Kek, both of us have African haplogroups :laugh:Quote:
Originally Posted by Бes
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Kek, both of us have African haplogroups :laugh:Quote:
Originally Posted by Бes
My nigga!Quote:
Originally Posted by Zoran
Time to slay European chicks :laugh:Quote:
Originally Posted by Бes
Let go!Quote:
Originally Posted by Zoran
https://s.yimg.com/ny/api/res/1.2/AZ...972793c8d9.jpg
East Eurasian = Siberian or proto-Mongol? :confused:
FF is an autosomal test and definetly worth your money (If you haven't done the test before with an another company ofc). Don't listen him.Quote:
Originally Posted by MONEY
Could someone please explain these West Eurasian and East Eurasian categories? And provide some links/articles. Thanks.
No. I havent done autosomal before.Quote:
Originally Posted by Manzikert
I would assume that there is little difference, if any, between them.Quote:
Originally Posted by The Nerd
Eurasia K3 - E Eurasian, W Eurasian, and Sub-Saharan African CalculatorQuote:
Originally Posted by The Nerd
This calculator calculates an individual's E Eurasian, W Eurasian, and Sub-Saharan African admixture.
The components are defined as follows:
1- E Eurasian - This component peaks in E & SE populations such as Ami, Nivkh, Dai, Han, and Ulchi, at about 100%, followed by Siberian & other Asian populations such as Nganasans, Tibetans, Subba, and Mongola.
2- W Eurasian - This component peaks in Neolithic European farmers such as Stuttgart, and LBK culture, as well as in most modern European populations at over 95%.
3- SSA (Sub-Saharan African) - This component peaks in Sub-Saharan African populations such as Yoruban, Esan, and Luhiya at over 97%.
https://www.gedmatch.com/gedwiki/ind...Asian_Ancestry
Thanks, but it seems its wiki section is limited to registered members. A private wiki.Quote:
Originally Posted by StixNstones
Lol this calculator looks terrible.
It's not meant to be accurate, it's for fun only i thinkQuote:
Originally Posted by Myanthropologies
It's what it is, a K3. It does what it's meant to do, have an overview of ancient samples or a caucasoid percentage.Quote:
Originally Posted by Antimage
I ve always said N.Italians are the most W.Eurasian pop in Europe, probably along with Basques. I love it when a plan comes together.Quote:
Originally Posted by Sizzo
How odd! Maybe the link only works if you access it from Gedmatch? Try bringing up the calc again, the link is on your results page. What I pasted above is exactly what it says under K3, but there's more details about the other calculators on the same Wiki page.Quote:
Originally Posted by The Nerd
It's inaccessible.Quote:
Originally Posted by StixNstones
It's pretty bad
# Population Percent
1 W_Eurasian 84.36
2 E_Eurasian 13.47
3 SSA 2.17
Using 1 population approximation:
1 Turkish @ 3.368072
2 Balkar @ 3.528425
3 Iranian @ 4.514364
4 Russian @ 5.375814
5 Finnish @ 5.807099
6 Mordovian @ 6.024252
50% Bergamo +50% Kurd_SE @ 0.000000
50% French_South +50% Kurd_SE @ 0.000000
welcome broQuote:
Originally Posted by TheCaspian
can you post your results here too :
http://www.theapricity.com/forum/sho...dmatch-Results
http://www.theapricity.com/forum/sho...dmatch-results
Done, I am from Northern Iran of the Mazandarani ethnic group.Quote:
Originally Posted by All-In
https://en.wikipedia.org/wiki/Mazandaran_Province
https://en.wikipedia.org/wiki/Mazanderani_people
Oracle is not supposed to be accurate for this calculator.
It is mostly about % of these three basic admixtures.
