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.
At every age, the incidence of dementia is down. As a society, people are no longer suffering dementia nearly as often!
The world over, child mortality is way down. It's unusual for parents to experience the death of a child these days, where even a century ago, it was the global norm.
Each year, novel gene therapies are approved.
The number of gene therapies in the pipeline is also rapidly increasing. There is tons of progress to be made here, and the main issue is regulatory.
We have lots of low-hanging fruit in curing disease!
There's a common type of misunderstanding that sounds like this:
"If taller people tend to be more educated, and women tend to be shorter than men, how do you explain women tending to be more educated?"
The issue has to do with intercepts. Consider this plot:
You can see that, among Whites, women tend to be shorter than men, and they tend to have lower earnings.
But at the same time, to similar degrees in both sexes, taller people tend to have higher earnings.
Perplexed? You shouldn't be.
The fact is that there's more to this that differentiates men and women than height, so the intercept for women is shifted down, even though the slopes of the height * income relationship are fairly comparable.
Debate about the value of essays in college admissions missed a key point:
Essays are biased, so should not be used.
Here's an example: High-income people know 'what to write' to look good to raters, so they outperform on essays relative to their other qualifications.
This shows up by race, too, and that's why admissions departments use essays to infer race for the express purpose of discriminating.
Write that you're Black; that you grew up as a poor immigrant; that you're gay or a cripple.
The reason essays do not have a role to play in the admissions process is because they're biased. It's plain, it's simple, it doesn't need to be discussed any further.
And here's some good policy: Use tools that are not biased or lose public funding.
Happy Autism Awareness Day! I think too many people are 'aware' of autism.
Have you ever met someone who claims to be autistic, but they've never been diagnosed?
Self-reported autism spectrum disorder (ASD) is practically uncorrelated with real, clinician-diagnosed autism🧵
Sort self-reporters into those with high and low ASD scores, and you get the bars on the left. The "high-trait" self-reporters look like people with diagnosed autism (ASD column).
But they're more socially anxious (middle) and avoidant (right).
So far, the means of distinguishing diagnosed from self-reported autistics have been crude.
To get a more nuanced understanding of their differences, we have to look at behavior.
For that, we'll start with the social control task.