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  1. #11
    Elite PokerOwned Member RWPFhero's Avatar
    Join Date
    Jan 2012
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    620
    How do u prove randomness? I honestly don't know if you can.
    "Think about Not Thinking"
    From Wikipedia
    There are two principal methods used to generate random numbers. One measures some physical phenomenon that is expected to be random and then compensates for possible biases in the measurement process. The other uses computational algorithms that can produce long sequences of apparently random results, which are in fact completely determined by a shorter initial value, known as a seed or key. The latter type are often called pseudorandom number generators.

    A "random number generator" based solely on deterministic computation cannot be regarded as a "true" random number generator, since its output is inherently predictable. How to distinguish a "true" random number from the output of a pseudo-random number generator is a very difficult problem. However, carefully chosen pseudo-random number generators can be used instead of true random numbers in many applications. Rigorous statistical analysis of the output is often needed to have confidence in the algorithm.
    Good Luck On and Off The Felt
    Utilize The Block Chain because the future depends on it!

  2. #12
    PokerOwned God Swittie's Avatar
    Join Date
    May 2012
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    1,789
    Quote Originally Posted by RaiseWinPotFold View Post
    How do u prove randomness? I honestly don't know if you can.
    "Think about Not Thinking"
    From Wikipedia
    There are two principal methods used to generate random numbers. One measures some physical phenomenon that is expected to be random and then compensates for possible biases in the measurement process. The other uses computational algorithms that can produce long sequences of apparently random results, which are in fact completely determined by a shorter initial value, known as a seed or key. The latter type are often called pseudorandom number generators.

    A "random number generator" based solely on deterministic computation cannot be regarded as a "true" random number generator, since its output is inherently predictable. How to distinguish a "true" random number from the output of a pseudo-random number generator is a very difficult problem. However, carefully chosen pseudo-random number generators can be used instead of true random numbers in many applications. Rigorous statistical analysis of the output is often needed to have confidence in the algorithm.
    woww....really nice research for a post Pooffy.......clap.gif


    In the beginning God said : "The four dimensional divergence of an antisymmetric second rank tensor equals zero", and at once there was light.

  3. #13
    PokerOwned Veteran
    Join Date
    Feb 2013
    Posts
    67
    I think that every online Poker room shuffling cards to make pot bigger and rake.

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