A new, comprehensive preregistered meta-analysis found that, whether the diversity was demographic, cognitive, or occupational, its relationship with performance was near-zero.
These authors were very thorough
Just take a look at the meta-analytic estimates. These are in terms of correlations, and they are corrected for attenuation
These effect sizes are significant due to the large number of studies, but they are very low, even after blowing them up
You may ask yourself: are there hidden moderators?
The answer looks to be 'probably not.' Team longevity, industry sector, performance measures, power distance, year or country of study, task complexity, team interdependence, etc.
None of it really mattered.
Here's longevity:
Here's power distance:
Here's collectivism:
But let's put this into practical terms.
Using these disattenuated effects, if you selected from two groups you expected to have comparable performance otherwise, but one was more diverse, you'd make the 'correct' (higher-performing) decision in 51% of cases (vs. 50%).
That assumes there really hasn't been any bias in what gets published. If there has been, you might want to adjust your estimate downwards towards zero, or upwards if you think the literature was rigged the other way.
The paper paints an unsupportive picture of the idea that diversity on its own makes teams more performant.
I simulated 100,000 people to show how often people are "thrice-exceptional": Smart, stable, and exceptionally hard-working.
I've highlighted these people in red in this chart:
If you reorient the chart to a bird's eye view, it looks like this:
In short, there are not many people who are thrice-exceptional, in the sense of being at least +2 standard deviations in conscientiousness, emotional stability (i.e., inverse neuroticism), and intelligence.
To replicate this, use 42 as the seed and assume linearity and normality
The decline of trust is something worth caring about, and reversing it is something worth doing.
We should not have to live constantly wondering if we're being lied to or scammed. Trust should be possible again.
I don't know how we go about regaining trust and promoting trustworthiness in society.
It feels like there's an immense level of toleration of untrustworthy behavior from everyone: scams are openly funded; academics congratulate their fraudster peers; all content is now slop.
What China's doing—corruption crackdowns and arresting fraudsters—seems laudable, and I think the U.S. and other Western nations should follow suit.
Fraud leads to so many lives being lost and so much progress being halted or delayed.
British fertility abruptly fell after one important court case: the Bradlaugh-Besant trial🧵
You can see its impact very visibly on this chart:
The trial involved Annie Besant (left) and Charles Bradlaugh (right).
These two were atheists—a scandalous position at the time!—and they wanted to promote free-thinking about practically everything that upset the puritanical society of their time.
They were on trial because they tried to sell a book entitled Fruits of Philosophy.
This was an American guide to tons of different aspects of family planning, and included birth control methods, some of which worked, others which did not.
One of the really interesting studies on the psychiatric effects of maltreatment is Danese and Widom's from Nat. Hum. Behavior a few years ago.
They found that only subjective (S), rather than objective (O) maltreatment predicted actually having a mental disorder.
Phrased differently, if people subjectively believed they were abused, that predicted poor mental health, but objectively recorded maltreatment only predicted it if there was also a subjective report.
Some people might 'simply' be more resilient than others.
I think this finding makes sense.
Consider the level of agreement between prospective (P-R) and retrospective (R-P) reports of childhood maltreatment.
A slim majority of people recorded being mistreated later report that they were mistreated when asked to recall.
The Reich Lab article on genetic selection in Europe over the last 10,000 years is finally online, and it includes such interesting results as:
- Intelligence has increased
- People got lighter
- Mental disorders became less common
And more!
They've added some interesting simulation results that show that these changes are unlikely to have happened without directional selection, under a variety of different model assumptions.
They also showed that, despite pigmentation being oligogenic, selection on it was polygenic.
"[S]election for pigmentation had an equal impact on all variants in proportion to effect size."
I still think this is one of the most important recent papers on AI in the job market🧵
The website Freelancer added an option to generate cover letters with AI, and suddenly the quality associated with cover letters stopped predicting the odds of people getting hired!
LLMs do a few things to cover letters.
Firstly, they increase the quality, as measured by how well tailored they are to a given job listing.
Second, they make job applications in expensive, so people start spending less time shooting off applications.
More, rapidly-produced job applications becomes the norm.