My Steppe K10 DIY Dodecad test results + post yours

[Congolese Rice]

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

22.22% Near_Eastern
0.00% East_Asian
0.05% Siberian
0.05% Oceanian
27.41% WHG-UHG
25.60% Sub-Saharan
3.74% Hindu_Kush
17.76% Steppe
1.40% Amerindian
1.77% Southeast_Asian

CPU time = 46.17 sec

i dont know if my amount of near_eastern is normal for people of my admixture but i have known middle eastern ancestry and it is indeed around 10-20%, do you guys think this is accurate? i personally think so cuz this would make alot of results of mine clear as day, i always score around 1-4% on south asian and 2-3% on kalash.

[Kaspias]

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

22.22% Near_Eastern
0.00% East_Asian
0.05% Siberian
0.05% Oceanian
27.41% WHG-UHG
25.60% Sub-Saharan
3.74% Hindu_Kush
17.76% Steppe
1.40% Amerindian
1.77% Southeast_Asian

CPU time = 46.17 sec

i dont know if my amount of near_eastern is normal for people of my admixture but i have known middle eastern ancestry and it is indeed around 10-20%, do you guys think this is accurate? i personally think so cuz this would make alot of results of mine clear as day, i always score around 1-4% on south asian and 2-3% on kalash.

Can you share calculator files?

[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
13.36% Amerindian
0.02% Southeast_Asian

check it out mate :P

[Congolese Rice]

----------------------------
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
13.36% Amerindian
0.02% Southeast_Asian

check it out mate :P

nice my fren

do you have any known arab ancestry in both genealogy and or test results? for you it could very likely be part med and part lebanese perhaps XD ALOT of lebanese went to brazil, like 5 million or so.

[DaiViet]

Where can I find the files for this calculator?

[Congolese Rice]

Where can I find the files for this calculator?

https://www.eupedia.com/forum/threads/32855-Post-your-Eurogenes-Steppe-K10


:D

[Impaler]

38.89% Near_Eastern
0.41% East_Asian
2.83% Siberian
0.29% Oceanian
22.69% WHG-UHG
0.00% Sub-Saharan
17.95% Hindu_Kush
16.69% Steppe
0.00% Amerindian
0.24% Southeast_Asian

Least-squares method.

Using 1 population approximation:
1 Kosovar @ 15.764208
2 Bulgarian @ 15.850009
3 Romanian @ 16.003701
4 Macedonian @ 16.723244
5 Greek @ 17.071516
6 Albanian @ 17.137002
7 West_Sicilian @ 17.359753
8 Tuscan @ 17.909435
9 Bergamo @ 18.40193
10 Ashkenazi_Jew @ 18.5789
11 Sicilian @ 18.646353
12 Montenegrin @ 18.723221
13 Serbian @ 18.868752
14 Turkish @ 19.218385
15 Maltese @ 19.877719
16 East_Sicilian @ 20.088798
17 Bosnian @ 20.372416
18 Kumyk @ 21.353657
19 South_Italian @ 21.493169
20 Serbian_Bosnia @ 21.696391
180 iterations.

Using 2 populations approximation:
1 Bell_Beaker_LN+Iranian_Jewish @ 2.923249
2 HungaryGamba_BA+Iranian @ 2.959998
3 Bell_Beaker_LN+Iranian_Jew @ 2.96679
4 HungaryGamba_BA+Kurdish @ 3.160402
5 Iranian_Jewish+Norwegian @ 3.361403
6 Halberstadt_LBA+Iranian_Jew @ 3.415239
7 Assyrian+Bell_Beaker_LN @ 3.583675
8 Icelandic+Iranian_Jewish @ 3.730536
9 English+Kurdish @ 3.757815
10 Iranian_Jew+Norwegian @ 3.870511
11 Halberstadt_LBA+Iranian_Jewish @ 3.895965
12 Bell_Beaker_LN+Iraqi_Jewish @ 3.909595
13 Kurdish+Utah_USA @ 3.94166
14 Iranian_Jewish+Scottish @ 3.953217
15 Iranian_Jewish+Orcadian @ 4.090822
16 French+Kurdish @ 4.096944
17 Kurdish+Utah_British @ 4.138468
18 Icelandic+Iranian_Jew @ 4.160623
19 Halberstadt_LBA+Iraqi_Jewish @ 4.225347
20 Iranian_Jewish+Utah_Scandinavian @ 4.231743
16290 iterations.

Using 3 populations approximation:
1 50% Kurdish +25% Basque +25% Russian_Kargopol @ 1.5815
2 50% Kurdish +25% Basque +25% Erzya @ 1.672606
3 50% Kurdish +25% Finnish +25% Spanish_North @ 1.714202
4 50% Kurdish +25% Finnish +25% French_South @ 1.762918
5 50% Kurdish +25% Basque +25% Moksha @ 1.890638
6 50% Kurdish +25% Basque +25% Russian @ 1.914565
7 50% Kurdish +25% Russian_Kargopol +25% Spanish_North @ 1.940222
8 50% Kurdish +25% Basque +25% Finnish @ 2.104243
9 50% Kurdish +25% Basque +25% Ukrainian_Belgorod @ 2.127476
10 50% Kurdish +25% French_South +25% Russian_Kargopol @ 2.18576
11 50% Kurdish +25% Russian +25% Spanish_North @ 2.192102
12 50% Kurdish +25% Basque +25% Belarusian @ 2.272536
13 50% Kurdish +25% Erzya +25% Spanish_North @ 2.292885
14 50% Kurdish +25% Basque +25% Polish @ 2.358331
15 50% Kurdish +25% French_South +25% Russian @ 2.360619
16 50% Kurdish +25% Moksha +25% Spanish_North @ 2.368886
17 50% Kurdish +25% Belarusian +25% Spanish_North @ 2.392375
18 50% Kurdish +25% Basque +25% Ukrainian_Poltava @ 2.419373
19 50% Kurdish +25% Basque +25% Ukrainian_Kharkov @ 2.424251
20 50% Kurdish +25% Polish +25% Spanish_North @ 2.435087
1887799 iterations.

Using 4 populations approximation:
1 Basque+Kurdish+Kurdish+Russian_Kargopol @ 1.5815
2 Finnish+Iranian_Jewish+Kurdish+Spanish_North @ 1.649104
3 Basque+Erzya+Kurdish+Kurdish @ 1.672606
4 Finnish+Iranian+Iranian_Jewish+Spanish_North @ 1.691393
5 Finnish+French_South+Iranian_Jewish+Kurdish @ 1.699607
6 Finnish+Kurdish+Kurdish+Spanish_North @ 1.714202
7 Finnish+French_South+Kurdish+Kurdish @ 1.762918
8 Finnish+French_South+Iranian+Iranian_Jewish @ 1.802539
9 Basque+Kurdish+Kurdish+Moksha @ 1.890638
10 Basque+Kurdish+Kurdish+Russian @ 1.914565
11 Kurdish+Kurdish+Russian_Kargopol+Spanish_North @ 1.940222
12 Armenian+Basque+Finnish+Iranian @ 1.983637
13 Armenian+Basque+Iranian+Russian_Kargopol @ 1.989417
14 Assyrian+Finnish+Iranian+Spanish_North @ 2.00047
15 Basque+Iranian_Jewish+Kurdish+Russian_Kargopol @ 2.00175
16 Assyrian+Finnish+French_South+Iranian @ 2.020928
17 Finnish+Iranian+Iranian_Jew+Spanish_North @ 2.066133
18 Basque+Finnish+Iranian_Jewish+Kurdish @ 2.074388
19 Basque+Finnish+Kurdish+Kurdish @ 2.104243
20 Finnish+French_South+Iranian+Iranian_Jew @ 2.122247
21 Basque+Kurdish+Kurdish+Ukrainian_Belgorod @ 2.127476
22 Basque+Erzya+Iranian_Jewish+Kurdish @ 2.134152
23 Armenian+Basque+Erzya+Iranian @ 2.154727
24 Iranian+Iranian_Jewish+Russian_Kargopol+Spanish_No rth @ 2.166306
25 French_South+Kurdish+Kurdish+Russian_Kargopol @ 2.18576
26 Kurdish+Kurdish+Russian+Spanish_North @ 2.192102
27 Armenian+Finnish+Iranian+Spanish_North @ 2.194254
28 Assyrian+Basque+Iranian+Russian_Kargopol @ 2.199481
29 Armenian+Finnish+French_South+Iranian @ 2.236042
30 Basque+Iranian+Iranian_Jewish+Russian_Kargopol @ 2.249858
31 Basque+Belarusian+Kurdish+Kurdish @ 2.272536
32 Iranian_Jewish+Kurdish+Russian_Kargopol+Spanish_No rth @ 2.275111
33 Assyrian+Basque+Erzya+Iranian @ 2.281402
34 Finnish+Iranian_Jew+Kurdish+Spanish_North @ 2.289185
35 Finnish+French_South+Iranian_Jew+Kurdish @ 2.292636
36 Erzya+Kurdish+Kurdish+Spanish_North @ 2.292885
37 Assyrian+Basque+Finnish+Iranian @ 2.321861
38 Basque+Kurdish+Kurdish+Polish @ 2.358331
39 French_South+Kurdish+Kurdish+Russian @ 2.360619
40 Basque+Erzya+Iranian+Iranian_Jewish @ 2.363507
11439352 iterations.


Gaussian method.
Noise dispersion set to 0.520249



Using 1 population approximation:
1 East_Sicilian @ 8.620623
2 Ashkenazi_Jew @ 8.632143
3 Greek @ 8.743869
4 West_Sicilian @ 8.872269
5 Maltese @ 9.003729
6 Sicilian @ 9.073835
7 Kosovar @ 9.412213
8 South_Italian @ 9.570664
9 Turkish_Jew @ 9.649996
10 Sephardic_Jewish @ 9.909117
11 Bulgarian @ 10.213821
12 Romanian @ 10.387774
13 Albanian @ 10.556171
14 Tuscan @ 10.690052
15 Turkish @ 11.586218
16 Moroccan_Jewish @ 11.770666
17 Macedonian @ 11.898275
18 Bergamo @ 12.118253
19 Nogai @ 12.568315
20 Bell_Beaker_LN @ 12.608598
180 iterations.

Using 2 populations approximation:
1 Iranian_Jew+Norwegian @ 4.663463
2 Kurdish+Norwegian @ 4.774418
3 Finnish+Iranian_Jew @ 4.779414
4 HungaryGamba_BA+Kurdish @ 4.850051
5 Kurdish+Scottish @ 4.905898
6 Estonian+Iranian_Jew @ 4.946051
7 Iranian_Jewish+Norwegian @ 5.038269
8 Assyrian+Norwegian @ 5.088909
9 Finnish+Iranian_Jewish @ 5.112393
10 Finnish+Iraqi_Jew @ 5.129139
11 Iranian_Jew+Ukrainian_Belgorod @ 5.136785
12 Iranian_Jew+Ukrainian_Poltava @ 5.156442
13 English+Kurdish @ 5.170031
14 Assyrian+Finnish @ 5.174339
15 Adygei+Basque @ 5.176
16 Adygei+Spanish_North @ 5.190718
17 Iranian_Jew+Russian @ 5.196088
18 Icelandic+Kurdish @ 5.207348
19 Iranian_Jew+Scottish @ 5.223285
20 Finnish+Iraqi_Jewish @ 5.231497
16290 iterations.

Using 3 populations approximation:
1 50% Georgian +25% Finnish +25% Spain_MN @ 3.9505
2 50% Iranian_Jew +25% Finnish +25% HungaryGamba_BA @ 3.965103
3 50% Georgian +25% Basque +25% Finnish @ 4.012889
4 50% Armenian +25% Basque +25% Finnish @ 4.034901
5 50% Iranian_Jew +25% Finnish +25% Scottish @ 4.065874
6 50% Iranian_Jew +25% Bell_Beaker_LN +25% Finnish @ 4.09057
7 50% Kurdish +25% Finnish +25% Spain_MN @ 4.097518
8 50% Iranian_Jew +25% Finnish +25% Norwegian @ 4.101303
9 50% Iranian_Jew +25% Finnish +25% Icelandic @ 4.103829
10 50% Armenian +25% Finnish +25% Spanish_North @ 4.109559
11 50% Iranian_Jew +25% English +25% Finnish @ 4.133837
12 50% Iranian_Jew +25% Finnish +25% Halberstadt_LBA @ 4.145188
13 50% Iranian_Jew +25% Finnish +25% Orcadian @ 4.157343
14 50% Georgian +25% Finnish +25% Spanish_North @ 4.178405
15 50% Iranian_Jew +25% Finnish +25% Spanish_North @ 4.178622
16 50% Kurdish +25% Finnish +25% Spanish_North @ 4.185286
17 50% Iranian_Jewish +25% Finnish +25% HungaryGamba_BA @ 4.22185
18 50% Kurdish +25% Basque +25% Finnish @ 4.237611
19 50% Iranian_Jew +25% Alberstedt_LN +25% Finnish @ 4.256667
20 50% Georgian +25% Esperstedt_MN +25% Finnish @ 4.282538
2292416 iterations.

Using 4 populations approximation:
1 Basque+Finnish+Georgian+Iranian_Jew @ 3.763746
2 Finnish+Georgian+Kurdish+Spain_MN @ 3.78726
3 Finnish+Georgian+Iranian_Jew+Spanish_North @ 3.818256
4 Basque+Finnish+Georgian+Iranian_Jewish @ 3.896682
5 Basque+Finnish+Georgian+Kurdish @ 3.9227
6 Armenian+Basque+Finnish+Georgian @ 3.938272
7 Finnish+Georgian+Georgian+Spain_MN @ 3.9505
8 Finnish+Georgian+Iranian_Jew+Spain_MN @ 3.958026
9 Assyrian+Basque+Finnish+Georgian @ 3.961423
10 Finnish+HungaryGamba_BA+Iranian_Jew+Iranian_Jew @ 3.965103
11 Finnish+Georgian+Iranian_Jewish+Spanish_North @ 3.965936
12 Armenian+Basque+Finnish+Kurdish @ 3.971425
13 Armenian+Finnish+Kurdish+Spanish_North @ 3.979095
14 Finnish+Georgian+Kurdish+Spanish_North @ 3.987427
15 Basque+Finnish+Georgian+Georgian @ 4.012889
16 Finnish+Georgian+Iranian_Jewish+Spain_MN @ 4.021539
17 Armenian+Finnish+Iranian_Jew+Spanish_North @ 4.025569
18 Finnish+Iranian_Jew+Kurdish+Spanish_North @ 4.029325
19 Finnish+French_South+Georgian+Iranian_Jew @ 4.032864
20 Armenian+Armenian+Basque+Finnish @ 4.034901
21 Armenian+Basque+Finnish+Iranian_Jew @ 4.042672
22 Armenian+Finnish+Kurdish+Spain_MN @ 4.045671
23 Finnish+Iranian_Jew+Lezgin+Spain_MN @ 4.04853
24 Assyrian+Finnish+Georgian+Spanish_North @ 4.054843
25 Armenian+Finnish+Georgian+Spain_MN @ 4.059032
26 Esperstedt_MN+Finnish+Georgian+Kurdish @ 4.06206
27 Finnish+Iranian_Jew+Iranian_Jew+Scottish @ 4.065874
28 Armenian+Finnish+Georgian+Spanish_North @ 4.067105
29 Assyrian+Finnish+Kurdish+Spanish_North @ 4.07524
30 Bell_Beaker_LN+Finnish+Iranian_Jew+Iranian_Jew @ 4.09057
31 Finnish+Kurdish+Kurdish+Spain_MN @ 4.097518
32 Finnish+HungaryGamba_BA+Iranian_Jew+Iranian_Jewish @ 4.099002
33 Finnish+Iranian_Jew+Iranian_Jew+Norwegian @ 4.101303
34 Finnish+HungaryGamba_BA+Iranian_Jew+Kurdish @ 4.101722
35 Finnish+Icelandic+Iranian_Jew+Iranian_Jew @ 4.103829
36 Abkhasian+Basque+Finnish+Iranian_Jew @ 4.105183
37 Armenian+Basque+Finnish+Iranian_Jewish @ 4.107753
38 Armenian+Finnish+Iranian_Jewish+Spanish_North @ 4.109302
39 Armenian+Armenian+Finnish+Spanish_North @ 4.109559
40 Assyrian+Basque+Finnish+Kurdish @ 4.111383

[Congolese Rice]

38.89% Near_Eastern
0.41% East_Asian
2.83% Siberian
0.29% Oceanian
22.69% WHG-UHG
0.00% Sub-Saharan
17.95% Hindu_Kush
16.69% Steppe
0.00% Amerindian
0.24% Southeast_Asian


well jup, all i can say is that you have definite strong iranian influence xD you score like more than 3x the hindu-kush i do.

[Congolese Rice]

my oracles:


4 Ancestors Oracle
Version 0.97 by Alexandr Burnashev

Data file is C:\Users\shaun\Documents\ORACLEforK6.txt
6 components mode.
Population data has been read. 138 populations found.
Personal data has been read. 20 approximations mode.
Person: InshallahMashallah
Threshold of components set to 0.67%


Least-squares method.

Using 1 population approximation:
1 Ust_Ishim @ 20.833622
2 GoyetQ116 @ 26.266582
3 Turkmen @ 30.704752
4 Uzbek @ 33.072244
5 Tajik @ 35.416921
6 Balkar @ 37.779997
7 Scythian_IA @ 38.80393
8 Turkish @ 39.022472
9 Moroccan @ 39.181422
10 Iranian_Bandari @ 39.323445
11 Kumyk @ 39.74611
12 Yemeni @ 39.834321
13 Pashtun_Afghan @ 39.962141
14 Kharia @ 40.413776
15 Bulgarian @ 40.453842
16 Algerian @ 40.701026
17 Hazara @ 40.893545
18 Uygur @ 40.953237
19 Adygei @ 40.975277
20 Armenia_ChL @ 41.163252
138 iterations.

Using 2 populations approximation:
1 Moroccan+Ust_Ishim @ 14.023662
2 Algerian+Ust_Ishim @ 14.635222
3 Kharia+Moroccan @ 14.821499
4 Algerian+Kharia @ 15.021546
5 Bulgarian+Ust_Ishim @ 15.078027
6 GoyetQ116+Ust_Ishim @ 15.399203
7 Romanian+Ust_Ishim @ 15.523765
8 Balkar+Ust_Ishim @ 15.73354
9 Turkish+Ust_Ishim @ 15.833985
10 Ust_Ishim+Yemeni @ 15.874636
11 Albanian+Ust_Ishim @ 15.931329
12 Greek+Ust_Ishim @ 15.945031
13 Jew_Ashkenazi+Ust_Ishim @ 16.035217
14 Sicilian+Ust_Ishim @ 16.079761
15 Turkmen+Ust_Ishim @ 16.095649
16 Croatian+Ust_Ishim @ 16.19117
17 Kharia+Saharawi @ 16.323398
18 Libyan+Ust_Ishim @ 16.371394
19 Hungarian+Ust_Ishim @ 16.387737
20 Spanish+Ust_Ishim @ 16.539182
9591 iterations.

Using 3 populations approximation:
1 50% GoyetQ116 +25% Kharia +25% Somali @ 5.055772
2 50% Ust_Ishim +25% Scythian_IA +25% Somali @ 5.508482
3 50% Ust_Ishim +25% Saharawi +25% Scythian_IA @ 5.83043
4 50% Ust_Ishim +25% Moroccan +25% Scythian_IA @ 5.879376
5 50% Ust_Ishim +25% Russian +25% Somali @ 6.231028
6 50% Ust_Ishim +25% Algerian +25% Scythian_IA @ 6.297207
7 50% Ust_Ishim +25% Finnish +25% Somali @ 6.62434
8 50% Kharia +25% Lithuanian +25% Somali @ 6.651187
9 50% Kharia +25% Basque +25% Masai @ 6.846684
10 50% Kharia +25% Europe_LNBA +25% Somali @ 6.874509
11 50% Kharia +25% Estonian +25% Somali @ 7.057
12 50% Ust_Ishim +25% MA1 +25% Saharawi @ 7.073803
13 50% Kharia +25% Icelandic +25% Somali @ 7.131765
14 50% Ust_Ishim +25% Somali +25% Steppe_MLBA @ 7.270288
15 50% Kharia +25% Basque +25% Somali @ 7.456764
16 50% Ust_Ishim +25% MA1 +25% Moroccan @ 7.599108
17 50% Kharia +25% Scottish +25% Somali @ 7.606137
18 50% Ust_Ishim +25% Estonian +25% Somali @ 7.619735
19 50% Ust_Ishim +25% Moroccan +25% Uzbek @ 7.620564
20 50% Kharia +25% English +25% Somali @ 7.620914
1263660 iterations.

Using 4 populations approximation:
1 Finnish+Kharia+Somali+Ust_Ishim @ 2.437263
2 Kharia+Lithuanian+Somali+Ust_Ishim @ 2.750147
3 Estonian+Kharia+Somali+Ust_Ishim @ 2.804715
4 Kharia+Russian+Somali+Ust_Ishim @ 2.815117
5 Europe_LNBA+Kharia+Somali+Ust_Ishim @ 3.120826
6 Icelandic+Kharia+Somali+Ust_Ishim @ 3.400495
7 Kharia+Norwegian+Somali+Ust_Ishim @ 3.704915
8 Kharia+Somali+Ukrainian+Ust_Ishim @ 3.829476
9 Kharia+Scottish+Somali+Ust_Ishim @ 3.941965
10 Czech+Kharia+Somali+Ust_Ishim @ 4.072103
11 GoyetQ116+Somali+Ust_Ishim+Uzbek @ 4.156311
12 English+Kharia+Somali+Ust_Ishim @ 4.210813
13 GoyetQ116+Somali+Turkmen+Ust_Ishim @ 4.66629
14 Hungarian+Kharia+Somali+Ust_Ishim @ 4.791847
15 Kharia+Somali+Steppe_MLBA+Ust_Ishim @ 4.908742
16 GoyetQ116+GoyetQ116+Kharia+Somali @ 5.055772
17 French+Kharia+Somali+Ust_Ishim @ 5.16892
18 GoyetQ116+Hazara+Somali+Ust_Ishim @ 5.377114
19 GoyetQ116+Somali+Ust_Ishim+Uygur @ 5.492984
20 Scythian_IA+Somali+Ust_Ishim+Ust_Ishim @ 5.508482
21 Croatian+Kharia+Somali+Ust_Ishim @ 5.656484
22 GoyetQ116+Kharia+Somali+Turkmen @ 5.779081
23 Saharawi+Scythian_IA+Ust_Ishim+Ust_Ishim @ 5.83043
24 GoyetQ116+Paniyas+Somali+Uzbek @ 5.865328
25 Moroccan+Scythian_IA+Ust_Ishim+Ust_Ishim @ 5.879376
26 Basque+Kharia+Somali+Ust_Ishim @ 5.994344
27 Basque+Clovis+Masai+Paniyas @ 6.094943
28 Russian+Somali+Ust_Ishim+Ust_Ishim @ 6.231028
29 GoyetQ116+Kharia+Somali+Uzbek @ 6.292422
30 Algerian+Scythian_IA+Ust_Ishim+Ust_Ishim @ 6.297207
31 Europe_LNBA+Kusunda+Somali+Ust_Ishim @ 6.304646
32 GoyetQ116+Kharia+Scythian_IA+Somali @ 6.310815
33 Icelandic+Kharia+Masai+Ust_Ishim @ 6.311314
34 Czech+Kharia+Masai+Ust_Ishim @ 6.32317
35 English+Kharia+Masai+Ust_Ishim @ 6.328231
36 Kharia+Masai+Scottish+Ust_Ishim @ 6.348988
37 Icelandic+Kusunda+Somali+Ust_Ishim @ 6.383459
38 Kusunda+Somali+Steppe_MLBA+Ust_Ishim @ 6.395921
39 Kharia+Masai+Norwegian+Ust_Ishim @ 6.411107
40 Kusunda+Lithuanian+Somali+Ust_Ishim @ 6.47421
13302324 iterations.


Gaussian method.
Noise dispersion set to 0.93416

Using 1 population approximation:
1 Ust_Ishim @ 20.882955
2 GoyetQ116 @ 26.550156
3 Iranian_Bandari @ 42.708123
4 Baloch_Iran @ 54.930283
5 Makrani @ 56.31664
6 Iranian @ 60.6512
7 Iran_Shirazi @ 61.10029
8 Brahui @ 61.770358
9 Yemeni @ 63.570253
10 Balochi @ 65.585494
11 Kurd_C @ 66.779132
12 Jordanian @ 67.919272
13 Lebanese @ 68.378255
14 Syrian @ 69.041925
15 Libyan @ 69.046321
16 Uzbek @ 72.575641
17 Iran_recent @ 72.666645
18 Algerian @ 73.669314
19 Iran_Lori @ 74.03608
20 Sindhi @ 75.784126
138 iterations.

Using 2 populations approximation:
1 Algerian+Ust_Ishim @ 14.55453
2 Moroccan+Ust_Ishim @ 14.663288
3 GoyetQ116+Ust_Ishim @ 16.126737
4 Saharawi+Ust_Ishim @ 17.169747
5 Libyan+Ust_Ishim @ 17.376145
6 Iranian_Bandari+Ust_Ishim @ 17.706978
7 Jew_Libyan+Ust_Ishim @ 17.934796
8 Jew_Moroccan+Ust_Ishim @ 18.109303
9 Egyptian+Ust_Ishim @ 18.110662
10 Jew_Ashkenazi+Ust_Ishim @ 18.263113
11 Jordanian+Ust_Ishim @ 18.331811
12 Syrian+Ust_Ishim @ 18.417538
13 Jew_Tunisian+Ust_Ishim @ 18.468621
14 Sicilian+Ust_Ishim @ 18.645648
15 BedouinA+Ust_Ishim @ 18.733012
16 Turkish+Ust_Ishim @ 19.118378
17 Bulgarian+Ust_Ishim @ 19.140041
18 Ust_Ishim+Yemeni @ 19.198876
19 Spanish+Ust_Ishim @ 19.285942
20 Balkar+Ust_Ishim @ 19.288166
9591 iterations.

