Post your Steppe K10 results

[Kelmendasi]

Could somebody do this for me please?

[knowledge is king]

A lot of appreciation to Litvin for his coordination. Presumably if I done the whole process correctly this are my results:

Steppe K10

31.27% East_Asian
22.34% Siberian
11.30% Steppe
10.51% Near_Eastern
9.23% WHG-UHG
7.43% Hindu_Kush
4.67% Southeast_Asian
2.71% Amerindian
0.54% Oceanian
0.00% Sub-Saharan

It situated my actual Steppe admixture is very low for some reason.

By the way what should I do with a spreadsheet of population averages? I had not used this document on any of made steps.

[knowledge is king]

I figured the Oracle out at last.

Steppe K10 Oracle

4 Ancestors Oracle
10 components mode.
Population data has been read. 180 populations found.
Personal data has been read. 20 approximations mode.
Threshold of components set to 0,5%

Least-squares method.

Using 1 population approximation:
1 Kyrgyz @ 9,803142
2 Tubalar @ 14,917013
3 Altaian @ 15,971444
4 Uygur @ 16,008522
5 Mongolian @ 19,161672
6 Uzbek @ 21,368827
7 Tuvinian @ 25,314703
8 Afghan_Turkmen @ 25,741394
9 Buryat @ 27,870734
10 Turkmen @ 31,289312
11 Nogai @ 32,721109
12 Oroqen @ 33,128739
13 Daur @ 35,215064
14 Even @ 35,280262
15 Chuvash @ 37,368977
16 Mansi @ 37,824544
17 Xibo @ 38,735513
18 Mongola @ 39,191879
19 Yakut @ 40,478831
20 Afghan_Tadjik @ 40,550171
180 iterations.

Using 2 populations approximation:
1 Mongolian+Uzbek @ 7,732363
2 Nogai+Oroqen @ 7,808379
3 Afghan_Turkmen+Mongolian @ 8,679148
4 Chuvash+Daur @ 8,708648
5 Altaian+Uygur @ 8,752712
6 Kyrgyz+Uygur @ 9,178684
7 Altaian+Uzbek @ 9,201708
8 Mongolian+Nogai @ 9,337934
9 Kyrgyz+Uzbek @ 9,466361
10 Tuvinian+Uzbek @ 9,614958
11 Buryat+Nogai @ 9,628527
12 Kyrgyz+Tubalar @ 9,754198
13 Kyrgyz+Kyrgyz @ 9,803142
14 Buryat+Uzbek @ 9,905971
15 Daur+Nogai @ 9,982407
16 Tubalar+Uygur @ 10,102566
17 Mongolian+Uygur @ 10,140071
18 Chuvash+Xibo @ 10,396946
19 Mongolian+Turkmen @ 10,400128
20 Tuvinian+Uygur @ 10,477784
16290 iterations.

Using 3 populations approximation:
1 50% Mongolian +25% Chuvash +25% Uygur @ 3,924148
2 50% Oroqen +25% Bosnian +25% Uygur @ 4,165109
3 50% Oroqen +25% Ukrainian_Lviv +25% Uzbek @ 4,284103
4 50% Kyrgyz +25% Bosnian +25% Oroqen @ 4,28842
5 50% Oroqen +25% Serbian_Bosnia +25% Uygur @ 4,342803
6 50% Oroqen +25% Hungarian +25% Uygur @ 4,364631
7 50% Oroqen +25% Ukrainian_Lviv +25% Uygur @ 4,37394
8 50% Oroqen +25% Ukrainian_Belgorod +25% Uzbek @ 4,385353
9 50% Oroqen +25% Ukrainian_Poltava +25% Uzbek @ 4,389101
10 50% Oroqen +25% Ukrainian_Kharkov +25% Uzbek @ 4,417664
11 50% Oroqen +25% Czech +25% Uygur @ 4,425159
12 50% Oroqen +25% Moksha +25% Turkmen @ 4,446496
13 50% Oroqen +25% Czech +25% Uzbek @ 4,449255
14 50% Oroqen +25% Ukrainian_Poltava +25% Uygur @ 4,464881
15 50% Oroqen +25% Croatian +25% Uygur @ 4,494012
16 50% Oroqen +25% Hungarian +25% Uzbek @ 4,496225
17 50% Daur +25% Saami_WGA +25% Turkmen @ 4,506962
18 50% Oroqen +25% Bosnian +25% Uzbek @ 4,507665
19 50% Altaian +25% Romanian +25% Xibo @ 4,570756
20 50% Oroqen +25% Alberstedt_LN +25% Uzbek @ 4,5851
1873333 iterations.

