Post your Gedrosia K3

[Hulu]

It's an interesting calculator.

# Population Percent
1 W_Eurasian 96.32
2 SSA 2.03
3 E_Eurasian 1.65


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Spanish @ 0.871690
2 Greek @ 1.342709
3 Sicilian @ 1.455717
4 Cypriot @ 1.673711
5 Albanian @ 1.737856
6 Bulgarian @ 1.881621
7 Armenian @ 1.927093
8 French @ 2.236328
9 Georgian @ 2.240286
10 Assyrian @ 2.367552
11 Croatian @ 2.379907
12 Czech @ 2.449237
13 Ashkenazi_Jew @ 2.469187
14 Norwegian @ 2.498157
15 English @ 2.691684
16 French_South @ 2.724432
17 Hungarian @ 2.739732
18 Lithuanian @ 2.886720
19 Bergamo @ 2.941682
20 Sardinian @ 3.012504

Using 2 populations approximation:
1 50% Albanian +50% Sicilian @ 0.000000
2 50% Ashkenazi_Jew +50% Bergamo @ 0.000000
3 50% Ashkenazi_Jew +50% French_South @ 0.000000
4 50% Assyrian +50% Bergamo @ 0.000000
5 50% Assyrian +50% French_South @ 0.000000
6 50% English +50% Iraqi_Jew @ 0.000000
7 50% Greek +50% Sicilian @ 0.000000
8 50% Iranian_Jew +50% LBK_EN @ 0.000000
9 50% Iranian_Jew +50% Sardinian @ 0.000000
10 50% Albanian +50% Cypriot @ 0.266082
11 50% Croatian +50% Cypriot @ 0.289090
12 50% Bergamo +50% Iranian_Jew @ 0.313468
13 50% Cypriot +50% Czech @ 0.317290
14 50% French_South +50% Iraqi_Jew @ 0.321262
15 50% Assyrian +50% Sardinian @ 0.355682
16 50% Ashkenazi_Jew +50% English @ 0.394872
17 50% Cypriot +50% Greek @ 0.397232
18 50% Cypriot +50% French @ 0.405479
19 50% French_South +50% Iranian_Jew @ 0.412968
20 50% Cypriot +50% Norwegian @ 0.424112


Using 3 populations approximation:
1 50% Albanian +25% Ashkenazi_Jew +25% Cypriot @ 0.000000

[TheMaestro]

This calculator is bullshit too xD

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

[Hulu]

This calculator is bullshit too xD



This is a very interesting calculator, you just have to interpret it the right way

[Impaler]

dmix Results (sorted):

# Population Percent
1 W_Eurasian 92.04
2 E_Eurasian 5.95
3 SSA 2.01


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Kurd_N @ 0.332978
2 Georgian_Jew @ 2.196848
3 Abkhasian @ 2.468893
4 Chechen @ 2.683980
5 Loschbour @ 2.725714
6 Estonian @ 3.302571
7 Kurd_C @ 3.313508
8 Iranian_Jew @ 3.367128
9 Belarusian @ 3.777335
10 Adygei @ 3.983283
11 Armenian @ 4.150285
12 Assyrian @ 4.237820
13 Georgian @ 4.291671
14 Ukrainian @ 4.486111
15 Ashkenazi_Jew @ 4.582221
16 Iraqi_Jew @ 4.963353
17 Lithuanian @ 5.230917
18 Hungarian @ 5.300725
19 Bulgarian @ 5.386940
20 Mordovian @ 5.876576

Using 2 populations approximation:
1 50% Albanian +50% Iranian @ 0.000000
2 50% Greek +50% Iranian @ 0.000000
3 50% Spanish +50% Turkish @ 0.000000
4 50% French +50% Iranian @ 0.286888
5 50% Cypriot +50% Russian @ 0.300522
6 50% Kurd_N +50% Kurd_N @ 0.332978
7 50% Adygei +50% Ashkenazi_Jew @ 0.353943
8 50% Adygei +50% Iranian_Jew @ 0.387319
9 50% Adygei +50% Iraqi_Jew @ 0.399672
10 50% Croatian +50% Iranian @ 0.453552
11 50% Cypriot +50% Finnish @ 0.477584
12 50% Russian +50% Sicilian @ 0.478887
13 50% Adygei +50% Assyrian @ 0.484385
14 50% Czech +50% Iranian @ 0.503044
15 50% Finnish +50% Sicilian @ 0.505503
16 50% Georgian +50% Kurd_C @ 0.506452
17 50% Cypriot +50% Mordovian @ 0.545575
18 50% Iraqi_Jew +50% Mordovian @ 0.546739
19 50% Mordovian +50% Sicilian @ 0.560737
20 50% Iranian +50% Norwegian @ 0.598599


Using 3 populations approximation:
1 50% Abkhasian +25% Iranian +25% Iranian_Jew @ 0.000000

[frankhammer]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 97.16
2 E_Eurasian 2.84


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Croatian @ 0.000000
2 Czech @ 0.000000
3 Norwegian @ 0.000000
4 Hungarian @ 1.078771
5 Bulgarian @ 1.085768
6 French @ 1.158556
7 Lithuanian @ 1.205369
8 Albanian @ 1.245086
9 English @ 1.624612
10 Greek @ 1.671765
11 Ukrainian @ 2.033397
12 Georgian @ 2.153361
13 French_South @ 2.447401
14 Bergamo @ 2.716380
15 Spanish @ 2.726465
16 Belarusian @ 2.956165
17 Armenian @ 3.092339
18 Sardinian @ 3.487279
19 LBK_EN @ 3.502409
20 Estonian @ 3.619855

Using 2 populations approximation:
1 50% Croatian +50% Croatian @ 0.000000
2 50% Croatian +50% Czech @ 0.000000
3 50% Croatian +50% Norwegian @ 0.000000
4 50% Czech +50% Czech @ 0.000000
5 50% Czech +50% Norwegian @ 0.000000
6 50% English +50% Hungarian @ 0.000000
7 50% English +50% Lithuanian @ 0.000000
8 50% English +50% Ukrainian @ 0.000000
9 50% Estonian +50% Stuttgart @ 0.000000
10 50% French +50% Hungarian @ 0.000000
11 50% French +50% Lithuanian @ 0.000000
12 50% Loschbour +50% Stuttgart @ 0.000000
13 50% Norwegian +50% Norwegian @ 0.000000
14 50% Abkhasian +50% Stuttgart @ 0.282500
15 50% Croatian +50% Hungarian @ 0.321335
16 50% Belarusian +50% Bergamo @ 0.404602
17 50% French_South +50% Ukrainian @ 0.419948
18 50% French +50% Norwegian @ 0.421180
19 50% French +50% Ukrainian @ 0.432678
20 50% Czech +50% Hungarian @ 0.437543


Using 3 populations approximation:
1 50% Belarusian +25% Bergamo +25% Stuttgart @ 0.000000

[Lehel]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 92.51
2 E_Eurasian 7.04


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Chechen @ 1.216733
2 Kurd_N @ 1.689642
3 Loschbour @ 1.705803
4 Abkhasian @ 2.154008
5 Estonian @ 2.691575
6 Adygei @ 3.003436
7 Belarusian @ 3.344058
8 Georgian_Jew @ 3.437004
9 Kurd_C @ 4.029814
10 Ukrainian @ 4.250195
11 Georgian @ 4.650062
12 Iranian_Jew @ 4.786608
13 Mordovian @ 4.931696
14 Armenian @ 5.023480
15 Lithuanian @ 5.079243
16 Finnish @ 5.173358
17 Hungarian @ 5.197332
18 Assyrian @ 5.488120
19 Bulgarian @ 5.584901
20 Russian @ 5.642949

Using 2 populations approximation:
1 50% Albanian +50% Balkar @ 0.000000
2 50% Balkar +50% English @ 0.000000
3 50% Balkar +50% French @ 0.000000
4 50% Bulgarian +50% Finnish @ 0.000000
5 50% Bulgarian +50% Russian @ 0.000000
6 50% Georgian +50% Mordovian @ 0.000000
7 50% Finnish +50% Georgian @ 0.251373
8 50% Adygei +50% Belarusian @ 0.264380
9 50% Bulgarian +50% Mordovian @ 0.288078
10 50% Adygei +50% Estonian @ 0.372393
11 50% Balkar +50% Greek @ 0.390870
12 50% Finnish +50% Hungarian @ 0.409030
13 50% Abkhasian +50% Adygei @ 0.425381
14 50% Chechen +50% Loschbour @ 0.428268
15 50% Balkar +50% Croatian @ 0.462909
16 50% Abkhasian +50% Chechen @ 0.471188
17 50% Hungarian +50% Mordovian @ 0.508598
18 50% Finnish +50% Lithuanian @ 0.516916
19 50% Balkar +50% French_South @ 0.521788
20 50% Georgian +50% Russian @ 0.525713

[someonenotyou]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.81
2 E_Eurasian 3.19


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Norwegian @ 0.257339
2 Hungarian @ 0.586350
3 Czech @ 0.700022
4 Lithuanian @ 0.711719
5 Croatian @ 0.785255
6 Bulgarian @ 0.849358
7 Ukrainian @ 1.539839
8 French @ 1.629249
9 Albanian @ 1.637120
10 Georgian @ 1.796433
11 Greek @ 2.006586
12 English @ 2.117553
13 Belarusian @ 2.462515
14 Armenian @ 2.849072
15 French_South @ 2.922190
16 Spanish @ 2.970203
17 Estonian @ 3.126204
18 Bergamo @ 3.194410
19 Abkhasian @ 3.674252
20 Assyrian @ 3.928846

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 @ 0.250788
11 50% Norwegian +50% Norwegian @ 0.257339
12 50% Bergamo +50% Estonian @ 0.300550
13 50% Croatian +50% Ukrainian @ 0.302467
14 50% Bulgarian +50% Norwegian @ 0.360400
15 50% Albanian +50% Ukrainian @ 0.376450
16 50% French +50% Lithuanian @ 0.390189
17 50% Estonian +50% French_South @ 0.393009
18 50% Belarusian +50% French @ 0.398109
19 50% Belarusian +50% French_South @ 0.409335
20 50% Czech +50% Ukrainian @ 0.420957

[Dick]

