Post your Gedrosia K3 results

[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