We doing funny emails?
Submitted 1 day ago by Grail@multiverse.soulism.net to science_memes@mander.xyz
https://multiverse.soulism.net/static/media/posts/Gi/e2/Gie2QCJpW05Ot21.png
Comments
MonkeMischief@lemmy.today 13 hours ago
Sunsofold@lemmings.world 17 hours ago
As long as the sample size is large enough outliers can be absorbed.
Armand1@lemmy.world 1 day ago
I mean, they’re right.
grue@lemmy.world 1 day ago
I mean, I LOL’d at the “this data is internally valid in the sense that I am precisely average in all respects, in relation to all the other [zero] people I know of the same sex” part.
SpongyAneurysm@feddit.org 11 hours ago
Mathematically speaking it can’t be, because if you put it in relation to only the OTHER people, you’d have to divide by zero which ends up non defined.
It only works out when you put it in relation to ALL people within those criteria, thus dividing by one.
jol@discuss.tchncs.de 1 day ago
It’s frustrating. It’s 2026 and we’re still pointlessly gendering things. And I don’t mean this is a “omg you assumed my gender” way. I mean that organization’s that should know better go the extra mile to apply strict genders to things and processes. If this email is about workplace harassment or something like that, it would be easier to just not gender people.
_skj@lemmy.world 1 day ago
The email sounds like a college student participating in a sociology study for class and asking the professor for clarification. This is exactly the kind of thing that I’d expect to ask about gender along with a bunch of other personal information. The goal being to see if any patterns in the responses.
Sociology in general does have the problem that categories are important and helpful to spotting patterns, but people are very difficult to categorize. People just don’t fit cleanly into categories
Ratio_Tile@lemmy.blahaj.zone 1 day ago
Well, sometimes gender fucks with the data because we live in a society and all that. Gotta at least try to compensate for likely sources of error
pageflight@piefed.social 1 day ago
I agree, seems more like an insightful reminder about inclusivity, product design, and data analysis; and a window into someone who’s probably incredibly frustrated trying to be positive.