5-10 minute read
— Genetic Cluster Analysis
- Analysis Background Information
- The Data
This was written with laymen and novices in mind. If you already know what taxonomy and genetic cluster analyses are, feel free to skip to section 4, ‘The Data.’ I’ll try to keep this one light on the word count, but I need to explain some technical stuff, so I make no promises.
This article is a step-by-step run-through of a ‘genetic cluster analysis,’ demonstrating the genetic composition of every race, sub-race, and ethnic group of man.
The two main purposes of this article are:
- To demonstrate that modern genetic data aligns very precisely with historical racial classifications (lit: pre-WW2, pre-race-denialism, pre-anti-“racism”), whether using 3, 5, or 8 racial groups.
- To help novices understand some very basic aspects of genetics, and how they relate to race and Humanity.
Before you can accurately interpret the data in this article, you need to have a basic understanding of two things: Firstly, the aforementioned ‘genetic cluster analyses’ and, secondly, ‘biological taxonomy’ or the concept of taxonomy, in general.
Biological taxonomy, is the process of sorting organisms into different categories, according to how similar or different they are from one another. The ranks (or ‘taxa’) within a taxonomic system nest together like a Russian matryoshka doll. Within the biological taxonomic system, multiple species fit into one genus, multiple genera fit into one family, multiple families fit into one order, and so on.
Although formal taxonomic rankings span from domain to subspecies (sometimes including race and strain), we can infinitely peel back each “layer” of the taxonomic matryoshka doll right down to the level of the individual.
For example, a Dutch individual could potentially be classified as follows:
→ Hominidae [“Hominids” or “Great Apes”]
→ Homo sapiens
→ Homo sapiens sapiens [“The Human Race”]
→ European [“White people”]
→ Northwest European
→ West Germanic
→ North Brabant dwellers
→ Eindhoven dwellers
→ [Dutch family name]
→ [Dutch individual]
Of course, beyond a certain point, these classifications aren’t regarded as “taxonomically official,” but that doesn’t mean that the things these classifications describe are not a biological reality.
The “layer” of the taxonomic matryoshka doll that you choose to look at (order, family, species, race, etc.) depends on the sort of information you want to know. For example, if you wanted to study the genetics of native Eindhoven dwellers vs native Groningen dwellers, it makes no sense to study the entirety of the Primate order, or to study only one single Dutch family from each city.
Genetic Cluster Analysis
A genetic cluster analysis is, essentially, a computerized version of the taxonomic process of sorting ‘things’ into categories. A cluster analysis is created via software that automatically sorts pieces of data into a predefined number of groups (or ‘clusters’), according to how similar or different those pieces of data are from one another. Users define how many clusters the software should divide the data into via the command “K=#”, where “#” is the number of clusters.
Here’s a K=7 cluster analysis.
Each thin line represents one sample (or one individual). The Maya individual below is predominantly descended from the ancestry component labeled ‘America’ (purple), but also has 25% ‘Europe’ (green), 3% ‘E. Asia’ (orange), and 1% ‘C.S. Asia’ (blue) ancestry.
3. Analysis Background Information
The genetic cluster analysis featured in this article is taken from a 2014 study conducted by Lazaridis & Co. of the Reich Lab of Harvard geneticist David Emil Reich [see ‘Sources’ section]. The Reich Lab has done a lot of excellent work on Indo-European origins over the years. Some of it has been slightly “politically-correctified” but it’s incredibly unbiased work, especially compared to the rest of modern “science.”
This particular analysis ranges from K=2 to K=20 — or, in matryoshka doll terms, 2 layers deep to 20 layers deep — providing an excellent overview of the genetic composition of all Human races, sub-races, and ethnic groups. Some ethnic groups have been omitted, presumably due to the fact that they are essentially genetically identical to their neighbors (Dutch to Belgians, for example).
This analysis is an incredibly useful resource that has been floating around for a long time. However, as far as I’m aware, it hasn’t really been utilized all that much by nationalists, probably because the original graphic is complex and difficult to interpret for laymen. To help with interpretations of the analysis, my buddy Sunny has divided it into 19 different images, one per “K=#” setting, in addition to labeling the various clusters. If you’re confused by the names that Sunny used for the clusters, just check which race/sub-race/ethnic groups the clusters fit into. You should be able to work it out from there. As far as I know, nobody has named these genetic clusters in any official capacity anyway. Human taxonomy as a whole is pretty fucked up and useless due to Marxoid & globalist subversion.
4. The Data
I’ll include a brief summary with each cluster analysis image to explain what extra information is being uncovered with each additional “layer” of analysis.
- Each “cluster” (color) represents an ancestral genetic component, not necessarily a race. “Races” are constituted of specific mixes of specific ancestral genetic components. Some races and ethnic groups are constituted of ancestral components that are very similar to one another, while others are constituted of ancestral components that differ greatly.
- Note: Arguing that “races” do not exist because they are a mix of previous races is akin to arguing that pancakes do not exist because they are a mixture of milk, flour, and eggs.
- Each increase in K=# value adds additional detail to the analysis by introducing another cluster that was previously concealed.
- Remember, clusters are automatically grouped by genetic similarity via magic computer wizardry.
- Also, bear in mind that classic racial taxonomy divided Humanity into between 3 and 8 major races, which are then subdivided into multiple sub-races, or ethnic clusters, or whatever you want to label them. Group > Sub-Group > Sub-Sub-Group.
- Click on the images below to see the HD versions or, alternatively, see every image in HD on imgur here.
Original, unedited analysis (K=2 to K=20)
Good for seeing what new information is appearing per each K=# increase, but not very user-friendly.
This demonstrates that the most fundamental genetic divide within Humanity is between Eurasians and (Sub-Saharan) Africans. If we were to divide humanity into only two races, this is how it would work.
