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.
The whole "nanny dog" thing is made up. There is no historical evidence that pit bulls were ever bred to be stewards or friends to children.
The evidence for that myth is basically 'someone said it on Facebook'🧵
Even many sources that are favorable towards pit bulls or active promoters of them will occasionally admit there's no real basis for the "nanny dog" claim.
Example:
Another example (and yes, I know "loyal and loving demeanor" is a lie; this is posted for the admission of myth):
The Australian pension system is funded through mandatory contributions into private retirement accounts
During the COVID pandemic, the government allowed people to pull up to $20,000 from those accounts decades early
What happened?
Firstly, uneducated people pulled the most:
Australia did this because they needed fiscal stimulus.
If they didn't allow people to make early withdrawals from their accounts—which normally remain inaccessible until retirement age—, they would have ended up in a very bad position.
But people did withdraw.
About a quarter of those aged >34 withdrew.
The most common amount to take out was $10,000 each time the possibility became available.
All said and done, that typically meant pulling down 51% of the total balance. That also meant foregoing $120,000 on average by retirement!
Why do identical twins have such similar personalities?
Is it because they're reared together? Is it because people treat them alike due to their visual similarity?
Nope! Neither theory holds water.
Despite looking as similar as identical twins and being reared apart, look-alikes are not similar like identical twins are. In fact, they're no more similar than unrelated people.
This makes sense: they're only minimally more genetically similar than regular unrelated people.
The other thing is that twins reared apart and together have similarly similar personalities.
In fact, there might be a negative environmental effect going on, where twins reared together try to distinguish their personalities more!
Smart people tend to earn higher educations and higher incomes, and to work in more prestigious occupations.
This holds for people from excellent family backgrounds (Utopian Sample) and comparing siblings from the same families!
This is true, meaningful, and the causal relationship runs strongly from IQ to SES, with little independent influence of SES. Just look at how similar the overall result and the within-family results are!
But also look at fertility in this table: quite the reverse!
The reason this is hard to explain has to do with the fact that kids objectively have more similar environments to one another than to their parents.
In fact, for a cultural theory to recapitulate regression to the mean across generations, these things would need to differ!
Another fact that speaks against a cultural explanation is that the length of contact between fathers and sons doesn't matter for how correlated they are in status.
We can see this by leveraging the ages parents die at relative to said sons.