Post your Gedrosia K3 results

[Peterski]

My results:

Population
E_Eurasian 2.83
SSA -
W_Eurasian 97.17

[Nurzat]

My results:

Population
E_Eurasian 2.83
SSA -
W_Eurasian 97.17

https://scontent.fsbz1-2.fna.fbcdn.net/v/t1.0-9/15319188_10206310033589587_1271332809345198286_n.j pg?oh=0625226022129f6fce286a68a5c03555&oe=58C6BDDE

[Hadouken]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 89.09
2 E_Eurasian 8.72
3 SSA 2.19


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

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

Least-squares method.

Using 1 population approximation:
1 Kurd_C @ 1.255866
2 Adygei @ 2.309743
3 Iranian @ 2.690740
4 Mordovian @ 2.967991
5 Finnish @ 3.086795
6 Russian @ 3.325929
7 Chechen @ 3.348945
8 Turkish @ 3.412684
9 Kurd_N @ 3.731224
10 Balkar @ 4.520330
11 Loschbour @ 5.871873
12 Abkhasian @ 6.096331
13 Georgian_Jew @ 6.217675
14 Estonian @ 6.795445
15 Iranian_Jew @ 7.228958
16 Belarusian @ 7.410016
17 Assyrian @ 8.159616
18 Armenian @ 8.194392
19 Ukrainian @ 8.258773
20 Georgian @ 8.297025

Using 2 populations approximation:
1 50% Chechen +50% Iranian @ 0.434537
2 50% Kurd_N +50% Turkish @ 0.513736
3 50% Brahui +50% LBK_EN @ 0.615748
4 50% Brahui +50% Sardinian @ 0.661277
5 50% Brahui +50% Stuttgart @ 0.724813
6 50% Iranian +50% Kurd_N @ 0.785241
7 50% Balochi +50% LBK_EN @ 0.816634
8 50% Balochi +50% Sardinian @ 0.859453
9 50% Balochi +50% Stuttgart @ 0.886264
10 50% Kurd_C +50% Mordovian @ 0.896505
11 50% Finnish +50% Kurd_C @ 0.947539
12 50% Bergamo +50% Brahui @ 0.973845
13 50% Adygei +50% Iranian @ 1.003230
14 50% Adygei +50% Kurd_C @ 1.021242
15 50% English +50% Makrani @ 1.030442
16 50% Kurd_C +50% Russian @ 1.048289
17 50% Makrani +50% Stuttgart @ 1.088726
18 50% Brahui +50% French_South @ 1.106394
19 50% Balochi +50% Bergamo @ 1.188260
20 50% Bergamo +50% Makrani @ 1.197667


Using 3 populations approximation:
1 50% Adygei +25% Makrani +25% Spanish @ 0.000000

[Peterski]

And here is my Oracle:

Admix Results (sorted):

# Population Percent
1 W_Eurasian 97.17
2 E_Eurasian 2.83

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 Bulgarian @ 1.099220
5 Hungarian @ 1.103531
6 French @ 1.135428
7 Albanian @ 1.227328
8 Lithuanian @ 1.230162
9 English @ 1.599866
10 Greek @ 1.658701
11 Ukrainian @ 2.058187
12 Georgian @ 2.172696
13 French_South @ 2.423753
14 Bergamo @ 2.692518
15 Spanish @ 2.714826
16 Belarusian @ 2.980958
17 Armenian @ 3.105085
18 Sardinian @ 3.465115
19 LBK_EN @ 3.479711
20 Estonian @ 3.644648

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% French +50% Norwegian @ 0.403642
16 50% French_South +50% Ukrainian @ 0.408963
17 50% Belarusian +50% Bergamo @ 0.416538
18 50% Croatian +50% Hungarian @ 0.423283
19 50% Czech +50% Hungarian @ 0.462236
20 50% Albanian +50% Lithuanian @ 0.464825

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

Done.

Elapsed time 0.0066 seconds.

[Hadouken]

this calculator has the worst oracle I have seen so far

[Peterski]

this calculator has the worst oracle I have seen so far

Probably because it has only 3 components.

This means that percentages of admixtures for a lot of populations overlap with each other.

But in your case it gave you "Kurd" correctly.

============================

It couldn't give me "Polish" because Poles are not among reference populations in this calc.

[firemonkey]

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


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


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

Population
E_Eurasian 4.34
SSA 0.40
W_Eurasian 95.26

Least-squares method.

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


Father FTDNA

E_Eurasian 3.47
SSA -
W_Eurasian 96.53

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.000000
3 Norwegian @ 0.741656
4 Bulgarian @ 0.858501
5 Czech @ 1.092019
6 Ukrainian @ 1.147818
7 Croatian @ 1.176524
8 Georgian @ 1.566716
9 Albanian @ 1.981196
10 French @ 2.011026
11 Belarusian @ 2.070364
12 Greek @ 2.310177
13 English @ 2.509340
14 Armenian @ 2.720505
15 Estonian @ 2.734054
16 Spanish @ 3.203646
17 Abkhasian @ 3.289920
18 French_South @ 3.303303
19 Bergamo @ 3.577178
20 Loschbour @ 3.753989

Using 2 populations approximation:
1 50% Belarusian +50% English @ 0.000000
2 50% Belarusian +50% French @ 0.000000
3 50% Croatian +50% Ukrainian @ 0.000000
4 50% Czech +50% Ukrainian @ 0.000000
5 50% English +50% Estonian @ 0.000000
6 50% Hungarian +50% Hungarian @ 0.000000
7 50% Hungarian +50% Lithuanian @ 0.000000
8 50% Hungarian +50% Norwegian @ 0.000000
9 50% Lithuanian +50% Lithuanian @ 0.000000
10 50% Lithuanian +50% Norwegian @ 0.000000
11 50% Norwegian +50% Ukrainian @ 0.000000
12 50% Bergamo +50% Loschbour @ 0.300550
13 50% Bulgarian +50% Lithuanian @ 0.350600
14 50% Estonian +50% French @ 0.355469
15 50% Czech +50% Lithuanian @ 0.386294
16 50% French +50% Ukrainian @ 0.386684
17 50% Bulgarian +50% Hungarian @ 0.389750
18 50% Croatian +50% Lithuanian @ 0.428834
19 50% Estonian +50% French_South @ 0.439533
20 50% Belarusian +50% Croatian @ 0.448988


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

[Norka]

Balkar! Mountain Tatar Pride!
# 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

[Mortimer]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 86.92
2 E_Eurasian 11.66
3 SSA 1.41

[FunkyWanderer]

# Population Percent
1 W_Eurasian 96.51
2 E_Eurasian 3.49

[de Burgh II]

Population
E_Eurasian 2.81
SSA 0.67
W_Eurasian 96.52

Least-squares method.

Using 1 population approximation:
1 Bulgarian @ 0.000000
2 Norwegian @ 0.829121
3 Hungarian @ 0.954739
4 Croatian @ 0.978613
5 Czech @ 0.989051
6 Lithuanian @ 1.105336
7 Albanian @ 1.323648
8 Georgian @ 1.360264
9 Greek @ 1.509079
10 French @ 1.560475
11 Ukrainian @ 1.776104
12 English @ 2.145816
13 Armenian @ 2.175268
14 Spanish @ 2.285848
15 Belarusian @ 2.658024
16 French_South @ 2.761532
17 Bergamo @ 3.041129
18 Sicilian @ 3.147846
19 Assyrian @ 3.188940
20 Estonian @ 3.296124

Using 2 populations approximation:
1 50% Abkhasian +50% LBK_EN @ 0.000000
2 50% Albanian +50% Georgian @ 0.000000
3 50% Bulgarian +50% Bulgarian @ 0.000000
4 50% Croatian +50% Georgian @ 0.000000
5 50% Estonian +50% LBK_EN @ 0.000000
6 50% Estonian +50% Sardinian @ 0.000000
7 50% French +50% Georgian @ 0.000000
8 50% Greek +50% Ukrainian @ 0.000000
9 50% LBK_EN +50% Loschbour @ 0.250693
10 50% Loschbour +50% Sardinian @ 0.250693
11 50% Abkhasian +50% Sardinian @ 0.252949
12 50% Czech +50% Georgian @ 0.265941
13 50% Abkhasian +50% Bergamo @ 0.266443
14 50% Greek +50% Lithuanian @ 0.276459
15 50% Albanian +50% Ukrainian @ 0.288851
16 50% Greek +50% Hungarian @ 0.302155
17 50% Bulgarian +50% Norwegian @ 0.304901
18 50% Bergamo +50% Estonian @ 0.364751
19 50% Spanish +50% Ukrainian @ 0.376450
20 50% English +50% Georgian @ 0.400260


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

[Nurzat]

https://scontent.fsbz1-2.fna.fbcdn.net/v/t1.0-9/15319188_10206310033589587_1271332809345198286_n.j pg?oh=0625226022129f6fce286a68a5c03555&oe=58C6BDDE

adding oracle:

Using 1 population approximation:
1 Estonian @ 0.483368
2 Loschbour @ 0.536569
3 Abkhasian @ 0.690757
4 Belarusian @ 1.147057
5 Ukrainian @ 2.070395
6 Georgian @ 2.780237
7 Lithuanian @ 2.897853
8 Hungarian @ 3.026429
9 Norwegian @ 3.958960
10 Czech @ 4.309233

Using 2 populations approximation (closest):
1 50% Belarusian +50% Loschbour @ 0.000000
2 50% Estonian +50% Loschbour @ 0.000000

[Peterski]

Results of a Czech guy:

Population
E_Eurasian 4.90
SSA -
W_Eurasian 95.10

[Petalpusher]

Merged


Admix Results (sorted):

# Population Percent
1 W_Eurasian 97.65
2 E_Eurasian 2.35


Using 1 population approximation:
1 Croatian @ 0,417851
2 Czech @ 0,489285
3 French @ 0,564977
4 Norwegian @ 0,835161
5 Albanian @ 0,879886
6 English @ 0,935093
7 Greek @ 1,390035
8 Bulgarian @ 1,617652
9 Hungarian @ 1,78409
10 French_South @ 1,797553
11 Lithuanian @ 1,909188
12 Bergamo @ 2,058931
13 Spanish @ 2,534047
14 Georgian @ 2,73119
15 Ukrainian @ 2,736582
16 LBK_EN @ 2,878367
17 Sardinian @ 2,881284
18 Stuttgart @ 3,323401
19 Armenian @ 3,523719
20 Belarusian @ 3,64867


Using 2 populations approximation:
1 English+Norwegian @ 0,106689

Using 3 populations approximation:
1 50% Norwegian +25% Hungarian +25% Stuttgart @ 0,048657

Using 4 populations approximation:
1 Czech+Lithuanian+Norwegian+Stuttgart @ 0,027527

[Tchek]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 97.68
2 E_Eurasian 2.32


Using 1 population approximation:
1 Croatian @ 0.449037
2 Czech @ 0.527978
3 French @ 0.535381
4 Albanian @ 0.846014
5 Norwegian @ 0.877758
6 English @ 0.893762
7 Greek @ 1.382965
8 Bulgarian @ 1.651831
9 French_South @ 1.761321
10 Hungarian @ 1.811529
11 Lithuanian @ 1.938718
12 Bergamo @ 2.020153
13 Spanish @ 2.523360
14 Georgian @ 2.762444
15 Ukrainian @ 2.766670
16 LBK_EN @ 2.845916
17 Sardinian @ 2.850145
18 Stuttgart @ 3.285388
19 Armenian @ 3.544691
20 Belarusian @ 3.689513

Using 2 populations approximation:
1 50% Belarusian +50% Stuttgart @ 0.000000
2 50% Croatian +50% English @ 0.000000
3 50% Croatian +50% French @ 0.000000
4 50% Czech +50% English @ 0.000000
5 50% Czech +50% French @ 0.000000
6 50% English +50% Norwegian @ 0.000000
7 50% Stuttgart +50% Ukrainian @ 0.000000
8 50% French +50% Norwegian @ 0.276489
9 50% Bergamo +50% Lithuanian @ 0.300550
10 50% French_South +50% Hungarian @ 0.338450


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

[Sizzo]

Population

E_Eurasian 0.61
SSA -
W_Eurasian 99.39

[Ylla]

Im having deja vu, I think we have done this before

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 97.65
2 E_Eurasian 1.70


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

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

Least-squares method.

Using 1 population approximation:
1 Albanian @ 0.000000
2 French @ 0.306684
3 Greek @ 0.586669
4 English @ 0.770055
5 Croatian @ 1.098908
6 French_South @ 1.181693
7 Czech @ 1.206860
8 Bergamo @ 1.461228
9 Norwegian @ 1.506469
10 Spanish @ 1.703618
11 Bulgarian @ 1.833022
12 Sardinian @ 2.110715
13 LBK_EN @ 2.144414
14 Hungarian @ 2.336300
15 Lithuanian @ 2.487593
16 Georgian @ 2.884679
17 Stuttgart @ 2.970941
18 Ukrainian @ 3.269760
19 Sicilian @ 3.335459
20 Armenian @ 3.358150

Using 2 populations approximation:
1 50% Albanian +50% Albanian @ 0.000000
2 50% Albanian +50% English @ 0.000000
3 50% Albanian +50% French @ 0.000000
4 50% Bergamo +50% Bulgarian @ 0.000000
5 50% Bulgarian +50% French_South @ 0.000000
6 50% English +50% Greek @ 0.000000
7 50% French +50% Greek @ 0.000000
8 50% Georgian +50% Stuttgart @ 0.000000
9 50% Hungarian +50% LBK_EN @ 0.000000
10 50% Hungarian +50% Sardinian @ 0.000000
11 50% LBK_EN +50% Lithuanian @ 0.000000
12 50% Lithuanian +50% Sardinian @ 0.000000
13 50% Norwegian +50% Sardinian @ 0.000000
14 50% Bulgarian +50% LBK_EN @ 0.279466
15 50% LBK_EN +50% Norwegian @ 0.297295
16 50% French +50% French @ 0.306684
17 50% Czech +50% French_South @ 0.328134
18 50% Bergamo +50% Norwegian @ 0.333934
19 50% French_South +50% Norwegian @ 0.335184
20 50% Bulgarian +50% Sardinian @ 0.342066


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

Done.

[Pahli]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 91.46
2 E_Eurasian 5.61
3 SSA 2.93


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

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

Least-squares method.

Using 1 population approximation:
1 Kurd_N @ 1.358016
2 Georgian_Jew @ 2.467315
3 Kurd_C @ 2.969343
4 Iranian_Jew @ 3.265816
5 Abkhasian @ 3.447636
6 Chechen @ 3.562904
7 Loschbour @ 3.826229
8 Assyrian @ 4.213096
9 Estonian @ 4.286986
10 Armenian @ 4.422704
11 Ashkenazi_Jew @ 4.457489
12 Adygei @ 4.530931
13 Iraqi_Jew @ 4.641164
14 Belarusian @ 4.690450
15 Georgian @ 4.851931
16 Ukrainian @ 5.294257
17 Bulgarian @ 5.964775
18 Lithuanian @ 5.972202
19 Hungarian @ 6.019096
20 Sicilian @ 6.023978

Using 2 populations approximation:
1 50% Iranian_Jew +50% Kurd_C @ 0.000000
2 50% Iranian +50% Sicilian @ 0.291530
3 50% Cypriot +50% Iranian @ 0.386778
4 50% Georgian_Jew +50% Kurd_C @ 0.520899
5 50% Iranian +50% Spanish @ 0.539000
6 50% Cypriot +50% Turkish @ 0.616191
7 50% Assyrian +50% Kurd_C @ 0.622135
8 50% Ashkenazi_Jew +50% Kurd_C @ 0.741728
9 50% Sicilian +50% Turkish @ 0.799761
10 50% Armenian +50% Kurd_C @ 0.843274
11 50% Iraqi_Jew +50% Kurd_C @ 0.984034
12 50% Greek +50% Iranian @ 0.985403
13 50% Armenian +50% Iranian @ 0.985557
14 50% Adygei +50% Iraqi_Jew @ 1.010981
15 50% Assyrian +50% Iranian @ 1.030136
16 50% Ashkenazi_Jew +50% Iranian @ 1.030999
17 50% Iraqi_Jew +50% Mordovian @ 1.118858
18 50% Finnish +50% Iraqi_Jew @ 1.174897
19 50% Albanian +50% Iranian @ 1.217602
20 50% Bulgarian +50% Iranian @ 1.261964


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

Its pretty accurate for me lmao

[GoneWithTheWind]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 91.46
2 E_Eurasian 5.61
3 SSA 2.93


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

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

Least-squares method.

Using 1 population approximation:
1 Kurd_N @ 1.358016
2 Georgian_Jew @ 2.467315
3 Kurd_C @ 2.969343
4 Iranian_Jew @ 3.265816
5 Abkhasian @ 3.447636
6 Chechen @ 3.562904
7 Loschbour @ 3.826229
8 Assyrian @ 4.213096
9 Estonian @ 4.286986
10 Armenian @ 4.422704
11 Ashkenazi_Jew @ 4.457489
12 Adygei @ 4.530931
13 Iraqi_Jew @ 4.641164
14 Belarusian @ 4.690450
15 Georgian @ 4.851931
16 Ukrainian @ 5.294257
17 Bulgarian @ 5.964775
18 Lithuanian @ 5.972202
19 Hungarian @ 6.019096
20 Sicilian @ 6.023978

Using 2 populations approximation:
1 50% Iranian_Jew +50% Kurd_C @ 0.000000
2 50% Iranian +50% Sicilian @ 0.291530
3 50% Cypriot +50% Iranian @ 0.386778
4 50% Georgian_Jew +50% Kurd_C @ 0.520899
5 50% Iranian +50% Spanish @ 0.539000
6 50% Cypriot +50% Turkish @ 0.616191
7 50% Assyrian +50% Kurd_C @ 0.622135
8 50% Ashkenazi_Jew +50% Kurd_C @ 0.741728
9 50% Sicilian +50% Turkish @ 0.799761
10 50% Armenian +50% Kurd_C @ 0.843274
11 50% Iraqi_Jew +50% Kurd_C @ 0.984034
12 50% Greek +50% Iranian @ 0.985403
13 50% Armenian +50% Iranian @ 0.985557
14 50% Adygei +50% Iraqi_Jew @ 1.010981
15 50% Assyrian +50% Iranian @ 1.030136
16 50% Ashkenazi_Jew +50% Iranian @ 1.030999
17 50% Iraqi_Jew +50% Mordovian @ 1.118858
18 50% Finnish +50% Iraqi_Jew @ 1.174897
19 50% Albanian +50% Iranian @ 1.217602
20 50% Bulgarian +50% Iranian @ 1.261964


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

Its pretty accurate for me lmao

Lol. 50% Albanian+50%Iranian

[poiuytrewq0987]

Slavic as fuck?


Gedrosia K3 4-Ancestors OracleThis 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):


<tbody>
#
Population
Percent


1
W_Eurasian
95.58


2
E_Eurasian
4.11

</tbody>


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

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

Least-squares method.

Using 1 population approximation:
1 Ukrainian @ 0.266598
2 Lithuanian @ 0.892325
3 Hungarian @ 0.948023
4 Georgian @ 1.012205
5 Belarusian @ 1.020804
6 Bulgarian @ 1.413211
7 Estonian @ 1.654596
8 Norwegian @ 1.900793
9 Abkhasian @ 2.099213
10 Czech @ 2.242939
11 Armenian @ 2.244860
12 Croatian @ 2.304972
13 Loschbour @ 2.657195
14 Georgian_Jew @ 2.903115
15 Albanian @ 2.947073
16 French @ 3.092871
17 Greek @ 3.146585
18 Assyrian @ 3.338048
19 Iranian_Jew @ 3.465069
20 English @ 3.634238

Using 2 populations approximation:
1 50% Abkhasian +50% Croatian @ 0.000000
2 50% Abkhasian +50% Czech @ 0.000000
3 50% Abkhasian +50% Norwegian @ 0.000000
4 50% Albanian +50% Loschbour @ 0.000000
5 50% Belarusian +50% Bulgarian @ 0.000000
6 50% Bulgarian +50% Estonian @ 0.000000
7 50% French +50% Loschbour @ 0.000000
8 50% Greek +50% Loschbour @ 0.000000
9 50% Georgian +50% Ukrainian @ 0.261802
10 50% Ukrainian +50% Ukrainian @ 0.266598
11 50% Belarusian +50% Hungarian @ 0.274848
12 50% Chechen +50% Stuttgart @ 0.290115
13 50% Estonian +50% Norwegian @ 0.304198
14 50% Belarusian +50% Lithuanian @ 0.313998
15 50% Belarusian +50% Georgian @ 0.334633
16 50% Bergamo +50% Chechen @ 0.355934
17 50% Croatian +50% Loschbour @ 0.367903
18 50% Czech +50% Loschbour @ 0.418353
19 50% Croatian +50% Estonian @ 0.464330
20 50% Estonian +50% Hungarian @ 0.466097


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

Done.

Elapsed time 0.0267 seconds.

[poiuytrewq0987]

Lol. 50% Albanian+50%Iranian

Likely refers to a general Mediterrean result.

[Iloko]

E_Eurasian 94.50
SSA 0.23
W_Eurasian 5.27

[GoneWithTheWind]

Likely refers to a general Mediterrean result.

I ordered family finder. Did i dun goof?

[poiuytrewq0987]

I ordered family finder. Did i dun goof?

Go for the Big Y test. Other tests are just a waste of money that could be spent on Big Y instead.

