An example of what I mean:
I, in China, told an English speaking Chinese friend I needed to stop off in the bathroom to “take a shit.”
He looked appalled and after I asked why he had that look, he asked what I was going to do with someone’s shit.
I had not laughed so hard in a while, and it totally makes sense.
I explained it was an expression for pooping, and he comes back with, “wouldn’t that be giving a shit?”
I then got to explain that to give a shit means you care and I realized how fucked some of our expressions are.
What misunderstandings made you laugh?
What’s the real phrase?
“Whore bath” is how I’ve heard it
Whores bath. It’s when you hit up the bathroom to freshen your junk before you get busy
People are trying to post the answer and it’s getting censored lol. The term is “core’s bath,” but replace the “c” with “wh”.
Lemmy.ml censors the word “whore”???
What a bunch of pricks
I mean, I can kinda understand it - socialists/communists/anarchists generally prefer ‘sex worker’, because ‘whore’ has some pretty terrible connotations due to being used as a slur for so long.
But still, censoring it instead of just deleting/blocking the handful of pricks who still say it as an insult seems… well, par for the course for .ml tbh
I don’t understand it at all when it’s not nearly as bad as some of the shit that gets said on there.
Pretty pathetic that they feel the need to censor words
https://github.com/LemmyNet/lemmy/blob/main/crates/utils/src/utils/slurs.rs#L78
Line 78 has the regex for Lemmy’s profanity filter. The .ml instance has it enabled, .world and most others I’ve seen do not.
I’m quite impressed by the elaborate regex for the n word
ni((g{2,}|q)+|[gq]{2,})[e3r]+(s|z)?
It isn’t censored on most instances.
#JustDotMLProblems
Whore’s bath.
Bruh .ml censores the urls too
pathetic ass instance
Wow, that’s insanity. I don’t particularly like the word, but come on.
The censor hits any substring, rather than trying to heuristically guess whether the substring is being used as a slur or not, it assumes users are smart enough to pick up on the context.