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  • 1798
    replied
    Lochsbour F999918
    # Population Percent
    1 WHG-UHG 56.37
    2 ENF 41.49
    Using 3 populations approximation:
    1 50% Lithuanian +25% Lithuanian +25% United-Kingdom @ 28.569082

    Rise98 F999941
    # Population Percent
    1 ENF 36.20
    2 WHG-UHG 35.71
    3 ANE 22.20
    4 Caucas-Gedrosia 3.64
    5 ASI 1.05
    Using 4 populations approximation:
    1 Icelandic + Lithuanian + Ukrainian_East + Vepsa @ 1.422036

    Stuttgart F999916
    # Population Percent
    1 ENF 59.47
    2 Caucas-Gedrosia 20.22
    3 NearEast 12.66
    4 WHG-UHG 7.65

    Using 4 populations approximation:
    1 Druze + Sardinian + Sardinian + Sardinian @ 6.004876

    La Brana F999915
    # Population Percent
    1 WHG-UHG 59.65
    2 ENF 36.25
    3 EastAsian 2.96
    4 Oceanian 1.12

    Using 3 populations approximation:
    1 50% Lithuanian +25% Ukrainian_East +25% Ukrainian_East @ 30.576555

    Where did the two HGs, Lochsbour and La Brana get their ENF?

    Leave a comment:


  • Armando
    replied
    I have found 23andme to still be the calculator that consistently provides results that more closely match people's known ancestry. None of the Gedmatch calculators come anywhere close to 23andme and Ancestry comes in a close second. My conclusion is based on hundreds of results and many of the European countries, Asia, Africa, and the Americas (U.S., Canada, and Latin America) and not just a few family members or from just a country or two.

    Leave a comment:


  • 1798
    replied
    Originally posted by 192971 View Post
    I agree about FTDNA's MyOrigins. For me, it feels somewhat coarse (95% Finnish&Siberia + 5% Scandinavia), but still it is as good as it gets, compared to facts: my known ancestry and my FF and haplogroup matches' geographical distribution.
    We need some clever person to create a decent calculator for western Europeans.

    Leave a comment:


  • 192971
    replied
    Originally posted by 1798 View Post
    This is not a good calculator for you or I. I think that the K15 is the only one that is okay for me at gedmatch. FTDNA's MyOrigins is also very accurate for my wife's and my ancestry.
    I agree about FTDNA's MyOrigins. For me, it feels somewhat coarse (95% Finnish&Siberia + 5% Scandinavia), but still it is as good as it gets, compared to facts: my known ancestry and my FF and haplogroup matches' geographical distribution.

    Leave a comment:


  • 1798
    replied
    Originally posted by 192971 View Post
    My West-Finnish results are below. I find it hard to see what is so 'ultimate' in these. Population percents seem normal.

    In Oracle, Finland_West population is missing and somehow I end up having most shared roots with Ing(e)rian (the component 'Inkeri' is Ingria in Finnish). Ingrian Finns moved to Ingria as late as 17th century, and they are not ancestral to me.

    The 4-Ancestors Oracle results are again as 'random' as one could expect. Not totally random, but still not very convincing.

    # Population Percent
    1 ENF 34.84
    2 WHG-UHG 33.66
    3 ANE 19.94
    4 Siberian 5.38
    5 Caucas-Gedrosia 3.3
    6 Arctic 1.4
    7 Amerindian 1.02
    8 Subsaharian 0.45

    Single Population Sharing:
    1 Ingerian 1.66
    2 Finn 2.41
    3 Finland_South 3.22
    4 Russian_Kostroma 3.28
    5 North-Russian 4.06
    6 Karelian 4.33
    7 Finland_North 4.52
    8 Swedish 4.69
    9 Russian_Tver 4.87
    10 Russian_Archangelsk 5.3

    Mixed Mode Population Sharing:
    1 85.3% Ingerian + 14.7% Inkeri @ 0.62
    2 89.6% Ingerian + 10.4% Hungary @ 0.77
    3 93.3% Ingerian + 6.7% Swiss @ 0.77
    4 90.5% Ingerian + 9.5% Germany_South @ 0.77

    4-Ancestors Oracle
    Using 4 populations approximation:
    1 Orcadian + Saami + Swedish + Ukrainian_East @ 1.081696
    2 Icelandic + Saami + Swedish + Ukrainian_East @ 1.094846
    This is not a good calculator for you or I. I think that the K15 is the only one that is okay for me at gedmatch. FTDNA's MyOrigins is also very accurate for my wife's and my ancestry.
    Last edited by 1798; 5 October 2015, 03:28 AM. Reason: mistake

    Leave a comment:


  • 192971
    replied
    My West-Finnish results are below. I find it hard to see what is so 'ultimate' in these. Population percents seem normal.

