My results:
Population
E_Eurasian 2.83
SSA -
W_Eurasian 97.17
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My results:
Population
E_Eurasian 2.83
SSA -
W_Eurasian 97.17
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
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.
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.
Ancestry
Spoiler!
FTDNA
Spoiler!
23andMe
Spoiler!
Father FTDNA
Spoiler!
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
Admix Results (sorted):
# Population Percent
1 W_Eurasian 86.92
2 E_Eurasian 11.66
3 SSA 1.41
# Population Percent
1 W_Eurasian 96.51
2 E_Eurasian 3.49