On 12/06/2015 15:35, Michael Titke wrote:
That does not explain the bias, I guess. I repeat: But IMHO a function (random n state/generator) should guarantee a common saturation of the destination space when the current state is filled with real randomness.
I have never seen such a criterion for the seeding procedure of any random generator. It's not an unreasonable expectation, but I don't think any implementation actually makes such a promise.
Do you really think that seeding with numbers from an entropy pool would create such a strong bias. I don't think so.
I have no opinion about this. But I do remember Knuth's warning never to choose a random number generator at random. It's very hard to predict the impact of any change.
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