    In Oracle, Finland_West population is missing and somehow I end up having most shared roots with Ing(e)rian (the component 'Inkeri' is Ingria in Finnish). Ingrian Finns moved to Ingria as late as 17th century, and they are not ancestral to me.

    The 4-Ancestors Oracle results are again as 'random' as one could expect. Not totally random, but still not very convincing.

    # Population Percent
    1 ENF 34.84
    2 WHG-UHG 33.66
    3 ANE 19.94
    4 Siberian 5.38
    5 Caucas-Gedrosia 3.3
    6 Arctic 1.4
    7 Amerindian 1.02
    8 Subsaharian 0.45

    Single Population Sharing:
    1 Ingerian 1.66
    2 Finn 2.41
    3 Finland_South 3.22
    4 Russian_Kostroma 3.28
    5 North-Russian 4.06
    6 Karelian 4.33
    7 Finland_North 4.52
    8 Swedish 4.69
    9 Russian_Tver 4.87
    10 Russian_Archangelsk 5.3

    Mixed Mode Population Sharing:
    1 85.3% Ingerian + 14.7% Inkeri @ 0.62
    2 89.6% Ingerian + 10.4% Hungary @ 0.77
    3 93.3% Ingerian + 6.7% Swiss @ 0.77
    4 90.5% Ingerian + 9.5% Germany_South @ 0.77

    4-Ancestors Oracle
    Using 4 populations approximation:
    1 Orcadian + Saami + Swedish + Ukrainian_East @ 1.081696
    2 Icelandic + Saami + Swedish + Ukrainian_East @ 1.094846

    Leave a comment:


  • 1798
    replied
    Originally posted by kevinduffy View Post
    Kit Num: F415715
    Threshold of components set to 1.000
    Threshold of method set to 0.25%
    Personal data has been read. 20 approximations mode.
    Gedmatch.Com

    MDLP K13 Ultimate 4-Ancestors Oracle

    This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
    Questions about results should be sent to him at: [email protected]
    Original concept proposed by Sergey Kozlov.
    Many thanks to Alexandr for helping us get this web version developed.

    MDLP K13 'Ultimate' Oracle

    Admix Results (sorted):

    # Population Percent
    1 ENF 44.02
    2 WHG-UHG 28.14
    3 ANE 19.31
    4 Caucas-Gedrosia 7.85


    Finished reading population data. 662 populations found.
    13 components mode.

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

    Least-squares method.

    Using 1 population approximation:
    1 North_European @ 1.736589
    2 Welsh @ 2.171997
    3 English_GBR @ 2.206724
    4 European_Utah @ 2.351213
    5 Belgian @ 2.692698
    6 Germany_North @ 2.944391
    7 Slovenian2 @ 3.750807
    8 North_German @ 3.997185
    9 Swede @ 4.844583
    10 English_Cornwall_GBR @ 4.974144
    11 South-German @ 5.014309
    12 Czech2 @ 5.146169
    13 German @ 5.172989
    14 English_Kent_GBR @ 5.360534
    15 Sweden @ 5.382270
    16 Czech @ 5.414677
    17 Germany_South @ 5.466605
    18 Slovak @ 5.583371
    19 Austrian @ 5.655535
    20 Slovenian @ 5.821773

    Using 2 populations approximation:
    1 50% English_GBR +50% European_Utah @ 0.962761


    Using 3 populations approximation:
    1 50% Czech2 +25% English_Kent_GBR +25% French @ 0.782440