# Population Percent
1 W_Eurasian 96.67
2 E_Eurasian 3.31


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.407366
2 Norwegian @ 0.527933
3 Lithuanian @ 0.533293
4 Bulgarian @ 0.834905
5 Czech @ 0.878236
6 Croatian @ 0.962547
7 Ukrainian @ 1.361053
8 Georgian @ 1.657994
9 Albanian @ 1.780534
10 French @ 1.797475
11 Greek @ 2.126922
12 Belarusian @ 2.283978
13 English @ 2.295413
14 Armenian @ 2.768468
15 Estonian @ 2.947661
16 Spanish @ 3.055594
17 French_South @ 3.090106
18 Bergamo @ 3.363563
19 Abkhasian @ 3.494620
20 Assyrian @ 3.852706

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% Croatian +50% Ukrainian @ 0.000000
5 50% Czech +50% Hungarian @ 0.000000
6 50% Czech +50% Lithuanian @ 0.000000
7 50% Czech +50% Ukrainian @ 0.000000
8 50% French +50% Ukrainian @ 0.000000
9 50% Hungarian +50% Norwegian @ 0.000000
10 50% Lithuanian +50% Norwegian @ 0.000000
11 50% English +50% Estonian @ 0.257286
12 50% Belarusian +50% French @ 0.262581
13 50% Loschbour +50% Stuttgart @ 0.264519
14 50% Estonian +50% French_South @ 0.280779
15 50% Bergamo +50% Estonian @ 0.384333
16 50% Hungarian +50% Hungarian @ 0.407366
17 50% Norwegian +50% Ukrainian @ 0.416630
18 50% Albanian +50% Ukrainian @ 0.438229
19 50% Hungarian +50% Lithuanian @ 0.469373
20 50% English +50% Ukrainian @ 0.469529


Using 3 populations approximation:
1 50% Belarusian +25% Bergamo +25% Croatian @ 0.000000

[Norka]

Population Percent
1 W_Eurasian 87.55
2 E_Eurasian 12.45


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Balkar @ 0.504597
2 Russian @ 1.718788
3 Turkish @ 2.167439
4 Finnish @ 2.193387
5 Mordovian @ 2.436488
6 Iranian @ 4.178128
7 Adygei @ 4.358091
8 Kurd_C @ 5.837679
9 Chechen @ 6.136294
10 Kurd_N @ 7.761588
11 Loschbour @ 8.952617
12 Abkhasian @ 9.515126
13 Estonian @ 9.972552
14 Georgian_Jew @ 10.328572
15 Tajik_Pomiri @ 10.463115
16 Belarusian @ 10.636243
17 Makrani @ 11.183908
18 Brahui @ 11.288568
19 Iranian_Jew @ 11.510012
20 Ukrainian @ 11.559348

Using 2 populations approximation:
1 50% Belarusian +50% Tajik_Pomiri @ 0.000000
2 50% English +50% Kalash @ 0.000000
3 50% Estonian +50% Tajik_Pomiri @ 0.000000
4 50% French +50% Kalash @ 0.309792
5 50% Balkar +50% Balkar @ 0.504597
6 50% Pathan +50% Stuttgart @ 0.543816
7 50% French_South +50% Kalash @ 0.556297
8 50% Tajik_Pomiri +50% Ukrainian @ 0.564382
9 50% Albanian +50% Kalash @ 0.622075
10 50% Bergamo +50% Kalash @ 0.636426
11 50% Pashtun_Afghan +50% Stuttgart @ 0.637476
12 50% Croatian +50% Kalash @ 0.677760
13 50% Abkhasian +50% Tajik_Pomiri @ 0.702835
14 50% Czech +50% Kalash @ 0.717261
15 50% Loschbour +50% Tajik_Pomiri @ 0.759360
16 50% Balkar +50% Russian @ 0.767217
17 50% Greek +50% Kalash @ 0.817213
18 50% Bergamo +50% Pashtun_Afghan @ 0.854952
19 50% Kalash +50% Norwegian @ 0.891689
20 50% Stuttgart +50% Tajik @ 0.902754


Using 3 populations approximation:
1 50% Belarusian +25% Burusho +25% Estonian @ 0.000000

[Congolese Rice]

I think this calc picks up strongly on my Arab ancestry xd lowest oracle i've ever gotten also. Im genetically closer to Arab countries than european ones, isn't that weird? xD



Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 70.69
2 SSA 24.64
3 E_Eurasian 4.68


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Yemen @ 6.992152
2 BedouinA @ 16.514948
3 Jordanian @ 21.230423
4 Palestinian @ 22.216034
5 Syrian @ 22.713820
6 Makrani @ 23.265154
7 Yemenite_Jew @ 23.770639
8 Saudi @ 24.127378
9 Lebanese @ 24.956497
10 Brahui @ 26.556114
11 Balochi @ 26.776749
12 Iranian @ 27.350168
13 Kurd_C @ 28.835421
14 Turkish @ 28.843187
15 Tajik_Pomiri @ 30.083445
16 Kurd_SE @ 30.178659
17 Balkar @ 30.354717
18 Pashtun_Afghan @ 30.994925
19 Iraqi_Jew @ 31.173023
20 Kurd_N @ 31.182398

Using 2 populations approximation:
1 50% Chechen +50% Ethiopian_Jew @ 0.664888
2 50% Adygei +50% Ethiopian_Jew @ 0.670471
3 50% Ethiopian_Jew +50% Mordovian @ 1.396412
4 50% Ethiopian_Jew +50% Finnish @ 1.515203
5 50% Ethiopian_Jew +50% Russian @ 1.750749
6 50% Ethiopian_Jew +50% Kurd_N @ 1.809919
7 50% Ethiopian_Jew +50% Loschbour @ 1.921028
8 50% Ethiopian_Jew +50% Kurd_C @ 2.095646
9 50% Abkhasian +50% Ethiopian_Jew @ 2.261198
10 50% Estonian +50% Ethiopian_Jew @ 2.425764
11 50% Balkar +50% Ethiopian_Jew @ 2.738768
12 50% Belarusian +50% Ethiopian_Jew @ 2.755240
13 50% Ethiopian_Jew +50% Turkish @ 2.767783
14 50% Ethiopian_Jew +50% Georgian_Jew @ 2.936199
15 50% Ethiopian_Jew +50% Iranian @ 2.972049
16 50% Ethiopian_Jew +50% Ukrainian @ 3.217198
17 50% Ethiopian_Jew +50% Georgian @ 3.519166
18 50% Ethiopian_Jew +50% Iranian_Jew @ 3.602995
19 50% Ethiopian_Jew +50% Lithuanian @ 3.626465
20 50% Ethiopian_Jew +50% Hungarian @ 3.694578

[oszkar07]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.46
2 E_Eurasian 3.54


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

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

[Astarte]

# Population Percent
1 W_Eurasian 94.84
2 SSA 3.17
3 E_Eurasian 1.99




Finished reading population data. 129 populations found.
3 components mode.


--------------------------------


Least-squares method.


Using 1 population approximation:
1 Ashkenazi_Jew @ 0.553669
2 Assyrian @ 0.745069
3 Sicilian @ 1.063554
4 Iraqi_Jew @ 1.268308
5 Cypriot @ 1.382617
6 Armenian @ 1.431296
7 Iranian_Jew @ 1.688069
8 Spanish @ 2.571667
9 Georgian @ 2.614615
10 Georgian_Jew @ 2.836047
11 Bulgarian @ 3.051351
12 Greek @ 3.232096
13 Albanian @ 3.586607
14 Hungarian @ 3.791374
15 Lithuanian @ 3.890831
16 Ukrainian @ 3.957403
17 Norwegian @ 3.963929
18 Croatian @ 4.001364
19 Czech @ 4.040399
20 French @ 4.067259


Using 2 populations approximation:
1 50% Assyrian +50% Cypriot @ 0.000000
2 50% Assyrian +50% Sicilian @ 0.000000
3 50% Cypriot +50% Iranian_Jew @ 0.000000
4 50% Iranian_Jew +50% Sicilian @ 0.000000
5 50% Ashkenazi_Jew +50% Sicilian @ 0.252342
6 50% Ashkenazi_Jew +50% Cypriot @ 0.409642
7 50% Ashkenazi_Jew +50% Ashkenazi_Jew @ 0.553669
8 50% Armenian +50% Iraqi_Jew @ 0.591725
9 50% Armenian +50% Cypriot @ 0.621996
10 50% Ashkenazi_Jew +50% Assyrian @ 0.635230
11 50% Iraqi_Jew +50% Sicilian @ 0.646877
12 50% Armenian +50% Sicilian @ 0.648396
13 50% Armenian +50% Ashkenazi_Jew @ 0.744308
14 50% Cypriot +50% Georgian_Jew @ 0.744882
15 50% Assyrian +50% Assyrian @ 0.745069
16 50% Iranian_Jew +50% Spanish @ 0.776967
17 50% Assyrian +50% Iraqi_Jew @ 0.805522
18 50% Iraqi_Jew +50% Spanish @ 0.811502
19 50% Cypriot +50% Iraqi_Jew @ 0.824106
20 50% Ashkenazi_Jew +50% Iraqi_Jew @ 0.886486




Using 3 populations approximation:
1 50% Albanian +25% Albanian +25% Jordanian @ 0.000000

[magicalM]

Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.000000
3 Norwegian @ 0.848188
4 Bulgarian @ 0.904182
5 Ukrainian @ 1.041320
6 Czech @ 1.198545
7 Croatian @ 1.282928
8 Georgian @ 1.514244
9 Belarusian @ 1.963813
10 Albanian @ 2.077627
11 French @ 2.115413
12 Greek @ 2.397107
13 English @ 2.615810
14 Estonian @ 2.627503
15 Armenian @ 2.691690
16 Abkhasian @ 3.185822
17 Spanish @ 3.271633
18 French_South @ 3.407286
19 Loschbour @ 3.647438
20 Bergamo @ 3.681520

Sent fra min Moto G (5) Plus via Tapatalk

[MercifulServant]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.16
2 E_Eurasian 3.84


