Gedmatch calculators on Vahaduo

Seems they are very Slavic...


Distance to: German_Brandenburg_outlier(Beeskow)
4.02705848 Polish_Silesia
4.70443408 Ukrainian
4.88253008 Polish_Mazovia
4.92112792 Polish_Subcarpathia
5.68677413 Ukrainian_Galicia
5.68941122 Polish_Lesser_Poland
5.73545988 Ukrainian_Moldova
5.86013652 Polish_South
6.35386497 Polish
6.48074070 Polish_Greater_Poland
6.59850741 Russian_Southwest
7.77675382 Polish_Warmia-Masuria



Distance to: German_East_Prussia_Memelland
4.46127784 Lithuanian
5.08642310 Russian_Pskov
6.13553584 Estonian
6.17088324 Belarusian_Minsk
6.40609866 Russian_Smolensk
6.68522999 Belarusian
7.07285657 Russian_Tver-Yaroslavl
7.89439041 Polish
7.92475867 Polish_Kujavia
8.10971639 Polish_Mazovia
8.24884840 Russian
8.54155138 Latvian

Quote:

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Originally Posted by Dušan

Seems they are very Slavic...


Distance to: German_Brandenburg_outlier(Beeskow)
4.02705848 Polish_Silesia
4.70443408 Ukrainian
4.88253008 Polish_Mazovia
4.92112792 Polish_Subcarpathia
5.68677413 Ukrainian_Galicia
5.68941122 Polish_Lesser_Poland
5.73545988 Ukrainian_Moldova
5.86013652 Polish_South
6.35386497 Polish
6.48074070 Polish_Greater_Poland
6.59850741 Russian_Southwest
7.77675382 Polish_Warmia-Masuria



Distance to: German_East_Prussia_Memelland
4.46127784 Lithuanian
5.08642310 Russian_Pskov
6.13553584 Estonian
6.17088324 Belarusian_Minsk
6.40609866 Russian_Smolensk
6.68522999 Belarusian
7.07285657 Russian_Tver-Yaroslavl
7.89439041 Polish
7.92475867 Polish_Kujavia
8.10971639 Polish_Mazovia
8.24884840 Russian
8.54155138 Latvian

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Yes, first one is very Slavic, other is heavily Baltic, but both are ethnic Germans.

Quote:

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Originally Posted by vbnetkhio

are you asking because of their k13 results? Komintasavalta could run them offline, that's much quicker than uploading all 700 of them to gedmatch.

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Yes. I'm interested in modelling my own results using those samples.

I was looking at the K13 Updated main sheet and was thinking that there are several averages that can be easily connected together, since they have distance of under 1.5, often even under 1 to each other and are neighboring regions that could be combined. There is practically no true difference between them genetically. These would be my suggestions:

1. Bulgarian Northcentral+Southcentral
2. Dutch North+Central
3. English Midlands+Southeast
4. Greek Central+Athens
5. Irish Connacht+Munster
6. Italian Abruzzo+Molise
7. Italian Liguria+Emilia
8. Italian Lazio+Umbria+Marche
9. Romanian Transylvania+Banat
10. Romanian Wallachia+Dobruja (and delete Muntenia and Oltenia which form Wallachia)
11. Serbian Central+Vojvodina
12. Delete all Scottish regions except Gàidhealtachd, because they are all practically similar to one another

Quote:

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Originally Posted by Dunai

I was looking at the K13 Updated main sheet and was thinking that there are several averages that can be easily connected together, since they have distance of under 1.5, often even under 1 to each other and are neighboring regions that could be combined. There is practically no true difference between them genetically. These would be my suggestions:

1. Bulgarian Northcentral+Southcentral
2. Dutch North+Central
3. English Midlands+Southeast
4. Greek Central+Athens
5. Irish Connacht+Munster
6. Italian Abruzzo+Molise
7. Italian Liguria+Emilia
8. Italian Lazio+Umbria+Marche
9. Romanian Transylvania+Banat
10. Romanian Wallachia+Dobruja (and delete Muntenia and Oltenia which form Wallachia)
11. Serbian Central+Vojvodina
12. Delete all Scottish regions except Gàidhealtachd, because they are all practically similar to one another

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I don't agree with this. This are legit historical or political regions. No reason to remove them just because they are similar.