[DRUM]

# Population Percent
1 W_Eurasian 97.37
2 E_Eurasian 1.70
--------------------------------
Least-squares method.

Using 1 population approximation:
1 Albanian @ 0.000000
2 Greek @ 0.000000
3 French @ 0.706746
4 English @ 1.171352
5 Croatian @ 1.223999
6 Czech @ 1.326062
7 Spanish @ 1.364143
8 French_South @ 1.438056
9 Norwegian @ 1.565774
10 Bulgarian @ 1.642673
11 Bergamo @ 1.707385
12 Sardinian @ 2.203750
13 LBK_EN @ 2.257231
14 Hungarian @ 2.284892
15 Lithuanian @ 2.442738
16 Georgian @ 2.633836
17 Sicilian @ 2.940033
18 Armenian @ 3.008214
19 Cypriot @ 3.085778
20 Ukrainian @ 3.178331

Using 2 populations approximation:
1 50% Albanian +50% Albanian @ 0.000000
2 50% Albanian +50% Greek @ 0.000000
3 50% Armenian +50% Stuttgart @ 0.000000
4 50% Bulgarian +50% LBK_EN @ 0.000000
5 50% Bulgarian +50% Sardinian @ 0.000000
6 50% Croatian +50% Spanish @ 0.000000
7 50% French +50% Greek @ 0.000000
8 50% Georgian +50% LBK_EN @ 0.000000
9 50% Greek +50% Greek @ 0.000000
10 50% Hungarian +50% Sardinian @ 0.254137
11 50% French +50% Spanish @ 0.256314
12 50% Czech +50% Spanish @ 0.257332
13 50% Bergamo +50% Bulgarian @ 0.279887
14 50% Bulgarian +50% French_South @ 0.281137
15 50% Lithuanian +50% Sardinian @ 0.293287
16 50% Hungarian +50% LBK_EN @ 0.316737
17 50% LBK_EN +50% Lithuanian @ 0.355887
18 50% English +50% Spanish @ 0.374481
19 50% Georgian +50% Sardinian @ 0.392192
20 50% Albanian +50% French @ 0.408987

[Pahli]

Lol. 50% Albanian+50%Iranian

I'm 190 cm part of the J family, not impossible :laugh:

[Norka]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 91.46
2 E_Eurasian 5.61
3 SSA 2.93


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

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

Least-squares method.

Using 1 population approximation:
1 Kurd_N @ 1.358016
2 Georgian_Jew @ 2.467315
3 Kurd_C @ 2.969343
4 Iranian_Jew @ 3.265816
5 Abkhasian @ 3.447636
6 Chechen @ 3.562904
7 Loschbour @ 3.826229
8 Assyrian @ 4.213096
9 Estonian @ 4.286986
10 Armenian @ 4.422704
11 Ashkenazi_Jew @ 4.457489
12 Adygei @ 4.530931
13 Iraqi_Jew @ 4.641164
14 Belarusian @ 4.690450
15 Georgian @ 4.851931
16 Ukrainian @ 5.294257
17 Bulgarian @ 5.964775
18 Lithuanian @ 5.972202
19 Hungarian @ 6.019096
20 Sicilian @ 6.023978

Using 2 populations approximation:
1 50% Iranian_Jew +50% Kurd_C @ 0.000000
2 50% Iranian +50% Sicilian @ 0.291530
3 50% Cypriot +50% Iranian @ 0.386778
4 50% Georgian_Jew +50% Kurd_C @ 0.520899
5 50% Iranian +50% Spanish @ 0.539000
6 50% Cypriot +50% Turkish @ 0.616191
7 50% Assyrian +50% Kurd_C @ 0.622135
8 50% Ashkenazi_Jew +50% Kurd_C @ 0.741728
9 50% Sicilian +50% Turkish @ 0.799761
10 50% Armenian +50% Kurd_C @ 0.843274
11 50% Iraqi_Jew +50% Kurd_C @ 0.984034
12 50% Greek +50% Iranian @ 0.985403
13 50% Armenian +50% Iranian @ 0.985557
14 50% Adygei +50% Iraqi_Jew @ 1.010981
15 50% Assyrian +50% Iranian @ 1.030136
16 50% Ashkenazi_Jew +50% Iranian @ 1.030999
17 50% Iraqi_Jew +50% Mordovian @ 1.118858
18 50% Finnish +50% Iraqi_Jew @ 1.174897
19 50% Albanian +50% Iranian @ 1.217602
20 50% Bulgarian +50% Iranian @ 1.261964


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

Its pretty accurate for me lmao

That SSA :)

[GoneWithTheWind]

Go for the Big Y test. Other tests are just a waste of money that could be spent on Big Y instead.

I dont think i need big y as people i match close already done it so i know im most likely j ph1751

But i ordered this autosomal.

[Pennywise]

OMG what a shitty calculator is this? Why they still keep holding such outdated calculators on gedmatch I don't understand.

[Pahli]

That SSA :)

Explains my dick size

[Norka]

OMG what a shitty calculator is this? Why they still keep holding such outdated calculators on gedmatch I don't understand.

Why what did you get?

[Norka]

Explains my dick size

http://interesting-africa-facts.com/Images/Congo-River.jpg

[Hadouken]

OMG what a shitty calculator is this? Why they still keep holding such outdated calculators on gedmatch I don't understand.

which calculators are good in your opinion ?

[Pahli]

http://interesting-africa-facts.com/Images/Congo-River.jpg

You're the troo African here though, E-V13 slayer :laugh:

[Dick]

# Population Percent
1 W_Eurasian 96.59
2 E_Eurasian 3.41


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

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.407180
3 Norwegian @ 0.654063
4 Bulgarian @ 0.865889
5 Czech @ 1.004431
6 Croatian @ 1.089054
7 Ukrainian @ 1.235394
8 Georgian @ 1.611219
9 Albanian @ 1.902712
10 French @ 1.925371
11 Belarusian @ 2.157975
12 Greek @ 2.239966
13 English @ 2.421800
14 Armenian @ 2.747066
15 Estonian @ 2.821665
16 Spanish @ 3.149342
17 French_South @ 3.217927
18 Abkhasian @ 3.375628
19 Bergamo @ 3.491482
20 Assyrian @ 3.840616

Using 2 populations approximation:
1 50% Belarusian +50% French @ 0.000000
2 50% Belarusian +50% English @ 0.000000
3 50% Croatian +50% Ukrainian @ 0.000000
4 50% Czech +50% Lithuanian @ 0.000000
5 50% Czech +50% Ukrainian @ 0.000000
6 50% English +50% Estonian @ 0.000000
7 50% Hungarian +50% Hungarian @ 0.000000
8 50% Hungarian +50% Norwegian @ 0.000000
9 50% Lithuanian +50% Norwegian @ 0.000000
10 50% Norwegian +50% Ukrainian @ 0.000000
11 50% Hungarian +50% Lithuanian @ 0.262726
12 50% Croatian +50% Lithuanian @ 0.263433
13 50% Czech +50% Hungarian @ 0.284833
14 50% French +50% Ukrainian @ 0.324733
15 50% Croatian +50% Hungarian @ 0.328283
16 50% Estonian +50% French_South @ 0.396416
17 50% Lithuanian +50% Lithuanian @ 0.407180
18 50% Estonian +50% French @ 0.417419
19 50% Bergamo +50% Loschbour @ 0.425875
20 50% Bulgarian +50% Lithuanian @ 0.446770

[frankhammer]

Eurasia K3 Oracle

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 @ 0.255441
2 Hungarian @ 0.589023
3 Czech @ 0.697338
4 Lithuanian @ 0.714404
5 Croatian @ 0.782578
6 Bulgarian @ 0.850435
7 Ukrainian @ 1.542524
8 French @ 1.626652
9 Albanian @ 1.634839
10 Georgian @ 1.798200
11 Greek @ 2.004613
12 English @ 2.114871
13 Belarusian @ 2.465200
14 Armenian @ 2.850337
15 French_South @ 2.919591
16 Spanish @ 2.968821
17 Estonian @ 3.128890
18 Bergamo @ 3.191797
19 Abkhasian @ 3.676889
20 Assyrian @ 3.929721

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% English +50% Ukrainian @ 0.000000
7 50% French +50% Ukrainian @ 0.000000
8 50% Hungarian +50% Norwegian @ 0.000000
9 50% Lithuanian +50% Norwegian @ 0.000000
10 50% Loschbour +50% Stuttgart @ 0.000000
11 50% Norwegian +50% Norwegian @ 0.255441
12 50% Bergamo +50% Estonian @ 0.300550
13 50% Croatian +50% Ukrainian @ 0.304367
14 50% Bulgarian +50% Norwegian @ 0.360400
15 50% Albanian +50% Ukrainian @ 0.376450
16 50% French +50% Lithuanian @ 0.388291
17 50% Estonian +50% French_South @ 0.394243
18 50% Belarusian +50% French @ 0.400009
19 50% Belarusian +50% French_South @ 0.408042
20 50% Czech +50% Ukrainian @ 0.423636


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

[Pennywise]

Why what did you get?

Lots of Finnish, Mordvin, Russian etc. with 1-2 distances. Proves it's worthless.


which calculators are good in your opinion ?

It depends on populations you want to run.

[Journeyman26]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 98.04
2 E_Eurasian 1.17


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

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

Least-squares method.

Using 1 population approximation:
1 French_South @ 0.544571
2 English @ 0.793851
3 Bergamo @ 0.818068
4 Albanian @ 0.912440
5 French @ 0.913062
6 Greek @ 0.915557
7 Sardinian @ 1.438599
8 LBK_EN @ 1.466929
9 Spanish @ 1.664313
10 Croatian @ 1.743622
11 Czech @ 1.849957
12 Norwegian @ 2.167828
13 Stuttgart @ 2.412588
14 Bulgarian @ 2.487316
15 Hungarian @ 3.013787
16 Lithuanian @ 3.164556
17 Sicilian @ 3.454289
18 Georgian @ 3.504158
19 Cypriot @ 3.516274
20 Armenian @ 3.844924

Using 2 populations approximation:
1 50% Albanian +50% Bergamo @ 0.000000
2 50% Albanian +50% French_South @ 0.000000
3 50% Albanian +50% LBK_EN @ 0.000000
4 50% Albanian +50% Sardinian @ 0.000000
5 50% Bergamo +50% Greek @ 0.000000
6 50% Croatian +50% LBK_EN @ 0.000000
7 50% Croatian +50% Sardinian @ 0.000000
8 50% Czech +50% LBK_EN @ 0.000000
9 50% Czech +50% Sardinian @ 0.000000
10 50% French +50% Sardinian @ 0.000000
11 50% French_South +50% Greek @ 0.000000
12 50% French +50% LBK_EN @ 0.262123
13 50% LBK_EN +50% Norwegian @ 0.298231
14 50% Norwegian +50% Sardinian @ 0.298231
15 50% Bergamo +50% French @ 0.321059
16 50% French +50% French_South @ 0.322309
17 50% Greek +50% LBK_EN @ 0.503622
18 50% English +50% Greek @ 0.519813
19 50% English +50% French_South @ 0.535382
20 50% Bulgarian +50% Stuttgart @ 0.541845

[Norka]

You're the troo African here though, E-V13 slayer :laugh:

Oooooo mama Africa calls.

[Norka]

Lots of Finnish, Mordvin, Russian etc. with 1-2 distances. Proves it's worthless.



It depends on populations you want to run.

Fair enough, you should post your results. You are Turk?

[Pahli]

Oooooo mama Africa calls.

Kek, both of us have African haplogroups :laugh:

[Norka]

Kek, both of us have African haplogroups :laugh:

My nigga!

[Pahli]

My nigga!

Time to slay European chicks :laugh:

[Norka]

Time to slay European chicks :laugh:
Let go!

https://s.yimg.com/ny/api/res/1.2/AZPliPk5IA7BvTDepWIaeQ--/YXBwaWQ9aGlnaGxhbmRlcjtzbT0xO3c9ODAwO2lsPXBsYW5l/http://media.zenfs.com/en_us/News/afp.com/6ce0b59c1486c7fab6db32aa6c4077972793c8d9.jpg

[LoLeL]

East Eurasian = Siberian or proto-Mongol? :confused:

[Pennywise]

I ordered family finder. Did i dun goof?

FF is an autosomal test and definetly worth your money (If you haven't done the test before with an another company ofc). Don't listen him.

[LoLeL]

Could someone please explain these West Eurasian and East Eurasian categories? And provide some links/articles. Thanks.

[GoneWithTheWind]

FF is an autosomal test and definetly worth your money (If you haven't done the test before with an another company ofc). Don't listen him.

No. I havent done autosomal before.

[poiuytrewq0987]

East Eurasian = Siberian or proto-Mongol? :confused:

I would assume that there is little difference, if any, between them.

[StixNstones]

Could someone please explain these West Eurasian and East Eurasian categories? And provide some links/articles. Thanks.

Eurasia K3 - E Eurasian, W Eurasian, and Sub-Saharan African Calculator
This calculator calculates an individual's E Eurasian, W Eurasian, and Sub-Saharan African admixture.

The components are defined as follows:

1- E Eurasian - This component peaks in E & SE populations such as Ami, Nivkh, Dai, Han, and Ulchi, at about 100%, followed by Siberian & other Asian populations such as Nganasans, Tibetans, Subba, and Mongola.

2- W Eurasian - This component peaks in Neolithic European farmers such as Stuttgart, and LBK culture, as well as in most modern European populations at over 95%.

3- SSA (Sub-Saharan African) - This component peaks in Sub-Saharan African populations such as Yoruban, Esan, and Luhiya at over 97%.

https://www.gedmatch.com/gedwiki/index.php?title=Admixture_Calculators#Gedrosia_K12 _-_South_Asian_and_West_Asian_Ancestry

[LoLeL]

Eurasia K3 - E Eurasian, W Eurasian, and Sub-Saharan African Calculator
This calculator calculates an individual's E Eurasian, W Eurasian, and Sub-Saharan African admixture.

The components are defined as follows:

1- E Eurasian - This component peaks in E & SE populations such as Ami, Nivkh, Dai, Han, and Ulchi, at about 100%, followed by Siberian & other Asian populations such as Nganasans, Tibetans, Subba, and Mongola.

2- W Eurasian - This component peaks in Neolithic European farmers such as Stuttgart, and LBK culture, as well as in most modern European populations at over 95%.

3- SSA (Sub-Saharan African) - This component peaks in Sub-Saharan African populations such as Yoruban, Esan, and Luhiya at over 97%.

https://www.gedmatch.com/gedwiki/index.php?title=Admixture_Calculators#Gedrosia_K12 _-_South_Asian_and_West_Asian_Ancestry

Thanks, but it seems its wiki section is limited to registered members. A private wiki.

[Myanthropologies]

Lol this calculator looks terrible.

[Antimage]

Lol this calculator looks terrible.

It's not meant to be accurate, it's for fun only i think

[Petalpusher]

It's not meant to be accurate, it's for fun only i think

It's what it is, a K3. It does what it's meant to do, have an overview of ancient samples or a caucasoid percentage.



Population

E_Eurasian 0.61
SSA -
W_Eurasian 99.39

I ve always said N.Italians are the most W.Eurasian pop in Europe, probably along with Basques. I love it when a plan comes together.

[StixNstones]

Thanks, but it seems its wiki section is limited to registered members. A private wiki.

How odd! Maybe the link only works if you access it from Gedmatch? Try bringing up the calc again, the link is on your results page. What I pasted above is exactly what it says under K3, but there's more details about the other calculators on the same Wiki page.

[LoLeL]

How odd! Maybe the link only works if you access it from Gedmatch? Try bringing up the calc again, the link is on your results page. What I pasted above is exactly what it says under K3, but there's more details about the other calculators on the same Wiki page.

It's inaccessible.

[TheCaspian]

It's pretty bad

# Population Percent
1 W_Eurasian 84.36
2 E_Eurasian 13.47
3 SSA 2.17

Using 1 population approximation:
1 Turkish @ 3.368072
2 Balkar @ 3.528425
3 Iranian @ 4.514364
4 Russian @ 5.375814
5 Finnish @ 5.807099
6 Mordovian @ 6.024252


50% Bergamo +50% Kurd_SE @ 0.000000
50% French_South +50% Kurd_SE @ 0.000000

[Hadouken]

It's pretty bad



welcome bro

can you post your results here too :

http://www.theapricity.com/forum/showthread.php?198287-Post-your-Eurgoenes-K13-Gedmatch-Results

http://www.theapricity.com/forum/showthread.php?197960-post-your-mdlp-world-22-gedmatch-results

[TheCaspian]

welcome bro

can you post your results here too :

http://www.theapricity.com/forum/showthread.php?198287-Post-your-Eurgoenes-K13-Gedmatch-Results

http://www.theapricity.com/forum/showthread.php?197960-post-your-mdlp-world-22-gedmatch-results

Done, I am from Northern Iran of the Mazandarani ethnic group.

https://en.wikipedia.org/wiki/Mazandaran_Province

https://en.wikipedia.org/wiki/Mazanderani_people

[Peterski]

Oracle is not supposed to be accurate for this calculator.

It is mostly about % of these three basic admixtures.

[Nurzat]

Proto-Indo-European awesomeness:

Eurasia K3 Oracle

1 W_Eurasian 94.26
2 E_Eurasian 5.74

Using 1 population approximation:
Estonian @ 0.483368
Loschbour @ 0.536569
Belarusian @ 1.147057
Ukrainian @ 2.070395
Lithuanian @ 2.897853
Hungarian @ 3.026429
Bulgarian @ 3.530525
Norwegian @ 3.958960
Czech @ 4.309233
Croatian @ 4.392652

Using 2 populations approximation:
50% Belarusian +50% Loschbour @ 0.000000

[Albannach]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 95.91
2 E_Eurasian 3.93


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

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

Least-squares method.

Using 1 population approximation:
1 Ukrainian @ 0.330517
2 Lithuanian @ 0.395996
3 Hungarian @ 0.574741
4 Georgian @ 1.150678
5 Bulgarian @ 1.170372
6 Belarusian @ 1.312574
7 Norwegian @ 1.507997
8 Czech @ 1.857041
9 Croatian @ 1.938460
10 Estonian @ 1.974520
11 Armenian @ 2.401689
12 Abkhasian @ 2.501578
13 Albanian @ 2.630467
14 French @ 2.733737
15 Greek @ 2.873395
16 Loschbour @ 2.993281
17 Georgian_Jew @ 3.268921
18 English @ 3.270402
19 Assyrian @ 3.514200
20 Spanish @ 3.597927

Using 2 populations approximation:
1 50% Belarusian +50% Bulgarian @ 0.000000
2 50% Belarusian +50% Norwegian @ 0.000000
3 50% Chechen +50% Stuttgart @ 0.000000
4 50% Croatian +50% Estonian @ 0.000000
5 50% Czech +50% Estonian @ 0.000000
6 50% English +50% Loschbour @ 0.000000
7 50% Estonian +50% Norwegian @ 0.000000
8 50% French +50% Loschbour @ 0.000000
9 50% Hungarian +50% Ukrainian @ 0.000000
10 50% Lithuanian +50% Ukrainian @ 0.000000
11 50% Albanian +50% Loschbour @ 0.250610
12 50% Abkhasian +50% Croatian @ 0.263206
13 50% Belarusian +50% Czech @ 0.267548
14 50% Abkhasian +50% Czech @ 0.278458
15 50% Belarusian +50% Croatian @ 0.282791
16 50% Abkhasian +50% French @ 0.284886
17 50% Albanian +50% Estonian @ 0.296833
18 50% Bulgarian +50% Ukrainian @ 0.311383
19 50% Belarusian +50% Hungarian @ 0.323067
20 50% Ukrainian +50% Ukrainian @ 0.330517


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

[FunkyWanderer]

Population
E_Eurasian 3.49
W_Eurasian 96.51

[Kriptc06]

Admix Results (sorted):


<tbody>
#
Population
Percent


1
W_Eurasian
76.15


2
E_Eurasian
11.96


3
SSA
11.89


</tbody>

[Deniz]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 92.50
2 E_Eurasian 7.43


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

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

Least-squares method.

Using 1 population approximation:
1 Chechen @ 0.942435
2 Loschbour @ 1.896095
3 Kurd_N @ 2.185447
4 Abkhasian @ 2.507391
5 Adygei @ 2.747149
6 Estonian @ 2.915819
7 Belarusian @ 3.579437
8 Georgian_Jew @ 3.957074
9 Kurd_C @ 4.220405
10 Ukrainian @ 4.502195
11 Mordovian @ 4.620885
12 Finnish @ 4.863974
13 Georgian @ 5.023590
14 Iranian_Jew @ 5.310184
15 Lithuanian @ 5.330127
16 Russian @ 5.338514
17 Hungarian @ 5.457974
18 Armenian @ 5.478791
19 Bulgarian @ 5.907702
20 Assyrian @ 5.989980

Using 2 populations approximation:
1 50% Adygei +50% Estonian @ 0.000000
2 50% Balkar +50% Croatian @ 0.000000
3 50% Finnish +50% Hungarian @ 0.000000
4 50% Finnish +50% Lithuanian @ 0.000000
5 50% Finnish +50% Ukrainian @ 0.000000
6 50% Hungarian +50% Russian @ 0.000000
7 50% Lithuanian +50% Russian @ 0.000000
8 50% Mordovian +50% Ukrainian @ 0.000000
9 50% Balkar +50% Czech @ 0.254402
10 50% Lithuanian +50% Mordovian @ 0.284599
11 50% Adygei +50% Loschbour @ 0.350456
12 50% Adygei +50% Belarusian @ 0.360934
13 50% Balkar +50% Norwegian @ 0.374702
14 50% Balkar +50% French @ 0.393248
15 50% Balkar +50% English @ 0.409133
16 50% Russian +50% Ukrainian @ 0.418759
17 50% Hungarian +50% Mordovian @ 0.419148
18 50% Bulgarian +50% Russian @ 0.441442
19 50% Finnish +50% Georgian @ 0.484432
20 50% Chechen +50% Loschbour @ 0.485205


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

Done.

Elapsed time 0.0034 seconds.

[Peterski]

Native Australian (kit Z905945):

Admix Results (sorted):

# Population Percent
1 E_Eurasian 66.49
2 W_Eurasian 21.54
3 SSA 11.97


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

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

Least-squares method.