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Lithuanian @ 0.000000
2 Hungarian @ 0.274568
3 Ukrainian @ 0.624512
4 Bulgarian @ 1.114490
5 Norwegian @ 1.265331
6 Georgian @ 1.379323
7 Belarusian @ 1.546629
8 Czech @ 1.615664
9 Croatian @ 1.699715
10 Estonian @ 2.210319
11 Albanian @ 2.463235
12 French @ 2.525867
13 Armenian @ 2.617859
14 Greek @ 2.750793
15 Abkhasian @ 2.780035
16 English @ 3.032735
17 Loschbour @ 3.230254
18 Spanish @ 3.556102
19 Georgian_Jew @ 3.576594
20 Assyrian @ 3.732844

Using 2 populations approximation:
1 50% Belarusian +50% Croatian @ 0.000000
2 50% Belarusian +50% Czech @ 0.000000
3 50% Belarusian +50% Norwegian @ 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% French @ 0.000000
8 50% Hungarian +50% Lithuanian @ 0.000000
9 50% Hungarian +50% Ukrainian @ 0.000000
10 50% Lithuanian +50% Lithuanian @ 0.000000
11 50% Lithuanian +50% Ukrainian @ 0.000000
12 50% Norwegian +50% Ukrainian @ 0.000000
13 50% Hungarian +50% Hungarian @ 0.274568
14 50% Chechen +50% Stuttgart @ 0.292381
15 50% French +50% Loschbour @ 0.345741
16 50% Albanian +50% Estonian @ 0.352750
17 50% Bulgarian +50% Ukrainian @ 0.374300
18 50% English +50% Estonian @ 0.413430
19 50% Belarusian +50% French @ 0.418818
20 50% French_South +50% Loschbour @ 0.446712


Using 3 populations approximation:
1 50% Belarusian +25% Belarusian +25% Bergamo @ 0.000000

Done.

[Hulu]

I think this calc picks up strongly on my Arab ancestry xd lowest oracle i've ever gotten also. Im genetically closer to Arab countries than european ones, isn't that weird? xD




It is very good in picking up Yemeni as your first! All the other single populations are too far, which suggest you are of mixed ethnicities and distant ones for that matter. What is your euro part?

[Hulu]

# Population Percent
1 W_Eurasian 94.84
2 SSA 3.17
3 E_Eurasian 1.99






Have you done 23andme? What are your components there? How come you plot so south, you're a Bulgarian right?

[Congolese Rice]

It is very good in picking up Yemeni as your first! All the other single populations are too far, which suggest you are of mixed ethnicities and distant ones for that matter. What is your euro part?

My euro is mixed north, western, a bit of french mediterranean, hispanic, and some slight balkan maybe.

It's basically a mix of German, British, Scottish, Irish, French, Spanish, slight scandinavian maybe as ive been scoring some small percentages of finnish and scandinavian on many tests so it's definitely possible.

But yeah, i am basically half euro-mutt and partially arab and african xD with some slight amerindian, i am very mixed indeed.


also you might find my Eurasia K6 results interesting aswell, it picks up on the BedouinA, Palestinian, and Jordanian very well aswell. check it out
======

gedrosia K6 Oracle

Admix Results (sorted):

# Population Percent
1 West_European_Hunter_Gartherer 30.41
2 Natufian 27.76
3 Sub_Saharan 23.27
4 Ancestral_North_Eurasian 14.79
5 Ancestral_South_Eurasian 2.44
6 East_Asian 1.33


Finished reading population data. 136 populations found.
6 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Moroccan @ 19.871380
2 Algerian @ 20.174858
3 Saharawi @ 23.122150
4 GoyetQ116 @ 26.823126
5 Libyan @ 26.847609
6 Bulgarian @ 27.773024
7 Hungarian @ 27.995491
8 Ukrainian @ 28.135618
9 Croatian @ 28.140676
10 Romanian @ 28.208122
11 Russian @ 28.257662
12 Spanish @ 28.395868
13 Steppe_MLBA @ 28.512733
14 Czech @ 28.758455
15 Scottish @ 28.833349
16 Norwegian @ 28.921560
17 English @ 28.935354
18 French @ 28.993814
19 Finnish @ 29.028639
20 Europe_LNBA @ 29.416973

Using 2 populations approximation:
1 50% Lithuanian +50% Somali @ 6.792937


Using 3 populations approximation:
1 50% Lebanese +25% Mota +25% Motala12 @ 1.228716


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++
1 BedouinA + Hadza + Hungarian_KO1 + Iran_ChL @ 0.000000
2 BedouinA + Hadza + Iran_ChL + WHG @ 0.000000
3 Hadza + Hungarian_KO1 + Iranian_Mazandarani + Palestinian @ 0.000000
4 Hadza + Iranian_Mazandarani + Palestinian + WHG @ 0.000000
5 Armenia_ChL + BedouinA + Hadza + SHG @ 0.437601
6 Hadza + Hungarian_KO1 + Iran_LN + Jordanian @ 0.513155
7 Hadza + Iran_LN + Jordanian + WHG @ 0.513155
8 Hadza + Hungarian_KO1 + Jordanian + Kurd_F @ 0.519687
9 Hadza + Jordanian + Kurd_F + WHG @ 0.519687
10 Hadza + Hungarian_KO1 + Iranian_Shirazi + Palestinian @ 0.571682
11 Hadza + Iranian_Shirazi + Palestinian + WHG @ 0.571682
12 Hadza + Hungarian_KO1 + Jordanian + Kurd_C @ 0.664505
13 Hadza + Jordanian + Kurd_C + WHG @ 0.664505
14 Hadza + Hungarian_KO1 + Iranian_Shirazi + Lebanese @ 0.672246
15 Hadza + Iranian_Shirazi + Lebanese + WHG @ 0.672246
16 Armenia_ChL + BedouinA + Hadza + Motala12 @ 0.717534
17 Hadza + Hungarian_KO1 + Iranian_Mazandarani + Jordanian @ 0.747200
18 Hadza + Iranian_Mazandarani + Jordanian + WHG @ 0.747200
19 Kumyk + Libyan + Masai + SHG @ 0.776222
20 Hadza + Hungarian_KO1 + Iran_ChL + Palestinian @ 0.789241



so far the gedrosia, MDLP, and dodecad tests are the only ones that are accurate for me. I dont know what it is but Eurogenes gives me oracle distances of like 7 on the 4 population approximations, and thats very high for a 4 pop approx. imo

[Kamal900]

Shitty calculator:

Admix Results (sorted):

# Population Percent
1 W_Eurasian 90.34
2 SSA 6.68
3 E_Eurasian 2.98


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Lebanese @ 1.794459
2 Saudi @ 3.832680
3 Syrian @ 3.958471
4 Yemenite_Jew @ 4.510977
5 Iraqi_Jew @ 4.591629
6 Iranian_Jew @ 4.920340
7 Palestinian @ 5.152239
8 Ashkenazi_Jew @ 5.239706
9 Assyrian @ 5.467371
10 Jordanian @ 5.487646
11 Georgian_Jew @ 5.544136
12 Kurd_N @ 6.077532
13 Kurd_C @ 6.151360
14 Armenian @ 6.457428
15 Sicilian @ 6.527375
16 Cypriot @ 6.621253
17 Abkhasian @ 7.539854
18 Georgian @ 7.563459
19 Loschbour @ 8.189863
20 Chechen @ 8.246243

Using 2 populations approximation:
1 50% Iranian_Jew +50% Jordanian @ 0.000000
2 50% Georgian_Jew +50% Palestinian @ 0.278534
3 50% Assyrian +50% Jordanian @ 0.297800
4 50% Armenian +50% Jordanian @ 0.491580
5 50% Iraqi_Jew +50% Syrian @ 0.504421
6 50% Iranian_Jew +50% Syrian @ 0.575822
7 50% Ashkenazi_Jew +50% Jordanian @ 0.576819
8 50% Ashkenazi_Jew +50% Syrian @ 0.628473
9 50% Georgian_Jew +50% Jordanian @ 0.650369
10 50% Assyrian +50% Syrian @ 0.754998
11 50% Kurd_N +50% Yemenite_Jew @ 0.758116
12 50% Iranian_Jew +50% Palestinian @ 0.851325
13 50% Iraqi_Jew +50% Jordanian @ 0.948480
14 50% Georgian +50% Jordanian @ 1.032034
15 50% Kurd_N +50% Palestinian @ 1.033388
16 50% Kurd_N +50% Saudi @ 1.123209
17 50% Abkhasian +50% Palestinian @ 1.195060
18 50% Georgian_Jew +50% Yemenite_Jew @ 1.197295
19 50% BedouinA +50% Lithuanian @ 1.209858
20 50% Georgian_Jew +50% Syrian @ 1.219041


Using 3 populations approximation:
1 50% Abkhasian +25% BedouinA +25% Saudi @ 0.000000

[Congolese Rice]

Shitty calculator:

Admix Results (sorted):

# Population Percent
1 W_Eurasian 90.34
2 SSA 6.68
3 E_Eurasian 2.98


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Lebanese @ 1.794459
2 Saudi @ 3.832680
3 Syrian @ 3.958471
4 Yemenite_Jew @ 4.510977
5 Iraqi_Jew @ 4.591629
6 Iranian_Jew @ 4.920340
7 Palestinian @ 5.152239
8 Ashkenazi_Jew @ 5.239706
9 Assyrian @ 5.467371
10 Jordanian @ 5.487646
11 Georgian_Jew @ 5.544136
12 Kurd_N @ 6.077532
13 Kurd_C @ 6.151360
14 Armenian @ 6.457428
15 Sicilian @ 6.527375
16 Cypriot @ 6.621253
17 Abkhasian @ 7.539854
18 Georgian @ 7.563459
19 Loschbour @ 8.189863
20 Chechen @ 8.246243

Using 2 populations approximation:
1 50% Iranian_Jew +50% Jordanian @ 0.000000
2 50% Georgian_Jew +50% Palestinian @ 0.278534
3 50% Assyrian +50% Jordanian @ 0.297800
4 50% Armenian +50% Jordanian @ 0.491580
5 50% Iraqi_Jew +50% Syrian @ 0.504421
6 50% Iranian_Jew +50% Syrian @ 0.575822
7 50% Ashkenazi_Jew +50% Jordanian @ 0.576819
8 50% Ashkenazi_Jew +50% Syrian @ 0.628473
9 50% Georgian_Jew +50% Jordanian @ 0.650369
10 50% Assyrian +50% Syrian @ 0.754998
11 50% Kurd_N +50% Yemenite_Jew @ 0.758116
12 50% Iranian_Jew +50% Palestinian @ 0.851325
13 50% Iraqi_Jew +50% Jordanian @ 0.948480
14 50% Georgian +50% Jordanian @ 1.032034
15 50% Kurd_N +50% Palestinian @ 1.033388
16 50% Kurd_N +50% Saudi @ 1.123209
17 50% Abkhasian +50% Palestinian @ 1.195060
18 50% Georgian_Jew +50% Yemenite_Jew @ 1.197295
19 50% BedouinA +50% Lithuanian @ 1.209858
20 50% Georgian_Jew +50% Syrian @ 1.219041


Using 3 populations approximation:
1 50% Abkhasian +25% BedouinA +25% Saudi @ 0.000000

it's not the most accurate no, i think its all about the 1st population pop and about the percentages, it's fairly accurate when it comes to general percentages imo.

i think the Eurasia K9 ASI test (rip k9 asi, u will be missed) and Ancient Eurasia K6 + Gedrosia K12 are the most accurate for me so far when it comes to gedrosia tests.

