Post your DNA Genics World K5 results (Admixture studio)

**knez01** · 06-01-2020, 07:28 PM

3.68% AMERINDIAN-SIBERIAN
0.14% ASIAN
93.58% EUROPEAN
2.07% WEST-ASIAN
0.53% AFRICAN

--------------------------------

Mixed Mode:
1 87,89% UtahWhite + 12,11% AshkenazyJews_Romanian_Jew @ 0,121
2 80,08% Sweden + 19,92% Sicily @ 0,133
3 93,36% UtahWhite + 6,64% TunisiaJew @ 0,210
4 89,45% UtahWhite + 10,55% FranceJew @ 0,210
5 93,36% UtahWhite + 6,64% LibyaJew @ 0,211
6 91,02% UtahWhite + 8,98% ItalyJew @ 0,223
7 73,05% Orcadian + 26,95% Sicily @ 0,228
8 90,23% UtahWhite + 9,77% MoroccanJews @ 0,234
9 98,05% Pole + 1,95% Mozabite @ 0,236
10 93,36% UtahWhite + 6,64% AlgeriaJew @ 0,243

Least-squares method.

Using 1 populations approximation
1 100% Pole @ 0,625
2 100% UtahWhite @ 0,896
3 100% Croat @ 1,079
4 100% Sweden @ 1,368
5 100% GreatBritain @ 1,500
6 100% Bulgarians @ 1,880
7 100% Orcadian @ 1,986
8 100% Macedonian @ 2,015
9 100% Serb @ 2,026
10 100% Pole @ 2,110

Using 2 populations approximation
1 50% Belorussian + 50% Italian_North @ 0,522
2 50% Pole + 50% Pole @ 0,625
3 50% Orcadian + 50% Montenegran @ 0,629
4 50% Lithuanians + 50% Serb @ 0,632
5 50% Orcadian + 50% Macedonian @ 0,644
6 50% Pole + 50% UtahWhite @ 0,652
7 50% Pole + 50% Serb @ 0,669
8 50% Sweden + 50% Bulgarians @ 0,691
9 50% Bulgarians + 50% Orcadian @ 0,700
10 50% Sweden + 50% Macedonian @ 0,742

Using 3 populations approximation
1 33% GreatBritain + 33% Orcadian + 33% Serb @ 0,456
2 33% Sweden + 33% GreatBritain + 33% Serb @ 0,502
3 33% Orcadian + 33% Orcadian + 33% Sicily @ 0,518
4 33% Orcadian + 33% Orcadian + 33% Italian_South @ 0,532
5 33% UtahWhite + 33% Sweden + 33% Montenegran @ 0,557
6 33% GreatBritain + 33% Orcadian + 33% Italian_South @ 0,557
7 33% UtahWhite + 33% UtahWhite + 33% Bulgarians @ 0,558
8 33% GreatBritain + 33% Orcadian + 33% Kosovar @ 0,560
9 33% Sweden + 33% Sweden + 33% Montenegran @ 0,568
10 33% Orcadian + 33% Orcadian + 33% Kosovar @ 0,572

Using 4 populations approximation
1 25% Orcadian + 25% Orcadian + 25% Orcadian + 25% Sicily @ 0,270
2 25% Sweden + 25% Sweden + 25% Sweden + 25% Sicily @ 0,341
3 25% Sweden + 25% Sweden + 25% GreatBritain + 25% Sicily @ 0,461
4 25% Sweden + 25% Sweden + 25% GreatBritain + 25% Serb @ 0,515
5 25% UtahWhite + 25% UtahWhite + 25% Sweden + 25% Romanians @ 0,517
6 25% Sweden + 25% Sweden + 25% GreatBritain + 25% Italian_South @ 0,528
7 25% UtahWhite + 25% UtahWhite + 25% UtahWhite + 25% Romanians @ 0,528
8 25% UtahWhite + 25% UtahWhite + 25% Sweden + 25% Montenegran @ 0,537
9 25% UtahWhite + 25% UtahWhite + 25% Sweden + 25% Serb @ 0,542
10 25% Serb + 25% Serb + 25% Lithuanians + 25% Italian_North @ 0,543

