I get you point, but biological sex is either male, female, or a combination of male and female. I see your perspective that there are three options. But something like testicle vs ovaries is binary, with the option to have both, or none I guess.
You just listed four options, but still argue that’s a ‘binary’. Every time you look closer, you’re going to find another outlier to categorize. Eventually, it starts to make more sense to look at it as a spectrum instead of a rigid set of ‘either A or B or AB or {NULL} or …’
See, I think you may just need a dictionary. Binary means there is one or the other, there is no “both or neither” option. If you have more than a forced “either/or” choice, then by definition it’s not binary.
True, false, and neither isn’t binary by any definition you’ll find in any dictionary.
So, no, definitionally that is not binary. Can’t have four options in a binary.
What you’re describing is actually a bimodal distribution. This is when the data congregates strongly around two peaks, but there are also many entries along a spectrum between them
I get you point, but biological sex is either male, female, or a combination of male and female. I see your perspective that there are three options. But something like testicle vs ovaries is binary, with the option to have both, or none I guess.
You’re so close.
You just listed four options, but still argue that’s a ‘binary’. Every time you look closer, you’re going to find another outlier to categorize. Eventually, it starts to make more sense to look at it as a spectrum instead of a rigid set of ‘either A or B or AB or {NULL} or …’
See, I think you may just need a dictionary. Binary means there is one or the other, there is no “both or neither” option. If you have more than a forced “either/or” choice, then by definition it’s not binary.
True, false, and neither isn’t binary by any definition you’ll find in any dictionary.
So, no, definitionally that is not binary. Can’t have four options in a binary.
What you’re describing is actually a bimodal distribution. This is when the data congregates strongly around two peaks, but there are also many entries along a spectrum between them