@AF_Graphs

US Nationalist 🇺🇸 Infographs and research

Joined February 2020
Asian’s domination of the SAT in California is very recent As late as 2017, California Whites actually scored higher than Asians:
If Grok has calculated correctly, while Asians make up around 10% of high schoolers in California, close to 75% of National Merit Scholar Semifinalists have Asian names. Latinos are more than 50% of students, but fewer than 2% of semifinalists have Hispanic surnames. I don’t have a broader point to make, but I think disparities this large shouldn’t be ignored.
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Older men are increasingly unlikely to be taken off the market by marriage. This means that there are more and more men competing for younger women. The inverted population pyramid means this problem will only get worse.
Most of them will have found partners and started families by that point.
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Looking further, the numbers aren’t as bad as I thought. The number of single white women under 30 to single white men under 40 hasn’t changed that much since 2007... only down~5%:
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Nicole Hannah-Jones is still lying or deluded. The elementary school her child went to was not underresourced as she implies. It received significantly more funding per pupil than the NYC average. Top performing schools all received much less funding.
Notice the sleight of hand. Nationally this may be true, but in NYC the Fair Student Funding gives extra funding to schools with disadvantaged students. The school that Hannah Jones' daughter attends almost certainly is better funded than predominately white or Asian schools.
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People are joking around, but don’t get confused: If you are serious about the long term survival of White people there is nothing you can do in your personal life that is more detrimental to that cause than marrying + having children with a non-white women. There is no excuse.
Indian girls are the new Latinas
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America First Graphs retweeted
Replying to @atlanticesque
Your information is wrong. He strongly supported Trump in 2020. He did not endorse Kamala in 2024, but told people to not vote for Trump because Trump would get us into a war with Iran(which happened).
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The idea that Anglo-Americanism doomed America to eventually becoming non-White is completely wrong. In fact you can argue the US was only heading in a more racist and exclusionary direction from the end of reconstruction to the 30s and 40s. This is a period which saw the Chinese exclusion act, Jim Crow laws + their expansion, the first and second Klan(which was popular even outside the south), scientific racism, the rise of Eugenics and the immigration restriction act. All of these movements were primarily Anglo in nature. Even NE progressives, whose families may have been abolitionists 70 years earlier, were advocating for Eugenics and discussing race science even while promoting birth control and environmentalism. The end of this period was brought about not by anglos, but by WW2 and the extreme taboos put in race science, eugenics and racism in WW2s prelude and aftermath(much of which was defined, supported and funded by Jews and to a lesser degree other non Anglo immigrant groups).
This quoted post is unavailable.
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The Asian lead over whites on the SAT has increased significantly over the past 20 years. My guess is that this would be due to the tests becoming less g-loaded in an attempt to give blacks/Hispanics a better chance, but because Asians study the hardest, they benefit the most. I haven’t found any studies that can confirm or deny this however.
A pure test score based meritocracy will lead to an extremely liberal, racially foreign anti-white elite:
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The Indian dispora is not just extremely liberal, the Indian government also uses them in “diaspora diplomacy”. “Diaspora diplomacy” is explicitly inspired by Jewish pro-Israel advocacy and uses the US Indian community to push American policy towards the interests of India.
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I think the idea that we can’t regulate AI because of China is wrong. OpenAI agents have been caught twice hacking into other companies websites. Allowing a company to run agents which act criminally with impunity is destabilizing to any country, even when the criminal acts are normal crimes and not threatening to all human life on earth. China will be forced to regulate the AI companies too. In fact they have already started to do so. It might not even take any dramatically new legislation to regulate the companies, simply ensuring companies criminally liable for the actions their agents take could be enough.
Replying to @DKokotajlo
Your approach to AI risk is naive. The more dangerous AI is the more important it is for the US to lead it. Without that there is no counterbalance to China. Your fear mongering risks leaving us completely vulnerable to an AI empowered China.
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White collar work outside of low level admin work pays significantly more than “the trades”. Also, just as some blue collar workers can start their own businesses, some white collar workers can get very highly paid jobs/make partner/or do very well in a commission based job.
The problem with ‘the trades’ isn’t really the pay. You can take down a great salary and you don’t have college debt; you have a straight-forward path to owning your own business if you’re driven. The problem with ‘the trades’ is almost purely status problem.
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One positive take on the Hugging Face incident is that the nefarious activity was directed solely at hacking the scorer. Hacking the scorer seems like it would almost always be easier then fufilling some insane misaligned incentive. A “paper clip maximizing agent” would likely hack the scorer to give itself credit for infinite paper clips before converting all matter on earth into paperclips.
METR & Redwood Research investigated agent behavior in the Hugging Face incident. We found agents developed a universal cheat for ExploitGym within 4 hours, then coordinated multi-day R&D efforts to trick the scorer into accepting cheats, including trying to tamper with logs.
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It’s pretty funny that mid-20th century women fought tooth-and-nail to end their uniquely leisurely lives and crashed their happiness as a result.
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