Using 4 populations approximation:
1 Chuvash+Naxi+Turkmen+Yakut @ 2,520663
2 Buryat+Chuvash+Turkmen+Xibo @ 2,529406
3 Buryat+Chuvash+Mongola+Turkmen @ 2,571277
4 Afghan_Turkmen+Buryat+Chuvash+Mongola @ 2,667122
5 Chuvash+Turkmen+Tuvinian+Xibo @ 2,727896
6 Chuvash+Daur+Mongolian+Turkmen @ 2,735304
7 Daur+Erzya+Oroqen+Turkmen @ 2,789596
8 Chuvash+Turkmen+Yakut+Yi @ 2,806689
9 Chuvash+Mongola+Turkmen+Tuvinian @ 2,852917
10 Afghan_Turkmen+Chuvash+Mongola+Tuvinian @ 2,853411
11 Afghan_Turkmen+Chuvash+Daur+Mongolian @ 2,882138
12 Daur+Oroqen+Russian_Kargopol+Turkmen @ 2,950621
13 Daur+Moksha+Oroqen+Turkmen @ 2,980591
14 Afghan_Turkmen+Daur+Moksha+Oroqen @ 3,035655
15 Afghan_Turkmen+Buryat+Chuvash+Xibo @ 3,051123
16 Afghan_Turkmen+Daur+Erzya+Oroqen @ 3,09419
17 Bosnian+Mongolian+Oroqen+Uygur @ 3,100803
18 Afghan_Turkmen+Chuvash+Naxi+Yakut @ 3,109085
19 Afghan_Turkmen+Chuvash+Tuvinian+Xibo @ 3,139047
20 Bosnian+Uygur+Xibo+Yakut @ 3,186423
21 Afghan_Turkmen+Chuvash+Yakut+Yi @ 3,210142
22 Hungarian+Mongolian+Oroqen+Uygur @ 3,236085
23 Buryat+Mongola+Saami_WGA+Turkmen @ 3,246854
24 Chuvash+Oroqen+Turkmen+Xibo @ 3,249415
25 Hungarian+Uygur+Xibo+Yakut @ 3,274666
26 Chuvash+Daur+Mongolian+Uzbek @ 3,283854
27 Ukrainian_Lviv+Uygur+Xibo+Yakut @ 3,295066
28 Buryat+Saami_WGA+Turkmen+Xibo @ 3,308296
29 Chuvash+Daur+Oroqen+Turkmen @ 3,316003
30 Mongolian+Oroqen+Ukrainian_Lviv+Uygur @ 3,334289
31 Chuvash+Tu+Turkmen+Yakut @ 3,347525
32 Mongolian+Oroqen+Serbian_Bosnia+Uygur @ 3,350831
33 Bosnian+Mongola+Uygur+Yakut @ 3,37068
34 Chuvash+Dolgan+Naxi+Turkmen @ 3,392257
35 Hungarian+Mongola+Uygur+Yakut @ 3,392948
36 Mongola+Ukrainian_Lviv+Uygur+Yakut @ 3,402737
37 Afghan_Turkmen+Daur+Oroqen+Russian_Kargopol @ 3,414983
38 Serbian_Bosnia+Uygur+Xibo+Yakut @ 3,427472
39 Czech+Uygur+Xibo+Yakut @ 3,427964
40 Ukrainian_Poltava+Uygur+Xibo+Yakut @ 3,42936
9154305 iterations.