Using 3 populations approximation:
1 50% GoyetQ116 +25% Kharia +25% Somali @ 6.04388
2 50% Ust_Ishim +25% Scythian_IA +25% Somali @ 6.327203
3 50% Ust_Ishim +25% Saharawi +25% Scythian_IA @ 6.909153
4 50% Ust_Ishim +25% Moroccan +25% Scythian_IA @ 6.954863
5 50% Ust_Ishim +25% Russian +25% Somali @ 7.303554
6 50% Kharia +25% Lithuanian +25% Somali @ 7.368637
7 50% Ust_Ishim +25% Algerian +25% Scythian_IA @ 7.473468
8 50% Kharia +25% Europe_LNBA +25% Somali @ 7.640163
9 50% Ust_Ishim +25% Finnish +25% Somali @ 7.733039
10 50% Kharia +25% Estonian +25% Somali @ 7.795914
11 50% Kharia +25% Icelandic +25% Somali @ 7.951821
12 50% Ust_Ishim +25% MA1 +25% Saharawi @ 8.205038
13 50% Kharia +25% Norwegian +25% Somali @ 8.522438
14 50% Kharia +25% Basque +25% Masai @ 8.526864
15 50% Kharia +25% Finnish +25% Somali @ 8.596562
16 50% Kharia +25% Scottish +25% Somali @ 8.627853
17 50% Ust_Ishim +25% MA1 +25% Moroccan @ 8.649022
18 50% GoyetQ116 +25% Kharia +25% Masai @ 8.660159
19 50% Kharia +25% English +25% Somali @ 8.720745
20 50% Ust_Ishim +25% Algerian +25% MA1 @ 8.794889
1313967 iterations.

Using 4 populations approximation:
1 Finnish+Kharia+Somali+Ust_Ishim @ 3.34907
2 Kharia+Russian+Somali+Ust_Ishim @ 3.735673
3 Kharia+Lithuanian+Somali+Ust_Ishim @ 3.738843
4 Estonian+Kharia+Somali+Ust_Ishim @ 3.758856
5 Europe_LNBA+Kharia+Somali+Ust_Ishim @ 4.114985
6 Icelandic+Kharia+Somali+Ust_Ishim @ 4.395376
7 Kharia+Norwegian+Somali+Ust_Ishim @ 4.688633
8 Kharia+Somali+Ukrainian+Ust_Ishim @ 4.808514
9 Kharia+Scottish+Somali+Ust_Ishim @ 4.936924
10 Czech+Kharia+Somali+Ust_Ishim @ 5.06859
11 GoyetQ116+Somali+Ust_Ishim+Uzbek @ 5.094412
12 English+Kharia+Somali+Ust_Ishim @ 5.209172
13 GoyetQ116+Somali+Turkmen+Ust_Ishim @ 5.520351
14 Kharia+Somali+Steppe_MLBA+Ust_Ishim @ 5.747424
15 Hungarian+Kharia+Somali+Ust_Ishim @ 5.836282
16 GoyetQ116+GoyetQ116+Kharia+Somali @ 6.04388
17 GoyetQ116+Hazara+Somali+Ust_Ishim @ 6.15843
18 French+Kharia+Somali+Ust_Ishim @ 6.182007
19 GoyetQ116+Somali+Ust_Ishim+Uygur @ 6.289487
20 Scythian_IA+Somali+Ust_Ishim+Ust_Ishim @ 6.327203
21 GoyetQ116+Paniyas+Somali+Uzbek @ 6.517947
22 GoyetQ116+Kharia+Somali+Turkmen @ 6.695312
23 Croatian+Kharia+Somali+Ust_Ishim @ 6.760864
24 Basque+Kharia+Somali+Ust_Ishim @ 6.767804
25 Saharawi+Scythian_IA+Ust_Ishim+Ust_Ishim @ 6.909153
26 English+Kharia+Masai+Ust_Ishim @ 6.945243
27 Icelandic+Kharia+Masai+Ust_Ishim @ 6.946958
28 Czech+Kharia+Masai+Ust_Ishim @ 6.947222
29 Moroccan+Scythian_IA+Ust_Ishim+Ust_Ishim @ 6.954863
30 Kharia+Masai+Scottish+Ust_Ishim @ 6.972237
31 Europe_LNBA+Kusunda+Somali+Ust_Ishim @ 7.00319
32 GoyetQ116+Kharia+Scythian_IA+Somali @ 7.01309
33 Kharia+Masai+Norwegian+Ust_Ishim @ 7.047387
34 GoyetQ116+Kharia+Somali+Uzbek @ 7.048682
35 Kusunda+Somali+Steppe_MLBA+Ust_Ishim @ 7.079374
36 Icelandic+Kusunda+Somali+Ust_Ishim @ 7.106426
37 Estonian+Kusunda+Somali+Ust_Ishim @ 7.147252
38 Europe_LNBA+Kharia+Masai+Ust_Ishim @ 7.153108
39 Kusunda+Lithuanian+Somali+Ust_Ishim @ 7.161211
40 Kharia+Masai+Ukrainian+Ust_Ishim @ 7.168269
15777195 iterations.


^ quite weird, alot of ancient populations in contrast 2 you XD

[DaiViet]

0.13% Near_Eastern
42.17% East_Asian
0.35% Siberian
2.15% Oceanian
0.29% WHG-UHG
0.00% Sub-Saharan
1.11% Hindu_Kush
0.00% Steppe
0.03% Amerindian
53.77% Southeast_Asian

I'm not Steppe.

[Congolese Rice]

0.13% Near_Eastern
42.17% East_Asian
0.35% Siberian
2.15% Oceanian
0.29% WHG-UHG
0.00% Sub-Saharan
1.11% Hindu_Kush
0.00% Steppe
0.03% Amerindian
53.77% Southeast_Asian

I'm not Steppe.

Nope, not at all XD


you have 0.13% near eastern though, welcome to the arabi gang XDDD nice results

[Thambi]

3.08% Near_Eastern
6.16% East_Asian
0.02% Siberian
6.71% Oceanian
5.20% WHG-UHG
1.85% Sub-Saharan
62.89% Hindu_Kush
0.01% Steppe
0.99% Amerindian
13.09% Southeast_Asian

Least-squares method.

Using 1 population approximation:
1 Burusho @ 12.645184
2 GujaratiA @ 12.860832
3 Pathan @ 15.580343
4 Balochi @ 18.296405
5 Brahui @ 18.680517
6 Kalash @ 20.008609
7 Afghan_Pashtun @ 25.959042
8 Afghan_Uzbeki @ 32.637965
9 Tajik_Pomiri @ 33.001622
10 Afghan_Tadjik @ 33.508292
11 Tadjik @ 36.753621
12 Ust_Ishim @ 40.859178
13 Kostenki14 @ 46.863042
14 Turkmen @ 47.627592
15 Afghan_Turkmen @ 48.684793
16 Uzbek @ 50.531124
17 Iranian @ 50.748831
18 Uygur @ 53.585781
19 Kurdish @ 55.418166
20 Lezgin @ 57.171535
180 iterations.

Using 2 populations approximation:
1 Burusho+GujaratiA @ 11.542547
2 Burusho+Burusho @ 12.645184
3 GujaratiA+GujaratiA @ 12.860832
4 Burusho+Pathan @ 13.02023
5 Brahui+Burusho @ 13.226948
6 Balochi+Burusho @ 13.23084
7 GujaratiA+Pathan @ 13.247582
8 Balochi+GujaratiA @ 13.763446
9 Brahui+GujaratiA @ 13.933573
10 Burusho+Kalash @ 14.887402
11 Kalash+Pathan @ 15.556461
12 Pathan+Pathan @ 15.580343
13 GujaratiA+Kalash @ 15.788627
14 Brahui+Pathan @ 15.815565
15 Balochi+Pathan @ 15.950289
16 Afghan_Pashtun+GujaratiA @ 16.437026
17 Afghan_Pashtun+Kalash @ 16.617821
18 Kalash+Ust_Ishim @ 16.739644
19 Balochi+Kalash @ 17.09008
20 Afghan_Pashtun+Burusho @ 17.279356
16290 iterations.

Using 3 populations approximation:
1 50% Kalash +25% Brahui +25% Thai @ 9.681141
2 50% Kalash +25% Balochi +25% Thai @ 10.048643
3 50% Kalash +25% Brahui +25% Cambodian @ 10.148957
4 50% Kalash +25% Balochi +25% Cambodian @ 10.492402
5 50% Brahui +25% Kalash +25% Thai @ 10.529189
6 50% Kalash +25% Kalash +25% Thai @ 10.531972
7 50% Kalash +25% Brahui +25% Malay @ 10.587499
8 50% Kalash +25% Balochi +25% Malay @ 10.896551
9 50% Kalash +25% Cambodian +25% Kalash @ 10.942552
10 50% Brahui +25% Cambodian +25% Kalash @ 10.981825
11 50% Kalash +25% Brahui +25% Ust_Ishim @ 11.193152
12 50% Kalash +25% Balochi +25% Ust_Ishim @ 11.284936
13 50% Kalash +25% Kalash +25% Malay @ 11.289487
14 50% Balochi +25% Kalash +25% Thai @ 11.347613
15 50% Brahui +25% Kalash +25% Malay @ 11.448801
16 50% Kalash +25% Burusho +25% Ust_Ishim @ 11.520809
17 50% Burusho +25% GujaratiA +25% GujaratiA @ 11.542547
18 50% Brahui +25% Kalash +25% Ust_Ishim @ 11.545722
19 50% Kalash +25% GujaratiA +25% Thai @ 11.598803
20 50% Kalash +25% Brahui +25% Burmese @ 11.749811
2071545 iterations.

Using 4 populations approximation:
1 Brahui+Kalash+Kalash+Thai @ 9.681141
2 Balochi+Kalash+Kalash+Thai @ 10.048643
3 Brahui+Cambodian+Kalash+Kalash @ 10.148957
4 Balochi+Cambodian+Kalash+Kalash @ 10.492402
5 Brahui+Brahui+Kalash+Thai @ 10.529189
6 Kalash+Kalash+Kalash+Thai @ 10.531972
7 Brahui+Kalash+Kalash+Malay @ 10.587499
8 Brahui+Burusho+Kalash+Ust_Ishim @ 10.877944
9 Balochi+Kalash+Kalash+Malay @ 10.896551
10 Balochi+Brahui+Kalash+Thai @ 10.928576
11 Cambodian+Kalash+Kalash+Kalash @ 10.942552
12 Brahui+Brahui+Cambodian+Kalash @ 10.981825
13 Balochi+Burusho+Kalash+Ust_Ishim @ 11.130834
14 Brahui+GujaratiA+Kalash+Ust_Ishim @ 11.148915
15 Brahui+Kalash+Kalash+Ust_Ishim @ 11.193152
16 Brahui+GujaratiA+Kalash+Thai @ 11.275713
17 Balochi+Kalash+Kalash+Ust_Ishim @ 11.284936
18 Kalash+Kalash+Kalash+Malay @ 11.289487
19 Balochi+GujaratiA+Kalash+Ust_Ishim @ 11.342855
20 Balochi+Balochi+Kalash+Thai @ 11.347613
21 Balochi+Brahui+Cambodian+Kalash @ 11.358207
22 Brahui+Brahui+Kalash+Malay @ 11.448801
23 Burusho+Kalash+Kalash+Ust_Ishim @ 11.520809
24 Brahui+Burusho+GujaratiA+Ust_Ishim @ 11.532829
25 Burusho+Burusho+GujaratiA+GujaratiA @ 11.542547
26 Brahui+Brahui+Kalash+Ust_Ishim @ 11.545722
27 GujaratiA+Kalash+Kalash+Thai @ 11.598803
28 Balochi+Brahui+Kalash+Ust_Ishim @ 11.691281
29 Balochi+GujaratiA+Kalash+Thai @ 11.691507
30 Burusho+GujaratiA+Kalash+Ust_Ishim @ 11.730223
31 Brahui+Burmese+Kalash+Kalash @ 11.749811
32 Balochi+Balochi+Cambodian+Kalash @ 11.755077
33 Brahui+Brahui+Burusho+Ust_Ishim @ 11.758722
34 Brahui+Burusho+Burusho+GujaratiA @ 11.761465
35 Balochi+Burusho+Burusho+GujaratiA @ 11.789018
36 Balochi+Brahui+Kalash+Malay @ 11.791266
37 Burusho+Burusho+Burusho+GujaratiA @ 11.798747
38 Brahui+GujaratiA+GujaratiA+Ust_Ishim @ 11.836635
39 Brahui+Burusho+Burusho+Ust_Ishim @ 11.858186
40 GujaratiA+Kalash+Kalash+Ust_Ishim @ 11.866386
19394544 iterations.


Gaussian method.
Noise dispersion set to 0.520249

Using 1 population approximation:
1 Burusho @ 12.606958
2 Pathan @ 14.257645
3 Balochi @ 17.120397
4 Afghan_Pashtun @ 17.421096
5 Brahui @ 17.630012
6 Ust_Ishim @ 18.584879
7 Kalash @ 18.944203
8 Afghan_Tadjik @ 19.051489
9 GujaratiA @ 19.926691
10 Afghan_Uzbeki @ 20.126042
11 Tadjik @ 24.139387
12 Turkmen @ 26.621306
13 Uygur @ 26.930802
14 Kostenki14 @ 27.647699
15 Uzbek @ 27.65348
16 Iranian @ 27.868041
17 Tajik_Pomiri @ 29.590288
18 Afghan_Turkmen @ 33.588829
19 Kumyk @ 34.525964
20 Nogai @ 35.204743
180 iterations.

Using 2 populations approximation:
1 Kalash+Ust_Ishim @ 10.616092
2 Brahui+Ust_Ishim @ 11.180997
3 Burusho+GujaratiA @ 11.260126
4 Balochi+Ust_Ishim @ 11.533335
5 Burusho+Ust_Ishim @ 11.610553
6 GujaratiA+Ust_Ishim @ 11.920818
7 Pathan+Ust_Ishim @ 12.558565
8 Burusho+Burusho @ 12.606958
9 Brahui+Burusho @ 12.810965
10 Burusho+Pathan @ 12.889378
11 Balochi+Burusho @ 13.009804
12 Brahui+Malay @ 13.508232
13 Afghan_Tadjik+GujaratiA @ 13.544365
14 Burusho+Kostenki14 @ 13.644732
15 Brahui+Thai @ 13.768366
16 Brahui+Cambodian @ 13.793051
17 Afghan_Pashtun+GujaratiA @ 13.804039
18 Brahui+Burmese @ 13.880267
19 GujaratiA+Pathan @ 13.911527
20 Afghan_Uzbeki+GujaratiA @ 13.986245
16290 iterations.

Using 3 populations approximation:
1 50% Brahui +25% Kalash +25% Malay @ 8.854317
2 50% Kalash +25% Brahui +25% Malay @ 8.920639
3 50% Brahui +25% Brahui +25% Malay @ 9.131742
4 50% Kalash +25% Balochi +25% Malay @ 9.150734
5 50% Brahui +25% GujaratiA +25% Malay @ 9.181224
6 50% Brahui +25% Cambodian +25% GujaratiA @ 9.248046
7 50% Brahui +25% Cambodian +25% Kalash @ 9.257956
8 50% Brahui +25% Burusho +25% Malay @ 9.261202
9 50% Balochi +25% Kalash +25% Malay @ 9.307789
10 50% Brahui +25% GujaratiA +25% Thai @ 9.331556
11 50% Brahui +25% Balochi +25% Malay @ 9.378674
12 50% Brahui +25% Brahui +25% Cambodian @ 9.427879
13 50% Kalash +25% Brahui +25% Cambodian @ 9.440709
14 50% Brahui +25% Kalash +25% Thai @ 9.522286
15 50% Burusho +25% GujaratiA +25% Ust_Ishim @ 9.529001
16 50% GujaratiA +25% Brahui +25% Cambodian @ 9.54901
17 50% GujaratiA +25% Burusho +25% Ust_Ishim @ 9.551313
18 50% Burusho +25% Kalash +25% Ust_Ishim @ 9.556519
19 50% Burusho +25% Brahui +25% Ust_Ishim @ 9.570603
20 50% GujaratiA +25% Brahui +25% Thai @ 9.577343
2915910 iterations.

Using 4 populations approximation:
1 Brahui+Brahui+Kalash+Malay @ 8.854317
2 Brahui+Kalash+Kalash+Malay @ 8.920639
3 Balochi+Brahui+Kalash+Malay @ 9.0878
4 Brahui+GujaratiA+Kalash+Malay @ 9.119414
5 Brahui+Brahui+Brahui+Malay @ 9.131742
6 Balochi+Kalash+Kalash+Malay @ 9.150734
7 Brahui+Brahui+GujaratiA+Malay @ 9.181224
8 Brahui+Burusho+Kalash+Malay @ 9.224271
9 Brahui+Brahui+Cambodian+GujaratiA @ 9.248046
10 Brahui+Brahui+Cambodian+Kalash @ 9.257956
11 Brahui+Brahui+Burusho+Malay @ 9.261202
12 Brahui+Cambodian+GujaratiA+Kalash @ 9.288444
13 Balochi+Balochi+Kalash+Malay @ 9.307789
14 Brahui+Brahui+GujaratiA+Thai @ 9.331556
15 Balochi+GujaratiA+Kalash+Malay @ 9.339571
16 Balochi+Brahui+Brahui+Malay @ 9.378674
17 Burusho+GujaratiA+Kalash+Ust_Ishim @ 9.396966
18 Balochi+Brahui+GujaratiA+Malay @ 9.399143
19 Brahui+Brahui+Brahui+Cambodian @ 9.427879
20 Brahui+Cambodian+Kalash+Kalash @ 9.440709
21 Brahui+GujaratiA+Kalash+Thai @ 9.44115
22 Brahui+Burusho+GujaratiA+Ust_Ishim @ 9.454067
23 Brahui+Burusho+Kalash+Ust_Ishim @ 9.455669
24 Balochi+Burusho+Kalash+Malay @ 9.459687
25 Balochi+Brahui+Cambodian+GujaratiA @ 9.484008
26 Balochi+Brahui+Burusho+Malay @ 9.497075
27 Balochi+Brahui+Cambodian+Kalash @ 9.501896
28 Brahui+Brahui+Kalash+Thai @ 9.522286
29 Balochi+Cambodian+GujaratiA+Kalash @ 9.525872
30 Burusho+Burusho+GujaratiA+Ust_Ishim @ 9.529001
31 Brahui+Cambodian+GujaratiA+GujaratiA @ 9.54901
32 Burusho+GujaratiA+GujaratiA+Ust_Ishim @ 9.551313
33 Brahui+Burusho+GujaratiA+Malay @ 9.554762
34 Burusho+Burusho+Kalash+Ust_Ishim @ 9.556519
35 Brahui+Burusho+Burusho+Ust_Ishim @ 9.570603
36 Balochi+Brahui+GujaratiA+Thai @ 9.572877
37 Brahui+GujaratiA+GujaratiA+Thai @ 9.577343
38 Burusho+Kalash+Kalash+Ust_Ishim @ 9.593981
39 Balochi+Burusho+Kalash+Ust_Ishim @ 9.595357
40 Balochi+Burusho+GujaratiA+Ust_Ishim @ 9.598683
45212895 iterations.

[Congolese Rice]

3.08% Near_Eastern
6.16% East_Asian
0.02% Siberian
6.71% Oceanian
5.20% WHG-UHG
1.85% Sub-Saharan
62.89% Hindu_Kush
0.01% Steppe
0.99% Amerindian
13.09% Southeast_Asian

Least-squares method.

Using 1 population approximation:
1 Burusho @ 12.645184
2 GujaratiA @ 12.860832
3 Pathan @ 15.580343
4 Balochi @ 18.296405
5 Brahui @ 18.680517
6 Kalash @ 20.008609
7 Afghan_Pashtun @ 25.959042
8 Afghan_Uzbeki @ 32.637965
9 Tajik_Pomiri @ 33.001622
10 Afghan_Tadjik @ 33.508292
11 Tadjik @ 36.753621
12 Ust_Ishim @ 40.859178
13 Kostenki14 @ 46.863042
14 Turkmen @ 47.627592
15 Afghan_Turkmen @ 48.684793
16 Uzbek @ 50.531124
17 Iranian @ 50.748831
18 Uygur @ 53.585781
19 Kurdish @ 55.418166
20 Lezgin @ 57.171535
180 iterations.


Nice results bro! looks like theres alot of brahui and balochi influence there XD

[Kriptc06]

nice my fren

do you have any known arab ancestry in both genealogy and or test results? for you it could very likely be part med and part lebanese perhaps XD ALOT of lebanese went to brazil, like 5 million or so.

zero, everything is likely neolithic, I could have however, sefaradi ancestry :) and aye, we do have many syrian-lebanese that came after world war 1, from the decaying ottoman empire. My ex btw was half allahuakbar lol

[Aren]

zero, everything is likely neolithic, I could have however, sefaradi ancestry :) and aye, we do have many syrian-lebanese that came after world war 1, from the decaying ottoman empire. My ex btw was half allahuakbar lol

Indeed it's mainly Neolithic farmer in Europeans. Which is where Yemeniboii got his Near Eastern from aswell(Dutch side).

[Hadouken]

Using 3 populations approximation:
1 50% Kurdish +25% Basque +25% Russian_Kargopol @ 1.5815

Using 4 populations approximation:
1 Basque+Kurdish+Kurdish+Russian_Kargopol @ 1.5815



https://i.kym-cdn.com/entries/icons/original/000/013/723/mah-nigga.jpg

[Congolese Rice]

zero, everything is likely neolithic, I could have however, sefaradi ancestry :) and aye, we do have many syrian-lebanese that came after world war 1, from the decaying ottoman empire. My ex btw was half allahuakbar lol

Hahahha XD well yeah, since you probably have a good amount of italian and or spanish ancestry for you its probably neolithic yeah

[Congolese Rice]

Indeed it's mainly Neolithic farmer in Europeans. Which is where Yemeniboii got his Near Eastern from aswell(Dutch side).

XD is this guy a european? no, he's brazilian. so for him its mediterranean.


and lol, yknow your trolling attempts are really sad. ill just have you know XD

[Congolese Rice]

https://i.kym-cdn.com/entries/icons/original/000/013/723/mah-nigga.jpg

yo nigga too? :(


2 50% Ust_Ishim +25% Scythian_IA +25% Somali @ 6.327203
3 50% Ust_Ishim +25% Saharawi +25% Scythian_IA @ 6.909153
4 50% Ust_Ishim +25% Moroccan +25% Scythian_IA @ 6.954863

[Hadouken]

yo nigga too? :(


2 50% Ust_Ishim +25% Scythian_IA +25% Somali @ 6.327203
3 50% Ust_Ishim +25% Saharawi +25% Scythian_IA @ 6.909153
4 50% Ust_Ishim +25% Moroccan +25% Scythian_IA @ 6.954863

lol no

[Aren]

XD is this guy a european? no, he's brazilian. so for him its mediterranean.


and lol, yknow your trolling attempts are really sad. ill just have you know XD

How fucked up are you really?

This is what an ethnic English fella scores. Dutch score only slightly less.

32.52% Near_Eastern
0.19% East_Asian
0.13% Siberian
0.00% Oceanian
38.37% WHG-UHG
0.46% Sub-Saharan
4.23% Hindu_Kush
23.34% Steppe
0.76% Amerindian
0.00% Southeast_Asian

See? Even more Near Eastern than you, now how the fuck would you be partly MENA when you score lower Near Eastern than even Northern Euros? I would invite him over for a Kebab or Falafel but not you.

[Congolese Rice]

lol no

sadlyfe my fren..


aint scythians dem ancient indo-european ancestors though? XD just wondering

[Pahli]

sadlyfe my fren..


aint scythians dem ancient indo-european ancestors though? XD just wondering

Yeah, they're all gone now

[Congolese Rice]

How fucked up are you really?

This is what an ethnic English fella scores. Dutch score only slightly less.

32.52% Near_Eastern
0.19% East_Asian
0.13% Siberian
0.00% Oceanian
38.37% WHG-UHG
0.46% Sub-Saharan
4.23% Hindu_Kush
23.34% Steppe
0.76% Amerindian
0.00% Southeast_Asian

See? Even more Near Eastern than you, now how the fuck would you be partly MENA when you score lower Near Eastern than even Northern Euros? I would invite him over for a Kebab or Falafel but not you.

once again lol u cant compare european results to a triracial person results. its not the same thing XD and sure do your thing.

and as you can see, they score a good amount more steppe/WHG than i do, im clearly just a half european. i dont see what your trying to proof my friend xD i have proof that i have mideast influences so in my case it could be many other MENA population apart from neolithic or mediterranean. sure, there's probably 4-5% neolithic in there i agree, most likely.

[Congolese Rice]

Yeah, they're all gone now

sadlyfe my fren. guess i'll have to stick to the 1/4 moroccan result :(


my results on this calc are quite weird though. i have tons of ancient pops like ust-ishim, scythian, and tons of other shit that doesnt make sense. all that catches my eye is some modern european pops and arabian/maghrebi pops, with maybe some iranian pops in there XD its weird

[Aren]

once again lol u cant compare european results to a triracial person results. its not the same thing XD and sure do your thing.

and as you can see, they score a good amount more steppe/WHG than i do, im clearly just a half european. i dont see what your trying to proof my friend xD i have proof that i have mideast influences so in my case it could be many other MENA population apart from neolithic or mediterranean. sure, there's probably 4-5% neolithic in there i agree, most likely.

xD xD
If we take the Near Eastern of the English guy and multiply it with 0.7 then we get surprise, surpise 22.78, almost exactly what you score. So you being 70% Northern Euro fits pretty well. Your Hindu-Kush is also from Europeans, they score as you can see also around 4-5%. If you were half Dutch/Northern Euro you would score half amount of Steppe and WHG as this English guy, but you don't you score more than half of what he does.
MENA:ites score much much more Near Eastern than Northern Euros so if you were 25% MENA you would not only score 22%! How is it difficult for you to understand?

[Congolese Rice]

xD xD
If we take the Near Eastern of the English guy and multiply it with 0.7 then we get surprise, surpise 22.78, almost exactly what you score. So you being 70% Northern Euro fits pretty well. Your Hindu-Kush is also from Europeans, they score as you can see also around 4-5%. If you were half Dutch/Northern Euro you would score half amount of Steppe and WHG as this English guy, but you don't you score more than half of what he does.
MENA:ites score much much more Near Eastern than Northern Euros so if you were 25% MENA you would not only score 22%! How is it difficult for you to understand?

XD

[Congolese Rice]

anyone else willing 2 share their results on this calc? would be interesting 2 see what everybody scores

[Pahli]

My results:

44.37% Near_Eastern
2.17% East_Asian
0.00% Siberian
0.42% Oceanian
5.22% WHG-UHG
0.47% Sub-Saharan
34.81% Hindu_Kush
12.48% Steppe
0.00% Amerindian
0.05% Southeast_Asian

[Congolese Rice]

My results:

44.37% Near_Eastern
2.17% East_Asian
0.00% Siberian
0.42% Oceanian
5.22% WHG-UHG
0.47% Sub-Saharan
34.81% Hindu_Kush
12.48% Steppe
0.00% Amerindian
0.05% Southeast_Asian

nice bro XD you score a whole lot of hindu-kush. is it like a balochi based component? or balochi/south asian?

[Pahli]

nice bro XD you score a whole lot of hindu-kush. is it like a balochi based component? or balochi/south asian?

Its some kind of Balochi / Brahui component, yeah

[Congolese Rice]

Its some kind of Balochi / Brahui component, yeah

lmao seems fair that iranians score a good amount of it. if im not mistaken most iranians also have a good bit of south asian ancestry right? like 6-10% or so?

