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Thread: Finally ready to start testing a new approach to oracles

  1. #141
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    Quote Originally Posted by KingofPhoenicia001 View Post
    Sort of already posted here, but I guess I didn't give the correct information sorry. I'm Lebanese and 1/8 Albanian. Thank you !

    Eurogenes K15

    Population
    North_Sea -
    Atlantic 8.17
    Baltic 3.99
    Eastern_Euro 5.17
    West_Med 7.98
    West_Asian 18.86
    East_Med 36.52
    Red_Sea 11.67
    South_Asian 1.74
    Southeast_Asian -
    Siberian -
    Amerindian 0.63
    Oceanian 0.10
    Northeast_African 3.03
    Sub-Saharan 2.15
    Eurogenes K15 does not have Albanian as an option. I used Greek instead but if that is not the best choice kindly let me know and I 'll run it with another option.

    Code:
    Starting known populations: Greek=12.5%; Lebanese_Muslim=87.5%; Initial stdeviation=1.7432
    
    Admixture sorted by match quality (smaller is better)
    
    21.2% of Palestinian taken from: Lebanese_Muslim	std dev: 0.93152	match quality:1.926	max diff: 0.99452%
    21.6% of Bedouin taken from: Lebanese_Muslim	std dev: 0.86274	match quality:1.9451	max diff: 1.0823%
    41.9% of Syrian taken from: Lebanese_Muslim	std dev: 0.95457	match quality:2.0108	max diff: 1.0562%
    27.8% of Jordanian taken from: Lebanese_Muslim	std dev: 0.91065	match quality:2.0538	max diff: 1.1432%
    12.4% of Egyptian taken from: Lebanese_Muslim	std dev: 0.91777	match quality:2.0614	max diff: 1.1436%
    10.2% of Saudi taken from: Lebanese_Muslim	std dev: 0.89358	match quality:2.0661	max diff: 1.1726%
    8% of Erzya taken from: Greek	std dev: 0.8648	match quality:2.0724	max diff: 1.2076%
    8.1% of Kargopol_Russian taken from: Greek	std dev: 0.87103	match quality:2.1126	max diff: 1.2416%
    8% of Estonian_Polish taken from: Greek	std dev: 0.88057	match quality:2.1202	max diff: 1.2397%
    8.1% of Ukrainian_Belgorod taken from: Greek	std dev: 0.89462	match quality:2.1237	max diff: 1.2291%
    ----------------------------------------------------------------------------
    Ancestry from paper trail: 50% French Canadian, 25% British Romany, 12.5% Irish and 12.5% Finnish (though half of that may be Welsh)

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

     KingofPhoenicia001 (01-12-2018)

  3. #142
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    Quote Originally Posted by Saba123 View Post
    HarappaWorld

    S-Indian 5.06
    Baloch 28.33
    Caucasian 39.18
    NE-Euro 4.77
    SE-Asian 0.63
    Siberian 0.23
    NE-Asian -
    Papuan -
    American 1.68
    Beringian 0.14
    Mediterranean 5.18
    SW-Asian 12.31
    San 0.06
    E-African 0.50
    Pygmy 0.30
    W-African 1.63

    I'm Iranian
    None of these fits are super great; if the match quality is greater than 2 it should be interpreted as being worse than if the admixture was untouched. And one of the annoying things about these oracle spreadsheets is, yes, they have multiple ethnicities labelled exactly the same, thus the reason you get nonsense options like the first one:

    Code:
    Starting known populations: iranian=100%; Initial stdeviation=0.97851
    
    Admixture sorted by match quality (smaller is better)
    
    49.1% of iranian taken from: iranian	std dev: 0.78427	match quality:3.9763	max diff: 3.1921%
    5.8% of makrani taken from: iranian	std dev: 0.80795	match quality:4.9809	max diff: 4.173%
    4.9% of bhatia taken from: iranian	std dev: 0.8409	match quality:5.0571	max diff: 4.2162%
    5.1% of brahui taken from: iranian	std dev: 0.81598	match quality:5.0667	max diff: 4.2507%
    3.9% of meena taken from: iranian	std dev: 0.82513	match quality:5.0785	max diff: 4.2534%
    3.7% of bihari-brahmin taken from: iranian	std dev: 0.85462	match quality:5.0876	max diff: 4.233%
    3.2% of gujarati-a taken from: iranian	std dev: 0.82814	match quality:5.0913	max diff: 4.2631%
    4.7% of punjabi-arain taken from: iranian	std dev: 0.82577	match quality:5.0956	max diff: 4.2698%
    5.6% of balochi taken from: iranian	std dev: 0.80794	match quality:5.0962	max diff: 4.2883%
    3.2% of kurmi taken from: iranian	std dev: 0.84471	match quality:5.0962	max diff: 4.2515%
    ----------------------------------------------------------------------------
    Ancestry from paper trail: 50% French Canadian, 25% British Romany, 12.5% Irish and 12.5% Finnish (though half of that may be Welsh)

