Non entro nel merito perché ho pochissima esperienza on line e quasi nulla live, se escludo il periodo dei 18 anni e delle centinaia di partite giocate senza saper bene quel che facevo (diciamo che erano una scusa per far altro, la vera strategia la si applicava alla scala quaranta al bar
). E non dico niente anche perché non ho prove valide né pro né contro.
Volevo però incollare il testo dell'help betfair sulla generazione dei numeri, che in questo caso non è generata da software ma da hardware, non ha un "seme" e non ha un algoritmo che determina il seguito. Questo ovviamente, è quanto è scritto sul loro sito, lo inserisco per la cronaca.
Random Number Generator Guaranteeing random cards: The Betfair Poker Random Number Generator is a True Random Number Generator. It uses the hardware device J1000KU to generate random numbers. It does not use a software algorithm (PRNG). The hardware generator, the QNG Model J1000KU, derives most of its entropy from shot noise. Hence its entropy source is almost entirely quantum and therefore extremely non-deterministic – ie. completely true random. The J1000KU’s output has been tested extensively by the most stringent tests available and it has not failed any test for randomness in tests utilizing up to 500 billion bits. The J1000KU unit has passed Dr. George Marsaglia’s battery of ‘Die Hard’ tests. Background information: Software random generators (PRNG): Software RNGs use mathematical algorithms to generate random numbers, initializing the algorithm with a "seed" value derived from some repetitive operation in the computer, such as keystrokes, running processes, the computer's clock, or mouse movements. However, it is extremely difficult to come up with a completely random seed value, since most such operations only provide seeds with a small range of values. The challenge of software RNGs is that the sequence of numbers based on the seed value is completely deterministic, since their creation is accomplished with a software algorithm. So even if the seed value is truly random, the numbers the RNG creates are predictable if someone can figure out the algorithm used to produce them. Thus the numbers generated by software RNGs are not considered truly random, but pseudo-random, and the software RNGs that generate them are known as Pseudo-Random Number Generators (PRNGs). Hardware random generators (TRNG): Hardware RNGs do not require seeds because hardware random numbers are not computed values; they are not derived through a repeatable algorithm. Rather, hardware-generated random numbers are digitized snapshots of naturally occurring noise. Because there is no algorithm and no repeating sequences of numbers, even if a hacker could determine one number, he would not be able to use it to predict any future numbers. For this reason, hardware RNGs are known as Truly Random Number Generators, or TRNGs.