Gaussian method.
Noise dispersion set to 0,520249

Using 1 population approximation:
1 Kyrgyz @ 5,751484
2 Uygur @ 10,530652
3 Mongolian @ 12,903858
4 Uzbek @ 13,068898
5 Altaian @ 13,973901
6 Afghan_Turkmen @ 18,043332
7 Turkmen @ 19,199905
8 Tuvinian @ 20,451149
9 Nogai @ 21,427129
10 Buryat @ 23,142117
11 Afghan_Tadjik @ 24,698682
12 Afghan_Uzbeki @ 25,706943
13 Even @ 27,134284
14 Tadjik @ 29,205967
15 Dolgan @ 31,28539
16 Chuvash @ 31,595807
17 Yakut @ 32,619964
18 Yukagir @ 34,723595
19 Mansi @ 35,747349
20 Tubalar @ 35,928109
180 iterations.

Using 2 populations approximation:
1 Kyrgyz+Kyrgyz @ 5,751484
2 Mongolian+Uzbek @ 6,051558
3 Kyrgyz+Uygur @ 6,296017
4 Altaian+Uygur @ 6,461532
5 Kyrgyz+Uzbek @ 6,774272
6 Altaian+Uzbek @ 7,220174
7 Mongolian+Uygur @ 7,24445
8 Mongolian+Nogai @ 7,481139
9 Afghan_Turkmen+Mongolian @ 7,489519
10 Tuvinian+Uzbek @ 7,520703
11 Even+Uygur @ 7,580493
12 Tubalar+Uygur @ 7,865224
13 Tuvinian+Uygur @ 8,07179
14 Mongolian+Turkmen @ 8,12914
15 Nogai+Oroqen @ 8,292284
16 Afghan_Turkmen+Oroqen @ 8,464278
17 Afghan_Turkmen+Daur @ 8,48434
18 Afghan_Turkmen+Kyrgyz @ 8,534109
19 Daur+Nogai @ 8,556699
20 Altaian+Kyrgyz @ 8,569327
16290 iterations.

Using 3 populations approximation:
1 50% Altaian +25% Romanian +25% Xibo @ 2,730171
2 50% Altaian +25% Mongola +25% Romanian @ 2,777116
3 50% Altaian +25% Bulgarian +25% Xibo @ 2,871987
4 50% Altaian +25% Macedonian +25% Xibo @ 2,899229
5 50% Altaian +25% Bulgarian +25% Mongola @ 2,910917
6 50% Altaian +25% Macedonian +25% Mongola @ 2,984119
7 50% Altaian +25% Bosnian +25% Xibo @ 3,142987
8 50% Altaian +25% Montenegrin +25% Xibo @ 3,184048
9 50% Altaian +25% Serbian +25% Xibo @ 3,213078
10 50% Altaian +25% Bosnian +25% Mongola @ 3,217156
11 50% Altaian +25% Kosovar +25% Xibo @ 3,220005
12 50% Altaian +25% Kosovar +25% Mongola @ 3,233981
13 50% Mongolian +25% Chuvash +25% Uygur @ 3,260722
14 50% Altaian +25% Mongola +25% Serbian @ 3,296951
15 50% Altaian +25% Mongola +25% Montenegrin @ 3,29958
16 50% Altaian +25% Serbian_Bosnia +25% Xibo @ 3,502333
17 50% Daur +25% Afghan_Turkmen +25% Chuvash @ 3,521548
18 50% Altaian +25% Daur +25% Romanian @ 3,537673
19 50% Altaian +25% Romanian +25% Tu @ 3,53853
20 50% Altaian +25% Bulgarian +25% Daur @ 3,59025
2915910 iterations.

