This calculator is garbage. It gives crazy oracles. I doubt it’s even the right percentages, especially the SSA lol
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This calculator is garbage. It gives crazy oracles. I doubt it’s even the right percentages, especially the SSA lol
Admix Results (sorted):
# Population Percent
1 W_Eurasian 91.79
2 E_Eurasian 7.37
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Chechen @ 0.828704
2 Kurd_N @ 1.466408
3 Adygei @ 2.332923
4 Loschbour @ 2.572078
5 Abkhasian @ 2.914840
6 Kurd_C @ 3.185110
7 Estonian @ 3.530624
8 Georgian_Jew @ 3.784252
9 Belarusian @ 4.170039
10 Mordovian @ 4.283583
11 Finnish @ 4.519958
12 Russian @ 4.977708
13 Ukrainian @ 5.058265
14 Iranian_Jew @ 5.084372
15 Georgian @ 5.332646
16 Armenian @ 5.554856
17 Assyrian @ 5.875977
18 Lithuanian @ 5.882657
19 Hungarian @ 5.993124
20 Iranian @ 5.998810
Using 2 populations approximation:
1 50% Chechen +50% Kurd_N @ 0.000000
2 50% Hungarian +50% Turkish @ 0.000000
3 50% Lithuanian +50% Turkish @ 0.000000
4 50% Norwegian +50% Turkish @ 0.000000
5 50% Armenian +50% Russian @ 0.276742
6 50% Bulgarian +50% Turkish @ 0.382462
7 50% Georgian +50% Russian @ 0.404518
8 50% Armenian +50% Finnish @ 0.438892
9 50% Balkar +50% Bulgarian @ 0.442502
10 50% Czech +50% Turkish @ 0.484560
11 50% Croatian +50% Turkish @ 0.527674
12 50% Georgian_Jew +50% Mordovian @ 0.528229
13 50% Finnish +50% Georgian @ 0.550258
14 50% Abkhasian +50% Adygei @ 0.556079
15 50% Balkar +50% Greek @ 0.590664
16 50% Finnish +50% Georgian_Jew @ 0.601046
17 50% Armenian +50% Mordovian @ 0.605171
18 50% Albanian +50% Balkar @ 0.613800
19 50% Turkish +50% Ukrainian @ 0.637495
20 50% Georgian +50% Mordovian @ 0.680215
# Population Percent
1 W_Eurasian 96.46
2 E_Eurasian 3.54
Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.000000
3 Norwegian @ 0.839483
4 Bulgarian @ 0.900301
5 Ukrainian @ 1.050021
6 Czech @ 1.189840
7 Croatian @ 1.274233
8 Georgian @ 1.518459
9 Belarusian @ 1.972519
10 Albanian @ 2.069711
11 French @ 2.106876
12 Greek @ 2.389945
13 English @ 2.607111
14 Estonian @ 2.636209
15 Armenian @ 2.693899
16 Abkhasian @ 3.194321
17 Spanish @ 3.266001
18 French_South @ 3.398783
19 Loschbour @ 3.656144
20 Bergamo @ 3.672990
Using 2 populations approximation:
1 50% Belarusian +50% French @ 0.000000
2 50% Croatian +50% Ukrainian @ 0.000000
3 50% Czech +50% Ukrainian @ 0.000000
4 50% English +50% Estonian @ 0.000000
5 50% Hungarian +50% Hungarian @ 0.000000
6 50% Hungarian +50% Lithuanian @ 0.000000
7 50% Lithuanian +50% Lithuanian @ 0.000000
8 50% Lithuanian +50% Norwegian @ 0.000000
9 50% Norwegian +50% Ukrainian @ 0.000000
10 50% Belarusian +50% English @ 0.259065
11 50% Belarusian +50% Croatian @ 0.270485
12 50% Estonian +50% French @ 0.286278
13 50% Hungarian +50% Norwegian @ 0.288616
14 50% Bergamo +50% Loschbour @ 0.300550
15 50% Bulgarian +50% Lithuanian @ 0.350600
16 50% Albanian +50% Belarusian @ 0.352750
17 50% Belarusian +50% Czech @ 0.391666
18 50% French_South +50% Loschbour @ 0.402311
19 50% Bulgarian +50% Hungarian @ 0.473946
20 50% Czech +50% Lithuanian @ 0.484097
Using 3 populations approximation:
1 50% Belarusian +25% Belarusian +25% Stuttgart @ 0.000000
Lol garbage calculator
Gedrosia K3 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
Eurasia K3 Oracle
Admix Results (sorted):
# Population Percent
1 W_Eurasian 95.32
2 SSA 4.68
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Cypriot @ 1.615705
2 Sicilian @ 1.929769
3 Iraqi_Jew @ 2.389827
4 Ashkenazi_Jew @ 2.765399
5 Assyrian @ 3.199445
6 Spanish @ 3.270115
7 Armenian @ 3.932950
8 Iranian_Jew @ 3.948985
9 Greek @ 4.383698
10 Sardinian @ 4.822865
11 Albanian @ 4.876629
12 Georgian @ 4.987672
13 LBK_EN @ 4.999924
14 Bulgarian @ 5.071798
15 Georgian_Jew @ 5.259552
16 French_South @ 5.261505
17 French @ 5.335400
18 Bergamo @ 5.351686
19 English @ 5.638046
20 Croatian @ 5.639931
Using 2 populations approximation:
1 50% Saudi +50% Stuttgart @ 0.811874
2 50% Stuttgart +50% Yemenite_Jew @ 0.901759
3 50% LBK_EN +50% Saudi @ 1.529877
4 50% Sardinian +50% Saudi @ 1.612319
5 50% Cypriot +50% Cypriot @ 1.615705
6 50% Bergamo +50% Saudi @ 1.619897
7 50% Lebanese +50% Stuttgart @ 1.635766
8 50% LBK_EN +50% Yemenite_Jew @ 1.683523
9 50% Bergamo +50% Yemenite_Jew @ 1.685472
10 50% Palestinian +50% Stuttgart @ 1.741472
11 50% Cypriot +50% Iraqi_Jew @ 1.746763
12 50% French_South +50% Saudi @ 1.749787
13 50% Cypriot +50% Sicilian @ 1.769064
14 50% Sardinian +50% Yemenite_Jew @ 1.770483
15 50% French_South +50% Yemenite_Jew @ 1.802771
16 50% LBK_EN +50% Lebanese @ 1.839482
17 50% Lebanese +50% Sardinian @ 1.883080
18 50% Sicilian +50% Sicilian @ 1.929769
19 50% Iraqi_Jew +50% Sicilian @ 1.940497
20 50% English +50% Yemenite_Jew @ 2.008868
Admix Results (sorted):
# Population Percent
1 W_Eurasian 94.52
2 E_Eurasian 5.30
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Estonian @ 0.000000
2 Belarusian @ 0.656363
3 Abkhasian @ 0.672353
4 Loschbour @ 1.046297
5 Ukrainian @ 1.570276
6 Georgian @ 2.237373
7 Lithuanian @ 2.398618
8 Hungarian @ 2.524412
9 Georgian_Jew @ 2.575034
10 Bulgarian @ 2.992158
11 Armenian @ 3.071724
12 Kurd_N @ 3.261756
13 Norwegian @ 3.458255
14 Iranian_Jew @ 3.669657
15 Czech @ 3.808051
16 Chechen @ 3.865643
17 Croatian @ 3.890222
18 Assyrian @ 3.947074
19 Ashkenazi_Jew @ 4.437295
20 Albanian @ 4.544835
Admix Results (sorted):
# Population Percent
1 W_Eurasian 95.99
2 E_Eurasian 4.01