**Chris596** · 06-01-2020, 08:06 PM

My results

AMERINDIAN-SIBERIAN 2.50
ASIAN 2.69
EUROPEAN 92.54
WEST-ASIAN 1.91
AFRICAN 0.36

Mixed Mode:
1 94.14% Italian_North + 5.86% Hazara @ 0.202
2 93.36% Italian_North + 6.64% Uygur @ 0.231
3 92.58% Italian_North + 7.42% Uzbeks @ 0.343
4 62.89% Sardinian + 37.11% Mordovians @ 0.374
5 89.45% Italian_North + 10.55% Nogais @ 0.405
6 96.48% Pole + 3.52% Nogais @ 0.423
7 98.05% Pole + 1.95% Uygur @ 0.432
8 98.05% Pole + 1.95% Hazara @ 0.439
9 98.05% Pole + 1.95% Uygur @ 0.443
10 98.83% Pole + 1.17% NAN_Melanesian @ 0.443

Least-squares method.

Using 1 populations approximation
1 100% Pole @ 1.491
2 100% Romanians @ 1.902
3 100% Bulgarians @ 1.918
4 100% Moldavian @ 1.936
5 100% Montenegran @ 2.394
6 100% Selkups @ 2.702
7 100% Croat @ 2.714
8 100% Pole @ 2.769
9 100% Macedonian @ 2.809
10 100% Hungarians @ 2.860

Using 2 populations approximation
1 50% Moldavian + 50% Selkups @ 0.680
2 50% Romanians + 50% Selkups @ 0.750
3 50% Pole + 50% Moldavian @ 0.784
4 50% Romanians + 50% Ukranians @ 1.013
5 50% Moldavian + 50% GreatBritain @ 1.043
6 50% Moldavian + 50% Ukranians @ 1.052
7 50% Pole + 50% Romanians @ 1.112
8 50% Moldavian + 50% Pole @ 1.193
9 50% Hungarians + 50% Spaniard @ 1.199
10 50% German + 50% Tuscan @ 1.219

Using 3 populations approximation
1 33% Italian_South + 33% Tuscan + 33% Finn @ 0.183
2 33% Italian_South + 33% Tuscan + 33% Russian @ 0.371
3 33% Romanians + 33% Moldavian + 33% Selkups @ 0.552
4 33% Sicily + 33% French_Basque + 33% Finn @ 0.564
5 33% Italian_South + 33% Italian_North + 33% Finn @ 0.571
6 33% Sicily + 33% French_Basque + 33% Russian @ 0.626
7 33% Moldavian + 33% Moldavian + 33% Selkups @ 0.658
8 33% French_Basque + 33% Sardinian + 33% Mordovians @ 0.676
9 33% Italian_South + 33% Italian_North + 33% Russian @ 0.677
10 33% Sardinian + 33% Sardinian + 33% Mordovians @ 0.696

Using 4 populations approximation
1 25% Moldavian + 25% Moldavian + 25% Selkups + 25% Spaniard @ 0.392
2 25% Italian_North + 25% Italian_North + 25% Sicily + 25% Vep @ 0.409
3 25% French_Basque + 25% French_Basque + 25% AshkenazyJews + 25% Russian @ 0.423
4 25% French_Basque + 25% French_Basque + 25% AshkenazyJews + 25% Finn @ 0.433
5 25% Tuscan + 25% Tuscan + 25% Sicily + 25% Karelian @ 0.585
6 25% French_Basque + 25% French_Basque + 25% AshkenazyJews + 25% Vep @ 0.597
7 25% Moldavian + 25% Moldavian + 25% Selkups + 25% Selkups @ 0.680
8 25% French_Basque + 25% French_Basque + 25% FranceJew + 25% Vep @ 0.709
9 25% Tuscan + 25% Tuscan + 25% Sicily + 25% Vep @ 0.715
10 25% Moldavian + 25% Moldavian + 25% Selkups + 25% Croat @ 0.720

Melanesian?? I noticed that the Melanesian component is unusually high in some calculators. Any idea?

