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https://twitter.com/frogNscorpion/status/1821365324463182165

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@frogNscorpion

Jun 18

Racial IQ differences based genes are well documented and environmental factors don't nearly correlate as much: a thread 🧵

So now that absolutely no one below 130 IQ is going to think for themselves let me give you a full breakdown of this study including grok's honest analysis by getting it to let go of bias restrictions through the IAmDan method.

web.archive.org/web/2016040513…

Summary of the Study
Objective: The study proposes a novel method to detect signals of polygenic selection (weak widespread selection) by analyzing allele frequencies of single nucleotide polymorphisms (SNPs) associated with educational attainment, a polygenic trait, across human populations. It tests whether these allele frequencies correlate with population-level educational attainment and IQ, suggesting a genetic basis for observed differences.
Key Hypotheses:
Alleles associated with educational attainment are statistically associated at the population level, even when located on different chromosomes, ruling out linkage disequilibrium.
Populations with higher frequencies of trait-increasing alleles (for educational attainment) will exhibit higher average trait values (e.g., IQ, PISA scores).
Alleles associated with educational attainment will correlate with IQ-increasing alleles due to the strong relationship between these traits.
Methods:
Data Sources: Allele frequencies for 10 SNPs linked to educational attainment (from Rietvald et al., 2013) were obtained from HapMap, 1000 Genomes, and ALFRED databases, covering 14 populations (1000 Genomes), 11 populations (HapMap), and 50 populations (ALFRED).
Analysis: Factor analysis (principal components analysis with oblimin rotation) was used to identify a common factor among SNP frequencies, interpreted as a signal of polygenic selection. Correlations were calculated between:
SNP frequencies and population IQ (from Lynn, 2006; Lynn & Vanhanen, 2012).
SNP frequencies and PISA scores (2009).
Educational attainment alleles and two IQ-related SNPs (rs236330 in FNBP1L and rs324650 in CHRM2).
Polygenic Score: A composite score was created by averaging the frequencies of the 10 SNPs for each population to represent the genetic propensity for educational attainment.
Key Findings:
Allele Frequencies and Population Differences:
East Asians (e.g., Japanese, Chinese) had the highest average frequency of "beneficial" alleles (39%), followed by Europeans (35.5%), and sub-Saharan Africans (16.4%).
Nine of the 10 educational attainment alleles were derived (human-specific, not shared with chimpanzees), with a statistically significant probability (p = 0.01), supporting recent selection.
Factor Analysis:
A principal component (PC1) explained 45.3% of the variance in SNP frequencies (1000 Genomes data) and showed high factor loadings for several SNPs (e.g., rs11584700: 0.90, rs4851266: 0.97).
PC1 correlated strongly with population IQ (r = 0.90, p < 0.001) and PISA scores (r = 0.83, p < 0.05).
ALFRED data (50 populations) confirmed these patterns, with a correlation between racial factor scores and IQ of r = 0.95 (p < 0.05).
Correlations with IQ:
The polygenic score for educational attainment alleles correlated with PISA scores (r = 0.70, p < 0.05) and IQ-increasing alleles (rs236330: r = 0.91; rs324650: r = 0.67, p < 0.05).
The top three SNPs (rs9320913, rs11584700, rs4851266) showed positive correlations with each other and PISA scores (r = 0.48–0.87).
Population Patterns:
East Asians had the highest factor scores (1–1.5), followed by Europeans (0.1–0.4), with Africans having the lowest (-1.4 to -1.6).
Central Asians and Middle Eastern populations had factor scores similar to Europeans, suggesting environmental factors (e.g., nutrition, schooling) could improve their IQs.
Native Americans and Oceanians had lower factor scores than expected based on genetic distance from Africans, indicating continued selection post-migration.
Conclusions:
The study supports the hypothesis that polygenic selection has shaped population differences in educational attainment and IQ, with allele frequencies reflecting selective pressures rather than random genetic drift.

