Post Your Dodecad World9 Results

[Maleficent]

World9 Oracle

Admix Results (sorted):

# Population Percent
1 Southern 50.2
2 Caucasus_Gedrosia 35.26
3 Atlantic_Baltic 11.54
4 African 2.2
5 South_Asian 0.58
6 Australasian 0.15
7 East_Asian 0.07

Single Population Sharing:

# Population (source) Distance
1 Druze (HGDP) 5.44
2 Lebanese (Behar) 6.6
3 Palestinian (HGDP) 7.25
4 Syrians (Behar) 7.43
5 Samaritians (Behar) 8.46
6 Jordanians (Behar) 9
7 Cypriots (Behar) 9.91
8 Georgia_Jews (Behar) 10.92
9 Iraq_Jews (Behar) 13.49
10 Saudis (Behar) 13.93
11 Bedouin (HGDP) 15.23
12 Assyrian (Dodecad) 15.34
13 Azerbaijan_Jews 16.24
14 Iranian_Jews (Behar) 16.35
15 Uzbekistan_Jews 17.12
16 Yemen_Jews (Behar) 17.29
17 Armenian (Dodecad) 17.83
18 Sephardic_Jews (Behar) 18.17
19 Morocco_Jews (Behar) 18.41
20 Armenians (Yunusbayev) 18.75

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 89.9% Samaritians (Behar) + 10.1% Mordovians (Yunusbayev) @ 2.07
2 85.1% Samaritians (Behar) + 14.9% Romanians (Behar) @ 2.15
3 54.2% Samaritians (Behar) + 45.8% Cypriots (Behar) @ 2.16
4 90.2% Samaritians (Behar) + 9.8% Russian_B (Behar) @ 2.17
5 90.2% Samaritians (Behar) + 9.8% Russian (Dodecad) @ 2.17
6 89.7% Samaritians (Behar) + 10.3% Ukranians (Yunusbayev) @ 2.23
7 90.3% Samaritians (Behar) + 9.7% Belorussian (Behar) @ 2.28
8 91% Samaritians (Behar) + 9% Lithuanians @ 2.28
9 91% Samaritians (Behar) + 9% Lithuanian (Dodecad) @ 2.28
10 85.2% Samaritians (Behar) + 14.8% Bulgarian (Dodecad) @ 2.35
11 90.2% Samaritians (Behar) + 9.8% Polish (Dodecad) @ 2.36
12 90.9% Samaritians (Behar) + 9.1% FIN30 (1000Genomes) @ 2.37
13 91% Samaritians (Behar) + 9% Finnish (Dodecad) @ 2.39
14 85.6% Samaritians (Behar) + 14.4% Bulgarians (Yunusbayev) @ 2.4
15 88.8% Samaritians (Behar) + 11.2% Hungarians (Behar) @ 2.45
16 90.6% Samaritians (Behar) + 9.4% Swedish (Dodecad) @ 2.47
17 90.1% Samaritians (Behar) + 9.9% Argyll (1000 Genomes) @ 2.5
18 79.1% Samaritians (Behar) + 20.9% Greek (Dodecad) @ 2.54
19 58.8% Cypriots (Behar) + 41.2% Saudis (Behar) @ 2.54
20 90.6% Samaritians (Behar) + 9.4% Norwegian (Dodecad) @ 2.55

World9 4-Ancestors Oracle

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

Least-squares method.

Using 1 population approximation:
1 Druze @ 5.995
2 Lebanese @ 7.054
3 Palestinian @ 7.114
4 Syrians @ 8.094
5 Jordanians @ 8.702
6 Samaritians @ 8.836
7 Cypriots @ 10.929
8 Georgia_Jews @ 11.891
9 Iraq_Jews @ 14.854
10 Saudis @ 14.860
250 iterations.

Using 2 populations approximation:
1 50% Cypriots +50% Samaritians @ 2.044
2 50% Lebanese +50% Samaritians @ 3.503
3 50% Cypriots +50% Saudis @ 3.733
4 50% Turkish +50% Yemen_Jews @ 3.862
5 50% Druze +50% Palestinian @ 4.309
6 50% Armenians +50% Yemen_Jews @ 4.755
7 50% Druze +50% Samaritians @ 4.780
8 50% Cypriots +50% Yemen_Jews @ 4.862
9 50% Samaritians +50% Syrians @ 4.913
10 50% Turks +50% Yemen_Jews @ 5.272
31375 iterations.

Using 3 populations approximation:
1 50% Samaritians +25% Georgia_Jews +25% Morocco_Jews @ 0.955
2 50% Samaritians +25% Druze +25% Sephardic_Jews @ 1.381
3 50% Samaritians +25% Cypriots +25% Lebanese @ 1.422
4 50% Samaritians +25% Sephardic_Jews +25% Syrians @ 1.474
5 50% Samaritians +25% Iraq_Jews +25% Morocco_Jews @ 1.519
6 50% Druze +25% Cypriots +25% Yemen_Jews @ 1.569
7 50% Cypriots +25% Samaritians +25% Saudis @ 1.601
8 50% Samaritians +25% Georgia_Jews +25% Sephardic_Jews @ 1.620
9 50% Samaritians +25% Druze +25% Morocco_Jews @ 1.627
10 50% Samaritians +25% Assyrian +25% Morocco_Jews @ 1.636
441123 iterations.