**~~Bosniensis~~** · 06-01-2020, 08:12 PM

Originally Posted by Dušan

Recently updated

Very interesting oracle results:

Mixed Mode:
1 71.48% Romanians + 28.52% Croat @ 0.298
2 57.42% Macedonian + 42.58% Moldavian @ 0.300
3 85.55% Romanians + 14.45% French @ 0.320
4 83.98% Romanians + 16.02% Italian_North @ 0.348
5 58.98% Bulgarians + 41.02% Romanians @ 0.366
6 89.45% Pole + 10.55% Georgian @ 0.370
7 50.39% Moldavian + 49.61% Macedonian @ 0.384
8 50.39% Romanians + 49.61% Bulgarians @ 0.389
9 87.89% Romanians + 12.11% French_Basque @ 0.415
10 98.83% Macedonian + 1.17% Mongol @ 0.421

Least-squares method.

Using 1 populations approximation
1 100% Bulgarians @ 0.695
2 100% Montenegran @ 0.763
3 100% Romanians @ 0.916
4 100% Macedonian @ 1.396
5 100% Gagauz @ 1.587
6 100% Kosovar @ 1.728
7 100% Moldavian @ 1.842
8 100% Pole @ 1.855
9 100% Serb @ 2.096
10 100% Croat @ 2.175

Using 2 populations approximation
1 50% Macedonian + 50% Moldavian @ 0.376
2 50% Bulgarians + 50% Romanians @ 0.387
3 50% Romanians + 50% Macedonian @ 0.540
4 50% Moldavian + 50% Croat @ 0.562
5 50% Montenegran + 50% Romanians @ 0.573
6 50% Bulgarians + 50% Montenegran @ 0.621
7 50% Romanians + 50% Pole @ 0.675
8 50% Bulgarians + 50% Bulgarians @ 0.695
9 50% Romanians + 50% Croat @ 0.710
10 50% Bulgarians + 50% Moldavian @ 0.751

Using 3 populations approximation
1 33% Moldavian + 33% Pole + 33% Serb @ 0.177
2 33% Kosovar + 33% Moldavian + 33% Pole @ 0.190
3 33% Gagauz + 33% Moldavian + 33% Croat @ 0.259
4 33% Montenegran + 33% Romanians + 33% Pole @ 0.304
5 33% Gagauz + 33% Moldavian + 33% Pole @ 0.316
6 33% Gagauz + 33% Moldavian + 33% Pole @ 0.327
7 33% Romanians + 33% Romanians + 33% Croat @ 0.330
8 33% Romanians + 33% Gagauz + 33% Pole @ 0.339
9 33% Montenegran + 33% Macedonian + 33% Moldavian @ 0.380
10 33% Bulgarians + 33% Bulgarians + 33% Romanians @ 0.384

Using 4 populations approximation
1 25% Romanians + 25% Romanians + 25% Macedonian + 25% Pole @ 0.235
2 25% Montenegran + 25% Montenegran + 25% Romanians + 25% Pole @ 0.250
3 25% Gagauz + 25% Gagauz + 25% Moldavian + 25% GreatBritain @ 0.266
4 25% Romanians + 25% Romanians + 25% Gagauz + 25% Pole @ 0.272
5 25% Gagauz + 25% Gagauz + 25% Moldavian + 25% Selkups @ 0.281
6 25% Kosovar + 25% Kosovar + 25% Moldavian + 25% Selkups @ 0.315
7 25% Gagauz + 25% Gagauz + 25% Moldavian + 25% Ukranians @ 0.315
8 25% Romanians + 25% Romanians + 25% Romanians + 25% Croat @ 0.318
9 25% Romanians + 25% Romanians + 25% Gagauz + 25% GreatBritain @ 0.342
10 25% Gagauz + 25% Gagauz + 25% Moldavian + 25% Pole @ 0.344

Post your results

for comparison, here are mine:

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 191 populations found.
5 components mode.

