The McKinsey study that claimed diverse workforces lead to bigger profits was always fake (they won't share data, it doesn't replicate for the S&P500 or other settings, and it doesn't make sense).
But fake social psych research is a demand problem, not just a supply problem.
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But fake social psych research is a demand problem, not just a supply problem.
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Typical Saturday evening in the university, the 3 pre-med students have a shootout (in the dorm—shooting through the neighbor's walls) aiming in the direction of the mechanical engineers, who disrespected them about their SAT exam.
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Some UK users on the YouTube subreddit are reporting that their VPNs are being detected and blocked by the platform
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Men focus on external, inter-group fighting
Women focus on internal, intra-group fighting
Coalitions and conflict: A longitudinal analysis of men's politics, 2021
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Women focus on internal, intra-group fighting
Coalitions and conflict: A longitudinal analysis of men's politics, 2021
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Ever notice stuff like
“Why are broke guys so good in bed?”
or
“Why are the hottest people so boring?”
It feels like there’s a tradeoff between traits, but that’s often an illusion.
What’s really happening is this -- when you filter for people who score high on the sum of two traits (e.g. total dating appeal), you start to see a negative correlation between those traits within that group, even if no such tradeoff exists in the broader population.
It’s a statistical artifact. You’re looking at people who made the cut overall.
The plot attached shows it --
Looks and coolness are uncorrelated in the population, but once we filter for people with high "total attractiveness" (looks + coolness), a negative correlation emerges.
This doesn’t just apply to dating, it shows up anytime you’re selecting based on the total of two uncorrelated or loosely related traits.
🄳🄾🄾🄼🄿🤖🅂🅃🄸🄽🄶
“Why are broke guys so good in bed?”
or
“Why are the hottest people so boring?”
It feels like there’s a tradeoff between traits, but that’s often an illusion.
What’s really happening is this -- when you filter for people who score high on the sum of two traits (e.g. total dating appeal), you start to see a negative correlation between those traits within that group, even if no such tradeoff exists in the broader population.
It’s a statistical artifact. You’re looking at people who made the cut overall.
The plot attached shows it --
Looks and coolness are uncorrelated in the population, but once we filter for people with high "total attractiveness" (looks + coolness), a negative correlation emerges.
This doesn’t just apply to dating, it shows up anytime you’re selecting based on the total of two uncorrelated or loosely related traits.
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DoomPosting
Ever notice stuff like “Why are broke guys so good in bed?” or “Why are the hottest people so boring?” It feels like there’s a tradeoff between traits, but that’s often an illusion. What’s really happening is this -- when you filter for people who score…
Berkson's paradox
= Part of what’s behind the lies about better being worse, even when better clearly is better
E.g. the women who claim smarter men must be worse in some other ways,
Or those who claim that more beautiful women must be worse in some other ways
The most common example of Berkson's paradox is a false observation of a negativecorrelation between two desirable traits, i.e., that members of a population which have some desirable traits tend to lack a second. Berkson's paradox occurs when this observation appears true when in reality the two properties are unrelated—or even positively correlated—because members of the population where both are absent are not equally observed.
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= Part of what’s behind the lies about better being worse, even when better clearly is better
E.g. the women who claim smarter men must be worse in some other ways,
Or those who claim that more beautiful women must be worse in some other ways
The most common example of Berkson's paradox is a false observation of a negativecorrelation between two desirable traits, i.e., that members of a population which have some desirable traits tend to lack a second. Berkson's paradox occurs when this observation appears true when in reality the two properties are unrelated—or even positively correlated—because members of the population where both are absent are not equally observed.
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