*italics*are composed entirely from Dodecad Project members.

**Please read the post in Dienekes' Anthropology Blog to see what this type of analysis means.**

47 MDS dimensions were retained, and the optimal number of clusters was 35. Retaining less or more dimensions may alter this number, as after a certain point extra dimensions only contribute noise to the analysis; this is a matter of investigation.

It is hardly practical to comment on all 35 clusters, so I will limit myself to a few observations:

- Turks, Armenians, and Assyrians fall in cluster #1
- Scandinavians, White Utahns, Germans, and some French fall in cluster #2
- Portuguese, French, North Italians, Tuscans, Spaniards, and Romanians fall in cluster #3
- Greeks, South Italians/Sicilians, Cypriots, and Sephardic Jews from Bulgaria and Turkey fall in cluster #4 (but see note)
- Finns fall in cluster #5
- Almost all Ashkenazi Jews fall in #6
- All Dodecad Project Russians, plus reference Lithuanians and Belorussians fall in #9

8 Greeks fall in cluster #4 and 2 in cluster #3. However, many of the ones who fall in #4 also have some non-trivial probability of falling in #3. Probabilities for all other clusters are less than 0.1%. All Project Greeks can write to me to learn their exact probabilities.

Of course, it should be noted that:

**If two populations can be perfectly distinguished from each other**, then there are genetic differences between them (they split from each other some time ago, they underwent different types of admixture, etc.) allowing the clustering algorithm to detect their differentiation**If two populations cannot be distinguished from each other**, this does not mean that they are not indistinguishable in principle; it does mean, however that through either common ancestry or very similar patterns of admixture, they have become quite similar to each other in the Eurasian context.

**If you are a Dodecad Project member (23andMe data) from one of the populations in**

**italics****and are wondering which cluster you fall in, first check whether all individuals from your population fall in the same cluster, in which case you already know the answer.**

Otherwise, you may write to me, with your DOD number, and I'll tell you.

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