Using 1 population approximation:
1 Great_Andamanese @ 9.347932
2 Onge @ 9.697618
3 Kharia @ 10.112145
4 Birhor @ 10.196522
5 Bhumij @ 10.817683
6 Paniyas @ 13.703825
7 Altaian @ 14.928535
8 Gond @ 15.069019
9 Kyrgyz @ 15.099876
10 Nihali @ 19.136213
11 Yukagir @ 20.452866
12 Yukagir @ 20.452866
13 Kattunayakkan @ 20.907804
14 Sherpa @ 24.519413
15 Irula @ 25.165117
16 Hazara @ 26.034424
17 Madiga @ 29.660011
18 Thai @ 30.312344
19 Changapa @ 31.106314
20 Hallkipiki @ 31.229984

Using 2 populations approximation:
1 50% Onge +50% Paniyas @ 7.309495
2 50% Bhumij +50% Onge @ 8.116324
3 50% Gond +50% Onge @ 8.352816
4 50% Great_Andamanese +50% Onge @ 8.461292
5 50% Birhor +50% Onge @ 8.511601
6 50% Kharia +50% Onge @ 8.915203
7 50% Nihali +50% Onge @ 8.955352
8 50% Great_Andamanese +50% Great_Andamanese @ 9.347932
9 50% Kattunayakkan +50% Onge @ 9.374878
10 50% Onge +50% Onge @ 9.697618
11 50% Great_Andamanese +50% Kharia @ 9.726807
12 50% Birhor +50% Great_Andamanese @ 9.750111
13 50% Bhumij +50% Great_Andamanese @ 9.916514
14 50% Birhor +50% Kharia @ 10.110303
15 50% Kharia +50% Kharia @ 10.112145
16 50% Birhor +50% Birhor @ 10.196522
17 50% Bhumij +50% Kharia @ 10.239260
18 50% Kyrgyz +50% Onge @ 10.368713
19 50% Bhumij +50% Birhor @ 10.437760
20 50% Great_Andamanese +50% Paniyas @ 10.477298


Using 3 populations approximation:
1 50% Changapa +25% Ethiopian_Jew +25% Yukagir @ 1.041225

[Peterski]

Ethnic Latvian (kit A643022):

Admix Results (sorted):

# Population Percent
1 W_Eurasian 93.48
2 E_Eurasian 6.52


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

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

Least-squares method.

Using 1 population approximation:
1 Loschbour @ 0.564781
2 Abkhasian @ 1.300751
3 Estonian @ 1.584716
4 Belarusian @ 2.248406
5 Chechen @ 2.287115
6 Kurd_N @ 2.421058
7 Ukrainian @ 3.171646
8 Georgian_Jew @ 3.194513
9 Georgian @ 3.780463
10 Lithuanian @ 3.999202
11 Adygei @ 4.078253
12 Hungarian @ 4.127639
13 Armenian @ 4.390049
14 Iranian_Jew @ 4.516273
15 Bulgarian @ 4.606664
16 Assyrian @ 5.058636
17 Norwegian @ 5.060302
18 Kurd_C @ 5.158126
19 Czech @ 5.410567
20 Croatian @ 5.493906

Using 2 populations approximation:
1 50% Adygei +50% Hungarian @ 0.000000
2 50% Adygei +50% Lithuanian @ 0.000000
3 50% Belarusian +50% Chechen @ 0.000000
4 50% Croatian +50% Mordovian @ 0.000000
5 50% Czech +50% Mordovian @ 0.000000
6 50% English +50% Russian @ 0.000000
7 50% Finnish +50% French @ 0.000000
8 50% French +50% Mordovian @ 0.000000
9 50% French +50% Russian @ 0.000000
10 50% English +50% Finnish @ 0.258712
11 50% Croatian +50% Finnish @ 0.270844
12 50% Chechen +50% Estonian @ 0.309540
13 50% Balkar +50% Stuttgart @ 0.315162
14 50% Albanian +50% Finnish @ 0.352750
15 50% Albanian +50% Mordovian @ 0.352750
16 50% Czech +50% Finnish @ 0.392170
17 50% Chechen +50% Ukrainian @ 0.404063
18 50% Adygei +50% Ukrainian @ 0.415985
19 50% English +50% Mordovian @ 0.440248
20 50% Mordovian +50% Norwegian @ 0.445599


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


Unmixed Native American (kit M174237):

http://www.theapricity.com/forum/showthread.php?204102-Is-my-negrito-DNA-noise/page2&p=4259665#post4259665

Admix Results (sorted):

# Population Percent
1 E_Eurasian 77.21
2 W_Eurasian 22.79


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

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

Least-squares method.

Using 1 population approximation:
1 Altaian @ 3.850997
2 Yukagir @ 7.566089
3 Yukagir @ 7.566089
4 Kharia @ 7.710388
5 Great_Andamanese @ 8.578797
6 Onge @ 9.086884
7 Birhor @ 9.304724
8 Kyrgyz @ 10.345919
9 Bhumij @ 11.542670
10 Sherpa @ 13.354014
11 Gond @ 17.560059
12 Paniyas @ 18.258831
13 Thai @ 20.282179
14 Changapa @ 20.967503
15 Nihali @ 23.295263
16 Kattunayakkan @ 25.599689
17 Mongola @ 25.925554
18 Nganasan @ 26.953400
19 Tibet-refugees @ 27.252836
20 Hazara @ 28.312693

Using 2 populations approximation:
1 50% Hazara +50% Subba @ 0.308882
2 50% Hazara +50% Tibet-refugees @ 0.537675
3 50% Hazara +50% Nganasan @ 0.680751
4 50% Hazara +50% Mongola @ 1.194173
5 50% Kyrgyz +50% Yukagir @ 1.389913
6 50% Kyrgyz +50% Yukagir @ 1.389913
7 50% Kyrgyz +50% Sherpa @ 1.506657
8 50% Hazara +50% Ulchi @ 1.851572
9 50% Altaian +50% Yukagir @ 1.857543
10 50% Altaian +50% Yukagir @ 1.857543
11 50% Han +50% Hazara @ 1.935836
12 50% Dai +50% Hazara @ 1.955318
13 50% Ami +50% Hazara @ 1.955349
14 50% Hazara +50% Nivkh @ 1.955349
15 50% Irula +50% Subba @ 2.188093
16 50% Ami +50% Chenchu @ 2.229834
17 50% Chenchu +50% Nivkh @ 2.229834
18 50% Chenchu +50% Dai @ 2.229897
19 50% Chenchu +50% Han @ 2.244962
20 50% Birhor +50% Yukagir @ 2.295154


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


Unmixed Native American (kit M192137):

Admix Results (sorted):

# Population Percent
1 E_Eurasian 75.58
2 W_Eurasian 24.23


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

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

Least-squares method.

Using 1 population approximation:
1 Altaian @ 1.686324
2 Kharia @ 5.924846
3 Great_Andamanese @ 6.830129
4 Birhor @ 7.350073
5 Kyrgyz @ 8.177081
6 Onge @ 9.396663
7 Bhumij @ 9.480144
8 Yukagir @ 9.736913
9 Yukagir @ 9.736913
10 Gond @ 15.393288
11 Sherpa @ 15.514201
12 Paniyas @ 16.138699
13 Nihali @ 21.121679
14 Thai @ 22.443312
15 Changapa @ 23.133221
16 Kattunayakkan @ 23.425608
17 Hazara @ 26.142723
18 Irula @ 27.731430
19 Mongola @ 28.095785
20 Nganasan @ 29.123621

Using 2 populations approximation:
1 50% Kyrgyz +50% Yukagir @ 0.791240
2 50% Kyrgyz +50% Yukagir @ 0.791240
3 50% Hazara +50% Mongola @ 0.980906
4 50% Ami +50% Bengali @ 1.196445
5 50% Bengali +50% Nivkh @ 1.196445
6 50% Bengali +50% Dai @ 1.196501
7 50% Chenchu +50% Ulchi @ 1.206835
8 50% Bengali +50% Han @ 1.213791
9 50% Chenchu +50% Han @ 1.243518
10 50% Ami +50% Chenchu @ 1.252263
11 50% Chenchu +50% Nivkh @ 1.252263
12 50% Chenchu +50% Dai @ 1.252301
13 50% Mala +50% Ulchi @ 1.283897
14 50% Bengali +50% Ulchi @ 1.289442
15 50% Han +50% Mala @ 1.297913
16 50% Ami +50% Mala @ 1.301914
17 50% Mala +50% Nivkh @ 1.301914
18 50% Dai +50% Mala @ 1.301966
19 50% Ami +50% Kamsali @ 1.321784
20 50% Kamsali +50% Nivkh @ 1.321784


Using 3 populations approximation:
1 50% Altaian +25% Hazara +25% Nganasan @ 0.000000


Unmixed Native American (kit M637791):

Admix Results (sorted):

# Population Percent
1 E_Eurasian 74.58
2 W_Eurasian 25.42


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

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

Least-squares method.

Using 1 population approximation:
1 Altaian @ 0.000000
2 Kharia @ 5.194213
3 Great_Andamanese @ 6.105125
4 Birhor @ 6.327569
5 Kyrgyz @ 6.623735
6 Bhumij @ 8.256154
7 Onge @ 10.256041
8 Yukagir @ 11.288272
9 Yukagir @ 11.288272
10 Gond @ 13.948858
11 Paniyas @ 14.787859
12 Sherpa @ 17.073860
13 Nihali @ 19.653416
14 Kattunayakkan @ 21.954786
15 Thai @ 24.001825
16 Hazara @ 24.590527
17 Changapa @ 24.689009
18 Irula @ 26.232796
19 Mongola @ 29.647739
20 Nganasan @ 30.675585

Using 2 populations approximation:
1 50% Altaian +50% Altaian @ 0.000000
2 50% Changapa +50% Hazara @ 0.000000
3 50% Hazara +50% Thai @ 0.562507
4 50% Bengali +50% Ulchi @ 0.872074
5 50% Bengali +50% Han @ 0.913657
6 50% Ami +50% Bengali @ 0.923566
7 50% Bengali +50% Nivkh @ 0.923566
8 50% Bengali +50% Dai @ 0.923601
9 50% Ulchi +50% UP_Chamar @ 1.340246
10 50% Bengali +50% Subba @ 1.377002
11 50% Han +50% UP_Chamar @ 1.378648
12 50% Ami +50% UP_Chamar @ 1.387753
13 50% Nivkh +50% UP_Chamar @ 1.387753
14 50% Dai +50% UP_Chamar @ 1.387790
15 50% Chenchu +50% Subba @ 1.520503
16 50% Ami +50% Kallar @ 1.524083
17 50% Kallar +50% Nivkh @ 1.524083
18 50% Dai +50% Kallar @ 1.524150
19 50% Han +50% Kallar @ 1.533447
20 50% Chenchu +50% Nganasan @ 1.545272


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



Another unmixed Native American (this time ancient DNA sample):

Clovis Anzick-1, Montana, 10700-10550 BC (kit F999919):

Admix Results (sorted):

# Population Percent
1 E_Eurasian 74.24
2 W_Eurasian 24.66
3 SSA 1.10

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

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

Least-squares method.

Using 1 population approximation:
1 Altaian @ 1.390273
2 Kharia @ 4.253368
3 Great_Andamanese @ 5.162654
4 Birhor @ 5.679259
5 Kyrgyz @ 7.049500
6 Bhumij @ 7.863260
7 Onge @ 8.939782
8 Yukagir @ 11.074672
9 Yukagir @ 11.074672
10 Gond @ 13.935334
11 Paniyas @ 14.581216
12 Sherpa @ 16.789351
13 Nihali @ 19.686832
14 Kattunayakkan @ 21.991709
15 Thai @ 23.698168
16 Changapa @ 24.406475
17 Hazara @ 24.915745
18 Irula @ 26.342995
19 Mongola @ 29.382793
20 Nganasan @ 30.409595

Using 2 populations approximation:
1 50% Ami +50% UP_Chamar @ 0.000000
2 50% Chenchu +50% Subba @ 0.000000
3 50% Dai +50% UP_Chamar @ 0.000000
4 50% Han +50% UP_Chamar @ 0.000000
5 50% Mala +50% Subba @ 0.000000
6 50% Nivkh +50% UP_Chamar @ 0.000000
7 50% Ulchi +50% UP_Chamar @ 0.000000
8 50% Hallkipiki +50% Subba @ 0.281488
9 50% Kamsali +50% Ulchi @ 0.480379
10 50% Bengali +50% Ulchi @ 0.547935
11 50% Han +50% Kamsali @ 0.564644
12 50% Bengali +50% Han @ 0.582207
13 50% Dai +50% Kamsali @ 0.584120
14 50% Ami +50% Kamsali @ 0.584152
15 50% Kamsali +50% Nivkh @ 0.584152
16 50% Bengali +50% Dai @ 0.590645
17 50% Ami +50% Bengali @ 0.590713
18 50% Bengali +50% Nivkh @ 0.590713
19 50% Chenchu +50% Tibet-refugees @ 0.788032
20 50% Ami +50% Bhil @ 0.872780

Using 3 populations approximation:
1 50% Altaian +25% Kattunayakkan +25% Thai @ 0.000000

[Lucas]

Native Australian (kit Z905945):



It seems there is no other Abo, or even Abo admixed people on Gedfmatch. One-to-many comparison for him shows no results.

[Peterski]

It seems there is no other Abo, or even Abo admixed people on Gedfmatch. One-to-many comparison for him shows no results.

Either this, or maybe he was from some tribe which got totally extinct?

[Lucas]

Check him on MDLP. there is Auastralian component there. The result are interesting for MDLP K23b

1 Australoid 51.38
2 Melano_Polynesian 39.18
3 South_Indian 4.35
4 South_East_Asian 2.58
5 Archaic_Human 1.86
6 Archaic_African 0.65

Or MDLP K16

1 Australian 46.98
2 Oceanic 31.02
3 Indian 8.49
4 SouthEastAsian 7.02
5 Ancestor 2.13
6 Siberian 2.03
7 Subsaharian 1.13
8 EastAfrican 0.72
9 Amerindian 0.47

1 Australian 9.29
2 Kosipe 36.03
3 Koinanbe 39.91
4 Papuan 59.05
5 Onge 60.96
6 Great_Andamanese 66.27
7 Melanesian 69.84
8 Aeta 71.18
9 Hazara 71.9
10 Gadaba 71.96
11 Mawasi 72.1
12 Roma 72.16
13 Uzbek 72.4
14 Uygur 72.47
15 Bonda 72.51
16 Kharia 72.55
17 Bhunjia 72.55
18 Turkmen 72.63
19 Turkmen 72.65
20 Juang 72.85

[Kelmendasi]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 97.51
2 E_Eurasian 1.90


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

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

Least-squares method.

Using 1 population approximation:
1 Albanian @ 0.000000
2 French @ 0.256438
3 Greek @ 0.601141
4 Croatian @ 0.855815
5 English @ 0.900668
6 Czech @ 0.959286
7 Norwegian @ 1.268949
8 French_South @ 1.422811
9 Bulgarian @ 1.592789
10 Bergamo @ 1.702477
11 Spanish @ 1.777898
12 Hungarian @ 2.087375
13 Lithuanian @ 2.239036
14 Sardinian @ 2.358302
15 LBK_EN @ 2.393509
16 Georgian @ 2.661991
17 Ukrainian @ 3.020548
18 Stuttgart @ 3.189937
19 Armenian @ 3.193414
20 Sicilian @ 3.321280

Using 2 populations approximation:
1 50% Albanian +50% Albanian @ 0.000000
2 50% Albanian +50% French @ 0.000000
3 50% Bergamo +50% Bulgarian @ 0.000000
4 50% Bulgarian +50% French_South @ 0.000000
5 50% Croatian +50% Greek @ 0.000000
6 50% Czech +50% Greek @ 0.000000
7 50% French +50% Greek @ 0.000000
8 50% Georgian +50% Stuttgart @ 0.000000
9 50% Hungarian +50% LBK_EN @ 0.000000
10 50% Hungarian +50% Sardinian @ 0.000000
11 50% LBK_EN +50% Lithuanian @ 0.000000
12 50% LBK_EN +50% Ukrainian @ 0.000000
13 50% Lithuanian +50% Sardinian @ 0.000000
14 50% Bergamo +50% Hungarian @ 0.254338
15 50% French +50% French @ 0.256438
16 50% Sardinian +50% Ukrainian @ 0.294350
17 50% Albanian +50% Greek @ 0.313662
18 50% Albanian +50% Croatian @ 0.323890
19 50% Albanian +50% English @ 0.331146
20 50% Albanian +50% Czech @ 0.367340


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

Done.

Elapsed time 0.0029 seconds.

[Hadouken]

Using 1 population approximation:
1 Albanian @ 0.000000



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



dayum

[Lucas]

Admix Results (sorted):

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

Done.



amazing homogenity:)

[Kelmendasi]

dayum
Hahahaha lol xD. 100% Albo lol

[Kelmendasi]

amazing homogenity:)
Thanks bro :). Pretty amazing lol

[Kelmendasi]

Muh Homogenity :cool:

[Karol Klačansky]

PopulationPercent
1W_Eurasian 95.862
E_Eurasian 3.63

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

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.653926
2 Lithuanian @ 0.672727
3 Georgian @ 0.742975
4 Ukrainian @ 0.775029
5 Bulgarian @ 0.807300
6 Norwegian @ 1.457240
7 Belarusian @ 1.606488
8 Czech @ 1.776911
9 Croatian @ 1.835233
10 Armenian @ 1.993360
11 Estonian @ 2.233504
12 Albanian @ 2.375847
13 French @ 2.559179
14 Greek @ 2.564248
15 Abkhasian @ 2.628585
16 Georgian_Jew @ 3.070384
17 Assyrian @ 3.108355
18 English @ 3.128085
19 Spanish @ 3.204214
20 Loschbour @ 3.225809

Sent from my KIW-L21 using Tapatalk

[Erronkari]

Eurasia K3 Oracle

Admix Results (sorted):


# Population Percent
1 W_Eurasian 93.94
2 E_Eurasian 5.24


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

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

Least-squares method.

Using 1 population approximation:
1 Abkhasian @ 0.257028
2 Estonian @ 1.052549
3 Loschbour @ 1.203853
4 Belarusian @ 1.429337
5 Georgian_Jew @ 1.813618
6 Ukrainian @ 2.158548
7 Georgian @ 2.324647
8 Kurd_N @ 2.509949
9 Armenian @ 2.803318
10 Lithuanian @ 2.944399
11 Iranian_Jew @ 3.032166
12 Hungarian @ 3.035017
13 Bulgarian @ 3.295863
14 Assyrian @ 3.491472
15 Chechen @ 3.554739
16 Norwegian @ 3.952402
17 Ashkenazi_Jew @ 3.970054
18 Czech @ 4.288656
19 Croatian @ 4.354889
20 Iraqi_Jew @ 4.690366

Using 2 populations approximation:
1 50% Adygei +50% Greek @ 0.000000
2 50% Finnish +50% LBK_EN @ 0.000000
3 50% Finnish +50% Sardinian @ 0.000000
4 50% Kurd_N +50% Ukrainian @ 0.000000
5 50% LBK_EN +50% Mordovian @ 0.000000
6 50% Mordovian +50% Sardinian @ 0.000000
7 50% Kurd_N +50% Lithuanian @ 0.251728
8 50% Abkhasian +50% Abkhasian @ 0.257028
9 50% Hungarian +50% Kurd_N @ 0.316578
10 50% Bulgarian +50% Chechen @ 0.330678
11 50% LBK_EN +50% Russian @ 0.372022
12 50% Russian +50% Sardinian @ 0.372022
13 50% Adygei +50% Albanian @ 0.405182
14 50% Georgian_Jew +50% Loschbour @ 0.423850
15 50% Adygei +50% Spanish @ 0.458673
16 50% Estonian +50% Georgian_Jew @ 0.510592
17 50% Adygei +50% French @ 0.564061
18 50% Belarusian +50% Kurd_N @ 0.588668
19 50% Chechen +50% Georgian @ 0.603895
20 50% Adygei +50% French_South @ 0.629414


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

Done.

Elapsed time 0.0032 seconds.

[Ibericus]

Some spaniards :

La Rioja:
E_Eurasian 1.60
SSA -
W_Eurasian 98.40


Balearic :
E_Eurasian 2.41
SSA -
W_Eurasian 97.57


Aragonese:

Population
E_Eurasian 1.45
SSA 0.46
W_Eurasian 98.09


Population
E_Eurasian 0.58
SSA 0.72
W_Eurasian 98.70


Catalans :
E_Eurasian 1.26
SSA 0.30
W_Eurasian 98.43

E_Eurasian 1.48
SSA 0.37
W_Eurasian 98.15


Andalusian :
E_Eurasian 0.96
SSA 0.84
W_Eurasian 98.20

[Hadouken]

Eurasia K3 Oracle

Admix Results (sorted):


# Population Percent
1 W_Eurasian 93.94
2 E_Eurasian 5.24


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

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

Least-squares method.

Using 1 population approximation:
1 Abkhasian @ 0.257028
2 Estonian @ 1.052549
3 Loschbour @ 1.203853
4 Belarusian @ 1.429337
5 Georgian_Jew @ 1.813618
6 Ukrainian @ 2.158548
7 Georgian @ 2.324647
8 Kurd_N @ 2.509949
9 Armenian @ 2.803318
10 Lithuanian @ 2.944399
11 Iranian_Jew @ 3.032166
12 Hungarian @ 3.035017
13 Bulgarian @ 3.295863
14 Assyrian @ 3.491472
15 Chechen @ 3.554739
16 Norwegian @ 3.952402
17 Ashkenazi_Jew @ 3.970054
18 Czech @ 4.288656
19 Croatian @ 4.354889
20 Iraqi_Jew @ 4.690366

Using 2 populations approximation:
1 50% Adygei +50% Greek @ 0.000000
2 50% Finnish +50% LBK_EN @ 0.000000
3 50% Finnish +50% Sardinian @ 0.000000
4 50% Kurd_N +50% Ukrainian @ 0.000000
5 50% LBK_EN +50% Mordovian @ 0.000000
6 50% Mordovian +50% Sardinian @ 0.000000
7 50% Kurd_N +50% Lithuanian @ 0.251728
8 50% Abkhasian +50% Abkhasian @ 0.257028
9 50% Hungarian +50% Kurd_N @ 0.316578
10 50% Bulgarian +50% Chechen @ 0.330678
11 50% LBK_EN +50% Russian @ 0.372022
12 50% Russian +50% Sardinian @ 0.372022
13 50% Adygei +50% Albanian @ 0.405182
14 50% Georgian_Jew +50% Loschbour @ 0.423850
15 50% Adygei +50% Spanish @ 0.458673
16 50% Estonian +50% Georgian_Jew @ 0.510592
17 50% Adygei +50% French @ 0.564061
18 50% Belarusian +50% Kurd_N @ 0.588668
19 50% Chechen +50% Georgian @ 0.603895
20 50% Adygei +50% French_South @ 0.629414


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

Done.