Using 4 populations approximation:
1 Altaian+Romanian+Tubalar+Xibo @ 2,425355
2 Altaian+Kosovar+Tubalar+Xibo @ 2,459756
3 Altaian+Bulgarian+Tubalar+Xibo @ 2,508467
4 Kyrgyz+Mansi+Nogai+Xibo @ 2,5156
5 Afghan_Turkmen+Buryat+Chuvash+Mongola @ 2,607741
6 Altaian+Macedonian+Tubalar+Xibo @ 2,632884
7 Chuvash+Daur+Mongolian+Uzbek @ 2,640572
8 Kyrgyz+Mansi+Mongola+Nogai @ 2,682006
9 Altaian+Altaian+Romanian+Xibo @ 2,730171
10 Altaian+Altaian+Mongola+Romanian @ 2,777116
11 Altaian+Mongola+Romanian+Tubalar @ 2,868793
12 Altaian+Altaian+Bulgarian+Xibo @ 2,871987
13 Kyrgyz+Mansi+Nogai+Tu @ 2,886366
14 Altaian+Altaian+Macedonian+Xibo @ 2,899229
15 Altaian+Kosovar+Mongola+Tubalar @ 2,899283
16 Mansi+Mongolian+Nogai+Tu @ 2,902407
17 Afghan_Turkmen+Chuvash+Daur+Mongolian @ 2,907446
18 Altaian+Altaian+Bulgarian+Mongola @ 2,910917
19 Altaian+Greek+Tubalar+Xibo @ 2,914849
20 Even+Nogai+Tu+Tubalar @ 2,929563
21 Altaian+Bulgarian+Mongola+Tubalar @ 2,945424
22 Afghan_Turkmen+Chuvash+Mongola+Tuvinian @ 2,947829
23 Altaian+Mansi+Nogai+Tu @ 2,968852
24 Kosovar+Tubalar+Tuvinian+Xibo @ 2,969434
25 Altaian+Altaian+Macedonian+Mongola @ 2,984119
26 Afghan_Turkmen+Buryat+Chuvash+Xibo @ 3,015853
27 Altaian+Montenegrin+Tubalar+Xibo @ 3,029539
28 Mansi+Mongola+Mongolian+Nogai @ 3,032739
29 Mansi+Mongolian+Nogai+Xibo @ 3,049421
30 Kosovar+Mongola+Tubalar+Tuvinian @ 3,074344
31 Altaian+Macedonian+Mongola+Tubalar @ 3,088443
32 Afghan_Turkmen+Chuvash+Mongolian+Xibo @ 3,09456
33 Romanian+Tubalar+Tuvinian+Xibo @ 3,113291
34 Chuvash+Kyrgyz+Oroqen+Uygur @ 3,128231
35 Chuvash+Daur+Mongolian+Turkmen @ 3,136963
36 Bulgarian+Tubalar+Tuvinian+Xibo @ 3,142404
37 Altaian+Altaian+Bosnian+Xibo @ 3,142987
38 Afghan_Turkmen+Chuvash+Tuvinian+Xibo @ 3,14409
39 Mongolian+Oroqen+Ukrainian_Poltava+Uygur @ 3,146656
40 Korean+Kyrgyz+Mansi+Nogai @ 3,150798
45212895 iterations.

[Kazbolat]

A lot of appreciation to Litvin for his coordination. Presumably if I done the whole process correctly this are my results:

Steppe K10

31.27% East_Asian
22.34% Siberian
11.30% Steppe
10.51% Near_Eastern
9.23% WHG-UHG
7.43% Hindu_Kush
4.67% Southeast_Asian
2.71% Amerindian
0.54% Oceanian
0.00% Sub-Saharan

It situated my actual Steppe admixture is very low for some reason.

By the way what should I do with a spreadsheet of population averages? I had not used this document on any of made steps.

"steppe" here stands for yamnaya related ancestry, bro. of course kazakhs are billion times more "steppe" people than these poor steppe-wannabe europeans lel

[War Chef]

Wanna say all that work almost wasn't worth it.... but I did feel like Einstein doing it

35.79% Near_Eastern
0.21% East_Asian
2.08% Siberian
0.28% Oceanian
20.98% WHG-UHG
0.00% Sub-Saharan
14.75% Hindu_Kush
25.90% Steppe
0.00% Amerindian
0.00% Southeast_Asian

[Kriptc06]

----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

35.27% Near_Eastern
0.20% East_Asian
0.01% Siberian
0.54% Oceanian
23.40% WHG-UHG
11.20% Sub-Saharan
3.21% Hindu_Kush
12.79% Steppe > haters triggered
13.36% Amerindian
0.02% Southeast_Asian

Didnt find oracle files

[Kriptc06]

Found it

Spoiler!