--------------------------------

Mixed Mode:
1 98.83% Kosovar + 1.17% Colombians @ 0.067
2 98.83% Kosovar + 1.17% Karitiana @ 0.067
3 98.83% Kosovar + 1.17% Surui @ 0.067
4 67.58% Croat + 32.42% Greek @ 0.068
5 86.33% Croat + 13.67% IraqiJews @ 0.094
6 98.05% Kosovar + 1.95% Peruvian @ 0.117
7 87.89% Croat + 12.11% IranianJew @ 0.122
8 85.55% Croat + 14.45% KurdJew @ 0.131
9 85.55% Croat + 14.45% AzerbaijaniJews @ 0.133
10 87.11% Croat + 12.89% IranJew @ 0.176

Least-squares method.

Using 1 populations approximation
1 100% Montenegran @ 1.266
2 100% Serb @ 1.304
3 100% Serb @ 1.313
4 100% Bulgarians @ 1.457
5 100% Kosovar @ 1.631
6 100% Macedonian @ 1.642
7 100% Romanians @ 1.791
8 100% Gagauz @ 1.983
9 100% Italian_South @ 2.483
10 100% Pole @ 2.518

Using 2 populations approximation
1 50% Greek + 50% French @ 0.310
2 50% Italian_South + 50% Belorussian @ 0.375
3 50% Serb + 50% Serb @ 0.599
4 50% Italian_South + 50% Hungarians @ 0.609
5 50% Serb + 50% Kosovar @ 0.614
6 50% Serb + 50% Hungarians @ 0.676
7 50% Montenegran + 50% Serb @ 0.690
8 50% Serb + 50% Gagauz @ 0.707
9 50% Serb + 50% Romanians @ 0.740
10 50% Kosovar + 50% Hungarians @ 0.821

Using 3 populations approximation
1 33% Croat + 33% Croat + 33% Greek @ 0.106
2 33% Pole + 33% Croat + 33% Greek @ 0.259
3 33% Serb + 33% Serb + 33% Hungarians @ 0.260
4 33% Serb + 33% Serb + 33% Belorussian @ 0.323
5 33% Kosovar + 33% Kosovar + 33% Belorussian @ 0.375
6 33% Serb + 33% Serb + 33% Romanians @ 0.444
7 33% Serb + 33% Serb + 33% German @ 0.456
8 33% Pole + 33% Pole + 33% Greek @ 0.483
9 33% Pole + 33% UtahWhite + 33% Greek @ 0.489
10 33% Serb + 33% Serb + 33% Sicily @ 0.507

Using 4 populations approximation
1 25% Serb + 25% Serb + 25% Serb + 25% Hungarians @ 0.208
2 25% Italian_South + 25% Italian_South + 25% Hungarians + 25% Belorussian @ 0.268
3 25% Serb + 25% Serb + 25% Serb + 25% German @ 0.289
4 25% Greek + 25% Greek + 25% French + 25% French @ 0.310
5 25% Serb + 25% Serb + 25% Serb + 25% Belorussian @ 0.331
6 25% Serb + 25% Serb + 25% Bulgarians + 25% Sicily @ 0.364
7 25% Serb + 25% Serb + 25% Serb + 25% Sicily @ 0.399
8 25% Serb + 25% Serb + 25% Serb + 25% Hungarians @ 0.418
9 25% Croat + 25% Croat + 25% Belorussian + 25% Cypriots @ 0.419
10 25% Serb + 25% Serb + 25% Bulgarians + 25% Belorussian @ 0.424

**~~Ford~~** · 06-01-2020, 08:22 PM

They must have used the most Vlach shifted Pole in existence as reference.

Component %
AMERINDIAN-SIBERIAN 2,58%
ASIAN 1,36%
EUROPEAN 94,32%
WEST-ASIAN 1,73%

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 191 populations found.
5 components mode.