Using 4 populations approximation:
1 Georgia_Jews + Morocco_Jews + Samaritians + Samaritians @ 0.955
2 Armenian + Samaritians + Sephardic_Jews + Yemen_Jews @ 1.016
3 Armenian + Morocco_Jews + Samaritians + Yemen_Jews @ 1.090
4 Sicilian + Iranian_Jews + Samaritians + Yemen_Jews @ 1.114
5 Morocco_Jews + Samaritians + Yemen_Jews + Armenians @ 1.114
6 S_Italian_Sicilian + Iranian_Jews + Samaritians + Yemen_Jews @ 1.146
7 S_Italian_Sicilian + Iraq_Jews + Samaritians + Yemen_Jews @ 1.149
8 S_Italian + Iraq_Jews + Samaritians + Yemen_Jews @ 1.153
9 Samaritians + Sephardic_Jews + Yemen_Jews + Armenians @ 1.201
10 S_Italian + Iranian_Jews + Samaritians + Yemen_Jews @ 1.243
11 Assyrian + S_Italian + Samaritians + Yemen_Jews @ 1.251
12 Sicilian + Iraq_Jews + Samaritians + Yemen_Jews @ 1.303
13 Ashkenazy_Jews + Iraq_Jews + Samaritians + Yemen_Jews @ 1.363
14 Assyrian + S_Italian_Sicilian + Samaritians + Yemen_Jews @ 1.374
15 Druze + Samaritians + Samaritians + Sephardic_Jews @ 1.381
16 Ashkenazi + Assyrian + Samaritians + Yemen_Jews @ 1.401
17 Ashkenazy_Jews + Iranian_Jews + Samaritians + Yemen_Jews @ 1.402
18 S_Italian + Azerbaijan_Jews + Samaritians + Yemen_Jews @ 1.422
19 Cypriots + Lebanese + Samaritians + Samaritians @ 1.422
20 S_Italian + Iraq_Jews + Samaritians + Saudis @ 1.430

1199208 iterations.

Done.

Elapsed time 0.9314 seconds.

World9 Oracle-X Population Fitting

Pct. Calc. Option 1

1 Yemen_Jews 45.31%
2 Armenians 26.40%
3 Cypriots 17.33%
4 Sephardic_Jews 8.12%
5 S_Italian 1.89%
6 Lebanese 0.94%
7 Tuscan 0.01%
8 Ashkenazi 0.00%
9 Turkish 0.00%
10 Turks 0.00%

Pct. Calc. Option 2

1 Samaritians 44.15%
2 Lebanese 22.37%
3 Yemen_Jews 12.57%
4 Romanians 4.65%
5 Mordovians 4.53%
6 Iraq_Jews 4.26%
7 Uzbekistan_Jews 3.93%
8 Turkish 2.97%
9 Morocco_Jews 0.56%
10 Hungarians 0.01%

[Maleficent]

World9 Oracle

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 68.76
2 Southern 14.5
3 Caucasus_Gedrosia 13.9
4 South_Asian 1.17
5 Amerindian 0.97
6 African 0.44
7 Australasian 0.26

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 2.16
2 French (HGDP) 4.92
3 Mixed_Germanic (Dodecad) 5.1
4 Dutch (Dodecad) 5.88
5 French (Dodecad) 6.3
6 German (Dodecad) 6.46
7 CEU30 (1000Genomes) 7.03
8 Cornwall (1000 Genomes) 7.36
9 Kent (1000 Genomes) 7.5
10 British (Dodecad) 7.65
11 Ukranians (Yunusbayev) 8.5
12 British_Isles (Dodecad) 8.63
13 Argyll (1000 Genomes) 9.05
14 Irish (Dodecad) 9.37
15 Orcadian (HGDP) 9.58
16 Orkney (1000 Genomes) 10.02
17 Polish (Dodecad) 10.79
18 Cataluna (1000 Genomes) 12.24
19 Belorussian (Behar) 12.55
20 Russian_B (Behar) 13.24

