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 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.
The internet gives everyone access to unlimited information, learning tools, and the new digital economy, so One Laptop Per Child should have major benefits.
The reality:
Another study just failed to find effects on academic performance.
This is one of those findings that's so much more damning than it at first appears.
The reason being, laptop access genuinely provides people with more information than was available to any kid at any previous generation in history.
If access was the issue, this resolves it.
And yet, nothing happens
This implementation of the program was more limited than other ones that we've already seen evaluations for though. The laptops were not Windows-based and didn't have internet, so no games, but non-infinite info too
So, at least in this propensity score- or age-matched data, there's no reason to chalk the benefit up to the weight loss effects.
This is a hint though, not definitive. Another hint is that benefits were observed in short trials, meaning likely before significant weight loss.
We can be doubly certain about that last hint because diabetics tend to lose less weight than non-diabetics, and all of the observed benefit has so far been observed in diabetic cohorts, not non-diabetic ones (though those directionally show benefits).
The reason why should teach us something about commitment
The government there has previously attempted crackdowns twice in the form of mano dura—hard hand—, but they failed because they didn't hit criminals hard enough
Then Bukele really did
In fact, previous attempts backfired compared to periods in which the government made truces with the gangs.
The government cracking down a little bit actually appeared to make gangs angrier!
You'd have been in your right to conclude 'tough on crime fails', but you'd be wrong.
You have to *actually* enforce the law or policy won't work. Same story with three-strike laws, or any other measure
Incidentally, when did the gang problems begin for El Salvador? When the U.S. exported gang members to it
Diets that restrict carbohydrate consumption lead to improved blood sugar and insulin levels, as well as reduced insulin resistance.
Additionally, they're good or neutral for the liver and kidneys, and they don't affect the metabolic rate.
Carbohydrate isn't the only thing that affects glycemic parameters.
So does fat!
So, for example, if you replace 5% of dietary calories from saturated fat with PUFA, that somewhat improves fasting glucose levels (shown), and directionally improves fasting insulin:
Dietary composition may not be useful for improving the rate of weight loss ceteris paribus, but it can definitely make it easier given what else it changes.
Those non-metabolism details may be why so many people find low-carb diets so easy!