[Pahli]

lmao seems fair that iranians score a good amount of it. if im not mistaken most iranians also have a good bit of south asian ancestry right? like 6-10% or so?

I'm Kurd from Iran, so I score less of that but I'm still close to Iranians, other Kurds and Azeris

[Aren]

anyone else willing 2 share their results on this calc? would be interesting 2 see what everybody scores

This one will make your day.

Half Northern Euro(Scandinavian and Scottish), and the other half mainly Northern African

43.83% Near_Eastern
0.01% East_Asian
0.19% Siberian
0.66% Oceanian
25.71% WHG-UHG
7.56% Sub-Saharan
5.52% Hindu_Kush
14.86% Steppe
1.25% Amerindian
0.42% Southeast_Asian

Using 2 populations approximation:
1 Orcadian+Tunisian @ 3.431047
2 Czech+Tunisian @ 3.467597
3 Scottish+Tunisian @ 3.558784
4 Icelandic+Tunisian @ 3.639848
5 Tunisian+Utah_German @ 3.702785
6 Norwegian+Tunisian @ 3.718988
7 Tunisian+Utah_Scandinavian @ 3.757185
8 Alberstedt_LN+Tunisian @ 3.936294
9 Tunisian+Utah_British @ 3.946448
10 Tunisian+Utah_USA @ 4.095304
11 English+Tunisian @ 4.09782
12 Tunisian+Ukrainian_Lviv @ 4.099462
13 Tunisian+Ukrainian_Poltava @ 4.14178
14 Egyptian+Icelandic @ 4.367269
15 Egyptian+Utah_Scandinavian @ 4.43423
16 Halberstadt_LBA+Tunisian @ 4.468929
17 Hungarian+Tunisian @ 4.544291
18 Egyptian+Norwegian @ 4.635236
19 Tunisian+Ukrainian_Kharkov @ 4.708945
20 Tunisian+Ukrainian_Belgorod @ 4.757688
16290 iterations.

So if you are both only half Northern Euro why does he score 15% less Steppe + WHG? HOW?

[Congolese Rice]

This one will make your day.

Half Northern Euro(Scandinavian and Scottish), and the other half mainly Northern African

43.83% Near_Eastern
0.01% East_Asian
0.19% Siberian
0.66% Oceanian
25.71% WHG-UHG
7.56% Sub-Saharan
5.52% Hindu_Kush
14.86% Steppe
1.25% Amerindian
0.42% Southeast_Asian

Using 2 populations approximation:
1 Orcadian+Tunisian @ 3.431047
2 Czech+Tunisian @ 3.467597
3 Scottish+Tunisian @ 3.558784
4 Icelandic+Tunisian @ 3.639848
5 Tunisian+Utah_German @ 3.702785
6 Norwegian+Tunisian @ 3.718988
7 Tunisian+Utah_Scandinavian @ 3.757185
8 Alberstedt_LN+Tunisian @ 3.936294
9 Tunisian+Utah_British @ 3.946448
10 Tunisian+Utah_USA @ 4.095304
11 English+Tunisian @ 4.09782
12 Tunisian+Ukrainian_Lviv @ 4.099462
13 Tunisian+Ukrainian_Poltava @ 4.14178
14 Egyptian+Icelandic @ 4.367269
15 Egyptian+Utah_Scandinavian @ 4.43423
16 Halberstadt_LBA+Tunisian @ 4.468929
17 Hungarian+Tunisian @ 4.544291
18 Egyptian+Norwegian @ 4.635236
19 Tunisian+Ukrainian_Kharkov @ 4.708945
20 Tunisian+Ukrainian_Belgorod @ 4.757688
16290 iterations.

So if you are both only half Northern Euro why does he score 15% less Steppe + WHG? HOW?

"17.76% Steppe "


?


because moroccans also have european ancestry, and some gets sucked in the near eastern component, like maybe 4-8% or so


like i said some european of mine also gets sucked into the near eastern component

[Congolese Rice]

"17.76% Steppe "


?


because moroccans also have european ancestry, and some gets sucked in the near eastern component, like maybe 4-8% or so


like i said some european of mine also gets sucked into the near eastern component



https://www.youtube.com/watch?v=52poF8rJatc


^ skip to 4:04 min. manigga you just played yourself XD



https://www.youtube.com/watch?v=RGr7D681aYI


^ exdeeeeee

[Hadouken]

46.81% Near_Eastern
1.79% East_Asian
0.72% Siberian
0.00% Oceanian
3.29% WHG-UHG
0.78% Sub-Saharan
30.84% Hindu_Kush
13.40% Steppe
1.27% Amerindian
1.10% Southeast_Asian

[Aren]

https://www.youtube.com/watch?v=52poF8rJatc


^ skip to 4:04 min. manigga you just played yourself XD

You are not making any sense. Your non-European, which is SSA is even more removed from Europeans than his non Euro, yet you score more WHG and Steppe than him. How does that make any sense to you?

[Congolese Rice]

You are not making any sense. Your non-European, which is SSA part is even more removed from Europeans than his non Euro, yet you score more WHG and Steppe than him. How does that make any sense to you?

because i score european from my mom's side, and my dad's side. which means i should roughly be 51-55% european. makes a whole lot of sense. a good chunk of this berber's dna is probably italian or iberian and gets sucked in with the near eastern component.

as seen with the brazilian, his med gets sucked into the near eastern.


and thats because i am more NW euro than he is. pretty obvious i think. maghrebis are in general only roughly <68% north african, he's not literally half north african i hope you realize XD


my near eastern is purely middle eastern with some minor neolithic component. but hey, atleast you tried yknow XD ill give you a A+ for the effort and determination my fren <3

[Congolese Rice]

46.81% Near_Eastern
1.79% East_Asian
0.72% Siberian
0.00% Oceanian
3.29% WHG-UHG
0.78% Sub-Saharan
30.84% Hindu_Kush
13.40% Steppe
1.27% Amerindian
1.10% Southeast_Asian

Nice results bro XD you have the same case as Pahli in which you score alot of Hindi Kush, pretty cool tbh. its always interesting seeing other ppl their results on this test, i find it a very cool test. only the natufian and iran neo components are kinda confusing in my case xD

[lameduck]

46.81% Near_Eastern
1.79% East_Asian
0.72% Siberian
0.00% Oceanian
3.29% WHG-UHG
0.78% Sub-Saharan
30.84% Hindu_Kush
13.40% Steppe
1.27% Amerindian
1.10% Southeast_Asian

aryan brotherhood :p

[Congolese Rice]

I'm Kurd from Iran, so I score less of that but I'm still close to Iranians, other Kurds and Azeris

Oh yeah, makes sense in some way yeah haha

[Congolese Rice]

You are not making any sense. Your non-European, which is SSA is even more removed from Europeans than his non Euro, yet you score more WHG and Steppe than him. How does that make any sense to you?

also, in the case you forgot to count.

Half berber half nw euro WHG + Steppe : 40.57%

My steppe + WHG : 45.17%

i only score 5% more than he does XD

[Aren]

because i score european from my mom's side, and my dad's side. which means i should roughly be 51-55% european. makes a whole lot of sense. a good chunk of this berber's dna is probably italian or iberian and gets sucked in with the near eastern component.

as seen with the brazilian, his med gets sucked into the near eastern.


and thats because i am more NW euro than he is. pretty obvious i think. maghrebis are in general only roughly <68% north african, he's not literally half north african i hope you realize XD


my near eastern is purely middle eastern with some minor neolithic component. but hey, atleast you tried yknow XD ill give you a A+ for the effort and determination my fren <3

NO you are not. He's partly Swedish and Scottish, not very different from your European part which is Dutch.
I'm liking this brain gymnastics your making to explain this. Neither of which make any sense ofc. How the fuck you would be more WHG+Steppe than this guy when pure North African score also low levels of WHG and Steppe. Despite that you are 25% SSA you score more of these components than him. You are lost, loooooost my falafel sucking friend.

[Hadouken]

aryan brotherhood :p

hindu kush is not only that I think . I score 23% gedrosia/baloch so this 30% must have some hidden stuff in it . I am guessing some whg or steppe

[Congolese Rice]

hindu kush is not only that I think . I score 23% gedrosia/baloch so this 30% must have some hidden stuff in it . I am guessing some whg or steppe

well it could definitely be possible lol it would explain why i only score 45% european on this test, definitely some from my near eastern and hindu kush goes to my european

[Congolese Rice]

NO you are not. He's partly Swedish and Scottish, not very different from your European part which is Dutch.
I'm liking this brain gymnastics your making to explain this. Neither of which make any sense ofc. How the fuck you would be more WHG+Steppe than this guy when pure North African score also low levels of WHG and Steppe. Despite that you are 25% SSA you score more of these components than him. You are lost, loooooost my falafel sucking friend.

my european part is not dutch XD it's german, irish, british, and french with minor dutch. but please do continue.


i only score 5% more steppe+whg than this guy does, and he probably also scores iberian because theres no such thing as a "pure north african" the purest north africans are probably 70%> berber, theres no such thing as 100% berber. his 7% SSA is also part of his berber ancestry, so that proves even more that this guy scores iberian, he's probably just as european as i am, if not more XD

[Aren]

well it could definitely be possible lol it would explain why i only score 45% european on this test, definitely some from my near eastern and hindu kush goes to my european

All of it.
45.17 + 22.22 + 3.74 = 71.13
Quite remarkable how it reflects your Eurogenes K13 Oracle mix mode where you score 71% Dutch.

[Congolese Rice]

All of it.
45.17 + 22.22 + 3.74 = 71.13
Quite remarkable how it reflects your Eurogenes K13 Oracle mix mode where you score 71% Dutch.

XDDD


ok, have a good day my friend.

[Congolese Rice]

anyone else willing to share their test results on this post? im curious to see haha

[Kamal900]

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

55.77% Near_Eastern
2.03% East_Asian
0.01% Siberian
0.72% Oceanian
4.54% WHG-UHG
3.96% Sub-Saharan
22.21% Hindu_Kush
10.38% Steppe
0.38% Amerindian
0.00% Southeast_Asian

Prophet Zorastar is smiling upon me:
http://www.zarathushtra.com/z/life/images/z4.gif

[Aren]

XDDD


ok, have a good day my friend.

Meta-Ethnicity
Nigerian, Lebanese, Germanic, French, Berber :picard1:
Ethnicity
43-53% Europe, 19-33% Lebanese/NA, 21% Yoruba, 2-3% Amerind, 1-2% South Asia :picard1:

You are the lowest of the low in this modern day society. Dishonest to the core.

[Congolese Rice]

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

55.77% Near_Eastern
2.03% East_Asian
0.01% Siberian
0.72% Oceanian
4.54% WHG-UHG
3.96% Sub-Saharan
22.21% Hindu_Kush
10.38% Steppe
0.38% Amerindian
0.00% Southeast_Asian

Prophet Zorastar is smiling upon me:


XDDDDDDD mashallah my fren


very nice results tbh XD you score very high near eastern. as expected from a fellow arab bruddah XD

[Thambi]

I think there's some south asian type mix in the hindu kush component. not sure how much though. I dont think hindu kush has any whg tbh. Steppe maybe but whg I doubt.


3.08% Near_Eastern
6.16% East_Asian
0.02% Siberian
6.71% Oceanian
5.20% WHG-UHG
1.85% Sub-Saharan
62.89% Hindu_Kush
0.01% Steppe
0.99% Amerindian
13.09% Southeast_Asian

[Hadouken]

the test is not good for south asians Thambi . it lacks a solid south asian component thats why you get Oceanian almost 7% for example and southeast asian 13 %

[lameduck]

I think there's some south asian type mix in the hindu kush component. not sure how much though. I dont think hindu kush has any whg tbh. Steppe maybe but whg I doubt.

do you have any results for populations that actually live in Hindukush like Pashtuns/Kalash/Burushu/Chitrali etc

[Congolese Rice]

the test is not good for south asians Thambi . it lacks a solid south asian component thats why you get Oceanian almost 7% for example and southeast asian 13 %

Yeh, it's probably made mostly for west eurasians, like west asians, maghrebis, arabs, europeans, etc.

[Kamal900]

My results:

44.37% Near_Eastern
2.17% East_Asian
0.00% Siberian
0.42% Oceanian
5.22% WHG-UHG
0.47% Sub-Saharan
34.81% Hindu_Kush
12.48% Steppe
0.00% Amerindian
0.05% Southeast_Asian

Oh yeah, babe:

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

55.77% Near_Eastern
2.03% East_Asian
0.01% Siberian
0.72% Oceanian
4.54% WHG-UHG
3.96% Sub-Saharan
22.21% Hindu_Kush
10.38% Steppe
0.38% Amerindian
0.00% Southeast_Asian

Prophet Zorastar is smiling upon me:
http://www.zarathushtra.com/z/life/images/z4.gif

[Congolese Rice]

Oh yeah, babe:



17.76% Steppe < step(pe) off my frens, i am the superior steppe man on this thread.

[Thambi]

do you have any results for populations that actually live in Hindukush like Pashtuns/Kalash/Burushu/Chitrali etc

yeah the balochis, brahuis, kalash seem to get it the highest at 70-75%

10 {Quantity of components}
Near_Eastern
East_Asian
Siberian
Oceanian
WHG-UHG
Sub-Saharan
Hindu_Kush
Steppe
Amerindian
Southeast_Asian
Abkhasian 45.58 0.67 0.46 0.16 0.00 0.09 26.37 26.20 0.07 0.40
Adygei 39.26 2.77 2.00 0.19 3.01 0.00 23.58 28.83 0.23 0.12
Afghan_Pashtun 14.39 4.65 4.13 1.99 8.80 0.00 48.21 13.26 1.28 3.30
Afghan_Tadjik 16.58 11.73 6.97 1.43 6.91 0.22 38.72 12.42 1.31 3.71
Afghan_Turkmen 18.25 16.74 14.46 0.99 8.97 0.10 24.98 13.09 1.90 0.51
Afghan_Uzbeki 17.36 12.83 5.75 1.21 7.88 0.00 40.12 11.01 0.87 2.98
Albanian 49.33 0.25 0.42 0.55 23.24 0.27 4.95 20.30 0.03 0.66
Alberstedt_LN 23.41 0.60 0.00 0.00 40.46 0.00 3.99 31.54 0.00 0.00
Algerian 58.46 0.49 1.44 0.99 13.35 22.93 1.14 0.02 0.66 0.52
Altaian 3.09 36.74 34.10 0.20 5.88 0.00 7.88 9.22 2.15 0.73
Ami 0.00 9.20 0.27 0.00 0.00 0.00 0.00 0.00 0.00 90.52
Armenian 55.16 0.29 0.12 0.26 0.32 0.05 26.79 16.77 0.10 0.14
Ashkenazi_Jew 54.56 0.66 0.65 0.46 16.83 1.52 10.61 13.77 0.19 0.76
Assyrian 57.31 0.30 0.24 0.54 0.58 0.10 28.15 12.34 0.27 0.16
Atayal 0.00 0.00 0.20 0.00 0.00 0.00 0.00 0.00 0.00 99.79
Australian 0.00 5.37 0.59 82.20 0.00 0.05 5.29 0.00 0.13 6.37
Balkar 38.63 3.92 3.13 0.14 2.63 0.00 22.05 28.58 0.41 0.50
Balochi 14.47 1.03 1.08 1.44 6.62 0.85 68.21 2.86 0.87 2.58
Basque 42.17 0.19 0.03 0.14 50.23 0.01 2.72 4.33 0.18 0.01
BedouinA 60.70 0.66 0.69 0.57 2.69 11.41 17.38 4.86 0.69 0.35
Belarusian 23.25 0.31 0.88 0.34 39.05 0.00 1.03 34.11 0.32 0.71
Bell_Beaker_LN 23.51 0.00 0.25 0.14 44.69 0.12 5.82 24.83 0.50 0.14
BenzigerodeHeimburg_LN 16.52 0.00 0.00 0.04 37.83 0.85 4.19 39.80 0.77 0.00
Bergamo 49.06 0.19 0.02 0.23 30.15 0.07 4.77 14.95 0.22 0.34
Bolivian 3.56 0.46 0.32 0.09 2.65 0.17 0.41 0.69 91.37 0.28
Bosnian 35.70 0.38 0.27 0.34 31.43 0.02 3.57 27.35 0.17 0.75
Bougainville 0.00 0.00 0.07 78.98 0.00 0.00 0.00 0.00 0.00 20.94
Brahui 14.25 0.71 0.61 1.48 6.97 0.94 70.04 1.36 1.07 2.59
Bulgarian 42.51 0.60 0.72 0.38 26.21 0.03 4.91 23.91 0.24 0.49
Burmese 0.00 49.52 2.58 3.33 0.66 0.07 11.16 0.00 0.56 32.12
Burusho 2.02 9.65 2.32 2.39 10.66 0.02 62.38 4.04 1.89 4.61
Buryat 2.87 45.25 41.62 0.41 1.47 0.00 2.79 4.23 0.63 0.74
Cambodian 0.00 23.11 0.00 3.43 0.68 0.20 8.77 0.18 0.09 63.52
Chechen 35.43 1.39 1.37 0.19 5.04 0.03 24.96 30.67 0.73 0.19
Chuvash 14.08 5.18 18.05 0.29 26.77 0.02 3.95 29.86 1.50 0.31
Corded_Ware_LN 8.03 0.08 0.00 0.44 25.92 0.31 3.31 61.27 0.06 0.59
Croatian 36.87 0.37 0.43 0.45 32.46 0.03 1.35 27.39 0.26 0.39
Cyprian 62.86 0.22 0.41 0.52 6.34 0.78 15.65 12.76 0.10 0.38
Cypriot 62.97 0.23 0.49 0.39 6.35 0.90 17.00 11.25 0.19 0.23
Czech 29.82 0.26 0.26 0.29 37.69 0.01 1.73 29.28 0.31 0.34
Dai 0.00 36.93 0.00 0.84 0.00 0.00 0.00 0.00 0.04 62.19
Daur 1.19 60.61 27.13 0.46 0.07 0.00 0.22 0.75 0.63 8.95
Dolgan 2.68 24.29 63.24 0.47 4.14 0.00 1.07 3.81 0.15 0.15
Druze 63.06 0.00 0.28 0.82 2.60 3.21 21.26 8.04 0.49 0.25
East_Sicilian 56.22 0.10 0.69 0.32 17.85 1.62 10.43 12.00 0.29 0.48
Egyptian 61.88 0.31 0.88 0.79 2.47 15.69 13.84 2.87 0.59 0.68
English 31.11 0.09 0.06 0.35 40.93 0.00 3.05 24.14 0.20 0.07
Erzya 18.75 0.78 6.63 0.20 34.99 0.00 1.57 35.14 0.69 1.24
Esan 0.00 0.00 0.00 0.00 0.00 99.99 0.00 0.00 0.00 0.00
Esperstedt_MN 63.51 0.00 0.00 0.00 36.49 0.00 0.00 0.00 0.00 0.00
Estonian 17.69 0.09 1.90 0.28 42.99 0.00 0.00 35.94 0.55 0.58
Even 5.43 19.43 54.05 0.29 9.34 0.00 0.36 9.78 0.70 0.61
Finnish 17.12 0.22 7.41 0.13 41.08 0.00 0.30 32.71 0.64 0.39
French 37.02 0.34 0.05 0.25 38.70 0.12 3.34 19.72 0.29 0.18
French_South 42.79 0.31 0.24 0.07 45.13 0.05 2.25 8.49 0.43 0.22
Gambian 1.74 0.00 0.05 0.26 0.07 97.82 0.03 0.00 0.00 0.03
Georgian 48.42 0.12 0.15 0.09 0.00 0.00 26.27 24.94 0.00 0.02
Greek 51.80 0.23 0.41 0.37 20.03 0.14 7.41 19.03 0.34 0.23
Greenland 0.28 9.90 38.80 0.17 3.35 0.00 1.33 5.50 39.58 1.08
GujaratiA 2.12 0.09 2.54 3.72 13.14 0.00 65.13 3.54 1.86 7.85
Halberstadt_LBA 22.27 0.00 0.00 0.00 43.54 0.00 4.86 28.49 0.84 0.00
Han 0.00 59.99 0.72 0.02 0.00 0.00 0.01 0.03 0.02 39.21
Hungarian 32.96 0.55 0.66 0.16 35.21 0.01 2.32 27.30 0.43 0.40
HungaryGamba_BA 35.10 0.00 0.00 0.00 42.52 0.00 0.00 22.38 0.00 0.00
HungaryGamba_EN 71.97 0.00 0.00 0.16 26.30 0.00 0.00 0.88 0.68 0.00
HungaryGamba_HG 0.00 0.00 0.00 0.00 99.99 0.00 0.00 0.00 0.00 0.00
Icelandic 26.15 0.10 0.20 0.05 42.84 0.00 2.98 27.21 0.42 0.05
Iranian 42.31 1.10 0.83 0.76 2.10 1.86 36.92 12.23 0.63 1.26
Iranian_Jew 57.71 0.18 0.48 0.21 0.34 0.25 31.54 8.64 0.33 0.32
Iranian_Jewish 55.04 0.66 0.34 0.26 0.28 0.32 32.50 10.04 0.19 0.36
Iraqi_Jew 60.95 0.12 0.00 0.36 0.37 0.60 27.72 9.27 0.22 0.40
Iraqi_Jewish 60.23 0.23 0.19 0.52 0.20 0.49 28.68 8.53 0.47 0.47
Jordanian 59.23 0.66 0.71 0.52 2.29 7.35 20.47 7.71 0.43 0.63
Kalash 0.18 1.75 0.79 1.13 14.04 0.00 74.54 3.29 1.77 2.50
Karelia_HG 0.00 0.00 1.46 0.00 37.42 0.00 0.00 48.10 13.01 0.00
Karitiana 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 99.99 0.00
Karsdorf_LN 5.09 0.00 0.00 1.13 15.50 0.00 0.00 76.52 0.00 1.76
Kinh 0.24 40.80 0.00 0.96 0.08 0.00 0.85 0.19 0.16 56.72
Korean 0.00 69.52 9.01 0.00 0.00 0.00 0.00 0.00 0.00 21.47
Kosovar 47.53 0.01 0.42 0.31 24.79 0.00 5.66 20.74 0.32 0.22
Kostenki14 9.35 0.00 3.14 7.81 34.54 6.72 28.53 0.00 2.94 6.96
Kumyk 36.92 3.50 3.01 0.27 4.99 0.04 25.10 25.08 0.34 0.75
Kurdish 45.76 0.49 1.10 0.42 2.32 0.16 34.67 14.33 0.40 0.35
Kyrgyz 7.20 38.95 25.01 0.22 6.08 0.00 8.55 9.66 1.64 2.69
La_Brana-1 0.00 0.00 0.00 2.21 97.43 0.00 0.00 0.00 0.00 0.36
Lahu 0.00 47.33 0.00 1.40 0.00 0.00 0.31 0.00 0.13 50.82
LBK_EN 74.65 0.00 0.00 0.28 24.71 0.00 0.00 0.35 0.00 0.00
Lebanese 58.48 0.64 0.76 0.94 3.56 4.76 21.11 8.81 0.70 0.26
Lebanese_Christian 65.80 0.16 0.24 0.56 1.63 1.37 20.22 9.34 0.33 0.36
Lebanese_Muslim 58.76 0.59 0.67 0.64 3.51 3.76 21.52 9.91 0.45 0.20
Lezgin 33.02 0.46 0.79 0.15 4.73 0.05 28.73 30.97 0.86 0.24
Libyan_Jew 63.30 0.17 0.55 0.58 10.83 4.92 12.43 6.54 0.50 0.17
Lithuanian 18.35 0.30 0.36 0.24 43.75 0.00 0.00 36.70 0.08 0.22
Loschbour 0.00 0.00 0.00 0.44 99.56 0.00 0.00 0.00 0.00 0.00
MA1 0.00 0.00 1.61 3.32 16.29 0.46 24.41 33.76 20.15 0.00
Macedonian 42.79 0.47 0.11 0.17 27.21 0.02 4.41 24.11 0.30 0.42
Malay 0.24 14.90 0.29 5.35 0.70 0.34 9.21 0.07 0.32 68.57
Maltese 55.57 0.09 0.56 0.31 18.01 2.94 10.17 11.59 0.38 0.38
Mandenka 1.43 0.01 0.05 0.08 0.00 98.29 0.02 0.00 0.01 0.11
Mansi 0.75 5.70 43.20 0.45 17.69 0.00 4.26 23.42 3.86 0.65
Mayan 3.01 0.54 0.73 0.22 1.79 1.12 0.48 0.91 90.91 0.30
Mende 0.01 0.01 0.00 0.08 0.02 99.84 0.00 0.00 0.00 0.05
Miao 0.00 59.22 0.00 0.16 0.00 0.00 0.00 0.00 0.02 40.60
Mixe 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 99.99 0.00
Mixtec 0.90 0.99 0.64 0.39 1.10 0.49 0.12 0.23 95.12 0.01
Moksha 20.17 2.09 4.33 0.48 35.11 0.00 2.21 34.37 0.80 0.44
Mongola 1.35 63.24 14.68 0.09 0.16 0.04 0.46 1.97 1.07 16.94
Mongolian 4.03 44.89 30.94 0.49 3.64 0.00 4.65 6.43 1.93 3.02
Montenegrin 41.37 0.16 0.41 0.17 28.94 0.01 2.84 25.20 0.36 0.54
Moroccan 60.03 0.66 0.86 0.84 14.98 19.42 1.42 0.77 0.56 0.46
Moroccan_Jew 61.06 0.19 0.00 0.22 13.12 4.10 12.05 7.43 1.06 0.76
Moroccan_Jewish 60.83 0.19 0.26 0.34 14.12 4.08 11.67 7.38 0.42 0.72
Motala12 0.00 0.00 0.00 0.57 71.41 0.00 0.00 25.92 2.10 0.00
Naxi 0.00 74.27 3.05 1.66 0.00 0.00 0.17 0.00 0.02 20.83
Nganasan 0.00 0.00 99.99 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Nogai 28.57 12.78 9.42 0.37 7.57 0.00 16.66 22.76 0.79 1.09
North_Ossetian 38.73 3.89 2.90 0.13 2.65 0.00 22.35 28.48 0.32 0.55
Norwegian 26.08 0.08 0.86 0.12 42.58 0.00 3.37 26.46 0.46 0.00
Orcadian 27.80 0.00 0.00 0.13 41.76 0.07 3.97 25.47 0.78 0.00
Oroqen 0.23 49.49 42.00 0.19 0.23 0.00 0.10 0.13 0.19 7.45
Palestinian 61.29 0.52 0.62 0.58 2.07 8.31 18.36 7.23 0.62 0.40
Papuan 0.00 0.00 0.00 99.99 0.00 0.00 0.00 0.00 0.00 0.00
Pathan 8.90 1.99 1.45 2.31 10.06 0.00 60.53 8.11 1.95 4.69
Piapoco 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 99.99 0.00
Pima 0.80 0.50 0.66 0.10 0.29 0.00 0.00 0.34 97.11 0.22
Polish 24.41 0.16 0.62 0.18 39.59 0.01 0.50 33.87 0.34 0.33
Quechua 4.11 0.63 0.72 0.07 3.39 0.25 0.23 1.22 89.12 0.24
Romanian 41.48 0.83 1.02 0.35 26.93 0.01 4.69 23.93 0.39 0.37
Russian 22.09 0.71 2.44 0.54 37.55 0.00 1.39 34.21 0.41 0.66
Russian_Kargopol 18.43 0.82 7.00 0.41 36.86 0.00 0.84 34.32 0.75 0.57
Saami_WGA 8.48 2.45 20.11 0.43 34.26 0.00 0.00 32.68 1.14 0.45
Samara_HG 0.00 0.00 0.00 0.00 31.59 0.00 0.00 58.88 9.52 0.00
Samaritan 72.22 0.00 0.00 0.36 0.00 1.92 19.88 4.97 0.64 0.00
Sardinian 63.92 0.18 0.14 0.20 34.84 0.27 0.01 0.09 0.15 0.22
Scottish 28.00 0.04 0.42 0.06 41.80 0.00 4.00 25.13 0.54 0.00
Sephardic_Jewish 59.62 0.15 0.61 0.53 13.25 2.17 13.34 9.86 0.19 0.26
Serbian 39.67 0.31 0.56 0.38 29.84 0.02 3.00 25.41 0.34 0.47
Serbian_Bosnia 36.42 0.47 0.15 0.29 32.14 0.00 2.12 27.49 0.26 0.66
She 0.00 60.49 0.00 0.00 0.00 0.00 0.00 0.00 0.00 39.50
Sicilian 54.71 0.29 0.30 0.31 19.21 1.80 9.71 13.04 0.11 0.53
South_Italian 57.70 0.18 0.24 0.35 16.62 1.12 10.88 12.21 0.44 0.26
Spain_EN 66.72 0.00 0.00 0.71 32.56 0.00 0.00 0.00 0.00 0.00
Spain_MN 55.42 0.00 0.00 0.00 44.58 0.00 0.00 0.00 0.00 0.00
Spanish 45.28 0.22 0.24 0.23 37.54 1.36 3.23 11.24 0.35 0.30
Spanish_North 42.89 0.00 0.07 0.10 46.58 0.00 1.77 8.28 0.29 0.00
Stuttgart 73.95 0.00 0.00 0.30 25.75 0.00 0.00 0.00 0.00 0.00
Surui 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 99.99 0.00
Syrian 57.36 0.38 0.59 0.64 2.53 5.33 22.58 9.14 0.62 0.84
Tadjik 17.85 8.97 4.92 0.67 10.32 0.00 37.52 16.17 1.79 1.79
Tajik_Pomiri 12.19 5.23 2.11 0.90 14.27 0.00 43.63 18.72 2.39 0.55
Thai 0.66 30.83 0.14 2.85 0.78 0.03 9.50 0.08 0.08 55.06
Tu 1.30 67.72 8.20 0.82 1.00 0.00 2.97 1.14 0.80 16.05
Tubalar 0.29 29.26 28.23 0.14 10.26 0.00 10.07 18.28 3.46 0.00
Tujia 0.00 63.81 0.25 0.04 0.00 0.00 0.00 0.00 0.00 35.89
Tunisian 59.21 0.48 1.08 0.69 11.76 19.74 5.37 0.51 0.57 0.60
Turkish 47.62 3.48 3.17 0.40 6.25 0.31 21.09 16.61 0.49 0.56
Turkish_Jew 59.28 0.11 0.70 0.33 13.19 2.34 12.91 10.64 0.27 0.23
Turkmen 23.68 14.33 11.15 0.77 6.93 0.19 26.75 13.31 1.09 1.81
Tuscan 51.51 0.24 0.15 0.36 25.50 0.48 5.69 15.58 0.26 0.23
Tuvinian 1.67 39.13 42.66 0.52 2.79 0.04 3.33 7.12 1.33 1.42
Ukrainian_Belgorod 24.78 0.27 1.37 0.47 36.85 0.01 1.82 33.85 0.09 0.49
Ukrainian_Kharkov 25.64 0.07 0.45 0.00 37.45 0.00 0.80 33.47 0.20 1.90
Ukrainian_Lviv 27.47 0.15 1.10 0.59 36.51 0.19 1.39 31.75 0.45 0.40
Ukrainian_Poltava 27.41 0.03 1.16 0.05 37.09 0.00 0.94 32.09 0.65 0.58
Ust_Ishim 4.10 4.90 4.25 15.73 12.85 12.72 25.90 0.00 1.96 17.59
Utah_British 29.56 0.28 0.08 0.22 41.47 0.38 2.44 24.88 0.59 0.09
Utah_German 30.28 0.36 0.02 0.10 39.96 0.36 2.03 26.15 0.50 0.24
Utah_Scandinavian 26.25 0.14 0.36 0.38 41.96 0.36 1.83 28.16 0.33 0.21
Utah_USA 30.88 0.18 0.16 0.20 40.46 0.37 2.70 24.50 0.34 0.20
Uygur 10.38 30.70 12.97 0.75 6.50 0.00 19.94 10.71 1.71 6.34
Uzbek 16.33 21.25 13.63 0.51 8.03 0.04 22.67 13.79 0.92 2.83
West_Sicilian 53.40 0.10 0.23 0.18 20.76 1.39 9.07 14.41 0.32 0.14
Xibo 0.76 63.86 18.32 0.30 0.13 0.00 0.83 1.13 0.42 14.24
Yakut 2.40 31.70 59.48 0.14 1.36 0.00 1.46 2.99 0.38 0.09
Yamnaya 0.00 0.00 0.00 0.03 0.00 0.00 0.00 99.96 0.00 0.00
Yemen 55.19 0.69 1.56 0.87 0.75 17.45 19.71 2.57 0.75 0.47
Yi 0.02 71.94 3.41 1.26 0.00 0.00 0.06 0.00 0.28 23.03
Yoruba 0.00 0.00 0.00 0.01 0.00 99.97 0.00 0.00 0.01 0.00
Yukagir 3.17 14.62 64.51 0.11 5.55 0.00 0.19 5.43 5.59 0.82
Zapotec 1.06 0.95 1.31 0.10 1.19 0.02 0.44 0.97 93.95 0.00