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Ukrainian @ 0.291550
2 Lithuanian @ 0.449649
3 Hungarian @ 0.580419
4 Bulgarian @ 1.299667
5 Belarusian @ 1.301148
6 Georgian @ 1.353728
7 Norwegian @ 1.510798
8 Czech @ 1.861120
9 Croatian @ 1.945042
10 Estonian @ 1.964838
11 Abkhasian @ 2.542983
12 Armenian @ 2.604836
13 Albanian @ 2.694535
14 French @ 2.768328
15 Greek @ 2.966628
16 Loschbour @ 2.984773
17 English @ 3.278094
18 Georgian_Jew @ 3.428324
19 Assyrian @ 3.717083
20 Spanish @ 3.735156
Using 2 populations approximation:
1 50% Belarusian +50% Czech @ 0.000000
2 50% Belarusian +50% Norwegian @ 0.000000
Those were with Family Tree DNA raw data on Classic GEDmatch.Quote:
Originally Posted by Peterski
And here are my Gedrosia K3 results with Living DNA raw data (on GEDmatch Genesis):
Population
E_Eurasian 1.11 Pct
SSA 0.74 Pct
W_Eurasian 98.15 Pct
Admix Results (sorted):
# Population Percent
1 W_Eurasian 88.35
2 E_Eurasian 9.94
3 SSA 1.71
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Turkish @ 1.989501
2 Mordovian @ 2.090765
3 Finnish @ 2.094528
4 Iranian @ 2.108328
5 Russian @ 2.154793
6 Adygei @ 2.575778
7 Kurd_C @ 2.713892
8 Balkar @ 3.032945
9 Chechen @ 4.163402
10 Kurd_N @ 5.085585
11 Loschbour @ 6.927719
12 Abkhasian @ 7.278481
13 Georgian_Jew @ 7.629516
14 Estonian @ 7.906170
15 Belarusian @ 8.548075
16 Iranian_Jew @ 8.690558
17 Ukrainian @ 9.433172
18 Armenian @ 9.588121
19 Georgian @ 9.598644
20 Assyrian @ 9.612068
Using 2 populations approximation:
1 50% Balkar +50% Kurd_C @ 0.000000
2 50% Balochi +50% English @ 0.000000
3 50% Balochi +50% French_South @ 0.000000
4 50% Brahui +50% English @ 0.000000
5 50% Brahui +50% French @ 0.000000
6 50% Balochi +50% Bergamo @ 0.259229
7 50% Brahui +50% French_South @ 0.332929
8 50% Bergamo +50% Brahui @ 0.432428
9 50% Iranian +50% Mordovian @ 0.455700
10 50% Albanian +50% Brahui @ 0.478297
11 50% Balochi +50% French @ 0.498149
12 50% Adygei +50% Iranian @ 0.502266
13 50% Finnish +50% Iranian @ 0.576255
14 50% Albanian +50% Balochi @ 0.605719
15 50% Cypriot +50% Tajik_Pomiri @ 0.617354
16 50% Brahui +50% Greek @ 0.661349
17 50% Spanish +50% Tajik_Pomiri @ 0.687704
18 50% Brahui +50% Croatian @ 0.696269
19 50% Balochi +50% Greek @ 0.705699
20 50% Balochi +50% LBK_EN @ 0.732930
Using 3 populations approximation:
1 50% Abkhasian +25% Armenian +25% Kurd_SE @ 0.000000
Father results (V5 kit):
1 W_Eurasian 96.79
2 E_Eurasian 3.21
Least-squares method.
Using 1 population approximation:
1 Norwegian @ 0.378536
2 Hungarian @ 0.557595
3 Lithuanian @ 0.682825
4 Czech @ 0.728899
5 Croatian @ 0.814055
6 Bulgarian @ 0.837963
7 Ukrainian @ 1.510952
8 French @ 1.657214
9 Albanian @ 1.661745
10 Georgian @ 1.777569
11 Greek @ 2.027918
12 English @ 2.146416
13 Belarusian @ 2.433620
14 Armenian @ 2.846647
15 French_South @ 2.950172
16 Spanish @ 2.985117
17 Estonian @ 3.097311
18 Bergamo @ 3.222536
19 Abkhasian @ 3.645877
20 Assyrian @ 3.919544
Using 2 populations approximation:
1 50% Belarusian +50% English @ 0.000000
2 50% Croatian +50% Hungarian @ 0.000000
3 50% Croatian +50% Lithuanian @ 0.000000
4 50% Czech +50% Hungarian @ 0.000000
5 50% Czech +50% Lithuanian @ 0.000000
6 50% French +50% Ukrainian @ 0.000000
7 50% Hungarian +50% Norwegian @ 0.000000
8 50% Lithuanian +50% Norwegian @ 0.000000
9 50% Loschbour +50% Stuttgart @ 0.000000
10 50% English +50% Ukrainian @ 0.271219
11 50% Croatian +50% Ukrainian @ 0.282036
12 50% Estonian +50% French_South @ 0.299300
13 50% Bergamo +50% Estonian @ 0.300550
14 50% Albanian +50% Ukrainian @ 0.376450
15 50% Belarusian +50% French @ 0.377678
16 50% Norwegian +50% Norwegian @ 0.378536
17 50% Czech +50% Ukrainian @ 0.392139
18 50% French +50% Lithuanian @ 0.410620
19 50% Belarusian +50% French_South @ 0.423536
20 50% Bulgarian +50% Norwegian @ 0.443707
Using 3 populations approximation:
1 50% Belarusian +25% Bergamo +25% Croatian @ 0.000000
My results (V3 kit):
E_Eurasian 3.02 Pct
SSA 0.74 Pct
W_Eurasian 96.24 Pct
1 Bulgarian @ 0.000000
2 Hungarian @ 0.856010
3 Lithuanian @ 1.000182
4 Georgian @ 1.005138
5 Norwegian @ 1.079864
6 Czech @ 1.306745
7 Croatian @ 1.327678
8 Ukrainian @ 1.516933
9 Albanian @ 1.672465
10 Greek @ 1.813687
11 Armenian @ 1.919530
12 French @ 1.921169
13 Belarusian @ 2.361800
14 Spanish @ 2.476275
15 English @ 2.506157
16 Assyrian @ 2.980631
17 Estonian @ 2.985682
18 French_South @ 3.111665
19 Sicilian @ 3.128540
20 Abkhasian @ 3.330071
Using 2 populations approximation:
1 50% Abkhasian +50% Bergamo @ 0.000000
2 50% Abkhasian +50% French_South @ 0.000000
3 50% Belarusian +50% Greek @ 0.000000
4 50% Bulgarian +50% Bulgarian @ 0.000000
5 50% Croatian +50% Georgian @ 0.000000
6 50% Czech +50% Georgian @ 0.000000
7 50% Georgian +50% Norwegian @ 0.000000
8 50% LBK_EN +50% Loschbour @ 0.000000
9 50% Loschbour +50% Sardinian @ 0.000000
10 50% Greek +50% Ukrainian @ 0.255997
11 50% Belarusian +50% Spanish @ 0.278108
12 50% Abkhasian +50% LBK_EN @ 0.289462
13 50% Abkhasian +50% Sardinian @ 0.289462
14 50% Kurd_N +50% Stuttgart @ 0.296310
15 50% Armenian +50% Czech @ 0.340807
16 50% Bulgarian +50% Hungarian @ 0.350193
17 50% Albanian +50% Georgian @ 0.355464
18 50% Bulgarian +50% Georgian @ 0.365601
19 50% Armenian +50% Croatian @ 0.369007
20 50% Armenian +50% Norwegian @ 0.423608
Using 3 populations approximation:
1 50% Abkhasian +25% Albanian +25% LBK_EN @ 0.000000
So my two closest populations are Bulgarian and Norwegian. Doesn't make sense.
