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Received: 3,234 Given: 978 |
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MYHERITAGE RESULTS
Balkan 41.3% // Baltic 16.5% // Greek and South Italian 24.4% // Italian 1.3% // Finnish 14.2% // Irish, Scottish, and Welsh 2.3%
GEDMATCH RESULTS
K13: North_Atlantic 27.68 Pct // Baltic 28.95 Pct // West_Med 13.34 Pct // West_Asian 11.01 Pct // East_Med 12.82 Pct
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Components %
A-West-Europe 37,45
B-East-Europe 60,20
C-South-Med 0,00
D-Caucasus 2,34
E-Arabia 0,00
F-Siberia 0,00
G-Central-Asia 0,00
H-India 0,00
I-South-East-Asia 0,00
J-West-Africa 0,00
K-East-Africa 0,00
L-Oceania 0,00
M-East-Asia 0,00
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Received: 255 Given: 246 |
Component %
A-West-Europe 9,70%
B-East-Europe 0,01%
C-South-Med 39,16%
D-Caucasus 4,94%
E-Arabia 31,25%
F-Siberia 1,34%
G-Central-Asia 0,06%
H-India 3,96%
J-West-Africa 0,21%
K-East-Africa 9,37%
Components %
65,25% A-West-Europe
18,82% C-South-Med
8,56% B-East-Europe
7,31% E-Arabia
0,06% D-Caucasus
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Received: 10,570 Given: 25,848 |
These Tolan calcs are perfect to detect all of my recent ancestry. Balkans + Caucasus S T R O N K
East Europe 43.68%
West Europe 31.75%
South Med 5.95%
Caucasus 16.11%
Arabia 1.81%
Central Asia 0.71%
Distance: 4.66
50.60% Serb_Serbia
19.00% Hungarians
15.80% Croat_croatBHCB12
06.00% Bulgarians
05.60% Chechens
03.00% Abhkasians
Mixed Mode:
1 76.17% Serb_Serbia + 23.83% Georgian_GEO10_georgian @ 4.192
2 87.89% Serb_Serbia + 12.11% Chechens @ 4.229
3 89.45% Serb_Serbia + 10.55% Tabassaran_tabassaran4 @ 4.386
4 89.45% Serb_Serbia + 10.55% Tabassaran_tabassaran5 @ 4.475
5 91.80% Serb_Serbia + 8.20% Adygei @ 4.758
6 92.58% Serb_Serbia + 7.42% Ossetian @ 4.774
7 94.14% Serb_Serbia + 5.86% Abhkasians @ 4.812
8 91.80% Serb_Serbia + 8.20% Balkar @ 4.849
9 90.23% Serb_Serbia + 9.77% Tabassaran_tabassaran17 @ 4.899
10 90.23% Serb_Serbia + 9.77% Lezgins @ 4.911
Least-squares method.
Using 1 populations approximation
1 100% Serb_Serbia @ 7.842
2 100% Montenegran @ 9.239
3 100% Hungarians @ 12.056
4 100% Bulgarians @ 12.160
5 100% Serb_Serbian @ 13.088
6 100% Croatian @ 13.318
7 100% Moldavian_moldavian @ 13.660
8 100% Romanians @ 14.786
9 100% Croat_croatBHCB12 @ 14.873
10 100% Macedonian @ 15.874
Using 2 populations approximation
1 50% Hungarians + 50% Bulgarians @ 5.508
2 50% Pole_pole12p + 50% Kosovar @ 5.651
3 50% Bulgarians + 50% Serb_Serbian @ 6.153
Using 3 populations approximation
1 33% German + 33% Chechens + 33% French_Basque @ 5.412
2 33% Serb_Serbia + 33% Hungarians + 33% Bulgarians @ 6.019
3 33% Montenegran + 33% Hungarians + 33% Bulgarians @ 6.073
Using 4 populations approximation
1 25% Italian_N + 25% Italian_N + 25% Tabassaran_tabassaran4 + 25% Finn @ 4.172
2 25% Sweden + 25% Sweden + 25% Sweden + 25% Georgian_GEO10_georgian @ 4.257
3 25% Italian_N + 25% Italian_N + 25% Tabassaran_tabassaran4 + 25% Russian @ 4.429
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Received: 9,997 Given: 12,231 |
...... I am getting Selkups again I think this software is trolling me because I didn't pay them.