[de Burgh II]

Population
E_Eurasian 3.48 Pct
SSA 0.36 Pct
W_Eurasian 96.16 Pct

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.280180
2 Lithuanian @ 0.358480
3 Bulgarian @ 0.612895
4 Ukrainian @ 0.954449
5 Georgian @ 1.049333
6 Norwegian @ 1.095388
7 Czech @ 1.420762
8 Croatian @ 1.483824
9 Belarusian @ 1.850988
10 Albanian @ 2.098619
11 Armenian @ 2.224426
12 French @ 2.240314
13 Greek @ 2.328777
14 Estonian @ 2.500698
15 English @ 2.783883
16 Abkhasian @ 2.947935
17 Spanish @ 3.071192
18 Assyrian @ 3.331936
19 Georgian_Jew @ 3.423244
20 French_South @ 3.497453

Using 2 populations approximation:
1 50% Abkhasian +50% English @ 0.000000
2 50% Albanian +50% Belarusian @ 0.000000
3 50% Albanian +50% Estonian @ 0.000000
4 50% Belarusian +50% Greek @ 0.000000
5 50% Bergamo +50% Loschbour @ 0.000000
6 50% Bulgarian +50% Hungarian @ 0.000000
7 50% Bulgarian +50% Lithuanian @ 0.000000
8 50% Bulgarian +50% Ukrainian @ 0.000000
9 50% Estonian +50% French @ 0.000000
10 50% Estonian +50% Greek @ 0.000000
11 50% French_South +50% Loschbour @ 0.000000
12 50% Belarusian +50% French @ 0.251404
13 50% Georgian +50% Hungarian @ 0.270546
14 50% Georgian +50% Norwegian @ 0.277412
15 50% Hungarian +50% Hungarian @ 0.280180
16 50% Abkhasian +50% French @ 0.294601
17 50% Georgian +50% Lithuanian @ 0.296249
18 50% Abkhasian +50% French_South @ 0.304760
19 50% Hungarian +50% Lithuanian @ 0.319330
20 50% Norwegian +50% Ukrainian @ 0.324980


Using 3 populations approximation:
1 50% Abkhasian +25% Albanian +25% Bergamo @ 0.000000

[Brás Garcia de Mascarenhas]

This calculator purpose is merely to see how Caucasian one is. People shouldn't take the population approximations on a K3 seriously because they are obviously not accurate.

[Hulu]

This calculator purpose is merely to see how Caucasian one is. People shouldn't take the population approximations on a K3 seriously because they are obviously not accurate.

Can you post yours? It's the populations that make it interesting. It doesnt show admixtures but leanings

[Kamal900]

it's not the most accurate no, i think its all about the 1st population pop and about the percentages, it's fairly accurate when it comes to general percentages imo.

i think the Eurasia K9 ASI test (rip k9 asi, u will be missed) and Ancient Eurasia K6 + Gedrosia K12 are the most accurate for me so far when it comes to gedrosia tests.

It really over-exaggerates my SSA and East-Asian admixture which the latter I lack.

[MysteriousWays]

Eurasia K3 Oracle

Admix Results (sorted):
# Population Percent
1 W_Eurasian 94.03
2 SSA 3.27
3 E_Eurasian 2.70


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Assyrian @ 0.359207
2 Ashkenazi_Jew @ 0.554424
3 Iranian_Jew @ 0.623041
4 Iraqi_Jew @ 1.160463
5 Armenian @ 1.469489
6 Georgian_Jew @ 1.960195
7 Sicilian @ 2.141794
8 Cypriot @ 2.453197
9 Georgian @ 2.688819
10 Bulgarian @ 3.459766
11 Spanish @ 3.574570
12 Abkhasian @ 3.867577
13 Ukrainian @ 3.948254
14 Hungarian @ 4.044007
15 Greek @ 4.069987
16 Belarusian @ 4.093709
17 Lithuanian @ 4.106663
18 Estonian @ 4.280265
19 Albanian @ 4.351643
20 Kurd_N @ 4.418926

Using 2 populations approximation:
1 50% Ashkenazi_Jew +50% Iranian_Jew @ 0.000000
2 50% Assyrian +50% Iranian_Jew @ 0.000000
3 50% Iranian_Jew +50% Iraqi_Jew @ 0.327193
4 50% Assyrian +50% Assyrian @ 0.359207
5 50% Ashkenazi_Jew +50% Assyrian @ 0.445232
6 50% Armenian +50% Iraqi_Jew @ 0.499225
7 50% Georgian_Jew +50% Iraqi_Jew @ 0.503758
8 50% Assyrian +50% Iraqi_Jew @ 0.550244
9 50% Ashkenazi_Jew +50% Ashkenazi_Jew @ 0.554424
10 50% Iranian_Jew +50% Iranian_Jew @ 0.623041
11 50% Cypriot +50% Georgian_Jew @ 0.692304
12 50% Georgian_Jew +50% Sicilian @ 0.712532
13 50% Ashkenazi_Jew +50% Georgian_Jew @ 0.713782
14 50% Iranian_Jew +50% Sicilian @ 0.771354
15 50% Ashkenazi_Jew +50% Iraqi_Jew @ 0.789899
16 50% Armenian +50% Ashkenazi_Jew @ 0.790020
17 50% Armenian +50% Iranian_Jew @ 0.819966
18 50% Cypriot +50% Iranian_Jew @ 0.921607
19 50% Armenian +50% Assyrian @ 0.929611
20 50% Georgian +50% Iraqi_Jew @ 0.945378

[Brás Garcia de Mascarenhas]

Can you post yours? It's the populations that make it interesting. It doesnt show admixtures but leanings

Admix Results (sorted):

# Population Percent
1 W_Eurasian 94.37
2 SSA 2.92
3 E_Eurasian 2.71


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Assyrian @ 0.000000
2 Ashkenazi_Jew @ 0.659043
3 Iranian_Jew @ 0.857250
4 Armenian @ 0.992693
5 Iraqi_Jew @ 1.489663
6 Sicilian @ 1.933101
7 Georgian_Jew @ 1.943859
8 Georgian @ 2.232201
9 Cypriot @ 2.287180
10 Bulgarian @ 2.969407
11 Spanish @ 3.187613
12 Ukrainian @ 3.521665
13 Hungarian @ 3.569313
14 Greek @ 3.611886
15 Lithuanian @ 3.637294
16 Abkhasian @ 3.648669
17 Belarusian @ 3.737134
18 Albanian @ 3.876895
19 Norwegian @ 3.942530
20 Estonian @ 3.974677

Using 2 populations approximation:
1 50% Assyrian +50% Assyrian @ 0.000000
2 50% Cypriot +50% Georgian_Jew @ 0.000000
3 50% Georgian_Jew +50% Sicilian @ 0.000000
4 50% Armenian +50% Ashkenazi_Jew @ 0.258347
5 50% Armenian +50% Iraqi_Jew @ 0.274243
6 50% Assyrian +50% Iranian_Jew @ 0.334343
7 50% Ashkenazi_Jew +50% Assyrian @ 0.414006
8 50% Armenian +50% Assyrian @ 0.438365
9 50% Georgian +50% Iraqi_Jew @ 0.453184
10 50% Ashkenazi_Jew +50% Iranian_Jew @ 0.475737
11 50% Armenian +50% Iranian_Jew @ 0.499366
12 50% Iranian_Jew +50% Sicilian @ 0.549331
13 50% Ashkenazi_Jew +50% Ashkenazi_Jew @ 0.659043
14 50% Ashkenazi_Jew +50% Georgian_Jew @ 0.737641
15 50% Cypriot +50% Iranian_Jew @ 0.786031
16 50% Assyrian +50% Iraqi_Jew @ 0.801466
17 50% Georgian_Jew +50% Iraqi_Jew @ 0.814231
18 50% Ashkenazi_Jew +50% Georgian @ 0.843022
19 50% Iranian_Jew +50% Iranian_Jew @ 0.857250
20 50% Iranian_Jew +50% Iraqi_Jew @ 0.863764


Using 3 populations approximation:
1 50% Abkhasian +25% Stuttgart +25% Yemenite_Jew @ 0.000000

[Tschaikisten]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.22
2 E_Eurasian 3.67


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.000000
3 Ukrainian @ 0.788111
4 Bulgarian @ 0.906067
5 Norwegian @ 1.104300
6 Georgian @ 1.269615
7 Czech @ 1.453592
8 Croatian @ 1.535554
9 Belarusian @ 1.711640
10 Albanian @ 2.261681
11 French @ 2.333971
12 Estonian @ 2.374781
13 Armenian @ 2.497929
14 Greek @ 2.538653
15 English @ 2.868108
16 Abkhasian @ 2.907924
17 Spanish @ 3.339487
18 Loschbour @ 3.394291
19 Georgian_Jew @ 3.573542
20 Assyrian @ 3.610463