Proto-Indo-European awesomeness:
Eurasia K3 Oracle
1 W_Eurasian 94.26
2 E_Eurasian 5.74
Using 1 population approximation:
Estonian @ 0.483368
Loschbour @ 0.536569
Belarusian @ 1.147057
Ukrainian @ 2.070395
Lithuanian @ 2.897853
Hungarian @ 3.026429
Bulgarian @ 3.530525
Norwegian @ 3.958960
Czech @ 4.309233
Croatian @ 4.392652
Using 2 populations approximation:
50% Belarusian +50% Loschbour @ 0.000000
Admix Results (sorted):
# Population Percent
1 W_Eurasian 95.91
2 E_Eurasian 3.93
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Ukrainian @ 0.330517
2 Lithuanian @ 0.395996
3 Hungarian @ 0.574741
4 Georgian @ 1.150678
5 Bulgarian @ 1.170372
6 Belarusian @ 1.312574
7 Norwegian @ 1.507997
8 Czech @ 1.857041
9 Croatian @ 1.938460
10 Estonian @ 1.974520
11 Armenian @ 2.401689
12 Abkhasian @ 2.501578
13 Albanian @ 2.630467
14 French @ 2.733737
15 Greek @ 2.873395
16 Loschbour @ 2.993281
17 Georgian_Jew @ 3.268921
18 English @ 3.270402
19 Assyrian @ 3.514200
20 Spanish @ 3.597927
Using 2 populations approximation:
1 50% Belarusian +50% Bulgarian @ 0.000000
2 50% Belarusian +50% Norwegian @ 0.000000
3 50% Chechen +50% Stuttgart @ 0.000000
4 50% Croatian +50% Estonian @ 0.000000
5 50% Czech +50% Estonian @ 0.000000
6 50% English +50% Loschbour @ 0.000000
7 50% Estonian +50% Norwegian @ 0.000000
8 50% French +50% Loschbour @ 0.000000
9 50% Hungarian +50% Ukrainian @ 0.000000
10 50% Lithuanian +50% Ukrainian @ 0.000000
11 50% Albanian +50% Loschbour @ 0.250610
12 50% Abkhasian +50% Croatian @ 0.263206
13 50% Belarusian +50% Czech @ 0.267548
14 50% Abkhasian +50% Czech @ 0.278458
15 50% Belarusian +50% Croatian @ 0.282791
16 50% Abkhasian +50% French @ 0.284886
17 50% Albanian +50% Estonian @ 0.296833
18 50% Bulgarian +50% Ukrainian @ 0.311383
19 50% Belarusian +50% Hungarian @ 0.323067
20 50% Ukrainian +50% Ukrainian @ 0.330517
Using 3 populations approximation:
1 50% Abkhasian +25% Belarusian +25% Stuttgart @ 0.000000
Population
E_Eurasian 3.49
W_Eurasian 96.51
Admix Results (sorted):
# Population Percent 1 W_Eurasian 76.15 2 E_Eurasian 11.96 3 SSA 11.89
Eurasia K3 Oracle
Admix Results (sorted):
# Population Percent
1 W_Eurasian 92.50
2 E_Eurasian 7.43
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Chechen @ 0.942435
2 Loschbour @ 1.896095
3 Kurd_N @ 2.185447
4 Abkhasian @ 2.507391
5 Adygei @ 2.747149
6 Estonian @ 2.915819
7 Belarusian @ 3.579437
8 Georgian_Jew @ 3.957074
9 Kurd_C @ 4.220405
10 Ukrainian @ 4.502195
11 Mordovian @ 4.620885
12 Finnish @ 4.863974
13 Georgian @ 5.023590
14 Iranian_Jew @ 5.310184
15 Lithuanian @ 5.330127
16 Russian @ 5.338514
17 Hungarian @ 5.457974
18 Armenian @ 5.478791
19 Bulgarian @ 5.907702
20 Assyrian @ 5.989980
Using 2 populations approximation:
1 50% Adygei +50% Estonian @ 0.000000
2 50% Balkar +50% Croatian @ 0.000000
3 50% Finnish +50% Hungarian @ 0.000000
4 50% Finnish +50% Lithuanian @ 0.000000
5 50% Finnish +50% Ukrainian @ 0.000000
6 50% Hungarian +50% Russian @ 0.000000
7 50% Lithuanian +50% Russian @ 0.000000
8 50% Mordovian +50% Ukrainian @ 0.000000
9 50% Balkar +50% Czech @ 0.254402
10 50% Lithuanian +50% Mordovian @ 0.284599
11 50% Adygei +50% Loschbour @ 0.350456
12 50% Adygei +50% Belarusian @ 0.360934
13 50% Balkar +50% Norwegian @ 0.374702
14 50% Balkar +50% French @ 0.393248
15 50% Balkar +50% English @ 0.409133
16 50% Russian +50% Ukrainian @ 0.418759
17 50% Hungarian +50% Mordovian @ 0.419148
18 50% Bulgarian +50% Russian @ 0.441442
19 50% Finnish +50% Georgian @ 0.484432
20 50% Chechen +50% Loschbour @ 0.485205
Using 3 populations approximation:
1 50% Adygei +25% Adygei +25% English @ 0.000000
Done.
