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

[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

Spoiler!

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

Spoiler!

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

Spoiler!

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

Spoiler!

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