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 86.6% Orcadian (HGDP) + 13.4% Lebanese (Behar) @ 0.67
2 87% Orcadian (HGDP) + 13% Syrians (Behar) @ 0.69
3 89.3% Argyll (1000 Genomes) + 10.7% Saudis (Behar) @ 0.71
4 89.7% Argyll (1000 Genomes) + 10.3% Yemen_Jews (Behar) @ 0.75
5 86.5% Orkney (1000 Genomes) + 13.5% Syrians (Behar) @ 0.78
6 90.2% CEU30 (1000Genomes) + 9.8% Druze (HGDP) @ 0.79
7 87.1% Orcadian (HGDP) + 12.9% Druze (HGDP) @ 0.8
8 86.1% Orkney (1000 Genomes) + 13.9% Lebanese (Behar) @ 0.82
9 90.2% CEU30 (1000Genomes) + 9.8% Syrians (Behar) @ 0.83
10 84.2% Argyll (1000 Genomes) + 15.8% Morocco_Jews (Behar) @ 0.84
11 90.4% CEU30 (1000Genomes) + 9.6% Georgia_Jews (Behar) @ 0.85
12 83.8% Argyll (1000 Genomes) + 16.2% Sephardic_Jews (Behar) @ 0.87
13 91% CEU30 (1000Genomes) + 9% Iraq_Jews (Behar) @ 0.88
14 86.6% Orkney (1000 Genomes) + 13.4% Druze (HGDP) @ 0.88
15 80.9% Argyll (1000 Genomes) + 19.1% Sicilian (Dodecad) @ 0.91
16 87.3% Orcadian (HGDP) + 12.7% Palestinian (HGDP) @ 0.91
17 89.9% CEU30 (1000Genomes) + 10.1% Lebanese (Behar) @ 0.92
18 87.6% Irish (Dodecad) + 12.4% Palestinian (HGDP) @ 0.92
19 85.2% Orcadian (HGDP) + 14.8% Cypriots (Behar) @ 0.94
20 81.4% Argyll (1000 Genomes) + 18.6% Ashkenazi (Dodecad) @ 0.95

World9 4-Ancestors Oracle

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

Least-squares method.

Using 1 population approximation:
1 Hungarians @ 3.188
2 Mixed_Germanic @ 4.326
3 Dutch @ 5.202
4 French @ 5.217
5 German @ 5.878
6 French @ 6.683
7 CEU30 @ 6.697
8 Cornwall @ 6.910
9 Kent @ 6.991
10 British @ 7.260
250 iterations.

Using 2 populations approximation:
1 50% N_Italian +50% Lithuanians @ 1.499
2 50% North_Italian +50% Lithuanians @ 1.568
3 50% Lithuanian +50% N_Italian @ 1.722
4 50% Lithuanian +50% North_Italian @ 1.913
5 50% Mixed_Germanic +50% Hungarians @ 2.047
6 50% Dutch +50% Hungarians @ 2.513
7 50% German +50% Hungarians @ 2.800
8 50% French +50% Ukranians @ 2.862
9 50% French +50% Ukranians @ 2.872
10 50% French +50% Hungarians @ 2.887
31375 iterations.

Using 3 populations approximation:
1 50% Mixed_Germanic +25% TSI30 +25% Lithuanians @ 1.172
2 50% Kent +25% Dutch +25% Bulgarians @ 1.179
3 50% Mixed_Germanic +25% Tuscan +25% Lithuanians @ 1.203
4 50% Kent +25% German +25% Bulgarians @ 1.214
5 50% Kent +25% Bulgarian +25% Kent @ 1.218
6 50% Kent +25% German +25% Bulgarian @ 1.256
7 50% Kent +25% Dutch +25% Bulgarian @ 1.260
8 50% Kent +25% C_Italian +25% Lithuanians @ 1.265
9 50% Kent +25% Bulgarian +25% Cornwall @ 1.267
10 50% Irish +25% Polish +25% Tuscan @ 1.277
864601 iterations.

Using 4 populations approximation:
1 Mixed_Germanic + Mixed_Germanic + TSI30 + Lithuanians @ 1.172
2 Dutch + Kent + Kent + Bulgarians @ 1.179
3 Mixed_Germanic + Dutch + Tuscan + Lithuanians @ 1.191
4 Mixed_Germanic + Dutch + TSI30 + Lithuanians @ 1.200
5 Mixed_Germanic + Mixed_Germanic + Tuscan + Lithuanians @ 1.203
6 German + Kent + Kent + Bulgarians @ 1.214
7 Bulgarian + Kent + Kent + Kent @ 1.218
8 Irish + Mixed_Germanic + Kent + Bulgarians @ 1.219
9 Dutch + Kent + Cornwall + Bulgarians @ 1.225
10 Irish + Mixed_Germanic + Bulgarian + Kent @ 1.235
11 German + Kent + Cornwall + Bulgarians @ 1.247
12 German + Mixed_Germanic + Tuscan + Lithuanians @ 1.247
13 Irish + Mixed_Germanic + Cornwall + Bulgarians @ 1.252
14 German + Bulgarian + Kent + Kent @ 1.256
15 Dutch + Bulgarian + Kent + Kent @ 1.260
16 C_Italian + Lithuanians + Kent + Kent @ 1.265
17 Bulgarian + Kent + Kent + Cornwall @ 1.267
18 British_Isles + Dutch + Bulgarian + Kent @ 1.269
19 Irish + Mixed_Germanic + Bulgarian + Cornwall @ 1.275
20 British_Isles + Dutch + Kent + Bulgarians @ 1.277

2887164 iterations.

