>
>
> You cannot conclude that - no test can tell you it, but this test
> rather obviously does not, since what it tests is the equality of
> probability distributions, so what you can now say is that the
> distribution is square. A completely predictable sequence, say 0..63,
> would satisfy that.
>
>
Yes, I agree. That is way I proposed to Pawel analysis from the area of
stochastic processes.


> Empirically, it seems to me that these numbers are actually unlikely
> to be correlated with each other, but that has not been tested.
>


Another yes, you are right. We need much more data to check if we have a
stochastic process consisted of independent random variables.


>
> Also untested is correlation between the numbers from different
> devices on the same run - if they were strongly correlated, for
> example, that would be bad.
>

I have proposed that also, but it requires checking different
architectures. I even offered my raspberry pi :-), but unfortunately
FreeBSD does not want to work on it :-(



>
> Not that I dislike Pawel's approach, it seems promising, I'm just
> pointing out the weakness of the analysis.
>


Again, thanks for pointing the weakness of the analysis, you are completely
right about everything. I have been thinking about all of these issues, but
unfortunately forgot to write it down as a constraints of the analysis.

Regards,
Mariusz
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