Admix Results (sorted):
# Population Percent
1 W_Eurasian 96.70
2 E_Eurasian 2.76
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Bulgarian @ 0.377731
2 Norwegian @ 0.616077
3 Croatian @ 0.754835
4 Czech @ 0.765924
5 Hungarian @ 0.988216
6 Lithuanian @ 1.148071
7 Albanian @ 1.165241
8 French @ 1.350843
9 Greek @ 1.429123
10 Georgian @ 1.576729
11 Ukrainian @ 1.869081
12 English @ 1.943815
13 Spanish @ 2.291587
14 Armenian @ 2.397763
15 French_South @ 2.597168
16 Belarusian @ 2.772866
17 Bergamo @ 2.876822
18 Sicilian @ 3.287779
19 Assyrian @ 3.407998
20 Estonian @ 3.421442
Using 2 populations approximation:
1 50% Albanian +50% Hungarian @ 0.000000
2 50% Albanian +50% Lithuanian @ 0.000000
3 50% Belarusian +50% Bergamo @ 0.000000
4 50% Belarusian +50% French_South @ 0.000000
5 50% Bulgarian +50% Croatian @ 0.000000
6 50% Bulgarian +50% Czech @ 0.000000
7 50% Bulgarian +50% Norwegian @ 0.000000
8 50% English +50% Georgian @ 0.000000
9 50% Estonian +50% LBK_EN @ 0.000000
10 50% Estonian +50% Sardinian @ 0.000000
11 50% French +50% Georgian @ 0.000000
12 50% Greek +50% Hungarian @ 0.000000
13 50% Greek +50% Lithuanian @ 0.000000
14 50% Greek +50% Ukrainian @ 0.000000
15 50% Bergamo +50% Estonian @ 0.287406
16 50% Belarusian +50% Sardinian @ 0.293744
17 50% Albanian +50% Ukrainian @ 0.295656
18 50% Albanian +50% Bulgarian @ 0.346244
19 50% Abkhasian +50% Stuttgart @ 0.377657
20 50% Bulgarian +50% Bulgarian @ 0.377731
Using 3 populations approximation:
1 50% Abkhasian +25% Bergamo +25% Stuttgart @ 0.000000
Father:
Admix Results (sorted):
# Population Percent
1 W_Eurasian 85.36
2 E_Eurasian 14.17
3 SSA 0.47
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Balkar @ 2.281946
2 Turkish @ 2.437938
3 Iranian @ 4.033826
4 Russian @ 4.170736
5 Finnish @ 4.615611
6 Mordovian @ 4.840386
7 Adygei @ 6.532331
8 Kurd_C @ 6.918817
9 Chechen @ 8.312182
10 Makrani @ 8.452826
11 Tajik_Pomiri @ 8.522900
12 Brahui @ 8.785830
13 Balochi @ 9.137668
14 Kurd_N @ 9.498835
15 Loschbour @ 11.155490
16 Abkhasian @ 11.599970
17 Georgian_Jew @ 12.041950
18 Estonian @ 12.163169
19 Syrian @ 12.741434
20 Belarusian @ 12.819925
Mother:
Admix Results (sorted):
# Population Percent
1 W_Eurasian 96.34
2 E_Eurasian 2.93
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Bulgarian @ 0.000000
2 Hungarian @ 0.912556
3 Norwegian @ 1.003371
4 Lithuanian @ 1.059826
5 Georgian @ 1.131141
6 Czech @ 1.176718
7 Croatian @ 1.216667
8 Albanian @ 1.537200
9 Ukrainian @ 1.626563
10 Greek @ 1.685385
11 French @ 1.788553
12 Armenian @ 1.993984
13 English @ 2.374660
14 Spanish @ 2.379577
15 Belarusian @ 2.484224
16 French_South @ 2.976370
17 Assyrian @ 3.036222
18 Sicilian @ 3.104610
19 Estonian @ 3.112402
20 Bergamo @ 3.255848
Father:
Admix Results (sorted):
# Population Percent
1 W_Eurasian 85.36
2 E_Eurasian 14.17
3 SSA 0.47
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Balkar @ 2.281946
2 Turkish @ 2.437938
3 Iranian @ 4.033826
4 Russian @ 4.170736
5 Finnish @ 4.615611
6 Mordovian @ 4.840386
7 Adygei @ 6.532331
8 Kurd_C @ 6.918817
9 Chechen @ 8.312182
10 Makrani @ 8.452826
11 Tajik_Pomiri @ 8.522900
12 Brahui @ 8.785830
13 Balochi @ 9.137668
14 Kurd_N @ 9.498835
15 Loschbour @ 11.155490
16 Abkhasian @ 11.599970
17 Georgian_Jew @ 12.041950
18 Estonian @ 12.163169
19 Syrian @ 12.741434
20 Belarusian @ 12.819925
Mother:
Admix Results (sorted):
# Population Percent
1 W_Eurasian 96.34
2 E_Eurasian 2.93
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Bulgarian @ 0.000000
2 Hungarian @ 0.912556
3 Norwegian @ 1.003371
4 Lithuanian @ 1.059826
5 Georgian @ 1.131141
6 Czech @ 1.176718
7 Croatian @ 1.216667
8 Albanian @ 1.537200
9 Ukrainian @ 1.626563
10 Greek @ 1.685385
11 French @ 1.788553
12 Armenian @ 1.993984
13 English @ 2.374660
14 Spanish @ 2.379577
15 Belarusian @ 2.484224
16 French_South @ 2.976370
17 Assyrian @ 3.036222
18 Sicilian @ 3.104610
19 Estonian @ 3.112402
20 Bergamo @ 3.255848
# Population Percent
1 W_Eurasian 89.97
2 SSA 7.55
3 E_Eurasian 2.48
Using 1 population approximation:
1 Lebanese @ 0.890820
2 Saudi @ 2.773701
3 Syrian @ 3.232216
4 Yemenite_Jew @ 3.453974
5 Palestinian @ 4.116140
6 Jordanian @ 4.627374
7 Iraqi_Jew @ 5.318702
8 Iranian_Jew @ 5.862257
9 Ashkenazi_Jew @ 6.038869
10 Assyrian @ 6.319304
11 Georgian_Jew @ 6.565450
12 Kurd_C @ 7.042319
13 Kurd_N @ 7.137679
14 Sicilian @ 7.201887
15 Cypriot @ 7.249001
16 Armenian @ 7.354654
17 Georgian @ 8.500443
18 Abkhasian @ 8.588468
19 Spanish @ 9.003948
20 Iranian @ 9.109571
Using 2 populations approximation:
1 50% BedouinA +50% Hungarian @ 0.000000
2 50% BedouinA +50% Lithuanian @ 0.000000
3 50% BedouinA +50% Ukrainian @ 0.000000
4 50% Iraqi_Jew +50% Jordanian @ 0.301537
5 50% BedouinA +50% Bulgarian @ 0.692803
6 50% BedouinA +50% Norwegian @ 0.704997
7 50% BedouinA +50% Belarusian @ 0.708273
8 50% Ashkenazi_Jew +50% Jordanian @ 0.712641
9 50% BedouinA +50% Georgian @ 0.797150
10 50% Iranian_Jew +50% Jordanian @ 0.857843
11 50% Assyrian +50% Jordanian @ 0.865108
12 50% BedouinA +50% Czech @ 0.879751
13 50% Lebanese +50% Lebanese @ 0.890820
14 50% BedouinA +50% Croatian @ 0.923050
15 50% Iranian_Jew +50% Palestinian @ 0.966620
16 50% BedouinA +50% Estonian @ 1.039064
17 50% Iraqi_Jew +50% Syrian @ 1.108489
18 50% Georgian_Jew +50% Palestinian @ 1.224655
19 50% Iraqi_Jew +50% Palestinian @ 1.255017
20 50% Albanian +50% BedouinA @ 1.339668
Using 3 populations approximation:
1 50% Albanian +25% Lebanese +25% Yemen @ 0.000000
^^^Quote:
Originally Posted by Daco Celtic
You should rather pay attention to Mixed Mode (Albanian + Hungarian in your case).