    Using 4 populations approximation:
    1 Czech2 + English_GBR + French + Swede @ 0.694811
    2 English_GBR + French + Germany_North + Slovak @ 0.750270
    3 Czech2 + English_Kent_GBR + French + Slovenian2 @ 0.765860
    4 French + Germany_North + Germany_North + Germany_North @ 0.779164
    5 Czech2 + Czech2 + English_Kent_GBR + French @ 0.782440
    6 Czech2 + English_GBR + French + Germany_North @ 0.786121
    7 Czech2 + English_GBR + French + North_German @ 0.786296
    8 Czech2 + English_Cornwall_GBR + French + Slovenian2 @ 0.800700
    9 Basque_French + Moldavian + Russian_Voronezh + Ukranian @ 0.804896
    10 French + North_European + Slovenian2 + Swede @ 0.818001
    11 Russian_Voronezh + Slovenian + Spanish_Pais_Vasco_IBS + Ukranian @ 0.824007
    12 French + North_European + Sorbs + Welsh @ 0.840242
    13 Czech2 + Czech2 + English_Cornwall_GBR + French @ 0.843319
    14 Czech2 + English_Cornwall_GBR + French + Germany_North @ 0.844575
    15 English_GBR + French + Polish + Welsh @ 0.847485
    16 Basque_French + Moldavian + Russian_Smolensk + Ukranian @ 0.850021
    17 French + Germany_North + Germany_North + North_European @ 0.854725
    18 Basque_French + Center-Russian + Moldavian + Ukranian @ 0.859370
    19 Basque_French + East-Belarusian + Moldavian + Ukranian @ 0.864104
    20 Basque_French + Moldavian + Polish + Russian_Voronezh @ 0.867311

    Done.

    Elapsed time 22.4504 seconds.
    This a not a good calculator for the Irish. My wifes result is Cornwall and mine Argyll.

    Leave a comment:


  • kevinduffy
    replied
    Kit Num: F415715
    Threshold of components set to 1.000
    Threshold of method set to 0.25%
    Personal data has been read. 20 approximations mode.
    Gedmatch.Com

    MDLP K13 Ultimate 4-Ancestors Oracle

    This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
    Questions about results should be sent to him at: [email protected]
    Original concept proposed by Sergey Kozlov.
    Many thanks to Alexandr for helping us get this web version developed.

    MDLP K13 'Ultimate' Oracle

    Admix Results (sorted):

    # Population Percent
    1 ENF 44.02
    2 WHG-UHG 28.14
    3 ANE 19.31
    4 Caucas-Gedrosia 7.85


    Finished reading population data. 662 populations found.
    13 components mode.

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

    Least-squares method.

    Using 1 population approximation:
    1 North_European @ 1.736589
    2 Welsh @ 2.171997
    3 English_GBR @ 2.206724
    4 European_Utah @ 2.351213
    5 Belgian @ 2.692698
    6 Germany_North @ 2.944391
    7 Slovenian2 @ 3.750807
    8 North_German @ 3.997185
    9 Swede @ 4.844583
    10 English_Cornwall_GBR @ 4.974144
    11 South-German @ 5.014309
    12 Czech2 @ 5.146169
    13 German @ 5.172989
    14 English_Kent_GBR @ 5.360534
    15 Sweden @ 5.382270
    16 Czech @ 5.414677
    17 Germany_South @ 5.466605
    18 Slovak @ 5.583371
    19 Austrian @ 5.655535
    20 Slovenian @ 5.821773

    Using 2 populations approximation:
    1 50% English_GBR +50% European_Utah @ 0.962761


    Using 3 populations approximation:
    1 50% Czech2 +25% English_Kent_GBR +25% French @ 0.782440


    Using 4 populations approximation:
    1 Czech2 + English_GBR + French + Swede @ 0.694811
    2 English_GBR + French + Germany_North + Slovak @ 0.750270
    3 Czech2 + English_Kent_GBR + French + Slovenian2 @ 0.765860
    4 French + Germany_North + Germany_North + Germany_North @ 0.779164
    5 Czech2 + Czech2 + English_Kent_GBR + French @ 0.782440
    6 Czech2 + English_GBR + French + Germany_North @ 0.786121
    7 Czech2 + English_GBR + French + North_German @ 0.786296
    8 Czech2 + English_Cornwall_GBR + French + Slovenian2 @ 0.800700
    9 Basque_French + Moldavian + Russian_Voronezh + Ukranian @ 0.804896
    10 French + North_European + Slovenian2 + Swede @ 0.818001
    11 Russian_Voronezh + Slovenian + Spanish_Pais_Vasco_IBS + Ukranian @ 0.824007
    12 French + North_European + Sorbs + Welsh @ 0.840242
    13 Czech2 + Czech2 + English_Cornwall_GBR + French @ 0.843319
    14 Czech2 + English_Cornwall_GBR + French + Germany_North @ 0.844575
    15 English_GBR + French + Polish + Welsh @ 0.847485
    16 Basque_French + Moldavian + Russian_Smolensk + Ukranian @ 0.850021
    17 French + Germany_North + Germany_North + North_European @ 0.854725
    18 Basque_French + Center-Russian + Moldavian + Ukranian @ 0.859370
    19 Basque_French + East-Belarusian + Moldavian + Ukranian @ 0.864104
    20 Basque_French + Moldavian + Polish + Russian_Voronezh @ 0.867311

    Done.