Done.

Elapsed time 2.5030 seconds.

World9 Oracle-X Population Fitting

Pct. Calc. Option 1

1 Hungarians 89.65%
2 French_Basque 9.02%
3 Brahmins_from_Uttar_Pradesh 0.76%
4 Colombian 0.51%
5 MEX30 0.05%
6 Dominican 0.01%
7 PUR30 0.00%
8 Brazilian 0.00%
9 CLM30 0.00%
10 Puerto_Rican 0.00%

Pct. Calc. Option 2

0 Unable to determine 0.01%
1 Hungarians 86.51%
2 Lithuanian 4.18%
3 Brazilian 3.49%
4 Sardinian 2.60%
5 French_Basque 2.07%
6 Colombian 1.08%
7 PUR30 0.03%
8 CLM30 0.02%
9 Mozabite 0.01%
10 Puerto_Rican 0.00%

[Maleficent]

World9 Oracle

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 39.49
2 Southern 32.35
3 Caucasus_Gedrosia 24.5
4 African 1.72
5 South_Asian 1.52
6 Amerindian 0.2
7 Australasian 0.19
8 Siberian 0.03

Single Population Sharing:

# Population (source) Distance
1 Greek (Dodecad) 3.08
2 C_Italian (Dodecad) 5.21
3 Ashkenazy_Jews 5.9
4 Sicilian (Dodecad) 6.41
5 S_Italian_Sicilian (Dodecad) 6.62
6 O_Italian (Dodecad) 6.76
7 S_Italian (Dodecad) 7.22
8 Ashkenazi (Dodecad) 7.56
9 Tuscan (HGDP) 9.95
10 TSI30 (Metspalu) 10.82
11 Sephardic_Jews (Behar) 14.63
12 Romanians (Behar) 15.54
13 Bulgarian (Dodecad) 15.58
14 Morocco_Jews (Behar) 16.33
15 Bulgarians (Yunusbayev) 16.65
16 North_Italian (HGDP) 18.52
17 N_Italian (Dodecad) 18.55
18 Turkish (Dodecad) 21.46
19 Canarias (1000 Genomes) 22.31
20 Cypriots (Behar) 22.64

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 57.6% Portuguese (Dodecad) + 42.4% Uzbekistan_Jews @ 0.73
2 58% Extremadura (1000 Genomes) + 42% Uzbekistan_Jews @ 0.79
3 59.6% Extremadura (1000 Genomes) + 40.4% Azerbaijan_Jews @ 0.91
4 57.2% Galicia (1000 Genomes) + 42.8% Uzbekistan_Jews @ 0.97
5 57.6% Portuguese (Dodecad) + 42.4% Armenian (Dodecad) @ 1.08
6 58.6% Andalucia (1000 Genomes) + 41.4% Uzbekistan_Jews @ 1.1
7 50.6% Syrians (Behar) + 49.4% French (Dodecad) @ 1.12
8 91% C_Italian (Dodecad) + 9% Makrani @ 1.14
9 58.1% Portuguese (Dodecad) + 41.9% Armenians (Yunusbayev) @ 1.14
10 58.7% Galicia (1000 Genomes) + 41.3% Azerbaijan_Jews @ 1.15
11 56.1% Castilla_Y_Leon (1000 Genomes) + 43.9% Uzbekistan_Jews @ 1.15
12 59.2% Portuguese (Dodecad) + 40.8% Azerbaijan_Jews @ 1.21
13 59.4% Extremadura (1000 Genomes) + 40.6% Assyrian (Dodecad) @ 1.27
14 56% Canarias (1000 Genomes) + 44% Armenians (Behar) @ 1.33
15 56.5% Castilla_La_Mancha (1000 Genomes) + 43.5% Uzbekistan_Jews @ 1.34
16 84.7% O_Italian (Dodecad) + 15.3% Iranians (Behar) @ 1.4
17 58.1% Extremadura (1000 Genomes) + 41.9% Armenian (Dodecad) @ 1.41
18 60.7% Murcia (1000 Genomes) + 39.3% Armenians (Yunusbayev) @ 1.44
19 63.1% N_Italian (Dodecad) + 36.9% Syrians (Behar) @ 1.47
20 58.5% Galicia (1000 Genomes) + 41.5% Assyrian (Dodecad) @ 1.5

World9 4-Ancestors Oracle

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

Least-squares method.

Using 1 population approximation:
1 Greek @ 3.014
2 C_Italian @ 5.602
3 Ashkenazy_Jews @ 6.390
4 Sicilian @ 6.844
5 S_Italian_Sicilian @ 7.082
6 O_Italian @ 7.480
7 S_Italian @ 7.752
8 Ashkenazi @ 8.162
9 Tuscan @ 10.998
10 TSI30 @ 11.976
250 iterations.