7 50% Bulgarian +50% Norwegian @ 0.000000Quote:
Originally Posted by Peterski
I actually think this combo makes more sense but neither is a good 1 population approximation (midpoint)
what is with the 0.000000 fit?
You can't get any fine fit with only 3 components, but really just one for Europeans "West Eurasian". It's the kind of low K2-K3, studies use to sort out samples quickly at large scale. Don't try read too much into the Oracle.
# Population Percent
1 W_Eurasian 90.11
2 E_Eurasian 9.89
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Adygei @ 0.839161
2 Mordovian @ 1.190772
3 Finnish @ 1.433874
4 Russian @ 1.908628
5 Chechen @ 2.522908
6 Kurd_C @ 3.685012
7 Balkar @ 3.865254
8 Turkish @ 3.906100
9 Kurd_N @ 4.413867
10 Iranian @ 4.557950
11 Loschbour @ 5.325357
12 Abkhasian @ 5.903312
13 Estonian @ 6.345292
14 Georgian_Jew @ 6.905972
15 Belarusian @ 7.008982
16 Ukrainian @ 7.932111
17 Iranian_Jew @ 8.170842
18 Georgian @ 8.400180
19 Armenian @ 8.693748
20 Lithuanian @ 8.759778
Using 2 populations approximation:
1 50% Stuttgart +50% Tajik_Pomiri @ 0.000000
2 50% Adygei +50% Mordovian @ 0.263298
3 50% Chechen +50% Russian @ 0.284944
4 50% Adygei +50% Finnish @ 0.349243
5 50% Chechen +50% Finnish @ 0.541981
6 50% Adygei +50% Russian @ 0.616393
7 50% Chechen +50% Mordovian @ 0.661843
8 50% Balkar +50% Loschbour @ 0.755634
9 50% Balkar +50% Chechen @ 0.780584
10 50% Adygei +50% Adygei @ 0.839161
11 50% Bergamo +50% Tajik_Pomiri @ 0.930398
12 50% LBK_EN +50% Tajik_Pomiri @ 0.992758
13 50% French_South +50% Tajik_Pomiri @ 1.045858
14 50% Sardinian +50% Tajik_Pomiri @ 1.081257
15 50% Abkhasian +50% Balkar @ 1.164631
16 50% Mordovian +50% Mordovian @ 1.190772
17 50% English +50% Tajik_Pomiri @ 1.258156
18 50% Balkar +50% Estonian @ 1.260828
19 50% Chechen +50% Turkish @ 1.277640
20 50% Finnish +50% Mordovian @ 1.312326
Using 3 populations approximation:
1 50% Balkar +25% Croatian +25% Russian @ 0.000000
Admix Results (sorted):
# Population Percent
1 W_Eurasian 95.26
2 SSA 2.56
3 E_Eurasian 2.18
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Armenian @ 0.961735
2 Assyrian @ 1.073211
3 Sicilian @ 1.199452
4 Ashkenazi_Jew @ 1.237139
5 Cypriot @ 1.586694
6 Georgian @ 1.949159
7 Iranian_Jew @ 1.959679
8 Iraqi_Jew @ 2.029749
9 Spanish @ 2.096316
10 Bulgarian @ 2.285487
11 Greek @ 2.563310
12 Georgian_Jew @ 2.800597
13 Albanian @ 2.877952
14 Hungarian @ 3.045180
15 Lithuanian @ 3.151964
16 Norwegian @ 3.193115
17 Croatian @ 3.237534
18 Czech @ 3.273960
19 Ukrainian @ 3.288953
20 French @ 3.348567
Using 2 populations approximation:
1 50% Armenian +50% Cypriot @ 0.000000
2 50% Armenian +50% Sicilian @ 0.000000
3 50% Iranian_Jew +50% Spanish @ 0.000000
4 50% Bulgarian +50% Iraqi_Jew @ 0.259616
5 50% Georgian +50% Sicilian @ 0.403026
6 50% Cypriot +50% Georgian @ 0.427200
7 50% Greek +50% Iranian_Jew @ 0.462226
8 50% Albanian +50% Iraqi_Jew @ 0.539866
9 50% Assyrian +50% Spanish @ 0.546539
10 50% Iraqi_Jew +50% Norwegian @ 0.553793
11 50% Greek +50% Iraqi_Jew @ 0.572182
12 50% Croatian +50% Iraqi_Jew @ 0.599959
13 50% Czech +50% Iraqi_Jew @ 0.612343
14 50% Georgian_Jew +50% Spanish @ 0.626080
15 50% Ashkenazi_Jew +50% Spanish @ 0.659346
16 50% Ashkenazi_Jew +50% Bulgarian @ 0.670558
17 50% Assyrian +50% Sicilian @ 0.687235
18 50% Ashkenazi_Jew +50% Greek @ 0.687962
19 50% Hungarian +50% Iraqi_Jew @ 0.723834
20 50% French +50% Iraqi_Jew @ 0.744369
Using 3 populations approximation:
1 50% Albanian +25% Albanian +25% Lebanese @ 0.000000
Admix Results (sorted):
# Population Percent
1 W_Eurasian 93.32
2 E_Eurasian 3.46
3 SSA 3.22
Least-squares method.