    Elapsed time 22.4504 seconds.

    Leave a comment:


  • gatty
    replied
    Here are my gedmatch results.

    Ftdna

    [spoiler]Admix Results (sorted):

    # Population Percent
    1 ENF 43.24
    2 WHG-UHG 28.23
    3 ANE 20.9
    4 Caucas-Gedrosia 4.86
    5 Amerindian 0.95
    6 ASI 0.64
    7 NearEast 0.45
    8 Subsaharian 0.34
    9 Arctic 0.22
    10 EastAsian 0.17

    Single Population Sharing:

    # Population (source) Distance
    1 English_GBR 2.22
    2 North_German 2.73
    3 English_Cornwall_GBR 2.82
    4 North_European 2.96
    5 Germany_North 3.23
    6 Sweden 3.64
    7 Welsh 3.8
    8 Scottish_Argyll_Bute_GBR 3.83
    9 English_Kent_GBR 3.84
    10 Swede 3.95
    11 European_Utah 4.27
    12 Belgian 4.51
    13 Slovenian2 4.69
    14 Orcadian 5.17
    15 German 5.25
    16 Slovak 5.78
    17 Czech 5.98
    18 Czech2 6.06
    19 Sorbs 6.16
    20 Austrian 6.54

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 89.8% English_Kent_GBR + 10.2% Roma_BH @ 1.23
    2 91.1% English_Kent_GBR + 8.9% Roma_Bulgarian @ 1.24
    3 91.7% English_Kent_GBR + 8.3% Roma_Macedonian @ 1.26
    4 90.4% English_Kent_GBR + 9.6% Roma_Slovenian @ 1.26
    5 91% English_Kent_GBR + 9% Roma @ 1.28
    6 93.4% English_Kent_GBR + 6.6% Parsi @ 1.29
    7 69.3% Russian_Smolensk + 30.7% Spanish_Valencia_IBS @ 1.29
    8 93.6% English_Kent_GBR + 6.4% Iranian @ 1.35
    9 68.5% Russian_Smolensk + 31.5% Spanish_Cantabria_IBS @ 1.36
    10 92.6% English_Kent_GBR + 7.4% Tajik_tadjik_pl @ 1.42
    11 93% English_Kent_GBR + 7% Azerbaijani @ 1.43
    12 93.9% English_Cornwall_GBR + 6.1% Roma_Bulgarian @ 1.43
    13 90.3% Scottish_Argyll_Bute_GBR + 9.7% Maltese @ 1.44
    14 93.3% English_Kent_GBR + 6.7% Kurd_WGA @ 1.45
    15 92.7% English_Kent_GBR + 7.3% Turkmen @ 1.46
    16 78.8% Scottish_Argyll_Bute_GBR + 21.2% Swiss @ 1.46
    17 89.6% Scottish_Argyll_Bute_GBR + 10.4% Italian_WestSicilian @ 1.46
    18 93.2% English_Kent_GBR + 6.8% Baku_WGA @ 1.46
    19 93.3% English_Kent_GBR + 6.7% Kurd @ 1.47
    20 79.1% English_Cornwall_GBR + 20.9% Inkeri @ 1.47

    Least-squares method.

    Using 1 population approximation:
    1 English_GBR @ 2.336164
    2 North_German @ 2.812779
    3 English_Cornwall_GBR @ 2.907866
    4 North_European @ 3.226553
    5 Germany_North @ 3.450758
    6 Sweden @ 3.621289
    7 English_Kent_GBR @ 3.934721
    8 Swede @ 3.960720
    9 Scottish_Argyll_Bute_GBR @ 3.964923
    10 Welsh @ 4.171825
    11 European_Utah @ 4.785240
    12 Belgian @ 4.962938
    13 Slovenian2 @ 5.192671
    14 Orcadian @ 5.336332
    15 German @ 5.682569
    16 Sorbs @ 6.202446
    17 Slovak @ 6.308795
    18 Czech @ 6.362631
    19 Czech2 @ 6.710639
    20 Norwegian @ 6.921367

    Using 2 populations approximation:
    1 50% Belgian +50% Scottish_Argyll_Bute_GBR @ 1.550540


    Using 3 populations approximation:
    1 50% Poland +25% Spanish_Pais_Vasco_IBS +25% Vepsa @ 0.843633