Quote:

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Originally Posted by Dunai

I was looking at the K13 Updated main sheet and was thinking that there are several averages that can be easily connected together, since they have distance of under 1.5, often even under 1 to each other and are neighboring regions that could be combined. There is practically no true difference between them genetically. These would be my suggestions:

1. Bulgarian Northcentral+Southcentral
2. Dutch North+Central
3. English Midlands+Southeast
4. Greek Central+Athens
5. Irish Connacht+Munster
6. Italian Abruzzo+Molise
7. Italian Liguria+Emilia
8. Italian Lazio+Umbria+Marche
9. Romanian Transylvania+Banat
10. Romanian Wallachia+Dobruja (and delete Muntenia and Oltenia which form Wallachia)
11. Serbian Central+Vojvodina
12. Delete all Scottish regions except Gàidhealtachd, because they are all practically similar to one another

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Merging some of these wouldn't make sense geographically.
It's important to discuss first what is the purpose of the updated sheet.

Maybe there should be one sheet for individuals to model their results, with one average per ethnicity, and multiple averages only for countries with multiple genetic clusters, like Italy and Germany.
And another sheet with detailed regions, for those who are interested in comparing regions to each other, and not their own results.

Most averages are useless for the modelling of individuals, even those with distances above 1.
for example somebody who is half Irish, half Serbian, his closest 2way match could very likely be something like Norwegian + Bosniak, just because of a random variation in some components, and actual Irish+Serbian might be his 5th closest model.

With more regional averages, his closest might be South_Norwegian+ Central_Bosniak, and Irish+Serbian might be burried in the 20th place.

Quote:

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Originally Posted by Stearsolina

I don't agree with this. This are legit historical or political regions. No reason to remove them just because they are similar.

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Genetically they are basically the same though, plus they are neighboring regions from the same ethnic group. Of course in a separate sheet it's good to have all small regions, but in the main sheet it looks better to have broader categories. It's my suggestion.

Quote:

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Originally Posted by Dunai

I was looking at the K13 Updated main sheet and was thinking that there are several averages that can be easily connected together, since they have distance of under 1.5, often even under 1 to each other and are neighboring regions that could be combined. There is practically no true difference between them genetically. These would be my suggestions:

1. Bulgarian Northcentral+Southcentral
2. Dutch North+Central
3. English Midlands+Southeast
4. Greek Central+Athens
5. Irish Connacht+Munster
6. Italian Abruzzo+Molise
7. Italian Liguria+Emilia
8. Italian Lazio+Umbria+Marche
9. Romanian Transylvania+Banat
10. Romanian Wallachia+Dobruja (and delete Muntenia and Oltenia which form Wallachia)
11. Serbian Central+Vojvodina
12. Delete all Scottish regions except Gàidhealtachd, because they are all practically similar to one another

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Abruzzo and Molise could also be combined, they were one region until 1963, but the others were not. Liguria and Emilia have two different histories, two different dialects, two peoples who identify differently and the same is true to a lesser extent for Lazio, Umbria and Marche.

Quote:

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Originally Posted by Ajeje Brazorf

Abruzzo and Molise could also be combined, they were one region until 1963, but the others were not. Liguria and Emilia have two different histories, two different dialects, two peoples who identify differently and the same is true to a lesser extent for Lazio, Umbria and Marche.

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Sure, if there are historical differences, like different dialects then keep the division, but when neighboring regions speak the same language and are mostly the same genetically it doesn't make much sense to have them separated, it's just nitpicking for nitpicking's sake. Plus, their regional name would still appear in the name of the average, they wouldn't be erased.

Quote:

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Originally Posted by Dunai

Genetically they are basically the same though, plus they are neighboring regions from the same ethnic group. Of course in a separate sheet it's good to have all small regions, but in the main sheet it looks better to have broader categories. It's my suggestion.

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You were nowhere to be found when I said the same about certain other averages. I wonder why.