How much do Big Tech companies discriminate against white people?
It depends how many white people they hire and whether open borders is discrimination
Big Tech companies are famously woke and diverse, meaning our prior that they discriminate against white people in hiring to some degree should be high. More than 70% of their workers are on H1B visas, and this depresses the wages of white software engineers by as much as $90,000 per year. From reasonable starting assumptions, this can already be construed as anti-white discrimination. But from open-borders assumptions, who is to say they just aren’t hiring the best talent from around the world? This is what we will address in this article, using data on American and world demographics and population IQ.
How white is Big Tech?
In this article we will mostly focus on FAANG companies. This is what we mean by “Big Tech.” These are the top companies, with top pay, who claim to hire the world’s top talent for software engineering.
Obviously, some FAANG companies may be whiter than others. Most do not have demographic information available. However, I have worked at one FAANG company, and at that company I could see a directory of all employees.
The racial makeup of that company was as follows:
42% East Asian
2% other races
Note that the top positions were whiter, and these workers were older. I’m talking about vice presidents and so on. The racial makeup of non-management software developers was as follows:
44% East Asian
3% other races
It would seem FAANG has gotten more racist over time, which is not surprising. Software developers in the 90s were extremely privileged, making millions off of trivial websites, free of wage depression from Asian mass immigration.
Data which appears to be from Meta backs this up:
Look how the white% has dropped. Also note that in this data, it is unclear if white includes Indians, who are Caucasoids technically speaking. So the real “white” percent is likely less than 7% here, down from over 27% in 2014 before the Great Awokening.
Above are Google’s numbers, which tell a similar story.
How smart are Asians and Indians?
To see if Asians and Indians should be the overwhelming majority of FAANG software engineers, we need to estimate their IQ distributions.
It is currently popular to believe in Smart Asian Theory, the idea that Asians are significantly higher IQ than whites. This is a strange idea, since India and China are shit-holes with very little intellectual track record. This would be like if Ghana were allegedly 104 IQ. Something is wrong here.
Whereas Smart Jew Theory is backed up by Jewish invention (and, in particular, it is European Ashkenazi Jews which are responsible for this), Chinese and Indians hardly invent anything ever.
One way of dealing with the Asian IQ paradox is assigning Asians reduced variance. This lowers their concentration of high smart individuals relative to whites, helping to explain why Asians might have a slightly higher mean but significantly less population-level achievement.
We can see evidence of this above. See how at the 50th percentile of SES, Asian IQ is higher than whites, but it converges on whites at the tail. This is lower variance at work.
However, lower Chinese variance does not seem to be a consistent finding.
It is possible that Chinese immigrants to the US have higher means and lower standard deviations than Chinese overall. Some hypothesize that the lack of Chinese invention is due to conformist personality traits, as opposed to IQ.
Asian Americans, which are Chinese, Indian, and other, had SAT scores 0.48 SDs higher than white Americans. If we take the new SAT to be correlated with general intelligence at about 0.7, we get that Asian Americans are 105 IQ, as opposed to 102 IQ in China. We find no evidence of smaller variance.
Finally, Chinese gene scores predict population IQs of 102 to 105 depending on their location.
We will therefore take the overall Chinese mean IQ to be 102, and the Asian-American mean IQ will be 105. We will assume that the variance is the same as whites for both populations.
The national Indian IQ is quite lower. Above, you can see Pakistani GWAS results put them at a genetic IQ of 87 or so. This is similar to the observed scores of Indians. So we will take an average Indian IQ of 87, with a standard deviation of 15. This makes massive H1B immigration from India a very strange puzzle.
How many Chinese, Indians, and Whites?
We will perform two analyses, one at the global scale and one at the scale of the US.
Globally, the population is about 17% Indian, 17% Chinese, and 16% white. We have mean IQs of 87, 102, and 100 respectively. Thus, when sampling for tech workers from the global population of Indians, Chinese, and whites, we would expect to mostly see Chinese and Whites, and some Indians.
In the US, “Asian-American”, which includes Indians and Chinese, are about 6% of the population. We give them an average IQ of 105. Meanwhile, whites are 59% of the population, with an average IQ of 100.
How anti-white is FAANG?
If FAANG only sampled Americans, and sampled from people over 2 SD IQ, it should be 69% white gentile and 7% Jewish, meaning 78% “white” overall. It would only be 15.6% Asian. Consequently, the demographics of FAANG can definitely be said to be un-American.
Globally, FAANG would be about 38% White, 57% Chinese, and 3.8% Indian.
This means Indians are definitely overrepresented in FAANG, likely at the expense of whites. Official numbers are unclear on what “white” is. Unless teams are statistically segregated by race, I cannot believe that more than 20% of FAANG is actually white. They seem to be inflating their “white” numbers in their statistics somehow, likely by lumping in their Indians. However, if this is not the case, then perhaps whites are represented as expected if the hiring process were global.
We can conclude that FAANG is definitely un-American, basically abusing American hospitality while hiring Americans no more frequently than open borders economics would predict. This should be shut down by drastically reducing their work visa allowance, or else the leadership of these companies should be forced to relocate to Delhi or Beijing, places I doubt they want to live even though they are so keen on importing the people from there in vast quantities to work for cheap.
Whether or not they discriminate against whites given open borders depends how white their workforce actually is. Official numbers seem to indicate race blindness given open borders, but it is unclear what “white” actually means in their data.
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