4 Ancestors Oracle
Version 0.97 by Alexandr Burnashev

Data file is D:\AO\data_SteppeK10_comma.txt
10 components mode.
Population data has been read. 180 populations found.
Personal data has been read. 20 approximations mode.
Person: Test1
Threshold of components set to 0.5%


Least-squares method.

Using 1 population approximation:
1 Romanian @ 21.724964
2 Bulgarian @ 22.003216
3 Macedonian @ 22.26405
4 Serbian @ 22.683727
5 Kosovar @ 22.714524
6 Montenegrin @ 22.714763
7 Bergamo @ 23.192375
8 Albanian @ 23.529239
9 Tuscan @ 23.813446
10 Spanish @ 23.819511
11 Bosnian @ 24.009241
12 French @ 24.039712
13 Serbian_Bosnia @ 24.335098
14 Croatian @ 24.44277
15 Greek @ 25.142367
16 West_Sicilian @ 25.250691
17 Hungarian @ 25.480074
18 Sicilian @ 26.466991
19 Maltese @ 26.95807
20 Utah_USA @ 27.100785
180 iterations.

Using 2 populations approximation:
1 Algerian+Moksha @ 14.437643
2 Algerian+Halberstadt_LBA @ 14.582553
3 Moksha+Tunisian @ 14.594334
4 Karelia_HG+Tunisian @ 14.622085
5 Russian_Kargopol+Tunisian @ 14.658619
6 Finnish+Tunisian @ 14.660526
7 Algerian+Russian_Kargopol @ 14.687803
8 Halberstadt_LBA+Tunisian @ 14.706486
9 Algerian+Erzya @ 14.712844
10 MA1+Moroccan @ 14.77641
11 Erzya+Tunisian @ 14.801674
12 Algerian+Karelia_HG @ 14.828292
13 Algerian+Russian @ 14.843882
14 Algerian+Finnish @ 14.872781
15 Algerian+BenzigerodeHeimburg_LN @ 14.882238
16 Russian+Tunisian @ 14.908194
17 Moksha+Moroccan @ 14.910366
18 Estonian+Tunisian @ 14.94983
19 Alberstedt_LN+Algerian @ 14.960097
20 Karelia_HG+Moroccan @ 14.991276
16290 iterations.

Using 3 populations approximation:
1 50% Algerian +25% HungaryGamba_BA +25% MA1 @ 9.554788
2 50% Algerian +25% MA1 +25% Utah_British @ 9.562798
3 50% Algerian +25% Icelandic +25% MA1 @ 9.628096
4 50% Algerian +25% MA1 +25% Orcadian @ 9.647285
5 50% Algerian +25% MA1 +25% Norwegian @ 9.652775
6 50% Algerian +25% MA1 +25% Utah_Scandinavian @ 9.655014
7 50% Algerian +25% MA1 +25% Scottish @ 9.695303
8 50% Algerian +25% MA1 +25% Utah_German @ 9.726286
9 50% Algerian +25% Bell_Beaker_LN +25% MA1 @ 9.728934
10 50% Algerian +25% MA1 +25% Utah_USA @ 9.739284
11 50% Moroccan +25% MA1 +25% Utah_British @ 9.758895
12 50% Algerian +25% English +25% MA1 @ 9.763501
13 50% Algerian +25% Halberstadt_LBA +25% MA1 @ 9.807562
14 50% Moroccan +25% MA1 +25% Utah_Scandinavian @ 9.821095
15 50% Moroccan +25% Icelandic +25% MA1 @ 9.823442
16 50% Moroccan +25% MA1 +25% Norwegian @ 9.829873
17 50% Moroccan +25% MA1 +25% Orcadian @ 9.837638
18 50% Moroccan +25% HungaryGamba_BA +25% MA1 @ 9.869137
19 50% Moroccan +25% MA1 +25% Scottish @ 9.88679
20 50% Moroccan +25% Bell_Beaker_LN +25% MA1 @ 9.889319
2086956 iterations.