Elapsed time 0.0032 seconds.

http://memecrunch.com/meme/XDTW/mah-nigga/image.png?w=500&c=1

[Ibericus]

Some spaniards :

La Rioja:
E_Eurasian 1.60
SSA -
W_Eurasian 98.40


Balearic :
E_Eurasian 2.41
SSA -
W_Eurasian 97.57


Aragonese:

Population
E_Eurasian 1.45
SSA 0.46
W_Eurasian 98.09


Population
E_Eurasian 0.58
SSA 0.72
W_Eurasian 98.70


Catalans :
E_Eurasian 1.26
SSA 0.30
W_Eurasian 98.43

E_Eurasian 1.48
SSA 0.37
W_Eurasian 98.15


Andalusian :
E_Eurasian 0.96
SSA 0.84
W_Eurasian 98.20

Sardinian HGDP00667 :

E_Eurasian -
SSA 0.60
W_Eurasian 99.40

[Freeroostah]

E_Eurasian 1.37
SSA 1.78
W_Eurasian 96.84


1 Spanish @ 0.426971
2 Greek @ 0.809608
3 Albanian @ 1.323207
4 French @ 1.789788
5 Sicilian @ 1.908967
6 Bulgarian @ 1.999385
7 Cypriot @ 2.035928
8 French_South @ 2.100057
9 Croatian @ 2.138514
10 English @ 2.166154
11 Czech @ 2.226877
12 Bergamo @ 2.308318
13 Norwegian @ 2.354623
14 Sardinian @ 2.385111
15 LBK_EN @ 2.513834
16 Armenian @ 2.524098
17 Georgian @ 2.627234
18 Hungarian @ 2.818769
19 Lithuanian @ 2.976009
20 Assyrian @ 3.008405

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

[Governor]

Eurasia K3 Oracle

Admix Results (sorted):


# Population Percent
1 W_Eurasian 93.94
2 E_Eurasian 5.24


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

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

Least-squares method.

Using 1 population approximation:
1 Abkhasian @ 0.257028
2 Estonian @ 1.052549
3 Loschbour @ 1.203853
4 Belarusian @ 1.429337
5 Georgian_Jew @ 1.813618
6 Ukrainian @ 2.158548
7 Georgian @ 2.324647
8 Kurd_N @ 2.509949
9 Armenian @ 2.803318
10 Lithuanian @ 2.944399
11 Iranian_Jew @ 3.032166
12 Hungarian @ 3.035017
13 Bulgarian @ 3.295863
14 Assyrian @ 3.491472
15 Chechen @ 3.554739
16 Norwegian @ 3.952402
17 Ashkenazi_Jew @ 3.970054
18 Czech @ 4.288656
19 Croatian @ 4.354889
20 Iraqi_Jew @ 4.690366

Using 2 populations approximation:
1 50% Adygei +50% Greek @ 0.000000
2 50% Finnish +50% LBK_EN @ 0.000000
3 50% Finnish +50% Sardinian @ 0.000000
4 50% Kurd_N +50% Ukrainian @ 0.000000
5 50% LBK_EN +50% Mordovian @ 0.000000
6 50% Mordovian +50% Sardinian @ 0.000000
7 50% Kurd_N +50% Lithuanian @ 0.251728
8 50% Abkhasian +50% Abkhasian @ 0.257028
9 50% Hungarian +50% Kurd_N @ 0.316578
10 50% Bulgarian +50% Chechen @ 0.330678
11 50% LBK_EN +50% Russian @ 0.372022
12 50% Russian +50% Sardinian @ 0.372022
13 50% Adygei +50% Albanian @ 0.405182
14 50% Georgian_Jew +50% Loschbour @ 0.423850
15 50% Adygei +50% Spanish @ 0.458673
16 50% Estonian +50% Georgian_Jew @ 0.510592
17 50% Adygei +50% French @ 0.564061
18 50% Belarusian +50% Kurd_N @ 0.588668
19 50% Chechen +50% Georgian @ 0.603895
20 50% Adygei +50% French_South @ 0.629414


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

Done.

Elapsed time 0.0032 seconds.

IMO,very interesting scores for an Iberian.

[Ibericus]

Pure caucasoid :

https://image.ibb.co/gFO3C5/weur.png

[Petalpusher]

Pure caucasoid :

https://image.ibb.co/gFO3C5/weur.png

Basque?

Closest i ve seen so far were people from Piedmont and Lombardy. It's a combination of no SSA and lowest ANE possible (ofc E.Asian too)

[Myanthropologies]

Basque?

Closest i ve seen so far were people from Piedmont and Lombardy. It's a combination of no SSA and lowest ANE possible (ofc E.Asian too)

My guess is that it is a basque or sardinian

[Dick]

# Population Percent
1 W_Eurasian 96.59
2 E_Eurasian 3.41


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

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.407180
3 Norwegian @ 0.654063
4 Bulgarian @ 0.865889
5 Czech @ 1.004431
6 Croatian @ 1.089054
7 Ukrainian @ 1.235394
8 Georgian @ 1.611219
9 French @ 1.902712
10 Albanian @ 1.925371
11 Belarusian @ 2.157975
12 Greek @ 2.239966
13 English @ 2.421800
14 Armenian @ 2.747066
15 Estonian @ 2.821665
16 Spanish @ 3.149342
17 French_South @ 3.217927
18 Abkhasian @ 3.375628
19 Bergamo @ 3.491482
20 Assyrian @ 3.840616

Using 2 populations approximation:
1 50% Belarusian +50% English @ 0.000000
2 50% Belarusian +50% French @ 0.000000

[Lek]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.75
2 E_Eurasian 3.12


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

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

Least-squares method.

Using 1 population approximation:
1 Norwegian @ 0.297623
2 Hungarian @ 0.590346
3 Czech @ 0.697229
4 Bulgarian @ 0.708350
5 Lithuanian @ 0.723076
6 Croatian @ 0.777481
7 Ukrainian @ 1.546135
8 Albanian @ 1.554252
9 French @ 1.577169
10 Georgian @ 1.683935
11 Greek @ 1.898118
12 English @ 2.109629
13 Belarusian @ 2.469798
14 Armenian @ 2.712044
15 Spanish @ 2.831605
16 French_South @ 2.881008
17 Estonian @ 3.133133
18 Bergamo @ 3.156130
19 Abkhasian @ 3.653272
20 Assyrian @ 3.780881

[Ibericus]

Basque?

Closest i ve seen so far were people from Piedmont and Lombardy. It's a combination of no SSA and lowest ANE possible (ofc E.Asian too)
He's aragonese (northern Spain).

[Vascontelo]

# Population Percent
1 W_Eurasian 68.80
2 E_Eurasian 25.53
3 SSA 5.67


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

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

Least-squares method.

Using 1 population approximation:
1 Kurd_SE @ 2.308226
2 Sindhi @ 4.718825
3 Kshatriya @ 5.806338
4 GujaratiA @ 6.473214
5 Tajik @ 7.113609
6 Pathan @ 7.426377
7 Kashmiri_Pandit @ 7.803991
8 Uzbek_Afghan @ 7.809160
9 Pashtun_Afghan @ 8.347445
10 Tajik_Afghan @ 9.021983
11 Turkmen @ 9.084824
12 Kalash @ 9.953805
13 GujaratiB @ 10.157693
14 UP_Brahmin @ 10.367242
15 Burusho @ 10.382686
16 Balochi @ 11.945200
17 Vaish @ 12.031697
18 Brahui @ 12.290848
19 Tajik_Pomiri @ 13.722456
20 Makrani @ 13.789242
(a lot of south asian populations)
Using 3 populations approximation:
1 50% Albanian +25% Mongola +25% Yemen @ 0.000000

[Ibericus]

Catalan :

https://image.ibb.co/gV7nUk/catalan.png

[Hamlet]

E_Eurasian 3.65%
SSA 3.88%
W_Eurasian 92.46%

Not even going to bother with the Oracle, predicted I was an Iranian Jew :picard2:

[Geni]

# Population Percent
1 W_Eurasian 96.18
2 E_Eurasian 3.01


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

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

Least-squares method.

Using 1 population approximation:
1 Bulgarian @ 0.000000
2 Hungarian @ 0.910437
3 Georgian @ 0.941051
4 Lithuanian @ 1.052793
5 Norwegian @ 1.164251
6 Czech @ 1.384663
7 Croatian @ 1.402647
8 Ukrainian @ 1.534027
9 Albanian @ 1.708314
10 Greek @ 1.829601
11 Armenian @ 1.834667
12 French @ 1.975712
13 Belarusian @ 2.361233
14 Spanish @ 2.454307
15 English @ 2.562870
16 Assyrian @ 2.895643
17 Estonian @ 2.977531
18 Sicilian @ 3.062621
19 French_South @ 3.148007
20 Ashkenazi_Jew @ 3.26519

:puppy_dp:

[RN97]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 95.21
2 E_Eurasian 3.97


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

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

Least-squares method.

Using 1 population approximation:
1 Georgian @ 0.570383
2 Ukrainian @ 0.955876
3 Belarusian @ 1.265229
4 Lithuanian @ 1.393808
5 Hungarian @ 1.422487
6 Bulgarian @ 1.496443
7 Armenian @ 1.676656
8 Estonian @ 1.761370
9 Abkhasian @ 1.955341
10 Norwegian @ 2.252395
11 Georgian_Jew @ 2.315567
12 Czech @ 2.565747
13 Croatian @ 2.618520
14 Loschbour @ 2.663681
15 Assyrian @ 2.739830
16 Iranian_Jew @ 2.826070
17 Albanian @ 3.071186
18 Greek @ 3.173661
19 Ashkenazi_Jew @ 3.214146
20 French @ 3.308018

Using 2 populations approximation:
1 50% Abkhasian +50% Bulgarian @ 0.000000
2 50% Armenian +50% Belarusian @ 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% Belarusian +50% Georgian @ 0.267433
7 50% Georgian +50% Ukrainian @ 0.347099
8 50% Loschbour +50% Spanish @ 0.392915
9 50% Armenian +50% Ukrainian @ 0.448380
10 50% Armenian +50% Estonian @ 0.456055
11 50% Greek +50% Loschbour @ 0.458900
12 50% Georgian_Jew +50% Lithuanian @ 0.465476
13 50% French +50% Kurd_N @ 0.469554
14 50% Georgian_Jew +50% Hungarian @ 0.475811
15 50% Georgian_Jew +50% Norwegian @ 0.487329
16 50% Bergamo +50% Chechen @ 0.529801
17 50% Bulgarian +50% Estonian @ 0.532976
18 50% Estonian +50% Georgian @ 0.540310
19 50% French_South +50% Kurd_N @ 0.545409
20 50% Georgian +50% Georgian @ 0.570383


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

[Freeroostah]

# Population Percent
1 W_Eurasian 96.84
2 SSA 1.78
3 E_Eurasian 1.37

Using 1 population approximation:
1 Spanish @ 0.426971
2 Greek @ 0.809608
3 Albanian @ 1.323207
4 French @ 1.789788
5 Sicilian @ 1.908967
6 Bulgarian @ 1.999385
7 Cypriot @ 2.035928
8 French_South @ 2.100057
9 Croatian @ 2.138514
10 English @ 2.166154
11 Czech @ 2.226877
12 Bergamo @ 2.308318
13 Norwegian @ 2.354623
14 Sardinian @ 2.385111
15 LBK_EN @ 2.513834
16 Armenian @ 2.524098
17 Georgian @ 2.627234
18 Hungarian @ 2.818769
19 Lithuanian @ 2.976009
20 Assyrian @ 3.008405

Using 2 populations approximation:
1 50% Armenian +50% LBK_EN @ 0.000000
2 50% Armenian +50% Sardinian @ 0.000000
3 50% Cypriot +50% English @ 0.000000
4 50% Cypriot +50% French @ 0.000000
5 50% English +50% Sicilian @ 0.000000
6 50% French +50% Sicilian @ 0.000000
7 50% Iranian_Jew +50% Stuttgart @ 0.000000
8 50% Greek +50% Spanish @ 0.271927
9 50% Assyrian +50% LBK_EN @ 0.307468
10 50% Ashkenazi_Jew +50% Bergamo @ 0.314621
11 50% French_South +50% Sicilian @ 0.318051
12 50% Ashkenazi_Jew +50% Stuttgart @ 0.331436
13 50% Albanian +50% Sicilian @ 0.337067
14 50% Albanian +50% Cypriot @ 0.384538
15 50% Assyrian +50% Bergamo @ 0.396817
16 50% Ashkenazi_Jew +50% French_South @ 0.412872
17 50% Spanish +50% Spanish @ 0.426971
18 50% Assyrian +50% Stuttgart @ 0.438644
19 50% Assyrian +50% Sardinian @ 0.468139
20 50% Ashkenazi_Jew +50% LBK_EN @ 0.489418


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


(I reposted it by accident)

[MysteriousWays]

# Population Percent
1 W_Eurasian 94.03
2 SSA 3.27
3 E_Eurasian 2.70

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

[Hamlet]

How accurate is this stuff, there's no way in hell I'm 4% SSA...

[Thanas Django]

Greek Cypriot


Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.87
2 SSA 3.00


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

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

Least-squares method.

Using 1 population approximation:
1 Spanish @ 1.322091
2 Cypriot @ 1.460664
3 Sicilian @ 1.693990
4 Greek @ 2.430681
5 Sardinian @ 2.537046
6 LBK_EN @ 2.714002
7 Albanian @ 2.931202
8 French_South @ 3.009043
9 Bergamo @ 3.075694
10 Ashkenazi_Jew @ 3.317303
11 French @ 3.324774
12 Assyrian @ 3.489405
13 English @ 3.506164
14 Armenian @ 3.554276
15 Iraqi_Jew @ 3.564094
16 Bulgarian @ 3.700173
17 Croatian @ 3.841043
18 Czech @ 3.936379
19 Norwegian @ 4.095409
20 Georgian @ 4.111942

Using 2 populations approximation:
1 50% Cypriot +50% Sardinian @ 0.816372
2 50% Cypriot +50% LBK_EN @ 0.894729
3 50% Sardinian +50% Sicilian @ 0.943832
4 50% Iraqi_Jew +50% LBK_EN @ 1.010496
5 50% LBK_EN +50% Sicilian @ 1.014419
6 50% Iraqi_Jew +50% Sardinian @ 1.019279
7 50% Cypriot +50% Spanish @ 1.044408
8 50% Sicilian +50% Spanish @ 1.230965
9 50% Ashkenazi_Jew +50% Sardinian @ 1.245589
10 50% Bergamo +50% Cypriot @ 1.251308
11 50% Iraqi_Jew +50% Stuttgart @ 1.253755
12 50% Ashkenazi_Jew +50% LBK_EN @ 1.265468
13 50% Cypriot +50% French_South @ 1.265640
14 50% Spanish +50% Spanish @ 1.322091
15 50% Cypriot +50% Greek @ 1.398257
16 50% Bergamo +50% Sicilian @ 1.401592
17 50% Bergamo +50% Iraqi_Jew @ 1.435840
18 50% French_South +50% Sicilian @ 1.438528
19 50% Cypriot +50% Cypriot @ 1.460664
20 50% Assyrian +50% Sardinian @ 1.473505


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

[BadSeedXii]

How accurate is this stuff, there's no way in hell I'm 4% SSA...

Not accurate at all. Norweigans get 0.xx SSA but North Italians get none at all? Some of the Spanish results get none? Bullshit. Just go with your 23andme to find out how Caucasoid you are.

I also like how a lot of people are hiding their SSA. Even if its 0.xx whatever. If its there its there. Its either all noise or its all real.

The average sheet shows every European getting small amounts of SSA besides some East European groups.

[Gangrel]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 89.25
2 E_Eurasian 9.25
3 SSA 1.50


Least-squares method.

Using 1 population approximation:
1 Adygei @ 1.630517
2 Kurd_C @ 2.068821
3 Mordovian @ 2.102234
4 Finnish @ 2.226380
5 Russian @ 2.512817
6 Iranian @ 2.991150
7 Chechen @ 3.047836
8 Turkish @ 3.114666
9 Balkar @ 3.926105
10 Kurd_N @ 3.985003
11 Loschbour @ 5.782777
12 Abkhasian @ 6.129723
13 Georgian_Jew @ 6.547221
14 Estonian @ 6.757905
15 Belarusian @ 7.398930
16 Iranian_Jew @ 7.655767
17 Ukrainian @ 8.283765
18 Georgian @ 8.463559
19 Armenian @ 8.489038
20 Assyrian @ 8.562676

Using 2 populations approximation:
1 50% Balochi +50% Stuttgart @ 0.000000
2 50% Brahui +50% Stuttgart @ 0.000000
3 50% Finnish +50% Kurd_C @ 0.000000
4 50% Kurd_C +50% Mordovian @ 0.000000
5 50% Kurd_C +50% Russian @ 0.000000
6 50% Chechen +50% Iranian @ 0.411789
7 50% Balkar +50% Kurd_N @ 0.495942
8 50% Kurd_N +50% Turkish @ 0.532196
9 50% Chechen +50% Turkish @ 0.628651
10 50% Adygei +50% Iranian @ 0.723154
11 50% Bergamo +50% Brahui @ 0.825812
12 50% Brahui +50% LBK_EN @ 0.908727
13 50% Sardinian +50% Tajik_Pomiri @ 0.930259
14 50% Brahui +50% French_South @ 0.939415
15 50% Balochi +50% LBK_EN @ 0.939659
16 50% Balochi +50% Bergamo @ 0.953173
17 50% LBK_EN +50% Tajik_Pomiri @ 0.979083
18 50% Brahui +50% Sardinian @ 0.997051
19 50% Adygei +50% Kurd_C @ 1.023677
20 50% Balochi +50% Sardinian @ 1.028035


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

wtf is this calc lmao

[BadSeedXii]

How accurate is this stuff, there's no way in hell I'm 4% SSA...

I think this shit is ancient. It even shows Northern Europeans getting SSA. Everybody has a bit of SSA anyways from OoA.

Must be out of Africa stuff. Sure as hell not anything within the last 500 years or it would appear on your 23andme. You cant trace this stuff.

It says that Europeans peak at just above 95%. Thats the max you can get as a European.

[Lucas]

1 W_Eurasian 96.28
2 E_Eurasian 3.72


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 @ 0.790877
4 Bulgarian @ 1.025530
5 Norwegian @ 1.098781
6 Georgian @ 1.399093
7 Czech @ 1.449123
8 Croatian @ 1.533285
9 Belarusian @ 1.713192
10 Albanian @ 2.307962
11 French @ 2.361709
12 Estonian @ 2.376882
13 Greek @ 2.607331
14 Armenian @ 2.639687
15 English @ 2.866267
16 Abkhasian @ 2.941664
17 Loschbour @ 3.396817
18 Spanish @ 3.439280
19 French_South @ 3.652454
20 Georgian_Jew @ 3.683117

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% English +50% Estonian @ 0.000000
5 50% English +50% Loschbour @ 0.000000
6 50% Estonian +50% French @ 0.000000
7 50% Hungarian +50% Hungarian @ 0.000000
8 50% Hungarian +50% Lithuanian @ 0.000000
9 50% Lithuanian +50% Lithuanian @ 0.000000
10 50% Norwegian +50% Ukrainian @ 0.000000
11 50% Hungarian +50% Ukrainian @ 0.252708
12 50% Czech +50% Ukrainian @ 0.253688
13 50% Croatian +50% Ukrainian @ 0.297138
14 50% French_South +50% Loschbour @ 0.299300
15 50% Belarusian +50% French @ 0.301038
16 50% Abkhasian +50% English @ 0.352250
17 50% Lithuanian +50% Ukrainian @ 0.376673
18 50% Croatian +50% Estonian @ 0.423731
19 50% Bergamo +50% Loschbour @ 0.434179
20 50% Albanian +50% Estonian @ 0.438158

[Dick]

# Population Percent
1 W_Eurasian 96.59
2 E_Eurasian 3.41


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

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.407180
3 Norwegian @ 0.654063
4 Bulgarian @ 0.865889
5 Czech @ 1.004431
6 Croatian @ 1.089054
7 Ukrainian @ 1.235394
8 Georgian @ 1.611219
9 Albanian @ 1.902712
10 French @ 1.925371
11 Belarusian @ 2.157975
12 Greek @ 2.239966
13 English @ 2.421800
14 Armenian @ 2.747066
15 Estonian @ 2.821665
16 Spanish @ 3.149342
17 French_South @ 3.217927
18 Abkhasian @ 3.375628
19 Bergamo @ 3.491482
20 Assyrian @ 3.840616

Using 2 populations approximation:
1 50% Belarusian +50% French @ 0.000000
2 50% Belarusian +50% English @ 0.000000
3 50% Croatian +50% Ukrainian @ 0.000000
4 50% Czech +50% Lithuanian @ 0.000000
5 50% Czech +50% Ukrainian @ 0.000000
6 50% English +50% Estonian @ 0.000000
7 50% Hungarian +50% Hungarian @ 0.000000
8 50% Hungarian +50% Norwegian @ 0.000000
9 50% Lithuanian +50% Norwegian @ 0.000000
10 50% Norwegian +50% Ukrainian @ 0.000000
11 50% Hungarian +50% Lithuanian @ 0.262726
12 50% Croatian +50% Lithuanian @ 0.263433
13 50% Czech +50% Hungarian @ 0.284833
14 50% French +50% Ukrainian @ 0.324733
15 50% Croatian +50% Hungarian @ 0.328283
16 50% Estonian +50% French_South @ 0.396416
17 50% Lithuanian +50% Lithuanian @ 0.407180
18 50% Estonian +50% French @ 0.417419
19 50% Bergamo +50% Loschbour @ 0.425875
20 50% Bulgarian +50% Lithuanian @ 0.446770

[oszkar07]

Eurasia K3 Oracle

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

[Dick]

# Population Percent
1 W_Eurasian 96.59
2 E_Eurasian 3.41


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

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.407180
3 Norwegian @ 0.654063
4 Bulgarian @ 0.865889
5 Czech @ 1.004431


From my Livingdna raw data. Totally different.