  4. #143
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    Quote Originally Posted by therrien.joel View Post
    Eurogenes K15 does not have Albanian as an option. I used Greek instead but if that is not the best choice kindly let me know and I 'll run it with another option.

    Code:
    Starting known populations: Greek=12.5%; Lebanese_Muslim=87.5%; Initial stdeviation=1.7432
    
    Admixture sorted by match quality (smaller is better)
    
    21.2% of Palestinian taken from: Lebanese_Muslim	std dev: 0.93152	match quality:1.926	max diff: 0.99452%
    21.6% of Bedouin taken from: Lebanese_Muslim	std dev: 0.86274	match quality:1.9451	max diff: 1.0823%
    41.9% of Syrian taken from: Lebanese_Muslim	std dev: 0.95457	match quality:2.0108	max diff: 1.0562%
    27.8% of Jordanian taken from: Lebanese_Muslim	std dev: 0.91065	match quality:2.0538	max diff: 1.1432%
    12.4% of Egyptian taken from: Lebanese_Muslim	std dev: 0.91777	match quality:2.0614	max diff: 1.1436%
    10.2% of Saudi taken from: Lebanese_Muslim	std dev: 0.89358	match quality:2.0661	max diff: 1.1726%
    8% of Erzya taken from: Greek	std dev: 0.8648	match quality:2.0724	max diff: 1.2076%
    8.1% of Kargopol_Russian taken from: Greek	std dev: 0.87103	match quality:2.1126	max diff: 1.2416%
    8% of Estonian_Polish taken from: Greek	std dev: 0.88057	match quality:2.1202	max diff: 1.2397%
    8.1% of Ukrainian_Belgorod taken from: Greek	std dev: 0.89462	match quality:2.1237	max diff: 1.2291%
    Thank you! Hmm maybe another calculator will be better? This is MDLP K16...

    Population
    Amerindian 1.23
    Ancestor -
    Steppe 6.58
    Indian 3.86
    Arctic -
    Australian -
    Caucasian 45.67
    EastAfrican 4.25
    NorthEastEuropean 5.30
    NearEast 11.38
    Neolithic 16.21
    NorthAfrican 4.90
    Oceanic -
    Siberian -
    SouthEastAsian -
    Subsaharian 0.62

    Or maybe puntDNAL K15

    Population
    S_Indian 2.06
    Mediterranean 30.68
    Siberian 0.88
    Wht_Nile_River 2.20
    Amerindian 0.47
    S_African -
    E_Asian -
    Caucasian 27.47
    NE_European 10.88
    Omo_River -
    W_African 0.85
    Horn_Of_Africa 7.95
    Oceanian 0.93
    Beringian 0.53
    SW_Asian 15.09
    78.1% Lebanese (Lebanon) + 21.9% Kosovar (Kosovo) @ 3.3

  5. #144
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    Quote Originally Posted by therrien.joel View Post
    I'm sorry, I can't use those numbers. I need the ones you get on the page that shows the pie chart of your percentages. Not the one you get from the oracle page.
    How's this?

    EUTest

    SOUTH_BALTIC 4.90
    EAST_EURO 4.43
    NORTH-CENTRAL_EURO 10.16
    ATLANTIC 11.98
    WEST_MED 12.42
    EAST_MED 28.37
    WEST_ASIAN 9.89
    MIDDLE_EASTERN 14.76
    SOUTH_ASIAN 1.04
    EAST_AFRICAN 1.55
    EAST_ASIAN -
    SIBERIAN 0.50
    WEST_AFRICAN -