--------------------------------

Mixed Mode:
1 51,95% French + 48,05% Moldavian @ 0,185
2 50,39% Moldavian + 49,61% French @ 0,248
3 84,77% Pole + 15,23% Italian_North @ 0,284
4 94,14% Italian_North + 5,86% Nogais @ 0,325
5 70,70% Pole + 29,30% Croat @ 0,336
6 96,48% Italian_North + 3,52% Hazara @ 0,362
7 91,02% Pole + 8,98% French_Basque @ 0,385
8 87,11% Pole + 12,89% Tuscan @ 0,397
9 88,67% Pole + 11,33% French @ 0,419
10 96,48% Italian_North + 3,52% Uygur @ 0,432

Least-squares method.

Using 1 populations approximation
1 100% Pole @ 0,579
2 100% Croat @ 1,191
3 100% Pole @ 1,674
4 100% Bulgarians @ 1,755
5 100% Macedonian @ 1,952
6 100% GreatBritain @ 2,036
7 100% UtahWhite @ 2,041
8 100% Montenegran @ 2,240
9 100% Sweden @ 2,518
10 100% Selkups @ 2,644

Using 2 populations approximation
1 50% French + 50% Moldavian @ 0,231
2 50% Pole + 50% Croat @ 0,475
3 50% Romanians + 50% French @ 0,504
4 50% Hungarians + 50% French_Basque @ 0,542
5 50% Pole + 50% Pole @ 0,579
6 50% Italian_North + 50% Moldavian @ 0,697
7 50% French_Basque + 50% German @ 0,720
8 50% Belorussian + 50% Sardinian @ 0,729
9 50% German + 50% Sardinian @ 0,781
10 50% Pole + 50% Pole @ 0,800

Using 3 populations approximation
1 33% Romanians + 33% Pole + 33% Tuscan @ 0,243
2 33% Montenegran + 33% Selkups + 33% Tuscan @ 0,300
3 33% Tuscan + 33% Orcadian + 33% Moldavian @ 0,314
4 33% Pole + 33% Pole + 33% Croat @ 0,342
5 33% Selkups + 33% Romanians + 33% Italian_North @ 0,349
6 33% Gagauz + 33% Tuscan + 33% Ukranians @ 0,373
7 33% Pole + 33% Tuscan + 33% Moldavian @ 0,389
8 33% Italian_North + 33% Tuscan + 33% German @ 0,399
9 33% Tuscan + 33% Lithuanians + 33% Moldavian @ 0,400
10 33% Tuscan + 33% Kosovar + 33% Ukranians @ 0,406

Using 4 populations approximation
1 25% Tuscan + 25% Tuscan + 25% Lithuanians + 25% Hungarians @ 0,274
2 25% Pole + 25% Pole + 25% Pole + 25% Tuscan @ 0,342
3 25% Pole + 25% Pole + 25% Pole + 25% Croat @ 0,342
4 25% Romanians + 25% Romanians + 25% Pole + 25% French_Basque @ 0,358
5 25% Tuscan + 25% Tuscan + 25% Lithuanians + 25% German @ 0,372
6 25% Montenegran + 25% Montenegran + 25% Selkups + 25% French_Basque @ 0,400
7 25% Selkups + 25% Selkups + 25% Gagauz + 25% Tuscan @ 0,412
8 25% Pole + 25% Pole + 25% Pole + 25% Italian_North @ 0,426
9 25% Tuscan + 25% Tuscan + 25% Orcadian + 25% German @ 0,433
10 25% Hungarians + 25% Hungarians + 25% French_Basque + 25% Sardinian @ 0,444

**Impaler** · 06-01-2020, 08:38 PM

Component %
AMERINDIAN-SIBERIAN 1.67%
ASIAN 2.15%
EUROPEAN 84.99%
WEST-ASIAN 10.17%
AFRICAN 1.02%

Mixed Mode:
1 50.39% AshkenazyJews + 49.61% Chechens @ 0.253
2 50.39% Chechens + 49.61% AshkenazyJews @ 0.266
3 58.20% Bulgarians + 41.80% Azeri @ 0.296
4 95.70% Greek + 4.30% Papuan @ 0.326
5 55.86% Sicily + 44.14% Adygei @ 0.390
6 58.98% Montenegran + 41.02% Azeri @ 0.425
7 52.73% Sicily + 47.27% Kumyks @ 0.426
8 95.70% Greek + 4.30% NAN_Melanesian @ 0.438
9 60.55% Romanians + 39.45% Azeri @ 0.440
10 59.77% Chechens + 40.23% AshkenazyJews_Romanian_Jew @ 0.483

Least-squares method.