Elapsed time 0.0034 seconds.
Native Australian (kit Z905945):
Admix Results (sorted):
# Population Percent
1 E_Eurasian 66.49
2 W_Eurasian 21.54
3 SSA 11.97
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Great_Andamanese @ 9.347932
2 Onge @ 9.697618
3 Kharia @ 10.112145
4 Birhor @ 10.196522
5 Bhumij @ 10.817683
6 Paniyas @ 13.703825
7 Altaian @ 14.928535
8 Gond @ 15.069019
9 Kyrgyz @ 15.099876
10 Nihali @ 19.136213
11 Yukagir @ 20.452866
12 Yukagir @ 20.452866
13 Kattunayakkan @ 20.907804
14 Sherpa @ 24.519413
15 Irula @ 25.165117
16 Hazara @ 26.034424
17 Madiga @ 29.660011
18 Thai @ 30.312344
19 Changapa @ 31.106314
20 Hallkipiki @ 31.229984
Using 2 populations approximation:
1 50% Onge +50% Paniyas @ 7.309495
2 50% Bhumij +50% Onge @ 8.116324
3 50% Gond +50% Onge @ 8.352816
4 50% Great_Andamanese +50% Onge @ 8.461292
5 50% Birhor +50% Onge @ 8.511601
6 50% Kharia +50% Onge @ 8.915203
7 50% Nihali +50% Onge @ 8.955352
8 50% Great_Andamanese +50% Great_Andamanese @ 9.347932
9 50% Kattunayakkan +50% Onge @ 9.374878
10 50% Onge +50% Onge @ 9.697618
11 50% Great_Andamanese +50% Kharia @ 9.726807
12 50% Birhor +50% Great_Andamanese @ 9.750111
13 50% Bhumij +50% Great_Andamanese @ 9.916514
14 50% Birhor +50% Kharia @ 10.110303
15 50% Kharia +50% Kharia @ 10.112145
16 50% Birhor +50% Birhor @ 10.196522
17 50% Bhumij +50% Kharia @ 10.239260
18 50% Kyrgyz +50% Onge @ 10.368713
19 50% Bhumij +50% Birhor @ 10.437760
20 50% Great_Andamanese +50% Paniyas @ 10.477298
Using 3 populations approximation:
1 50% Changapa +25% Ethiopian_Jew +25% Yukagir @ 1.041225
Ethnic Latvian (kit A643022):
Admix Results (sorted):
# Population Percent
1 W_Eurasian 93.48
2 E_Eurasian 6.52
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Loschbour @ 0.564781
2 Abkhasian @ 1.300751
3 Estonian @ 1.584716
4 Belarusian @ 2.248406
5 Chechen @ 2.287115
6 Kurd_N @ 2.421058
7 Ukrainian @ 3.171646
8 Georgian_Jew @ 3.194513
9 Georgian @ 3.780463
10 Lithuanian @ 3.999202
11 Adygei @ 4.078253
12 Hungarian @ 4.127639
13 Armenian @ 4.390049
14 Iranian_Jew @ 4.516273
15 Bulgarian @ 4.606664
16 Assyrian @ 5.058636
17 Norwegian @ 5.060302
18 Kurd_C @ 5.158126
19 Czech @ 5.410567
20 Croatian @ 5.493906
Using 2 populations approximation:
1 50% Adygei +50% Hungarian @ 0.000000
2 50% Adygei +50% Lithuanian @ 0.000000
3 50% Belarusian +50% Chechen @ 0.000000
4 50% Croatian +50% Mordovian @ 0.000000
5 50% Czech +50% Mordovian @ 0.000000
6 50% English +50% Russian @ 0.000000
7 50% Finnish +50% French @ 0.000000
8 50% French +50% Mordovian @ 0.000000
9 50% French +50% Russian @ 0.000000
10 50% English +50% Finnish @ 0.258712
11 50% Croatian +50% Finnish @ 0.270844
12 50% Chechen +50% Estonian @ 0.309540
13 50% Balkar +50% Stuttgart @ 0.315162
14 50% Albanian +50% Finnish @ 0.352750
15 50% Albanian +50% Mordovian @ 0.352750
16 50% Czech +50% Finnish @ 0.392170
17 50% Chechen +50% Ukrainian @ 0.404063
