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Thread: My K36 Oracles.

  1. #1
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    My K36 Oracles.

    I thought I would share in a separate thread since Lukas found them to be quite complex. His response.

    Interesting case. What's your ethnic background? I have no idea from your results. Maybe someone can shed some light on this?

    K36 Results

    Population
    Amerindian 0.33
    Arabian 2.64
    Armenian 0.68
    Basque 0.93
    Central_African -
    Central_Euro 3.70
    East_African -
    East_Asian -
    East_Balkan 3.80
    East_Central_Asian -
    East_Central_Euro 11.36
    East_Med 4.73
    Eastern_Euro 2.23
    Fennoscandian 7.22
    French 1.34
    Iberian 10.99
    Indo-Chinese -
    Italian 15.51
    Malayan -
    Near_Eastern -
    North_African 0.39
    North_Atlantic 8.78
    North_Caucasian 3.35
    North_Sea 17.60
    Northeast_African -
    Oceanian -
    Omotic -
    Pygmy -
    Siberian -
    South_Asian 0.48
    South_Central_Asian -
    South_Chinese -
    Volga-Ural 1.66
    West_African -
    West_Caucasian 0.42
    West_Med 1.86

    Least-squares method.

    Using 1 population approximation:
    1 German_Volga @ 11,657049
    2 German @ 11,872539
    3 Man_Isle @ 13,824425
    4 Austria_Tyrol @ 14,740585
    5 IT_Veneto @ 15,003817
    6 Hungary @ 15,058956
    7 Holland @ 15,472359
    8 Slovenian @ 15,848438
    9 Austria @ 15,926022
    10 Croatian @ 16,027176
    11 German_SouthWest @ 16,080227
    12 Romania @ 16,369554
    13 France @ 16,418563
    14 England @ 16,512075
    15 IT_North @ 16,719058
    16 Scotland @ 16,726028
    17 Montenegrian @ 17,02511
    18 Serbian @ 17,142584
    19 Wales @ 17,278421
    20 IT_Friuli @ 17,322792
    255 iterations.

    Using 2 populations approximation:
    1 IT_North+Sweden @ 9,224472
    2 Romania+Scotland @ 9,573329
    3 Kosovo+Scotland @ 9,698637
    4 IT_Veneto+Sweden @ 9,722358
    5 GR_Macedonia2+Sweden @ 9,75709
    6 IT_North+Denmark @ 9,772827
    7 Albania_Montenegro+Scotland @ 9,790468
    8 Kosovo+Denmark @ 9,821017
    9 Bulgaria+Scotland @ 9,829405
    10 IT_Veneto+Denmark @ 9,848195


    Using 3 populations approximation:
    1 50% Sweden +25% GR_Macedonia2 +25% IT_North @ 8,79061
    2 50% IT_North +25% Scotland +25% PL_Sudovia @ 8,806938
    3 50% IT_North +25% Scotland +25% PL_Wielkopolska @ 8,81935
    4 50% IT_North +25% Scotland +25% Pl_Kashubians @ 8,874802
    5 50% Sweden +25% IT_North +25% Kosovo @ 8,988602
    6 50% IT_North +25% Sweden +25% Pl_north @ 8,993851
    7 50% IT_North +25% Scotland +25% Pl_north @ 9,010091
    8 50% IT_North +25% Sweden +25% PL_Wielkopolska @ 9,032674
    9 50% Sweden +25% IT_North +25% Albania_South @ 9,071284
    10 50% IT_North +25% Denmark +25% PL_Wielkopolska @ 9,076168


    Using 4 populations approximation:
    1 GR_Macedonia2+IT_North+Scotland+Sweden @ 8,776249
    2 GR_Macedonia2+IT_North+Sweden+Sweden @ 8,79061
    3 IT_North+Romania+Scotland+Sweden @ 8,796188
    4 IT_Tuscany+IT_North+Scotland+PL_Sudovia @ 8,798405
    5 IT_North+Bulgaria+Scotland+Sweden @ 8,805394
    6 IT_North+IT_North+Scotland+PL_Sudovia @ 8,806938
    7 IT_North+IT_North+Scotland+PL_Wielkopolska @ 8,81935
    8 IT_North+Kosovo+Scotland+Sweden @ 8,82858
    9 GR_Macedonia2+IT_Veneto+Scotland+Sweden @ 8,866032
    10 IT_North+IT_North+Scotland+Pl_Kashubians @ 8,874802