[Hadouken]

yeah the balochis, brahuis, kalash seem to get it the highest at 70-75%

10 {Quantity of components}
Near_Eastern
East_Asian
Siberian
Oceanian
WHG-UHG
Sub-Saharan
Hindu_Kush
Steppe
Amerindian
Southeast_Asian
Abkhasian 45.58 0.67 0.46 0.16 0.00 0.09 26.37 26.20 0.07 0.40
Adygei 39.26 2.77 2.00 0.19 3.01 0.00 23.58 28.83 0.23 0.12
Afghan_Pashtun 14.39 4.65 4.13 1.99 8.80 0.00 48.21 13.26 1.28 3.30
Afghan_Tadjik 16.58 11.73 6.97 1.43 6.91 0.22 38.72 12.42 1.31 3.71
Afghan_Turkmen 18.25 16.74 14.46 0.99 8.97 0.10 24.98 13.09 1.90 0.51
Afghan_Uzbeki 17.36 12.83 5.75 1.21 7.88 0.00 40.12 11.01 0.87 2.98
Albanian 49.33 0.25 0.42 0.55 23.24 0.27 4.95 20.30 0.03 0.66
Alberstedt_LN 23.41 0.60 0.00 0.00 40.46 0.00 3.99 31.54 0.00 0.00
Algerian 58.46 0.49 1.44 0.99 13.35 22.93 1.14 0.02 0.66 0.52
Altaian 3.09 36.74 34.10 0.20 5.88 0.00 7.88 9.22 2.15 0.73
Ami 0.00 9.20 0.27 0.00 0.00 0.00 0.00 0.00 0.00 90.52
Armenian 55.16 0.29 0.12 0.26 0.32 0.05 26.79 16.77 0.10 0.14
Ashkenazi_Jew 54.56 0.66 0.65 0.46 16.83 1.52 10.61 13.77 0.19 0.76
Assyrian 57.31 0.30 0.24 0.54 0.58 0.10 28.15 12.34 0.27 0.16
Atayal 0.00 0.00 0.20 0.00 0.00 0.00 0.00 0.00 0.00 99.79
Australian 0.00 5.37 0.59 82.20 0.00 0.05 5.29 0.00 0.13 6.37
Balkar 38.63 3.92 3.13 0.14 2.63 0.00 22.05 28.58 0.41 0.50
Balochi 14.47 1.03 1.08 1.44 6.62 0.85 68.21 2.86 0.87 2.58
Basque 42.17 0.19 0.03 0.14 50.23 0.01 2.72 4.33 0.18 0.01
BedouinA 60.70 0.66 0.69 0.57 2.69 11.41 17.38 4.86 0.69 0.35
Belarusian 23.25 0.31 0.88 0.34 39.05 0.00 1.03 34.11 0.32 0.71
Bell_Beaker_LN 23.51 0.00 0.25 0.14 44.69 0.12 5.82 24.83 0.50 0.14
BenzigerodeHeimburg_LN 16.52 0.00 0.00 0.04 37.83 0.85 4.19 39.80 0.77 0.00
Bergamo 49.06 0.19 0.02 0.23 30.15 0.07 4.77 14.95 0.22 0.34
Bolivian 3.56 0.46 0.32 0.09 2.65 0.17 0.41 0.69 91.37 0.28
Bosnian 35.70 0.38 0.27 0.34 31.43 0.02 3.57 27.35 0.17 0.75
Bougainville 0.00 0.00 0.07 78.98 0.00 0.00 0.00 0.00 0.00 20.94
Brahui 14.25 0.71 0.61 1.48 6.97 0.94 70.04 1.36 1.07 2.59
Bulgarian 42.51 0.60 0.72 0.38 26.21 0.03 4.91 23.91 0.24 0.49
Burmese 0.00 49.52 2.58 3.33 0.66 0.07 11.16 0.00 0.56 32.12
Burusho 2.02 9.65 2.32 2.39 10.66 0.02 62.38 4.04 1.89 4.61
Buryat 2.87 45.25 41.62 0.41 1.47 0.00 2.79 4.23 0.63 0.74
Cambodian 0.00 23.11 0.00 3.43 0.68 0.20 8.77 0.18 0.09 63.52
Chechen 35.43 1.39 1.37 0.19 5.04 0.03 24.96 30.67 0.73 0.19
Chuvash 14.08 5.18 18.05 0.29 26.77 0.02 3.95 29.86 1.50 0.31
Corded_Ware_LN 8.03 0.08 0.00 0.44 25.92 0.31 3.31 61.27 0.06 0.59
Croatian 36.87 0.37 0.43 0.45 32.46 0.03 1.35 27.39 0.26 0.39
Cyprian 62.86 0.22 0.41 0.52 6.34 0.78 15.65 12.76 0.10 0.38
Cypriot 62.97 0.23 0.49 0.39 6.35 0.90 17.00 11.25 0.19 0.23
Czech 29.82 0.26 0.26 0.29 37.69 0.01 1.73 29.28 0.31 0.34
Dai 0.00 36.93 0.00 0.84 0.00 0.00 0.00 0.00 0.04 62.19
Daur 1.19 60.61 27.13 0.46 0.07 0.00 0.22 0.75 0.63 8.95
Dolgan 2.68 24.29 63.24 0.47 4.14 0.00 1.07 3.81 0.15 0.15
Druze 63.06 0.00 0.28 0.82 2.60 3.21 21.26 8.04 0.49 0.25
East_Sicilian 56.22 0.10 0.69 0.32 17.85 1.62 10.43 12.00 0.29 0.48
Egyptian 61.88 0.31 0.88 0.79 2.47 15.69 13.84 2.87 0.59 0.68
English 31.11 0.09 0.06 0.35 40.93 0.00 3.05 24.14 0.20 0.07
Erzya 18.75 0.78 6.63 0.20 34.99 0.00 1.57 35.14 0.69 1.24
Esan 0.00 0.00 0.00 0.00 0.00 99.99 0.00 0.00 0.00 0.00
Esperstedt_MN 63.51 0.00 0.00 0.00 36.49 0.00 0.00 0.00 0.00 0.00
Estonian 17.69 0.09 1.90 0.28 42.99 0.00 0.00 35.94 0.55 0.58
Even 5.43 19.43 54.05 0.29 9.34 0.00 0.36 9.78 0.70 0.61
Finnish 17.12 0.22 7.41 0.13 41.08 0.00 0.30 32.71 0.64 0.39
French 37.02 0.34 0.05 0.25 38.70 0.12 3.34 19.72 0.29 0.18
French_South 42.79 0.31 0.24 0.07 45.13 0.05 2.25 8.49 0.43 0.22
Gambian 1.74 0.00 0.05 0.26 0.07 97.82 0.03 0.00 0.00 0.03
Georgian 48.42 0.12 0.15 0.09 0.00 0.00 26.27 24.94 0.00 0.02
Greek 51.80 0.23 0.41 0.37 20.03 0.14 7.41 19.03 0.34 0.23
Greenland 0.28 9.90 38.80 0.17 3.35 0.00 1.33 5.50 39.58 1.08
GujaratiA 2.12 0.09 2.54 3.72 13.14 0.00 65.13 3.54 1.86 7.85
Halberstadt_LBA 22.27 0.00 0.00 0.00 43.54 0.00 4.86 28.49 0.84 0.00
Han 0.00 59.99 0.72 0.02 0.00 0.00 0.01 0.03 0.02 39.21
Hungarian 32.96 0.55 0.66 0.16 35.21 0.01 2.32 27.30 0.43 0.40
HungaryGamba_BA 35.10 0.00 0.00 0.00 42.52 0.00 0.00 22.38 0.00 0.00
HungaryGamba_EN 71.97 0.00 0.00 0.16 26.30 0.00 0.00 0.88 0.68 0.00
HungaryGamba_HG 0.00 0.00 0.00 0.00 99.99 0.00 0.00 0.00 0.00 0.00
Icelandic 26.15 0.10 0.20 0.05 42.84 0.00 2.98 27.21 0.42 0.05
Iranian 42.31 1.10 0.83 0.76 2.10 1.86 36.92 12.23 0.63 1.26
Iranian_Jew 57.71 0.18 0.48 0.21 0.34 0.25 31.54 8.64 0.33 0.32
Iranian_Jewish 55.04 0.66 0.34 0.26 0.28 0.32 32.50 10.04 0.19 0.36
Iraqi_Jew 60.95 0.12 0.00 0.36 0.37 0.60 27.72 9.27 0.22 0.40
Iraqi_Jewish 60.23 0.23 0.19 0.52 0.20 0.49 28.68 8.53 0.47 0.47
Jordanian 59.23 0.66 0.71 0.52 2.29 7.35 20.47 7.71 0.43 0.63
Kalash 0.18 1.75 0.79 1.13 14.04 0.00 74.54 3.29 1.77 2.50
Karelia_HG 0.00 0.00 1.46 0.00 37.42 0.00 0.00 48.10 13.01 0.00
Karitiana 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 99.99 0.00
Karsdorf_LN 5.09 0.00 0.00 1.13 15.50 0.00 0.00 76.52 0.00 1.76
Kinh 0.24 40.80 0.00 0.96 0.08 0.00 0.85 0.19 0.16 56.72
Korean 0.00 69.52 9.01 0.00 0.00 0.00 0.00 0.00 0.00 21.47
Kosovar 47.53 0.01 0.42 0.31 24.79 0.00 5.66 20.74 0.32 0.22
Kostenki14 9.35 0.00 3.14 7.81 34.54 6.72 28.53 0.00 2.94 6.96
Kumyk 36.92 3.50 3.01 0.27 4.99 0.04 25.10 25.08 0.34 0.75
Kurdish 45.76 0.49 1.10 0.42 2.32 0.16 34.67 14.33 0.40 0.35
Kyrgyz 7.20 38.95 25.01 0.22 6.08 0.00 8.55 9.66 1.64 2.69
La_Brana-1 0.00 0.00 0.00 2.21 97.43 0.00 0.00 0.00 0.00 0.36
Lahu 0.00 47.33 0.00 1.40 0.00 0.00 0.31 0.00 0.13 50.82
LBK_EN 74.65 0.00 0.00 0.28 24.71 0.00 0.00 0.35 0.00 0.00
Lebanese 58.48 0.64 0.76 0.94 3.56 4.76 21.11 8.81 0.70 0.26
Lebanese_Christian 65.80 0.16 0.24 0.56 1.63 1.37 20.22 9.34 0.33 0.36
Lebanese_Muslim 58.76 0.59 0.67 0.64 3.51 3.76 21.52 9.91 0.45 0.20
Lezgin 33.02 0.46 0.79 0.15 4.73 0.05 28.73 30.97 0.86 0.24
Libyan_Jew 63.30 0.17 0.55 0.58 10.83 4.92 12.43 6.54 0.50 0.17
Lithuanian 18.35 0.30 0.36 0.24 43.75 0.00 0.00 36.70 0.08 0.22
Loschbour 0.00 0.00 0.00 0.44 99.56 0.00 0.00 0.00 0.00 0.00
MA1 0.00 0.00 1.61 3.32 16.29 0.46 24.41 33.76 20.15 0.00
Macedonian 42.79 0.47 0.11 0.17 27.21 0.02 4.41 24.11 0.30 0.42
Malay 0.24 14.90 0.29 5.35 0.70 0.34 9.21 0.07 0.32 68.57
Maltese 55.57 0.09 0.56 0.31 18.01 2.94 10.17 11.59 0.38 0.38
Mandenka 1.43 0.01 0.05 0.08 0.00 98.29 0.02 0.00 0.01 0.11
Mansi 0.75 5.70 43.20 0.45 17.69 0.00 4.26 23.42 3.86 0.65
Mayan 3.01 0.54 0.73 0.22 1.79 1.12 0.48 0.91 90.91 0.30
Mende 0.01 0.01 0.00 0.08 0.02 99.84 0.00 0.00 0.00 0.05
Miao 0.00 59.22 0.00 0.16 0.00 0.00 0.00 0.00 0.02 40.60
Mixe 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 99.99 0.00
Mixtec 0.90 0.99 0.64 0.39 1.10 0.49 0.12 0.23 95.12 0.01
Moksha 20.17 2.09 4.33 0.48 35.11 0.00 2.21 34.37 0.80 0.44
Mongola 1.35 63.24 14.68 0.09 0.16 0.04 0.46 1.97 1.07 16.94
Mongolian 4.03 44.89 30.94 0.49 3.64 0.00 4.65 6.43 1.93 3.02
Montenegrin 41.37 0.16 0.41 0.17 28.94 0.01 2.84 25.20 0.36 0.54
Moroccan 60.03 0.66 0.86 0.84 14.98 19.42 1.42 0.77 0.56 0.46
Moroccan_Jew 61.06 0.19 0.00 0.22 13.12 4.10 12.05 7.43 1.06 0.76
Moroccan_Jewish 60.83 0.19 0.26 0.34 14.12 4.08 11.67 7.38 0.42 0.72
Motala12 0.00 0.00 0.00 0.57 71.41 0.00 0.00 25.92 2.10 0.00
Naxi 0.00 74.27 3.05 1.66 0.00 0.00 0.17 0.00 0.02 20.83
Nganasan 0.00 0.00 99.99 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Nogai 28.57 12.78 9.42 0.37 7.57 0.00 16.66 22.76 0.79 1.09
North_Ossetian 38.73 3.89 2.90 0.13 2.65 0.00 22.35 28.48 0.32 0.55
Norwegian 26.08 0.08 0.86 0.12 42.58 0.00 3.37 26.46 0.46 0.00
Orcadian 27.80 0.00 0.00 0.13 41.76 0.07 3.97 25.47 0.78 0.00
Oroqen 0.23 49.49 42.00 0.19 0.23 0.00 0.10 0.13 0.19 7.45
Palestinian 61.29 0.52 0.62 0.58 2.07 8.31 18.36 7.23 0.62 0.40
Papuan 0.00 0.00 0.00 99.99 0.00 0.00 0.00 0.00 0.00 0.00
Pathan 8.90 1.99 1.45 2.31 10.06 0.00 60.53 8.11 1.95 4.69
Piapoco 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 99.99 0.00
Pima 0.80 0.50 0.66 0.10 0.29 0.00 0.00 0.34 97.11 0.22
Polish 24.41 0.16 0.62 0.18 39.59 0.01 0.50 33.87 0.34 0.33
Quechua 4.11 0.63 0.72 0.07 3.39 0.25 0.23 1.22 89.12 0.24
Romanian 41.48 0.83 1.02 0.35 26.93 0.01 4.69 23.93 0.39 0.37
Russian 22.09 0.71 2.44 0.54 37.55 0.00 1.39 34.21 0.41 0.66
Russian_Kargopol 18.43 0.82 7.00 0.41 36.86 0.00 0.84 34.32 0.75 0.57
Saami_WGA 8.48 2.45 20.11 0.43 34.26 0.00 0.00 32.68 1.14 0.45
Samara_HG 0.00 0.00 0.00 0.00 31.59 0.00 0.00 58.88 9.52 0.00
Samaritan 72.22 0.00 0.00 0.36 0.00 1.92 19.88 4.97 0.64 0.00
Sardinian 63.92 0.18 0.14 0.20 34.84 0.27 0.01 0.09 0.15 0.22
Scottish 28.00 0.04 0.42 0.06 41.80 0.00 4.00 25.13 0.54 0.00
Sephardic_Jewish 59.62 0.15 0.61 0.53 13.25 2.17 13.34 9.86 0.19 0.26
Serbian 39.67 0.31 0.56 0.38 29.84 0.02 3.00 25.41 0.34 0.47
Serbian_Bosnia 36.42 0.47 0.15 0.29 32.14 0.00 2.12 27.49 0.26 0.66
She 0.00 60.49 0.00 0.00 0.00 0.00 0.00 0.00 0.00 39.50
Sicilian 54.71 0.29 0.30 0.31 19.21 1.80 9.71 13.04 0.11 0.53
South_Italian 57.70 0.18 0.24 0.35 16.62 1.12 10.88 12.21 0.44 0.26
Spain_EN 66.72 0.00 0.00 0.71 32.56 0.00 0.00 0.00 0.00 0.00
Spain_MN 55.42 0.00 0.00 0.00 44.58 0.00 0.00 0.00 0.00 0.00
Spanish 45.28 0.22 0.24 0.23 37.54 1.36 3.23 11.24 0.35 0.30
Spanish_North 42.89 0.00 0.07 0.10 46.58 0.00 1.77 8.28 0.29 0.00
Stuttgart 73.95 0.00 0.00 0.30 25.75 0.00 0.00 0.00 0.00 0.00
Surui 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 99.99 0.00
Syrian 57.36 0.38 0.59 0.64 2.53 5.33 22.58 9.14 0.62 0.84
Tadjik 17.85 8.97 4.92 0.67 10.32 0.00 37.52 16.17 1.79 1.79
Tajik_Pomiri 12.19 5.23 2.11 0.90 14.27 0.00 43.63 18.72 2.39 0.55
Thai 0.66 30.83 0.14 2.85 0.78 0.03 9.50 0.08 0.08 55.06
Tu 1.30 67.72 8.20 0.82 1.00 0.00 2.97 1.14 0.80 16.05
Tubalar 0.29 29.26 28.23 0.14 10.26 0.00 10.07 18.28 3.46 0.00
Tujia 0.00 63.81 0.25 0.04 0.00 0.00 0.00 0.00 0.00 35.89
Tunisian 59.21 0.48 1.08 0.69 11.76 19.74 5.37 0.51 0.57 0.60
Turkish 47.62 3.48 3.17 0.40 6.25 0.31 21.09 16.61 0.49 0.56
Turkish_Jew 59.28 0.11 0.70 0.33 13.19 2.34 12.91 10.64 0.27 0.23
Turkmen 23.68 14.33 11.15 0.77 6.93 0.19 26.75 13.31 1.09 1.81
Tuscan 51.51 0.24 0.15 0.36 25.50 0.48 5.69 15.58 0.26 0.23
Tuvinian 1.67 39.13 42.66 0.52 2.79 0.04 3.33 7.12 1.33 1.42
Ukrainian_Belgorod 24.78 0.27 1.37 0.47 36.85 0.01 1.82 33.85 0.09 0.49
Ukrainian_Kharkov 25.64 0.07 0.45 0.00 37.45 0.00 0.80 33.47 0.20 1.90
Ukrainian_Lviv 27.47 0.15 1.10 0.59 36.51 0.19 1.39 31.75 0.45 0.40
Ukrainian_Poltava 27.41 0.03 1.16 0.05 37.09 0.00 0.94 32.09 0.65 0.58
Ust_Ishim 4.10 4.90 4.25 15.73 12.85 12.72 25.90 0.00 1.96 17.59
Utah_British 29.56 0.28 0.08 0.22 41.47 0.38 2.44 24.88 0.59 0.09
Utah_German 30.28 0.36 0.02 0.10 39.96 0.36 2.03 26.15 0.50 0.24
Utah_Scandinavian 26.25 0.14 0.36 0.38 41.96 0.36 1.83 28.16 0.33 0.21
Utah_USA 30.88 0.18 0.16 0.20 40.46 0.37 2.70 24.50 0.34 0.20
Uygur 10.38 30.70 12.97 0.75 6.50 0.00 19.94 10.71 1.71 6.34
Uzbek 16.33 21.25 13.63 0.51 8.03 0.04 22.67 13.79 0.92 2.83
West_Sicilian 53.40 0.10 0.23 0.18 20.76 1.39 9.07 14.41 0.32 0.14
Xibo 0.76 63.86 18.32 0.30 0.13 0.00 0.83 1.13 0.42 14.24
Yakut 2.40 31.70 59.48 0.14 1.36 0.00 1.46 2.99 0.38 0.09
Yamnaya 0.00 0.00 0.00 0.03 0.00 0.00 0.00 99.96 0.00 0.00
Yemen 55.19 0.69 1.56 0.87 0.75 17.45 19.71 2.57 0.75 0.47
Yi 0.02 71.94 3.41 1.26 0.00 0.00 0.06 0.00 0.28 23.03
Yoruba 0.00 0.00 0.00 0.01 0.00 99.97 0.00 0.00 0.01 0.00
Yukagir 3.17 14.62 64.51 0.11 5.55 0.00 0.19 5.43 5.59 0.82
Zapotec 1.06 0.95 1.31 0.10 1.19 0.02 0.44 0.97 93.95 0.00

I cant read anything from this ...lol

how much steppe do afghan pashtuns have

[Kamal900]

I cant read anything from this ...lol

how much steppe do afghan pashtuns have

I think the same amount as Kurds which is around 13%..I score around 10%, fam.

[Hadouken]

I think the same amount as Kurds which is around 13%..I score around 10%, fam.