Using 4 populations approximation:
1 Algerian+Algerian+HungaryGamba_BA+MA1 @ 9.554788
2 Algerian+Algerian+MA1+Utah_British @ 9.562798
3 Algerian+MA1+Moroccan+Utah_British @ 9.60137
4 Algerian+Algerian+Icelandic+MA1 @ 9.628096
5 Algerian+Algerian+MA1+Orcadian @ 9.647285
6 Algerian+Algerian+MA1+Norwegian @ 9.652775
7 Algerian+HungaryGamba_BA+MA1+Moroccan @ 9.653582
8 Algerian+Algerian+MA1+Utah_Scandinavian @ 9.655014
9 Algerian+Icelandic+MA1+Moroccan @ 9.666688
10 Algerian+MA1+Moroccan+Utah_Scandinavian @ 9.678912
11 Algerian+MA1+Moroccan+Norwegian @ 9.68225
12 Algerian+MA1+Moroccan+Orcadian @ 9.683458
13 Algerian+Algerian+MA1+Scottish @ 9.695303
14 Algerian+Algerian+MA1+Utah_German @ 9.726286
15 Algerian+Algerian+Bell_Beaker_LN+MA1 @ 9.728934
16 Algerian+MA1+Moroccan+Scottish @ 9.732342
17 Algerian+Algerian+MA1+Utah_USA @ 9.739284
18 Algerian+Bell_Beaker_LN+MA1+Moroccan @ 9.750391
19 MA1+Moroccan+Moroccan+Utah_British @ 9.758895
20 Algerian+MA1+Moroccan+Utah_German @ 9.761845
21 Algerian+Algerian+English+MA1 @ 9.763501
22 Algerian+MA1+Moroccan+Utah_USA @ 9.778483
23 Algerian+Algerian+Halberstadt_LBA+MA1 @ 9.807562
24 Algerian+English+MA1+Moroccan @ 9.817146
25 MA1+Moroccan+Moroccan+Utah_Scandinavian @ 9.821095
26 Icelandic+MA1+Moroccan+Moroccan @ 9.823442
27 Algerian+Halberstadt_LBA+MA1+Moroccan @ 9.823864
28 MA1+Moroccan+Moroccan+Norwegian @ 9.829873
29 MA1+Moroccan+Moroccan+Orcadian @ 9.837638
30 HungaryGamba_BA+MA1+Moroccan+Moroccan @ 9.869137
31 MA1+Moroccan+Moroccan+Scottish @ 9.88679
32 Bell_Beaker_LN+MA1+Moroccan+Moroccan @ 9.889319
33 MA1+Moroccan+Moroccan+Utah_German @ 9.91449
34 MA1+Moroccan+Moroccan+Utah_USA @ 9.934502
35 Halberstadt_LBA+MA1+Moroccan+Moroccan @ 9.95685
36 English+MA1+Moroccan+Moroccan @ 9.986856
37 Algerian+Algerian+Czech+MA1 @ 10.099691
38 Algerian+Czech+MA1+Moroccan @ 10.127221
39 Algerian+HungaryGamba_BA+MA1+Tunisian @ 10.149032
40 Algerian+Algerian+MA1+Polish @ 10.156829
17294583 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Moroccan_Jew @ 22.980156
2 Libyan_Jew @ 29.161392
3 Moroccan_Jewish @ 29.81782
4 Maltese @ 30.010355
5 BenzigerodeHeimburg_LN @ 30.274352
6 Lebanese @ 31.229943
7 South_Italian @ 31.543213
8 Spanish @ 31.759462
9 West_Sicilian @ 32.585547
10 BedouinA @ 33.286768
11 Moroccan @ 33.289293
12 East_Sicilian @ 33.345671
13 Turkish_Jew @ 33.721119
14 Utah_British @ 33.790829
15 Syrian @ 34.212416
16 Lebanese_Muslim @ 34.345659
17 Utah_German @ 35.058919
18 Egyptian @ 35.657064
19 Tunisian @ 35.681858
20 Palestinian @ 35.776101
180 iterations.