Using 2 populations approximation:
1 50% French +50% Syrians @ 1.364
2 50% French +50% Syrians @ 1.542
3 50% French +50% Druze @ 1.641
4 50% Druze +50% French @ 1.653
5 50% Romanians +50% Sephardic_Jews @ 1.712
6 50% CEU30 +50% Samaritians @ 2.264
7 50% Samaritians +50% Argyll @ 2.282
8 50% Azerbaijan_Jews +50% Pais_Vasco @ 2.282
9 50% Bulgarian +50% Sephardic_Jews @ 2.315
10 50% French_Basque +50% Azerbaijan_Jews @ 2.352
31375 iterations.

Using 3 populations approximation:
1 50% Cornwall +25% Iraq_Jews +25% Saudis @ 0.827
2 50% Sicilian +25% Syrians +25% Argyll @ 0.915
3 50% Sicilian +25% Irish +25% Syrians @ 0.949
4 50% S_Italian_Sicilian +25% Syrians +25% Orkney @ 0.954
5 50% Tuscan +25% Romanians +25% Syrians @ 0.957
6 50% French +25% Druze +25% Syrians @ 0.965
7 50% Mixed_Germanic +25% Georgia_Jews +25% Saudis @ 0.972
8 50% Kent +25% Iraq_Jews +25% Saudis @ 0.984
9 50% Sicilian +25% Orcadian +25% Syrians @ 0.987
10 50% S_Italian_Sicilian +25% Orcadian +25% Syrians @ 0.997
955726 iterations.

Using 4 populations approximation:
1 S_Italian_Sicilian + Kurd + North_Italian + Canarias @ 0.792
2 S_Italian + North_Italian + Canarias + Kurds @ 0.796
3 Sicilian + North_Italian + Canarias + Kurds @ 0.808
4 S_Italian_Sicilian + North_Italian + Canarias + Kurds @ 0.810
5 Kurd + S_Italian + North_Italian + Canarias @ 0.813
6 Iraq_Jews + Saudis + Cornwall + Cornwall @ 0.827
7 Dutch + Druze + Spaniards + Syrians @ 0.847
8 Sicilian + Kurd + North_Italian + Canarias @ 0.848
9 Sicilian + S_Italian + Syrians + Orkney @ 0.854
10 British_Isles + Druze + Syrians + Baleares @ 0.866
11 Spanish + Armenians + Syrians + Cataluna @ 0.867
12 Dutch + Druze + Syrians + Valencia @ 0.870
13 Assyrian + French + Saudis + Orkney @ 0.872
14 Mixed_Germanic + Druze + Syrians + Cataluna @ 0.876
15 Armenians + Syrians + Aragon + Cataluna @ 0.880
16 Palestinian + Iraq_Jews + Orkney + Cataluna @ 0.883
17 C_Italian + Sephardic_Jews + Syrians + Argyll @ 0.883
18 Assyrian + Dutch + Palestinian + Aragon @ 0.889
19 Sicilian + S_Italian + Orcadian + Syrians @ 0.889
20 Armenians + Syrians + Valencia + Cataluna @ 0.890

2890556 iterations.

Done.

Elapsed time 2.3630 seconds.

World9 Oracle-X Population Fitting

Pct. Calc. Option 1

1 Greek 89.27%
2 Sicilian 3.85%
3 Finnish 1.81%
4 Brazilian 1.72%
5 MALAYAN 1.42%
6 Biaka_Pygmies 1.11%
7 Dominican 0.73%
8 Bnei_Menashe_Jews 0.09%
9 Puerto_Rican 0.00%
10 PUR30 0.00%

Pct. Calc. Option 2

0 Unable to determine 0.01%
1 Greek 76.16%
2 FIN30 7.08%
3 Bnei_Menashe_Jews 4.79%
4 Dominican 3.93%
5 Yemen_Jews 3.93%
6 Egyptans 3.09%
7 Brazilian 1.00%
8 Moroccans 0.01%
9 Biaka_Pygmies 0.00%
10 Malayan 0.00%

[Jonik]

World9

Population
Amerindian 0.64%
Atlantic_Baltic 79.61%
Australasian 0.53%
Siberian 2.66%
Caucasus_Gedrosia 12.42%
Southern 4.10%

'Oracle v1'

Single Population Sharing:

# Population (source) Distance
1 Belorussian (Behar) 2.01
2 Swedish (Dodecad) 3.04
3 Polish (Dodecad) 3.61
4 Norwegian (Dodecad) 3.97
5 Russian_B (Behar) 4.11
6 Russian (Dodecad) 5.2
7 Lithuanian (Dodecad) 5.25
8 Lithuanians 5.31
9 Argyll (1000 Genomes) 5.95
10 Irish (Dodecad) 6.28
11 Orkney (1000 Genomes) 6.3
12 Orcadian (HGDP) 6.4
13 Ukranians (Yunusbayev) 6.98
14 FIN30 (1000Genomes) 7.45
15 Finnish (Dodecad) 7.78
16 British_Isles (Dodecad) 7.84
17 British (Dodecad) 8.31
18 CEU30 (1000Genomes) 8.38
19 German (Dodecad) 8.47
20 Kent (1000 Genomes) 8.6

