Inspired by the recent thread about pseudorandom number generators on python-ideas (where I also mistakenly first wrote this message), I began to wonder: suppose that I had a pseudorandom number generator that attempted to generate a nonuniform distribution. Suppose for instance that it was to generate a 0 bit 2/3 of the time, and a 1 bit 1/3 of the time.

How would one go about testing this PRNG against an idealized (similarly biased) PRNG?

- DLD
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