Here's another explanation. My hypothesis goes deeper than gender imbalance.
Most job interviews are theater nowadays. It's about conformity, performative culture fitting, agreeableness (read, willing to slave away without complaining).
On average, women tend to better suited for such processes. Along with immigrant groups.
Women are taught from a young age of how to engage with their role in a patriarchal society. This includes caretaking, nurturing, and having patience for men. It's not uncommon for young girls to be given household chores that they must "suck up" and do while they're brothers get away with not doing chores.
In addition, we associate politeness and pleasantness with femininity. A woman ought to be kind and softspoken, and must not swear or raise her voice. We associate masculinity with abrasiveness, stubbornness, arrogance, and rage.
In most jobs and, in fact most social processes, the former is more useful to take advantage of. This could be why women, on the whole, would do better in interviews.
In addition, it is well-known that women socialize much more, including more conversing. They are probably much better at being social on the whole because of that. Meaning, women are much more likely to be charming and likable than men.
It does but the internal state is not going to be very meaningful in text form. Edge 4826 connects to vertex 7264.
Think about SVG - you can do some simple stuff procedurally but you're never going to create something like the SVG tiger in code, nor would it be remotely useful to read the source SVG for the SVG tiger. Most CAD is like that.
I have been working on a 100% vibe-coded magit-style jujitsu porcelain for neovim. I cannot emphasize "vibe-coded" enough -- I have not read a single line of code here, nor do I know much about neovim development in general. All that said, it's been working pretty well for me the last couple weeks!
Untested Hypothesis: LLM instruction is usually an intelligence+communication-based skill. I find in my non-authoritative experience that users who give short form instructions are generally ill prepared for technical motivation (whether they're motivating LLMs or humans).
My understand is Astral's focus for ty has been on making a good experience for common issues, whereas they plan for very high compliance but difficult or rare edge cases aren't are prioritized.
Compliance suite numbers are biased towards edge cases and not the common path because that's where a lot of the tests need to be added.
My advise is to see how each type checker runs against your own codebase and if the output/performance is something you are happy with.
> My understand is Astral's focus for ty has been on making a good experience for common issues, whereas they plan for very high compliance but difficult or rare edge cases aren't are prioritized.
I would say that's true in terms of prioritization (there's a lot to do!), but not in terms of the final user experience that we are aiming for. We're not planning on punting on anything in the conformance suite, for instance.
If you care about correctness, unless you pick pyright, don't bother at the moment. If you're creating a new project and looking for a promise for better faster typing, then pick one of Zuban, Pyrefly, or ty.
Most job interviews are theater nowadays. It's about conformity, performative culture fitting, agreeableness (read, willing to slave away without complaining).
On average, women tend to better suited for such processes. Along with immigrant groups.
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