18 50% Adygei +50% Ukrainian @ 0.415985
19 50% English +50% Mordovian @ 0.440248
20 50% Mordovian +50% Norwegian @ 0.445599
Using 3 populations approximation:
1 50% Adygei +25% Belarusian +25% Croatian @ 0.000000
Unmixed Native American (kit M174237):
http://www.theapricity.com/forum/sho...65#post4259665
Admix Results (sorted):
# Population Percent
1 E_Eurasian 77.21
2 W_Eurasian 22.79
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Altaian @ 3.850997
2 Yukagir @ 7.566089
3 Yukagir @ 7.566089
4 Kharia @ 7.710388
5 Great_Andamanese @ 8.578797
6 Onge @ 9.086884
7 Birhor @ 9.304724
8 Kyrgyz @ 10.345919
9 Bhumij @ 11.542670
10 Sherpa @ 13.354014
11 Gond @ 17.560059
12 Paniyas @ 18.258831
13 Thai @ 20.282179
14 Changapa @ 20.967503
15 Nihali @ 23.295263
16 Kattunayakkan @ 25.599689
17 Mongola @ 25.925554
18 Nganasan @ 26.953400
19 Tibet-refugees @ 27.252836
20 Hazara @ 28.312693
Using 2 populations approximation:
1 50% Hazara +50% Subba @ 0.308882
2 50% Hazara +50% Tibet-refugees @ 0.537675
3 50% Hazara +50% Nganasan @ 0.680751
4 50% Hazara +50% Mongola @ 1.194173
5 50% Kyrgyz +50% Yukagir @ 1.389913
6 50% Kyrgyz +50% Yukagir @ 1.389913
7 50% Kyrgyz +50% Sherpa @ 1.506657
8 50% Hazara +50% Ulchi @ 1.851572
9 50% Altaian +50% Yukagir @ 1.857543
10 50% Altaian +50% Yukagir @ 1.857543
11 50% Han +50% Hazara @ 1.935836
12 50% Dai +50% Hazara @ 1.955318
13 50% Ami +50% Hazara @ 1.955349
14 50% Hazara +50% Nivkh @ 1.955349
15 50% Irula +50% Subba @ 2.188093
16 50% Ami +50% Chenchu @ 2.229834
17 50% Chenchu +50% Nivkh @ 2.229834
18 50% Chenchu +50% Dai @ 2.229897
19 50% Chenchu +50% Han @ 2.244962
20 50% Birhor +50% Yukagir @ 2.295154
Using 3 populations approximation:
1 50% Ami +25% Ami +25% Chechen @ 0.000000
Unmixed Native American (kit M192137):
Admix Results (sorted):
# Population Percent
1 E_Eurasian 75.58
2 W_Eurasian 24.23
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Altaian @ 1.686324
2 Kharia @ 5.924846
3 Great_Andamanese @ 6.830129
4 Birhor @ 7.350073
5 Kyrgyz @ 8.177081
6 Onge @ 9.396663
7 Bhumij @ 9.480144
8 Yukagir @ 9.736913
9 Yukagir @ 9.736913
10 Gond @ 15.393288
11 Sherpa @ 15.514201
12 Paniyas @ 16.138699
13 Nihali @ 21.121679
14 Thai @ 22.443312
15 Changapa @ 23.133221
16 Kattunayakkan @ 23.425608
17 Hazara @ 26.142723
18 Irula @ 27.731430
19 Mongola @ 28.095785
20 Nganasan @ 29.123621
Using 2 populations approximation:
1 50% Kyrgyz +50% Yukagir @ 0.791240
2 50% Kyrgyz +50% Yukagir @ 0.791240
3 50% Hazara +50% Mongola @ 0.980906
4 50% Ami +50% Bengali @ 1.196445
5 50% Bengali +50% Nivkh @ 1.196445
6 50% Bengali +50% Dai @ 1.196501
7 50% Chenchu +50% Ulchi @ 1.206835
8 50% Bengali +50% Han @ 1.213791
9 50% Chenchu +50% Han @ 1.243518
10 50% Ami +50% Chenchu @ 1.252263
11 50% Chenchu +50% Nivkh @ 1.252263
12 50% Chenchu +50% Dai @ 1.252301
13 50% Mala +50% Ulchi @ 1.283897
14 50% Bengali +50% Ulchi @ 1.289442
