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in nanoid introduce page, the author told that it has a better algorithm and random % alphabet is a wrong method.

https://www.npmjs.com/package/nanoid#uniformity

i don't know is it real and why. hold there is a deduction(inference ?)

and also i had read the libray test code, when verify the distribution, count of alphabet will multiplication with a constance, why?

https://github.com/ai/nanoid/blob/master/test/non-secure.test.js#L49

hope you gay can read those english from google translation :)

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  • See thread here, though I don't really understand it either, sounds like multiplying the random number by the range of the alphabet (which any sane attempted implementation would do) would fix the distribution problem Commented Feb 28, 2020 at 6:51
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