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On Sat, Jun 28, 2014 at 8:46 PM, »Q« <boxcars@×××.net> wrote: |
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> On Sat, 28 Jun 2014 19:53:08 -0500 |
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> Canek Peláez Valdés <caneko@×××××.com> wrote: |
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> |
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>> On Sat, Jun 28, 2014 at 7:37 PM, <gottlieb@×××.edu> wrote: |
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>> > On Sat, Jun 28 2014, Canek Peláez Valdés wrote: |
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>> > |
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>> >> That doesn't matter. Take a non-negative integer N; if you flip a |
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>> >> coin an infinite number of times, then the probability of the coin |
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>> >> landing on the same face N times in a row is 1. |
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>> > |
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>> > This is certainly true. |
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>> > |
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>> >> This means that it is *guaranteed* to happen |
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>> > |
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>> > That is not as clear. |
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>> |
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>> Let me be more precise (and please correct me if I'm wrong): It is |
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>> guaranteed to happen at some point in the infinite sequence of random |
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>> flip coins, but we cannot know when it will happen, only that it will |
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>> happen. |
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>> |
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>> That's the way I got it when I took my probability courses, admittedly |
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>> many years ago. |
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> |
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> The probability is 1 in the sense that the as the number of flips M |
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> increases, so does the probability of getting N heads (or tails) in a |
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> row also increases, and the upper bound for the sequence of |
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> probabilities is 1. It's not a probability about something which |
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> actually happens; no one so far has been able to flip a coin an |
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> infinite number of times, not even a computer. |
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|
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And no one will. Ever. |
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|
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>> In any way, even if I'm wrong and it is not guaranteed, the main point |
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>> remains true: the probability of getting a large sequence of the same |
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>> number from a RNG is 1 for every true random RNG, and therefore seeing |
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>> a large sequence of the same number form a RNG doesn't (technically) |
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>> means that it is broken. |
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> |
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> It's true that that wouldn't *prove* the generator is broken. But it |
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> might be a good reason to take another look at the algorithm. |
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|
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Agreed. |
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Regards. |
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-- |
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Canek Peláez Valdés |
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Profesor de asignatura, Facultad de Ciencias |
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Universidad Nacional Autónoma de México |