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Thread: Share some of your favouarate GEDmatch Oracles

  1. #1
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    Share some of your favouarate GEDmatch Oracles

    PuntDNAl K12 Modern

    PuntDNAl K12 modern.PNG



    MDLP World-22

    MDLP world-K22.PNG


    HarappaWorld

    harappaWorld.PNG
    Last edited by SWAHILLI_PRINCE16; 12-10-2017 at 02:22 PM.
    Gedrosia K12 Vahaduo

    Target: Me
    Distance: 0.5466% / 0.54658687

    55.3 Esan
    24.4 Masai
    11.9 Yoruba
    3.2 Balochi
    1.8 Makrani
    1.5 Nihali
    1.1 Ethiopian_Jew
    0.7 Somali
    0.1 Kusunda

  2. The Following User Says Thank You to SWAHILLI_PRINCE16 For This Useful Post:

     therrien.joel (12-11-2017)

  3. #2
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    Sure, why not. It's always interesting seeing how the oracle tries to get me to fit into a two population model. Not necessarily saying these are my "favorites" so much as I don't know that I have any. Aside from the fact that MDLP and Eurogenes don't seem to work so well compared to the others. But these give a good idea of the typical range of results that I see. Though I was tempted to show the puntDNAL k12. That's the only one that really goes all out; I get things ranging from Mongolian all the way to Korean and Japanese!

    puntDNAL k13 global

    puntDNAL k13 global.jpeg

    Gedrosia Near east k13

    Gedrosia near east k13.jpeg

    Gedrosia k9 ASI (Only because it also gives a fairly low distance score, not trying to favor Gedrosia)

    Gedrosia k9 ASI.jpeg

  4. The Following User Says Thank You to therrien.joel For This Useful Post:

     SWAHILLI_PRINCE16 (12-11-2017)

  5. #3
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    puntDNAL K13 Global:

    Screenshot (5).png

    Eurogenes EUtest V2 K15:

    Screenshot (6).png

    World9:

    Screenshot (9).png

  6. The Following User Says Thank You to kevinduffy For This Useful Post:

     SWAHILLI_PRINCE16 (12-11-2017)

  7. #4
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    Think of me as about 3/4 to 4/5 South German and 1/4 to 1/5 English/Scottish. This means I am usually like most calculator's French, German, or South German reference. So, I figure the calculator Oracle has its act together if one of these is at the top for a single item. Almost all get it right. Extra credit is for those that generate multiple population mixes that reach for the areas around South Germany for 3/4 and the Isles for 1/4. Here is the long list that get it right:

    Eurogenes K13:
    French @4.95

    Eurogenes EUtest V2 K15:
    French @6.82
    West_German @7.01

    Eurogenes EUTest (JTest is almost the same):
    FR @4.29
    65.8% FR + 34.2% English @ 2.25

    MDLP K16:
    German (Germany) @3.27
    French_France + German_Germany + Kosovar_Kosovo + Scottish_Argyll_bute @ 2.375760

    MDLP K23b:
    63.6% South_German ( ) + 36.4% French ( )@1.80
    50% French_ +50% South_German_ @ 2.184531

    MDLP World-22:
    German-South (derived)@ 3.08

    MDLP World:
    German-South @1.72
    German + Italian_North + Welsh + Provancal @ 0.706944
    German + Italian_North + German-South + German-South @ 0.824023
    German + Italian_North + Swiss + British @ 0.829647
    German + Italian_North + Provancal + Orcadian @ 0.848248
    German + French + CEU_V + Italian-North @ 0.876882
    German + Italian_North + CEU + Provancal @ 0.897504
    German + German-South + Italian-North + Orcadian @ 0.899436
    German + Italian_North + Swiss + Orcadian @ 0.926735
    German + Italian_North + CEU_V + Provancal @ 0.927453

    Dodecad World9:
    French (HGDP) @1.43

    Dodecad K7b:
    French (HGDP) @1.85

    Dodecad K12b:
    French (Dodecad) @5.13

    HarappaWorld:
    french (hgdp) @3.78

    puntDNAL K13:
    French @4.1

    puntDNAL K15:
    French @2.88
    South_German @3.9

    GedrosiaDNA Eurasia K9 ASI:
    French @4.1

    GedrosiaDNA Near East Neolithic K13:
    [email protected]
    French + French + Scottish + Sicilian @ 3.264132
    English + French + French + Sicilian @ 3.538034

  8. The Following User Says Thank You to randwulf For This Useful Post:

     SWAHILLI_PRINCE16 (12-11-2017)

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