Using 1 population approximation:
1 Iranian_Jew @ 0.367638
2 Georgian_Jew @ 1.253512
3 Assyrian @ 1.378970
4 Ashkenazi_Jew @ 1.585189
5 Iraqi_Jew @ 1.911876
6 Armenian @ 1.990546
7 Georgian @ 2.977484
8 Sicilian @ 3.174311
9 Abkhasian @ 3.390818
10 Kurd_N @ 3.465294
11 Cypriot @ 3.486817
12 Belarusian @ 3.946589
13 Bulgarian @ 3.949858
14 Estonian @ 3.970721
15 Ukrainian @ 4.039822
16 Loschbour @ 4.216326
17 Hungarian @ 4.364978
18 Lithuanian @ 4.386565
19 Spanish @ 4.510654
20 Greek @ 4.867108
Using 2 populations approximation:
1 50% Iranian_Jew +50% Iranian_Jew @ 0.367638
2 50% Georgian_Jew +50% Iraqi_Jew @ 0.532369
3 50% Georgian_Jew +50% Iranian_Jew @ 0.615335
4 50% Ashkenazi_Jew +50% Georgian_Jew @ 0.687628
5 50% Iraqi_Jew +50% Kurd_N @ 0.745400
6 50% Cypriot +50% Kurd_N @ 0.767105
7 50% Assyrian +50% Georgian_Jew @ 0.815742
8 50% Kurd_N +50% Sicilian @ 0.863669
9 50% Assyrian +50% Iranian_Jew @ 0.905584
10 50% Ashkenazi_Jew +50% Iranian_Jew @ 1.002288
11 50% Ashkenazi_Jew +50% Kurd_N @ 1.013865
12 50% Lebanese +50% Lithuanian @ 1.022861
13 50% Lebanese +50% Norwegian @ 1.056924
14 50% Hungarian +50% Lebanese @ 1.060361
15 50% Abkhasian +50% Iraqi_Jew @ 1.098593
16 50% Iranian_Jew +50% Iraqi_Jew @ 1.098834
17 50% Czech +50% Lebanese @ 1.145294
18 50% Cypriot +50% Kurd_C @ 1.163408
19 50% Kurd_C +50% Spanish @ 1.191760
20 50% Croatian +50% Lebanese @ 1.195624
Admix Results (sorted):
# Population Percent
1 W_Eurasian 94.59
2 E_Eurasian 5.41
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Estonian @ 0.000000
2 Belarusian @ 0.679222
3 Abkhasian @ 0.832412
4 Loschbour @ 1.004403
5 Ukrainian @ 1.602643
6 Georgian @ 2.382505
7 Lithuanian @ 2.430018
8 Hungarian @ 2.558689
9 Georgian_Jew @ 2.789753
10 Bulgarian @ 3.078799
11 Armenian @ 3.262602
12 Kurd_N @ 3.373344
13 Norwegian @ 3.491128
14 Czech @ 3.841407
15 Chechen @ 3.845726
16 Iranian_Jew @ 3.886828
17 Croatian @ 3.924873
18 Assyrian @ 4.151881
19 Albanian @ 4.614411
20 Ashkenazi_Jew @ 4.642192
Using 2 populations approximation:
1 50% Belarusian +50% Estonian @ 0.000000
2 50% Belarusian +50% Loschbour @ 0.000000
3 50% Chechen +50% Croatian @ 0.000000
4 50% Chechen +50% Czech @ 0.000000
5 50% Chechen +50% Norwegian @ 0.000000
6 50% Estonian +50% Estonian @ 0.000000
7 50% Finnish +50% Stuttgart @ 0.000000
8 50% Loschbour +50% Ukrainian @ 0.000000
9 50% Mordovian +50% Stuttgart @ 0.000000
10 50% Russian +50% Stuttgart @ 0.000000
11 50% Abkhasian +50% Belarusian @ 0.282500
12 50% Adygei +50% English @ 0.361348
13 50% Abkhasian +50% Estonian @ 0.412706
14 50% Estonian +50% Loschbour @ 0.494436
15 50% Chechen +50% French @ 0.561030
16 50% Adygei +50% French_South @ 0.605323
17 50% Adygei +50% French @ 0.609191
18 50% Abkhasian +50% Ukrainian @ 0.633411
19 50% Chechen +50% Hungarian @ 0.648736
20 50% Adygei +50% Bergamo @ 0.670900
Using 3 populations approximation:
1 50% Adygei +25% Croatian +25% Stuttgart @ 0.000000
E_Eurasian 1.70 Pct
SSA 0.85 Pct
W_Eurasian 97.45 Pct
Admix Results (sorted):
#PopulationPercent
1W_Eurasian93.81
2E_Eurasian6.19
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Loschbour @ 0.000000
2 Abkhasian @ 0.919631
3 Estonian @ 1.110977
4 Belarusian @ 1.774667
5 Kurd_N @ 2.652988
6 Ukrainian @ 2.697939
7 Chechen @ 2.756398
8 Georgian_Jew @ 2.992608
9 Georgian @ 3.342438
10 Lithuanian @ 3.525463
11 Hungarian @ 3.653949
12 Armenian @ 4.018555
13 Bulgarian @ 4.142145
14 Iranian_Jew @ 4.277695
15 Adygei @ 4.549383
16 Norwegian @ 4.586566
17 Assyrian @ 4.749882
18 Czech @ 4.936834
19 Croatian @ 5.020203
I am Loushbour!!!! I actually share DNA with him but at lower thresholds. But still 7.1 CM is not that low.
Admix Results (sorted):
# Population Percent
1 W_Eurasian 93.14
2 E_Eurasian 3.46
3 SSA 3.40
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Iranian_Jew @ 0.633641
2 Georgian_Jew @ 1.427193
3 Assyrian @ 1.565914
4 Ashkenazi_Jew @ 1.707090
5 Iraqi_Jew @ 1.905532
6 Armenian @ 2.235804
7 Georgian @ 3.234012
8 Sicilian @ 3.304016
9 Kurd_N @ 3.474115
10 Abkhasian @ 3.573599
11 Cypriot @ 3.611400
12 Belarusian @ 4.176946
13 Estonian @ 4.179655
14 Bulgarian @ 4.203434
15 Ukrainian @ 4.289502
16 Loschbour @ 4.384228
17 Hungarian @ 4.621482
18 Lithuanian @ 4.642945
19 Spanish @ 4.705592
20 Greek @ 5.094419
Using 2 populations approximation:
1 50% Iranian_Jew +50% Iranian_Jew @ 0.633641
2 50% Georgian_Jew +50% Iraqi_Jew @ 0.674932
3 50% Iraqi_Jew +50% Kurd_N @ 0.770688
4 50% Lebanese +50% Lithuanian @ 0.784408
5 50% Hungarian +50% Lebanese @ 0.829629
6 50% Georgian_Jew +50% Iranian_Jew @ 0.886980
7 50% Lebanese +50% Norwegian @ 0.919952
8 50% Ashkenazi_Jew +50% Georgian_Jew @ 0.940433
9 50% Lebanese +50% Ukrainian @ 0.941718
10 50% Czech +50% Lebanese @ 1.018836
11 50% Cypriot +50% Kurd_N @ 1.022159
12 50% Croatian +50% Lebanese @ 1.070264
13 50% Assyrian +50% Georgian_Jew @ 1.072206
14 50% Cypriot +50% Kurd_C @ 1.081704
15 50% Kurd_N +50% Sicilian @ 1.102406
16 50% Assyrian +50% Iranian_Jew @ 1.107960
17 50% Iranian_Jew +50% Iraqi_Jew @ 1.131479
18 50% Ashkenazi_Jew +50% Kurd_N @ 1.133327
19 50% Ashkenazi_Jew +50% Iranian_Jew @ 1.134780
20 50% Belarusian +50% Lebanese @ 1.223122
Using 3 populations approximation:
1 50% Abkhasian +25% Albanian +25% Palestinian @ 0.000000
The 2 populations approximation is kind of BS. No way I am half Norwegian.