Mixed Mode:
1 66.80% Lithuanians + 33.20% Tuscan @ 1.530
2 71.48% Selkups + 28.52% Tuscan @ 1.936
3 69.14% Pole + 30.86% Tuscan @ 2.213
4 80.86% Pole_Pole + 19.14% Italian_S @ 2.708
5 72.27% Pole_Pole + 27.73% Serb @ 3.111
6 81.64% Pole_Pole + 18.36% Tuscan @ 3.188
7 69.92% Pole_Pole + 30.08% Macedonian @ 3.750
8 75.39% Ukranians + 24.61% Tuscan @ 3.780
9 70.70% Pole_Pole + 29.30% Gagauz @ 3.821
10 82.42% Pole_Pole + 17.58% AshkenazyJews_Romanian_Jew @ 4.340
Least-squares method.
Using 1 populations approximation
1 100% Croat_croatBHCB12 @ 9.365
2 100% Croatian @ 9.945
3 100% Serb_Serbian @ 10.460
4 100% Moldavian_moldavian @ 11.382
5 100% Sweden @ 11.725
6 100% Pole_Pole @ 12.486
7 100% Hungarians @ 15.170
8 100% Pole_pole12p @ 16.013
9 100% Ukranians @ 17.935
10 100% Serb_Serbia @ 18.030
Using 2 populations approximation
1 50% Moldavian_moldavian + 50% Pole_Pole @ 4.471
2 50% Pole_Pole + 50% Serb_Serbia @ 5.486
3 50% French_Basque + 50% Russian @ 6.110
4 50% Croatian + 50% Pole_Pole @ 6.136
5 50% French_Basque + 50% Finn @ 6.251
6 50% French_Basque + 50% Mordovians @ 6.285
7 50% Pole_Pole + 50% Romanians @ 6.451
8 50% Italian_N + 50% Russian @ 6.533
9 50% German + 50% French @ 6.570
10 50% Italian_N + 50% Finn @ 6.649
Using 3 populations approximation
1 33% Lithuanians + 33% Lithuanians + 33% Tuscan @ 1.539
2 33% Pole + 33% Pole + 33% Tuscan @ 3.046
3 33% Selkups + 33% Pole + 33% Tuscan @ 3.575
4 33% Pole_Pole + 33% Pole_Pole + 33% Macedonian @ 3.914
5 33% Sweden + 33% Pole_Pole + 33% Romanians @ 3.930
6 33% Pole_Pole + 33% Pole_Pole + 33% Serb @ 3.958
7 33% Pole_Pole + 33% Pole_Pole + 33% Gagauz @ 4.216
8 33% Selkups + 33% Selkups + 33% Tuscan @ 4.222
9 33% Romanians + 33% Pole + 33% GreatBritain @ 4.393
10 33% Pole_Pole + 33% Pole_Pole + 33% Romanians @ 4.411
Using 4 populations approximation
1 25% Lithuanians + 25% Lithuanians + 25% Gagauz + 25% Orcadian @ 2.050
2 25% Lithuanians + 25% Lithuanians + 25% Gagauz + 25% French @ 2.063
3 25% Selkups + 25% Selkups + 25% GreatBritain + 25% Gagauz @ 2.209
4 25% Lithuanians + 25% Lithuanians + 25% Gagauz + 25% UtahWhite @ 2.293
5 25% Lithuanians + 25% Lithuanians + 25% Serb + 25% Orcadian @ 2.601
6 25% Pole + 25% Pole + 25% GreatBritain + 25% Serb @ 2.825
7 25% Pole + 25% Pole + 25% GreatBritain + 25% Gagauz @ 2.831
8 25% Lithuanians + 25% Lithuanians + 25% Macedonian + 25% Orcadian @ 3.064
9 25% Selkups + 25% Selkups + 25% GreatBritain + 25% Serb @ 3.115
10 25% Lithuanians + 25% Lithuanians + 25% Serb + 25% French @ 3.151
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