4



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| Received: 10,987/64 Given: 20,238/16 |
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
“The most merciful thing in the world, I think, is the inability of the human mind to correlate all its contents. We live on a placid island of ignorance in the midst of black seas of infinity, and it was not meant that we should voyage far. The sciences, each straining in its own direction, have hitherto harmed us little; but some day the piecing together of dissociated knowledge will open up such terrifying vistas of reality, and of our frightful position therein, that we shall either go mad from the revelation or flee from the light into the peace and safety of a new dark age.”
- H.P. Lovecraft


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| Received: 13,551/250 Given: 34,200/232 |
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




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| Received: 23,146/718 Given: 20,224/1,181 |
Results of a Czech guy:
Population
E_Eurasian 4.90
SSA -
W_Eurasian 95.10
My DNA Origin analysis for 16 EUR (you get 2 reports examining ancestry from 2114 regions, 190 countries): https://www.exploreyourdna.com/DNAOrigin.aspx
This analysis is not based on G25 but on ADMIXTURE. And it has more regions than any other DNA test!




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| Received: 11,260/52 Given: 6,741/3 |
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



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| Received: 1,071/0 Given: 772/1 |
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


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| Received: 1,309/46 Given: 0/0 |
Population
E_Eurasian 0.61
SSA -
W_Eurasian 99.39


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| Received: 7,817/25 Given: 11,069/52 |
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.



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| Received: 6,154/1,071 Given: 10,212/98 |
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


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| Received: 1,538/309 Given: 1,428/181 |
Slavic as fuck?
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 95.58 2 E_Eurasian 4.11
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.
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