Myanthropologies always says that afghans score a lot more steppe/european than us thats why I am asking

[lameduck]

yeah the balochis, brahuis, kalash seem to get it the highest at 70-75%

10 {Quantity of components}
Near_Eastern
East_Asian
Siberian
Oceanian
WHG-UHG
Sub-Saharan
Hindu_Kush
Steppe
Amerindian
Southeast_Asian
Abkhasian 45.58 0.67 0.46 0.16 0.00 0.09 26.37 26.20 0.07 0.40
Adygei 39.26 2.77 2.00 0.19 3.01 0.00 23.58 28.83 0.23 0.12
Afghan_Pashtun 14.39 4.65 4.13 1.99 8.80 0.00 48.21 13.26 1.28 3.30
Afghan_Tadjik 16.58 11.73 6.97 1.43 6.91 0.22 38.72 12.42 1.31 3.71
Afghan_Turkmen 18.25 16.74 14.46 0.99 8.97 0.10 24.98 13.09 1.90 0.51
Afghan_Uzbeki 17.36 12.83 5.75 1.21 7.88 0.00 40.12 11.01 0.87 2.98
Albanian 49.33 0.25 0.42 0.55 23.24 0.27 4.95 20.30 0.03 0.66
Alberstedt_LN 23.41 0.60 0.00 0.00 40.46 0.00 3.99 31.54 0.00 0.00
Algerian 58.46 0.49 1.44 0.99 13.35 22.93 1.14 0.02 0.66 0.52
Altaian 3.09 36.74 34.10 0.20 5.88 0.00 7.88 9.22 2.15 0.73
Ami 0.00 9.20 0.27 0.00 0.00 0.00 0.00 0.00 0.00 90.52
Armenian 55.16 0.29 0.12 0.26 0.32 0.05 26.79 16.77 0.10 0.14
Ashkenazi_Jew 54.56 0.66 0.65 0.46 16.83 1.52 10.61 13.77 0.19 0.76
Assyrian 57.31 0.30 0.24 0.54 0.58 0.10 28.15 12.34 0.27 0.16
Atayal 0.00 0.00 0.20 0.00 0.00 0.00 0.00 0.00 0.00 99.79
Australian 0.00 5.37 0.59 82.20 0.00 0.05 5.29 0.00 0.13 6.37
Balkar 38.63 3.92 3.13 0.14 2.63 0.00 22.05 28.58 0.41 0.50
Balochi 14.47 1.03 1.08 1.44 6.62 0.85 68.21 2.86 0.87 2.58
Basque 42.17 0.19 0.03 0.14 50.23 0.01 2.72 4.33 0.18 0.01
BedouinA 60.70 0.66 0.69 0.57 2.69 11.41 17.38 4.86 0.69 0.35
Belarusian 23.25 0.31 0.88 0.34 39.05 0.00 1.03 34.11 0.32 0.71
Bell_Beaker_LN 23.51 0.00 0.25 0.14 44.69 0.12 5.82 24.83 0.50 0.14
BenzigerodeHeimburg_LN 16.52 0.00 0.00 0.04 37.83 0.85 4.19 39.80 0.77 0.00
Bergamo 49.06 0.19 0.02 0.23 30.15 0.07 4.77 14.95 0.22 0.34
Bolivian 3.56 0.46 0.32 0.09 2.65 0.17 0.41 0.69 91.37 0.28
Bosnian 35.70 0.38 0.27 0.34 31.43 0.02 3.57 27.35 0.17 0.75
Bougainville 0.00 0.00 0.07 78.98 0.00 0.00 0.00 0.00 0.00 20.94
Brahui 14.25 0.71 0.61 1.48 6.97 0.94 70.04 1.36 1.07 2.59
Bulgarian 42.51 0.60 0.72 0.38 26.21 0.03 4.91 23.91 0.24 0.49
Burmese 0.00 49.52 2.58 3.33 0.66 0.07 11.16 0.00 0.56 32.12
Burusho 2.02 9.65 2.32 2.39 10.66 0.02 62.38 4.04 1.89 4.61
Buryat 2.87 45.25 41.62 0.41 1.47 0.00 2.79 4.23 0.63 0.74
Cambodian 0.00 23.11 0.00 3.43 0.68 0.20 8.77 0.18 0.09 63.52
Chechen 35.43 1.39 1.37 0.19 5.04 0.03 24.96 30.67 0.73 0.19
Chuvash 14.08 5.18 18.05 0.29 26.77 0.02 3.95 29.86 1.50 0.31
Corded_Ware_LN 8.03 0.08 0.00 0.44 25.92 0.31 3.31 61.27 0.06 0.59
Croatian 36.87 0.37 0.43 0.45 32.46 0.03 1.35 27.39 0.26 0.39
Cyprian 62.86 0.22 0.41 0.52 6.34 0.78 15.65 12.76 0.10 0.38
Cypriot 62.97 0.23 0.49 0.39 6.35 0.90 17.00 11.25 0.19 0.23
Czech 29.82 0.26 0.26 0.29 37.69 0.01 1.73 29.28 0.31 0.34
Dai 0.00 36.93 0.00 0.84 0.00 0.00 0.00 0.00 0.04 62.19
Daur 1.19 60.61 27.13 0.46 0.07 0.00 0.22 0.75 0.63 8.95
Dolgan 2.68 24.29 63.24 0.47 4.14 0.00 1.07 3.81 0.15 0.15
Druze 63.06 0.00 0.28 0.82 2.60 3.21 21.26 8.04 0.49 0.25
East_Sicilian 56.22 0.10 0.69 0.32 17.85 1.62 10.43 12.00 0.29 0.48
Egyptian 61.88 0.31 0.88 0.79 2.47 15.69 13.84 2.87 0.59 0.68
English 31.11 0.09 0.06 0.35 40.93 0.00 3.05 24.14 0.20 0.07
Erzya 18.75 0.78 6.63 0.20 34.99 0.00 1.57 35.14 0.69 1.24
Esan 0.00 0.00 0.00 0.00 0.00 99.99 0.00 0.00 0.00 0.00
Esperstedt_MN 63.51 0.00 0.00 0.00 36.49 0.00 0.00 0.00 0.00 0.00
Estonian 17.69 0.09 1.90 0.28 42.99 0.00 0.00 35.94 0.55 0.58
Even 5.43 19.43 54.05 0.29 9.34 0.00 0.36 9.78 0.70 0.61
Finnish 17.12 0.22 7.41 0.13 41.08 0.00 0.30 32.71 0.64 0.39
French 37.02 0.34 0.05 0.25 38.70 0.12 3.34 19.72 0.29 0.18
French_South 42.79 0.31 0.24 0.07 45.13 0.05 2.25 8.49 0.43 0.22
Gambian 1.74 0.00 0.05 0.26 0.07 97.82 0.03 0.00 0.00 0.03
Georgian 48.42 0.12 0.15 0.09 0.00 0.00 26.27 24.94 0.00 0.02
Greek 51.80 0.23 0.41 0.37 20.03 0.14 7.41 19.03 0.34 0.23
Greenland 0.28 9.90 38.80 0.17 3.35 0.00 1.33 5.50 39.58 1.08
GujaratiA 2.12 0.09 2.54 3.72 13.14 0.00 65.13 3.54 1.86 7.85
Halberstadt_LBA 22.27 0.00 0.00 0.00 43.54 0.00 4.86 28.49 0.84 0.00
Han 0.00 59.99 0.72 0.02 0.00 0.00 0.01 0.03 0.02 39.21
Hungarian 32.96 0.55 0.66 0.16 35.21 0.01 2.32 27.30 0.43 0.40
HungaryGamba_BA 35.10 0.00 0.00 0.00 42.52 0.00 0.00 22.38 0.00 0.00
HungaryGamba_EN 71.97 0.00 0.00 0.16 26.30 0.00 0.00 0.88 0.68 0.00
HungaryGamba_HG 0.00 0.00 0.00 0.00 99.99 0.00 0.00 0.00 0.00 0.00
Icelandic 26.15 0.10 0.20 0.05 42.84 0.00 2.98 27.21 0.42 0.05
Iranian 42.31 1.10 0.83 0.76 2.10 1.86 36.92 12.23 0.63 1.26
Iranian_Jew 57.71 0.18 0.48 0.21 0.34 0.25 31.54 8.64 0.33 0.32
Iranian_Jewish 55.04 0.66 0.34 0.26 0.28 0.32 32.50 10.04 0.19 0.36
Iraqi_Jew 60.95 0.12 0.00 0.36 0.37 0.60 27.72 9.27 0.22 0.40
Iraqi_Jewish 60.23 0.23 0.19 0.52 0.20 0.49 28.68 8.53 0.47 0.47
Jordanian 59.23 0.66 0.71 0.52 2.29 7.35 20.47 7.71 0.43 0.63
Kalash 0.18 1.75 0.79 1.13 14.04 0.00 74.54 3.29 1.77 2.50
Karelia_HG 0.00 0.00 1.46 0.00 37.42 0.00 0.00 48.10 13.01 0.00
Karitiana 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 99.99 0.00
Karsdorf_LN 5.09 0.00 0.00 1.13 15.50 0.00 0.00 76.52 0.00 1.76
Kinh 0.24 40.80 0.00 0.96 0.08 0.00 0.85 0.19 0.16 56.72
Korean 0.00 69.52 9.01 0.00 0.00 0.00 0.00 0.00 0.00 21.47
Kosovar 47.53 0.01 0.42 0.31 24.79 0.00 5.66 20.74 0.32 0.22
Kostenki14 9.35 0.00 3.14 7.81 34.54 6.72 28.53 0.00 2.94 6.96
Kumyk 36.92 3.50 3.01 0.27 4.99 0.04 25.10 25.08 0.34 0.75
Kurdish 45.76 0.49 1.10 0.42 2.32 0.16 34.67 14.33 0.40 0.35
Kyrgyz 7.20 38.95 25.01 0.22 6.08 0.00 8.55 9.66 1.64 2.69
La_Brana-1 0.00 0.00 0.00 2.21 97.43 0.00 0.00 0.00 0.00 0.36
Lahu 0.00 47.33 0.00 1.40 0.00 0.00 0.31 0.00 0.13 50.82
LBK_EN 74.65 0.00 0.00 0.28 24.71 0.00 0.00 0.35 0.00 0.00
Lebanese 58.48 0.64 0.76 0.94 3.56 4.76 21.11 8.81 0.70 0.26
Lebanese_Christian 65.80 0.16 0.24 0.56 1.63 1.37 20.22 9.34 0.33 0.36
Lebanese_Muslim 58.76 0.59 0.67 0.64 3.51 3.76 21.52 9.91 0.45 0.20
Lezgin 33.02 0.46 0.79 0.15 4.73 0.05 28.73 30.97 0.86 0.24
Libyan_Jew 63.30 0.17 0.55 0.58 10.83 4.92 12.43 6.54 0.50 0.17
Lithuanian 18.35 0.30 0.36 0.24 43.75 0.00 0.00 36.70 0.08 0.22
Loschbour 0.00 0.00 0.00 0.44 99.56 0.00 0.00 0.00 0.00 0.00
MA1 0.00 0.00 1.61 3.32 16.29 0.46 24.41 33.76 20.15 0.00
Macedonian 42.79 0.47 0.11 0.17 27.21 0.02 4.41 24.11 0.30 0.42
Malay 0.24 14.90 0.29 5.35 0.70 0.34 9.21 0.07 0.32 68.57
Maltese 55.57 0.09 0.56 0.31 18.01 2.94 10.17 11.59 0.38 0.38
Mandenka 1.43 0.01 0.05 0.08 0.00 98.29 0.02 0.00 0.01 0.11
Mansi 0.75 5.70 43.20 0.45 17.69 0.00 4.26 23.42 3.86 0.65
Mayan 3.01 0.54 0.73 0.22 1.79 1.12 0.48 0.91 90.91 0.30
Mende 0.01 0.01 0.00 0.08 0.02 99.84 0.00 0.00 0.00 0.05
Miao 0.00 59.22 0.00 0.16 0.00 0.00 0.00 0.00 0.02 40.60
Mixe 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 99.99 0.00
Mixtec 0.90 0.99 0.64 0.39 1.10 0.49 0.12 0.23 95.12 0.01
Moksha 20.17 2.09 4.33 0.48 35.11 0.00 2.21 34.37 0.80 0.44
Mongola 1.35 63.24 14.68 0.09 0.16 0.04 0.46 1.97 1.07 16.94
Mongolian 4.03 44.89 30.94 0.49 3.64 0.00 4.65 6.43 1.93 3.02
Montenegrin 41.37 0.16 0.41 0.17 28.94 0.01 2.84 25.20 0.36 0.54
Moroccan 60.03 0.66 0.86 0.84 14.98 19.42 1.42 0.77 0.56 0.46
Moroccan_Jew 61.06 0.19 0.00 0.22 13.12 4.10 12.05 7.43 1.06 0.76
Moroccan_Jewish 60.83 0.19 0.26 0.34 14.12 4.08 11.67 7.38 0.42 0.72
Motala12 0.00 0.00 0.00 0.57 71.41 0.00 0.00 25.92 2.10 0.00
Naxi 0.00 74.27 3.05 1.66 0.00 0.00 0.17 0.00 0.02 20.83
Nganasan 0.00 0.00 99.99 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Nogai 28.57 12.78 9.42 0.37 7.57 0.00 16.66 22.76 0.79 1.09
North_Ossetian 38.73 3.89 2.90 0.13 2.65 0.00 22.35 28.48 0.32 0.55
Norwegian 26.08 0.08 0.86 0.12 42.58 0.00 3.37 26.46 0.46 0.00
Orcadian 27.80 0.00 0.00 0.13 41.76 0.07 3.97 25.47 0.78 0.00
Oroqen 0.23 49.49 42.00 0.19 0.23 0.00 0.10 0.13 0.19 7.45
Palestinian 61.29 0.52 0.62 0.58 2.07 8.31 18.36 7.23 0.62 0.40
Papuan 0.00 0.00 0.00 99.99 0.00 0.00 0.00 0.00 0.00 0.00
Pathan 8.90 1.99 1.45 2.31 10.06 0.00 60.53 8.11 1.95 4.69
Piapoco 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 99.99 0.00
Pima 0.80 0.50 0.66 0.10 0.29 0.00 0.00 0.34 97.11 0.22
Polish 24.41 0.16 0.62 0.18 39.59 0.01 0.50 33.87 0.34 0.33
Quechua 4.11 0.63 0.72 0.07 3.39 0.25 0.23 1.22 89.12 0.24
Romanian 41.48 0.83 1.02 0.35 26.93 0.01 4.69 23.93 0.39 0.37
Russian 22.09 0.71 2.44 0.54 37.55 0.00 1.39 34.21 0.41 0.66
Russian_Kargopol 18.43 0.82 7.00 0.41 36.86 0.00 0.84 34.32 0.75 0.57
Saami_WGA 8.48 2.45 20.11 0.43 34.26 0.00 0.00 32.68 1.14 0.45
Samara_HG 0.00 0.00 0.00 0.00 31.59 0.00 0.00 58.88 9.52 0.00
Samaritan 72.22 0.00 0.00 0.36 0.00 1.92 19.88 4.97 0.64 0.00
Sardinian 63.92 0.18 0.14 0.20 34.84 0.27 0.01 0.09 0.15 0.22
Scottish 28.00 0.04 0.42 0.06 41.80 0.00 4.00 25.13 0.54 0.00
Sephardic_Jewish 59.62 0.15 0.61 0.53 13.25 2.17 13.34 9.86 0.19 0.26
Serbian 39.67 0.31 0.56 0.38 29.84 0.02 3.00 25.41 0.34 0.47
Serbian_Bosnia 36.42 0.47 0.15 0.29 32.14 0.00 2.12 27.49 0.26 0.66
She 0.00 60.49 0.00 0.00 0.00 0.00 0.00 0.00 0.00 39.50
Sicilian 54.71 0.29 0.30 0.31 19.21 1.80 9.71 13.04 0.11 0.53
South_Italian 57.70 0.18 0.24 0.35 16.62 1.12 10.88 12.21 0.44 0.26
Spain_EN 66.72 0.00 0.00 0.71 32.56 0.00 0.00 0.00 0.00 0.00
Spain_MN 55.42 0.00 0.00 0.00 44.58 0.00 0.00 0.00 0.00 0.00
Spanish 45.28 0.22 0.24 0.23 37.54 1.36 3.23 11.24 0.35 0.30
Spanish_North 42.89 0.00 0.07 0.10 46.58 0.00 1.77 8.28 0.29 0.00
Stuttgart 73.95 0.00 0.00 0.30 25.75 0.00 0.00 0.00 0.00 0.00
Surui 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 99.99 0.00
Syrian 57.36 0.38 0.59 0.64 2.53 5.33 22.58 9.14 0.62 0.84
Tadjik 17.85 8.97 4.92 0.67 10.32 0.00 37.52 16.17 1.79 1.79
Tajik_Pomiri 12.19 5.23 2.11 0.90 14.27 0.00 43.63 18.72 2.39 0.55
Thai 0.66 30.83 0.14 2.85 0.78 0.03 9.50 0.08 0.08 55.06
Tu 1.30 67.72 8.20 0.82 1.00 0.00 2.97 1.14 0.80 16.05
Tubalar 0.29 29.26 28.23 0.14 10.26 0.00 10.07 18.28 3.46 0.00
Tujia 0.00 63.81 0.25 0.04 0.00 0.00 0.00 0.00 0.00 35.89
Tunisian 59.21 0.48 1.08 0.69 11.76 19.74 5.37 0.51 0.57 0.60
Turkish 47.62 3.48 3.17 0.40 6.25 0.31 21.09 16.61 0.49 0.56
Turkish_Jew 59.28 0.11 0.70 0.33 13.19 2.34 12.91 10.64 0.27 0.23
Turkmen 23.68 14.33 11.15 0.77 6.93 0.19 26.75 13.31 1.09 1.81
Tuscan 51.51 0.24 0.15 0.36 25.50 0.48 5.69 15.58 0.26 0.23
Tuvinian 1.67 39.13 42.66 0.52 2.79 0.04 3.33 7.12 1.33 1.42
Ukrainian_Belgorod 24.78 0.27 1.37 0.47 36.85 0.01 1.82 33.85 0.09 0.49
Ukrainian_Kharkov 25.64 0.07 0.45 0.00 37.45 0.00 0.80 33.47 0.20 1.90
Ukrainian_Lviv 27.47 0.15 1.10 0.59 36.51 0.19 1.39 31.75 0.45 0.40
Ukrainian_Poltava 27.41 0.03 1.16 0.05 37.09 0.00 0.94 32.09 0.65 0.58
Ust_Ishim 4.10 4.90 4.25 15.73 12.85 12.72 25.90 0.00 1.96 17.59
Utah_British 29.56 0.28 0.08 0.22 41.47 0.38 2.44 24.88 0.59 0.09
Utah_German 30.28 0.36 0.02 0.10 39.96 0.36 2.03 26.15 0.50 0.24
Utah_Scandinavian 26.25 0.14 0.36 0.38 41.96 0.36 1.83 28.16 0.33 0.21
Utah_USA 30.88 0.18 0.16 0.20 40.46 0.37 2.70 24.50 0.34 0.20
Uygur 10.38 30.70 12.97 0.75 6.50 0.00 19.94 10.71 1.71 6.34
Uzbek 16.33 21.25 13.63 0.51 8.03 0.04 22.67 13.79 0.92 2.83
West_Sicilian 53.40 0.10 0.23 0.18 20.76 1.39 9.07 14.41 0.32 0.14
Xibo 0.76 63.86 18.32 0.30 0.13 0.00 0.83 1.13 0.42 14.24
Yakut 2.40 31.70 59.48 0.14 1.36 0.00 1.46 2.99 0.38 0.09
Yamnaya 0.00 0.00 0.00 0.03 0.00 0.00 0.00 99.96 0.00 0.00
Yemen 55.19 0.69 1.56 0.87 0.75 17.45 19.71 2.57 0.75 0.47
Yi 0.02 71.94 3.41 1.26 0.00 0.00 0.06 0.00 0.28 23.03
Yoruba 0.00 0.00 0.00 0.01 0.00 99.97 0.00 0.00 0.01 0.00
Yukagir 3.17 14.62 64.51 0.11 5.55 0.00 0.19 5.43 5.59 0.82
Zapotec 1.06 0.95 1.31 0.10 1.19 0.02 0.44 0.97 93.95 0.00

interesting these populations are pred Hindukush derived no wonder they also cluster close to BMAC samples as well.

[Congolese Rice]

I think the same amount as Kurds which is around 13%..I score around 10%, fam.

Steppe is like definitely a european component though, right? or does it depend on the individual? like whether he is west asian or nw euro?

[Thambi]

I cant read anything from this ...lol

how much steppe do afghan pashtuns have

Interesting kurds get more steppe than afghan pashtuns.

Kurds at 14%
afghan pashtuns at 13%

[lameduck]

Myanthropologies always says that afghans score a lot more steppe/european than us thats why I am asking

hindukush is eating lot of steppe in Pashtuns case

[Hadouken]

hindukush is eating lot of steppe in Pashtuns case

wow so hungry

[Hadouken]

Interesting kurds get more steppe than afghan pashtuns.

Kurds at 14%
afghan pashtuns at 13%

I just checked the whg and ehg scores from eurasia k9 asi

I score 13.32% both whg and ehg combined and afghans score 16-19%

[Congolese Rice]

I just checked the whg and ehg scores from eurasia k9 asi

I score 13.32% both whg and ehg combined and afghans score 18-19%

lol, sad that i didnt save my entire results saved, pretty stupid tbh but i didnt know they were gonna be removing it XD


Eurasia K9:

SW_Asian 10.99%
Early_Neo_F 12.83%
Caucausus_HG 9.95%


^ early neo F is also a european component right? how much do you and afghans score of it?

[Pahli]

Interesting kurds get more steppe than afghan pashtuns.

Kurds at 14%
afghan pashtuns at 13%

They should more WHG then

[Thambi]

I just checked the whg and ehg scores from eurasia k9 asi

I score 13.32% both whg and ehg combined and afghans score 16-19%

yeah that makes sense since pashtuns get 8% WHG on this and kurds get 2%. So hindu kush doesnt have any WHG imo. Steppe and EHG yeah most likely.

[Hadouken]

lol, sad that i didnt save my entire results saved, pretty stupid tbh but i didnt know they were gonna be removing it XD


Eurasia K9:

SW_Asian 10.99%
Early_Neo_F 12.83%
Caucausus_HG 9.95%


^ early neo F is also a european component right? how much do you and afghans score of it?

I score 22.35 %

afghans score around 9%

[Hadouken]

I dont think this steppe k10 is a good calc tbh

[Impaler]

My results are so complicated, I really do not know what I am. LOL

[Thambi]

They should more WHG then

yeah you're right. pashtuns get 6% more whg than kurds

[Hadouken]

My results are so complicated, I really do not know what am I. LOL

you are a mix of kurdish and romanian

jk

[Hadouken]

yeah you're right. pashtuns get 6% more whg than kurds

where ?

[Impaler]

you are a mix of kurdish and romanian

jk

Haha, there is no Kurdish connection to Romanians. :) Definitely this calculator is not accurate.

[lameduck]

lol, sad that i didnt save my entire results saved, pretty stupid tbh but i didnt know they were gonna be removing it XD


Eurasia K9:

SW_Asian 10.99%
Early_Neo_F 12.83%
Caucausus_HG 9.95%


^ early neo F is also a european component right? how much do you and afghans score of it?

Kurds have lot of real Mediterranean ancestry(Sardinian like) which Pashtuns lack which makes sense Kurds are very close geographically to Europe , surprising aspect of Pashtun/Jatts genetics is that they score very high steppe despite having no direct contact with europe and this proves indo european/aryan migration.

[Thambi]

where ?
Near_Eastern East_Asian Siberian Oceanian WHG-UHG Sub-Saharan Hindu_Kush Steppe Amerindian Southeast_Asian
Afghan_Pashtun 14.39 4.65 4.13 1.99 8.80 0.00 48.21 13.26 1.28 3.30
Kurdish 45.76 0.49 1.10 0.42 2.32 0.16 34.67 14.33 0.40 0.35

[Hadouken]

Kurds have lot of real Mediterranean ancestry(Sardinian like) which Pashtuns lack which makes sense Kurds are very close geographically to Europe , surprising aspect of Pashtun/Jatts genetics is that they score very high steppe despite having no direct contact with europe and this proves indo european/aryan migration.

+1

but we also score some steppe . people forget that . I score 13.40 % steppe on this calc and also same amount on eurasia k9 asi (whg + ehg)

[Congolese Rice]

I score 22.35 %

afghans score around 9%

Ooh lol, then it's most likely a mediterranean based component. as you said earlier you score some south european populations?

[Congolese Rice]

Kurds have lot of real Mediterranean ancestry(Sardinian like) which Pashtuns lack which makes sense Kurds are very close geographically to Europe , surprising aspect of Pashtun/Jatts genetics is that they score very high steppe despite having no direct contact with europe and this proves indo european/aryan migration.

what would you say about the 3 components in my results then? do you think i could have med ancestry or is it just part of my NW euro heritage?

[Congolese Rice]

Haha, there is no Kurdish connection to Romanians. :) Definitely this calculator is not accurate.

it isnt accurate. it only gives you a broad idea where your components could be from- in your case. "kurd" is ment as iranian, or iranic based.

i score alot of arabian, maghrebi, and some levantine pops. says enough about my MENA origins most likely.

[Congolese Rice]

My results are so complicated, I really do not know what I am. LOL

Pfff, have you seen my oracles? it's the definition of chaos. wtf is 50% ust-ishim? 25% kharia? arent those from india??? XD

the only thing that made sense is it giving me 25% moroccan, which translates roughly to being quarter mena. other i dont know XD

[Impaler]

Pfff, have you seen my oracles? it's the definition of chaos. wtf is 50% ust-ishim? 25% kharia? arent those from india??? XD

the only thing that made sense is it giving me 25% moroccan, which translates roughly to being quarter mena. other i dont know XD

I have so much Iranic components on this calculator.

[Thambi]

I'm confused by the WHG component on this. I get 5%, more than Hadouken and kurdish average.. This calc is confusing as fuck lol.

[Hadouken]

Ooh lol, then it's most likely a mediterranean based component. as you said earlier you score some south european populations?

where ?

[Congolese Rice]

where ?

idk, it was in a former post of mine. Maybe the Gedrosia K3 oracle, where i said that you scoring south european wasnt accurate and then you said that you scored south european on more calculators. i dont know exactly what post anymore but im certain i remember something like this haha. it was probably the ancient K6 oracle or gedrosia K3

[Congolese Rice]

I have so much Iranic components on this calculator.

