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Thread: G25 Unscaled - Modern Averages results (Hungarian)

  1. #1
    Senior Member Gergő Marosvári's Avatar
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    Default G25 Unscaled - Modern Averages results (Hungarian)

    This is how my Unscaled Modern Averages results look like currently.

    On the first picture, i didn't change anything on the calculator.
    While on the second picture, i deleted the Slovak reference and replaced it with my closest Hungarian individual sample.

    Of course i prefer my second picture's results, but the first one too are "not far away from the truth".

    My results without any changes.
    Spoiler!


    My results without Slovak and with my closest Hungarian individual.
    Spoiler!

  2. #2
    Senior Member Gergő Marosvári's Avatar
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    Steppe horsemen warriors
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    Mostly Hungarian 1/16th Zipser German Distant Rusyn and Slovak and who knows what else
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    U2e1 (steppe?) or U2e1b1 (Hungarian Conqueror: Karos1/12 - Karos-Eperjesszög)
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    My two way mode (without any changes) are more than interesting...

    Target: Gergő
    Distance: 1.9662% / 0.01966183 | R2P
    89.4 Slovakian
    10.6 Nepalese_F

  3. #3
    Whip it good oszkar07's Avatar
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    Target: OSZK
    Distance: 1.0399% / 0.01039926 | ADC: 0.25x RC
    37.4 Polish_Kashubian
    19.6 Italian_Lombardy
    15.8 German_East
    11.6 English_Cornwall
    8.6 Basque_French
    3.4 Shor
    2.2 Sakha
    1.4 Biaka

    Target: OSZK
    Distance: 1.1663% / 0.01166301 | R3P
    45.8 Polish_Kashubian
    33.6 Italian_Lombardy
    20.6 English_Cornwall
    https://vocaroo.com/1f1IYpCqGQPy
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  4. #4
    Veteran Member MandM's Avatar
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    Target: Milenko
    Distance: 1.1330% / 0.01133008 | R2P

    68.0 Macedonian
    32.0 Slovakian

  5. #5
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    Distance to: Grace_unscaled
    0.01208832 Icelandic
    0.01263666 Irish
    0.01282204 Scottish
    0.01320363 Orcadian
    0.01343240 Welsh
    0.01360632 Danish
    0.01372627 English
    0.01447691 English_Cornwall
    0.01449887 Dutch
    0.01573961 French_Brittany
    0.01580533 Norwegian
    0.01676056 Swedish
    0.01770609 Afrikaner
    0.01833576 Shetlandic
    0.02079689 Belgian
    0.02083185 French_Pas-de-Calais
    0.02138094 German
    0.02219673 French_Seine-Maritime
    0.02239916 French_Nord
    0.02363444 French_Paris
    0.02445043 French_Alsace
    0.02549814 Swiss_German
    0.02817772 French_Occitanie
    0.02986451 French_Auvergne
    0.03071669 Swiss_French


    Target: Grace_unscaled
    Distance: 1.0736% / 0.01073632
    63.2 Icelandic
    28.0 Irish
    3.0 North_Ossetian
    2.6 Spanish_Soria
    2.0 Somali
    1.0 Yakut
    0.2 Piapoco


    Target: Grace_unscaled
    Distance: 1.0788% / 0.01078807 | ADC: 0.25x RC
    59.2 Icelandic
    34.4 Irish
    3.0 North_Ossetian
    2.2 Somali
    1.2 Yakut


    Target: Grace_unscaled
    Distance: 1.1419% / 0.01141907 | ADC: 0.5x RC
    56.4 Icelandic
    35.8 Irish
    7.8 French_Pas-de-Calais

    With Icelandic removed.


    Target: Grace_unscaled
    Distance: 1.1507% / 0.01150654
    75.2 Irish
    19.2 Swedish
    2.0 North_Ossetian
    1.8 Ethiopian_Jew
    1.0 Yakut
    0.4 Cossack_Kuban
    0.2 Udmurt
    0.2 Wichi


    Target: Grace_unscaled
    Distance: 1.1518% / 0.01151846 | ADC: 0.25x RC
    74.0 Irish
    21.2 Swedish
    2.0 North_Ossetian
    1.8 Ethiopian_Jew
    1.0 Yakut

    Target: Grace_unscaled
    Distance: 1.1955% / 0.01195526 | ADC: 0.5x RC
    57.6 Irish
    36.8 Danish
    5.6 Orcadian

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    These data don't make sense to me. I find much more useful and interesting EUROGENES with its 13/15 components and a reference to population averages and distances. To know that I can be modeled with 3-4 populations it's useless.

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    Quote Originally Posted by Nausevar View Post
    These data don't make sense to me. I find much more useful and interesting EUROGENES with its 13/15 components and a reference to population averages and distances. To know that I can be modeled with 3-4 populations it's useless.
    Gedmatch is a outdate tool

    Global 25 is the present and the futur.

    + More samples on Global 25 that Gedmatch.

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