    Using 4 populations approximation:
    1 French_South + Poland + Russian_Smolensk + Vepsa @ 0.754485
    2 Czech + Russian_Smolensk + Spanish_Pais_Vasco_IBS + Vepsa @ 0.761542
    3 Russia + Slovak + Spanish_Pais_Vasco_IBS + Vepsa @ 0.802585
    4 Basque_French + Polish + Russian_Smolensk + Vepsa @ 0.828800
    5 Basque_Spanish + Russian_Smolensk + Russian_Smolensk + Vepsa @ 0.832547
    6 Poland + Poland + Spanish_Pais_Vasco_IBS + Vepsa @ 0.843633
    7 English_Cornwall_GBR + English_Kent_GBR + French + Vepsa @ 0.851031
    8 Czech2 + Russia + Spanish_Pais_Vasco_IBS + Vepsa @ 0.851871
    9 German + Spanish_Pais_Vasco_IBS + Vepsa + West-Belarusian @ 0.854909
    10 German + Russian_Smolensk + Spanish_Pais_Vasco_IBS + Vepsa @ 0.857737
    11 Slovak + Spanish_Pais_Vasco_IBS + Vepsa + West-Belarusian @ 0.866571
    12 Basque_French + Russian_Orjol + Russian_Smolensk + Vepsa @ 0.867074
    13 Russian_Smolensk + Slovak + Spanish_Pais_Vasco_IBS + Vepsa @ 0.876363
    14 Basque_French + Russian_Smolensk + Russian_Smolensk + Vepsa @ 0.879244
    15 Russian_Smolensk + Sorbs + Spanish_Pais_Vasco_IBS + Vepsa @ 0.879645
    16 French_South + Poland + Russian_Orjol + Vepsa @ 0.889149
    17 Latvian + Slovenian + Spanish_Pais_Vasco_IBS + Vepsa @ 0.890190
    18 French_South + Poland + Russian_Voronezh + Vepsa @ 0.892408
    19 East-Belarusian + French_South + Poland + Vepsa @ 0.896246
    20 French_South + Russia + Slovak + Vepsa @ 0.896858 [/spoiler]


    23andMe

    [spoiler]Admix Results (sorted):

    # Population Percent
    1 ENF 42.26
    2 WHG-UHG 27.34
    3 ANE 22.49
    4 Caucas-Gedrosia 5.87
    5 NearEast 0.97
    6 Amerindian 0.81
    7 Oceanian 0.15
    8 EastAsian 0.06
    9 Subsaharian 0.05

    Single Population Sharing:

    # Population (source) Distance
    1 North_European 2.81
    2 North_German 2.91
    3 English_GBR 3.13
    4 Welsh 3.31
    5 Germany_North 3.35
    6 Slovenian2 4.13
    7 Belgian 4.18
    8 English_Cornwall_GBR 4.25
    9 Sweden 4.35
    10 Swede 4.44
    11 German 4.54
    12 European_Utah 4.83
    13 Slovak 5.02
    14 Scottish_Argyll_Bute_GBR 5.08
    15 Czech2 5.4
    16 English_Kent_GBR 5.63
    17 Austrian 5.85
    18 Germany_South 6.06
    19 South-German 6.2
    20 Czech 6.21

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 92.5% English_Cornwall_GBR + 7.5% Iranian @ 1.01
    2 92% English_Cornwall_GBR + 8% Kurd_WGA @ 1.04
    3 92% English_Cornwall_GBR + 8% Kurd @ 1.05
    4 91.8% English_Cornwall_GBR + 8.2% Azerbaijani @ 1.11
    5 92% English_Cornwall_GBR + 8% Baku_WGA @ 1.12
    6 92.2% English_Cornwall_GBR + 7.8% Uzbekistani_Jew @ 1.19
    7 91.6% English_Cornwall_GBR + 8.4% Azerbaijani_Dagestan @ 1.2
    8 91.1% English_Cornwall_GBR + 8.9% Kumyk @ 1.27
    9 92.7% English_Cornwall_GBR + 7.3% Uzbek_WGA @ 1.31
    10 90.3% English_Kent_GBR + 9.7% Iranian @ 1.39
    11 91.4% English_Cornwall_GBR + 8.6% Lak @ 1.4
    12 91.4% English_Cornwall_GBR + 8.6% Tabasaran @ 1.42
    13 91.5% English_Cornwall_GBR + 8.5% Kabardin @ 1.45
    14 90.7% English_Cornwall_GBR + 9.3% Kumyk_Stalskoe @ 1.46
    15 90.8% Scottish_Argyll_Bute_GBR + 9.2% Jew_Tat @ 1.47
    16 90.9% Scottish_Argyll_Bute_GBR + 9.1% Azerbaijani_Jew @ 1.47
    17 91.3% English_Cornwall_GBR + 8.7% Avar @ 1.47
    18 92.4% English_Cornwall_GBR + 7.6% Azerbaijani_Jew @ 1.47
    19 91.3% Scottish_Argyll_Bute_GBR + 8.7% Georgian_Jew @ 1.48
    20 92.6% English_Cornwall_GBR + 7.4% Parsi @ 1.49


