and algorithmics. This discovery was made by chance and with few means!. You will discover why the famous aphorism of physicist Albert Einstein is now wrong: "Nobody can win the game of roulette, unless he steals the money on the table when the dealer does not look." You will discover the incredible misadventures of Claude Shannon and Edward Thorp at roulette.

My essay deals with heuristics, which means "the art of inventing, making discoveries". Heuristics is an art, so the author is an artist who unveils his research notebooks, his drawings, his drawings. They are original works of art ...

This book is the story of how, for the first time, the scientific Theory of Predictable Chance and Super-Convergence method have been discovered. It was then I defined variables and parameters for statistical studies of the algorithmic game, and even before introducing them into a computer, that I found the particular properties of the dozens, I developed a way of play algorithmic, and I have tested it several times. I realized that it actually worked very well, including in a real casino ...

Resist a black series, find the missing dozens and take advantage of it, anticipate the rehearsals, predict the next numbers, reduce losses, which seemed an impossible challenge became possible. The book is not directly for sale. It is given with either a membership suscription of four months or an application as private investor. Mister Philippe Chout, AI researcher.

Be smart ! Become an investor. Buy shares of the Private company that owns the intellectual property rights and the royalties...


Either the 300 pages Essay : The Predictable Chance Theory. Quantum Heuristic of Stochastic Algorithms, cost 500 USD

It is captivating but requires a high level of academic knowledge and intellectual capabililties. Only for members.

 The Theory of predictable Chance book by Dr Philippe Chout

Or the 120 pages Method : Beat Roulette with Super-convergence in 12 lessons, Ebook cost 250 USD

For players with average intellectual capabilities, and limited academic knowledge who would like to get initiated to the basics without reading the science.
 Beat Roulette with Super-convergence Method by Philippe Chout, artificial intelligence Researcher

Please contact us beforehand in order to get the information brochure. Alternateatively you can become a member and get the Essay for free. Membership is for at least 4 months, cost 105 USD x 4 months = 500 USD not refundable .You get to five exclusive new pages monthly.

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Strategies based on /or supplementing Super Convergence
How to dominate chance in the game of Roulette

Figure 1 : Representation of a Super-covergence earning 9,000 euros on the number 15 at the seventh spin of a series. Despite it is the fourth earned strike, ou tof six spin you can observe that the capital has already increased from 5,000 euros to 27,030 euros (capital of fictitious money given by the free roulette). So 5.2 times in about half-an hour. The performances and the theory are explained in the book and in the private part of the site.
We see a D2Mq3-L1Mq4 S7, which converges in 15, and wins 9,000 euros with 5,000 euros of stake, thus net profit is 4000 euros. An atypical strategy of extended protection had been put in place. The peripheral aiming on lines and dozens does not correspond to a normal super-convergence. It is essential to combine the strategies between them and to calculate the gains with our algorithms ...

Visual Super-Convergence is a deployment strategy based on the visual convergence property. Beware of homonymy ! This is not the superconvergence used in artificial intelligence for rapid learning in "deep learning". Neither of the convergence in probability of a random variable. Neither in mathematics or convergence is a fundamental property of sequences in topological spaces, and numerical series. Nor is it the partial integer Poisson equation in a Laplace operator...

End of short part of the novel....

Please check out this amazing winner's story !

A mysterious tourist won more than One million euro at the French Roulette, in May 2019 at Deauville Casino in Normandy, France.

...Next short part of the Essay...

But what is heuristics?

Name or adjective

Heuristic (from the ancient Greek εὑρίσκω, eurisko, I find, sometimes spelled Euristic, it is a didactic term which means "the art of inventing, making discoveries".
  Adjective : this refers to the science of knowledge, the philosophy of knowledge, epistemology or the methodology of discovery.

In Mathematics
Which proceeds by successive approaches by progressively eliminating the alternatives and keeping only a limited range of solutions tending towards the one that is optimal. Heuristic method as opposed to algorithmic method. By inserting into the program of a machine a large number of heuristic rules (...) one can escape the problem of the exponential increase.

In the theory of algorithmic complexity, in combinatorial optimization and in the theory of algorithmic complexity as well as in artificial intelligence, a heuristic is a method resolution that provides a plausible solution, not necessarily the best for a particularly difficult problem.

In Philosophy
Discipline that studies research processes to formulate the rules, and makes a methodological reflection on this activity. Heuristics differs from the methodology in that it is more a reflection on the intellectual activity of the researcher than on the objective pathways of solution.

Algorithmics is the study and production of rules and techniques that are involved in the definition and design of algorithms, that is, systematic problem-solving processes that accurately describe steps to solve a problem. an algorithmic problem. At the beginning of any algorithm there are variables, which can be numeric, or alphanumeric like ours, or others. My goal is to develop an algorithmic game, hence the title of the book. My research has shown that statistics and simulations must be very numerous. Whenever I ask a question the answer involves ten new searches of tables, comparisons. The complexity is growing almost exponentially or the search algorithm, Fourier transform, Grover quantum algorithm etc. simplifies the complexity. We can clearly see the link here between truncated geometric law and simulation algorithm.

Quantum computing
While a typical computer manipulates information bits, which are either 0s or 1s, a quantum computer uses qubits. It does not encode in 0 or in 1 but in qubit which is 0 and 1 at a time. These are generalizations of the classical bits, which are in a way a simultaneous superposition of these two states, the quantum laws related to the quantum states-related quantum state superposition property for a photon. This results in a computing capacity and a speed of tens of thousands of times higher...

The quantum term is justified in the title because from an algorithmic point of view quantum computation would indicate how to replace the Boolean algebra of non-quantum computers. Quantum calculators require different calculation techniques from programming, but use a lot of classical linear algebra to condition and process sets of linked variables simultaneously. Which is exactly the case for the analysis of dozens and missing lines. Variables so closely related that we could say that they are entangled and superimposed, which brings us directly into the quantum properties of entanglement and superimposition.

Quantum computing requires that there are few input variables and few outputs in the algorithms to be processed. Which is the case in our study of the missing dozens. It therefore only lends itself to calculations whose complexity lies in combinatorics. These problems are found in scheduling. Be aware that complexity is aptly named ! To convince yourself, read the page dedicated to this discipline in linear algebra!

Super-convergence in Artificial intelligence

The phenomenon called “Super Convergence” in artificial intelligence research allow one to train a deep neural network in order to get magnitude faster compared to conventional training methods.

End of te Free samples of the book.


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