Using 2 populations approximation:
1 50% Abkhasian +50% English @ 0.000000
2 50% Albanian +50% Estonian @ 0.000000
3 50% Belarusian +50% Croatian @ 0.000000
4 50% Belarusian +50% Czech @ 0.000000
5 50% Belarusian +50% French @ 0.000000
6 50% English +50% Estonian @ 0.000000
7 50% English +50% Loschbour @ 0.000000
8 50% Estonian +50% French @ 0.000000
9 50% French_South +50% Loschbour @ 0.000000
10 50% Hungarian +50% Hungarian @ 0.000000
11 50% Hungarian +50% Lithuanian @ 0.000000
12 50% Hungarian +50% Ukrainian @ 0.000000
13 50% Lithuanian +50% Lithuanian @ 0.000000
14 50% Norwegian +50% Ukrainian @ 0.000000
15 50% Bergamo +50% Loschbour @ 0.257380
16 50% Bulgarian +50% Ukrainian @ 0.257410
17 50% Belarusian +50% Norwegian @ 0.267820
18 50% Albanian +50% Belarusian @ 0.271530
19 50% Czech +50% Ukrainian @ 0.273071
20 50% Croatian +50% Ukrainian @ 0.288315


Using 3 populations approximation:
1 50% Abkhasian +25% English +25% English @ 0.000000

[Brás Garcia de Mascarenhas]

Mrs. Viriato


Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.85
2 SSA 3.11


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Spanish @ 1.461070
2 Cypriot @ 1.470576
3 Sicilian @ 1.738821
4 Greek @ 2.570904
5 Sardinian @ 2.624482
6 LBK_EN @ 2.801532
7 Albanian @ 3.071208
8 French_South @ 3.128284
9 Bergamo @ 3.187964
10 Ashkenazi_Jew @ 3.350128
11 French @ 3.463259
12 Assyrian @ 3.539451
13 Iraqi_Jew @ 3.562672
14 English @ 3.639096
15 Armenian @ 3.642950
16 Bulgarian @ 3.832719
17 Croatian @ 3.981434
18 Czech @ 4.076725
19 Georgian @ 4.227918
20 Norwegian @ 4.234331

Using 2 populations approximation:
1 50% Cypriot +50% Sardinian @ 0.948350
2 50% Cypriot +50% LBK_EN @ 1.024295
3 50% Sardinian +50% Sicilian @ 1.081565
4 50% Iraqi_Jew +50% LBK_EN @ 1.118100
5 50% Iraqi_Jew +50% Sardinian @ 1.119035
6 50% Cypriot +50% Spanish @ 1.140218
7 50% LBK_EN +50% Sicilian @ 1.150542
8 50% Sicilian +50% Spanish @ 1.330655
9 50% Ashkenazi_Jew +50% Sardinian @ 1.370875
10 50% Bergamo +50% Cypriot @ 1.389930
11 50% Iraqi_Jew +50% Stuttgart @ 1.392911
12 50% Ashkenazi_Jew +50% LBK_EN @ 1.394616
13 50% Cypriot +50% French_South @ 1.427128
14 50% Spanish +50% Spanish @ 1.461070
15 50% Cypriot +50% Cypriot @ 1.470576
16 50% Cypriot +50% Greek @ 1.523259
17 50% Bergamo +50% Sicilian @ 1.541640
18 50% Bergamo +50% Iraqi_Jew @ 1.551830
19 50% French_South +50% Sicilian @ 1.577719
20 50% Cypriot +50% Sicilian @ 1.588257


Using 3 populations approximation:
1 50% LBK_EN +25% Saudi +25% Stuttgart @ 0.000000

[Congolese Rice]

This calculator purpose is merely to see how Caucasian one is. People shouldn't take the population approximations on a K3 seriously because they are obviously not accurate.

Eh, strangely enough for me they are kinda reliable, i got the same results on Ancient Eurasia K6. Only on K6 i have BedouinA, Palestinian, Jordanian etc in the 4th pop approx. and not in the 1st.

[Brás Garcia de Mascarenhas]

Eh, strangely enough for me they are kinda reliable, i got the same results on Ancient Eurasia K6. Only on K6 i have BedouinA, Palestinian, Jordanian etc in the 4th pop approx. and not in the 1st.

Mere coincidence. If anything it shows you the closest populations that share the same levels of West Eurasian\SSA\Asian admixture. Those three indicators are not reliable to show genetic affinity with such populations. I am not genetically close at all to 85% of the populations that show up on this oracle and most members who posted their results are not close as well to the results they got.

[Jana]

Father

Admix Results (sorted):

# Population Percent
1 W_Eurasian 95.64
2 E_Eurasian 3.58


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Georgian @ 0.326532
2 Bulgarian @ 0.918427
3 Ukrainian @ 0.994300
4 Hungarian @ 1.000789
5 Lithuanian @ 1.022879
6 Armenian @ 1.652856
7 Belarusian @ 1.661150
8 Norwegian @ 1.722519
9 Czech @ 2.018479
10 Croatian @ 2.063756
11 Estonian @ 2.237509
12 Albanian @ 2.493369
13 Abkhasian @ 2.511797
14 Greek @ 2.608335
15 French @ 2.731390
16 Georgian_Jew @ 2.753911
17 Assyrian @ 2.767215
18 Iranian_Jew @ 3.039566
19 Spanish @ 3.126909
20 Loschbour @ 3.190107

Using 2 populations approximation:
1 50% Abkhasian +50% Albanian @ 0.000000
2 50% Abkhasian +50% Greek @ 0.000000
3 50% Georgian +50% Hungarian @ 0.000000
4 50% Georgian +50% Lithuanian @ 0.000000
5 50% Loschbour +50% Spanish @ 0.000000
6 50% Greek +50% Loschbour @ 0.276890
7 50% Georgian +50% Ukrainian @ 0.283888
8 50% Estonian +50% Greek @ 0.306419
9 50% Georgian +50% Georgian @ 0.326532
10 50% Abkhasian +50% French @ 0.327867
11 50% Bulgarian +50% Georgian @ 0.358012
12 50% Estonian +50% Spanish @ 0.366259
13 50% Armenian +50% Lithuanian @ 0.381742
14 50% Armenian +50% Hungarian @ 0.454648
15 50% Armenian +50% Ukrainian @ 0.456465
16 50% Czech +50% Georgian_Jew @ 0.468699
17 50% Croatian +50% Georgian_Jew @ 0.483252
18 50% Kurd_N +50% Stuttgart @ 0.533076
19 50% Chechen +50% LBK_EN @ 0.535560
20 50% Georgian_Jew +50% Norwegian @ 0.543773


Using 3 populations approximation:
1 50% Abkhasian +25% Albanian +25% Albanian @ 0.000000

Mother

Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.41
2 E_Eurasian 3.43


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.267746
3 Bulgarian @ 0.705958
4 Norwegian @ 0.800927
5 Ukrainian @ 1.096820
6 Czech @ 1.148493
7 Croatian @ 1.229053
8 Georgian @ 1.370782
9 Albanian @ 1.954094
10 Belarusian @ 2.020164
11 French @ 2.025288
12 Greek @ 2.245916
13 Armenian @ 2.517531
14 English @ 2.560739
15 Estonian @ 2.683080
16 Spanish @ 3.089104
17 Abkhasian @ 3.201726
18 French_South @ 3.318103
19 Bergamo @ 3.594834
20 Assyrian @ 3.616410

Using 2 populations approximation:
1 50% Albanian +50% Belarusian @ 0.000000
2 50% Belarusian +50% English @ 0.000000
3 50% Belarusian +50% French @ 0.000000
4 50% Bergamo +50% Loschbour @ 0.000000
5 50% Bulgarian +50% Hungarian @ 0.000000
6 50% Bulgarian +50% Lithuanian @ 0.000000
7 50% Croatian +50% Ukrainian @ 0.000000
8 50% Czech +50% Ukrainian @ 0.000000
9 50% English +50% Estonian @ 0.000000
10 50% Estonian +50% French @ 0.000000
11 50% French_South +50% Loschbour @ 0.000000
12 50% Hungarian +50% Hungarian @ 0.000000
13 50% Hungarian +50% Lithuanian @ 0.000000
14 50% Norwegian +50% Ukrainian @ 0.000000
15 50% Lithuanian +50% Norwegian @ 0.261475
16 50% Lithuanian +50% Lithuanian @ 0.267746
17 50% Estonian +50% French_South @ 0.279604
18 50% Hungarian +50% Norwegian @ 0.287178
19 50% Abkhasian +50% English @ 0.309174
20 50% Belarusian +50% Croatian @ 0.335896


Using 3 populations approximation:
1 50% Abkhasian +25% Croatian +25% Stuttgart @ 0.000000

Stears
Admix Results (sorted):

# Population Percent
1 W_Eurasian 94.27
2 E_Eurasian 5.51


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Estonian @ 0.331665
2 Abkhasian @ 0.447757
3 Loschbour @ 0.725681
4 Belarusian @ 0.987875
5 Ukrainian @ 1.902339
6 Georgian @ 2.501602
7 Georgian_Jew @ 2.531657
8 Lithuanian @ 2.730582
9 Hungarian @ 2.855919
10 Kurd_N @ 2.970079
11 Armenian @ 3.246983
12 Bulgarian @ 3.304901
13 Chechen @ 3.534560
14 Iranian_Jew @ 3.707016
15 Norwegian @ 3.789839
16 Assyrian @ 4.061132
17 Czech @ 4.139504
18 Croatian @ 4.221404
19 Ashkenazi_Jew @ 4.550369
20 Albanian @ 4.864808

Using 2 populations approximation:
1 50% Abkhasian +50% Estonian @ 0.000000
2 50% Adygei +50% English @ 0.000000
3 50% Adygei +50% French @ 0.000000
4 50% Belarusian +50% Loschbour @ 0.000000
5 50% Chechen +50% Czech @ 0.000000
6 50% Chechen +50% Norwegian @ 0.000000
7 50% Russian +50% Stuttgart @ 0.000000
8 50% Estonian +50% Loschbour @ 0.251667
9 50% Chechen +50% Croatian @ 0.261513
10 50% Chechen +50% Hungarian @ 0.262417
11 50% Bulgarian +50% Chechen @ 0.266619
12 50% Bergamo +50% Mordovian @ 0.278137
13 50% Finnish +50% Stuttgart @ 0.281960
14 50% Chechen +50% Lithuanian @ 0.327267
15 50% Estonian +50% Estonian @ 0.331665
16 50% LBK_EN +50% Mordovian @ 0.350419
17 50% Mordovian +50% Stuttgart @ 0.367912
18 50% Abkhasian +50% Belarusian @ 0.404273
19 50% Abkhasian +50% Loschbour @ 0.441647
20 50% Abkhasian +50% Abkhasian @ 0.447757