Me
Admix Results (sorted):
# Population Percent
1 W_Eurasian 90.47
2 E_Eurasian 7.32
3 SSA 2.20
My mum
Admix Results (sorted):
# Population Percent
1 W_Eurasian 90.60
2 E_Eurasian 7.37
3 SSA 2.03
Admix Results (sorted):
# Population Percent
1 W_Eurasian 55.42
2 E_Eurasian 42.82
3 SSA 1.76
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Velama @ 0.000000
2 UP_Muslim @ 0.913243
3 Malli @ 1.483789
4 UP_Kol @ 1.673676
5 Hazara_Afghan @ 1.817999
6 Kanjar @ 1.825582
7 UP_Caste @ 2.845865
8 Uzbek @ 3.057672
9 GujaratiD @ 3.092633
10 Kurumba @ 3.394508
11 Piramalai @ 6.248933
12 Kallar @ 6.428900
13 Tharu @ 6.480784
14 Bhil @ 6.618912
15 Jains @ 6.828190
16 Turkmen_Afghan @ 6.870677
17 Tamil_Brahmin @ 7.481158
18 GujaratiC @ 7.515582
19 Meghawal @ 8.049591
20 Bengali @ 8.729198
Using 2 populations approximation:
1 50% Bhil +50% Jains @ 0.000000
2 50% GujaratiD +50% UP_Caste @ 0.000000
3 50% Hazara_Afghan +50% Malli @ 0.000000
4 50% Iranian_Jew +50% Yukagir @ 0.000000
5 50% Iranian_Jew +50% Yukagir @ 0.000000
6 50% Jains +50% Kallar @ 0.000000
7 50% Kanjar +50% UP_Kol @ 0.000000
8 50% Piramalai +50% Turkmen_Afghan @ 0.000000
9 50% Punjabi +50% UP_Chamar @ 0.000000
10 50% Tharu +50% Turkmen_Afghan @ 0.000000
11 50% Velama +50% Velama @ 0.000000
12 50% Nihali +50% Tajik @ 0.266097
13 50% Kamsali +50% Punjabi @ 0.285221
14 50% Bhil +50% Turkmen_Afghan @ 0.299103
15 50% UP_Muslim +50% Velama @ 0.316784
Eurasia K3 Oracle
Admix Results (sorted):
# Population Percent
1 W_Eurasian 46.17
2 E_Eurasian 28.31
3 SSA 25.52
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Malli @ 27.855408
2 Kurumba @ 28.826664
3 GujaratiD @ 28.900005
4 Kanjar @ 29.206795
5 Velama @ 29.261869
6 Piramalai @ 29.423876
7 Meghawal @ 29.433939
8 Tharu @ 29.606577
9 UP_Muslim @ 29.644011
10 UP_Kol @ 29.747223
11 Vaish @ 29.816446
12 Jains @ 29.817219
13 Tamil_Brahmin @ 30.134428
14 Bhil @ 30.176016
15 Punjabi @ 30.195393
16 UP_Caste @ 30.204010
17 Kallar @ 30.253286
18 GujaratiC @ 30.362019
19 Turkmen_Afghan @ 30.714569
20 Uzbek @ 30.997456
Using 2 populations approximation:
1 50% Ethiopian_Jew +50% Hazara @ 0.711202
2 50% Ethiopian_Jew +50% Irula @ 1.407232
3 50% Ethiopian_Jew +50% Kattunayakkan @ 2.394105
4 50% Ethiopian_Jew +50% Nihali @ 3.229687
5 50% Ethiopian_Jew +50% Madiga @ 3.288114
6 50% Chenchu +50% Ethiopian_Jew @ 3.562406
7 50% Ethiopian_Jew +50% Hallkipiki @ 3.667421
8 50% Ethiopian_Jew +50% Mala @ 3.745366
9 50% Ethiopian_Jew +50% Kamsali @ 4.660772
10 50% Ethiopian_Jew +50% UP_Chamar @ 4.962307
11 50% Bengali +50% Ethiopian_Jew @ 5.012417
12 50% Ethiopian_Jew +50% Gond @ 5.865131
13 50% Ethiopian_Jew +50% Paniyas @ 6.101293
14 50% Bhil +50% Ethiopian_Jew @ 6.114835
15 50% Ethiopian_Jew +50% Kallar @ 6.194953
16 50% Ethiopian_Jew +50% Tharu @ 6.258476
17 50% Ethiopian_Jew +50% Piramalai @ 6.393859
18 50% Bengali +50% Somali @ 7.250727
19 50% Somali +50% UP_Chamar @ 7.730129
20 50% Kamsali +50% Somali @ 7.802164
Using 3 populations approximation:
1 50% Burusho +25% Esan +25% UP_Caste @ 0.000000
Admix Results (sorted):
# Population Percent
1 W_Eurasian 95.09
2 SSA 2.97
3 E_Eurasian 1.94
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Sicilian @ 0.868479
2 Ashkenazi_Jew @ 0.910889
3 Assyrian @ 0.951310
4 Cypriot @ 1.276624
5 Armenian @ 1.321795
6 Iraqi_Jew @ 1.593678
7 Iranian_Jew @ 1.900468
8 Spanish @ 2.257668
9 Georgian @ 2.434370
10 Bulgarian @ 2.779550
11 Greek @ 2.900849
12 Georgian_Jew @ 2.949690
13 Albanian @ 3.259417
14 Hungarian @ 3.545577
15 Lithuanian @ 3.652470
16 Norwegian @ 3.671169
17 Croatian @ 3.692716
18 Czech @ 3.734973
19 French @ 3.740403
20 Ukrainian @ 3.774018
Using 2 populations approximation:
1 50% Armenian +50% Cypriot @ 0.000000
2 50% Assyrian +50% Cypriot @ 0.000000
3 50% Assyrian +50% Sicilian @ 0.000000
4 50% Armenian +50% Sicilian @ 0.299090
5 50% Ashkenazi_Jew +50% Sicilian @ 0.336210
6 50% Iranian_Jew +50% Spanish @ 0.406989
7 50% Cypriot +50% Iranian_Jew @ 0.483709
8 50% Iranian_Jew +50% Sicilian @ 0.538763
9 50% Ashkenazi_Jew +50% Cypriot @ 0.564429
10 50% Iraqi_Jew +50% Spanish @ 0.601399
11 50% Greek +50% Iraqi_Jew @ 0.652524
12 50% Ashkenazi_Jew +50% Spanish @ 0.676322
13 50% Assyrian +50% Spanish @ 0.714690
14 50% Bulgarian +50% Iraqi_Jew @ 0.748403
15 50% Armenian +50% Ashkenazi_Jew @ 0.809101
16 50% Armenian +50% Iraqi_Jew @ 0.809532
17 50% Albanian +50% Iraqi_Jew @ 0.833866
18 50% Cypriot +50% Georgian_Jew @ 0.837303
19 50% Iraqi_Jew +50% Sicilian @ 0.851413
20 50% Cypriot +50% Georgian @ 0.853317
Using 3 populations approximation:
1 50% Albanian +25% Bergamo +25% Jordanian @ 0.000000
# Population Percent
1 W_Eurasian 94.64
2 E_Eurasian 5.06
I think it over exaggerates my East-Eurasian part for sure.
E_Eurasian 6.69 Pct
SSA 1.61 Pct
W_Eurasian 91.70 Pct
I am an Ashkenazi, I don't think my results are super accurate
Population
E_Eurasian 0.65 Pct
SSA 3.81 Pct
W_Eurasian 95.54 Pct
Least-squares method.
Using 1 population approximation:
1 Cypriot @ 0.482043
2 Sicilian @ 0.826266
3 Iraqi_Jew @ 2.016830
4 Ashkenazi_Jew @ 2.033712
5 Spanish @ 2.290034
6 Assyrian @ 2.376061
7 Armenian @ 2.926188
8 Iranian_Jew @ 3.249872
9 Greek @ 3.355218
10 Albanian @ 3.834926
11 Georgian @ 3.910069
12 Bulgarian @ 3.959968
13 Sardinian @ 4.125625
14 LBK_EN @ 4.299491
15 French @ 4.306069
16 French_South @ 4.375128
17 Georgian_Jew @ 4.467024
18 Bergamo @ 4.509065
19 Croatian @ 4.556057
20 Czech @ 4.627956
Using 2 populations approximation:
1 50% Cypriot +50% Cypriot @ 0.482043
2 50% Cypriot +50% Sicilian @ 0.650942
3 50% Sicilian +50% Sicilian @ 0.826266
4 50% Cypriot +50% Iraqi_Jew @ 1.024709
5 50% Iraqi_Jew +50% Spanish @ 1.097191
6 50% Ashkenazi_Jew +50% Cypriot @ 1.135879
7 50% Lebanese +50% Stuttgart @ 1.142008
8 50% Iraqi_Jew +50% Sicilian @ 1.183816
9 50% Ashkenazi_Jew +50% Sicilian @ 1.327132
10 50% Assyrian +50% Cypriot @ 1.336648
11 50% Cypriot +50% Spanish @ 1.377993
12 50% Saudi +50% Stuttgart @ 1.389012
13 50% Iraqi_Jew +50% Sardinian @ 1.416142
14 50% Sicilian +50% Spanish @ 1.465335
15 50% Ashkenazi_Jew +50% Spanish @ 1.474139
16 50% Iraqi_Jew +50% LBK_EN @ 1.501815
17 50% Assyrian +50% Sicilian @ 1.530314
18 50% Greek +50% Iraqi_Jew @ 1.623930
19 50% Armenian +50% Cypriot @ 1.654471
20 50% Stuttgart +50% Yemenite_Jew @ 1.684077
Using 3 populations approximation:
1 50% Bergamo +25% Cypriot +25% Saudi @ 0.000000
Done.
