Post your Gedrosia K3 results

Quote:

---

Originally Posted by 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

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

Quote:

---

Originally Posted by Anakin

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.

Pure caucasoid :

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

Quote:

---

Originally Posted by Ibericus

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)

Quote:

---

Originally Posted by Petalpusher

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

# 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

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

Quote:

---

Originally Posted by Petalpusher

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).

# 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

Catalan :

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

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:

# 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:

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

# 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)

# 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

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

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

Quote:

---

Originally Posted by Hamlet

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.

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

Quote:

---

Originally Posted by Hamlet

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.

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

# 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

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

Quote:

---

Originally Posted by 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

Quote:

---

Originally Posted by Dick

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.

Quote:

---

Originally Posted by Dibran

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/-4bxM1vVRlY...eople+(32).jpg

Quote:

---

Originally Posted by Dick

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/-4bxM1vVRlY...eople+(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

Quote:

---

Originally Posted by Dick

http://2.bp.blogspot.com/-4bxM1vVRlY...eople+(32).jpg

---

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

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

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

Test 1

Spoiler!

# 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

Spoiler!

# 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

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

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

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

# 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

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

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

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

# 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