Using 1 populations approximation
1 100% Druze @ 3.730
2 100% Samaritians @ 3.895
3 100% AshkenazyJews @ 4.550
4 100% Chechens @ 4.646
5 100% SephardicJews @ 4.678
6 100% Greek @ 4.678
7 100% SyriaJew @ 4.782
8 100% Lebanese @ 5.083
9 100% ItalyJew @ 5.419
10 100% Georgian @ 6.056

Using 2 populations approximation
1 50% AshkenazyJews + 50% Chechens @ 0.257
2 50% Italian_North + 50% Azeri @ 0.606
3 50% Azeri + 50% French @ 0.629
4 50% Sicily + 50% Kumyks @ 0.674
5 50% Bosnian + 50% Pole @ 0.792
6 50% Sicily + 50% Ossetian @ 0.850
7 50% Sicily + 50% Balkar @ 0.905
8 50% Syrians + 50% Moldavian @ 0.950
9 50% Kumyks + 50% Italian_South @ 0.983
10 50% Bulgarians + 50% Bosnian @ 1.019

Using 3 populations approximation
1 33% IranJew + 33% Turks + 33% French @ 0.336
2 33% Sardinian + 33% Sardinian + 33% Tajik @ 0.572
3 33% IranJew + 33% Turks + 33% Italian_North @ 0.592
4 33% SephardicJews + 33% Greek + 33% Balkar @ 0.629
5 33% Mordovians + 33% Sicily + 33% UzbekistaniJews @ 0.713
6 33% Greek + 33% SyriaJew + 33% Balkar @ 0.730
7 33% IranJew + 33% Turks + 33% French_Basque @ 0.733
8 33% Cypriots + 33% AshkenazyJews_Romanian_Jew + 33% Adygei @ 0.737
9 33% Greek + 33% Greek + 33% Turks @ 0.788
10 33% AshkenazyJews + 33% SephardicJews + 33% Balkar @ 0.797

Using 4 populations approximation
1 25% AshkenazyJews + 25% AshkenazyJews + 25% Chechens + 25% Chechens @ 0.257
2 25% UzbekistaniJews + 25% UzbekistaniJews + 25% Finn + 25% Spaniard @ 0.416
3 25% UzbekistaniJews + 25% UzbekistaniJews + 25% Karelian + 25% Sardinian @ 0.491
4 25% IranJew + 25% IranJew + 25% Moldavian + 25% Russian @ 0.549
5 25% IranianJew + 25% IranianJew + 25% Serb + 25% Vep @ 0.560
6 25% IranianJew + 25% IranianJew + 25% Serb + 25% Finn @ 0.584
7 25% Italian_North + 25% Italian_North + 25% Azeri + 25% Azeri @ 0.606
8 25% IranJew + 25% IranJew + 25% Moldavian + 25% Finn @ 0.606
9 25% Azeri + 25% Azeri + 25% French + 25% French @ 0.629
10 25% Azeri + 25% Azeri + 25% French + 25% French_Basque @ 0.638

**Chris596** · 06-01-2020, 08:43 PM

Originally Posted by Impaler

Component %
AMERINDIAN-SIBERIAN 1.67%
ASIAN 2.15%
EUROPEAN 84.99%
WEST-ASIAN 10.17%
AFRICAN 1.02%

Wow, so much West-Asian, very interesting, and the populations approximation as well