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 75.2% Belorussian (Behar) + 24.8% Lithuanian (Dodecad) @ 1.08
2 75.4% Belorussian (Behar) + 24.6% Lithuanians @ 1.08
3 73% Lithuanians + 27% Hungarians (Behar) @ 1.27
4 57.4% Lithuanian (Dodecad) + 42.6% Ukranians (Yunusbayev) @ 1.27
5 83.2% Belorussian (Behar) + 16.8% Finnish (Dodecad) @ 1.28
6 94.7% Lithuanians + 5.3% Yemen_Jews (Behar) @ 1.3
7 94.5% Lithuanians + 5.5% Saudis (Behar) @ 1.33
8 83.1% Belorussian (Behar) + 16.9% FIN30 (1000Genomes) @ 1.34
9 92.3% Lithuanians + 7.7% Morocco_Jews (Behar) @ 1.34
10 57.1% Lithuanians + 42.9% Ukranians (Yunusbayev) @ 1.35
11 91.2% Lithuanians + 8.8% Ashkenazi (Dodecad) @ 1.35
12 90.9% Lithuanians + 9.1% Ashkenazy_Jews @ 1.35
13 94.4% Lithuanians + 5.6% Bedouin (HGDP) @ 1.36
14 73.3% Lithuanian (Dodecad) + 26.7% Hungarians (Behar) @ 1.36
15 85.4% Lithuanian (Dodecad) + 14.6% Bulgarians (Yunusbayev) @ 1.37
16 92.2% Lithuanians + 7.8% Sephardic_Jews (Behar) @ 1.38
17 91% Lithuanian (Dodecad) + 9% Ashkenazy_Jews @ 1.38
18 85.9% Lithuanian (Dodecad) + 14.1% Bulgarian (Dodecad) @ 1.39
19 91.3% Lithuanian (Dodecad) + 8.7% Ashkenazi (Dodecad) @ 1.39
20 91% Lithuanians + 9% Sicilian (Dodecad) @ 1.4

4-Ancestors Oracle

Using 1 population approximation:
1 Belorussian @ 2.994
2 Swedish @ 3.284
3 Norwegian @ 4.234
4 Polish @ 4.454
5 Lithuanians @ 5.128
6 Lithuanian @ 5.141
7 Russian_B @ 5.464
8 Russian @ 6.488
9 Argyll @ 6.768
10 Orkney @ 6.973
250 iterations.



Using 2 populations approximation:
1 50% Polish +50% Lithuanians @ 1.416
2 50% Polish +50% Lithuanian @ 1.587
3 50% Belorussian +50% Lithuanians @ 1.813
4 50% Lithuanian +50% Belorussian @ 1.893
5 50% Lithuanians +50% Argyll @ 2.153
6 50% Swedish +50% Belorussian @ 2.297
7 50% Lithuanians +50% Ukranians @ 2.337
8 50% Lithuanian +50% Ukranians @ 2.380
9 50% Lithuanian +50% Argyll @ 2.410
10 50% Irish +50% Lithuanians @ 2.432
31375 iterations.



Using 3 populations approximation:
1 50% Lithuanians +25% Norwegian +25% Ukranians @ 1.105
2 50% Lithuanians +25% Russian +25% Irish @ 1.107
3 50% Lithuanians +25% Russian +25% British_Isles @ 1.133
4 50% Lithuanians +25% Russian +25% Kent @ 1.140
5 50% Lithuanians +25% Swedish +25% Ukranians @ 1.158
6 50% Lithuanians +25% Russian +25% Orkney @ 1.170
7 50% Lithuanians +25% Russian +25% Argyll @ 1.190
8 50% Lithuanians +25% British +25% Russian @ 1.194
9 50% Lithuanians +25% Russian +25% Orcadian @ 1.205
10 50% Lithuanians +25% Russian +25% Cornwall @ 1.238
214532 iterations.



Using 4 populations approximation:
1 Norwegian + Lithuanians + Lithuanians + Ukranians @ 1.105
2 Russian + Irish + Lithuanians + Lithuanians @ 1.107
3 Russian + British_Isles + Lithuanians + Lithuanians @ 1.133
4 Russian + Lithuanians + Lithuanians + Kent @ 1.140
5 Swedish + Lithuanians + Lithuanians + Ukranians @ 1.158
6 Russian + Lithuanians + Lithuanians + Orkney @ 1.170
7 Russian + Lithuanians + Lithuanians + Argyll @ 1.190
8 British + Russian + Lithuanians + Lithuanians @ 1.194
9 Russian + Orcadian + Lithuanians + Lithuanians @ 1.205
10 Norwegian + Lithuanian + Lithuanians + Ukranians @ 1.223
11 Russian + Lithuanians + Lithuanians + Cornwall @ 1.238
12 Swedish + Belorussian + Belorussian + Lithuanians @ 1.259
13 Russian + Irish + Lithuanian + Lithuanians @ 1.264
14 Swedish + Lithuanian + Lithuanians + Ukranians @ 1.271
15 Russian + German + Lithuanians + Lithuanians @ 1.274
16 Irish + Lithuanians + Lithuanians + Russian_B @ 1.275
17 Lithuanians + Lithuanians + Russian_B + Kent @ 1.276
18 British_Isles + Lithuanians + Lithuanians + Russian_B @ 1.281
19 Norwegian + Belorussian + Belorussian + Lithuanians @ 1.292
20 Russian + CEU30 + Lithuanians + Lithuanians @ 1.308
2395052 iterations.