If we were to divide humanity into three major racial groups, this is how the genetic split would look.
Note that the areas between the “pure” Sub-Saharans, “pure” Europeans, and “pure” East Asians include “racially mixed” populations. North Africa, the Middle East, and the Hapa-zone of South and Central Asia.
Also note that “pure,” with regards to genetics, is an ideological meme-term largely used by Marxoid Leftists to discredit nationalism since, depending on the level of genetic analysis, literally no organism on the planet is “genetically pure.”
Amerindian (‘Native Americans’) split off from East Asians into their own category. Note their Asiatic appearance. Alt-Hype once called them ‘Siberian Americans.’
At this level, we discover additional genetic diversity among the Sub-Saharan African populations. Sunny labeled this ‘East’ and ‘West’ but it’s basically Central and South. Pre-WW2 and pre-race-denialism, these races were labeled ‘Congoid’ and ‘Capoid.’ Capoids are paler and have a very slight ‘Asiatic’ appearance. [Edit: Sunny informed me that ‘East’ and ‘West’ labels were used because the Capoids were originally from the Eastern Savanna but were driven South by the Bantu and related West African expansions.]
This split appearing here is interesting because we’re often told that Sub-Saharan Africa is the “most diverse place on earth” in terms of Human genetics, yet Eurasian and Amerindian diversity was detected much earlier than this split.
Australoids (Australo-Melanesians or Oceanians) appear as a distinct group, splitting off from East Asians.
Siberians appear as a distinct group, splitting off from East Asians. You may have noticed that Siberia is a relatively ethnically mixed region, even at this level of analysis, with Siberians having ancestry from East Asians (‘Mongoloids’), Caucasoids, Amerindians, and their own unique Siberian ancestors. This is fundamentally because the region is accessible to a wide number of racial and ethnic groups.
South East Asians (‘Asiabid,’ Indians, etc.) appear as a distinct group. Note that the ancestry components that were previously lumped in with Caucasoids (blue) and Australoids (purple) are now almost entirely Southeast Asian (green).
This is the upper limit of the number of ‘classical racial groups’ that were used in the past (pre-WW2). The groups identified here are basically identical to the 8 major racial groups that were identified by the taxonomists of yore.
The Caucasoid component roughly splits into European and Middle-Eastern-North-African. Perhaps “Mediterranean” and “North-Central-and-Eastern European” is more accurate. [Edit: Sunny informed me that ‘Urimid,’ taken from ‘Ur’ of the Sumerians, is in reference to the fact that this ‘Med’ ancestral component originated in and around the fertile crescent.]
Increased diversity in Africa. Hadza, a very small population of hunter-gatherers (under 1500 people), splits into a distinct group.
Onge people become distinct from the South East Asian population. As you can see, they’re quite different from other South East Asians, e.g. Indians:
Amerindians split into North and South populations.
Pygmies split from other Sub-Saharan African populations.
Inuits, Chukchi, etc., split from the wider ‘Siberian’ population. Below: Nganasan vs Inuit. Note that the Inuits, who live in Northern Canada, have a more Amerindian appearance. As do the Chukchi (not pictured), who live on the Northeast Siberian coast, near Alaska.
Central South Asian ancestry (‘Elamid,’ light green) that was previously concealed within Caucasoid populations is now visible. South East Asian (prev. medium green) is now divided into C. S. Asian (light green) and S. E. Asian (‘Dravidian,’ medium-dark green). This split could also be described as Iranian vs Indian.
Note: Elamites inhabited Iran before the Indo-European invasion and admixture formed present-day Iranian population.
Nilotic African population is visible. Nilotic people are renowned for being extremely tall; the worlds’ second tallest ethnic group, behind the Dutch.
Southern Amerindian population splits into Amazid / Andesid, or ‘Amazonians’ (right) and ‘Other Southern Amerindians’ (left).
Ju’Hoansi people split from wider Capoid population.
(Apologies for low image resolution).
An extra ancestry component, ‘Semid’ (Arab), within the Caucasoid race shifts things around. This additional component lessens the amount of Nordid (North European) ancestry, for some reason. I don’t know exactly why this occurs but I guess that some ancestry that was previously closer to Nord became closer to Med once the Arab ancestry component was detected. This also indicates that Arabs are a distinct group from other Mediterraneans (at least at this level of analysis), and demonstrates that the Middle East and North Africa is a very racially mixed area.
Anyway, within the European populations, these ancestry levels look similar to most other three-way admixture breakdowns of Europe that I’m aware of (see second image below).
Blue = Mesolithic (“North European”)
Orange = Neolithic (“South European”)
Green = Bronze Age (Modern North European)
These are Sardinians:
The Kalash of Afghanistan appear as a distinct group. They’re sometimes referred to as “Iranian-Nordid” or “Nordic-Iranian,” and are descended from the ancient Andronovo-type (Proto- and early Indo-Iranian) peoples of the region, who were genetically near-identical to modern Russians. Even today, many Kalash people (but by no means all) could easily be mistaken for Europeans.
I hope you found this educational. I recommend saving a few of these images, since they’re useful resources. 2, 3, 8, and 20 are probably the most useful.
- 2 demonstrates the African/Eurasian split.
- 3 demonstrates the lowest number of historically recognized major races.
- 8 demonstrates the highest number of historically recognized major races.
- 20 demonstrates how ethnic admixtures look at a greater level of detail.
- Download the original study from any of the links below.
Ancient human genomes suggest three ancestral populations for present-day Europeans, Lazaridis et al. (2014)
Note: enter the ‘Saved from’ link into https://sci-hub.tw/ to read the study without having to pay.
- Sunny’s original thread here.
- Every “K=#” image hosted on imgur here.