# Population Percent
1 W_Eurasian 98.44
2 SSA 1.56


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

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

Least-squares method.

Using 1 population approximation:
1 Sardinian @ 0.403510
2 LBK_EN @ 0.580569
3 Bergamo @ 1.212287
4 French_South @ 1.311653
5 Spanish @ 1.884811

1 50% Sardinian +50% Sardinian @ 0.403510

[Dibran]

From my Livingdna raw data. Totally different.


# Population Percent
1 W_Eurasian 98.44
2 SSA 1.56


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

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

Least-squares method.

Using 1 population approximation:
1 Sardinian @ 0.403510
2 LBK_EN @ 0.580569
3 Bergamo @ 1.212287
4 French_South @ 1.311653
5 Spanish @ 1.884811

1 50% Sardinian +50% Sardinian @ 0.403510

Yea K3 on LivingDNA sucks. It says I'm Spanish and Croatian. Lol.

[Dick]

Yea K3 on LivingDNA sucks. It says I'm Spanish and Croatian. Lol.

K3 isn't for modern or ancestry, it was made for ancient genomes. I always wanted to come out as a Sardinian on gedmatch anyway xD They have hot women.


http://2.bp.blogspot.com/-4bxM1vVRlYk/Uc3BFGd6C_I/AAAAAAAAAEQ/AEXiR2m0qX8/s524/sardinians+sardinian+people+(32).jpg

[Dibran]

K3 isn't for modern or ancestry, it was made for ancient genomes. I always wanted to come out as a Sardinian on gedmatch anyway xD They have hot women.


http://2.bp.blogspot.com/-4bxM1vVRlYk/Uc3BFGd6C_I/AAAAAAAAAEQ/AEXiR2m0qX8/s524/sardinians+sardinian+people+(32).jpg

Their women are unbelievable. I honestly would marry a Sardinian woman if not an Albanian. lol Here is my K3 for all kits. It was actually K6 that fucked with my LivingDNA results. Not so much K3.

Ancestry:

Admix Results (sorted):

# Population Percent
1 W_Eurasian 98.61
2 SSA 1.39


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

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

Least-squares method.

Using 1 population approximation:
1 LBK_EN @ 0.000000
2 Sardinian @ 0.000000

Using 2 populations approximation:
1 50% LBK_EN +50% LBK_EN @ 0.000000
2 50% LBK_EN +50% Sardinian @ 0.000000
3 50% Sardinian +50% Sardinian @ 0.000000



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


23andme:

Admix Results (sorted):

# Population Percent
1 W_Eurasian 98.30
2 E_Eurasian 1.05


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

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

Least-squares method.

Using 1 population approximation:
1 French_South @ 0.000000



Using 2 populations approximation:
1 50% Albanian +50% Bergamo @ 0.000000
2 50% Bergamo +50% French @ 0.000000
3 50% Croatian +50% LBK_EN @ 0.000000
4 50% English +50% LBK_EN @ 0.000000
5 50% English +50% Sardinian @ 0.000000
6 50% French +50% LBK_EN @ 0.000000
7 50% French +50% Sardinian @ 0.000000
8 50% French_South +50% French_South @ 0.000000


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


LivingDNA:

Admix Results (sorted):

# Population Percent
1 W_Eurasian 98.48
2 SSA 1.15


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

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

Least-squares method.

Using 1 population approximation:
1 Sardinian @ 0.369419
2 LBK_EN @ 0.523845
3 Bergamo @ 0.637424


Using 2 populations approximation:
1 50% Bergamo +50% Sardinian @ 0.000000
2 50% French_South +50% Sardinian @ 0.000000
3 50% Spanish +50% Stuttgart @ 0.000000


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

Done.

Elapsed time 0.0224 seconds.

My Father:

Admix Results (sorted):

# Population Percent
1 W_Eurasian 97.79
2 E_Eurasian 2.02


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

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

Least-squares method.

Using 1 population approximation:
1 French @ 0.000000


Using 2 populations approximation:
1 50% Bergamo +50% Norwegian @ 0.000000
2 50% Croatian +50% English @ 0.000000
3 50% Czech +50% English @ 0.000000
4 50% Czech +50% French_South @ 0.000000
5 50% French +50% French @ 0.000000
6 50% French_South +50% Norwegian @ 0.000000
7 50% Stuttgart +50% Ukrainian @ 0.000000



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


My Mom:


Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.41
2 SSA 2.57
3 E_Eurasian 1.02


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

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

Least-squares method.

Using 1 population approximation:
1 Spanish @ 0.750666
2 Sicilian @ 1.051431
3 Cypriot @ 1.092261


Using 2 populations approximation:
1 50% Ashkenazi_Jew +50% Sardinian @ 0.000000
2 50% Cypriot +50% Spanish @ 0.000000
3 50% Iraqi_Jew +50% LBK_EN @ 0.000000
4 50% Iraqi_Jew +50% Sardinian @ 0.000000
5 50% Sicilian +50% Spanish @ 0.000000



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

[Rethel]

http://2.bp.blogspot.com/-4bxM1vVRlYk/Uc3BFGd6C_I/AAAAAAAAAEQ/AEXiR2m0qX8/s524/sardinians+sardinian+people+(32).jpg

This is rather IE looking woman, than typical farmerian/wuhagean Sardinian

[Bobby Martnen]

Pretty sure this calculator is most useful for people who are recently racially mixed

[alnortedelsur]

With my 23AndMe Kit:

E_Eurasian 6.20
SSA 7.16
W_Eurasian 86.64

With my Ancestry DNA Kit:

E_Eurasian 5.08
SSA 7.45
W_Eurasian 87.47

[Ashlyn]

Test 1
# Population Percent
1 W_Eurasian 96.22
2 E_Eurasian 3.64

Least-squares method.
Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.000000
3 Ukrainian @ 0.810831
4 Bulgarian @ 0.878398
5 Norwegian @ 1.083040
6 Georgian @ 1.262736
7 Czech @ 1.432051
8 Croatian @ 1.513685
9 Belarusian @ 1.734201
10 Albanian @ 2.234833
11 French @ 2.311274
12 Estonian @ 2.397203
13 Armenian @ 2.483278
14 Greek @ 2.510308
15 English @ 2.846025
16 Abkhasian @ 2.926118
17 Spanish @ 3.310603
18 Loschbour @ 3.416602
19 Georgian_Jew @ 3.574551
20 Assyrian @ 3.595158

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% Croatian @ 0.000000
5 50% Belarusian +50% Czech @ 0.000000
6 50% Belarusian +50% French @ 0.000000
7 50% Bergamo +50% Loschbour @ 0.000000
8 50% Bulgarian +50% Ukrainian @ 0.000000
9 50% English +50% Estonian @ 0.000000
10 50% English +50% Loschbour @ 0.000000
11 50% Estonian +50% French @ 0.000000
12 50% French_South +50% Loschbour @ 0.000000
13 50% Hungarian +50% Hungarian @ 0.000000
14 50% Hungarian +50% Lithuanian @ 0.000000
15 50% Lithuanian +50% Lithuanian @ 0.000000
16 50% Norwegian +50% Ukrainian @ 0.000000
17 50% Czech +50% Ukrainian @ 0.265160
18 50% Hungarian +50% Ukrainian @ 0.268077
19 50% Croatian +50% Ukrainian @ 0.280403
20 50% Belarusian +50% Norwegian @ 0.291077

Test 2
# Population Percent
1 W_Eurasian 97.71
2 E_Eurasian 2.19
3. SSA 0.10

Least-squares method.
Using 1 population approximation:
1 French @ 0.285030
2 Croatian @ 0.558673
3 Czech @ 0.643287
4 Albanian @ 0.742773
5 English @ 0.774517
6 Norwegian @ 0.993452
7 Greek @ 1.246006
8 French_South @ 1.608054
9 Bulgarian @ 1.694166
10 Bergamo @ 1.870816
11 Hungarian @ 1.924964
12 Lithuanian @ 2.054147
13 Spanish @ 2.387127
14 LBK_EN @ 2.686905
15 Sardinian @ 2.688203
16 Georgian @ 2.807067
17 Ukrainian @ 2.880934
18 Stuttgart @ 3.171900
19 Armenian @ 3.536636
20 Belarusian @ 3.804401

Using 2 populations approximation:
1 50% Bergamo +50% Hungarian @ 0.000000
2 50% Bergamo +50% Lithuanian @ 0.000000
3 50% Croatian +50% English @ 0.000000
4 50% Croatian +50% French @ 0.000000
5 50% Czech +50% English @ 0.000000
6 50% Czech +50% French @ 0.000000
7 50% English +50% Norwegian @ 0.000000
8 50% Stuttgart +50% Ukrainian @ 0.000000
9 50% Belarusian +50% Stuttgart @ 0.272870
10 50% French_South +50% Hungarian @ 0.274063
11 50% French_South +50% Norwegian @ 0.280180
12 50% French +50% French @ 0.285030
13 50% French_South +50% Lithuanian @ 0.299767
14 50% French +50% Norwegian @ 0.307571
15 50% Bergamo +50% Norwegian @ 0.379680
16 50% Czech +50% French_South @ 0.407530
17 50% Albanian +50% Czech @ 0.437636
18 50% Albanian +50% Croatian @ 0.444174
19 50% Croatian +50% French_South @ 0.450980
20 50% English +50% French @ 0.513892

[FranKCasTLe]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 92.94
2 E_Eurasian 5.84
3 SSA 1.21

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

Least-squares method.

Using 1 population approximation:
1 Abkhasian @ 1.276786
2 Kurd_N @ 1.298306
3 Loschbour @ 1.555082
4 Georgian_Jew @ 1.952137
5 Estonian @ 2.097466
6 Belarusian @ 2.608810
7 Chechen @ 2.626400
8 Iranian_Jew @ 3.304370
9 Ukrainian @ 3.383558
10 Georgian @ 3.427116
11 Armenian @ 3.607944
12 Assyrian @ 4.006780
13 Lithuanian @ 4.169114
14 Hungarian @ 4.256758
15 Adygei @ 4.283652
16 Kurd_C @ 4.366868
17 Ashkenazi_Jew @ 4.434501
18 Bulgarian @ 4.467043
19 Iraqi_Jew @ 5.003459
20 Norwegian @ 5.167574

Using 2 populations approximation:
1 50% Abkhasian +50% Kurd_N @ 0.000000
2 50% Bergamo +50% Turkish @ 0.000000
3 50% Finnish +50% Spanish @ 0.000000
4 50% Kurd_C +50% Lithuanian @ 0.000000
5 50% LBK_EN +50% Turkish @ 0.000000
6 50% Mordovian +50% Spanish @ 0.000000
7 50% French_South +50% Turkish @ 0.267476
8 50% Hungarian +50% Kurd_C @ 0.272608
9 50% Adygei +50% Armenian @ 0.273933
10 50% Russian +50% Spanish @ 0.284720
11 50% Sardinian +50% Turkish @ 0.295359
12 50% Estonian +50% Kurd_N @ 0.423461
13 50% Chechen +50% Georgian_Jew @ 0.458079
14 50% Chechen +50% Iranian_Jew @ 0.468808
15 50% Kurd_N +50% Loschbour @ 0.469497
16 50% Kurd_C +50% Ukrainian @ 0.480446
17 50% Armenian +50% Chechen @ 0.532785
18 50% Balkar +50% Sardinian @ 0.533662
19 50% Kurd_C +50% Norwegian @ 0.578487
20 50% Balkar +50% LBK_EN @ 0.580924


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

[Iloko]

Chromosome Painting:
https://i.imgur.com/ru0RE6M.jpg

[MysteriousWays]

Bizarre results....


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

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

[Thambi]

# 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

[Jana]

Mine

1 W_Eurasian 97.37
2 E_Eurasian 2.63

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

Least-squares method.

Using 1 population approximation:
1 Croatian @ 0.000000 :thumb001::thumb001::thumb001:
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

[Jana]

Stears

1 W_Eurasian 94.27
2 E_Eurasian 5.51

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

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

[Astarte]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 93.86
2 SSA 4.64
3 E_Eurasian 1.50


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

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

Least-squares method.

Using 1 population approximation:
1 Iraqi_Jew @ 0.665633
2 Ashkenazi_Jew @ 1.535818
3 Assyrian @ 2.008992
4 Sicilian @ 2.252015
5 Cypriot @ 2.297262
6 Iranian_Jew @ 2.325799
7 Armenian @ 3.094609
8 Georgian_Jew @ 3.678475
9 Spanish @ 4.059359
10 Georgian @ 4.342122
11 Bulgarian @ 4.878732
12 Greek @ 4.926480
13 Albanian @ 5.333394
14 Hungarian @ 5.596703
15 Ukrainian @ 5.664218
16 Lithuanian @ 5.687103
17 Abkhasian @ 5.687718
18 Norwegian @ 5.793637
19 Croatian @ 5.818439
20 French @ 5.818614

Using 2 populations approximation:
1 50% LBK_EN +50% Lebanese @ 0.000000
2 50% Lebanese +50% Sardinian @ 0.000000
3 50% Stuttgart +50% Syrian @ 0.000000
4 50% Bergamo +50% Lebanese @ 0.302773
5 50% English +50% Saudi @ 0.306978
6 50% French_South +50% Lebanese @ 0.415913
7 50% French +50% Saudi @ 0.522582
8 50% Iraqi_Jew +50% Iraqi_Jew @ 0.665633
9 50% Croatian +50% Saudi @ 0.671805
10 50% Czech +50% Saudi @ 0.691509
11 50% English +50% Yemenite_Jew @ 0.710754
12 50% Albanian +50% Saudi @ 0.763988
13 50% French_South +50% Saudi @ 0.792352
14 50% Norwegian +50% Saudi @ 0.811670
15 50% Czech +50% Yemenite_Jew @ 0.815080
16 50% Croatian +50% Yemenite_Jew @ 0.821944
17 50% French +50% Yemenite_Jew @ 0.826856
18 50% English +50% Lebanese @ 0.840682
19 50% Greek +50% Lebanese @ 0.864147
20 50% Bergamo +50% Saudi @ 0.869065


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

[Freeroostah]

# Population Percent
1 W_Eurasian 96.54
2 SSA 1.75
3 E_Eurasian 1.71


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

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

Least-squares method.

Using 1 population approximation:
1 Spanish @ 0.840902
2 Greek @ 0.988988
3 Albanian @ 1.378443
4 Bulgarian @ 1.639303
5 Sicilian @ 1.818748
6 French @ 1.861357
7 Cypriot @ 2.021518
8 Croatian @ 2.031152
9 Armenian @ 2.085700
10 Czech @ 2.104737
11 Norwegian @ 2.176057
12 Georgian @ 2.184516
13 English @ 2.335664
14 French_South @ 2.424428
15 Hungarian @ 2.493816
16 Lithuanian @ 2.642743
17 Assyrian @ 2.651758
18 Bergamo @ 2.655331
19 Ashkenazi_Jew @ 2.791165
20 Sardinian @ 2.817821

Using 2 populations approximation:
1 50% Albanian +50% Sicilian @ 0.000000
2 50% Ashkenazi_Jew +50% English @ 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% Croatian +50% Cypriot @ 0.000000
7 50% Croatian +50% Sicilian @ 0.000000
8 50% Cypriot +50% Czech @ 0.000000
9 50% Cypriot +50% Norwegian @ 0.000000
10 50% Czech +50% Sicilian @ 0.000000
11 50% French +50% Sicilian @ 0.000000
12 50% Ashkenazi_Jew +50% Bergamo @ 0.250315
13 50% Armenian +50% Sardinian @ 0.280113
14 50% Iranian_Jew +50% Stuttgart @ 0.305573
15 50% Cypriot +50% French @ 0.306386
16 50% Bergamo +50% Iranian_Jew @ 0.340477
17 50% Armenian +50% LBK_EN @ 0.342720
18 50% Norwegian +50% Sicilian @ 0.363814
19 50% Armenian +50% French_South @ 0.386235
20 50% Assyrian +50% English @ 0.390215


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

[TEUTORIGOS]

LOL, at Greeks and Italians getting above 1% SSA :P

Gedrosia calculators in general are optimized for individuals with predominantly S Asian or W Asian Ancestry So I would not be surprised if it overestimated my E_Eurasian component :

Population :
E_Eurasian 3.44
SSA 0.42
W_Eurasian 96.14

However, I am well within the modern European normal range which is 95% W_Eurasian and above.

[BadSeedXii]

LOL, at Greeks and Italians getting above 1% SSA :P

Gedrosia calculators in general are optimized for individuals with predominantly S Asian or W Asian Ancestry So I would not be surprised if it overestimated my E_Eurasian component :

Population :
E_Eurasian 3.44
SSA 0.42
W_Eurasian 96.14

However, I am well within the modern European normal range which is 95% W_Eurasian and above.

Why are you laughing at Greeks and Italians when you have some SSA yourself? You can use the 1 drop rule if you want to play that game and it looks like you have 42 drops LOL.

Anyways, there is virtually NO meaningful difference between 0.40 and 1.01. You'd literally be splitting hairs with 0.61%.

Besides, the average White American has some RECENT SSA in them as per 23andme's average due to the colonial nature of the country and slavery. At least the SSA if it exists, in Greeks and Italians, is ancient and not recent. You can't say the same for the average White American where admixture has only taken place in the last 500 years with Amerindians and Blacks.

"The researchers found that European-Americans had genomes that were on average 98.6 percent European, .19 percent African, and .18 Native American." - https://www.nytimes.com/2014/12/25/science/23andme-genetic-ethnicity-study.html

All Europeans have Basal SSA in them. A few %. Nobody is free of it. This calculator measures ancient genomes I think but does it relatively poorly.

This calculator isn't meant for modern day individuals. The results are wrong and they overestimate the results of SSA for Southern Europeans. I saw someone who was only HALF Italian get 1% SSA. That doesn't make any sense given what we know about admixture in Southern Europeans.

Some Spaniards and Northern Italians get no SSA but Norweigans get 0.08? Bullshit. Norweigans OBVIOUSLY have less SSA than Spaniards, it just makes logical sense. Basques included. The calculator is fucked.

You're better off using Eurogenes.

[BadSeedXii]

Basque?

Closest i ve seen so far were people from Piedmont and Lombardy. It's a combination of no SSA and lowest ANE possible (ofc E.Asian too)

Calculator is wrong. Full Spaniards definetley have SSA. More than Italians or Greeks. You know it's wrong when it shows a Spanish person as 100% W_Eurasian but a Norweigan person as having 0.08% SSA.

[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.

[MercifulServant]

LOL, at Greeks and Italians getting above 1% SSA :P

Gedrosia calculators in general are optimized for individuals with predominantly S Asian or W Asian Ancestry So I would not be surprised if it overestimated my E_Eurasian component :

Population :
E_Eurasian 3.44
SSA 0.42
W_Eurasian 96.14

However, I am well within the modern European normal range which is 95% W_Eurasian and above.

I get 0 SSA :)

[BadSeedXii]

I get 0 SSA :)

Which is weird. You should be getting MORE than him. Maybe 0.70 or something. Someone who is half Italian and half British Isles would get something like 0.50 maybe. Not a full 1%.

[MercifulServant]

Which is weird. You should be getting MORE than him. Maybe 0.70 or something. Someone who is half Italian and half British Isles would get something like 0.50 maybe. Not a full 1%.

Maybe he has SSA ancestry from his colonial ancestry? Anyway east euros get the least SSA on this calc

[Mingle]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 76.84
2 E_Eurasian 22.49


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

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

Least-squares method.

Using 1 population approximation:
1 Kalash @ 0.875063
2 Pashtun_Afghan @ 2.040473
3 Pathan @ 3.381350
4 Tajik_Pomiri @ 4.235291
5 Tajik @ 4.724764
6 Balochi @ 4.730951
7 Brahui @ 5.142282
8 Sindhi @ 8.136849
9 Makrani @ 8.595999
10 Kurd_SE @ 8.719962
11 GujaratiA @ 10.770365
12 Kshatriya @ 10.986843
13 Kashmiri_Pandit @ 12.389088
14 Uzbek_Afghan @ 12.566777
15 Tajik_Afghan @ 14.371593
16 Balkar @ 14.460731
17 Turkmen @ 14.941436
18 Turkish @ 15.081805
19 GujaratiB @ 16.217466
20 UP_Brahmin @ 16.249363

Using 2 populations approximation:
1 50% Albanian +50% Hazara_Afghan @ 0.000000
2 50% Balkar +50% Tajik_Afghan @ 0.000000
3 50% Balkar +50% Turkmen @ 0.000000
4 50% Chechen +50% Punjabi @ 0.000000
5 50% Croatian +50% UP_Muslim @ 0.000000
6 50% Czech +50% UP_Muslim @ 0.000000
7 50% Greek +50% Hazara_Afghan @ 0.000000
8 50% GujaratiB +50% Russian @ 0.000000
9 50% Kanjar +50% Norwegian @ 0.000000
10 50% Norwegian +50% UP_Muslim @ 0.000000
11 50% Stuttgart +50% UP_Caste @ 0.000000
12 50% Burusho +50% Russian @ 0.272143
13 50% Stuttgart +50% Uzbek @ 0.282693
14 50% Russian +50% UP_Brahmin @ 0.295343
15 50% Hungarian +50% Kanjar @ 0.296188
16 50% English +50% Velama @ 0.313757
17 50% GujaratiD +50% Ukrainian @ 0.315556
18 50% Finnish +50% GujaratiB @ 0.318237
19 50% Kanjar +50% Lithuanian @ 0.321884
20 50% French +50% UP_Muslim @ 0.331896


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

[BadSeedXii]

Maybe he has SSA ancestry from his colonial ancestry? Anyway east euros get the least SSA on this calc

I know that. Polish and Russian get the least. I still think a lot of the calculations are off and have a margin of error though.

