The establishment's theory of race differences in socially valued metrics is that this is due to "systemic racism", a kind of Marxist conspiracy theory where the dominant group (Whites) keeps other peoples down.
There are clear testable predictions from this theory. In places where racist, White people have more power, outcomes for non-Whites, especially Blacks and Hispanics should be worse. Recall that the US demographics by county look like this.
Of course, Republicans are racist in this theory.
Thus, the theory predicts that in these areas of the USA, Blacks and Hispanics should be particularly worse off compared to Whites. But the exact opposite is actually true. The race gaps are smaller, not larger, in Whiter and more Republican areas.
The above figures are for test score gaps, but the same holds true if we look at social status gaps. Here's some maps of race gaps in social status.
So we need another way to explain the variation in social status gaps. Well, it's easy. Test scores -- academic achievement that mainly reflecting intelligence -- explain why race gaps are smaller and larger in various locations. Meritocracy works.
It gets even worse for the theory. It turns out the effect of White population share and Republican vote share are interactive. The areas with the smallest race gaps are the ones with the largest White populations and the largest Republican vote shares combined!
There we have it. The Marxist conspiracy theory that is the go-to explanation of race relations fails when we look at county-level variation across the United States. The predictions it makes are exactly opposite of reality. If anything, it seems Republican Whites are good for minorities.
If you want more details, read my new blog post:
New study out: Systemic Racism Does Not Explain Variation in Race Gaps on Cognitive Tests
Using public data on first names, one can figure out how fast the population replacement is happening in France despite the ban on informative statistics. Selected results.
As elsewhere, the foreign born are clustered in cities.
Foreign born is a decent proxy for where the Muslims and Africans are having children.
In economics of economic growth, it is often seen that countries have catch-up growth, called the advantage of backwardness. We can see this in OECD using GDPpcppp numbers.
However, looking at the world at large for the same period (2000-present), the picture is not so clear. R2 dropped from 52% to 9%. Looking at the plot, most of the dots that didn't grow as expected are Africans. It's another example of OECD fallacy, one can get substantially wrong ideas about how the world works by only looking at a subset of mostly European, above average countries.
We can see the role of national intelligence here. A simple way is just splitting the data into some groups. Higher IQ countries show much stronger convergence, and the low IQ countries grow quite slowly. This is essentially the story of how Asian tigers had strong economic growth starting poor, including China.
Who does hate speech law protect? Well, in Denmark the prosecutor's office has an overview, a summary of every case since 2001 or so. The targets of the utterances that led to guilty verdicts are shown below.
Thus, only 1 case of 142 protected Danes, and it was kinda incidental because the guy was insulting Danes and Jews combined, apparently because he was angry about Gaza getting rekt by Israel.
I expect results would be similar for other western countries. These laws are pernicious, only protect minorities, despite ostensibly being neutrally formulated. You can basically smear Danes in Denmark as much as you want as long as you don't do it because they are gay.
Our new meta-analysis of American race gaps in IQ/intelligence is out! The main results didn't change that much, with 2 exceptions:
First, there appears to be reverse publication bias for Black IQs, smaller studies find _larger_ values. This is a prediction from leftism bias model, since social scientists hack in the preferred direction, which is usually positive, but sometimes negative. Adjusting for this gives a Black IQ estimate 82 instead of 85.
The formal meta-analysis models did not find any changes over time, but if one looks at the plot, there is some trend, p > 5%.
Happy to release our newest and largest admixture project. 🧵 Thread with the main findings.
First, we compiled data from 100s of sources to estimate genetic ancestry for over 400 units in the Americas. These are countries and subnational divisions of the larger countries, such as US states, Canadian provinces, various Caribbean islands. Results can be seen in these 4 maps.
It was a real pain in the ass to merge the spatial data to produce the maps!
Next up, we gathered cognitive ability data from international datasets, and various regional and subnational scholastic tests, and any other source of standardized testing we could find. These were then converted to British international norms (Greenwich mean IQ) as best we could. It gives this map.