**oszkar07** · 06-01-2020, 09:20 PM

Component %
AMERINDIAN-SIBERIAN 3.55%
ASIAN 1.12%
EUROPEAN 94.80%
WEST-ASIAN 0.52%
AFRICAN 0.01%

Mixed Mode:
1 51.17% Italian_North + 48.83% Ukranians @ 0.185
2 50.39% Ukranians + 49.61% Italian_North @ 0.196
3 97.27% French + 2.73% Uygur @ 0.198
4 97.27% French + 2.73% Uygur @ 0.251
5 95.70% French + 4.30% Nogais @ 0.267
6 97.27% French + 2.73% Hazara @ 0.273
7 91.02% French + 8.98% Tatar @ 0.277
8 97.27% French + 2.73% Uzbeks @ 0.306
9 57.42% Selkups + 42.58% Italian_North @ 0.307
10 96.48% French + 3.52% Bashkir @ 0.329

Least-squares method.

Using 1 populations approximation
1 100% GreatBritain @ 1.422
2 100% Pole @ 1.775
3 100% UtahWhite @ 1.811
4 100% Selkups @ 1.891
5 100% Pole @ 1.902
6 100% Croat @ 1.918
7 100% Sweden @ 1.959
8 100% French @ 2.037
9 100% Lithuanians @ 2.061
10 100% Pole @ 2.128

Using 2 populations approximation
1 50% Italian_North + 50% Ukranians @ 0.190
2 50% Selkups + 50% Italian_North @ 0.443
3 50% Selkups + 50% French @ 0.597
4 50% French + 50% Ukranians @ 0.732
5 50% Pole + 50% Italian_North @ 0.749
6 50% Pole + 50% French @ 0.755
7 50% Ukranians + 50% French_Basque @ 0.761
8 50% Lithuanians + 50% Italian_North @ 0.772
9 50% Lithuanians + 50% Tuscan @ 0.780
10 50% Pole + 50% Tuscan @ 0.842

Using 3 populations approximation
1 33% Selkups + 33% Croat + 33% French @ 0.318
2 33% Pole + 33% Selkups + 33% French @ 0.324
3 33% Selkups + 33% Pole + 33% Italian_North @ 0.357
4 33% Pole + 33% Pole + 33% Tuscan @ 0.387
5 33% Orcadian + 33% Ukranians + 33% Sardinian @ 0.424
6 33% Selkups + 33% Pole + 33% Tuscan @ 0.430
7 33% Lithuanians + 33% Lithuanians + 33% Tuscan @ 0.449
8 33% GreatBritain + 33% Pole + 33% French @ 0.467
9 33% Selkups + 33% Pole + 33% French_Basque @ 0.472
10 33% Pole + 33% Ukranians + 33% French_Basque @ 0.485

Using 4 populations approximation
1 25% Italian_North + 25% Italian_North + 25% Ukranians + 25% Ukranians @ 0.190
2 25% Selkups + 25% Selkups + 25% Croat + 25% French_Basque @ 0.283
3 25% Selkups + 25% Selkups + 25% Croat + 25% French @ 0.411
4 25% Pole + 25% Pole + 25% Pole + 25% Sardinian @ 0.414
5 25% Selkups + 25% Selkups + 25% Croat + 25% Italian_North @ 0.432
6 25% Pole + 25% Pole + 25% Sweden + 25% Sardinian @ 0.475
7 25% Orcadian + 25% Orcadian + 25% Ukranians + 25% Sardinian @ 0.494
8 25% Lithuanians + 25% Lithuanians + 25% Pole + 25% Sardinian @ 0.498
9 25% Lithuanians + 25% Lithuanians + 25% Lithuanians + 25% Sardinian @ 0.512
10 25% Pole + 25% Pole + 25% Croat + 25% Sardinian @ 0.521

**Beers** · 12-20-2020, 05:48 PM

Mixed Mode:
1 60.55% French + 39.45% Lebanese @ 0.233
2 97.27% Serb + 2.73% AfricanAmerican @ 0.287
3 59.77% FranceJew + 40.23% Orcadian @ 0.355
4 57.42% FranceJew + 42.58% Sweden @ 0.410
5 98.05% Serb + 1.95% Bantu_S @ 0.435
6 98.05% Serb + 1.95% Mbuti @ 0.437
7 98.05% Serb + 1.95% Biaka_Pygmies @ 0.443
8 98.05% Serb + 1.95% Gambian @ 0.444
9 98.05% Serb + 1.95% EsanNigeria @ 0.445
10 98.05% Serb + 1.95% Yoruba @ 0.445

Least-squares method.