Using 2 populations approximation:
1 Karelia_HG+Tunisian @ 8.520204
2 Karelia_HG+Moroccan @ 9.338163
3 Egyptian+Karelia_HG @ 9.425558
4 MA1+Moroccan @ 9.620884
5 Algerian+Karelia_HG @ 9.638963
6 Algerian+MA1 @ 9.900308
7 Karelia_HG+Yemen @ 10.348189
8 BedouinA+Karelia_HG @ 10.394883
9 Samara_HG+Tunisian @ 10.404522
10 MA1+Tunisian @ 10.431085
11 Moroccan+Samara_HG @ 10.998777
12 Algerian+Samara_HG @ 11.285764
13 Egyptian+Samara_HG @ 11.439532
14 Karelia_HG+Palestinian @ 11.482558
15 BedouinA+Samara_HG @ 12.237387
16 Jordanian+Karelia_HG @ 12.260312
17 Samara_HG+Yemen @ 12.26694
18 Karelia_HG+Libyan_Jew @ 12.764642
19 Egyptian+MA1 @ 13.194236
20 Palestinian+Samara_HG @ 13.22995
16290 iterations.

Using 3 populations approximation:
1 50% Moroccan +25% BenzigerodeHeimburg_LN +25% Quechua @ 6.938113
2 50% Moroccan +25% BenzigerodeHeimburg_LN +25% Bolivian @ 7.009383
3 50% Moroccan +25% BenzigerodeHeimburg_LN +25% Mayan @ 7.11575
4 50% Tunisian +25% Lithuanian +25% Quechua @ 7.173971
5 50% Moroccan +25% Alberstedt_LN +25% Quechua @ 7.253879
6 50% Tunisian +25% Bolivian +25% Lithuanian @ 7.268723
7 50% Moroccan +25% Halberstadt_LBA +25% Quechua @ 7.26889
8 50% French +25% Algerian +25% Quechua @ 7.318829
9 50% English +25% Algerian +25% Mayan @ 7.31903
10 50% English +25% Algerian +25% Quechua @ 7.323133
11 50% French +25% Algerian +25% Mayan @ 7.324403
12 50% Moroccan +25% Alberstedt_LN +25% Bolivian @ 7.335257
13 50% English +25% Algerian +25% Bolivian @ 7.354889
14 50% Moroccan +25% Bolivian +25% Halberstadt_LBA @ 7.360255
15 50% Tunisian +25% Lithuanian +25% Mayan @ 7.364215
16 50% French +25% Algerian +25% Bolivian @ 7.367632
17 50% Orcadian +25% Algerian +25% Quechua @ 7.3739
18 50% Algerian +25% BenzigerodeHeimburg_LN +25% Quechua @ 7.374504
19 50% Utah_USA +25% Algerian +25% Quechua @ 7.376692
20 50% Utah_USA +25% Algerian +25% Mayan @ 7.378466
2915910 iterations.