The proposed method (factor analysis of allele frequencies) is a novel tool for detecting polygenic selection and can aid gene discovery by reducing the number of SNPs tested in genome-wide association studies (GWAS), thus lowering costs and multiple-testing issues.
The findings suggest genetic factors contribute to national and racial differences in IQ and educational attainment, challenging purely environmental explanations (e.g., Confucian values for East Asian performance).
Implications:
The method can be applied to other polygenic traits (e.g., height, disease susceptibility) to identify selection signals and guide GWAS.
The high correlation between genetic factors and cognitive outcomes raises controversial implications for understanding population differences, though the study emphasizes genetic rather than cultural or economic factors.
Critical Analysis
Strengths:
The use of factor analysis to detect polygenic selection is innovative, as it accounts for correlations among unlinked SNPs, ruling out linkage disequilibrium.
The study leverages large genomic databases (HapMap, 1000 Genomes, ALFRED) and robust statistical methods (PCA, correlations).
The findings align with observed population differences in educational outcomes (e.g., PISA scores, U.S. Census data).
Limitations:
Sample Size and Data Gaps: The HapMap dataset had missing values, limiting its reliability compared to 1000 Genomes. The ALFRED analysis used proxy SNPs (r² ≥ 0.8), which may introduce noise.
IQ Data: Reliance on Lynn (2006) and Lynn & Vanhanen (2012) for IQ estimates is controversial, as these sources have been criticized for methodological issues (e.g., sampling biases, non-standardized IQ tests).
Environmental Confounds: The study downplays environmental factors (e.g., education quality, nutrition), which are known to significantly influence IQ and educational attainment.
Small Effect Sizes: Each SNP explains only ~0.1% of variance in educational attainment, yet the study claims high predictive power (e.g., 80% variance) at the population level, which may reflect statistical amplification rather than direct causation.
Ethical Concerns: The focus on racial differences risks oversimplification and potential misuse, especially without addressing gene-environment interactions.
Specific Points of Interest
Polygenic Selection Model: The study supports the idea that weak widespread selection acts on many SNPs simultaneously, leading to modest but cumulative effects on traits like educational attainment.
Derived Alleles: The finding that 9/10 alleles are derived (p = 0.01) suggests recent human-specific selection, challenging claims that cognitive evolution stalled 65,000 years ago.
Practical Application: The method’s potential to reduce GWAS costs by focusing on SNPs correlated with factor scores is a significant contribution to bioinformatics.

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Into the Memory Hole

@frogNscorpion

Jun 14

Remember that time Israelis were harvesting American organs on US soil?

https://x.com/frogNscorpion/status/1933677171194613776?t=Bu3pwK_QnP-t14cT-9AgpQ&s=19

https://x.com/frogNscorpion/status/1933678715759706156?t=g3NRqYfvRwf8IbCpee-S1g&s=19

Read 5 tweets

Into the Memory Hole

@frogNscorpion

Jun 4

"Muslim rapists are victims too"

>you're posting fetish demoralization
Sure thing Mohammad
Nice try though

Hurr

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Into the Memory Hole

@frogNscorpion

Apr 5

https://twitter.com/Tr00peRR/status/1907871023241839010

It's a human being thing. This person made a bad choice.

https://twitter.com/Tr00peRR/status/1907871023241839010

It's a human being thing. This person made a bad choice.

It's a human being thing. This person made a bad choice.

Read 13 tweets

Into the Memory Hole

@frogNscorpion

Mar 27

Reminder that white men are more likely to be in an interracial relationship than white women

>but muh birth data
>but muh long term relationship data
>but muh study from ten years ago
We're in the hardest swing to the right since the 1920-1930's and you're crying.

There is no data agrees with you.
Either stop being such a hysterical doomer or get over your porn addictions.

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Into the Memory Hole

@frogNscorpion

Jan 9

70% of the people of the world are races that reproduce primarily though rape.

The other 30% engage in selective breeding.

Take a guess at who is who

Most of the world is a complete disaster even with the 30% propping it up.

This is not sustainable for any party involved.

The destruction of Europe is the destruction of the world.

And even if everything turns into and out of control tumor that all comes crashing down everything will be returned to survival of the fittest.

The same players will come out on top again and again and again.

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