Using 3 populations approximation:
1 50% Abkhasian +25% Abkhasian +25% Belarusian @ 0.000000

Me

Admix Results (sorted):

# Population Percent
1 W_Eurasian 97.37
2 E_Eurasian 2.63


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Croatian @ 0.000000
2 Czech @ 0.000000
3 Norwegian @ 0.444658
4 French @ 0.884697
5 Albanian @ 1.047167
6 Bulgarian @ 1.301153
7 English @ 1.325171
8 Hungarian @ 1.378583
9 Lithuanian @ 1.505499
10 Greek @ 1.519728
11 French_South @ 2.162868
12 Ukrainian @ 2.333490
13 Georgian @ 2.394224
14 Bergamo @ 2.428801
15 Spanish @ 2.626019
16 Sardinian @ 3.221580
17 LBK_EN @ 3.229736
18 Belarusian @ 3.256295
19 Armenian @ 3.266414
20 Stuttgart @ 3.718606

Using 2 populations approximation:
1 50% Belarusian +50% Stuttgart @ 0.000000
2 50% Croatian +50% Croatian @ 0.000000
3 50% Croatian +50% Czech @ 0.000000
4 50% Croatian +50% Norwegian @ 0.000000
5 50% Czech +50% Czech @ 0.000000
6 50% Czech +50% Norwegian @ 0.000000
7 50% English +50% Hungarian @ 0.000000
8 50% English +50% Lithuanian @ 0.000000
9 50% Estonian +50% Stuttgart @ 0.000000
10 50% French +50% Norwegian @ 0.000000
11 50% French +50% Hungarian @ 0.314697
12 50% Bergamo +50% Ukrainian @ 0.324250
13 50% Czech +50% French @ 0.336301
14 50% French +50% Lithuanian @ 0.340401
15 50% Albanian +50% Norwegian @ 0.362550
16 50% Croatian +50% French @ 0.379751
17 50% French_South +50% Ukrainian @ 0.418970
18 50% English +50% Norwegian @ 0.442195
19 50% Norwegian +50% Norwegian @ 0.444658
20 50% French_South +50% Lithuanian @ 0.450684


Using 3 populations approximation:
1 50% Belarusian +25% Bergamo +25% Stuttgart @ 0.000000

[Jackson78]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 95.82
2 E_Eurasian 4.18

Least-squares method.

Using 1 population approximation:
1 Ukrainian @ 0.000000
2 Lithuanian @ 0.684941
3 Hungarian @ 0.814929
4 Belarusian @ 1.065855
5 Georgian @ 1.370645
6 Bulgarian @ 1.484611
7 Estonian @ 1.729545
8 Norwegian @ 1.746082
9 Czech @ 2.096395
10 Croatian @ 2.180219
11 Abkhasian @ 2.317419
12 Armenian @ 2.614024
13 Loschbour @ 2.749480
14 Albanian @ 2.918412
15 French @ 3.001188
16 Greek @ 3.177551
17 Georgian_Jew @ 3.295494
18 English @ 3.513286
19 Assyrian @ 3.717165
20 Iranian_Jew @ 3.867505

Using 2 populations approximation:
1 50% Belarusian +50% Hungarian @ 0.000000
2 50% Belarusian +50% Lithuanian @ 0.000000
3 50% Belarusian +50% Norwegian @ 0.000000
4 50% Chechen +50% Stuttgart @ 0.000000
5 50% Croatian +50% Estonian @ 0.000000
6 50% Croatian +50% Loschbour @ 0.000000
7 50% Czech +50% Estonian @ 0.000000
8 50% Czech +50% Loschbour @ 0.000000
9 50% Estonian +50% Norwegian @ 0.000000
10 50% French +50% Loschbour @ 0.000000
11 50% Lithuanian +50% Ukrainian @ 0.000000
12 50% Ukrainian +50% Ukrainian @ 0.000000
13 50% Hungarian +50% Ukrainian @ 0.268877
14 50% Abkhasian +50% Czech @ 0.299350
15 50% English +50% Loschbour @ 0.304926
16 50% Abkhasian +50% Croatian @ 0.327550
17 50% Belarusian +50% Bulgarian @ 0.350600
18 50% Albanian +50% Loschbour @ 0.352750
19 50% Abkhasian +50% Norwegian @ 0.426750
20 50% Estonian +50% Hungarian @ 0.459152


Using 3 populations approximation:
1 50% Belarusian +25% Belarusian +25% Croatian @ 0.000000

[Levant15]

Such an imaginary Calculator that makes me European and at the same time it likes to throw in sh#t load of SSA to everyone.
According to this I'm closer to Norwegians than Saudis. Lol?


#PopulationPercent
1W_Eurasian95.40
2SSA3.64


--------------------------------

Least-squares method.

Using 1 population approximation:
1 Cypriot @ 0.299950
2 Sicilian @ 0.506181
3 Ashkenazi_Jew @ 1.662043
4 Iraqi_Jew @ 1.761907
5 Assyrian @ 2.004758
6 Spanish @ 2.225196
7 Armenian @ 2.558634
8 Iranian_Jew @ 2.891194
9 Greek @ 3.227288
10 Georgian @ 3.573972
11 Bulgarian @ 3.685324
12 Albanian @ 3.688963
13 Georgian_Jew @ 4.093928
14 French @ 4.168659
15 Sardinian @ 4.197072
16 French_South @ 4.353849
17 Croatian @ 4.355103
18 LBK_EN @ 4.367358
19 Czech @ 4.421133
20 Norwegian @ 4.442987

Sent from my FRD-L04 using Tapatalk

[Congolese Rice]

Mere coincidence. If anything it shows you the closest populations that share the same levels of West Eurasian\SSA\Asian admixture. Those three indicators are not reliable to show genetic affinity with such populations. I am not genetically close at all to 85% of the populations that show up on this oracle and most members who posted their results are not close as well to the results they got.

ur correct lol. But in my case i have definite MENA admix, and im thinking its either from Egypt or Yemen/Saudi Arabia, most likely Yemen. But i also score alot of West asian populations like Kurdish, Iranian, etc

[Dick]

How does this calculator calculate the populations sine some of us have similar mixture but different pops

[Thambi]

I think this calc is quite decent. Guess it depends by ethnicity as well as though due to the oracles. the oracles are decent for south asians, dont know about euros.

Admix Results (sorted):

# Population Percent
1 W_Eurasian 56.21
2 E_Eurasian 41.59
3 SSA 2.20


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Kanjar @ 0.699227
2 UP_Muslim @ 1.115157
3 Malli @ 1.487756
4 Velama @ 1.597507
5 GujaratiD @ 1.691982
6 Hazara_Afghan @ 2.706728
7 UP_Kol @ 3.176677
8 UP_Caste @ 4.348033
9 Uzbek @ 4.582816
10 Kurumba @ 4.671978
11 Jains @ 5.484818
12 Turkmen_Afghan @ 5.648418
13 Tamil_Brahmin @ 6.154799
14 GujaratiC @ 6.214738
15 Meghawal @ 6.642073
16 Punjabi @ 7.406503
17 Piramalai @ 7.574145
18 Tharu @ 7.820891
19 Kallar @ 7.831869
20 Bhil @ 8.008797

Using 2 populations approximation:
1 50% Balkar +50% Great_Andamanese @ 0.000000
2 50% Balkar +50% Kharia @ 0.000000
3 50% Hazara +50% Kurd_SE @ 0.000000
4 50% Kattunayakkan +50% Tajik @ 0.000000
5 50% Madiga +50% Tajik_Afghan @ 0.000000
6 50% Nihali +50% Pashtun_Afghan @ 0.000000
7 50% Piramalai +50% Punjabi @ 0.000000
8 50% Punjabi +50% Tharu @ 0.267754
9 50% GujaratiD +50% Malli @ 0.297966
10 50% GujaratiD +50% Velama @ 0.314434
11 50% Hallkipiki +50% Turkmen @ 0.331683
12 50% Kanjar +50% Malli @ 0.342854
13 50% Jains +50% Kurumba @ 0.364902
14 50% Meghawal +50% Piramalai @ 0.461785
15 50% Kattunayakkan +50% Pathan @ 0.530283
16 50% Mala +50% Turkmen @ 0.562641
17 50% Madiga +50% Turkmen @ 0.564971
18 50% UP_Chamar +50% Vaish @ 0.576864
19 50% Paniyas +50% Tajik_Pomiri @ 0.582244
20 50% Meghawal +50% Tharu @ 0.586035


Using 3 populations approximation:
1 50% Adygei +25% Altaian +25% Onge @ 0.000000

[Congolese Rice]

I think this calc is quite decent. Guess it depends by ethnicity as well as though due to the oracles. the oracles are decent for south asians, dont know about euros.