Oracle-x

Pct. Calc. Option 1

1 Belorussian 63.83%
2 Lithuanians 20.69%
3 Finnish 9.87%
4 Kent 2.72%
5 Orkney 2.64%
6 Aleut 0.25%
7 Irish 0.00%
8 Argyll 0.00%
9 Orcadian 0.00%
10 German 0.00%

Pct. Calc. Option 2

1 Belorussian 68.30%
2 Lithuanians 15.94%
3 Finnish 15.00%
4 CLM30 0.44%
5 PUR30 0.32%
6 AthabaskHD4 0.00%
7 Aleut 0.00%
8 Puerto_Rican 0.00%
9 C_Italian 0.00%
10 Sicilian 0.00%

[RMuller]

How is it possible that some the European members are getting a tiny bit of Amerindian in their results??? Is it noise?

[Skywalker]

My World9:
1 Atlantic_Baltic 65.5
2 Caucasus_Gedrosia 16.97
3 Southern 15.95
4 Australasian 0.5
5 Amerindian 0.48
6 African 0.33
7 Siberian 0.26

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 3.92
2 French (HGDP) 7.02
3 French (Dodecad) 8.35
4 Mixed_Germanic (Dodecad) 9.1
5 Dutch (Dodecad) 9.78
6 German (Dodecad) 10.37
7 CEU30 (1000Genomes) 11.12
8 Ukranians (Yunusbayev) 11.12
9 Cornwall (1000 Genomes) 11.44
10 Kent (1000 Genomes) 11.52
11 British (Dodecad) 11.7
12 Bulgarians (Yunusbayev) 12.43
13 Cataluna (1000 Genomes) 12.5
14 British_Isles (Dodecad) 12.7
15 Argyll (1000 Genomes) 12.87
16 N_Italian (Dodecad) 13.23
17 Irish (Dodecad) 13.3
18 Bulgarian (Dodecad) 13.55
19 Orcadian (HGDP) 13.57
20 Spaniards (Behar) 13.9

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 85.6% German (Dodecad) + 14.4% Georgia_Jews (Behar) @ 0.56
2 86.6% German (Dodecad) + 13.4% Iraq_Jews (Behar) @ 0.63
3 84% Kent (1000 Genomes) + 16% Armenian (Dodecad) @ 0.67
4 84.1% Kent (1000 Genomes) + 15.9% Armenians (Yunusbayev) @ 0.69
5 83.8% British (Dodecad) + 16.2% Armenian (Dodecad) @ 0.75
6 86% German (Dodecad) + 14% Assyrian (Dodecad) @ 0.75
7 86.7% German (Dodecad) + 13.3% Iranian_Jews (Behar) @ 0.76
8 82.2% Kent (1000 Genomes) + 17.8% Armenians (Behar) @ 0.78
9 84.7% Kent (1000 Genomes) + 15.3% Azerbaijan_Jews @ 0.8
10 81.5% Orkney (1000 Genomes) + 18.5% Georgia_Jews (Behar) @ 0.81
11 83.9% British (Dodecad) + 16.1% Armenians (Yunusbayev) @ 0.81
12 82.3% Cornwall (1000 Genomes) + 17.7% Armenians (Behar) @ 0.82
13 84.1% Kent (1000 Genomes) + 15.9% Uzbekistan_Jews @ 0.83
14 50.9% Lithuanians + 49.1% O_Italian (Dodecad) @ 0.85
15 84.3% Cornwall (1000 Genomes) + 15.7% Armenians (Yunusbayev) @ 0.85
16 84.6% Kent (1000 Genomes) + 15.4% Assyrian (Dodecad) @ 0.86
17 84.1% Cornwall (1000 Genomes) + 15.9% Armenian (Dodecad) @ 0.86
18 86% German (Dodecad) + 14% Azerbaijan_Jews @ 0.87
19 82% Orcadian (HGDP) + 18% Georgia_Jews (Behar) @ 0.87
20 84.4% British (Dodecad) + 15.6% Assyrian (Dodecad) @ 0.88

[Skywalker]

4 Ancestor Oracle
Using 1 population approximation:
1 Hungarians @ 4.046
2 French @ 7.449
3 French @ 8.919
4 Mixed_Germanic @ 9.519
5 Dutch @ 10.233
6 German @ 10.909
7 Ukranians @ 11.612
8 CEU30 @ 11.781
9 Cornwall @ 12.138
10 Kent @ 12.214
250 iterations.



