It's long been understood by most of society that discrimination is unfair, because as we practice discrimination we take away people's right to prove themselves as one of the countless and inevitable exceptions to statistics, and their right to be treated with the equal inherent value that all humans possess.

Some racist and sexist people have taken to arguments about demographic variation, so I figured I would play around with math a little bit and show just how (wrong) they are in overall practice.

My focus is more on how it would look in an equal world, if we could eliminate race and sex from having any impact on how people are treated and the lives that they live.

I'm one experiment in, and it's a pretty fun one so far. Not to say that this follows exact mathematical procedure (you can see my notes about it in the code), but I wrote a program to test the question of (when given certain parameters) how many candidates for a singular job position it takes for minor group traits to be dominant in probable top candidate results. My hope (which has been satisfied so far in experimentation) is that the numbers would be arbitrarily large so you could see that on the scale at which you make decisions racism and sexism are impractical, at least in an ideal world.

Of course, making an ideal world like this will require equal treatment for many years to come, and oftentimes the most important changes in society need to be made from the bottom up (rather than by people in power).

I intend to make the next test put these results into theoretical testing with use of RNG to simulate how things could go. This way, we'll see how well this playing around with numbers matches up to experiment.

Link to exact text of Python code on a google docs file

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