    Gaussian method.
    Noise dispersion set to 0,130062

    Using 1 population approximation:
    1 Man_Isle @ 5,95139
    2 Bosnian @ 6,146444
    3 Hungary @ 6,262704
    4 Croatian @ 6,266604
    5 IT_North @ 6,363896
    6 IT_Veneto @ 6,370718
    7 Romania @ 6,696576
    8 Serbian @ 6,705766
    9 Montenegrian @ 6,719103
    10 Austria_Tyrol @ 7,289913
    11 France @ 7,381964
    12 Slovenian @ 7,396801
    13 IT_Friuli @ 7,508855
    14 Albania_Montenegro @ 7,577176
    15 CH_Ticino @ 7,826383
    16 Rusyn_NE_Slovakia @ 7,911254
    17 Hungarian_Slovenian @ 8,169284
    18 Moldavian @ 8,275591
    19 German @ 8,517619
    20 Slovak @ 8,518626
    255 iterations.

    Using 2 populations approximation:
    1 CH_Ticino+PL_Wielkopolska @ 4,466326
    2 IT_Friuli+Denmark @ 4,497515
    3 CH_Ticino+Pl_north @ 4,546765
    4 IT_Friuli+Norway @ 4,583304
    5 CH_Ticino+PL_SE_Carpathia @ 4,637495
    6 IT_Friuli+Orcadian @ 4,65909
    7 IT_Friuli+Sweden @ 4,674748
    8 CH_Ticino+Slovak @ 4,685156
    9 CH_Ticino+Denmark @ 4,74153
    10 IT_Friuli+Holland @ 4,747948


    Using 3 populations approximation:
    1 50% CH_Ticino +25% England +25% PL_Sudovia @ 4,139228
    2 50% CH_Ticino +25% Scotland +25% PL_Sudovia @ 4,154306
    3 50% CH_Ticino +25% Holland +25% PL_Sudovia @ 4,158078
    4 50% CH_Ticino +25% Man_Isle +25% PL_Sudovia @ 4,163261
    5 50% CH_Ticino +25% Denmark +25% PL_Sudovia @ 4,166272
    6 50% CH_Ticino +25% Orcadian +25% PL_Sudovia @ 4,177577
    7 50% CH_Ticino +25% Denmark +25% Russian_Voronezh @ 4,190835
    8 50% CH_Ticino +25% British_mixed +25% PL_Sudovia @ 4,204507
    9 50% CH_Ticino +25% Wales +25% PL_Sudovia @ 4,212057
    10 50% CH_Ticino +25% Denmark +25% Russian_Oryol @ 4,228742


    Using 4 populations approximation:
    1 CH_Ticino+CH_Ticino+England+PL_Sudovia @ 4,139228
    2 CH_Ticino+CH_Ticino+Scotland+PL_Sudovia @ 4,154306
    3 CH_Ticino+CH_Ticino+Holland+PL_Sudovia @ 4,158078
    4 CH_Ticino+CH_Ticino+Man_Isle+PL_Sudovia @ 4,163261
    5 CH_Ticino+CH_Ticino+Denmark+PL_Sudovia @ 4,166272
    6 CH_Ticino+CH_Ticino+Orcadian+PL_Sudovia @ 4,177577
    7 CH_Ticino+CH_Ticino+Denmark+Russian_Voronezh @ 4,190835
    8 CH_Ticino+CH_Ticino+British_mixed+PL_Sudovia @ 4,204507
    9 CH_Ticino+CH_Ticino+Wales+PL_Sudovia @ 4,212057
    10 CH_Ticino+CH_Ticino+Denmark+Russian_Oryol @ 4,228742
    Last edited by Mixed; 04-20-2017 at 10:42 PM.

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