Are people with bigger brains smarter (on average)?
Here I will summarize some of the biggest studies which test whether there is a correlation between intelligence and brain size (within modern humans).
Thread.
2) In modern intelligence tests, you give individuals a battery of cognitive tests, testing a wide range of cognitive abilities at once. Then a general factor of intelligence can be estimated, in short "g".
Brain size can be measured with modern brain-imaging technology.
3) To address this question, McDaniel (2005) gathered 37 samples with a total of 1530 people who had been intelligence tested and brain-scanned.
He found that, on average, the correlation between brain size and general intelligence was 0.33.
4) In a later and larger meta-analysis of 148 samples and more than 8000 individuals, Pietschnig and colleagues (2015) estimate the correlation to be slightly smaller, but still highly significant, r = 0.24.
5) Quality of tests vary (e.g. Brief tests vs longer and more comprehensive tests).
Gignac & Bates (2017) reanalyzed the studies from the previous meta-analysis and found that the correlations were higher when higher-quality intelligence tests were used.
6) In fact, this is just a statistical phenomenon. When there is a correlation between two variables, then the better measured the two variables are, the higher the correlation will be.
Poor measurements contain lots of noise which weakens the relationship between the variables.
7) Instead of meta-analyses that pool results from many samples, we can also look at individual high-quality studies.
Ritchie and colleagues (2015) look at many brain variables in a sample of N = 672, but total brain volume and "g" correlated r = 0.31.
8) Dubois and colleagues, in a large sample (N = 884), test if resting-state brain activity correlates with intelligence. It does, but they also report other brain correlates. They find that brain volume correlates r = 0.33 with general intelligence.
10) To minimize possible effects of different environments people have lived in, you can look within families. Lee and colleagues find that, of siblings raised in the same family, the sibling with the larger brain tends to be more intelligent.
11) Another source of evidence comes from "genome-wide association studies." Here you take DNA samples from many individuals and see which gene variants tend to be correlated with some chosen variable of interest.
You can then calculate the genetic overlap two traits have.
12) Genome-wide association studies have now been done for many traits, including intelligence and head circumference (a noisy proxy for brain size).
One such study finds a genetic correlation of 0.31 between intelligence and head circumference.
In studies with high-quality measurements, the correlation between brain size and intelligence is roughly r ≈ 0.3.
This is a real, but not a strong relationship. If you want to estimate intelligence, test it directly rather than measuring just brain size.
14) But brain size is just a single variable. Other brain variables also correlate with intelligence. In principle, prediction of intelligence from brain imaging could likely become much stronger if we took multiple brain variables into account at once.
15) Brain size is probably the simplest brain variable to measure, and likely that's why it has been included in many studies. What other brain variables might contribute to differences in intelligence? That's for other research to establish.
Thanks for reading.
@rexjung And yes, it must be frustrating working with expensive research with highly noisy measurements. So I can understand why people would prefer working with structural imaging.
@DumoulinBaptis2 @JamesPsychol For example, take the study in tweet 9). This is likely the most representative. They find estimate of 0.276. If we divide by 0.8 for correction for attentuation (which seems reasonable, perhaps even too generous), we get 0.276/0.8 = 0.345.
So I don't think it's higher than 0.35
@DumoulinBaptis2 @JamesPsychol Find me an individual study (not a meta-analysis) that has a large sample (say, N > 500) and a good intelligence measure that finds correlation above 0.4.
These studies should be plenty if you think the *average* correlation is around 0.4.
@DumoulinBaptis2 @JamesPsychol And this challenge is still open. I'm genuinely interested. Because I've read this literature fairly closely, and from my reading the value is closer to 0.3 than to 0.4.
New genome-wide association study of brain volume. The genetic correlation between brain volume and intelligence they find is 0.24, quite close to other estimates given in the above thread.
So I decided to look at car accident deaths over time in the United States, 1999-2022.
Is there any evidence that the female death rate suddenly drops relative to men's? No, the male and female *trends* are almost identical.
In the 2000s, there is a strong decline traffic accident deaths overall. But this is independent of sex, so clearly this isn't caused by this narrow sex-specific factor.
The homicide rate also fell from 2000 to 2010, so perhaps it's a more general decline in recklessness.
The open problem -- the "moving sofa problem" -- has possibly just been solved!
This mathematical problem basically asks "what is the largest area of a 'sofa' that can be maneuvered through a right-angled corner in a hallway of width 1?"
Short thread 🧵
This problem was originally posed by Leo Moser in 1966.
Quickly after, Hammersley (1968) proposed a very simple construction.
Take a semi-circle. Cut it into two. Then fill the gap in between, but leave a smaller semi-circle of empty space to help maneuver the corner.
This construction works and gives an area of 2.2074.
It is a very simple-minded construction, however. And it turns out, it is not the greatest possible area you can achieve.
New study has released personality profiles of 263 occupations.
Short thread of the occupations that are the most extreme with respect to each of the five personality dimension (I will mention only occupations with a sample of at least 100).
Neuroticism.
High:
- Visual Artists
- Graphic and Multimedia Designers
- Musicians, Singers and Composers
Low:
- Health Services Managers
- Finance Managers
- Information and Communications Technology Services Managers
Extraversion:
High:
- Advertising and Public Relations Managers
- Sales and Marketing Managers
- Human Resource Managers
Many responses to this misunderstand it. A lot of commenters, in their confusion or ignorance, assume that it must necessarily simply be due to abject poverty and lack of access to other food.
In reality, this is an old cultural tradition that persists from West Africa.
Why poverty is not a major cause of violent crime: macroeconomic evidence
While it is well known that poverty tends to be correlated with violent crime, causally informative evidence usually tells a different story. One important source of evidence is the macroeconomic kind.
If economic factors causally affected violent crime, then, when macroeconomic conditions change within a country or region, you should expect violent crime rates to follow. Economic downfalls should lead to increases in violent crime, and vice versa.
One illustrative example is that the homicide rate actually fell in America during the Great Depression–the opposite of what the causal hypothesis would expect.
But it's not just the Great Depression. In the Handbook of Crime Correlates, Lee et al. review the macroeconomic evidence and find that economic downturns have no systematic effect on violent crime.
More recently, Ludwig & Schnepel (2024) also reviewed macro evidence and also concluded that there is no systematic effect on violent crime.
The COVID economic crisis is yet another example. Hoeboer et al. (2024) reviewed the evidence and found that globally there was no increase in violent crime. If anything, it was in the opposite direction.
The United States famously did experience a homicide rate increase starting in 2020. But a careful analysis of the timing of that homicide increase shows that this was the result of a homicide spike immediately following the death of George Floyd. It should not be considered an economic effect.
Overall, there is no clear indication that macroeconomic downturns result in an increase in violent crime. Often the evidence finds the opposite. This is yet another strong line of evidence against the idea that poverty has a major causal impact on violent crime.
There is also evidence from within-individual studies:
The moment when the West changed forever, on its trajectory towards the modern world.
This is at least what I have argued. This chart is based on my analysis of a database of notable people. But, if you think such a database is too biased to consider, fear not, for much other evidence points to this being an important transition period.
Abacus schools were important in Italy, emphasizing practical math for the merchant class. These eventually diffused and became popular in Germany and elsewhere.
Furthermore, universities were being set up in large numbers across Europe.