Admix Results (sorted):
# Population Percent
1 W_Eurasian 89.30
2 E_Eurasian 8.29
3 SSA 2.41
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Kurd_C @ 0.741620
2 Adygei @ 2.503340
3 Iranian @ 3.002775
4 Chechen @ 3.249287
5 Kurd_N @ 3.322585
6 Mordovian @ 3.429465
7 Finnish @ 3.553911
8 Russian @ 3.824587
9 Turkish @ 3.914382
10 Balkar @ 5.053673
11 Loschbour @ 5.604294
12 Georgian_Jew @ 5.758355
13 Abkhasian @ 5.764309
14 Estonian @ 6.493802
15 Iranian_Jew @ 6.736371
16 Belarusian @ 7.091506
17 Assyrian @ 7.672138
18 Armenian @ 7.742253
19 Georgian @ 7.893785
20 Ukrainian @ 7.918858
Using 2 populations approximation:
1 50% Iranian +50% Kurd_N @ 0.000000
2 50% Makrani +50% Stuttgart @ 0.618325
3 50% Kurd_C +50% Kurd_C @ 0.741620
4 50% Kurd_N +50% Turkish @ 0.810208
5 50% Chechen +50% Iranian @ 0.918030
6 50% Adygei +50% Kurd_C @ 0.983322
7 50% Bergamo +50% Makrani @ 1.022232
8 50% Georgian_Jew +50% Turkish @ 1.080147
9 50% Brahui +50% LBK_EN @ 1.087235
10 50% French_South +50% Makrani @ 1.089838
11 50% Brahui +50% Sardinian @ 1.125654
12 50% English +50% Makrani @ 1.134797
13 50% Brahui +50% Stuttgart @ 1.183336
14 50% LBK_EN +50% Makrani @ 1.269761
15 50% Balochi +50% LBK_EN @ 1.323409
16 50% Balochi +50% Sardinian @ 1.328933
17 50% Kurd_C +50% Mordovian @ 1.344990
18 50% Makrani +50% Sardinian @ 1.351315
19 50% Balochi +50% Stuttgart @ 1.356350
20 50% Iranian +50% Loschbour @ 1.372654
Using 3 populations approximation:
1 50% Abkhasian +25% Lebanese +25% Tajik_Pomiri @ 0.000000
1. W_Eurasian 89.73
2 E_Eurasian 8.34
3 SSA 1.92
1 Kurd_C @ 1.201297
2 Adygei @ 1.908550
3 Chechen @ 2.615988
4 Kurd_N @ 2.977473
5 Mordovian @ 3.101965
6 Finnish @ 3.265417
7 Iranian @ 3.485962
8 Russian @ 3.592447
9 Turkish @ 4.099449
10 Balkar @ 5.036476
11 Loschbour @ 5.076379
12 Abkhasian @ 5.302811
13 Georgian_Jew @ 5.506270
14 Estonian @ 5.998618
15 Iranian_Jew @ 6.572496
16 Belarusian @ 6.614159
17 Ukrainian @ 7.465881
18 Armenian @ 7.467480
19 Assyrian @ 7.489829
20 Georgian @ 7.529200
Using 2 populations approximation:
1 50% Adygei +50% Kurd_C @ 0.292946
2 50% Kurd_N +50% Turkish @ 0.568819
3 50% Georgian_Jew +50% Turkish @ 0.698597
4 50% Chechen +50% Iranian @ 0.724137
5 50% Iranian +50% Kurd_N @ 0.740887
6 50% Iranian +50% Loschbour @ 0.795345
7 50% Balkar +50% Georgian_Jew @ 0.839018
8 50% Balkar +50% Iranian_Jew @ 0.886137
9 50% Abkhasian +50% Iranian @ 0.967817
10 50% Brahui +50% Stuttgart @ 1.014084
11 50% Chechen +50% Kurd_C @ 1.015178
12 50% Abkhasian +50% Turkish @ 1.050674
13 50% Kurd_C +50% Mordovian @ 1.087623
14 50% Makrani +50% Stuttgart @ 1.154325
15 50% Finnish +50% Kurd_C @ 1.191962
16 50% Kurd_C +50% Kurd_C @ 1.201297
17 50% Balochi +50% Stuttgart @ 1.228518
18 50% Kurd_N +50% Russian @ 1.228953
19 50% Estonian +50% Iranian @ 1.267071
20 50% Finnish +50% Kurd_N @ 1.287549
Using 3 populations approximation:
1 50% Abkhasian +25% Balochi +25% Iranian_Jew @ 0.000000
Paternal ancestry mostly Kurd and maternal ancestry is Circassian-Balkan.
Population
E_Eurasian 0.84 Pct
SSA 1.70 Pct
W_Eurasian 97.47 Pct
Least-squares method.