[MercifulServant]

Anyway I think this calc overestimates the amount of E Eurasian euros have as usually on other calcs I get 1-2% Mong

[Mingle]

South Eurasian shouldn't have been included under East Eurasian -_- Would have been a much better calc if it wasn't.

[Mingle]

Anyway I think this calc overestimates the amount of E Eurasian euros have as usually on other calcs I get 1-2% Mong

Not only Euros, but everybody.

[BadSeedXii]

I think the SSA estimations for Southern Euros are off as well. Sicilians are 3% SSA on the average sheet? No way. Dodecads project has full Sicilians at 1% or 0.7 I think. I can't remember but not 3%.

I got no SSA on my 23andme test but a bit on this calculator. Doesn't match up. I trust the 23andme test. With calculators there are so many and they give different results. No way in hell you know which one is the right one.

[Maintenance]

get on my level

Using 1 population approximation:
1 Abkhasian @ 0.000000
2 Georgian_Jew @ 1.394335
3 Georgian @ 1.453113

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

[MercifulServant]

I think the SSA estimations for Southern Euros are off as well. Sicilians are 3% SSA on the average sheet? No way. Dodecads project has full Sicilians at 1% or 0.7 I think. I can't remember but not 3%.

I got no SSA on my 23andme test but a bit on this calculator. Doesn't match up. I trust the 23andme test. With calculators there are so many and they give different results. No way in hell you know which one is the right one.

What did you score on this calc?

[BadSeedXii]

What did you score on this calc?

1.58. I'm only half Italian though. Half British Isles and 10% Polish. No SSA on my 23andme test. No colonial ancestry.

If someone who is fully Sicilian is 1% SSA and I'm only half Italian there's no way my % is correct.

Other calculators give me no SSA. Eurogenes and Dodecad give me no SSA.

[MercifulServant]

1.58. I'm only half Italian though. Half British Isles and 10% Polish. No SSA on my 23andme test. No colonial ancestry.

If someone who is fully Sicilian is 1% SSA and I'm only half Italian there's no way my % is correct.

Other calculators give me no SSA. Eurogenes and Dodecad give me no SSA.

The calc is BS as are most calcs on gedmatch I only trust a few Gedmatch calcs like Dodecad k12b and eurogenes k13

[BadSeedXii]

The calc is BS as are most calcs on gedmatch I only trust a few Gedmatch calcs like Dodecad k12b and eurogenes k13

I trust the 23andme test the most since it was actually done in a lab. These calculators are made by "enthusiasts".

Dodecad is good though. Eurogenes is reputable as well. The other ones are garbage.

[Mingle]

I trust the 23andme test the most since it was actually done in a lab. These calculators are made by "enthusiasts".

Dodecad is good though. Eurogenes is reputable as well. The other ones are garbage.

23andMe is wayyyyy worse than GEDmatch.

All they did in the lab was extract the DNA. The data for what percentage European, etc. you are is just 23andMe's calc designed for New World mongrels who want to know what country their ancestors are from. GEDmatch completely blows 23andMe out of the water. There are some bad GEDmatch calcs like Gedrosia K3, but most of them are better at interpreting your ancestry than 23andMe is.

[BadSeedXii]

23andMe is wayyyyy worse than GEDmatch.

All they did in the lab was extract the DNA. The data for what percentage European, etc. you are is just 23andMe's calc designed for New World mongrels who want to know what country their ancestors are from. GEDmatch completely blows 23andMe out of the water. There are some bad GEDmatch calcs like Gedrosia K3, but most of them are better at interpreting your ancestry than 23andMe is.
Not really. Most of the GEDmatch calculators are shit. If someone is 3% SSA, it's going to come out on a 23andme test. That's too big of a % to not show up. These calculators are made by random people. I trust a lab that is certified more then I do some random calculator.

I'd say the only good ones at interpreting your ancestry are Eurogenes and Dodecad.

[MercifulServant]

23andMe is wayyyyy worse than GEDmatch.

All they did in the lab was extract the DNA. The data for what percentage European, etc. you are is just 23andMe's calc designed for New World mongrels who want to know what country their ancestors are from. GEDmatch completely blows 23andMe out of the water. There are some bad GEDmatch calcs like Gedrosia K3, but most of them are better at interpreting your ancestry than 23andMe is.

GEDmatch is shit and gives very different results on every other calc

[BadSeedXii]

GEDmatch is shit and gives very different results on every other calc

23andme is very good for SSA and East Eurasian because that DNA is so distinct from other groups. If you don't show any then it's safe to say you don't have any.

[MercifulServant]

23andme is very good for SSA and East Eurasian because that DNA is so distinct from other groups. If you don't show any then it's safe to say you don't have any.

I took AncestryDNA and I am 100% West Eurasian according to them at the end of the day the test that you payed for is more accurate

[BadSeedXii]

I took AncestryDNA and I am 100% West Eurasian according to them at the end of the day the test that you payed for is more accurate

23andme was only able to calculate 99.6% of my ancestry and it was all European with some tiny "Yakut" that went away on Conservative mode. Also had something like 0.2% Ashkenazi and 0.1% MENA on Conservative mode. I think those were just noise results though.

[Mingle]

Not really. Most of the GEDmatch calculators are shit. If someone is 3% SSA, it's going to come out on a 23andme test. That's too big of a % to not show up. These calculators are made by random people. I trust a lab that is certified more then I do some random calculator.

I'd say the only good ones at interpreting your ancestry are Eurogenes and Dodecad.

23andMe just tells you that you're a mix of every population that settled in your region and they define regions (East Europe, South Asia, etc) based on political borders and their subjective opinion.

23andMe tells me I'm 87.5% South Asian, 11.5% Middle Eastern, 0.4% Southern European, and 0.6% undefined. However, I get significant European admixtures on most GEDmatch calcs (~20%), and have never gotten more than 35% South Asian (South Asian is defined by different components on different calcs) on any calcs.

I posted my results in this thread in case you're curious: https://www.theapricity.com/forum/showthread.php?233773-Mingle-s-23andMe-Results

The lab just extracts DNA, it doesn't create a calculator.

[MercifulServant]

23andme was only able to calculate 99.6% of my ancestry and it was all European with some tiny "Yakut" that went away on Conservative mode. Also had something like 0.2% Ashkenazi and 0.1% MENA on Conservative mode. I think those were just noise results though.

Yeah most likely noise. AncestryDNA misinterprets a lot of South Euro ancestry for Caucasus and MENA, I have seen someone get 9% Caucasus on it

[BadSeedXii]

23andMe just tells you that you're a mix of every population that settled in your region and they define regions (East Europe, South Asia, etc) based on political borders and their subjective opinion.

23andMe tells me I'm 87.5% South Asian, 11.5% Middle Eastern, 0.4% Southern European, and 0.6% undefined. However, I get significant European admixtures on most GEDmatch calcs (~20%), and have never gotten more than 35% South Asian (South Asian is defined by different components on different calcs) on any calcs.

I posted my results in this thread in case you're curious: https://www.theapricity.com/forum/showthread.php?233773-Mingle-s-23andMe-Results

The lab just extracts DNA, it doesn't create a calculator.

On a continent level it's extremely accurate when it comes to distinguishing SSA from East Asian and European though. Those aren't borders, those are distinct human genetic races.

I don't need a "calculator" made by enthusiasts. I want an ISO certified lab to give me my results. At least with the lab you get ONE solid result. With these calculators you get 20 different results.

[Mingle]

On a continent level it's extremely accurate when it comes to distinguishing SSA from East Asian and European though. Those aren't borders, those are distinct human genetic races.

I don't need a "calculator" made by enthusiasts. I want an ISO certified lab to give me my results. At least with the lab you get ONE solid result. With these calculators you get 20 different results.

23andMe tells you that you're a mix of every single genetic populace that lived in your homeland. Wow, very accurate and informative.

If you don't get any SSA in most GEDmatch calcs, then it's most likely just noise. Since SSA is typical for some groups, it doesn't show up on 23andMe since SSA is treated as if it's native to where they are from.

But sometimes GEDmatch calcs can show SSA when it isn't there based on some misinterpretation so not all GEDmatch calcs are good, but most/many are.

[BadSeedXii]

23andMe tells you that you're a mix of every single genetic populace that lived in your homeland. Wow, very accurate and informative.

If you don't get any SSA in most GEDmatch calcs, then it's most likely just noise. Since SSA is typical for some groups, it doesn't show up on 23andMe since SSA is treated as if it's native to where they are from.
Well, geez, with the 25 different calculators that's really helpful. That's like asking me to pick a coin out of a jellybean jar to find "the right one".

I don't score SSA on most of the calculators. Some tiny 0.x results that are on some and totally absent on others. NONE of them get a constant 1% result though minus this K3 garbage.

[jingorex]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 95.76
2 E_Eurasian 4.24


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

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

Least-squares method.

Using 1 population approximation:
1 Ukrainian @ 0.000000
2 Lithuanian @ 0.776364
3 Hungarian @ 0.906156
4 Belarusian @ 0.974432
5 Georgian @ 1.387959
6 Bulgarian @ 1.560130
7 Estonian @ 1.638122
8 Norwegian @ 1.837502
9 Czech @ 2.187812
10 Abkhasian @ 2.230317
11 Croatian @ 2.271604
12 Armenian @ 2.623279
13 Loschbour @ 2.658057
14 Albanian @ 3.005868
15 French @ 3.091764
16 Georgian_Jew @ 3.249079
17 Greek @ 3.260402
18 English @ 3.604673
19 Assyrian @ 3.721206
20 Iranian_Jew @ 3.848926

Using 2 populations approximation:
1 50% Belarusian +50% Hungarian @ 0.000000
2 50% Belarusian +50% Lithuanian @ 0.000000
3 50% Croatian +50% Estonian @ 0.000000
4 50% Croatian +50% Loschbour @ 0.000000
5 50% Czech +50% Estonian @ 0.000000
6 50% Czech +50% Loschbour @ 0.000000
7 50% Estonian +50% Norwegian @ 0.000000
8 50% French +50% Loschbour @ 0.000000
9 50% Ukrainian +50% Ukrainian @ 0.000000
10 50% Chechen +50% Stuttgart @ 0.252967
11 50% Lithuanian +50% Ukrainian @ 0.268667
12 50% Estonian +50% Hungarian @ 0.279472
13 50% Abkhasian +50% Norwegian @ 0.292300
14 50% Abkhasian +50% Czech @ 0.299350
15 50% Abkhasian +50% Croatian @ 0.327550
16 50% Loschbour +50% Norwegian @ 0.410380
17 50% Hungarian +50% Ukrainian @ 0.428904
18 50% Estonian +50% Lithuanian @ 0.430883
19 50% Belarusian +50% Norwegian @ 0.431576
20 50% Albanian +50% Loschbour @ 0.435043


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

Done.

Elapsed time 0.0148 seconds.

[Mingle]

Well, geez, with the 25 different calculators that's really helpful.

On most calcs, do you get SSA or not? I've gotten SSA on like 2-3 calcs, but I don't on the vast majority of them. So it's easy to tell if it's just something wrong with the calc or legit.

[BadSeedXii]

On most calcs, do you get SSA or not? I've gotten SSA on like 2-3 calcs, but I don't on the vast majority of them. So it's easy to tell if it's just something wrong with the calc or legit.

I just told you, no I don't. On the very few I do they are just 0.x %'s. But on most of them, especially Dodecad and Eurogenes, I get none.

[Mingle]

I just told you, no I don't.

Okay, then you don't have SSA. Simple as that.

[BadSeedXii]

Okay, then you don't have SSA. Simple as that.

I revised my post.

I DO get MENA on the calculators though but everybody gets that.

[Mingle]

I revised my post.

I DO get MENA on the calculators though but everybody gets that.

All Europeans have some MENA but it doesn't show up on 23andMe, so that is one reason why GEDmatch is better. But if you don't care about your ancient ancestry, then 23andMe is probably better for your.

[BadSeedXii]

All Europeans have some MENA but it doesn't show up on 23andMe, so that is one reason why GEDmatch is better. But if you don't care about your ancient ancestry, then 23andMe is probably better for your.

Well, you mention ANCIENT ancestry. We ALL have SSA then do we not? We all came from Africa so we all have Basal SSA. If we measure ancient ancestry we might as well go back to the very beginning. These calculators don't make any sense.

[Kouros]

1 W_Eurasian 95.09
2 E_Eurasian 4.91

[MercifulServant]

1 W_Eurasian 95.09
2 E_Eurasian 4.91

Damn son

[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

[GreentheViper]

W_Eurasian 69.36
E_Eurasian 29.86
SSA 0.78

[Isleño]

This calculator is garbage. It gives crazy oracles. I doubt it’s even the right percentages, especially the SSA lol

[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

[oszkar07]

# 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

[FilhoV]

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

[Lemgrant]

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

[TheMaestro]

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

[Peterski]

My results:

Population
E_Eurasian 2.83
SSA -
W_Eurasian 97.17

Those were with Family Tree DNA raw data on Classic GEDmatch.

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

[Marsh]

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

[dududud]

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

[Coastal Elite]

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

[Kyp]

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

[Kyp]

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

[Pedro Ruben]

# 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

[Peterski]

So my two closest populations are Bulgarian and Norwegian. Doesn't make sense.

(...)

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

(...)

^^^
You should rather pay attention to Mixed Mode (Albanian + Hungarian in your case).

[Coastal Elite]

^^^
You should rather pay attention to Mixed Mode (Albanian + Hungarian in your case).

7 50% Bulgarian +50% Norwegian @ 0.000000
I actually think this combo makes more sense but neither is a good 1 population approximation (midpoint)


what is with the 0.000000 fit?

[Petalpusher]

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.

[Mehmet Udegey]

# 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

[ksha]

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

[SUPREEEEEME]

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

[Snkves]

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

[RenaRyuguu]

E_Eurasian 1.70 Pct
SSA 0.85 Pct
W_Eurasian 97.45 Pct

[Daos777]

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.

[Abdelnour]

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.

[altaic]

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

[tipirneni]

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

[axel.aleman]

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

[Helen]

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

[Chris596]

# Population Percent
1 W_Eurasian 94.64
2 E_Eurasian 5.06

I think it over exaggerates my East-Eurasian part for sure.

[Helena99]

E_Eurasian 6.69 Pct
SSA 1.61 Pct
W_Eurasian 91.70 Pct

[Unknown European]

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.

[Kerem_turc]

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

[Pater Patota]

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.

[gixajo]

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

[Dr_Maul]

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

[Zoro]

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.

As long as you disregard oracles on this it’s pretty useful because other ones don’t give your E Eurasian W Eurasian ratio

[Mingle]

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.

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.

[Zoro]

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.

I agree it would have been better if it had S. Eurasian also.

[Schwop]

https://zizihub.com/78aa.jpg

[Rædwald]

Population

E_Eurasian 5.99 Pct
SSA -
W_Eurasian 94.01 Pct


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

[Impaler]

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

[tipirneni]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 91.48
2 E_Eurasian 7.13
3 SSA 1.39

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


Using 2 populations approximation:
1 50% Bengali +50% Meghawal @ 0.000000
2 50% GujaratiD +50% UP_Caste @ 0.000000
3 50% Iranian_Jew +50% Yukagir @ 0.000000
4 50% Iranian_Jew +50% Yukagir @ 0.000000

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 55.33
2 E_Eurasian 42.97
3 SSA 1.70


Even though population proportions are totally different we both match similar populations like Iran_Jew

[Blemoir]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 89.56
2 SSA 7.10
3 E_Eurasian 3.34


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

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

Least-squares method.

Using 1 population approximation:
1 Lebanese @ 1.230837
2 Syrian @ 3.096299
3 Saudi @ 3.598720
4 Yemenite_Jew @ 4.274224
5 Palestinian @ 4.609650
6 Jordanian @ 4.696506
7 Iraqi_Jew @ 5.526947
8 Iranian_Jew @ 5.757530
9 Kurd_C @ 6.074036
10 Ashkenazi_Jew @ 6.150039
11 Georgian_Jew @ 6.255593
12 Assyrian @ 6.354209
13 Kurd_N @ 6.468493
14 Armenian @ 7.311979
15 Sicilian @ 7.468379
16 Cypriot @ 7.568051
17 Iranian @ 8.054332
18 Abkhasian @ 8.162707
19 Georgian @ 8.379189
20 Chechen @ 8.527190

Using 2 populations approximation:
1 50% Iranian_Jew +50% Jordanian @ 0.656254
2 50% BedouinA +50% Estonian @ 0.666811
3 50% BedouinA +50% Belarusian @ 0.689588
4 50% Georgian_Jew +50% Jordanian @ 0.763133
5 50% BedouinA +50% Loschbour @ 0.918831
6 50% Kurd_N +50% Palestinian @ 0.933833
7 50% BedouinA +50% Ukrainian @ 0.946591
8 50% Kurd_C +50% Yemenite_Jew @ 0.975000
9 50% Abkhasian +50% BedouinA @ 1.079106
10 50% Assyrian +50% Jordanian @ 1.125063
11 50% Ashkenazi_Jew +50% Jordanian @ 1.215911
12 50% Lebanese +50% Lebanese @ 1.230837
13 50% Kurd_C +50% Saudi @ 1.253208
14 50% Iraqi_Jew +50% Jordanian @ 1.260287
15 50% BedouinA +50% Lithuanian @ 1.265039
16 50% Georgian_Jew +50% Palestinian @ 1.290956
17 50% Iranian_Jew +50% Syrian @ 1.331214
18 50% BedouinA +50% Hungarian @ 1.344796
19 50% Iraqi_Jew +50% Syrian @ 1.394935
20 50% Kurd_N +50% Yemenite_Jew @ 1.421929


Using 3 populations approximation:
1 50% Assyrian +25% Georgian_Jew +25% Yemen @ 0.000000

Done.

[Scandal]

E_Eurasian 4.66 Pct
SSA -
W_Eurasian 95.34 Pct

[Figaro]

My mother:

Admix Results (sorted):

# Population Percent
1 W_Eurasian 95.36
2 E_Eurasian 4.25


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

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

Least-squares method.

Using 1 population approximation:
1 Ukrainian @ 0.476457
2 Belarusian @ 0.838263
3 Georgian @ 1.056362
4 Lithuanian @ 1.160944
5 Hungarian @ 1.246515
6 Estonian @ 1.435482
7 Bulgarian @ 1.631913
8 Abkhasian @ 1.841585
9 Norwegian @ 2.167992
10 Armenian @ 2.210608
11 Loschbour @ 2.421695
12 Czech @ 2.508599
13 Croatian @ 2.579761
14 Georgian_Jew @ 2.695603
15 Albanian @ 3.186262
16 Assyrian @ 3.277107
17 Iranian_Jew @ 3.333129
18 French @ 3.347450
19 Greek @ 3.364701
20 Ashkenazi_Jew @ 3.751508

Using 2 populations approximation:
1 50% Abkhasian +50% Bulgarian @ 0.000000
2 50% Abkhasian +50% Norwegian @ 0.000000
3 50% Belarusian +50% Georgian @ 0.000000
4 50% Bergamo +50% Chechen @ 0.000000
5 50% Bulgarian +50% Estonian @ 0.000000
6 50% Chechen +50% French_South @ 0.000000
7 50% Abkhasian +50% Hungarian @ 0.263016
8 50% Abkhasian +50% Czech @ 0.268456
9 50% Abkhasian +50% Croatian @ 0.283707
10 50% Abkhasian +50% Lithuanian @ 0.327866
11 50% Croatian +50% Loschbour @ 0.342228
12 50% Estonian +50% Hungarian @ 0.348128
13 50% Adygei +50% Stuttgart @ 0.352416
14 50% Estonian +50% Georgian @ 0.352737
15 50% Czech +50% Loschbour @ 0.370428
16 50% Georgian +50% Ukrainian @ 0.384936
17 50% Greek +50% Loschbour @ 0.391934
18 50% Albanian +50% Loschbour @ 0.394720
19 50% Bulgarian +50% Loschbour @ 0.395011
20 50% Chechen +50% LBK_EN @ 0.416149


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




My Father:
# Population Percent
1 W_Eurasian 96.39
2 E_Eurasian 3.61


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 @ 0.942568
4 Ukrainian @ 0.946984
5 Bulgarian @ 0.947824
6 Czech @ 1.292919
7 Croatian @ 1.377209
8 Georgian @ 1.469427
9 Belarusian @ 1.869421
10 Albanian @ 2.163851
11 French @ 2.208062
12 Greek @ 2.475403
13 Estonian @ 2.533111
14 Armenian @ 2.669465
15 English @ 2.710137
16 Abkhasian @ 3.093743
17 Spanish @ 3.333555
18 French_South @ 3.499534
19 Loschbour @ 3.553046
20 Bergamo @ 3.774060

Using 2 populations approximation:
1 50% Belarusian +50% Croatian @ 0.000000
2 50% Belarusian +50% Czech @ 0.000000
3 50% Belarusian +50% French @ 0.000000
4 50% Croatian +50% Ukrainian @ 0.000000
5 50% Czech +50% Ukrainian @ 0.000000
6 50% English +50% Estonian @ 0.000000
7 50% Estonian +50% French @ 0.000000
8 50% Hungarian +50% Hungarian @ 0.000000
9 50% Hungarian +50% Lithuanian @ 0.000000
10 50% Lithuanian +50% Lithuanian @ 0.000000
11 50% Norwegian +50% Ukrainian @ 0.000000
12 50% French_South +50% Loschbour @ 0.299300
13 50% Bergamo +50% Loschbour @ 0.300550
14 50% Albanian +50% Belarusian @ 0.352750
15 50% Lithuanian +50% Norwegian @ 0.411986
16 50% Belarusian +50% English @ 0.422418
17 50% English +50% Loschbour @ 0.425315
18 50% Bulgarian +50% Lithuanian @ 0.447268
19 50% Abkhasian +50% English @ 0.452969
20 50% Belarusian +50% Norwegian @ 0.463543


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

[Rafael Passoni]

My mom

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 98.05
2 E_Eurasian 1.65


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

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

Least-squares method.

