- My gender is e, which can be represented by neither integers nor floating points. - Can it be expressed or represented approximately in IEEE-754 form? - Always approximated, never truly represented 😞 - Unless your encoding has a special value that, by definition, is euler’s constant :p - Good point. Specifically code point U+2107 https://en.wikipedia.org/wiki/ℇ - Ah so ur gender can be represented in UTF 8. 
 
 
- No taxation without approximation! 
 
- Everything can be represented approximatively. - e = π = 3 
 
 
- Obviously, there is True, False and FILE_NOT_FOUND - Better than having your gender datatype being a Bobool3ol and evaluating to “Tru(🍒🎂🍒)lse”. 
 
- There are - 10kinds of people in this world. Those who understand binary and those who don’t.- There are - 10kinds of people in this world. Those who get ternary; those who don’t; those who thought this was going to be a binary joke- There are - 10kinds of people in this world. Those who get quaternary; those who don’t; those who thought this was going to be a ternary joke; those who can see where this is going…- I might be a slow learner but I’m catching on… - Regardless of what base you’re using, 10 is always the nth number. In base 10 (normal numbers), 10 is 10th. In base 2 it is the 2nd. - 1
- 10
- 11
 - In base 16 (hexadecimal) it is the 16th. - 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- A
- B
- C
- D
- E
- F
- 10
 - The original joke is “there are 10 kinds of people, those who understand binary and those who don’t l” because 10 in binary is 2 in base 10. But they’re pointing out that a similar joke works for all bases of numbers. - I love that you felt like this needed explaining - thanks! 
- Some of us would argue 10 is the n+1 th number because zero comes first. Otherwise you’re just throwing a new digit into the mix when you get to 10. - Zero comes zeroth. 
 
 
- ah I see, you are the 10th kind! 
 
 
 
- every base is base - 10
- And what are the other e? 
- There are n types of people in this world: Those who don’t understand numeral systems, those who understand base x systems for x ∈ [2, n] and those who get pedantic about this meta-joke. 
 
- Choose one class of gender: - Natural
- Rational
- Irrational
- Complex
 - this is p-adic gender erasure 
- That’s a very quaternionphobic list. 
- It is definitely complex numbers in polar form 
 
 
- Maybe it can be represented by 1qbit - literally discussed with my friends the other day that gender is like a vector in Hilbert space 
- I don’t think so, because with qubits the intermediate values can be non binary but the end result must be binary when read. 
 
- Even if every single person in the world had a unique gender, you could store that in 33 bits - You can store that in a small QR code - Those bits wouldn’t really provide the information to construct that gender though. - Neither would if you stored it as a bit 
 
 
- I’ve been thinking about this now and again. IMO gender, if one insists on tracking it at all (which I mostly find counterproductive), would need to be a vector / tuple of floating-point values. The components would be something like: - Sexual Development Index: Encodes chromosomal sex, genitalia, and other primary sexual characteristics (X/Y chromosome ratio).
- Hormonal Balance & Secondary Sexual Characteristics: Combines hormonal levels and the resulting secondary traits (body hair, muscle mass, etc.).
- Brain Structure: A dimension indicating how a person’s brain structure aligns with typical male or female patterns.
- Gender Identity: A measure of self-identified gender, representing the psychological and social dimension.
- Fertility/Intersex Traits: A combined measure of fertility potential and the presence of intersex traits (e.g., ambiguous genitalia, mixed gonadal structures, etc.).
 - Ideally it would track the specific genes that code for all of the above factors, but unfortunately science hasn’t got those down yet. - Also genes is only half of it. Expression of genes is another, complicated story. 
- A good way would be to create as many variables as possible that map anything relevant, genes, upbringing, sexual and gender expression, etc., and then doing a PCA to reduce the defining vector to as few elements as possible. - I like how you think but I’m not sure if that alone will hold water. A variable can vary wildly even though it’s not very relevant to the property you’re interested in, and PCA would consider such a variable to be very significant. Perhaps a neural network could find a latent space. But ideally we want the components to have some intuitive meaning for humans. 
 