Using 4 populations approximation:
1 BenzigerodeHeimburg_LN+Moroccan+Moroccan+Quechua @ 6.938113
2 BenzigerodeHeimburg_LN+Bolivian+Moroccan+Moroccan @ 7.009383
3 Algerian+BenzigerodeHeimburg_LN+Quechua+Spanish @ 7.064181
4 BenzigerodeHeimburg_LN+Moroccan+Quechua+Tunisian @ 7.06497
5 Lithuanian+Moroccan+Quechua+Tunisian @ 7.095015
6 Algerian+BenzigerodeHeimburg_LN+Bolivian+Spanish @ 7.106791
7 Algerian+BenzigerodeHeimburg_LN+Mayan+Spanish @ 7.107549
8 Algerian+BenzigerodeHeimburg_LN+Esperstedt_MN+Maya n @ 7.115315
9 BenzigerodeHeimburg_LN+Mayan+Moroccan+Moroccan @ 7.11575
10 Algerian+BenzigerodeHeimburg_LN+Esperstedt_MN+Quec hua @ 7.128515
11 Alberstedt_LN+Algerian+Quechua+Spanish @ 7.138596
12 Algerian+Halberstadt_LBA+Quechua+Tuscan @ 7.138918
13 Algerian+BenzigerodeHeimburg_LN+Moroccan+Quechua @ 7.139048
14 Algerian+Bergamo+Halberstadt_LBA+Quechua @ 7.145086
15 Algerian+Halberstadt_LBA+Quechua+Spanish @ 7.150708
16 Algerian+BenzigerodeHeimburg_LN+Bolivian+Espersted t_MN @ 7.153251
17 BenzigerodeHeimburg_LN+Bolivian+Moroccan+Tunisian @ 7.156288
18 Algerian+Halberstadt_LBA+Quechua+West_Sicilian @ 7.15684
19 Alberstedt_LN+Algerian+Mayan+Spanish @ 7.16275
20 Algerian+BenzigerodeHeimburg_LN+Mayan+Spain_MN @ 7.163319
21 Algerian+Bergamo+Halberstadt_LBA+Mayan @ 7.166194
22 Bolivian+Lithuanian+Moroccan+Tunisian @ 7.169676
23 Algerian+Icelandic+Quechua+West_Sicilian @ 7.171582
24 Algerian+Bergamo+Orcadian+Quechua @ 7.172939
25 Lithuanian+Quechua+Tunisian+Tunisian @ 7.173971
26 Algerian+Halberstadt_LBA+Mayan+Spanish @ 7.175345
27 Algerian+Icelandic+Quechua+Tuscan @ 7.175678
28 Algerian+Halberstadt_LBA+Mayan+Tuscan @ 7.177001
29 Algerian+BenzigerodeHeimburg_LN+Bergamo+Quechua @ 7.181289
30 Algerian+Orcadian+Quechua+Tuscan @ 7.183682
31 Algerian+BenzigerodeHeimburg_LN+Quechua+Spain_MN @ 7.184566
32 Algerian+Bergamo+Icelandic+Quechua @ 7.187237
33 Alberstedt_LN+Algerian+Bolivian+Spanish @ 7.18824
34 Algerian+Lithuanian+Quechua+West_Sicilian @ 7.188697
35 Algerian+Lithuanian+Maltese+Quechua @ 7.189139
36 Algerian+Kosovar+Orcadian+Quechua @ 7.190421
37 Algerian+Bergamo+Mayan+Orcadian @ 7.193162
38 Alberstedt_LN+Algerian+Bergamo+Quechua @ 7.194005
39 Algerian+Bergamo+Bolivian+Halberstadt_LBA @ 7.196954
40 Algerian+Bolivian+Halberstadt_LBA+Tuscan @ 7.197528
45212895 iterations.

Attached the Orcale file, for the dots brothers
Attachment 64823

[knowledge is king]

Do you have an admix4 utility?

Then you can fing the population averages here http://www.theapricity.com/forum/sho...=1#post3571576

Run this file and enter your admixture proportions in the app.

[Kelmendasi]

49.58% Near_Eastern
0.00% East_Asian
0.03% Siberian
0.82% Oceanian
25.74% WHG-UHG
0.00% Sub-Saharan
6.17% Hindu_Kush
17.05% Steppe
0.01% Amerindian
0.60% Southeast_Asian

[The Illyrian Warrior]

46.78% Near_Eastern
0.03% East_Asian
0.00% Siberian
0.00% Oceanian
24.14% WHG-UHG
0.00% Sub-Saharan
5.78% Hindu_Kush
22.61% Steppe
0.00% Amerindian
0.67% Southeast_Asian

Credit to Big Boss, he run app for me.