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PaperclipPerfector  2d ago (text post)   9194 thread views

Culture War Roundup for the week of June 1, 2026

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It’s factual. From Grok Key Metrics: F_ST (Fixation Index) F_ST measures genetic differentiation between populations (0 = identical, 1 = completely different; values are usually small in humans). • Within India: F_ST between major South Asian groups ranges from 0.02 to 0.15. Overall pooled F_ST 0.072 (95% CI 0.061–0.084). Tribal vs. caste/non-tribal groups can reach 0.15. North Indian Indo-European speakers show high heterozygosity; isolated tribes show lower diversity and higher homozygosity due to endogamy.  • Between Han Chinese and Europeans/Caucasians: Typically 0.10–0.12. This is a standard continental-scale differentiation value. Some Indian subgroups are as genetically distant from each other as Europeans are from East Asians. This stems from: • Ancient Ancestral North Indian (ANI) component (related to West Eurasians, Middle Easterners, Central Asians). • Ancient Ancestral South Indian (ASI) component (distinct, with deep South Asian roots). • Later admixtures (e.g., Iranian-related farmers, Steppe pastoralists). • Long-term endogamy (caste/tribe-specific marriages for 2,000+ years), founder effects, and geographic isolation, which amplify differences.  India’s 5,000 ethno-linguistic groups, plus waves of migration since 50,000 years ago (mostly from one major Out-of-Africa pulse, with later inputs), create a mosaic. Indians harbor significant unsurveyed variation and higher Neanderthal ancestry diversity than many groups.  East Asia/China Contrast Han Chinese (the majority “Chinamen” reference) show low internal diversity. F_ST within Han subgroups is tiny (0.0002–0.001 or so between North/South Han). China overall is far more homogeneous than India or Europe due to historical expansions and less deep structure.  Europe has moderate internal structure (e.g., North-South or Finland vs. Southern Italy F_ST ~0.01–0.023), but still less than India’s extremes.

Not sure why it copy and pasted like that.

Did you copy-paste Grok output? This might be correct or approximately correct. But I have low confidence in raw LLM output. I use these things at work and they say weird stuff and I demand a citation and they cannot find one. I'm pretty skeptical of these things.

Aren’t they usually fine for summarizing research? Ya sure I did the Reddit thing of just googling and pasting first link as source. But I do think the AIs give a generally ok overview.

They are okay for summarizing research. But if you think it may be wrong, it can't back its facts up. Or you tell it you think it is wrong so it pivots with equal confidence to a new set of claims more in line with your demands.

Your post well could be correct. But with low confidence.

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