4 ms·
Female Delusion Calculator
- slater 3y agoseriously?
- xpdx 3y agoTurns out I'm quite the catch. Who knew?
- brodouevencode 3y ago>> Delusion score >> *** >> 4/5 >> Cat enthusiast Oh that made me laugh
- pinewurst 3y agoThere needs to be a corresponding Male Delusion Calculator.
- brodouevencode 3y agoMales are way less choosy than females. Before I met my wife I would go out with any female that wasn't a complete mess.
- smoldesu 3y ago> 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.
- brodouevencode 3y agoI think the subcontext is > The stats can prove there're not enough high quality men for every girl out there given their standards.
- bombcar 3y agoIt'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.
- rainytuesday 3y agoI see it as partially an income inequality story; many men are not achieving enough financial success to interest women.
- scrum-treats 3y agoI 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.