15 50% Han +50% Mala @ 1.297913
16 50% Ami +50% Mala @ 1.301914
17 50% Mala +50% Nivkh @ 1.301914
18 50% Dai +50% Mala @ 1.301966
19 50% Ami +50% Kamsali @ 1.321784
20 50% Kamsali +50% Nivkh @ 1.321784
Using 3 populations approximation:
1 50% Altaian +25% Hazara +25% Nganasan @ 0.000000
Unmixed Native American (kit M637791):
Admix Results (sorted):
# Population Percent
1 E_Eurasian 74.58
2 W_Eurasian 25.42
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Altaian @ 0.000000
2 Kharia @ 5.194213
3 Great_Andamanese @ 6.105125
4 Birhor @ 6.327569
5 Kyrgyz @ 6.623735
6 Bhumij @ 8.256154
7 Onge @ 10.256041
8 Yukagir @ 11.288272
9 Yukagir @ 11.288272
10 Gond @ 13.948858
11 Paniyas @ 14.787859
12 Sherpa @ 17.073860
13 Nihali @ 19.653416
14 Kattunayakkan @ 21.954786
15 Thai @ 24.001825
16 Hazara @ 24.590527
17 Changapa @ 24.689009
18 Irula @ 26.232796
19 Mongola @ 29.647739
20 Nganasan @ 30.675585
Using 2 populations approximation:
1 50% Altaian +50% Altaian @ 0.000000
2 50% Changapa +50% Hazara @ 0.000000
3 50% Hazara +50% Thai @ 0.562507
4 50% Bengali +50% Ulchi @ 0.872074
5 50% Bengali +50% Han @ 0.913657
6 50% Ami +50% Bengali @ 0.923566
7 50% Bengali +50% Nivkh @ 0.923566
8 50% Bengali +50% Dai @ 0.923601
9 50% Ulchi +50% UP_Chamar @ 1.340246
10 50% Bengali +50% Subba @ 1.377002
11 50% Han +50% UP_Chamar @ 1.378648
12 50% Ami +50% UP_Chamar @ 1.387753
13 50% Nivkh +50% UP_Chamar @ 1.387753
14 50% Dai +50% UP_Chamar @ 1.387790
15 50% Chenchu +50% Subba @ 1.520503
16 50% Ami +50% Kallar @ 1.524083
17 50% Kallar +50% Nivkh @ 1.524083
18 50% Dai +50% Kallar @ 1.524150
19 50% Han +50% Kallar @ 1.533447
20 50% Chenchu +50% Nganasan @ 1.545272
Using 3 populations approximation:
1 50% Altaian +25% Altaian +25% Altaian @ 0.000000
Another unmixed Native American (this time ancient DNA sample):
Clovis Anzick-1, Montana, 10700-10550 BC (kit F999919):
Admix Results (sorted):
# Population Percent
1 E_Eurasian 74.24
2 W_Eurasian 24.66
3 SSA 1.10
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Altaian @ 1.390273
2 Kharia @ 4.253368
3 Great_Andamanese @ 5.162654
4 Birhor @ 5.679259
5 Kyrgyz @ 7.049500
6 Bhumij @ 7.863260
7 Onge @ 8.939782
8 Yukagir @ 11.074672
9 Yukagir @ 11.074672
10 Gond @ 13.935334
11 Paniyas @ 14.581216
12 Sherpa @ 16.789351
13 Nihali @ 19.686832
14 Kattunayakkan @ 21.991709
15 Thai @ 23.698168
16 Changapa @ 24.406475
17 Hazara @ 24.915745
18 Irula @ 26.342995
19 Mongola @ 29.382793
20 Nganasan @ 30.409595
Using 2 populations approximation:
1 50% Ami +50% UP_Chamar @ 0.000000
2 50% Chenchu +50% Subba @ 0.000000
3 50% Dai +50% UP_Chamar @ 0.000000
4 50% Han +50% UP_Chamar @ 0.000000
5 50% Mala +50% Subba @ 0.000000
6 50% Nivkh +50% UP_Chamar @ 0.000000
7 50% Ulchi +50% UP_Chamar @ 0.000000
8 50% Hallkipiki +50% Subba @ 0.281488
9 50% Kamsali +50% Ulchi @ 0.480379
10 50% Bengali +50% Ulchi @ 0.547935
11 50% Han +50% Kamsali @ 0.564644
12 50% Bengali +50% Han @ 0.582207