Using 1 population approximation:
1 English @ 0.000000
2 French @ 0.397573
3 Albanian @ 0.735389
4 French_South @ 0.931184
5 Greek @ 1.110390
6 Bergamo @ 1.194411
7 Croatian @ 1.199015
8 Czech @ 1.313549
9 Norwegian @ 1.658681
10 LBK_EN @ 2.017223
11 Sardinian @ 2.028025
12 Spanish @ 2.154934
13 Bulgarian @ 2.212522
14 Hungarian @ 2.560945
15 Stuttgart @ 2.565962
16 Lithuanian @ 2.709013
17 Georgian @ 3.304517
18 Ukrainian @ 3.525427
19 Sicilian @ 3.846229
20 Armenian @ 3.864007

Using 2 populations approximation:
1 50% Albanian +50% English @ 0.000000
2 50% Bergamo +50% Croatian @ 0.000000
3 50% Bergamo +50% Czech @ 0.000000
4 50% Bergamo +50% Norwegian @ 0.000000
5 50% Bulgarian +50% Stuttgart @ 0.000000
6 50% Croatian +50% French_South @ 0.000000
7 50% Czech +50% French_South @ 0.000000
8 50% English +50% English @ 0.000000
9 50% English +50% French @ 0.000000
10 50% French +50% French_South @ 0.000000
11 50% Hungarian +50% Stuttgart @ 0.259092
12 50% LBK_EN +50% Norwegian @ 0.284708
13 50% Lithuanian +50% Stuttgart @ 0.298242
14 50% Bergamo +50% French @ 0.346259
15 50% Norwegian +50% Sardinian @ 0.347308
16 50% French_South +50% Norwegian @ 0.383415
17 50% French +50% French @ 0.397573
18 50% Czech +50% LBK_EN @ 0.423675
19 50% Georgian +50% Stuttgart @ 0.427486
20 50% English +50% Greek @ 0.435829


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

[Rafael Passoni]

Me:
Admix Results (sorted):

# Population Percent
1 W_Eurasian 97.68
2 SSA 2.10


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

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

Least-squares method.

Using 1 population approximation:
1 Spanish @ 1.097726
2 Sardinian @ 1.337812
3 LBK_EN @ 1.513825
4 Greek @ 1.737708
5 French_South @ 1.847052
6 Bergamo @ 1.881779
7 Albanian @ 2.152841
8 French @ 2.443663
9 Cypriot @ 2.462794
10 English @ 2.477735
11 Sicilian @ 2.577544
12 Stuttgart @ 3.130852
13 Croatian @ 3.132721
14 Czech @ 3.238396
15 Bulgarian @ 3.372397
16 Norwegian @ 3.480073
17 Armenian @ 3.894382
18 Georgian @ 4.085333
19 Ashkenazi_Jew @ 4.105851
20 Hungarian @ 4.127763

Using 2 populations approximation:
1 50% Cypriot +50% LBK_EN @ 0.402740
2 50% Cypriot +50% Stuttgart @ 0.402996
3 50% Cypriot +50% Sardinian @ 0.465340
4 50% Sardinian +50% Spanish @ 0.537627
5 50% LBK_EN +50% Spanish @ 0.590927
6 50% LBK_EN +50% Sicilian @ 0.606671
7 50% Sicilian +50% Stuttgart @ 0.632661
8 50% Sardinian +50% Sicilian @ 0.655860
9 50% Bergamo +50% Cypriot @ 0.749383
10 50% Cypriot +50% French_South @ 0.888725
11 50% Bergamo +50% Sicilian @ 0.911799
12 50% Iraqi_Jew +50% Stuttgart @ 1.002834
13 50% Bergamo +50% Spanish @ 1.014354
14 50% French_South +50% Sicilian @ 1.050300
15 50% French_South +50% Spanish @ 1.080988
16 50% Spanish +50% Spanish @ 1.097726
17 50% Ashkenazi_Jew +50% Stuttgart @ 1.112102
18 50% Greek +50% Sardinian @ 1.129390
19 50% Greek +50% LBK_EN @ 1.199654
20 50% Cypriot +50% English @ 1.307864


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

I have got more SSA than my dad. Makes no sense.

[Rafael Passoni]

My bro:
Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 95.92
2 E_Eurasian 2.25
3 SSA 1.83


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

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

Least-squares method.

Using 1 population approximation:
1 Armenian @ 1.264981
2 Bulgarian @ 1.403275
3 Georgian @ 1.507044
4 Spanish @ 1.591883
5 Greek @ 1.688895
6 Sicilian @ 1.755381
7 Albanian @ 1.935291
8 Assyrian @ 1.972258
9 Cypriot @ 2.067405
10 Ashkenazi_Jew @ 2.213244
11 Hungarian @ 2.233799
12 Norwegian @ 2.240410
13 Croatian @ 2.259157
14 Czech @ 2.299103
15 Lithuanian @ 2.363388
16 French @ 2.392264
17 Ukrainian @ 2.683478
18 Iranian_Jew @ 2.732598
19 English @ 2.935557
20 Iraqi_Jew @ 3.009282

Using 2 populations approximation:
1 50% Albanian +50% Ashkenazi_Jew @ 0.000000
2 50% Albanian +50% Assyrian @ 0.000000
3 50% Armenian +50% Greek @ 0.000000
4 50% Ashkenazi_Jew +50% Croatian @ 0.000000
5 50% Ashkenazi_Jew +50% Czech @ 0.000000
6 50% Ashkenazi_Jew +50% French @ 0.000000
7 50% Assyrian +50% French @ 0.000000
8 50% Assyrian +50% Greek @ 0.000000
9 50% Bulgarian +50% Sicilian @ 0.000000
10 50% Cypriot +50% Hungarian @ 0.000000
11 50% Cypriot +50% Lithuanian @ 0.000000
12 50% English +50% Iranian_Jew @ 0.000000
13 50% French_South +50% Iranian_Jew @ 0.000000
14 50% Georgian_Jew +50% LBK_EN @ 0.000000
15 50% Georgian_Jew +50% Sardinian @ 0.000000
16 50% Hungarian +50% Sicilian @ 0.000000
17 50% Lithuanian +50% Sicilian @ 0.000000
18 50% Armenian +50% Spanish @ 0.256479
19 50% Czech +50% Iraqi_Jew @ 0.281311
20 50% Bulgarian +50% Cypriot @ 0.313580


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

[Rafael Passoni]

My father:
Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.85
2 SSA 1.97
3 E_Eurasian 1.17


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

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

Least-squares method.

Using 1 population approximation:
1 Spanish @ 0.000000
2 Greek @ 1.058019
3 Albanian @ 1.557253
4 Sicilian @ 1.777651
5 Cypriot @ 1.853687
6 French @ 2.008288
7 French_South @ 2.171354
8 Bulgarian @ 2.268651
9 Sardinian @ 2.317295
10 English @ 2.339611
11 Bergamo @ 2.355329
12 Croatian @ 2.404747
13 LBK_EN @ 2.458850
14 Czech @ 2.495174
15 Norwegian @ 2.632158
16 Armenian @ 2.640835
17 Georgian @ 2.849095
18 Assyrian @ 3.030696
19 Ashkenazi_Jew @ 3.073392
20 Hungarian @ 3.093785

Using 2 populations approximation:
1 50% Assyrian +50% LBK_EN @ 0.000000
2 50% Cypriot +50% English @ 0.000000
3 50% Cypriot +50% French @ 0.000000
4 50% French_South +50% Sicilian @ 0.000000
5 50% Iraqi_Jew +50% Stuttgart @ 0.000000
6 50% Spanish +50% Spanish @ 0.000000
7 50% Cypriot +50% French_South @ 0.273451
8 50% Albanian +50% Cypriot @ 0.285149
9 50% Bergamo +50% Sicilian @ 0.286102
10 50% Assyrian +50% Sardinian @ 0.296844
11 50% Ashkenazi_Jew +50% LBK_EN @ 0.389901
12 50% English +50% Sicilian @ 0.391024
13 50% French +50% Sicilian @ 0.391899
14 50% Armenian +50% Sardinian @ 0.414167
15 50% Greek +50% Sicilian @ 0.419250
16 50% Ashkenazi_Jew +50% Stuttgart @ 0.423245
17 50% Ashkenazi_Jew +50% Bergamo @ 0.442588
18 50% Cypriot +50% Greek @ 0.453981
19 50% Armenian +50% LBK_EN @ 0.458137
20 50% Ashkenazi_Jew +50% Sardinian @ 0.478186


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

[Eleonor]

:whoo:


Population
E_Eurasian 2.08 Pct
SSA -
W_Eurasian 97.92 Pct


Distance to: Eleonor
0.41641326 French
0.56409219 English
0.79259069 Croatian
0.87051709 Czech
0.87681241 Albanian
1.22364210 Norwegian
1.36257110 Greek
1.45746355 French_South
1.70768850 Bergamo
1.95197336 Bulgarian
2.15872648 Hungarian
2.29102597 Lithuanian
2.49489479 Spanish
2.55221472 LBK_EN
2.56815109 Sardinian
3.06825683 Georgian
3.11180012 Ukrainian
3.79096294 Armenian
4.03050865 Belarusian
4.07015970 Sicilian
4.22856950 Cypriot
4.67886738 Assyrian
4.69518903 Estonian
4.93293016 Ashkenazi_Jew
5.22881440 Abkhasian


Target: Eleonor
Distance: 0.1195% / 0.11946640
61.0 English
39.0 Czech

Distance to: Eleonor
0.11946640 39.00% Czech + 61.00% English
0.12745647 68.80% English + 31.20% Norwegian
0.13865858 80.80% English + 19.20% Lithuanian
0.14642075 41.20% Croatian + 58.80% English
0.15124009 11.80% Belarusian + 88.20% English
0.15378189 89.60% English + 10.40% Estonian
0.15457074 85.20% English + 14.80% Ukrainian
0.15594851 79.80% English + 20.20% Hungarian
0.15671845 91.40% English + 8.60% Loschbour
0.16426612 95.80% English + 4.20% Mordovian
0.16451195 95.80% English + 4.20% Finnish
0.16560097 96.00% English + 4.00% Russian
0.17079575 99.60% English + 0.40% Nganasan
0.17090228 99.60% English + 0.40% Mongola
0.17129067 99.60% English + 0.40% Subba
0.17133982 98.20% English + 1.80% Kalash
0.17151758 99.60% English + 0.40% Tibet-refugees
0.17170553 99.60% English + 0.40% Ulchi
0.17177731 99.60% English + 0.40% Han
0.17179566 0.40% Ami + 99.60% English
0.17179566 0.40% Dai + 99.60% English
0.17179566 99.60% English + 0.40% Nivkh

[axel.aleman]

Population
E_Eurasian 28.31 Pct
SSA 25.52 Pct
W_Eurasian 46.17 Pct

[Sterling Archer]

# Population Percent
1 W_Eurasian 89.83
2 E_Eurasian 8.62
3 SSA 1.56

Distance to: Sterling
1.45746355 Adygei
1.66237782 Kurd_C
2.38665037 Chechen
2.68315113 Mordovian
2.85742891 Finnish
3.12176232 Kurd_N
3.21715713 Russian
3.60833757 Iranian
3.97368846 Turkish
4.76411587 Balkar
5.00860260 Loschbour
5.30331972 Abkhasian
5.69087867 Georgian_Jew
5.96279297 Estonian
6.59600637 Belarusian
6.80955211 Iranian_Jew
7.46636458 Ukrainian
7.61400683 Georgian
7.62672276 Armenian
7.70948118 Assyrian
8.02451868 Ashkenazi_Jew
8.27652705 Lithuanian
8.30460716 Iraqi_Jew
8.38652491 Hungarian
8.65517764 Bulgarian

Distance to: Sterling
0.00936314 69.80% French_South + 30.20% Kurd_SE
0.00968591 82.60% Kurd_N + 17.40% Tajik_Pomiri
0.01256662 36.00% Balochi + 64.00% Bulgarian
0.01555892 72.00% Armenian + 28.00% Kalash
0.01634371 81.60% Sardinian + 18.40% Tharu
0.01835075 15.00% Kattunayakkan + 85.00% LBK_EN
0.02062620 28.00% Greek + 72.00% Turkish
0.02500483 69.60% Spanish + 30.40% Tajik
0.02802445 72.60% Albanian + 27.40% Kurd_SE
0.03640886 34.20% Georgian + 65.80% Turkish
0.04125236 12.40% Birhor + 87.60% Sardinian
0.04421266 69.40% Bergamo + 30.60% Kurd_SE
0.04458094 41.00% Brahui + 59.00% French
0.04737331 13.60% Gond + 86.40% Sardinian
0.04775663 13.80% Kalash + 86.20% Kurd_N
0.05119504 19.40% Kurumba + 80.60% Sardinian
0.05707915 24.20% LBK_EN + 75.80% Turkish
0.05725189 79.40% LBK_EN + 20.60% Malli
0.05728944 92.80% Georgian + 7.20% Onge
0.05772924 15.80% Irula + 84.20% LBK_EN
0.05972660 85.40% LBK_EN + 14.60% Nihali
0.06097834 88.40% Greek + 11.60% Paniyas
0.06219973 18.40% Piramalai + 81.60% Sardinian
0.06365361 73.60% Loschbour + 26.40% Makrani
0.06482500 66.00% Armenian + 34.00% Tajik_Pomiri

[mrt19]

(Turkish)
1 W_Eurasian 85.11
2 E_Eurasian 12.62
3 SSA 2.27

[Dunai]

That's more East Eurasian than I expected and much-much more what 23andMe gives me:

West Eurasian 93.83%
East Eurasian 6.17%

[Sterling Archer]

That's more East Eurasian than I expected and much-much more what 23andMe gives me:

West Eurasian 93.83%
East Eurasian 6.17%
The same with me. In my case it also inexplicably added SSA which I don't get in FTDNA, MyHeritage, Dodekad or Eurogenes.

[Petalpusher]

The same with me. In my case it also inexplicably added SSA which I don't get in FTDNA, MyHeritage, Dodekad or Eurogenes.

It's probably because "West Eurasian" here is based on LBK/Stuttgart and most of the other components in general you would score in other calculators except the up Paleo and mesolithic are a bit closer to African than LBK. Like CHG, Iran_N,.. so the K3 reflects that but even Europeans can score low amount of SSA here, and all score East Eurasians, as even the mesolithic is still a bit more oriented towards Eastern Eurasia than LBK. North Italians from Bergamo are the closest to 100% West Eurasians, followed by some Basques i think in this test.

Those values are always defined by what you compare yourself to. LBK is just extremely non African/Non East Asian (and non Oceanian too).

I also score 1.75% East Eurasian or something like that, and i usually score none or very low East Eurasian (less than 1% Siberian on K13 for example).

[Sterling Archer]

It's probably because "West Eurasian" here is based on LBK/Stuttgart and most of the other components in general you would score in other calculators except the up Paleo and mesolithic are a bit closer to African than LBK. Like CHG, Iran_N,.. so the K3 reflects that but even Europeans can score low amount of SSA here, and all score East Eurasians, as even the mesolithic is still a bit more oriented towards Eastern Eurasia than LBK. North Italians from Bergamo are the closest to 100% West Eurasians, followed by some Basques i think in this test.

Those values are always defined by what you compare yourself to. LBK is just extremely non African/Non East Asian (and non Oceanian too).

I also score 1.75% East Eurasian or something like that, and i usually score none or very low East Eurasian (less than 1% Siberian on K13 for example).

Yeah, I just scrolled back and saw that many score some SSA and hefty amount of East Eurasia. This calculator seems to be more for fun than anything else.

[Petalpusher]

Yeah, I just scrolled back and saw that many score some SSA and hefty amount of East Eurasia. This calculator seems to be more for fun than anything else.

Yeah don't take it too much at face value if you score 1.5%. You have a Portuguese here scoring 7% SSA, while this level is clearly real, he doesn't get half of that in more regular calculators. The test is just very prone to give SSA and East Eurasian.

[Andullero]

# Population Percent
1 W_Eurasian 63.08
2 SSA 28.75
3 E_Eurasian 8.18


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

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

Least-squares method.

Using 1 population approximation:
1 Yemen @ 16.225519
2 BedouinA @ 25.730299
3 Ethiopian_Jew @ 26.021273
4 Makrani @ 28.733084
5 Jordanian @ 30.123253
6 Palestinian @ 31.264370
7 Brahui @ 31.482500
8 Syrian @ 31.505838
9 Balochi @ 31.594902
10 Kurd_SE @ 31.658857
11 Yemenite_Jew @ 32.870586
12 Saudi @ 33.181957
13 Lebanese @ 33.801582
14 Sindhi @ 34.030949
15 Pashtun_Afghan @ 34.360817
16 Pathan @ 34.414604
17 Iranian @ 34.946983
18 Tajik @ 35.035660
19 Kshatriya @ 35.054653
20 Tajik_Pomiri @ 35.055775

Using 2 populations approximation:
1 50% Ethiopian_Jew +50% Makrani @ 1.518234
2 50% Brahui +50% Ethiopian_Jew @ 2.756066
3 50% Balochi +50% Ethiopian_Jew @ 2.843013
4 50% Balkar +50% Somali @ 2.873680
5 50% Russian +50% Somali @ 3.156362
6 50% Finnish +50% Somali @ 3.297506
7 50% Mordovian +50% Somali @ 3.379199
8 50% Somali +50% Turkish @ 3.759086
9 50% Adygei +50% Somali @ 4.225792
10 50% Ethiopian_Jew +50% Tajik_Pomiri @ 4.547545
11 50% Iranian +50% Somali @ 4.784093
12 50% Somali +50% Tajik_Pomiri @ 4.918125
13 50% Chechen +50% Somali @ 4.919600
14 50% Ethiopian_Jew +50% Kalash @ 5.205587
15 50% Ethiopian_Jew +50% Pashtun_Afghan @ 5.257970
16 50% Kurd_C +50% Somali @ 5.440540
17 50% Ethiopian_Jew +50% Pathan @ 5.651394
18 50% Kurd_N +50% Somali @ 5.995536
19 50% Loschbour +50% Somali @ 6.086869
20 50% Brahui +50% Somali @ 6.115414


Using 3 populations approximation:
1 50% Lebanese +25% Luhya +25% Sindhi @ 0.000000

[Zoro]

Yeah, I just scrolled back and saw that many score some SSA and hefty amount of East Eurasia. This calculator seems to be more for fun than anything else.

Wrong. Apparently you have no idea how all K3 calculators work. While 23andme measures ancestry in the last 200 years, all K3 calculators measure ancestry in the last 10,000 years (E Eurasian, SSA, W Eurasian).

Also, if you read qpAdm results published in papers such as Harvard you’ll notice a statement such as “Mbuti or SSA includes Basal Eurasian “. Same applies here. SSA measures African+Extra Basal Eurasian not captured by W Eurasian component.

Even though the calculator can be improved, it’s still the best calculator at Gedmatch for measuring TOTAL admixture over last 10,000 years. I believe there are better ones but they are not free at GenePlaza.com

Read this from the Paleolithic Caucasus paper page 52 explaining what Mbuti is in the qpAdm results

https://i.imgur.com/xUsEQoI.jpg

[Dunai]

Wrong. Apparently you have no idea how all K3 calculators work. While 23andme measures ancestry in the last 200 years, all K3 calculators measure ancestry in the last 10,000 years (E Eurasian, SSA, W Eurasian).

Also, if you read qpAdm results published in papers such as Harvard you’ll notice a statement such as “Mbuti or SSA includes Basal Eurasian “. Same applies here. SSA measures African+Extra Basal Eurasian not captured by W Eurasian component.

Even though the calculator can be improved, it’s still the best calculator at Gedmatch for measuring TOTAL admixture over last 10,000 years. I believe there are better ones but they are not free at GenePlaza.com

Read this from the Paleolithic Caucasus paper page 52 explaining what Mbuti is in the qpAdm results



I kinda agree with your conclusion, since this calculator takes into account the most archaic admixture in your DNA, and based on thousands of years back there was quite a lot of movement all across the globe between isolated people at some point. Since it strictly focuses on 3 major components I don't think it's really that unreasonable what archaic percentages it offers. As a Hungarian I could well see why I do have 6% ancient East Eurasian admixture, since based on the history of the region where I'm from this very well correlates. There were also plenty of African slaves in Europe since ancient times, so not surprising at all when so many people score little bit of SSA.