Yeah you do, that's what it's telling you. I don't think you should take the literal populations accurate at all, it can only give you a image of what your ancestry could be. Yours is way easier to read than mine XD

====

Gaussian method.
Noise dispersion set to 0.93416

Using 1 population approximation:
1 Ust_Ishim @ 20.882955
2 GoyetQ116 @ 26.550156
3 Iranian_Bandari @ 42.708123
4 Baloch_Iran @ 54.930283
5 Makrani @ 56.31664
6 Iranian @ 60.6512
7 Iran_Shirazi @ 61.10029
8 Brahui @ 61.770358
9 Yemeni @ 63.570253
10 Balochi @ 65.585494
11 Kurd_C @ 66.779132
12 Jordanian @ 67.919272
13 Lebanese @ 68.378255
14 Syrian @ 69.041925
15 Libyan @ 69.046321
16 Uzbek @ 72.575641
17 Iran_recent @ 72.666645
18 Algerian @ 73.669314
19 Iran_Lori @ 74.03608
20 Sindhi @ 75.784126
138 iterations.

Using 2 populations approximation:
1 Algerian+Ust_Ishim @ 14.55453
2 Moroccan+Ust_Ishim @ 14.663288
3 GoyetQ116+Ust_Ishim @ 16.126737
4 Saharawi+Ust_Ishim @ 17.169747
5 Libyan+Ust_Ishim @ 17.376145
6 Iranian_Bandari+Ust_Ishim @ 17.706978
7 Jew_Libyan+Ust_Ishim @ 17.934796
8 Jew_Moroccan+Ust_Ishim @ 18.109303
9 Egyptian+Ust_Ishim @ 18.110662
10 Jew_Ashkenazi+Ust_Ishim @ 18.263113
11 Jordanian+Ust_Ishim @ 18.331811
12 Syrian+Ust_Ishim @ 18.417538
13 Jew_Tunisian+Ust_Ishim @ 18.468621
14 Sicilian+Ust_Ishim @ 18.645648
15 BedouinA+Ust_Ishim @ 18.733012
16 Turkish+Ust_Ishim @ 19.118378
17 Bulgarian+Ust_Ishim @ 19.140041
18 Ust_Ishim+Yemeni @ 19.198876
19 Spanish+Ust_Ishim @ 19.285942
20 Balkar+Ust_Ishim @ 19.288166
9591 iterations.

===========
Using 3 populations approximation:
1 50% GoyetQ116 +25% Kharia +25% Somali @ 6.04388
2 50% Ust_Ishim +25% Scythian_IA +25% Somali @ 6.327203
3 50% Ust_Ishim +25% Saharawi +25% Scythian_IA @ 6.909153
4 50% Ust_Ishim +25% Moroccan +25% Scythian_IA @ 6.954863
5 50% Ust_Ishim +25% Russian +25% Somali @ 7.303554
6 50% Kharia +25% Lithuanian +25% Somali @ 7.368637
7 50% Ust_Ishim +25% Algerian +25% Scythian_IA @ 7.473468
8 50% Kharia +25% Europe_LNBA +25% Somali @ 7.640163
9 50% Ust_Ishim +25% Finnish +25% Somali @ 7.733039
10 50% Kharia +25% Estonian +25% Somali @ 7.795914
11 50% Kharia +25% Icelandic +25% Somali @ 7.951821
12 50% Ust_Ishim +25% MA1 +25% Saharawi @ 8.205038
13 50% Kharia +25% Norwegian +25% Somali @ 8.522438
14 50% Kharia +25% Basque +25% Masai @ 8.526864
15 50% Kharia +25% Finnish +25% Somali @ 8.596562
16 50% Kharia +25% Scottish +25% Somali @ 8.627853
17 50% Ust_Ishim +25% MA1 +25% Moroccan @ 8.649022
18 50% GoyetQ116 +25% Kharia +25% Masai @ 8.660159
19 50% Kharia +25% English +25% Somali @ 8.720745
20 50% Ust_Ishim +25% Algerian +25% MA1 @ 8.794889


its telling me very mixed things, but i think that 50% ust_ishim is my european, 25% algerian for example is my MENA ,and 25% somali or whatever is my SSA. very weird calc. not made for people like me.


"20 50% Ust_Ishim +25% Algerian +25% MA1 @ 8.794889"

"7 50% Ust_Ishim +25% Algerian +25% Scythian_IA @ 7.473468"

"4 50% Ust_Ishim +25% Moroccan +25% Scythian_IA @ 6.954863"

"3 50% Ust_Ishim +25% Saharawi +25% Scythian_IA @ 6.909153"


^ i think scythian in those estimates are just my SSA, that would make the most sense. im not quarter berber and quarter indo-european thats for sure.

[Token]

Interesting kurds get more steppe than afghan pashtuns.

Kurds at 14%
afghan pashtuns at 13%

Because this old ass calculator's 'Steppe' is bullshit. Pashtuns score much more steppe than most Iranic people.

Never trust a calculator that uses old terminology, like UHG.

[Hadouken]

idk, it was in a former post of mine. Maybe the Gedrosia K3 oracle, where i said that you scoring south european wasnt accurate and then you said that you scored south european on more calculators. i dont know exactly what post anymore but im certain i remember something like this haha. it was probably the ancient K6 oracle or gedrosia K3

in my oracle list I get cypriot and on the 3 or 4 population thing it depends on what is taken as a reference . these things work like a scale to balance things out . when for example balochi is taken as one reference then I get greek or south italian and sometimes albanian to "even it out" . it is like if you want to get to value 3 you can make it 1 + 1 + 1 or you can make 2 + 1 + 0 or 5 + 3 - 5 etc.

[Thambi]

Because this old ass calculator's 'Steppe' is bullshit. Pashtuns score much more steppe.

Never trust a calculator that uses old terminology, like UHG.

I could be wrong but WHG-UHG and hindu kush components might be pulling some steppe in pasthun average's case

[Congolese Rice]

in my oracle list I get cypriot and on the 3 or 4 population thing it depends on what is taken as a reference . these things work like a scale to balance things out . when for example balochi is taken as one reference then I get greek or south italian and sometimes albanian to "even it out" . it is like if you want to get to value 3 you can make it 1 + 1 + 1 or you can make 2 + 1 + 0 or 5 + 3 - 5 etc.

Ooooh... Yeah makes more sense how you explain it now yeah.


How would you say my results are in general? they are very inconsistent imo, nothing really is consistent except for my yoruban percentage.


i personally think these results are super weird, but they put alot of maghrebi, iranian, and arab populations in my oracles so maybe it could make some sort of sense. but really, 50% ust-ishim??? how is that even legitimate. how can i match some ancient human 50%??? makes no sense XD

[Hadouken]

Ooooh... Yeah makes more sense how you explain it now yeah.


How would you say my results are in general? they are very inconsistent imo, nothing really is consistent except for my yoruban percentage.


i personally think these results are super weird, but they put alot of maghrebi, iranian, and arab populations in my oracles so maybe it could make some sort of sense. but really, 50% ust-ishim??? how is that even legitimate. how can i match some ancient human 50%??? makes no sense XD

it is hard to say for me because you are mixed

[Congolese Rice]

Because this old ass calculator's 'Steppe' is bullshit. Pashtuns score much more steppe than most Iranic people.

Never trust a calculator that uses old terminology, like UHG.

thats something i can agree on with you, lol. this calculator is pretty shitty, my oracle results make nooo sense at all. 50% ust-ishim, 25% kharia, etc etc, wtf.

[Congolese Rice]

it is hard to say for me because you are mixed

well yeah true, but the 50% ust-ishim shit makes no sense at all. all i do know is that this calculator is trying to say that i am not 75% european and 25% nigerian, why else would it make it so complicated to read lol. apparently if you mix nigerian, mena and european you completely break a weird as calculator like this XDDDD

[Myanthropologies]

Because this old ass calculator's 'Steppe' is bullshit. Pashtuns score much more steppe than most Iranic people.

Never trust a calculator that uses old terminology, like UHG.

I think a lot of the steppe ancestry in Pashtuns are being sucked into the "Hindu Kush" category. I notice that a lot of these ancient calculators mask the steppe in Afghans by throwing in a modern Hindu Kush or Indus Valley component. Really, it is just detecting shared steppe and Iranian neolthic ancestry between Afghans and the Indus Valley.

[Congolese Rice]

I think a lot of the steppe ancestry in Pashtuns are being sucked into the "Hindu Kush" category. I notice that a lot of these ancient calculators mask the steppe in Afghans by throwing in a modern Hindu Kush or Indus Valley component. Really, it is just detecting shared steppe and Iranian neolthic ancestry between Afghans and the Indus Valley.

imo that could be a reasonable explanation for it yeah. i think hindu-kush definitely masks some steppe, which could explain why i score only 45% european on this test. i definitely have more

[Hadouken]

lol YemeniAntillean is on fire xD raging through the thread

[Myanthropologies]

imo that could be a reasonable explanation for it yeah. i think hindu-kush definitely masks some steppe, which could explain why i score only 45% european on this test. i definitely have more

On geneplaza, I scored nearly half steppe, the rest being mostly Iranian and EEF farmer, with some minor Southeast Asian and WHG dashed in.

[Congolese Rice]

lol YemeniAntillean is on fire xD raging through the thread

yeaaaah boiiiiii


https://thumbs.gfycat.com/SandyTautArgusfish-size_restricted.gif

[Congolese Rice]

On geneplaza, I scored nearly half steppe, the rest being mostly Iranian and EEF farmer, with some minor Southeast Asian and WHG dashed in.

Lol wow, that's pretty interesting. I think it definitely could mask some steppe yeah.

but tbh, it's the ancient tests that are most interesting to me because you never 100% know what they tell you. there's always something new to find out in them which is pretty cool, like you gotta guess yourself what "natufian" or "iran neo" means for example.


but yeah yall results are pretty interesting, nothing surprising though from iranics as they are obv a mix of west asian and balochi-like components

[Aren]

Interesting kurds get more steppe than afghan pashtuns.

Kurds at 14%
afghan pashtuns at 13%

This calc is trash though. Palestinians and Afghans don't score about the same amount of Steppe xD

Pashtuns score more Steppe than Kurds. I'm not sure if this average is Afghan or Pakistani Pashtun, but it scores more than the Kurdish average

"distance%=1.3335"

Pashtun

Sappali_Tepe_BA,35
Shahr_I_Sokhta_BA3,34.6
Sintashta_MLBA,26.2
Han,2.8
Nganassan,1.4


"distance%=1.2185"

Kurdish

Hajji_Firuz_ChL,52.4
Sappali_Tepe_BA,20.2
Sintashta_MLBA,15
Levant_BA,11
Han,1.4

[Aren]

On geneplaza, I scored nearly half steppe, the rest being mostly Iranian and EEF farmer, with some minor Southeast Asian and WHG dashed in.

Honestly Kurds(the member Kurd) calculators on Geneplaze lately have been very Steppe-centric. He seems to be on a mission to show that most of the Steppe input in modern day Indo-Iranian speakers comes mostly from Schytians. There's some kind of fetish involved dunno why. A Levantine member scored also nearly 20%+ Steppe with his latest calc, it's just getting out of hand really.

[Kriptc06]

XD is this guy a european? no, he's brazilian. so for him its mediterranean.


and lol, yknow your trolling attempts are really sad. ill just have you know XD
hey hey hey!

my oracles for you lol

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.

[Congolese Rice]

hey hey hey!

my oracles for you lol
[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





lol wow, you score a whole lot of maghrebi populations. are you sure you dont have any berber or jewish ancestry? XD it might also just be this test false intepretting your near eastern and results. thats a possbility too lol, cuz i seen you score some amerindian if im not mistaken

[Kriptc06]

lol wow, you score a whole lot of maghrebi populations. are you sure you dont have any berber or jewish ancestry? XD it might also just be this test false intepretting your near eastern and results. thats a possbility too lol, cuz i seen you score some amerindian if im not mistaken

maybe sefaradi, but not much, really. I believe it takes part of my SSA and Near_East and mashes them together into a pseudo North African thing in the orcales :), if you look at it no component represent SSA other than Algerian, Moroccan. Which is cool, but not so real.

[Token]

hey hey hey!

my oracles for you lol

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.


Can you post your k13?

[TheMaestro]

Let’s presume that LeBrok tested in 23andMe, and that Fluffy tested in FTDNA. LeBrok will download his 23andMe raw data and name the file as LeBrok.txt , while Fluffy will download his FTDNA raw data (Build 37 Raw Data Concatenated) and name the file as Fluffy.csv . Both using Windows.

Download SteppeK10.zip (save icon - an arrow in top right): https://drive.google.com/file/d/0B-X...lRSkcwV0k/view

Extract the files into a folder called SteppeK10, in C:/ . Now you have the folder C:/SteppeK10 , right? Inside it, the files DIYDodecadWin.exe , standardize.r , Steppe.10.F , Steppe.alleles , steppe.par , Steppe.txt .

LeBrok and Fluffy will put the files LeBrok.txt and Fluffy.csv into the folder C:/SteppeK10, respectively.

Download R software: http://cran.utstat.utoronto.ca/bin/w...-3.3.1-win.exe
Install* this program in English and using default options (if you don’t know how to do it, just ask). After that, run it (click in the icon “R x.. 3.3.1” in Desktop).
*I installed just the 64 bits version.

Once R is running, click in “File” (top left), then click in “Change dir”. Select the folder C:/SteppeK10 and click in “ok”.

Do you see the R console? After the “>” character, type the command below and press Enter:
source('standardize.r')

Now:
a. LeBrok, who tested hypothetically with 23andMe, will type the command below, press Enter and wait til he can type anything again:
standardize('LeBrok.txt', company='23andMe')

b. Fluffy will do that with this command:
standardize('Fluffy.csv', company='ftdna')

Finally, you both will type the command below and wait results show up:
system('DIYDodecadWin steppe.par')


I am too dumb to understand the walkthrough xD

[Kriptc06]

Can you post your k13?

sure thing mate
Admix Results (sorted):

# Population Percent
1 North_Atlantic 26.6
2 West_Med 17.77
3 Amerindian 13.29
4 East_Med 12.17
5 Baltic 11.2
6 Sub-Saharan 10.55
7 Red_Sea 4.2
8 West_Asian 3.62
9 Northeast_African 0.35
10 Oceanian 0.25

Oracle

# Population (source) Distance
1 Portuguese 22.33
2 North_Italian 22.39
3 Spanish_Extremadura 22.42
4 Spanish_Galicia 22.74
5 Tuscan 23.3
6 Spanish_Murcia 23.4
7 Spanish_Castilla_Y_Leon 23.77
8 Romanian 23.98
9 Spanish_Cataluna 24.17
10 Spanish_Valencia 24.34
11 French 24.44
12 Spanish_Andalucia 24.56
13 Greek_Thessaly 24.61
14 Bulgarian 24.63
15 Spanish_Castilla_La_Mancha 24.93
16 Serbian 24.95
17 Spanish_Cantabria 25.19
18 West_Sicilian 25.41
19 Italian_Abruzzo 25.82
20 West_German 26.37

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.9% Portuguese + 17.1% Mayan @ 12.86
2 83.6% Portuguese + 16.4% Pima @ 13
3 82.6% Spanish_Galicia + 17.4% Mayan @ 13.02
4 83.3% Spanish_Galicia + 16.7% Pima @ 13.14
5 83% Spanish_Extremadura + 17% Mayan @ 13.14
6 85.3% Portuguese + 14.7% Karitiana @ 13.2
7 83.7% Spanish_Extremadura + 16.3% Pima @ 13.21
8 81.6% Portuguese + 18.4% North_Amerindian @ 13.23
9 83.1% North_Italian + 16.9% Mayan @ 13.31
10 81.5% Spanish_Extremadura + 18.5% North_Amerindian @ 13.34
11 85% Spanish_Galicia + 15% Karitiana @ 13.34
12 81.2% Spanish_Galicia + 18.8% North_Amerindian @ 13.39
13 85.3% Spanish_Extremadura + 14.7% Karitiana @ 13.46
14 83.8% North_Italian + 16.2% Pima @ 13.49
15 85.5% North_Italian + 14.5% Karitiana @ 13.63
16 81.9% North_Italian + 18.1% North_Amerindian @ 13.84
17 82.2% Spanish_Castilla_Y_Leon + 17.8% Mayan @ 14.02
18 82.6% Spanish_Murcia + 17.4% Mayan @ 14.08
19 81.8% Spanish_Cataluna + 18.2% Mayan @ 14.1
20 82.9% Spanish_Castilla_Y_Leon + 17.1% Pima @ 14.14


Oracle4

Using 1 population approximation:
1 North_Italian @ 21.080559
2 Portuguese @ 21.501331
3 Spanish_Extremadura @ 21.730350
4 Spanish_Galicia @ 21.943956
5 Tuscan @ 22.484991
6 Spanish_Murcia @ 22.922394
7 Spanish_Castilla_Y_Leon @ 23.276104
8 Romanian @ 23.488529
9 Spanish_Cataluna @ 23.731493
10 Spanish_Valencia @ 24.018097
11 Spanish_Andalucia @ 24.059721
12 French @ 24.133055
13 Bulgarian @ 24.413237
14 Serbian @ 24.470871
15 Greek_Thessaly @ 24.588409
16 Spanish_Castilla_La_Mancha @ 24.630993
17 Spanish_Cantabria @ 25.184061
18 West_Sicilian @ 25.697561
19 Italian_Abruzzo @ 26.063150
20 Southwest_French @ 26.676502

Using 2 populations approximation:
1 50% Mozabite_Berber +50% Orcadian @ 15.830290


Using 3 populations approximation:
1 50% French +25% Mozabite_Berber +25% North_Amerindian @ 11.841762


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++
1 Mozabite_Berber + North_Amerindian + Southwest_English + Spanish_Cataluna @ 11.422201
2 Mozabite_Berber + North_Amerindian + Southeast_English + Spanish_Cataluna @ 11.447488
3 Mozabite_Berber + North_Amerindian + North_Dutch + Spanish_Cataluna @ 11.474957
4 Mozabite_Berber + North_Amerindian + North_Dutch + Spanish_Valencia @ 11.480937
5 Mozabite_Berber + North_Amerindian + Southwest_English + Spanish_Valencia @ 11.501705
6 North_Amerindian + Southwest_English + Spanish_Cataluna + Tunisian @ 11.512993
7 Danish + Mozabite_Berber + North_Amerindian + Spanish_Cataluna @ 11.534644
8 Mayan + Mozabite_Berber + North_Dutch + Spanish_Cataluna @ 11.537816
9 Mozabite_Berber + North_Amerindian + North_German + Spanish_Cataluna @ 11.538071
10 Mozabite_Berber + North_Amerindian + Southeast_English + Spanish_Valencia @ 11.540239
11 Danish + Mozabite_Berber + North_Amerindian + Spanish_Valencia @ 11.541955
12 Mayan + Mozabite_Berber + North_German + Spanish_Cataluna @ 11.542379
13 Mozabite_Berber + North_Amerindian + North_German + Spanish_Valencia @ 11.546361
14 Danish + Mayan + Mozabite_Berber + Spanish_Cataluna @ 11.546994
15 Irish + Mozabite_Berber + North_Amerindian + Spanish_Cataluna @ 11.550424
16 Mozabite_Berber + North_Amerindian + North_Dutch + Spanish_Cantabria @ 11.563171
17 Irish + Mozabite_Berber + North_Amerindian + Spanish_Valencia @ 11.564779
18 Mozabite_Berber + North_Amerindian + North_German + Spanish_Cantabria @ 11.575319
19 Mozabite_Berber + North_Amerindian + Southeast_English + Spanish_Cantabria @ 11.578833
20 North_Amerindian + Southwest_English + Spanish_Cantabria + Tunisian @ 11.595374

[Congolese Rice]

Let’s presume that LeBrok tested in 23andMe, and that Fluffy tested in FTDNA. LeBrok will download his 23andMe raw data and name the file as LeBrok.txt , while Fluffy will download his FTDNA raw data (Build 37 Raw Data Concatenated) and name the file as Fluffy.csv . Both using Windows.

Download SteppeK10.zip (save icon - an arrow in top right): https://drive.google.com/file/d/0B-X...lRSkcwV0k/view

Extract the files into a folder called SteppeK10, in C:/ . Now you have the folder C:/SteppeK10 , right? Inside it, the files DIYDodecadWin.exe , standardize.r , Steppe.10.F , Steppe.alleles , steppe.par , Steppe.txt .

LeBrok and Fluffy will put the files LeBrok.txt and Fluffy.csv into the folder C:/SteppeK10, respectively.

Download R software: http://cran.utstat.utoronto.ca/bin/w...-3.3.1-win.exe
Install* this program in English and using default options (if you don’t know how to do it, just ask). After that, run it (click in the icon “R x.. 3.3.1” in Desktop).
*I installed just the 64 bits version.

Once R is running, click in “File” (top left), then click in “Change dir”. Select the folder C:/SteppeK10 and click in “ok”.

Do you see the R console? After the “>” character, type the command below and press Enter:
source('standardize.r')

Now:
a. LeBrok, who tested hypothetically with 23andMe, will type the command below, press Enter and wait til he can type anything again:
standardize('LeBrok.txt', company='23andMe')

b. Fluffy will do that with this command:
standardize('Fluffy.csv', company='ftdna')

Finally, you both will type the command below and wait results show up:
system('DIYDodecadWin steppe.par')


I am too dumb to understand the walkthrough xD

nah i think your good. just look in the folder what the .par file is named and u name it after that

for example the part file is named hamburger.par then u type that XD

[Congolese Rice]

sure thing mate
Admix Results (sorted):

# Population Percent
1 Atlantic 22.68
2 West_Med 13.18
3 North_Sea 13.06
4 Amerindian 12.96
5 Sub-Saharan 10.57
6 East_Med 7.95
7 Baltic 6.33
8 West_Asian 4.89
9 Red_Sea 4.68
10 Eastern_Euro 3.27
11 Northeast_African 0.34
12 Oceanian 0.08

Oracle

Single Population Sharing:

# Population (source) Distance
1 Spanish_Extremadura 22.14
2 Portuguese 22.46
3 Spanish_Murcia 22.5
4 Spanish_Castilla_Y_Leon 22.57
5 Spanish_Galicia 22.78
6 North_Italian 22.89
7 Spanish_Cataluna 23.18
8 Spanish_Andalucia 23.36
9 Spanish_Valencia 23.5
10 Spanish_Castilla_La_Mancha 23.8
11 Tuscan 24.08
12 Spanish_Cantabria 24.11
13 French 24.27
14 Romanian 24.49
15 Serbian 24.5
16 Southwest_French 24.72
17 Bulgarian 24.88
18 Spanish_Aragon 24.89
19 Austrian 25.56
20 South_Dutch 26

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 83.8% Spanish_Extremadura + 16.2% Mayan @ 13.35
2 83.4% Spanish_Castilla_Y_Leon + 16.6% Mayan @ 13.48
3 84.4% Spanish_Extremadura + 15.6% Pima @ 13.51
4 84.8% Spanish_Extremadura + 15.2% Anzick-1 @ 13.56
5 84.1% Spanish_Castilla_Y_Leon + 15.9% Pima @ 13.65
6 86.1% Spanish_Extremadura + 13.9% Karitiana @ 13.67
7 84.5% Spanish_Castilla_Y_Leon + 15.5% Anzick-1 @ 13.68
8 81.6% Spanish_Extremadura + 18.4% North_Amerindian @ 13.75
9 85.8% Spanish_Castilla_Y_Leon + 14.2% Karitiana @ 13.83
10 83.7% Portuguese + 16.3% Mayan @ 13.83
11 83.7% Spanish_Murcia + 16.3% Mayan @ 13.84
12 81.2% Spanish_Castilla_Y_Leon + 18.8% North_Amerindian @ 13.88
13 84.4% Portuguese + 15.6% Pima @ 14
14 84.4% Spanish_Murcia + 15.6% Pima @ 14.02
15 84.8% Portuguese + 15.2% Anzick-1 @ 14.03
16 83.2% Spanish_Cataluna + 16.8% Mayan @ 14.06
17 84.8% Spanish_Murcia + 15.2% Anzick-1 @ 14.06
18 83.6% Spanish_Galicia + 16.4% Mayan @ 14.13
19 86.1% Portuguese + 13.9% Karitiana @ 14.13
20 86% Spanish_Murcia + 14% Karitiana @ 14.18


oracle 4

Least-squares method.

Using 1 population approximation:
1 Spanish_Extremadura @ 20.395041
2 Portuguese @ 20.742420
3 Spanish_Castilla_Y_Leon @ 20.864422
4 Spanish_Murcia @ 20.899504
5 North_Italian @ 20.903858
6 Spanish_Galicia @ 21.187277
7 Spanish_Cataluna @ 21.549866
8 Spanish_Andalucia @ 21.704664
9 Spanish_Valencia @ 22.036528
10 Spanish_Castilla_La_Mancha @ 22.337965
11 Tuscan @ 22.825558
12 Spanish_Cantabria @ 22.928320
13 French @ 23.216463
14 Serbian @ 23.361832
15 Romanian @ 23.482996
16 Southwest_French @ 23.614609
17 Spanish_Aragon @ 23.835262
18 Bulgarian @ 24.051199
19 Austrian @ 24.718103
20 South_Dutch @ 25.592731

Using 2 populations approximation:
1 50% Mozabite_Berber +50% North_German @ 17.075127


Using 3 populations approximation:
1 50% French +25% Mozabite_Berber +25% North_Amerindian @ 13.200636


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++
1 French_Basque + North_Amerindian + North_German + Tunisian @ 11.461948
2 French_Basque + Mozabite_Berber + North_Amerindian + North_German @ 11.504190
3 French_Basque + Irish + North_Amerindian + Tunisian @ 11.620701
4 French_Basque + North_Amerindian + North_Dutch + Tunisian @ 11.625077
5 French_Basque + North_Amerindian + Southeast_English + Tunisian @ 11.665355
6 Danish + French_Basque + North_Amerindian + Tunisian @ 11.677704
7 French_Basque + North_Amerindian + Southwest_English + Tunisian @ 11.678756
8 French_Basque + North_Amerindian + Tunisian + West_Scottish @ 11.682413
9 French_Basque + North_Amerindian + South_Dutch + Tunisian @ 11.721616
10 French_Basque + Mozabite_Berber + North_Amerindian + North_Dutch @ 11.729341
11 French_Basque + Irish + Mozabite_Berber + North_Amerindian @ 11.744150
12 Danish + French_Basque + Mozabite_Berber + North_Amerindian @ 11.758002
13 French_Basque + North_Amerindian + Orcadian + Tunisian @ 11.760697
14 Algerian + French_Basque + North_Amerindian + North_German @ 11.781075
15 French_Basque + Mozabite_Berber + North_Amerindian + Southeast_English @ 11.794608
16 French_Basque + Mozabite_Berber + North_Amerindian + West_Scottish @ 11.813711
17 French_Basque + Mozabite_Berber + North_Amerindian + South_Dutch @ 11.829414
18 French_Basque + Mozabite_Berber + North_Amerindian + Southwest_English @ 11.867845
19 East_German + French_Basque + North_Amerindian + Tunisian @ 11.878742
20 French_Basque + Mozabite_Berber + North_Amerindian + Orcadian @ 11.917495


lol, you could easily have berber ancestry yeah. its weird though, west asian + red sea ur only 8% mideast combined, so maybe the berber component gets sucked into west med and east med, as i suspected lol

[TheMaestro]

nah i think your good. just look in the folder what the .par file is named and u name it after that

for example the part file is named hamburger.par then u type that XD

I have no idea what you've just written :D Neither the second link is working so I wont kill half an hour for nothing.