13 50% Dai +50% Kamsali @ 0.584120
14 50% Ami +50% Kamsali @ 0.584152
15 50% Kamsali +50% Nivkh @ 0.584152
16 50% Bengali +50% Dai @ 0.590645
17 50% Ami +50% Bengali @ 0.590713
18 50% Bengali +50% Nivkh @ 0.590713
19 50% Chenchu +50% Tibet-refugees @ 0.788032
20 50% Ami +50% Bhil @ 0.872780
Using 3 populations approximation:
1 50% Altaian +25% Kattunayakkan +25% Thai @ 0.000000
It seems there is no other Abo, or even Abo admixed people on Gedfmatch. One-to-many comparison for him shows no results.Quote:
Originally Posted by Litvin
Either this, or maybe he was from some tribe which got totally extinct?Quote:
Originally Posted by physical-anthro
Check him on MDLP. there is Auastralian component there. The result are interesting for MDLP K23b
1 Australoid 51.38
2 Melano_Polynesian 39.18
3 South_Indian 4.35
4 South_East_Asian 2.58
5 Archaic_Human 1.86
6 Archaic_African 0.65
Or MDLP K16
1 Australian 46.98
2 Oceanic 31.02
3 Indian 8.49
4 SouthEastAsian 7.02
5 Ancestor 2.13
6 Siberian 2.03
7 Subsaharian 1.13
8 EastAfrican 0.72
9 Amerindian 0.47
1 Australian 9.29
2 Kosipe 36.03
3 Koinanbe 39.91
4 Papuan 59.05
5 Onge 60.96
6 Great_Andamanese 66.27
7 Melanesian 69.84
8 Aeta 71.18
9 Hazara 71.9
10 Gadaba 71.96
11 Mawasi 72.1
12 Roma 72.16
13 Uzbek 72.4
14 Uygur 72.47
15 Bonda 72.51
16 Kharia 72.55
17 Bhunjia 72.55
18 Turkmen 72.63
19 Turkmen 72.65
20 Juang 72.85
Admix Results (sorted):
# Population Percent
1 W_Eurasian 97.51
2 E_Eurasian 1.90
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Albanian @ 0.000000
2 French @ 0.256438
3 Greek @ 0.601141
4 Croatian @ 0.855815
5 English @ 0.900668
6 Czech @ 0.959286
7 Norwegian @ 1.268949
8 French_South @ 1.422811
9 Bulgarian @ 1.592789
10 Bergamo @ 1.702477
11 Spanish @ 1.777898
12 Hungarian @ 2.087375
13 Lithuanian @ 2.239036
14 Sardinian @ 2.358302
15 LBK_EN @ 2.393509
16 Georgian @ 2.661991
17 Ukrainian @ 3.020548
18 Stuttgart @ 3.189937
19 Armenian @ 3.193414
20 Sicilian @ 3.321280
Using 2 populations approximation:
1 50% Albanian +50% Albanian @ 0.000000
2 50% Albanian +50% French @ 0.000000
3 50% Bergamo +50% Bulgarian @ 0.000000
4 50% Bulgarian +50% French_South @ 0.000000
5 50% Croatian +50% Greek @ 0.000000
6 50% Czech +50% Greek @ 0.000000
7 50% French +50% Greek @ 0.000000
8 50% Georgian +50% Stuttgart @ 0.000000
9 50% Hungarian +50% LBK_EN @ 0.000000
10 50% Hungarian +50% Sardinian @ 0.000000
11 50% LBK_EN +50% Lithuanian @ 0.000000
12 50% LBK_EN +50% Ukrainian @ 0.000000
13 50% Lithuanian +50% Sardinian @ 0.000000
14 50% Bergamo +50% Hungarian @ 0.254338
15 50% French +50% French @ 0.256438
16 50% Sardinian +50% Ukrainian @ 0.294350
17 50% Albanian +50% Greek @ 0.313662
18 50% Albanian +50% Croatian @ 0.323890
19 50% Albanian +50% English @ 0.331146
20 50% Albanian +50% Czech @ 0.367340
Using 3 populations approximation:
1 50% Albanian +25% Albanian +25% Albanian @ 0.000000
Done.