Admix Results (sorted):

# Population Percent
1 W_Eurasian 56.21
2 E_Eurasian 41.59
3 SSA 2.20


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Kanjar @ 0.699227
2 UP_Muslim @ 1.115157
3 Malli @ 1.487756
4 Velama @ 1.597507
5 GujaratiD @ 1.691982
6 Hazara_Afghan @ 2.706728
7 UP_Kol @ 3.176677
8 UP_Caste @ 4.348033
9 Uzbek @ 4.582816
10 Kurumba @ 4.671978
11 Jains @ 5.484818
12 Turkmen_Afghan @ 5.648418
13 Tamil_Brahmin @ 6.154799
14 GujaratiC @ 6.214738
15 Meghawal @ 6.642073
16 Punjabi @ 7.406503
17 Piramalai @ 7.574145
18 Tharu @ 7.820891
19 Kallar @ 7.831869
20 Bhil @ 8.008797

Using 2 populations approximation:
1 50% Balkar +50% Great_Andamanese @ 0.000000
2 50% Balkar +50% Kharia @ 0.000000
3 50% Hazara +50% Kurd_SE @ 0.000000
4 50% Kattunayakkan +50% Tajik @ 0.000000
5 50% Madiga +50% Tajik_Afghan @ 0.000000
6 50% Nihali +50% Pashtun_Afghan @ 0.000000
7 50% Piramalai +50% Punjabi @ 0.000000
8 50% Punjabi +50% Tharu @ 0.267754
9 50% GujaratiD +50% Malli @ 0.297966
10 50% GujaratiD +50% Velama @ 0.314434
11 50% Hallkipiki +50% Turkmen @ 0.331683
12 50% Kanjar +50% Malli @ 0.342854
13 50% Jains +50% Kurumba @ 0.364902
14 50% Meghawal +50% Piramalai @ 0.461785
15 50% Kattunayakkan +50% Pathan @ 0.530283
16 50% Mala +50% Turkmen @ 0.562641
17 50% Madiga +50% Turkmen @ 0.564971
18 50% UP_Chamar +50% Vaish @ 0.576864
19 50% Paniyas +50% Tajik_Pomiri @ 0.582244
20 50% Meghawal +50% Tharu @ 0.586035


Using 3 populations approximation:
1 50% Adygei +25% Altaian +25% Onge @ 0.000000

i think this calc is better for asian, or asian admixed people. If you have even the slightest bit of Arabian, west asian, or turkic ancestry this calculator will probably pick up on it fairly well. It estimated mine pretty good so far as far as i know, Yemen on a oracle distance of 6.98 or so, BedouinA on a oracle distance of 16 or so, and then palestinian. Pretty decent.

[Brás Garcia de Mascarenhas]

How does this calculator calculate the populations sine some of us have similar mixture but different pops

Same way as others do probably. The algorithm places you next to the samples that share more proximity with your average scores for west eurasian, east asian and ssa.

Thing is, there are ethnic groups that share the same levels of those three main components despite being completely unrelated to one another hence why the oracles on this run are not accurate for most people if your aim is to see with whom you have more genetic affinity.

[oszkar07]

i think this calc is better for asian, or asian admixed people. If you have even the slightest bit of Arabian, west asian, or turkic ancestry this calculator will probably pick up on it fairly well. It estimated mine pretty good so far as far as i know, Yemen on a oracle distance of 6.98 or so, BedouinA on a oracle distance of 16 or so, and then palestinian. Pretty decent.

Agree.
It is not very accurate calculator for European people IMO.
Sometimes it can be accurate in first population for some Europeans, but very hit and miss as many times it allocates population in 1st position that in reality is not close to the person at all.

[firemonkey]

British.

My heritage


E_Eurasian 3.99
SSA 0.75
W_Eurasian 95.26


Using 1 population approximation:
1 Georgian @ 0.629118
2 Ukrainian @ 0.861171
3 Belarusian @ 1.200700
4 Lithuanian @ 1.312284
5 Hungarian @ 1.347121
6 Bulgarian @ 1.471532
7 Estonian @ 1.729760
8 Armenian @ 1.758698
9 Abkhasian @ 1.956960
10 Norwegian @ 2.192864
11 Georgian_Jew @ 2.401697
12 Czech @ 2.511100
13 Croatian @ 2.566747
14 Loschbour @ 2.651682
15 Assyrian @ 2.828135
16 Iranian_Jew @ 2.921158
17 Albanian @ 3.047393
18 Greek @ 3.162736
19 French @ 3.270184
20 Ashkenazi_Jew @ 3.300805

Using 2 populations approximation:
1 50% Abkhasian +50% Bulgarian @ 0.000000
2 50% Belarusian +50% Georgian @ 0.000000
3 50% Chechen +50% LBK_EN @ 0.000000
4 50% Chechen +50% Sardinian @ 0.000000
5 50% English +50% Kurd_N @ 0.000000
6 50% Georgian +50% Ukrainian @ 0.293228
7 50% Greek +50% Loschbour @ 0.321075
8 50% Bulgarian +50% Estonian @ 0.394478
9 50% Armenian +50% Belarusian @ 0.421218
10 50% Abkhasian +50% Norwegian @ 0.452778
11 50% Bergamo +50% Chechen @ 0.462108
12 50% Loschbour +50% Spanish @ 0.496308
13 50% Armenian +50% Ukrainian @ 0.512886
14 50% Estonian +50% Georgian @ 0.515859
15 50% Chechen +50% French_South @ 0.541600
16 50% Abkhasian +50% Albanian @ 0.552828
17 50% Albanian +50% Loschbour @ 0.555396
18 50% Georgian_Jew +50% Norwegian @ 0.555678
19 50% Georgian_Jew +50% Lithuanian @ 0.556704
20 50% French +50% Kurd_N @ 0.557283


Using 3 populations approximation:
1 50% Abkhasian +25% Abkhasian +25% LBK_EN @ 0.000000



Ancestry

E_Eurasian 3.79
SSA 0.75
W_Eurasian 95.46


Least-squares method.

Using 1 population approximation:
1 Georgian @ 0.476269
2 Ukrainian @ 0.840933
3 Hungarian @ 1.114741
4 Lithuanian @ 1.124431
5 Bulgarian @ 1.188658
6 Belarusian @ 1.422358
7 Armenian @ 1.700554
8 Norwegian @ 1.938835
9 Estonian @ 1.977329
10 Abkhasian @ 2.239533
11 Czech @ 2.248936
12 Croatian @ 2.300626
13 Georgian_Jew @ 2.585508
14 Albanian @ 2.764422
15 Assyrian @ 2.801332
16 Greek @ 2.882398
17 Loschbour @ 2.920012
18 Iranian_Jew @ 2.986429
19 French @ 2.991313
20 Ashkenazi_Jew @ 3.259489

Using 2 populations approximation:
1 50% Abkhasian +50% Albanian @ 0.000000
2 50% Chechen +50% LBK_EN @ 0.000000
3 50% Chechen +50% Sardinian @ 0.000000
4 50% Georgian +50% Ukrainian @ 0.000000
5 50% Greek +50% Loschbour @ 0.000000
6 50% Abkhasian +50% Greek @ 0.261353
7 50% Loschbour +50% Spanish @ 0.270507
8 50% Armenian +50% Ukrainian @ 0.340056
9 50% Albanian +50% Loschbour @ 0.394794
10 50% Belarusian +50% Bulgarian @ 0.396944
11 50% Georgian +50% Lithuanian @ 0.398842
12 50% Georgian_Jew +50% Norwegian @ 0.401656
13 50% English +50% Kurd_N @ 0.402763
14 50% Belarusian +50% Georgian @ 0.414595
15 50% Abkhasian +50% Croatian @ 0.419994
16 50% Georgian +50% Georgian @ 0.476269
17 50% Abkhasian +50% French @ 0.498447
18 50% Georgian +50% Hungarian @ 0.502730
19 50% Czech +50% Georgian_Jew @ 0.511408
20 50% Abkhasian +50% Czech @ 0.529422



FTDNA

E_Eurasian 3.91
SSA 0.72
W_Eurasian 95.37


Least-squares method.

Using 1 population approximation:
1 Georgian @ 0.577760
2 Ukrainian @ 0.823499
3 Lithuanian @ 1.176268
4 Hungarian @ 1.221217
5 Belarusian @ 1.291214
6 Bulgarian @ 1.334119
7 Armenian @ 1.755838
8 Estonian @ 1.833127
9 Norwegian @ 2.055493
10 Abkhasian @ 2.092845
11 Czech @ 2.372128
12 Croatian @ 2.427125
13 Georgian_Jew @ 2.512262
14 Loschbour @ 2.771186
15 Assyrian @ 2.842983
16 Albanian @ 2.910132
17 Iranian_Jew @ 2.980146
18 Greek @ 3.031621
19 French @ 3.130075
20 Ashkenazi_Jew @ 3.308979

Using 2 populations approximation:
1 50% Chechen +50% LBK_EN @ 0.000000
2 50% Chechen +50% Sardinian @ 0.000000
3 50% Georgian +50% Ukrainian @ 0.000000
4 50% Greek +50% Loschbour @ 0.000000
5 50% Belarusian +50% Georgian @ 0.297977
6 50% Abkhasian +50% Bulgarian @ 0.311479
7 50% Abkhasian +50% Albanian @ 0.333145
8 50% English +50% Kurd_N @ 0.408896
9 50% Loschbour +50% Spanish @ 0.444120
10 50% Abkhasian +50% Greek @ 0.459382
11 50% Albanian +50% Loschbour @ 0.464636
12 50% Bulgarian +50% Estonian @ 0.464967
13 50% Armenian +50% Ukrainian @ 0.472156
14 50% Abkhasian +50% Croatian @ 0.477563
15 50% Belarusian +50% Bulgarian @ 0.491128
16 50% Abkhasian +50% Czech @ 0.492936
17 50% Bergamo +50% Chechen @ 0.515019
18 50% Armenian +50% Belarusian @ 0.515480
19 50% Abkhasian +50% Norwegian @ 0.518643
20 50% Georgian_Jew +50% Norwegian @ 0.521283


Using 3 populations approximation:
1 50% Abkhasian +25% Abkhasian +25% LBK_EN @ 0.000000



23andMe

E_Eurasian 4.34
SSA 0.40
W_Eurasian 95.26


Using 1 population approximation:
1 Ukrainian @ 0.561595
2 Belarusian @ 0.717980
3 Georgian @ 1.112861
4 Lithuanian @ 1.290798
5 Estonian @ 1.316550
6 Hungarian @ 1.379497
7 Abkhasian @ 1.707491
8 Bulgarian @ 1.758427
9 Armenian @ 2.233474
10 Loschbour @ 2.294461
11 Norwegian @ 2.302489
12 Georgian_Jew @ 2.613581
13 Czech @ 2.643366
14 Croatian @ 2.714632
15 Assyrian @ 3.282496
16 Iranian_Jew @ 3.299885
17 Albanian @ 3.316997
18 French @ 3.481271
19 Greek @ 3.489430
20 Ashkenazi_Jew @ 3.761496