[Kriptc06]

lol, you could easily have berber ancestry yeah. its weird though, west asian + red sea ur only 8% mideast combined, so maybe the berber component gets sucked into west med and east med, as i suspected lol

aye, if you take my ssa, and little "middle-eastern" that I have, it may look pseudo north african to some oracles.

[Congolese Rice]

I have no idea what you've just written :D Neither the second link is working so I wont kill half an hour for nothing.

ok, if it aint work then its fuckt up 4 you XD


but if you manage to get it working, how it works is like this:


you make a zip map, you put the files from your RAR. file into the zip map, you name ur zip map to whatever u want, u put ur 23andMeDNA file in there or ancestry file whatever.

then you need to make sure it has a DIYDodecad file in there, if it does proceed.

u need to download the R Program, when its done downloading u go to "Change Dir" in the settings, u click ur zip map that u made.

then u do these commands:


('standardize.r')

and then this

standardize('LeBrok.txt', company='23andMe')

then it will load for a while

and then u execute this

system('DIYDodecadWin steppe.par')

its really not that hard XD its pretty simple. once u get the hang if it you can do many other DIY calcs urself

[TheMaestro]

ok, if it aint work then its fuckt up 4 you XD


but if you manage to get it working, how it works is like this:


you make a zip map, you put the files from your RAR. file into the zip map, you name ur zip map to whatever u want, u put ur 23andMeDNA file in there or ancestry file whatever.

then you need to make sure it has a DIYDodecad file in there, if it does proceed.

u need to download the R Program, when its done downloading u go to "Change Dir" in the settings, u click ur zip map that u made.

then u do these commands:


('standardize.r')

and then this

standardize('LeBrok.txt', company='23andMe')

then it will load for a while

and then u execute this

system('DIYDodecadWin steppe.par')

its really not that hard XD its pretty simple. once u get the hang if it you can do many other DIY calcs urself

Man, I have to hit bong because of this :D

[Congolese Rice]

aye, if you take my ssa, and little "middle-eastern" that I have, it may look pseudo north african to some oracles.

it could yeah indeed. we have kinda similar results in some way only that u score 3% more west asian on k13 than i do, and more west med and also a tad more east med and yet u score more MENA pops than i do XD i have 21% SSA ancestry.


i personally find the K13 test kind of weird for mixed people.


it gives you a oracle of 11 so i wouldnt take it too seriously tbh, it used to give me a oracle of 7-8, now it gives me a oracle of 6. still not close.


for mixed ppl i'd recommend dodecad, MDLP, and if your interested in ancient tests then i'd do gedrosia. they have interesting tests haha


can you post your gedrosia K12 or africa9 dodecad? just curioys

[Kriptc06]

it could yeah indeed. we have kinda similar results in some way only that u score 3% more west asian on k13 than i do, and more west med and also a tad more east med and yet u score more MENA pops than i do XD i have 21% SSA ancestry.


i personally find the K13 test kind of weird for mixed people.


it gives you a oracle of 11 so i wouldnt take it too seriously tbh, it used to give me a oracle of 7-8, now it gives me a oracle of 6. still not close.


for mixed ppl i'd recommend dodecad, MDLP, and if your interested in ancient tests then i'd do gedrosia. they have interesting tests haha


can you post your gedrosia K12 or africa9 dodecad? just curioys

I agree with you on the bold part. I'll PM you the calc results, I dont want to derail this thread :thumb001:

[TheMaestro]

I agree with you on the bold part. I'll PM you the calc results, I dont want to derail this thread :thumb001:

How did you download the R program?

[Congolese Rice]

I agree with you on the bold part. I'll PM you the calc results, I dont want to derail this thread :thumb001:

Ok m8, go ahead XD im curious to see what a fellow latino scores. I wanna see how similar our results are since you also score a good chunk of northern european if im not mistaken haha

[Congolese Rice]

How did you download the R program?

https://www.eupedia.com/forum/threads/32855-Post-your-Eurogenes-Steppe-K10

^ if im not mistaken everything you need should be on this thread. if it isnt ill be happy to help lol

[Kriptc06]

How did you download the R program?

from here mate

https://www.r-project.org/

[TheMaestro]

https://www.eupedia.com/forum/threads/32855-Post-your-Eurogenes-Steppe-K10

^ if im not mistaken everything you need should be on this thread. if it isnt ill be happy to help lol

Hey there!

It appears that you've exceeded the maximum number of posts you can view, but wait, there's a simple solution. To unlock the forum and continue viewing messages, all you need to do is sign up for a free account. The entire process takes just a few minutes so create your account now and view as many threads as you like!

Already a member? Login at the top of this page to stop seeing this message.

OMEGALUL

[TheMaestro]

from here mate

https://www.r-project.org/

R-3.0.0.tar.gz ?

[Kriptc06]

R-3.0.0.tar.gz ?

https://cran.r-project.org/bin/windows/base/old/3.4.3/

[Token]

lol, you could easily have berber ancestry yeah. its weird though, west asian + red sea ur only 8% mideast combined, so maybe the berber component gets sucked into west med and east med, as i suspected lol

His West Eurasian ancestry is entirely southern European, you are confusing ENF input with recent Near Eastern ancestry.

[TheMaestro]

ok, if it aint work then its fuckt up 4 you XD


but if you manage to get it working, how it works is like this:


you make a zip map, you put the files from your RAR. file into the zip map, you name ur zip map to whatever u want, u put ur 23andMeDNA file in there or ancestry file whatever.

then you need to make sure it has a DIYDodecad file in there, if it does proceed.

u need to download the R Program, when its done downloading u go to "Change Dir" in the settings, u click ur zip map that u made.

then u do these commands:


('standardize.r')

and then this

standardize('LeBrok.txt', company='23andMe')

then it will load for a while

and then u execute this

system('DIYDodecadWin steppe.par')

its really not that hard XD its pretty simple. once u get the hang if it you can do many other DIY calcs urself

Where is the zip map ? :D And which rar. file you are talking about? :D Dude I dont get those walkthroughs :D

[Congolese Rice]

His West Eurasian ancestry is entirely southern European, you are confusing ENF input with recent Near Eastern ancestry.

Meh it could, i dont know how southern european ancestry works. eitherway his K13 shows him to have berber admix, on gedrosia K12 he has double the sw asian i have. 10% or so, and also a tad more caucasus, i do score more balochi than he does on that test.


Heck i dont know, all i do know is that its easier to seperate MENA from nw euro than it is from southern euro.

[Congolese Rice]

Where is the zip map ? :D And which rar. file you are talking about? :D Dude I dont get those walkthroughs :D

i mean if u download a calculator, and ur using WinRAR to do it, then you have to create a zip.map and put your calculator files in your created zip file.

[TheMaestro]

i mean if u download a calculator, and ur using WinRAR to do it, then you have to create a zip.map and put your calculator files in your created zip file.

What zip map, you know what, let it be... :D Thx anyways.

[Congolese Rice]

What zip map, you know what, let it be... :D Thx anyways.

nu problem. atleast we tried lol.

this R program shit is complicated so i dont judge you XD

[TheMaestro]

nu problem. atleast we tried lol.

this R program shit is complicated so i dont judge you XD

Yeah I cant even open the zip on "change dir" shit, idk why I even get into these things, gedmatch is chill :D

[Congolese Rice]

Yeah I cant even open the zip on "change dir" shit, idk why I even get into these things, gedmatch is chill :D

jup, at first i didnt know shit. best to do is just look up a tutorial to look exactly how it's done.


lets say you use winRAR to open downloaded files.


u have the winrar file here with the calculator in it and with all files except ur DNA.


u make a zip file urself, you create a zip map and you rename it to the calculator's name.


you copy the files out the winrar file, and you paste them into the zip file, then you put your raw DNA in the zip map too.


that's all really, you should save the zip map in a folder u can easily find it. like in pictures, or documents.


on the R program u just go to "change dir" say you have it saved in "documents" you click on documents, you find the zip folder. and you open it. thats all XD

and then you just execute the commands, and edit them to the calculator file's names.

[TheMaestro]

jup, at first i didnt know shit. best to do is just look up a tutorial to look exactly how it's done.


lets say you use winRAR to open downloaded files.


u have the winrar file here with the calculator in it and with all files except ur DNA.


u make a zip file urself, you create a zip map and you rename it to the calculator's name.


you copy the files out the winrar file, and you paste them into the zip file, then you put your raw DNA in the zip map too.


that's all really, you should save the zip map in a folder u can easily find it. like in pictures, or documents.


on the R program u just go to "change dir" say you have it saved in "documents" you click on documents, you find the zip folder. and you open it. thats all XD

and then you just execute the commands, and edit them to the calculator file's names.

I don't know dude until today what is this DNA zip map

I created a folder where I uploaded myHeritage data + the steppe folder together, but it wont show up on the R program.

https://i.imgur.com/zTT4cTy.jpg

[Congolese Rice]

I don't know dude until today what is this DNA zip map

I created a folder where I uploaded myHeritage data + the steppe folder together, but it wont show up on the R program.

https://i.imgur.com/zTT4cTy.jpg

is that really a zip folder?? looks like its still opened with winRAR.. if you save it as a normal folder without the winRAR shits then the R program will be able to see it. as long as its a winrar folder it wont be picked up on by the R program, which is also something i noticed myself

[TheMaestro]

is that really a zip folder?? looks like its still opened with winRAR.. if you save it as a normal folder without the winRAR shits then the R program will be able to see it. as long as its a winrar folder it wont be picked up on by the R program, which is also something i noticed myself

Yeah I downloaded winzip and saved it. And it doesn't work, this thing is legit making me mad.

[Congolese Rice]

Yeah I downloaded winzip and saved it. And it doesn't work, this thing is legit making me mad.

XDDD winzip, isnt that just another version of winRAR? XDDDD you have to use your standard computer's zip folder, not that of winrar, so if you can find a way to open the original zip folder from your own computer and not winzip or winrar then itll work

[TheMaestro]

XDDD winzip, isnt that just another version of winRAR? XDDDD you have to use your standard computer's zip folder, not that of winrar, so if you can find a way to open the original zip folder from your own computer and not winzip or winrar then itll work

Dude I am anti-PC pro :D Don't laugh. Anyways I did it and it still won't show up.

https://i.imgur.com/1OJunqb.jpg

None of those 2 even show up.

[Congolese Rice]

Dude I am anti-PC pro :D Don't laugh. Anyways I did it and it still won't show up.

https://i.imgur.com/1OJunqb.jpg

None of those 2 even show up.

well thats shit bruh XD u could try looking for a tutorial if u care enough or ask someone with more knowledge on those type of problems, cuz i also have winRAR but i have none of those problems XD its kinda weird

[TheMaestro]

well thats shit bruh XD u could try looking for a tutorial if u care enough or ask someone with more knowledge on those type of problems, cuz i also have winRAR but i have none of those problems XD its kinda weird

Let's concenrate on more important things, pass some weed bro xD

[Congolese Rice]

Let's concenrate on more important things, pass some weed bro xD

sure bruddah

https://images.rapgenius.com/7052ff75f053ca9cc3e13e6db60fcf4f.275x183x1.jpg

[TheMaestro]

sure bruddah

https://images.rapgenius.com/7052ff75f053ca9cc3e13e6db60fcf4f.275x183x1.jpg

https://i.imgur.com/GO5Y2ej.gif

[Babak]

This calc is trash though. Palestinians and Afghans don't score about the same amount of Steppe xD

Pashtuns score more Steppe than Kurds. I'm not sure if this average is Afghan or Pakistani Pashtun, but it scores more than the Kurdish average

"distance%=1.3335"

Pashtun

Sappali_Tepe_BA,35
Shahr_I_Sokhta_BA3,34.6
Sintashta_MLBA,26.2
Han,2.8
Nganassan,1.4


"distance%=1.2185"

Kurdish

Hajji_Firuz_ChL,52.4
Sappali_Tepe_BA,20.2
Sintashta_MLBA,15
Levant_BA,11
Han,1.4

Heres one for Iranians:

Iranians

66.9% Iran_ChL
24.6% Steppe_MLBA
5.6% Kharia
1.9% She
1.0% Yoruba

distance=4.9775

[Impaler]

Can you post your k13?

Near East K13 or Eurogenes K13?

[Thambi]

Heres one for Iranians:

Iranians

66.9% Iran_ChL
24.6% Steppe_MLBA
5.6% Kharia
1.9% She
1.0% Yoruba

distance=4.9775

the distance is pretty high. Can you model with ancient levant, hajji ferouz, sappali tepe populations similar to the ones used for kurdish? Anything below a distance of 2 should be pretty good.

[Congolese Rice]

Near East K13 or Eurogenes K13?

prolly ur eurogenes K13. ppl dont ask for near east K13 because eurogenes is their savior XDD

[Babak]

the distance is pretty high. Can you model with ancient levant, hajji ferouz, sappali tepe populations similar to the ones used for kurdish? Anything below a distance of 2 should be pretty good.Idk how lol

Sent from my ONEPLUS A5010 using Tapatalk

[Babak]

prolly ur eurogenes K13. ppl dont ask for near east K13 because eurogenes is their savior XDDWell eurogenes is pretty accurate tbh

Sent from my ONEPLUS A5010 using Tapatalk

[Congolese Rice]

Well eurogenes is pretty accurate tbh

Sent from my ONEPLUS A5010 using Tapatalk

for some people its accurate yeah, i recently talked to a brazilian who thought otherwise because it gave him too high oracles and wrong pops, he even scored maghrebi pops in eurogenes K13 whilst our middle eastern percentages were almost alike. and he also said he was 75-76% european or so.

imo eurogenes sucks, it gives me danish and north german for my european pops XD then again every test sucks for my european ancestry because no damn test can ever be consistent for me lol

[Impaler]

Well eurogenes is pretty accurate tbh

Sent from my ONEPLUS A5010 using Tapatalk

This is my Eurogenes K13. I am very mixed here, I don't know what I am, haha.

Admix Results (sorted):

# Population Percent
1 North_Atlantic 23.9
2 East_Med 23.76
3 Baltic 18.27
4 West_Asian 13.02
5 West_Med 10.41
6 South_Asian 6.78
7 Siberian 1.55
8 East_Asian 0.7
9 Red_Sea 0.63
10 Sub-Saharan 0.52
11 Northeast_African 0.34
12 Oceanian 0.11

Single Population Sharing:

# Population (source) Distance
1 Bulgarian 11.18
2 Romanian 11.28
3 Greek_Thessaly 12
4 Serbian 13.83
5 Italian_Abruzzo 14.86
6 Central_Greek 16.31
7 Tuscan 16.42
8 West_Sicilian 17.02
9 East_Sicilian 17.15
10 Ashkenazi 17.43
11 North_Italian 18.63
12 Moldavian 19.08
13 South_Italian 19.59
14 Hungarian 19.69
15 Croatian 21.68
16 Austrian 22.04
17 West_German 23.12
18 French 23.3
19 Sephardic_Jewish 23.54
20 Italian_Jewish 23.92

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 58.9% East_German + 41.1% Iranian_Jewish @ 6.54
2 58.2% East_German + 41.8% Lebanese_Druze @ 6.56
3 61.3% Austrian + 38.7% Iranian_Jewish @ 6.71
4 64.3% Hungarian + 35.7% Iranian_Jewish @ 6.74
5 51.2% North_Swedish + 48.8% Iranian_Jewish @ 6.78
6 63.6% Hungarian + 36.4% Lebanese_Druze @ 6.81
7 50.4% North_Swedish + 49.6% Lebanese_Druze @ 6.83
8 60.6% Austrian + 39.4% Lebanese_Druze @ 6.91
9 52.2% Lebanese_Muslim + 47.8% North_Swedish @ 7.24
10 51.5% Swedish + 48.5% Iranian_Jewish @ 7.28
11 50.7% Swedish + 49.3% Lebanese_Druze @ 7.32
12 59.8% East_German + 40.2% Kurdish_Jewish @ 7.32
13 65.1% Hungarian + 34.9% Kurdish_Jewish @ 7.36
14 51.9% North_Swedish + 48.1% Kurdish_Jewish @ 7.39
15 50.7% North_Swedish + 49.3% Assyrian @ 7.46
16 62.2% Austrian + 37.8% Kurdish_Jewish @ 7.48
17 61.3% Hungarian + 38.7% Lebanese_Muslim @ 7.52
18 52.8% Cyprian + 47.2% North_Swedish @ 7.55
19 64.2% Hungarian + 35.8% Assyrian @ 7.58
20 58.7% East_German + 41.3% Assyrian @ 7.61

[Congolese Rice]

This is my Eurogenes K13. I am very mixed here, I don't know what I am, haha.

Admix Results (sorted):

# Population Percent
1 North_Atlantic 23.9
2 East_Med 23.76
3 Baltic 18.27
4 West_Asian 13.02
5 West_Med 10.41
6 South_Asian 6.78
7 Siberian 1.55
8 East_Asian 0.7
9 Red_Sea 0.63
10 Sub-Saharan 0.52
11 Northeast_African 0.34
12 Oceanian 0.11

Single Population Sharing:

# Population (source) Distance
1 Bulgarian 11.18
2 Romanian 11.28
3 Greek_Thessaly 12
4 Serbian 13.83
5 Italian_Abruzzo 14.86
6 Central_Greek 16.31
7 Tuscan 16.42
8 West_Sicilian 17.02
9 East_Sicilian 17.15
10 Ashkenazi 17.43
11 North_Italian 18.63
12 Moldavian 19.08
13 South_Italian 19.59
14 Hungarian 19.69
15 Croatian 21.68
16 Austrian 22.04
17 West_German 23.12
18 French 23.3
19 Sephardic_Jewish 23.54
20 Italian_Jewish 23.92

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 58.9% East_German + 41.1% Iranian_Jewish @ 6.54
2 58.2% East_German + 41.8% Lebanese_Druze @ 6.56
3 61.3% Austrian + 38.7% Iranian_Jewish @ 6.71
4 64.3% Hungarian + 35.7% Iranian_Jewish @ 6.74
5 51.2% North_Swedish + 48.8% Iranian_Jewish @ 6.78
6 63.6% Hungarian + 36.4% Lebanese_Druze @ 6.81
7 50.4% North_Swedish + 49.6% Lebanese_Druze @ 6.83
8 60.6% Austrian + 39.4% Lebanese_Druze @ 6.91
9 52.2% Lebanese_Muslim + 47.8% North_Swedish @ 7.24
10 51.5% Swedish + 48.5% Iranian_Jewish @ 7.28
11 50.7% Swedish + 49.3% Lebanese_Druze @ 7.32
12 59.8% East_German + 40.2% Kurdish_Jewish @ 7.32
13 65.1% Hungarian + 34.9% Kurdish_Jewish @ 7.36
14 51.9% North_Swedish + 48.1% Kurdish_Jewish @ 7.39
15 50.7% North_Swedish + 49.3% Assyrian @ 7.46
16 62.2% Austrian + 37.8% Kurdish_Jewish @ 7.48
17 61.3% Hungarian + 38.7% Lebanese_Muslim @ 7.52
18 52.8% Cyprian + 47.2% North_Swedish @ 7.55
19 64.2% Hungarian + 35.8% Assyrian @ 7.58
20 58.7% East_German + 41.3% Assyrian @ 7.61


i know what you are xd


roughly half european, and roughly half iranic. it's pretty easy to see by now, even eurogenes K13 tells you that, says enough for me.


pretty cool results tbh, but it doesnt give u many east european pops in the mixed mode XD idk, i find the mixed mode oracles super weird.

[Impaler]

i know what you are xd


roughly half european, and roughly half iranic. it's pretty easy to see by now, even eurogenes K13 tells you that, says enough for me.


pretty cool results tbh, but it doesnt give u many east european pops in the mixed mode XD idk, i find the mixed mode oracles super weird.

Well, 4-oracles gives me weird results, haha.

4-Ancestors Oracles

Using 2 populations approximation:
1 50% Lebanese_Druze +50% North_Swedish @ 7.511621


Using 3 populations approximation:
1 50% East_German +25% Lebanese_Druze +25% Turkmen @ 6.862291


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 Danish + Iranian_Jewish + Lebanese_Druze + Southwest_Finnish @ 6.461216
2 Estonian + Lebanese_Druze + Spanish_Valencia + Turkmen @ 6.476468
3 Ashkenazi + Danish + Hungarian + Iranian_Jewish @ 6.492480
4 Iranian_Jewish + Lebanese_Druze + Southeast_English + Southwest_Finnish @ 6.521392
5 Ashkenazi + Danish + Iranian_Jewish + South_Polish @ 6.541095
6 Iranian_Jewish + Lebanese_Druze + Orcadian + Southwest_Finnish @ 6.548788
7 Danish + Iranian_Jewish + Italian_Jewish + Southwest_Russian @ 6.560558
8 Estonian + Iranian_Jewish + Lebanese_Druze + Southeast_English @ 6.570577
9 Danish + Iranian_Jewish + Italian_Jewish + Kargopol_Russian @ 6.571107
10 Estonian + Lebanese_Druze + Spanish_Cataluna + Turkmen @ 6.574002
11 Ashkenazi + Hungarian + Iranian_Jewish + North_German @ 6.574359
12 Finnish + Iranian_Jewish + Lebanese_Druze + Southeast_English @ 6.605608
13 Ashkenazi + Hungarian + Iranian_Jewish + Swedish @ 6.624003
14 Ashkenazi + Croatian + Danish + Iranian_Jewish @ 6.630161
15 Danish + Iranian_Jewish + Italian_Jewish + Ukrainian_Belgorod @ 6.630640
16 Cyprian + Danish + Iranian_Jewish + Southwest_Finnish @ 6.635033
17 Belorussian + Lebanese_Druze + Spanish_Cataluna + Turkmen @ 6.637668
18 Lebanese_Druze + South_Polish + Southeast_English + Turkmen @ 6.642025
19 Estonian + Iranian_Jewish + Lebanese_Druze + Orcadian @ 6.647355
20 Assyrian + Danish + Lebanese_Druze + Southwest_Finnish @ 6.651128

[Congolese Rice]

Well, 4-oracles gives me weird results, haha.

4-Ancestors Oracles

Using 2 populations approximation:
1 50% Lebanese_Druze +50% North_Swedish @ 7.511621


Using 3 populations approximation:
1 50% East_German +25% Lebanese_Druze +25% Turkmen @ 6.862291


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 Danish + Iranian_Jewish + Lebanese_Druze + Southwest_Finnish @ 6.461216
2 Estonian + Lebanese_Druze + Spanish_Valencia + Turkmen @ 6.476468
3 Ashkenazi + Danish + Hungarian + Iranian_Jewish @ 6.492480
4 Iranian_Jewish + Lebanese_Druze + Southeast_English + Southwest_Finnish @ 6.521392
5 Ashkenazi + Danish + Iranian_Jewish + South_Polish @ 6.541095
6 Iranian_Jewish + Lebanese_Druze + Orcadian + Southwest_Finnish @ 6.548788
7 Danish + Iranian_Jewish + Italian_Jewish + Southwest_Russian @ 6.560558
8 Estonian + Iranian_Jewish + Lebanese_Druze + Southeast_English @ 6.570577
9 Danish + Iranian_Jewish + Italian_Jewish + Kargopol_Russian @ 6.571107
10 Estonian + Lebanese_Druze + Spanish_Cataluna + Turkmen @ 6.574002
11 Ashkenazi + Hungarian + Iranian_Jewish + North_German @ 6.574359
12 Finnish + Iranian_Jewish + Lebanese_Druze + Southeast_English @ 6.605608
13 Ashkenazi + Hungarian + Iranian_Jewish + Swedish @ 6.624003
14 Ashkenazi + Croatian + Danish + Iranian_Jewish @ 6.630161
15 Danish + Iranian_Jewish + Italian_Jewish + Ukrainian_Belgorod @ 6.630640
16 Cyprian + Danish + Iranian_Jewish + Southwest_Finnish @ 6.635033
17 Belorussian + Lebanese_Druze + Spanish_Cataluna + Turkmen @ 6.637668
18 Lebanese_Druze + South_Polish + Southeast_English + Turkmen @ 6.642025
19 Estonian + Iranian_Jewish + Lebanese_Druze + Orcadian @ 6.647355
20 Assyrian + Danish + Lebanese_Druze + Southwest_Finnish @ 6.651128

Loool, well yeah. eurogenes probably isnt best for your european ancestry but it definitely shows you are half european and half non-european. seems legit looking at your ethnic breakdowns on all tests.

[Babak]

Well, 4-oracles gives me weird results, haha.

4-Ancestors Oracles

Using 2 populations approximation:
1 50% Lebanese_Druze +50% North_Swedish @ 7.511621


Using 3 populations approximation:
1 50% East_German +25% Lebanese_Druze +25% Turkmen @ 6.862291


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 Danish + Iranian_Jewish + Lebanese_Druze + Southwest_Finnish @ 6.461216
2 Estonian + Lebanese_Druze + Spanish_Valencia + Turkmen @ 6.476468
3 Ashkenazi + Danish + Hungarian + Iranian_Jewish @ 6.492480
4 Iranian_Jewish + Lebanese_Druze + Southeast_English + Southwest_Finnish @ 6.521392
5 Ashkenazi + Danish + Iranian_Jewish + South_Polish @ 6.541095
6 Iranian_Jewish + Lebanese_Druze + Orcadian + Southwest_Finnish @ 6.548788
7 Danish + Iranian_Jewish + Italian_Jewish + Southwest_Russian @ 6.560558
8 Estonian + Iranian_Jewish + Lebanese_Druze + Southeast_English @ 6.570577
9 Danish + Iranian_Jewish + Italian_Jewish + Kargopol_Russian @ 6.571107
10 Estonian + Lebanese_Druze + Spanish_Cataluna + Turkmen @ 6.574002
11 Ashkenazi + Hungarian + Iranian_Jewish + North_German @ 6.574359
12 Finnish + Iranian_Jewish + Lebanese_Druze + Southeast_English @ 6.605608
13 Ashkenazi + Hungarian + Iranian_Jewish + Swedish @ 6.624003
14 Ashkenazi + Croatian + Danish + Iranian_Jewish @ 6.630161
15 Danish + Iranian_Jewish + Italian_Jewish + Ukrainian_Belgorod @ 6.630640
16 Cyprian + Danish + Iranian_Jewish + Southwest_Finnish @ 6.635033
17 Belorussian + Lebanese_Druze + Spanish_Cataluna + Turkmen @ 6.637668
18 Lebanese_Druze + South_Polish + Southeast_English + Turkmen @ 6.642025
19 Estonian + Iranian_Jewish + Lebanese_Druze + Orcadian @ 6.647355
20 Assyrian + Danish + Lebanese_Druze + Southwest_Finnish @ 6.651128

wtf lol

can i see your k13 eurogenes?