    MDLP World

    Caucaus_Parsia 20.23
    Middle_East 26.40
    Indian 2.16
    South_and_West_European 36.48
    Melanesian -
    Sub_Saharian 1.38
    North_and_East_European 12.20
    Arctic_Amerind -
    East_Asian -
    Paleo_African 0.13
    Mesoamerican 0.77
    North_Asian 0.20

    puntDNAL K15

    S_Indian 1.64
    Mediterranean 37.74
    Siberian 1.25
    Wht_Nile_River -
    Amerindian 0.16
    S_African 0.34
    E_Asian -
    Caucasian 21.87
    NE_European 20.49
    Omo_River 0.45
    W_African -
    Horn_Of_Africa 6.24
    Oceanian -
    Beringian -
    SW_Asian 9.81

  6. #145
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    81.3% Mixed-Slav
    Ethnicity
    + 18.7% Spain Al-Andalus
    Y-DNA
    I2a1b2 East Balkanic
    mtDNA
    U2 Voronezh

    Poland Ukraine Bulgaria Spain
    Quote Originally Posted by therrien.joel View Post
    So, found an error that only happens when I am dealing with people that are 100% something. It isn't anything to do with the algorithm but just that I am doing this in MATLAB and it decided to handle the data differently because I only had a single row of data. I fixed that and now am getting results. since this is the first one that I have an output to show I am giving the entire output. I will trim the remainder down some.

    I am sorting by two alternate methods. The first favors an overall reduction in the deviations in populations (minimizing standard deviation). The second favors no single population blowing up at the expense of all the others. This can result in a good overall "fit" but skew the results by effectively dumping all the error into one population. I am not yet clear on which if either is the best way to sort them.

    So, here are your results:

    Starting known populations: Polish=100%; Initial stdeviation=2.35
    Admixture sorted by standard deviation
    13.6% of Turkish_Aydin taken from: Polish std dev: 0.78807 avg:-0.063077 max diff: 1%
    12.9% of Turkish taken from: Polish std dev: 0.84803 avg:-0.063077 max diff: 1%
    12.2% of Turkish_Kayseri taken from: Polish std dev: 0.85926 avg:-0.063077 max diff: 1%
    14.1% of Nogay taken from: Polish std dev: 0.86903 avg:-0.063077 max diff: 1%
    11.1% of Syrian taken from: Polish std dev: 0.90871 avg:-0.063077 max diff: 1%
    10.9% of Jordanian taken from: Polish std dev: 0.91687 avg:-0.063077 max diff: 1%
    10.7% of Palestinian taken from: Polish std dev: 0.9323 avg:-0.063077 max diff: 1%
    15% of Romani taken from: Polish std dev: 0.9343 avg:-0.063077 max diff: 1.537%
    10.4% of Egyptian taken from: Polish std dev: 0.93431 avg:-0.063077 max diff: 1%
    10.8% of Lebanese_Muslim taken from: Polish std dev: 0.93701 avg:-0.063077 max diff: 1%
    10.9% of Lebanese_Druze taken from: Polish std dev: 0.9432 avg:-0.063077 max diff: 1%
    33.6% of Moldavian taken from: Polish std dev: 0.95509 avg:-0.063077 max diff: 1%
    10.8% of Lebanese_Christian taken from: Polish std dev: 0.9611 avg:-0.063077 max diff: 1%
    23.1% of Romanian taken from: Polish std dev: 0.97749 avg:-0.063077 max diff: 1%
    11.4% of Azerbaijan_Azeri taken from: Polish std dev: 0.97866 avg:-0.063077 max diff: 1%
    12.9% of Balkar taken from: Polish std dev: 0.99446 avg:-0.063077 max diff: 1%
    12.9% of Sephardic_Jew taken from: Polish std dev: 0.99496 avg:-0.063077 max diff: 1%
    9.8% of Samaritan_Jew taken from: Polish std dev: 0.99747 avg:-0.063077 max diff: 1%
    11.1% of Cypriot taken from: Polish std dev: 0.99842 avg:-0.063077 max diff: 1%
    13.9% of Ashkenazy_Jew taken from: Polish std dev: 0.99944 avg:-0.063077 max diff: 1%
    13.5% of Italian_Sicilian taken from: Polish std dev: 1.0009 avg:-0.063077 max diff: 1%
    9.9% of Egyptian_Copts taken from: Polish std dev: 1.0187 avg:-0.063077 max diff: 1%
    11.3% of Tunisian taken from: Polish std dev: 1.021 avg:-0.063077 max diff: 1%
    9.6% of Yemeni taken from: Polish std dev: 1.0274 avg:-0.063077 max diff: 1%
    15.4% of Greek_Central taken from: Polish std dev: 1.0282 avg:-0.063077 max diff: 1%
    12.4% of Afghan_Uzbeki taken from: Polish std dev: 1.0293 avg:-0.063077 max diff: 1%
    13.7% of Kumyk taken from: Polish std dev: 1.0303 avg:-0.063077 max diff: 1%
    10.1% of Assyrian taken from: Polish std dev: 1.0451 avg:-0.063077 max diff: 1%
    10.2% of Armenian taken from: Polish std dev: 1.0726 avg:-0.063077 max diff: 1%
    20.8% of Bulgarian taken from: Polish std dev: 1.0751 avg:-0.063077 max diff: 1%
    17.4% of Albanian taken from: Polish std dev: 1.0777 avg:-0.063077 max diff: 1%
    14.8% of Italian_Abruzzo taken from: Polish std dev: 1.0816 avg:-0.063077 max diff: 1%
    17% of Greek_Thessaly taken from: Polish std dev: 1.0881 avg:-0.063077 max diff: 1%
    15.3% of Puerto_Rican taken from: Polish std dev: 1.0894 avg:-0.063077 max diff: 1%
    10.9% of Algerian taken from: Polish std dev: 1.0918 avg:-0.063077 max diff: 1%
    9.9% of Turkish_Trabzon taken from: Polish std dev: 1.093 avg:-0.063077 max diff: 1%
    10.6% of Iranian taken from: Polish std dev: 1.0957 avg:-0.063077 max diff: 1%
    10.5% of Moroccan taken from: Polish std dev: 1.104 avg:-0.063077 max diff: 1%
    10.6% of Kurdish taken from: Polish std dev: 1.1072 avg:-0.063077 max diff: 1%
    11.7% of Ossetian taken from: Polish std dev: 1.1099 avg:-0.063077 max diff: 1%
    17.7% of Kosovar taken from: Polish std dev: 1.1261 avg:-0.063077 max diff: 1%
    20.7% of Macedonian taken from: Polish std dev: 1.1309 avg:-0.063077 max diff: 1%
    10.8% of Afghan_Hazara taken from: Polish std dev: 1.1353 avg:-0.063077 max diff: 2.2143%
    22.8% of Montenegrin taken from: Polish std dev: 1.1361 avg:-0.063077 max diff: 1%
    24.9% of Serbian taken from: Polish std dev: 1.1368 avg:-0.063077 max diff: 1%
    12.8% of Tadjik taken from: Polish std dev: 1.1393 avg:-0.063077 max diff: 0.78487%
    11.6% of Dagestan_Azeri taken from: Polish std dev: 1.1422 avg:-0.063077 max diff: 1%
    42.1% of Slovak taken from: Polish std dev: 1.1513 avg:-0.063077 max diff: 1%