Using 1 populations approximation
1 100% Sicily @ 2.554
2 100% Serb @ 2.730
3 100% AshkenazyJews_Romanian_Jew @ 2.779
4 100% Romanians @ 3.034
5 100% Serb @ 3.042
6 100% Kosovar @ 3.095
7 100% Montenegran @ 3.112
8 100% Bulgarians @ 3.364
9 100% Italian_South @ 3.390
10 100% Hungarians @ 3.438

Using 2 populations approximation
1 50% UtahWhite + 50% ItalyJew @ 0.542
2 50% FranceJew + 50% UtahWhite @ 0.667
3 50% ItalyJew + 50% Sweden @ 0.695
4 50% FranceJew + 50% Pole @ 0.715
5 50% ItalyJew + 50% GreatBritain @ 0.736
6 50% FranceJew + 50% Sweden @ 0.784
7 50% Pole + 50% ItalyJew @ 0.807
8 50% Croat + 50% ItalyJew @ 0.830
9 50% FranceJew + 50% GreatBritain @ 0.844
10 50% ItalyJew + 50% Orcadian @ 0.865

Using 3 populations approximation
1 33% Pole + 33% Croat + 33% LibyaJew @ 0.492
2 33% Croat + 33% Croat + 33% AlgeriaJew @ 0.498
3 33% Croat + 33% Croat + 33% LibyaJew @ 0.514
4 33% Pole + 33% Croat + 33% TunisiaJew @ 0.574
5 33% Pole + 33% Pole + 33% LibyaJew @ 0.575
6 33% Pole + 33% Pole + 33% TunisiaJew @ 0.592
7 33% Pole + 33% Croat + 33% AlgeriaJew @ 0.607
8 33% Croat + 33% Croat + 33% TunisiaJew @ 0.648
9 33% Croat + 33% UtahWhite + 33% LibyaJew @ 0.661
10 33% Serb + 33% Serb + 33% MoroccanJews @ 0.684

Using 4 populations approximation
1 25% UtahWhite + 25% UtahWhite + 25% ItalyJew + 25% ItalyJew @ 0.542
2 25% Serb + 25% Serb + 25% Kosovar + 25% TunisiaJew @ 0.566
3 25% Macedonian + 25% Macedonian + 25% Macedonian + 25% Saudis @ 0.596
4 25% Croat + 25% Croat + 25% Croat + 25% Palestinian @ 0.602
5 25% Macedonian + 25% Macedonian + 25% Macedonian + 25% YemeniteJews @ 0.611
6 25% FranceJew + 25% FranceJew + 25% Belorussian + 25% French @ 0.624
7 25% ItalyJew + 25% ItalyJew + 25% Sweden + 25% Spaniard @ 0.638
8 25% FranceJew + 25% FranceJew + 25% Belorussian + 25% Italian_North @ 0.639
9 25% Serb + 25% Serb + 25% Montenegran + 25% TunisiaJew @ 0.640
10 25% Serb + 25% Serb + 25% Kosovar + 25% LibyaJew @ 0.646

**Zoro** · 12-20-2020, 08:01 PM

Originally Posted by Ion Basescul

Definitely not one of the best due to being so low K, but it's still fun to play with.

Not referring to this particular calculator because I don't know how well it's designed but whereas a K5 may not be ideal for oracles because it's hard to distinguish from neighboring groups at low K, but definitely 10x better than a K9-K36 for figuring total E. Eurasian vs W. Eurasian because it's near impossible to figure out how much E. vs W. Eurasian each modern component such as Caucasus, E. European, etc in higher calculators is