[Impaler]

wtf lol

can i see your k13 eurogenes?

Hahaha, I guess my all GEDmatch calculators are fucked up.


Admix Results (sorted):

# Population Percent
1 North_Atlantic 23.9
2 East_Med 23.76
3 Baltic 18.27
4 West_Asian 13.02
5 West_Med 10.41
6 South_Asian 6.78
7 Siberian 1.55
8 East_Asian 0.7
9 Red_Sea 0.63
10 Sub-Saharan 0.52
11 Northeast_African 0.34
12 Oceanian 0.11

Single Population Sharing:

# Population (source) Distance
1 Bulgarian 11.18
2 Romanian 11.28
3 Greek_Thessaly 12
4 Serbian 13.83
5 Italian_Abruzzo 14.86
6 Central_Greek 16.31
7 Tuscan 16.42
8 West_Sicilian 17.02
9 East_Sicilian 17.15
10 Ashkenazi 17.43
11 North_Italian 18.63
12 Moldavian 19.08
13 South_Italian 19.59
14 Hungarian 19.69
15 Croatian 21.68
16 Austrian 22.04
17 West_German 23.12
18 French 23.3
19 Sephardic_Jewish 23.54
20 Italian_Jewish 23.92

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 58.9% East_German + 41.1% Iranian_Jewish @ 6.54
2 58.2% East_German + 41.8% Lebanese_Druze @ 6.56
3 61.3% Austrian + 38.7% Iranian_Jewish @ 6.71
4 64.3% Hungarian + 35.7% Iranian_Jewish @ 6.74
5 51.2% North_Swedish + 48.8% Iranian_Jewish @ 6.78
6 63.6% Hungarian + 36.4% Lebanese_Druze @ 6.81
7 50.4% North_Swedish + 49.6% Lebanese_Druze @ 6.83
8 60.6% Austrian + 39.4% Lebanese_Druze @ 6.91
9 52.2% Lebanese_Muslim + 47.8% North_Swedish @ 7.24
10 51.5% Swedish + 48.5% Iranian_Jewish @ 7.28
11 50.7% Swedish + 49.3% Lebanese_Druze @ 7.32
12 59.8% East_German + 40.2% Kurdish_Jewish @ 7.32
13 65.1% Hungarian + 34.9% Kurdish_Jewish @ 7.36
14 51.9% North_Swedish + 48.1% Kurdish_Jewish @ 7.39
15 50.7% North_Swedish + 49.3% Assyrian @ 7.46
16 62.2% Austrian + 37.8% Kurdish_Jewish @ 7.48
17 61.3% Hungarian + 38.7% Lebanese_Muslim @ 7.52
18 52.8% Cyprian + 47.2% North_Swedish @ 7.55
19 64.2% Hungarian + 35.8% Assyrian @ 7.58
20 58.7% East_German + 41.3% Assyrian @ 7.61

[Congolese Rice]

Hahaha, I guess my all GEDmatch calculators are fucked up.


Admix Results (sorted):

# Population Percent
1 North_Atlantic 23.9
2 East_Med 23.76
3 Baltic 18.27
4 West_Asian 13.02
5 West_Med 10.41
6 South_Asian 6.78
7 Siberian 1.55
8 East_Asian 0.7
9 Red_Sea 0.63
10 Sub-Saharan 0.52
11 Northeast_African 0.34
12 Oceanian 0.11

Single Population Sharing:

# Population (source) Distance
1 Bulgarian 11.18
2 Romanian 11.28
3 Greek_Thessaly 12
4 Serbian 13.83
5 Italian_Abruzzo 14.86
6 Central_Greek 16.31
7 Tuscan 16.42
8 West_Sicilian 17.02
9 East_Sicilian 17.15
10 Ashkenazi 17.43
11 North_Italian 18.63
12 Moldavian 19.08
13 South_Italian 19.59
14 Hungarian 19.69
15 Croatian 21.68
16 Austrian 22.04
17 West_German 23.12
18 French 23.3
19 Sephardic_Jewish 23.54
20 Italian_Jewish 23.92

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 58.9% East_German + 41.1% Iranian_Jewish @ 6.54
2 58.2% East_German + 41.8% Lebanese_Druze @ 6.56
3 61.3% Austrian + 38.7% Iranian_Jewish @ 6.71
4 64.3% Hungarian + 35.7% Iranian_Jewish @ 6.74
5 51.2% North_Swedish + 48.8% Iranian_Jewish @ 6.78
6 63.6% Hungarian + 36.4% Lebanese_Druze @ 6.81
7 50.4% North_Swedish + 49.6% Lebanese_Druze @ 6.83
8 60.6% Austrian + 39.4% Lebanese_Druze @ 6.91
9 52.2% Lebanese_Muslim + 47.8% North_Swedish @ 7.24
10 51.5% Swedish + 48.5% Iranian_Jewish @ 7.28
11 50.7% Swedish + 49.3% Lebanese_Druze @ 7.32
12 59.8% East_German + 40.2% Kurdish_Jewish @ 7.32
13 65.1% Hungarian + 34.9% Kurdish_Jewish @ 7.36
14 51.9% North_Swedish + 48.1% Kurdish_Jewish @ 7.39
15 50.7% North_Swedish + 49.3% Assyrian @ 7.46
16 62.2% Austrian + 37.8% Kurdish_Jewish @ 7.48
17 61.3% Hungarian + 38.7% Lebanese_Muslim @ 7.52
18 52.8% Cyprian + 47.2% North_Swedish @ 7.55
19 64.2% Hungarian + 35.8% Assyrian @ 7.58
20 58.7% East_German + 41.3% Assyrian @ 7.61

jup, pretty odd results but in some way they make sense, except for your european results those are shitty XD

[Impaler]

jup, pretty odd results but in some way they make sense, except for your european results those are shitty XD

Maybe the v5 of 23andme is screwed. :)

[Babak]

Maybe the v5 of 23andme is screwed. :)

How the fuck did you get iranian jewish lol

[Aren]

Heres one for Iranians:

Iranians

66.9% Iran_ChL
24.6% Steppe_MLBA
5.6% Kharia
1.9% She
1.0% Yoruba

distance=4.9775

Pretty bad fit.

Something like this would be more relevant

"distance%=1.1096"

Iranian_Persian

Sappali_Tepe_BA,41.6
Hajji_Firuz_ChL,20.6
Levant_BA,19
Sintashta_MLBA,14.8
Han,3
Nganassan,1

"distance%=1.2014"

Iranian_Zoroastrian

Sappali_Tepe_BA,37.2
Hajji_Firuz_ChL,28.8
Sintashta_MLBA,19.4
Levant_BA,13.4
Han,1.2

I'm surprised by how much Levantine_BA the Kurdish and Iranian averages get. Maybe pre-Iranic Iranians were quite Levantine shifted.

[Impaler]

How the fuck did you get iranian jewish lol

Hahaha, I do not know. Damn, weird results.

[Impaler]

Pretty bad fit.

Something like this would be more relevant

"distance%=1.1096"

Iranian_Persian

Sappali_Tepe_BA,41.6
Hajji_Firuz_ChL,20.6
Levant_BA,19
Sintashta_MLBA,14.8
Han,3
Nganassan,1

"distance%=1.2014"

Iranian_Zoroastrian

Sappali_Tepe_BA,37.2
Hajji_Firuz_ChL,28.8
Sintashta_MLBA,19.4
Levant_BA,13.4
Han,1.2

I'm surprised by how much Levantine_BA the Kurdish and Iranian averages get. Maybe pre-Iranic Iranians were quite Levantine shifted.

Hey, what's this calculator?

[Babak]

Pretty bad fit.

Something like this would be more relevant

"distance%=1.1096"

Iranian_Persian

Sappali_Tepe_BA,41.6
Hajji_Firuz_ChL,20.6
Levant_BA,19
Sintashta_MLBA,14.8
Han,3
Nganassan,1

"distance%=1.2014"

Iranian_Zoroastrian

Sappali_Tepe_BA,37.2
Hajji_Firuz_ChL,28.8
Sintashta_MLBA,19.4
Levant_BA,13.4
Han,1.2

I'm surprised by how much Levantine_BA the Kurdish and Iranian averages get. Maybe pre-Iranic Iranians were quite Levantine shifted.

Wheres the iranian persian from? I saw a few others with like 25 for steppe from tehran

[Babak]

Bandari:
Iran Chalcolithic: 15%
Iran Neolithic: 65%
Steppe: 15%
Yoruba: 5%

Iranian Lor:
Iran Chalcolithic: 70%
Iran Neolithic: 10%
Steppe: 15%
Han/Onge: 5%

Iranian Mazandarani:
Iran Chalcolithic: 55%
Iran Neolithic: 20%
Steppe: 20%
Han/Onge: 5%

Iranian Persian:
Iran Chalcolithic: 60%
Iran Neolithic: 20%
Steppe 15%
Han/Onge: 5%

Iranian Zoroastrian:
Iran Chalcolithic: 65%
Iran Neolithic: 10%
Steppe 20%
Han/Onge: 5%
these

[Congolese Rice]

lol, look at my gedrosia K12 oracles, still inaccurate as it gives me too much european but this ones interesting XD


Admix Results (sorted):

# Population Percent
1 SINTASHTA_STEPPE_HERDERS 27.71
2 EARLY_EUROPEAN_FARMERS 24.79
3 SUB_SAHARAN 23.56
4 CAUCASUS 8.63
5 SW_ASIAN 5.09
6 BALOCHI 3.96
7 E_AFRICAN 2.23
8 S_INDIAN 1.81
9 E_SIBERIAN 1.09
10 W_SIBERIAN 0.69
11 INDO_TIBETAN 0.24
12 SE_ASIAN 0.2

Single Population Sharing:

# Population (source) Distance
1 Greek 35.26
2 Norwegian 37.56
3 Sicilian 37.73
4 Turks_Istanbul 40.03
5 Turks_Aydin 41.83
6 Russian 41.84
7 Turkmen_Afghan 42.43
8 Turks_Balikesir 43.11
9 Uzbek 43.42
10 Tajik_Pomiri 43.64
11 Kurds_C 44.17
12 Kurds_N 44.95
13 Finnish 45.34
14 Iraqi_Arab_Baghdad 45.48
15 Tajik_Afghan 45.76
16 Uzbek_Afghan 45.89
17 Turks_Adana 46.04
18 Kurds_F 46.12
19 Kurds_E 46.69
20 Iraqi_Chaldeans 46.94

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 72.6% Norwegian + 27.4% Yoruba @ 12.43
2 72.6% Norwegian + 27.4% Esan @ 12.44
3 75.1% Greek + 24.9% Yoruba @ 16.94
4 75.1% Greek + 24.9% Esan @ 16.95
5 71.3% Russian + 28.7% Yoruba @ 18.92
6 71.4% Russian + 28.6% Esan @ 18.93
7 74.8% Sicilian + 25.2% Yoruba @ 21.2
8 74.8% Sicilian + 25.2% Esan @ 21.21
9 69.8% Finnish + 30.2% Yoruba @ 21.59
10 69.9% Finnish + 30.1% Esan @ 21.6
11 68.7% Estonian + 31.3% Yoruba @ 22.76
12 68.7% Estonian + 31.3% Esan @ 22.77
13 68.2% Lithuanian + 31.8% Yoruba @ 23.59
14 68.2% Lithuanian + 31.8% Esan @ 23.61
15 74.7% Turks_Istanbul + 25.3% Yoruba @ 25.38
16 74.7% Turks_Istanbul + 25.3% Esan @ 25.39
17 66% Norwegian + 34% Yemen @ 27.9
18 74.5% Turks_Aydin + 25.5% Yoruba @ 28.01
19 74.5% Turks_Aydin + 25.5% Esan @ 28.01
20 73.7% Turks_Balikesir + 26.3% Yoruba @ 28.5


"17 66% Norwegian + 34% Yemen @ 27.9"


exdeeeee XD


either way, if you're triracial, for example half spanish, quarter amerindian, and quarter nigerian, your amerindian will get counted up by your european or african still XD

you wont score "50% spanish + 25% yoruban" obviously, you will score "75% spanish/latinx + 25% yoruban"

same case in my case, its obvious why i score 71% european because i am 71%> caucasoid lol, very interesting tbh

[Congolese Rice]

A triracial puerto rican's mixed oracle results for gedrosia K12, he's 35-40% european btw XDD


Kit M380444

Admix Results (sorted):

# Population Percent
1 SUB_SAHARAN 25.96
2 EARLY_EUROPEAN_FARMERS 21.05
3 SINTASHTA_STEPPE_HERDERS 16.91
4 CAUCASUS 9.19
5 SW_ASIAN 7.94
6 E_AFRICAN 4.45
7 E_SIBERIAN 4.38
8 S_INDIAN 2.85
9 BALOCHI 2.82
10 W_SIBERIAN 2.53
11 SE_ASIAN 1.92

Single Population Sharing:

# Population (source) Distance
1 Greek 38.15
2 Sicilian 38.47
3 Turks_Istanbul 39.33
4 Turks_Aydin 39.73
5 Turkmen_Afghan 40.3
6 Uzbek 41.01
7 Turks_Balikesir 41.6
8 Kurds_C 41.94
9 Iraqi_Arab_Baghdad 42.3
10 Kurds_N 42.75
11 Turks_Adana 43.02
12 Kurds_F 43.36
13 Tajik_Afghan 43.56
14 Uzbek_Afghan 44.05
15 Iraqi_Chaldeans 44.13
16 Kurds_E 44.26
17 Turks_Kayseri 44.55
18 Iraqi_Jew 44.8
19 Tajik_Pomiri 44.99
20 Jordanian 45.06

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 71.3% Greek + 28.7% Yoruba @ 13.54
2 71.3% Greek + 28.7% Esan @ 13.55
3 71.4% Sicilian + 28.6% Yoruba @ 15.18
4 71.4% Sicilian + 28.6% Esan @ 15.19
5 71.6% Turks_Istanbul + 28.4% Yoruba @ 18.54
6 71.7% Turks_Istanbul + 28.3% Esan @ 18.55
7 71.8% Turks_Aydin + 28.2% Yoruba @ 19.98
8 71.8% Turks_Aydin + 28.2% Esan @ 19.99
9 70.9% Turks_Balikesir + 29.1% Yoruba @ 21.24
10 70.9% Turks_Balikesir + 29.1% Esan @ 21.25
11 67.1% Norwegian + 32.9% Yoruba @ 22.11
12 67.1% Norwegian + 32.9% Esan @ 22.13
13 72.3% Turkmen_Afghan + 27.7% Yoruba @ 22.99
14 72.4% Turkmen_Afghan + 27.6% Esan @ 23
15 71.2% Kurds_C + 28.8% Yoruba @ 23.12
16 71.2% Kurds_C + 28.8% Esan @ 23.13
17 70.6% Turks_Adana + 29.4% Yoruba @ 23.53
18 70.6% Turks_Adana + 29.4% Esan @ 23.54
19 70.8% Kurds_N + 29.2% Yoruba @ 23.63
20 70.8% Kurds_N + 29.2% Esan @ 23.64


XDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD

i bet aren is sad right now

[Congolese Rice]

also his eurogenes K13 mixed oracles if anyone is interested


this guy is roughly the same amount of moor/MENA i am, roughly 10% more amerindian than than that i am, and roughly 15-20% less european.



Kit M380444

Admix Results (sorted):

# Population Percent
1 Sub-Saharan 25.71
2 North_Atlantic 23.32
3 West_Med 13.43
4 Amerindian 12.93
5 East_Med 7.46
6 Baltic 5.88
7 Northeast_African 4.43
8 Red_Sea 3.28
9 West_Asian 2.18
10 South_Asian 1.38

Single Population Sharing:

# Population (source) Distance
1 Mozabite_Berber 34.02
2 Algerian 34.97
3 Tunisian 35.75
4 Spanish_Extremadura 36.87
5 Portuguese 36.91
6 Moroccan 37.06
7 Spanish_Galicia 37.1
8 Spanish_Murcia 37.72
9 North_Italian 37.94
10 Spanish_Castilla_Y_Leon 37.96
11 Tuscan 38.31
12 Spanish_Cataluna 38.52
13 Spanish_Andalucia 38.63
14 West_Sicilian 38.78
15 Spanish_Valencia 38.79
16 Romanian 38.96
17 French 38.98
18 Spanish_Castilla_La_Mancha 39.04
19 Greek_Thessaly 39.16
20 Spanish_Cantabria 39.16

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 68.3% Spanish_Extremadura + 31.7% Bantu_S.E. @ 15.57
2 68.8% Spanish_Extremadura + 31.2% Bantu_S.W. @ 15.63
3 68.3% Portuguese + 31.7% Bantu_S.E. @ 15.65
4 68.8% Portuguese + 31.2% Bantu_S.W. @ 15.68
5 67% Spanish_Extremadura + 33% Biaka_Pygmy @ 15.71
6 67.8% Spanish_Murcia + 32.2% Bantu_S.E. @ 15.79
7 68.2% Spanish_Murcia + 31.8% Bantu_S.W. @ 15.84
8 67% Portuguese + 33% Biaka_Pygmy @ 15.85
9 69.6% Portuguese + 30.4% Mandenka @ 15.89
10 69.7% Spanish_Extremadura + 30.3% Mandenka @ 15.9
11 68.3% Spanish_Galicia + 31.7% Bantu_S.E. @ 15.9
12 65.1% Spanish_Extremadura + 34.9% Bantu_N.E. @ 15.92
13 66.4% Spanish_Murcia + 33.6% Biaka_Pygmy @ 15.93
14 68.7% Spanish_Galicia + 31.3% Bantu_S.W. @ 15.95
15 66.9% Spanish_Galicia + 33.1% Biaka_Pygmy @ 16.03
16 65.6% Spanish_Extremadura + 34.4% Luhya @ 16.04
17 67.7% Spanish_Castilla_Y_Leon + 32.3% Bantu_S.E. @ 16.07
18 69.1% Spanish_Murcia + 30.9% Mandenka @ 16.08
19 65.1% Portuguese + 34.9% Bantu_N.E. @ 16.1
20 68.1% Spanish_Castilla_Y_Leon + 31.9% Bantu_S.W. @ 16.11

[Aren]

XDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD

i bet aren is sad right now
Why would I be sad? What does this have to do with you?

Me and everyone else on this forum who have seen your Gedmatch results already know what your ancestry is, you simply don't have MENA at all. Everyone knows this, it's not up for discussion.

[Congolese Rice]

Why would I be sad? What does this have to do with you?

Me and everyone else on this forum who have seen your Gedmatch results already know what your ancestry is, you simply don't have MENA at all. Everyone knows this, it's not up for discussion.

who is everyone else?


Myanthropologies thinks i have MENA, StonyArabia does, Mashail does, impaler probably does too, im not sure about rein's opinion but probably same. and very likely another greek member of which i forgot his name. Also Babak.


who's everyone? XD you clearly are the delusional fella here. thinking i am 71% dutch and quadroon is the funny part here.
XDDD but your right, it's not up for discussion i just found it funny how at the hand of mixed oracles you think you can indicate ancestry XDD

is this guy 71% spanish? no he isnt.

XDDDDDD boiii soo funny. good try though ill give you that

[Congolese Rice]

Why would I be sad? What does this have to do with you?

Me and everyone else on this forum who have seen your Gedmatch results already know what your ancestry is, you simply don't have MENA at all. Everyone knows this, it's not up for discussion.

i thought assyrian people were supposed to be atleast somewhat intelligent XD disappointed again, seems to be something your good at

[Aren]

who is everyone else?


Myanthropologies thinks i have MENA, StonyArabia does, Mashail does, impaler probably does too, im not sure about rein's opinion but probably same. and very likely another greek member of which i forgot his name. Also Babak.


who's everyone? XD you clearly are the delusional fella here. thinking i am 71% dutch and quadroon is the funny part here.
XDDD but your right, it's not up for discussion i just found it funny how at the hand of mixed oracles you think you can indicate ancestry XDD

is this guy 71% spanish? no he isnt.

XDDDDDD boiii soo funny. good try though ill give you that

I'm not naming anyone. But you are alone.

Why would he be 71% Spanish? He scores SSA + Amerindian alone more than 35% so how is that possible? Maybe you are so dumb that you can't even understand how bad the fit is. You on the other hand get a good fit with 71% Dutch.

[Aren]

i thought assyrian people were supposed to be atleast somewhat intelligent XD disappointed again, seems to be something your good at

I'm laughing my ass off, that's why am I doing this niggrah. Never met anyone this dishonest before, the fact that you've managed to keep lying to yourself for this long is quite impressive.

[Congolese Rice]

I'm not naming anyone. But you are alone.

Why would he be 71% Spanish? He scores SSA + Amerindian alone more than 35% so how is that possible? Maybe you are so dumb that you can't even understand how bad the fit is. You on the other hand get a good fit with 71% Dutch.

XDDD his fit and i fit are exactly the same. he is rendered as 71% spanish, i am rendered as 71% dutch, both are bad fits because i am not 71% dutch, or european for that matter.


you calling me dumb only reflects back onto you cuz its the same case.


And you cant name anyone because its only you, alessio, and grundig, maybe token if you wanna include him <3 you can clearly see he gets the same mixed oracle response as i does, he's nowhere near 71% european, not even 50% european, yet he's rendered as 71% spanish, i am nowhere near 70% european, but 50% european, i am rendered as 71% nw euro XDDD same case different people.


gg ezzzzzzzzz so much for intelligence XDDDDDDDDDDDDDD

trust me, i dont have to convince you that i have MENA because frankly i dont care. its just funny how you think mixed oracles are accurate for triracials, as if this person is any different case than that i am. yes he's very mixed, quadracial even, i am triracial and i have the same results as he does XD explain that one. you cant, there's nothing up for debate no XD i am just correct.

adiossaaa lololololo

[Congolese Rice]

I'm laughing my ass off, that's why am I doing this niggrah. Never met anyone this dishonest before, the fact that you've managed to keep lying to yourself for this long is quite impressive.

fun fact, i am the most honest person you'll ever meet XD your being dishonest by thinking you can write my ethnicity for me and call me 71% dutch and quadroon. you give the puerto rican the benefit of the doubt but you completely shut down any evidence leading to me being quarter mena XD it's easily seen in my results.

50% european + 21-23% MENA = 73% caucasoid, which is rendered as 71-73% european in mixed oracle XDDDDD my asian gets counted up by my SSA which is 25% + 5% = 30%, or 25% + 4% = 29%, you are really a funny man.

[Aren]

fun fact, i am the most honest person you'll ever meet XD your being dishonest by thinking you can write my ethnicity for me and call me 71% dutch and quadroon. you give the puerto rican the benefit of the doubt but you completely shut down any evidence leading to me being quarter mena XD it's easily seen in my results.

50% european + 21-23% MENA = 73% caucasoid, which is rendered as 71-73% european in mixed oracle XDDDDD my asian gets counted up by my SSA which is 25% + 5% = 30%, or 25% + 4% = 29%, you are really a funny man.

I'm trying to figure out why this Puerto Rican guys results matter to your case but I guess the only way for me to totally understand how your mind works is if I smash my head against a wall for atleast an hour.

[Congolese Rice]

I'm trying to figure out why this Puerto Rican guys results matter to your case but I guess the only way for me to totally understand how your mind works is if I smash my head against a wall for atleast an hour.

you should try that yeah XD its a recommendation from me 2 you


and the reason why it "matters" is because he's also mixed, and he scores 71% european also, just like me. i dont see how his fit is any more less accurate than mine is if we are both triracial. you think his fit sucks ass yet my fit is the best XD i am far from dutch. i dont think theres a way how i am 70% dutch. maybe i should try your method to try to understand how you think thats accurate XD

agree to disagree

[Aren]

you should try that yeah XD its a recommendation from me 2 you


and the reason why it "matters" is because he's also mixed, and he scores 71% european also, just like me. i dont see how his fit is any more less accurate than mine is if we are both triracial. you think his fit sucks ass yet my fit is the best XD i am far from dutch. i dont think theres a way how i am 70% dutch. maybe i should try your method to try to understand how you think thats accurate XD



Hmm, maybe just smashing my head against a wall might not make me fully understand how your mind works. Drinking gasoline and then smashing my head against a wall. Yeah that will do it for sure.

[Congolese Rice]

Hmm, maybe just smashing my head against a wall might not make me fully understand how your mind works. Drinking gasoline and then smashing my head against a wall. Yeah that will do it for sure.

maybe throw some bleach in there too. i heard it works magic for people like you XD

[Aren]

maybe throw some bleach in there too. i heard it works magic for people like you XD

This discussion in a nutshell

You: "The earth is flat"
Me: "No it's not, here's proof"
You: "Agree to disagree"

[Congolese Rice]

This discussion in a nutshell

You: "The earth is flat"
Me: "No it's not, here's proof"
You: "Agree to disagree"

its exactly the opposite XD im the one with proof and evidence and your just the one who thinks my K13 mixed oracle is "proof" of me being 70% dutch XDDD its quite hilarious actually. you really have no clue on how gedmatch works.

Since when does west asian and arab ancestry gets counted up by european just because europeans also score it? XD i have more proof that i have mena ancestry than there is otherwise.

post all your evidence you have and ill tell you whether its true or not XD as far as i know my dad wasnt a dutch man, he was born in america, pennsylvania, mainly of german and irish + french background. nothing dutch about it.

you dont know my dad lol

[rein]

Near_Eastern 37.91%
Steppe 21.42%
WHG-UHG 20.29%
Hundu_Kush 10.94%
Siberian 4.49%
Sub-Saharan 3.4%
Amerindian 0.88%
SouthEast_Asian 0.67%
Oceanian 0.01%

[Congolese Rice]

Near_Eastern 37.91%
Steppe 21.42%
WHG-UHG 20.29%
Hundu_Kush 10.94%
Siberian 4.49%
Sub-Saharan 3.4%
Amerindian 0.88%
SouthEast_Asian 0.67%
Oceanian 0.01%

nice results bruddah XD

yeh ur right, it roughly gives you 50% near eastern or so, with hindu kush combined

[rein]

What zip map, you know what, let it be... :D Thx anyways.

Have you connected the piezoelectric sensor to your laptop?

[Congolese Rice]

Have you connected the piezoelectric sensor to your laptop?

XDDD

[rein]

nice results bruddah XD

yeh ur right, it roughly gives you 50% near eastern or so, with hindu kush combined

Yep and some distant SSA admixture on the near eastern side.

[Congolese Rice]

Yep and some distant SSA admixture on the near eastern side.

jup thats true XD how accurate would you say your results are if you put it in ethnic breakdown perspective? like how much near eastern you should roughly be etc etc.


i personally think this test is pretty good, i think 5% should be removed from my near eastern, 4% from my SSA to my berber, and then we get exactly 21% MENA or so, my hindu kush is probably also part of my european as it's also partially steppe, so makes sense.