I meant to show the output of my code, but Pasteboard was down at the time: https://gcdnb.pbrd.co/images/f8bgGZMW3deq.png?o=1

Normal distribution is not the same as uniform distribution. I edited in a normal distribution sampler in your codepen example.

https://pastebin.com/raw/CP4yNRE9

I see, thanks!

Btw, the following two are equivalent (in JavaScript syntax):

    var a = Math.max(Math.random(), Math.random());
    var b = Math.sqrt(Math.random());

Curious, how come? Does it become a statistical thing?

Well, not sure whether you'd call it statistics. It's a mathematical fact from probability theory. And it doesn't matter how often you sample: the distributions themselves are the same.

I came across that one in the other direction, when trying to work out how to make weighted rendezvous hashing work. See https://en.wikipedia.org/wiki/Rendezvous_hashing