[Luke35]

Me:

Population
E_Eurasian 4.39 Pct
SSA -
W_Eurasian 95.61 Pct

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

My Mother:

Population
E_Eurasian 2.86 Pct
SSA -
W_Eurasian 97.14 Pct

[InfamousAngel99]

E_Eurasian: 3.69
SSA: 0
W_Eurasian: 96.31

1 Hungarian @ 0.000000
2 Lithuanian @ 0.000000
3 Ukrainian @ 0.834072
4 Bulgarian @ 1.003412
5 Norwegian @ 1.055552
6 Czech @ 1.405895
7 Georgian @ 1.418044
8 Croatian @ 1.490090
9 Belarusian @ 1.756425
10 Albanian @ 2.267921
11 French @ 2.319155
12 Estonian @ 2.420115
13 Greek @ 2.570549
14 Armenian @ 2.647038
15 English @ 2.823060
16 Abkhasian @ 2.983706
17 Spanish @ 3.409634
18 Loschbour @ 3.440050
19 French_South @ 3.610107
20 Georgian_Jew @ 3.711489

Using 2 populations approximation:
1 50% Belarusian +50% Croatian @ 0.000000
2 50% Belarusian +50% Czech @ 0.000000
3 50% Czech +50% Ukrainian @ 0.000000
4 50% English +50% Estonian @ 0.000000
5 50% Estonian +50% French @ 0.000000
6 50% Hungarian +50% Hungarian @ 0.000000
7 50% Hungarian +50% Lithuanian @ 0.000000
8 50% Lithuanian +50% Lithuanian @ 0.000000
9 50% Norwegian +50% Ukrainian @ 0.000000
10 50% Belarusian +50% Norwegian @ 0.253227
11 50% English +50% Loschbour @ 0.254128
12 50% Croatian +50% Ukrainian @ 0.266567
13 50% Belarusian +50% French @ 0.270468
14 50% Hungarian +50% Ukrainian @ 0.283279
15 50% French_South +50% Loschbour @ 0.299300
16 50% Abkhasian +50% English @ 0.352250
17 50% Bergamo +50% Loschbour @ 0.412659
18 50% Lithuanian +50% Ukrainian @ 0.419865
19 50% Albanian +50% Estonian @ 0.456955
20 50% Albanian +50% Belarusian @ 0.461078


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

[nee4speed111]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 85.06
2 SSA 14.94


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

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

Least-squares method.

Using 1 population approximation:
1 BedouinA @ 1.622310
2 Palestinian @ 5.091400
3 Jordanian @ 5.316196
4 Yemenite_Jew @ 6.231514
5 Saudi @ 6.761885
6 Syrian @ 6.947053
7 Lebanese @ 8.468409
8 Yemen @ 10.994279
9 Iraqi_Jew @ 14.156556
10 Kurd_C @ 14.947198
11 Ashkenazi_Jew @ 14.984680
12 Iranian_Jew @ 15.011826
13 Assyrian @ 15.339971
14 Iranian @ 15.431933
15 Cypriot @ 15.718573
16 Georgian_Jew @ 15.772721
17 Sicilian @ 15.797106
18 Kurd_N @ 16.062107
19 Armenian @ 16.428574
20 Turkish @ 17.488375

Using 2 populations approximation:
1 50% BedouinA +50% BedouinA @ 1.622310
2 50% BedouinA +50% Palestinian @ 2.297994
3 50% BedouinA +50% Yemenite_Jew @ 2.671343
4 50% BedouinA +50% Jordanian @ 2.697475
5 50% BedouinA +50% Saudi @ 2.978184
6 50% Yemen +50% Yemenite_Jew @ 3.065320
7 50% Saudi +50% Yemen @ 3.106143
8 50% BedouinA +50% Syrian @ 3.429714
9 50% Iraqi_Jew +50% Yemen @ 3.639964
10 50% Cypriot +50% Yemen @ 3.701603
11 50% Lebanese +50% Yemen @ 3.808120
12 50% Sicilian +50% Yemen @ 3.852143
13 50% Palestinian +50% Yemen @ 3.904310
14 50% BedouinA +50% Lebanese @ 3.988257
15 50% Ashkenazi_Jew +50% Yemen @ 4.019161
16 50% Assyrian +50% Yemen @ 4.264327
17 50% Spanish +50% Yemen @ 4.463726
18 50% Iranian_Jew +50% Yemen @ 4.472219
19 50% Syrian +50% Yemen @ 4.627409
20 50% Armenian +50% Yemen @ 4.755203


Using 3 populations approximation:
1 50% Cypriot +25% Ethiopian_Jew +25% Sardinian @ 0.710146

Done.

[Borealis]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 85.06
2 SSA 14.94


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

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

Least-squares method.

Using 1 population approximation:
1 BedouinA @ 1.622310
2 Palestinian @ 5.091400
3 Jordanian @ 5.316196
4 Yemenite_Jew @ 6.231514
5 Saudi @ 6.761885
6 Syrian @ 6.947053
7 Lebanese @ 8.468409
8 Yemen @ 10.994279
9 Iraqi_Jew @ 14.156556
10 Kurd_C @ 14.947198
11 Ashkenazi_Jew @ 14.984680
12 Iranian_Jew @ 15.011826
13 Assyrian @ 15.339971
14 Iranian @ 15.431933
15 Cypriot @ 15.718573
16 Georgian_Jew @ 15.772721
17 Sicilian @ 15.797106
18 Kurd_N @ 16.062107
19 Armenian @ 16.428574
20 Turkish @ 17.488375

Using 2 populations approximation:
1 50% BedouinA +50% BedouinA @ 1.622310
2 50% BedouinA +50% Palestinian @ 2.297994
3 50% BedouinA +50% Yemenite_Jew @ 2.671343
4 50% BedouinA +50% Jordanian @ 2.697475
5 50% BedouinA +50% Saudi @ 2.978184
6 50% Yemen +50% Yemenite_Jew @ 3.065320
7 50% Saudi +50% Yemen @ 3.106143
8 50% BedouinA +50% Syrian @ 3.429714
9 50% Iraqi_Jew +50% Yemen @ 3.639964
10 50% Cypriot +50% Yemen @ 3.701603
11 50% Lebanese +50% Yemen @ 3.808120
12 50% Sicilian +50% Yemen @ 3.852143
13 50% Palestinian +50% Yemen @ 3.904310
14 50% BedouinA +50% Lebanese @ 3.988257
15 50% Ashkenazi_Jew +50% Yemen @ 4.019161
16 50% Assyrian +50% Yemen @ 4.264327
17 50% Spanish +50% Yemen @ 4.463726
18 50% Iranian_Jew +50% Yemen @ 4.472219
19 50% Syrian +50% Yemen @ 4.627409
20 50% Armenian +50% Yemen @ 4.755203


Using 3 populations approximation:
1 50% Cypriot +25% Ethiopian_Jew +25% Sardinian @ 0.710146

Done.

Crazy.

[Borealis]

# Population Percent
1 W_Eurasian 56.92
2 E_Eurasian 41.79
3 SSA 1.29

[Grace O'Malley]

The Oracle is worthless of course.

Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.24
2 E_Eurasian 3.76


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 @ 0.740286
4 Bulgarian @ 1.051975
5 Norwegian @ 1.149418
6 Georgian @ 1.406215
7 Czech @ 1.499757
8 Croatian @ 1.583883
9 Belarusian @ 1.662550
10 Estonian @ 2.326240
11 Albanian @ 2.355007
12 French @ 2.411584
13 Armenian @ 2.631951
14 Greek @ 2.650661
15 Abkhasian @ 2.892462
16 English @ 2.916878
17 Loschbour @ 3.346175
18 Spanish @ 3.474367
19 Georgian_Jew @ 3.650252
20 French_South @ 3.702081

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% English +50% Estonian @ 0.000000
5 50% English +50% Loschbour @ 0.000000
6 50% Estonian +50% French @ 0.000000
7 50% Hungarian +50% Hungarian @ 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% Croatian +50% Estonian @ 0.285950
14 50% Czech +50% Ukrainian @ 0.289494
15 50% French_South +50% Loschbour @ 0.299300
16 50% Belarusian +50% French @ 0.336843
17 50% Abkhasian +50% English @ 0.352250
18 50% Albanian +50% Estonian @ 0.352750
19 50% Bulgarian +50% Ukrainian @ 0.374300
20 50% Chechen +50% Stuttgart @ 0.374344

[Leto]

# Population Percent
1 W_Eurasian 56.92
2 E_Eurasian 41.79
3 SSA 1.29
Is this calculator good enough for breaking down Indian ancestry into West and South Eurasian? I still wonder how much Caucasoid Dravidian India would be.

[Aila]

E_Eurasian 12.82 Pct
SSA -
W_Eurasian 87.18 Pct

1 Balkar @ 0.555758 (Mountain Tatar Pride2):)
2 Russian @ 2.242566
3 Turkish @ 2.298941
4 Finnish @ 2.717184
5 Mordovian @ 2.960285
6 Iranian @ 4.376290
7 Adygei @ 4.879373
8 Kurd_C @ 6.262031
9 Chechen @ 6.659334
10 Kurd_N @ 8.264535
11 Loschbour @ 9.476415
12 Tajik_Pomiri @ 9.939646
13 Abkhasian @ 10.037613
14 Estonian @ 10.496349
15 Makrani @ 10.781157
16 Brahui @ 10.799322
17 Georgian_Jew @ 10.833826
18 Balochi @ 11.116942
19 Belarusian @ 11.160039
20 Iranian_Jew @ 12.006027

[Petalpusher]

Is this calculator good enough for breaking down Indian ancestry into West and South Eurasian? I still wonder how much Caucasoid Dravidian India would be.

It lacks an Oceanian to split it more correctly. Eventually an Amerindian for others reasons and populations. If had time i would redo this test adding those two, make it a K5, which are really the 5 main ethnic groups on earth.

However this comes close and still the reference imo in this regard. Just that K5 with a SSA split.

http://1.bp.blogspot.com/-Oa3bBts6e3M/Ur6VH_81tpI/AAAAAAAAAUI/JGoPs1UmWyA/s1600/Lazaridis2014_EDF3_K6.png

[alexmegas777]

Admix Results (sorted):

# Population Percent
1 W_Eurasian 100.00

Using 1 population approximation:
1 Stuttgart @ 0.000000
2 Bergamo @ 1.586331
3 LBK_EN @ 1.623235
4 Sardinian @ 1.800293
5 French_South @ 1.837516
6 English @ 2.401341
7 French @ 2.967544
8 Albanian @ 3.240213
9 Greek @ 3.330246
10 Croatian @ 3.732455
11 Czech @ 3.814994
12 Spanish @ 3.819369
13 Norwegian @ 4.165171
14 Bulgarian @ 4.776895
15 Hungarian @ 5.098477
16 Lithuanian @ 5.226226
17 Cypriot @ 5.556456
18 Sicilian @ 5.600525
19 Georgian @ 5.854231
20 Ukrainian @ 6.054062

[Leto]

It lacks an Oceanian to split it more correctly. Eventually an Amerindian for others reasons and populations. If had time i would redo this test adding those two, make it a K5, which are really the 5 main ethnic groups on earth.

However this comes close and still the reference imo in this regard. Just that K5 with a SSA split.

I'd say the word is race, not ethnic group.
Do you think East Eurasian (aka Mongoloid) should be separate from Amerindian?

[tipirneni]

Is this calculator good enough for breaking down Indian ancestry into West and South Eurasian? I still wonder how much Caucasoid Dravidian India would be.

I have seen populations that show up in this calc actually show up in my one to many. This is LD kit that shows central asian and levant pops, I have others that show Italy populations. The mixed mode is usally better than 3 pop at the end

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
16 50% Irula +50% Kashmiri_Pandit @ 0.339233
17 50% Bengali +50% Meghawal @ 0.357315
18 50% Meghawal +50% UP_Chamar @ 0.361938
19 50% Bhil +50% GujaratiC @ 0.366936
20 50% UP_Kol +50% UP_Muslim @ 0.414421


Using 3 populations approximation:
1 50% Adygei +25% Paniyas +25% Thai @ 0.000000

[Rædwald]

Population

E_Eurasian 5.99 Pct
SSA -
W_Eurasian 94.01 Pct

[Petalpusher]

I'd say the word is race, not ethnic group.
Do you think East Eurasian (aka Mongoloid) should be separate from Amerindian?

6 months later since TA notification system works great: Yes cause Amerindians are part West Eurasian (ancient) through their huge chunk of ANE.

[PrimarisOrion]

This calculator is not so accurate.

[PrimarisOrion]

My Results.

Population
E_Eurasian 2.87 Pct
SSA 1.79 Pct
W_Eurasian 95.34 Pct

I suppose all Southern Europeans, most Northern Europeans and some Eastern Europeans get 93-99% West Eurasian on this calculator depending on the person.

I was looking through this and North Indians like Punjabi's/Punjabi Jatts were only getting 67-69% West Eurasian on here, it seems too low.

https://anthrogenica.com/showthread.php?5727-Eurasia-K3-Calculator/


This calculator is basically the same as any admixture analysis that divides you into the Sub Racial genetic clusters, Caucasoid, Mongoloid and Negroid. Meanwhile many South Asian groups get higher Caucasoid results on another calculator, same with Europeans.

https://imgur.com/48fJOgY


https://i.imgur.com/CD673ve.png This is with 291,184 SNP's being analyzed.

Does anyone know how many SNP's the Gerdosia K3 analyzes? I suspect it is less than 291,184 SNP's but I doubt anyone here knows.

[Malagueña]

Population
W Eurasian 96.18%
SSA 3.82%

Using 1 population approximation:
1 Cypriot @ 1.106599
2 Sicilian @ 1.491276
3 Spanish @ 2.198525
4 Iraqi_Jew @ 2.915181
5 Ashkenazi_Jew @ 2.928011
6 Assyrian @ 3.236656
7 Greek @ 3.339132
8 Sardinian @ 3.606878
9 Armenian @ 3.639563
10 LBK_EN @ 3.783936
11 Albanian @ 3.842894
12 French_South @ 4.079916
13 Iranian_Jew @ 4.137438
14 Bergamo @ 4.155624
15 French @ 4.275735
16 Bulgarian @ 4.311868
17 Georgian @ 4.476096
18 English @ 4.520924
19 Croatian @ 4.685407
20 Czech @ 4.771471

Using 2 populations approximation:
1 50% Cypriot +50% Cypriot @ 1.106599
2 50% Cypriot +50% Sicilian @ 1.298680
3 50% Cypriot +50% Spanish @ 1.468737
4 50% Iraqi_Jew +50% Sardinian @ 1.477481
5 50% Sicilian +50% Sicilian @ 1.491276
6 50% Iraqi_Jew +50% LBK_EN @ 1.525919
7 50% Sicilian +50% Spanish @ 1.644886
8 50% Iraqi_Jew +50% Spanish @ 1.794409
9 50% Cypriot +50% Sardinian @ 1.868282
10 50% Ashkenazi_Jew +50% Sardinian @ 1.901149
11 50% Saudi +50% Stuttgart @ 1.911874
12 50% Cypriot +50% Iraqi_Jew @ 1.935761
13 50% Cypriot +50% LBK_EN @ 1.953012
14 50% Sardinian +50% Sicilian @ 1.955816
15 50% Bergamo +50% Iraqi_Jew @ 1.958418
16 50% Ashkenazi_Jew +50% LBK_EN @ 1.963160
17 50% Ashkenazi_Jew +50% Cypriot @ 1.998073
18 50% French_South +50% Iraqi_Jew @ 2.026621
19 50% Cypriot +50% Greek @ 2.030132
20 50% LBK_EN +50% Sicilian @ 2.037925

Using 3 populations approximation:
1 50% Sardinian +25% Sardinian +25% Yemenite_Jew @ 0.296371

[Eurafricanid]

E_Eurasian 3.36 Pct
SSA 44.47 Pct
W_Eurasian 52.17 Pct


Using 1 population approximation:
1 Ethiopian_Jew @ 6.520695
2 Somali @ 22.301775
3 Yemen @ 33.875057
4 Siddi @ 42.865376
5 BedouinA @ 43.080776
6 Masai @ 43.941868
7 Jordanian @ 48.223541
8 Makrani @ 48.461151
9 Palestinian @ 49.015717
10 Syrian @ 49.768417
11 Kurd_SE @ 49.981316
12 Yemenite_Jew @ 50.455231
13 Saudi @ 50.889404
14 Brahui @ 51.150993
15 Balochi @ 51.246006
16 Lebanese @ 51.957054
17 Sindhi @ 52.394409
18 Kshatriya @ 52.902763
19 Pathan @ 53.466961
20 Pashtun_Afghan @ 53.564384

Using 2 populations approximation:
1 50% Jordanian +50% Masai @ 2.860088
2 50% BedouinA +50% Masai @ 3.009343
3 50% Masai +50% Syrian @ 3.326340
4 50% Masai +50% Palestinian @ 3.731934
5 50% Lebanese +50% Masai @ 4.482217
6 50% Masai +50% Yemenite_Jew @ 4.574439
7 50% Masai +50% Saudi @ 4.577906
8 50% BedouinA +50% Siddi @ 4.800348
9 50% Masai +50% Yemen @ 5.225688
10 50% Czech +50% Luhya @ 5.311491
11 50% Luhya +50% Norwegian @ 5.315924
12 50% Croatian +50% Luhya @ 5.343740
13 50% Lithuanian +50% Luhya @ 5.378326
14 50% English +50% Luhya @ 5.382190
15 50% Hungarian +50% Luhya @ 5.413824
16 50% French +50% Luhya @ 5.489570
17 50% Luhya +50% Ukrainian @ 5.499487
18 50% Luhya +50% Stuttgart @ 5.518406
19 50% Iranian +50% Masai @ 5.535844
20 50% Belarusian +50% Luhya @ 5.609611


Using 3 populations approximation:
1 50% Ethiopian_Jew +25% Masai +25% Turkish @ 0.000000

[HelloGuys]

*HelloGuys

Admix Results (sorted):

# Population Percent
1 W_Eurasian 64.71
2 E_Eurasian 28.53
3 SSA 6.76


*Sister

Admix Results (sorted):

# Population Percent
1 W_Eurasian 62.48
2 E_Eurasian 30.94
3 SSA 6.58


*Dad

Admix Results (sorted):

# Population Percent
1 W_Eurasian 61.8
2 E_Eurasian 33.7
3 SSA 4.5


*Mom

Admix Results (sorted):

# Population Percent
1 W_Eurasian 64.86
2 E_Eurasian 27.78
3 SSA 7.36


*Maternal grandma

Admix Results (sorted):

# Population Percent
1 W_Eurasian 62.44
2 E_Eurasian 29.81
3 SSA 7.74


*Maternal grandpa

Admix Results (sorted):

# Population Percent
1 W_Eurasian 67.05
2 E_Eurasian 27.9
3 SSA 5.05

[Laredo]

*HelloGuys

Admix Results (sorted):

# Population Percent
1 W_Eurasian 64.71
2 E_Eurasian 28.53
3 SSA 6.76


*Sister

Admix Results (sorted):

# Population Percent
1 W_Eurasian 62.48
2 E_Eurasian 30.94
3 SSA 6.58


*Dad

Admix Results (sorted):

# Population Percent
1 W_Eurasian 61.8
2 E_Eurasian 33.7
3 SSA 4.5


*Mom

Admix Results (sorted):

# Population Percent
1 W_Eurasian 64.86
2 E_Eurasian 27.78
3 SSA 7.36


*Maternal grandma

Admix Results (sorted):

# Population Percent
1 W_Eurasian 62.44
2 E_Eurasian 29.81
3 SSA 7.74


*Maternal grandpa

Admix Results (sorted):

# Population Percent
1 W_Eurasian 67.05
2 E_Eurasian 27.9
3 SSA 5.05

You have a quite high SSA mi estimado paisano, Anyway you and I are the only members with very similar racial make up but with only 2% differences can't really tell If it's SSA or amerindin or euro but it's there.

[HelloGuys]

You have a quite high SSA mi estimado paisano, Anyway you and I are the only members with very similar racial make up but with only 2% differences can't really tell If it's SSA or amerindin or euro but it's there.

I suggest you don't take this calculator seriously, it reads few SNP.

[chinshen]

Eurasia K3 Oracle

Admix Results (sorted):
# Population Percent
1 W_Eurasian 95.52
2 SSA 2.71
3 E_Eurasian 1.77


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

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

Least-squares method.

Using 1 population approximation:
1 Sicilian @ 0.741270
2 Cypriot @ 1.104692
3 Assyrian @ 1.428316
4 Ashkenazi_Jew @ 1.436071
5 Armenian @ 1.460770
6 Spanish @ 1.736182
7 Iraqi_Jew @ 2.076687
8 Georgian @ 2.344063
9 Iranian_Jew @ 2.365889
10 Greek @ 2.391670
11 Bulgarian @ 2.480407
12 Albanian @ 2.778430
13 French @ 3.260720
14 Croatian @ 3.283251
15 Georgian_Jew @ 3.292773
16 Hungarian @ 3.295691
17 Norwegian @ 3.306635
18 Czech @ 3.334791
19 Lithuanian @ 3.417546
20 Ukrainian @ 3.645233

Using 2 populations approximation:
1 50% Armenian +50% Cypriot @ 0.000000
2 50% Ashkenazi_Jew +50% Spanish @ 0.000000
3 50% Assyrian +50% Spanish @ 0.000000
4 50% Greek +50% Iraqi_Jew @ 0.000000
5 50% Albanian +50% Iraqi_Jew @ 0.303682
6 50% Iranian_Jew +50% Spanish @ 0.357999
7 50% Armenian +50% Sicilian @ 0.423207
8 50% Iraqi_Jew +50% Spanish @ 0.472135
9 50% Ashkenazi_Jew +50% Greek @ 0.550421
10 50% French +50% Iraqi_Jew @ 0.600142
11 50% Cypriot +50% Georgian @ 0.623451
12 50% Assyrian +50% Sicilian @ 0.675664
13 50% Assyrian +50% Cypriot @ 0.693155
14 50% Sicilian +50% Sicilian @ 0.741270
15 50% Armenian +50% Spanish @ 0.750278
16 50% Croatian +50% Iraqi_Jew @ 0.775705
17 50% Assyrian +50% Greek @ 0.784190
18 50% Georgian +50% Sicilian @ 0.801536
19 50% Ashkenazi_Jew +50% Sicilian @ 0.810879
20 50% Albanian +50% Ashkenazi_Jew @ 0.812822


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