Using 1 population approximation:
1 Spanish @ 0.630951
2 Greek @ 0.955791
3 Albanian @ 1.420971
4 French_South @ 1.513210
5 Sardinian @ 1.569397
6 Bergamo @ 1.652992
7 LBK_EN @ 1.707453
8 French @ 1.752960
9 English @ 1.903994
10 Croatian @ 2.378207
11 Sicilian @ 2.453651
12 Cypriot @ 2.456441
13 Czech @ 2.480464
14 Bulgarian @ 2.617363
15 Norwegian @ 2.717042
16 Stuttgart @ 3.157917
17 Armenian @ 3.350811
18 Hungarian @ 3.359919
19 Georgian @ 3.390626
20 Lithuanian @ 3.519890
Using 2 populations approximation:
1 50% Sicilian +50% Stuttgart @ 0.318428
2 50% Bergamo +50% Sicilian @ 0.327614
3 50% Bergamo +50% Cypriot @ 0.403998
4 50% Ashkenazi_Jew +50% Stuttgart @ 0.410608
5 50% French_South +50% Sicilian @ 0.425865
6 50% French_South +50% Spanish @ 0.456648
7 50% Cypriot +50% French_South @ 0.473595
8 50% Sardinian +50% Spanish @ 0.486106
9 50% Bergamo +50% Spanish @ 0.517088
10 50% Assyrian +50% Stuttgart @ 0.529511
11 50% LBK_EN +50% Spanish @ 0.534562
12 50% Cypriot +50% Stuttgart @ 0.541567
13 50% LBK_EN +50% Sicilian @ 0.545877
14 50% Greek +50% Spanish @ 0.590329
15 50% Iraqi_Jew +50% Stuttgart @ 0.597789
16 50% Spanish +50% Spanish @ 0.630951
17 50% Sardinian +50% Sicilian @ 0.630993
18 50% Cypriot +50% English @ 0.659144
19 50% Cypriot +50% LBK_EN @ 0.694743
20 50% Greek +50% Sardinian @ 0.740617
So apparently I am closer to a Russian than Kurd_N. has to be the worst calc I have ever used
# Population Percent
1 W_Eurasian 86.15
2 E_Eurasian 9.31
3 SSA 4.54
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Iranian @ 1.612821
2 Turkish @ 3.532002
3 Kurd_C @ 3.959596
4 Balkar @ 5.299654
5 Russian @ 5.552266
6 Finnish @ 5.641242
7 Mordovian @ 5.687729
8 Adygei @ 5.976001
9 Kurd_N @ 7.034669
10 Chechen @ 7.153375
11 Syrian @ 7.747562
12 Lebanese @ 8.143094
13 Jordanian @ 8.960656
14 Georgian_Jew @ 9.142726
15 Loschbour @ 9.513719
16 Abkhasian @ 9.586856
17 Iranian_Jew @ 9.804141
18 Makrani @ 10.044878
19 Palestinian @ 10.298193
20 Estonian @ 10.358607
Using 2 populations approximation:
1 50% Iranian_Jew +50% Makrani @ 0.000000
2 50% Assyrian +50% Makrani @ 0.308723
3 50% Ashkenazi_Jew +50% Makrani @ 0.429645
4 50% Iraqi_Jew +50% Makrani @ 0.622164
5 50% Armenian +50% Makrani @ 0.835846
6 50% Georgian_Jew +50% Makrani @ 0.881532
7 50% Brahui +50% Iraqi_Jew @ 1.183495
8 50% Makrani +50% Sicilian @ 1.227323
9 50% Balochi +50% Iraqi_Jew @ 1.350522
10 50% Cypriot +50% Makrani @ 1.381562
11 50% Georgian +50% Makrani @ 1.423212
12 50% Brahui +50% Cypriot @ 1.571409
13 50% Ashkenazi_Jew +50% Brahui @ 1.590400
14 50% Balochi +50% Cypriot @ 1.604657
15 50% Iranian +50% Iranian @ 1.612821
16 50% Brahui +50% Sicilian @ 1.649300
17 50% Balochi +50% Sicilian @ 1.704709
18 50% Ashkenazi_Jew +50% Balochi @ 1.729965
19 50% Assyrian +50% Brahui @ 1.834888
20 50% Bulgarian +50% Makrani @ 1.840319
Gedmatch should have never put an oracle on this calculator since oracles are pretty useless on any k3 calculator no matter whose it is. Dude all it’s telling you is probably that your W Eurasian- E Eurasian ratio is closer to Russian whatever Russians they used than kurd n.Quote:
Originally Posted by Dr_Maul
As long as you disregard oracles on this it’s pretty useful because other ones don’t give your E Eurasian W Eurasian ratio
It's an alright calculator and a good idea, but it would be nice if they made a separate category for South Eurasian/Negrito/AASI-related ancestry and made it a V4 calculator. I know that it's considered a subcategory of East Eurasian but they're still different and most people don't associate the two components with one another and it would've been better to split them. I like the idea for the calculator though.Quote:
Originally Posted by Zoro
I agree it would have been better if it had S. Eurasian also.Quote:
Originally Posted by Mingle
Population
E_Eurasian 5.99 Pct
SSA -
W_Eurasian 94.01 Pct
Code:Least-squares method.
Using 1 population approximation:
1 Loschbour @ 0.000000
2 Abkhasian @ 0.770329
3 Estonian @ 0.825764
4 Belarusian @ 1.489454
5 Ukrainian @ 2.412752
6 Kurd_N @ 2.818605
7 Georgian_Jew @ 2.901587
8 Chechen @ 3.039595
9 Georgian @ 3.083822
10 Lithuanian @ 3.240249
11 Hungarian @ 3.368772
12 Armenian @ 3.805863
13 Bulgarian @ 3.863562
14 Iranian_Jew @ 4.152997
15 Norwegian @ 4.301354
16 Assyrian @ 4.577618
17 Czech @ 4.651624
18 Croatian @ 4.735014
19 Adygei @ 4.833271
20 Ashkenazi_Jew @ 5.061417
Using 2 populations approximation:
1 50% Adygei +50% Croatian @ 0.000000
2 50% Adygei +50% Czech @ 0.000000
3 50% Chechen +50% Hungarian @ 0.000000
4 50% Chechen +50% Lithuanian @ 0.000000
5 50% Estonian +50% Loschbour @ 0.000000
6 50% Loschbour +50% Loschbour @ 0.000000
7 50% English +50% Mordovian @ 0.262749
8 50% Adygei +50% Norwegian @ 0.277901
9 50% Abkhasian +50% Loschbour @ 0.282500
10 50% Chechen +50% Ukrainian @ 0.297050
11 50% Finnish +50% French_South @ 0.299300
12 50% French_South +50% Mordovian @ 0.299300
13 50% Bergamo +50% Finnish @ 0.300550
14 50% Bergamo +50% Mordovian @ 0.406804
15 50% Balkar +50% Stuttgart @ 0.409897
16 50% Bergamo +50% Russian @ 0.423075
17 50% English +50% Finnish @ 0.445924
18 50% French_South +50% Russian @ 0.494002
19 50% Russian +50% Stuttgart @ 0.518212
20 50% Adygei +50% French @ 0.556091
Using 3 populations approximation:
1 50% Adygei +25% Belarusian +25% Stuttgart @ 0.000000
Admix Results (sorted):
# Population Percent
1 W_Eurasian 91.48
2 E_Eurasian 7.13
3 SSA 1.39
Using 1 population approximation:
1 Kurd_N @ 1.039412
2 Chechen @ 1.419685
3 Adygei @ 2.536241
4 Kurd_C @ 2.647958
5 Loschbour @ 2.950120
6 Abkhasian @ 3.116800
7 Georgian_Jew @ 3.572956
8 Estonian @ 3.829061
9 Belarusian @ 4.433555
10 Mordovian @ 4.443170
11 Finnish @ 4.668701
12 Iranian_Jew @ 4.802876
13 Russian @ 5.104540
14 Ukrainian @ 5.279550
15 Georgian @ 5.387326
16 Armenian @ 5.455391
17 Assyrian @ 5.650546
18 Iranian @ 5.652713
19 Ashkenazi_Jew @ 6.013063
20 Lithuanian @ 6.087656
Using 2 populations approximation:
1 50% Assyrian +50% Russian @ 0.000000
2 50% Bulgarian +50% Turkish @ 0.000000
3 50% Finnish +50% Iranian_Jew @ 0.000000
4 50% Iranian +50% Ukrainian @ 0.000000
5 50% Iranian_Jew +50% Mordovian @ 0.000000
6 50% Kurd_C +50% Loschbour @ 0.000000
7 50% Iranian_Jew +50% Russian @ 0.256401
8 50% Iranian +50% Lithuanian @ 0.345785
9 50% Georgian_Jew +50% Mordovian @ 0.373010
10 50% Georgian +50% Turkish @ 0.404542
11 50% Finnish +50% Georgian_Jew @ 0.458960
12 50% Armenian +50% Russian @ 0.472991
13 50% Assyrian +50% Finnish @ 0.474364
14 50% Chechen +50% Kurd_N @ 0.474791
15 50% Hungarian +50% Iranian @ 0.488145
16 50% Ashkenazi_Jew +50% Russian @ 0.509713
17 50% Balkar +50% Sicilian @ 0.513286
18 50% Belarusian +50% Iranian @ 0.568031
19 50% Hungarian +50% Turkish @ 0.570071
20 50% Assyrian +50% Mordovian @ 0.594128