    Least-squares method.

    Using 1 population approximation:
    1 North_German @ 2.869889
    2 North_European @ 3.108906
    3 English_GBR @ 3.360218
    4 Germany_North @ 3.516013
    5 Welsh @ 3.708270
    6 Sweden @ 4.328987
    7 Swede @ 4.402972
    8 English_Cornwall_GBR @ 4.465067
    9 Slovenian2 @ 4.569434
    10 Belgian @ 4.740137
    11 German @ 4.862438
    12 Scottish_Argyll_Bute_GBR @ 5.269455
    13 European_Utah @ 5.424862
    14 Slovak @ 5.427488
    15 English_Kent_GBR @ 5.933351
    16 Czech2 @ 5.965976
    17 Sorbs @ 6.526643
    18 Czech @ 6.586868
    19 Austrian @ 6.624165
    20 Germany_South @ 6.824989

    Using 2 populations approximation:
    1 50% North_European +50% North_German @ 2.372735


    Using 3 populations approximation:
    1 50% English_Cornwall_GBR +25% France +25% Vepsa @ 1.471400


    Using 4 populations approximation:
    1 English_Cornwall_GBR + English_Cornwall_GBR + France + Vepsa @ 1.471400
    2 English_GBR + France + Scottish_Argyll_Bute_GBR + Vepsa @ 1.574680
    3 English_Cornwall_GBR + France + Scottish_Argyll_Bute_GBR + Vepsa @ 1.587083
    4 North_German + Russian_Smolensk + Spanish_Aragon_IBS + Vepsa @ 1.591090
    5 English_Cornwall_GBR + France + North_German + Vepsa @ 1.637359
    6 North_German + Russian_Smolensk + Spanish_Valencia_IBS + Vepsa @ 1.640721
    7 North_German + Russian_Smolensk + Spanish_Cantabria_IBS + Vepsa @ 1.647025
    8 English_Cornwall_GBR + English_GBR + France + Vepsa @ 1.663092
    9 Center-Russian + North_German + Spanish_Aragon_IBS + Vepsa @ 1.667986
    10 English_GBR + English_GBR + English_GBR + Vepsa @ 1.672587
    11 English_Cornwall_GBR + Russian_Smolensk + Spanish_Cataluna_IBS + Vepsa @ 1.676671
    12 North_German + Russian_Smolensk + Spanish_Castilla_la_Mancha_IBS + Vepsa @ 1.684340
    13 Belgian + English_Cornwall_GBR + English_GBR + Vepsa @ 1.694717
    14 Germany_North + Russian_Smolensk + Spanish_Cantabria_IBS + Vepsa @ 1.705147
    15 English_Cornwall_GBR + English_GBR + Vepsa + Welsh @ 1.715993
    16 France + North_European + Scottish_Argyll_Bute_GBR + Vepsa @ 1.717409
    17 Russian_Smolensk + Slovenian2 + Spanish_Cantabria_IBS + Vepsa @ 1.718187
    18 Center-Russian + North_German + Spanish_Valencia_IBS + Vepsa @ 1.730189
    19 French + Scottish_Argyll_Bute_GBR + Vepsa + Welsh @ 1.739644
    20 English_Cornwall_GBR + French + North_German + Vepsa @ 1.742092

    Done.[/spoiler]

    Leave a comment:


  • 1798
    started a topic MDLP K13 Ultimate beta-calculator

    MDLP K13 Ultimate beta-calculator

    My Wife
    # Population Percent
    1 ENF 43.54
    2 WHG-UHG 28.11
    3 ANE 21.57
    4 Caucas-Gedrosia 6.31
    5 ASI 0.47
    Mine
    # Population Percent
    1 ENF 42.46
    2 WHG-UHG 28.96
    3 ANE 22.90
    4 Caucas-Gedrosia 4.71
Working...
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