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7 comments:
deleted 1 year ago 8 points (+0 / -0 / +8Score on mirror )
Erase99 on scored.co
1 year ago 6 points (+0 / -0 / +6Score on mirror )
This should be stickied. Lewontin's fallacy is the "scientific" centerpiece behind all of modern leftism. If it falls, they have only hatred of our race to fall back on. Every White advocate should memorize this chart.
kafrasufra on scored.co
1 year ago 1 point (+0 / -0 / +1Score on mirror )
Finally something that actually matters from the purpose of meaning of life, and not some random stories.
PurestEvil on scored.co
1 year ago 1 point (+0 / -0 / +1Score on mirror )
One is a cat, the other is a dog.

Isn't that different enough?
OrganicMolecules on scored.co
1 year ago 1 point (+0 / -0 / +1Score on mirror )
If genetic differences between groups did not exist, they would not look different… or they would not be able to be classified (a la 23&Me, Ancestry).

I genuinely hate Lewontin, as a kike he had a vested interest in showing everyone was the same.
BlackPillBot on scored.co
1 year ago 1 point (+0 / -0 / +1Score on mirror )
Isn’t this common sense though?
the-new-style on scored.co
1 year ago 1 point (+0 / -0 / +1Score on mirror )
Additionally, there are multiple variables one can choose, not just two.

*Common Genetic Markers*

_Single Nucleotide Polymorphisms (SNPs)_

These are the most commonly used genetic markers for population studies, with millions of potential sites across the human genome. Other Genetic Markers

* Microsatellites
* Copy number variations
* Insertion/deletion polymorphisms

_Analysis Scope_

When examining geographically distinct populations like Europeans, Africans, and East Asians, scientists typically analyze thousands of different genetic loci simultaneously. This multi-locus approach provides a much more accurate representation of genetic relationships than single-locus studies. The key insight is that while individual loci may show significant overlap between populations, analyzing multiple loci together reveals clear population structure and clustering patterns.


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