- Gender Identity, now with linear algebra. Those 3b1b videos are going to be super useful, but not in the way the author intended. 
- These are all measurable except 4 
- In how far does gender change in your hypothetical metric with transition. If I take hormones for example, I would influence this metric. - Another confusing point would be how you try tracking gender, but having a gender identity value inside the metric. How would you even track this gender then? - All of these are measurable. I’m not sure what’s the source of your confusion. Yes the terminology becomes a bit ambiguous unless we make up a new word/term for the tuple, but gender identity is just one dimension of it. It can be measured with a standardized questionnaire. 
 
 
- Gender is not a boolean value, it’s a variable. - 🚫 - const gender- 👉 - var gender- khm, khm 
 - let gender- please don’t use deprecated syntax - May be gdscript 
- But that’s immutable 🦀 
 
 
- And liable to type conversion errors and precision loss. - Jesus, why’d you have to bring floating point and machine precision into the conversation? Now I won’t sleep. And the nightmares will be worse than before. 
 
- A boolean variable? 
 
- So many other things are also non-binary, but people insist that not being 100% on their side means you’re a million percent on the extreme opposite hateful wrong side. - Absolutely. My baseline is that I want everyone to be treated equally and with respect. I want everyone have the same protections from the government and everyone to be allowed to be and to love whoever they want. - Past that, it gets into minutia I just can’t get on board with and it’s hurting the left as a whole because people are trying to force language and thought policing on people, which I don’t like, it’s authoritarian, and I think it’s a losing strategy. - It’s been said that indecisiveness and perfectionism are liberal weaknesses, and decisiveness and being willing to ignore imperfections for the sake of the team are conservative strengths. I think Michael Moore put it best… Liberals say, “What should we do about dinner? I don’t know… do you want to go out? I dunno, do you? Well, if you do. Okay, where should we go? I dunno, where do you wanna go?” A conservative slams his hand on the table and says, “Get in the car, we’re goin’ to the Sizzler!” 
 
- A lot of the userbase here thinks this way and it’s very tiresome 
 
- mmm… a - long long- long long man: https://www.youtube.com/watch?v=6-1Ue0FFrHY
 
- Approximation is an important tool for compressing information into useable forms. All labels are limited approximations too. Such compression is inevitably lossy, but that is a sacrifice for the sake of practicality. The important question is what level of compression is acceptable for a given context. If I describe the location of a chess piece on the board, I don’t need to specify how far off-center on its square a given piece is, so a 0-7 offset along each of the two axes is enough for game purposes. - When it comes to gender, I think we all agree that [0, 1] is insufficient, but how do we determine what is sufficient? Do we argue that a 2-bit vector (masc, fem) is enough to describe {neither, fem, masc, both} for rough rounding, or do we need more detailed values along those axes, or perhaps a third axis too (or more)? - This is a very nice and effective blurb, I’m saving this comment for future use - There’s no awards/medals here but take this: 🥇 - Honestly, “I found this useful/interesting/amusing/worth leaving a positive comment avout” is the only award I need. Thanks for the words of appreciation ❤️ 
 
- Maybe a byte using bitflags? 
 
- We may have discovered gender entropy, Shannon would be proud 
- lets burn down our civilizations by spending all our wealth discussing this - The issue is based on legal terminology. Gender isn’t a legal thing only pushed into our vocabulary. - Allocate an unbound memory blob and sit back for the herd of the Rust coders to line up. Sell them a soda while they do their best chicken parody 
- 0100100100100111011011010010000001100001001000000111001001101111011000100110111101110100001000000110000101110100011101000111001001100001011000110111010001100101011001000010000001110100011011110010000001101101011000010110011101101110011001010111010001110011 - There are 2⁶⁴ genders 
 
- As it is not stable I’d go with a database. - Sqlite. - Better go with MySQL to ensure foreign keys comstrains - not sure i want strains of com in my gender 
 
 

















