News for hackers. Stuff that matters.
Re:Female Delusion Calculator by slater on Wednesday May 10, 2023 @01:44PM (#35890735)
seriously?
Re:Female Delusion Calculator by xpdx on Wednesday May 10, 2023 @01:47PM (#35890779)
Turns out I'm quite the catch. Who knew?
Re:Female Delusion Calculator by brodouevencode on Wednesday May 10, 2023 @02:08PM (#35891075)
>> Delusion score

>> ***

>> 4/5

>> Cat enthusiast

Oh that made me laugh

Re:Female Delusion Calculator by pinewurst on Wednesday May 10, 2023 @01:51PM (#35890841)
There needs to be a corresponding Male Delusion Calculator.
Re:Female Delusion Calculator by brodouevencode on Wednesday May 10, 2023 @02:09PM (#35891096)
Males are way less choosy than females. Before I met my wife I would go out with any female that wasn't a complete mess.
Re:Female Delusion Calculator by smoldesu on Wednesday May 10, 2023 @01:57PM (#35890923)
> The stats can prove there're not enough high quality men for every girl out there.

I... don't even know where to begin with this statement.

Re:Female Delusion Calculator by bombcar on Wednesday May 10, 2023 @02:07PM (#35891061)
It's an extension of the online dating meme where X% of guys get all the swipes or whatever you call it.

When people are asked their "standards" online they have high ones because they treat it like a wishlist, but when they actually interact in person based on it you find out everything's negotiable.

Re:Female Delusion Calculator by brodouevencode on Wednesday May 10, 2023 @02:05PM (#35891039)
I think the subcontext is

> The stats can prove there're not enough high quality men for every girl out there given their standards.

Re:Female Delusion Calculator by rainytuesday on Wednesday May 10, 2023 @01:58PM (#35890937)
I see it as partially an income inequality story; many men are not achieving enough financial success to interest women.
Re:Female Delusion Calculator by scrum-treats on Wednesday May 10, 2023 @03:02PM (#35891894)
I think there's actually something wrong with the calculation.

For instance, it doesn't appear to control for sample size by Age group and Height (e.g., weighted average). Meaning, it's sensitive to sample size (i.e., sampling bias). So, just having more/less data points for 20-30 year olds than 30-50 year olds will skew the outcome (and, surprise, it does).

For example, if I expand the Age window from 30-50 to 20-50 (holding other setting constant; Weight, Race = "Any", Income = 80K, Height = 5'11") I would expect my success rate to increase, as I am increasing the pool of applicants. However, the tool shows a decrease (30-50 = 9.2%; 20-50 = 6.2%). If I change the Height to 6", we again see a reversal (30-50 = 5.5%; 20-50 = 3.9%).

Guess it's hard to find a guy who knows statistics too.