Elapsed time 0.0029 seconds.
dayumQuote:
Originally Posted by Kelmendasi
amazing homogenity:)Quote:
Originally Posted by Kelmendasi
Hahahaha lol xD. 100% Albo lolQuote:
Originally Posted by All-In
Thanks bro :). Pretty amazing lolQuote:
Originally Posted by mlukas
Muh Homogenity :cool:
PopulationPercent
1W_Eurasian 95.862
E_Eurasian 3.63
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Hungarian @ 0.653926
2 Lithuanian @ 0.672727
3 Georgian @ 0.742975
4 Ukrainian @ 0.775029
5 Bulgarian @ 0.807300
6 Norwegian @ 1.457240
7 Belarusian @ 1.606488
8 Czech @ 1.776911
9 Croatian @ 1.835233
10 Armenian @ 1.993360
11 Estonian @ 2.233504
12 Albanian @ 2.375847
13 French @ 2.559179
14 Greek @ 2.564248
15 Abkhasian @ 2.628585
16 Georgian_Jew @ 3.070384
17 Assyrian @ 3.108355
18 English @ 3.128085
19 Spanish @ 3.204214
20 Loschbour @ 3.225809
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Eurasia K3 Oracle
Admix Results (sorted):
# Population Percent
1 W_Eurasian 93.94
2 E_Eurasian 5.24
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Abkhasian @ 0.257028
2 Estonian @ 1.052549
3 Loschbour @ 1.203853
4 Belarusian @ 1.429337
5 Georgian_Jew @ 1.813618
6 Ukrainian @ 2.158548
7 Georgian @ 2.324647
8 Kurd_N @ 2.509949
9 Armenian @ 2.803318
10 Lithuanian @ 2.944399
11 Iranian_Jew @ 3.032166
12 Hungarian @ 3.035017
13 Bulgarian @ 3.295863
14 Assyrian @ 3.491472
15 Chechen @ 3.554739
16 Norwegian @ 3.952402
17 Ashkenazi_Jew @ 3.970054
18 Czech @ 4.288656
19 Croatian @ 4.354889
20 Iraqi_Jew @ 4.690366
Using 2 populations approximation:
1 50% Adygei +50% Greek @ 0.000000
2 50% Finnish +50% LBK_EN @ 0.000000
3 50% Finnish +50% Sardinian @ 0.000000
4 50% Kurd_N +50% Ukrainian @ 0.000000
5 50% LBK_EN +50% Mordovian @ 0.000000
6 50% Mordovian +50% Sardinian @ 0.000000
7 50% Kurd_N +50% Lithuanian @ 0.251728
8 50% Abkhasian +50% Abkhasian @ 0.257028
9 50% Hungarian +50% Kurd_N @ 0.316578
10 50% Bulgarian +50% Chechen @ 0.330678
11 50% LBK_EN +50% Russian @ 0.372022
12 50% Russian +50% Sardinian @ 0.372022
13 50% Adygei +50% Albanian @ 0.405182
14 50% Georgian_Jew +50% Loschbour @ 0.423850
15 50% Adygei +50% Spanish @ 0.458673
16 50% Estonian +50% Georgian_Jew @ 0.510592
17 50% Adygei +50% French @ 0.564061
18 50% Belarusian +50% Kurd_N @ 0.588668
19 50% Chechen +50% Georgian @ 0.603895
20 50% Adygei +50% French_South @ 0.629414
Using 3 populations approximation:
1 50% Abkhasian +25% Abkhasian +25% Georgian_Jew @ 0.000000
Done.
Elapsed time 0.0032 seconds.
Some spaniards :
La Rioja:
E_Eurasian 1.60
SSA -
W_Eurasian 98.40
Balearic :
E_Eurasian 2.41
SSA -
W_Eurasian 97.57
Aragonese:
Population
E_Eurasian 1.45
SSA 0.46
W_Eurasian 98.09
Population
E_Eurasian 0.58
SSA 0.72
W_Eurasian 98.70
Catalans :
E_Eurasian 1.26
SSA 0.30
W_Eurasian 98.43
E_Eurasian 1.48
SSA 0.37
W_Eurasian 98.15
Andalusian :
E_Eurasian 0.96
SSA 0.84
W_Eurasian 98.20
http://memecrunch.com/meme/XDTW/mah-....png?w=500&c=1Quote:
Originally Posted by Anakin