Using 2 populations approximation:
1 50% Argyll +50% Bulgarians @ 1.628
2 50% Irish +50% Bulgarians @ 1.655
3 50% Irish +50% Bulgarian @ 1.756
4 50% Orcadian +50% Bulgarians @ 1.826
5 50% Bulgarian +50% Orcadian @ 1.867
6 50% Bulgarian +50% Argyll @ 1.872
7 50% Bulgarian +50% Orkney @ 1.877
8 50% O_Italian +50% Lithuanians @ 1.916
9 50% Orkney +50% Bulgarians @ 1.957
10 50% Tuscan +50% Lithuanians @ 1.973
31375 iterations.



Using 3 populations approximation:
1 50% Lithuanians +25% Greek +25% N_Italian @ 1.514
2 50% Dutch +25% Polish +25% Greek @ 1.552
3 50% Bulgarians +25% Irish +25% Argyll @ 1.617
4 50% Lithuanians +25% Greek +25% North_Italian @ 1.619
5 50% Argyll +25% Bulgarians +25% Bulgarians @ 1.628
6 50% Bulgarians +25% Argyll +25% Argyll @ 1.628
7 50% Irish +25% Bulgarians +25% Bulgarians @ 1.655
8 50% Bulgarians +25% Irish +25% Irish @ 1.655
9 50% Polish +25% Dutch +25% S_Italian @ 1.660
10 50% Irish +25% Bulgarian +25% Bulgarians @ 1.669
993451 iterations.



Using 4 populations approximation:
1 Greek + N_Italian + Lithuanians + Lithuanians @ 1.514
2 Polish + Greek + Dutch + Dutch @ 1.552
3 Irish + Greek + Dutch + Ukranians @ 1.602
4 Greek + Dutch + Argyll + Ukranians @ 1.609
5 Bulgarian + TSI30 + Lithuanians + Argyll @ 1.615
6 Irish + Argyll + Bulgarians + Bulgarians @ 1.617
7 Greek + North_Italian + Lithuanians + Lithuanians @ 1.619
8 Polish + Greek + German + Dutch @ 1.621
9 Argyll + Argyll + Bulgarians + Bulgarians @ 1.628
10 Irish + Norwegian + Cypriots + Lithuanians @ 1.631
11 Greek + Mixed_Germanic + Argyll + Ukranians @ 1.632
12 Bulgarian + Tuscan + Lithuanians + Argyll @ 1.637
13 Norwegian + Orcadian + Cypriots + Lithuanians @ 1.643
14 Greek + Lithuanian + N_Italian + Lithuanians @ 1.643
15 Norwegian + Cypriots + Lithuanians + Orkney @ 1.647
16 Irish + Greek + Mixed_Germanic + Ukranians @ 1.650
17 Irish + Irish + Bulgarians + Bulgarians @ 1.655
18 Polish + Polish + Dutch + S_Italian @ 1.660
19 Norwegian + British_Isles + Cypriots + Lithuanians @ 1.665
20 Tuscan + Lithuanians + Argyll + Bulgarians @ 1.667

[Skywalker]

Oracle X Option 1
Pct. Calc. Option 1

1 Hungarians 91.50%
2 S_Italian_Sicilian 5.60%
3 Georgians 2.24%
4 Greek 0.66%
5 Sephardic_Jews 0.00%
6 S_Italian 0.00%
7 PUR30 0.00%
8 Puerto_Rican 0.00%
9 Yemenese 0.00%
10 Morocco_Jews 0.00%

Option 2
Pct. Calc. Option 2

1 Hungarians 76.07%
2 Pais_Vasco 9.03%
3 Iranian_Jews 7.60%
4 Lithuanians 4.68%
5 Lithuanian 1.10%
6 Brazilian 1.07%
7 Bulgarians 0.39%
8 Armenians 0.04%
9 PUR30 0.02%
10 Yemenese 0.00%

[Atlantic Islander]

World9
Atlantic_Baltic 60.69
Southern 28.37
Caucasus_Gedrosia 6.91
African 1.9
South_Asian 1.45
Amerindian 0.26
Australasian 0.25
Siberian 0.17
East_Asian -

And from the original spreadsheet:
Atlantic_Baltic 60%
Southern 28.7%
Caucasus_Gedrosia 7.3%
African 1.7%
South_Asian 1.6%
Amerindian 0.3%
Australasian 0.3%
Siberian 0.1%
East_Asian 0%

[Atlantic Islander]

Here is what Dienekes himself said to me about the origins of the Atlantic_Baltic component.

''Atlantic_Baltic is a component that reaches its highest levels in the far edge of Europe, i.e., the Atlantic facade and the Baltic area. My analysis of ancient European hunter-gatherers from Iberia and Sweden has shown them to belong ~100% in this component, indicating that it incorporate (while not identical to) the legacy of pre-Neolithic Europe.''

I'm not a fan of that term, but lol at him using it.