Using 2 populations approximation:
1 50% Abkhasian +50% Bulgarian @ 0.000000
2 50% Abkhasian +50% Hungarian @ 0.000000
3 50% Abkhasian +50% Lithuanian @ 0.000000
4 50% Abkhasian +50% Norwegian @ 0.000000
5 50% Belarusian +50% Georgian @ 0.000000
6 50% Bergamo +50% Chechen @ 0.000000
7 50% Bulgarian +50% Estonian @ 0.000000
8 50% Bulgarian +50% Loschbour @ 0.000000
9 50% Chechen +50% French_South @ 0.000000
10 50% Estonian +50% Georgian @ 0.250954
11 50% Adygei +50% Stuttgart @ 0.265108
12 50% Estonian +50% Hungarian @ 0.362597
13 50% Loschbour +50% Norwegian @ 0.391947
14 50% Estonian +50% Lithuanian @ 0.401747
15 50% Abkhasian +50% Czech @ 0.456379
16 50% Belarusian +50% Ukrainian @ 0.457051
17 50% Chechen +50% LBK_EN @ 0.465659
18 50% Croatian +50% Loschbour @ 0.490196
19 50% Abkhasian +50% Croatian @ 0.494858
20 50% Czech +50% Loschbour @ 0.501175


Using 3 populations approximation:
1 50% Abkhasian +25% Abkhasian +25% Bergamo @ 0.000000

[Gangrel]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 86.12
2 E_Eurasian 12.74
3 SSA 1.14


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Balkar @ 1.360154
2 Turkish @ 1.733573
3 Russian @ 3.232862
4 Iranian @ 3.624996
5 Finnish @ 3.68315
6 Mordovian @ 3.906686
7 Adygei @ 5.617704
8 Kurd_C @ 6.228177
9 Chechen @ 7.414957
10 Kurd_N @ 8.676025
11 Tajik_Pomiri @ 9.303118
12 Makrani @ 9.37487
13 Brahui @ 9.702494
14 Balochi @ 10.052949
15 Loschbour @ 10.263605
16 Abkhasian @ 10.728323
17 Georgian_Jew @ 11.245158
18 Estonian @ 11.273224
19 Belarusian @ 11.933071
20 Iranian_Jew @ 12.322171

Using 2 populations approximation:
1 50% Greek +50% Pashtun_Afghan @ 0.289913
2 50% Kurd_N +50% Tajik_Pomiri @ 0.320332
3 50% Sardinian +50% Tajik @ 0.365786
4 50% Pashtun_Afghan +50% Spanish @ 0.382598
5 50% LBK_EN +50% Tajik @ 0.42497
6 50% Armenian +50% Kalash @ 0.442323
7 50% Albanian +50% Pashtun_Afghan @ 0.51181
8 50% Balochi +50% Loschbour @ 0.535397
9 50% French_South +50% Pathan @ 0.547709
10 50% Pathan +50% Sardinian @ 0.555062
11 50% Greek +50% Pathan @ 0.567094
12 50% Pathan +50% Spanish @ 0.579229
13 50% Bergamo +50% Pathan @ 0.602071
14 50% LBK_EN +50% Pathan @ 0.615185
15 50% Brahui +50% Loschbour @ 0.702709
16 50% Assyrian +50% Kalash @ 0.72481
17 50% Albanian +50% Pathan @ 0.736652
18 50% French +50% Pashtun_Afghan @ 0.747395
19 50% Kalash +50% Sicilian @ 0.760756
20 50% Georgian +50% Kalash @ 0.780224


Using 3 populations approximation:
1 50% Georgian +25% Tajik_Afghan +25% Turkish @ 0.000000

[happycow]

Using 1 population approximation:
1 Jordanian @ 0.762550
2 Syrian @ 0.915067
3 Palestinian @ 2.160427
4 Lebanese @ 3.131903
5 Saudi @ 3.296868
6 Yemenite_Jew @ 3.489329
7 BedouinA @ 6.468184
8 Kurd_C @ 8.875108
9 Iraqi_Jew @ 9.354934
10 Iranian @ 9.604140
11 Iranian_Jew @ 9.756327
12 Ashkenazi_Jew @ 10.057471
13 Kurd_N @ 10.144092
14 Georgian_Jew @ 10.248456
15 Assyrian @ 10.304847
16 Sicilian @ 11.241508
17 Cypriot @ 11.281732
18 Armenian @ 11.296649
19 Turkish @ 11.674489
20 Chechen @ 11.951599

Using 2 populations approximation:
1 50% Jordanian +50% Syrian @ 0.000000
2 50% Norwegian +50% Yemen @ 0.264364
3 50% Czech +50% Yemen @ 0.271415
4 50% Croatian +50% Yemen @ 0.299615
5 50% French +50% Yemen @ 0.692621
6 50% Hungarian +50% Yemen @ 0.702180
7 50% Lithuanian +50% Yemen @ 0.736326
8 50% Jordanian +50% Jordanian @ 0.762550
9 50% Albanian +50% Yemen @ 0.835611
10 50% Bulgarian +50% Yemen @ 0.842691
11 50% English +50% Yemen @ 0.845517
12 50% Syrian +50% Syrian @ 0.915067
13 50% Palestinian +50% Syrian @ 1.070906
14 50% Greek +50% Yemen @ 1.074228
15 50% Ukrainian +50% Yemen @ 1.133388
16 50% French_South +50% Yemen @ 1.294532
17 50% Jordanian +50% Lebanese @ 1.307182
18 50% Jordanian +50% Palestinian @ 1.311063
19 50% Georgian +50% Yemen @ 1.316938
20 50% Bergamo +50% Yemen @ 1.416332


Using 3 populations approximation:
1 50% BedouinA +25% Chechen +25% Syrian @ 0.000000

[Ritz06]

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


Using 3 populations approximation:
1 50% Abkhasian +25% Balkar +25% Kurd_N @ 0.000000

[GreentheViper]

Weird calculator, but interesting



Admix Results (sorted):

# Population Percent
1 W_Eurasian 69.36
2 E_Eurasian 29.86


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 GujaratiA @ 0.281235
2 Kshatriya @ 1.150255
3 Kashmiri_Pandit @ 1.919602
4 Uzbek_Afghan @ 2.071695
5 Sindhi @ 2.795473
6 Tajik_Afghan @ 3.874933
7 Turkmen @ 4.448524
8 Kurd_SE @ 4.546040
9 GujaratiB @ 5.716325
10 UP_Brahmin @ 5.750832
11 Tajik @ 5.790475
12 Burusho @ 5.810206
13 Pathan @ 7.118773
14 Pashtun_Afghan @ 8.459031
15 Vaish @ 8.506957
16 Kalash @ 9.968904
17 Punjabi @ 10.300222
18 Meghawal @ 11.038815
19 GujaratiC @ 11.579931
20 Tamil_Brahmin @ 11.592970

Using 2 populations approximation:
1 50% Bengali +50% Finnish @ 0.000000
2 50% Bengali +50% Mordovian @ 0.000000
3 50% Burusho +50% Tajik @ 0.000000
4 50% GujaratiB +50% Tajik @ 0.000000
5 50% Kalash +50% Punjabi @ 0.000000
6 50% Tajik +50% UP_Brahmin @ 0.000000
7 50% Mordovian +50% UP_Chamar @ 0.264293
8 50% GujaratiA +50% GujaratiA @ 0.281235
9 50% Bengali +50% Russian @ 0.362316
10 50% Bulgarian +50% Hazara @ 0.369357
11 50% Finnish +50% UP_Chamar @ 0.412975
12 50% Georgian +50% Hazara @ 0.524893
13 50% Kalash +50% Meghawal @ 0.530867
14 50% Kashmiri_Pandit +50% Sindhi @ 0.558287
15 50% Russian +50% UP_Chamar @ 0.562939
16 50% Sindhi +50% Uzbek_Afghan @ 0.570280
17 50% Pashtun_Afghan +50% Vaish @ 0.594220
18 50% Kamsali +50% Mordovian @ 0.600643
19 50% Armenian +50% Hazara @ 0.633696
20 50% Burusho +50% Pathan @ 0.654463


Using 3 populations approximation:
1 50% Abkhasian +25% Ami +25% Kurd_C @ 0.000000

[Pausanias]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 97.09
2 SSA 2.31


Finished reading population data. 129 populations found.
3 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Spanish @ 0.507486
2 Greek @ 1.554637
3 Cypriot @ 1.798629
4 Sicilian @ 1.872624
5 Sardinian @ 2.022729
6 Albanian @ 2.064703
7 LBK_EN @ 2.188684
8 French_South @ 2.237849
9 Bergamo @ 2.346965
10 French @ 2.454375
11 English @ 2.653519
12 Bulgarian @ 2.966292
13 Croatian @ 2.980030
14 Czech @ 3.080202
15 Armenian @ 3.215320
16 Norwegian @ 3.267500
17 Ashkenazi_Jew @ 3.381266
18 Assyrian @ 3.431103
19 Georgian @ 3.537075
20 Stuttgart @ 3.755585

Using 2 populations approximation:
1 50% Cypriot +50% LBK_EN @ 0.000000
2 50% Cypriot +50% Sardinian @ 0.000000
3 50% LBK_EN +50% Sicilian @ 0.000000
4 50% Sardinian +50% Sicilian @ 0.000000
5 50% Bergamo +50% Cypriot @ 0.306618
6 50% Iraqi_Jew +50% Stuttgart @ 0.351360
7 50% Cypriot +50% French_South @ 0.428651
8 50% Spanish +50% Spanish @ 0.507486
9 50% Bergamo +50% Sicilian @ 0.536913
10 50% French_South +50% Sicilian @ 0.608307
11 50% Ashkenazi_Jew +50% LBK_EN @ 0.720267
12 50% Ashkenazi_Jew +50% Sardinian @ 0.764413
13 50% Ashkenazi_Jew +50% Stuttgart @ 0.803074
14 50% Iraqi_Jew +50% LBK_EN @ 0.827473
15 50% Assyrian +50% LBK_EN @ 0.837648
16 50% Cypriot +50% English @ 0.854313
17 50% Assyrian +50% Sardinian @ 0.874630
18 50% Cypriot +50% Greek @ 0.881939
19 50% Iraqi_Jew +50% Sardinian @ 0.904261
20 50% Cypriot +50% Spanish @ 0.952207


Using 3 populations approximation:
1 50% Cypriot +25% French_South +25% LBK_EN @ 0.000000