    Starting known populations: Polish=100%; Initial stdeviation=2.35
    Admixture sorted by largest population deviation

    12.8% of Tadjik taken from: Polish std dev: 1.1393 avg:-0.063077 max diff: 0.78487%
    10.8% of Abkhasian taken from: Polish std dev: 1.1786 avg:-0.063077 max diff: 1%
    12.1% of Adygei taken from: Polish std dev: 1.2301 avg:-0.063077 max diff: 1%
    12.4% of Afghan_Uzbeki taken from: Polish std dev: 1.0293 avg:-0.063077 max diff: 1%
    4.4% of African_American taken from: Polish std dev: 2.01 avg:-0.063077 max diff: 1%
    17.4% of Albanian taken from: Polish std dev: 1.0777 avg:-0.063077 max diff: 1%
    10.9% of Algerian taken from: Polish std dev: 1.0918 avg:-0.063077 max diff: 1%
    7.3% of Amhara taken from: Polish std dev: 1.5203 avg:-0.063077 max diff: 1%
    4.7% of Anuak taken from: Polish std dev: 1.9084 avg:-0.063077 max diff: 1%
    5.8% of Aricultivator taken from: Polish std dev: 1.7552 avg:-0.063077 max diff: 1%
    10.2% of Armenian taken from: Polish std dev: 1.0726 avg:-0.063077 max diff: 1%
    13.9% of Ashkenazy_Jew taken from: Polish std dev: 0.99944 avg:-0.063077 max diff: 1%
    10.1% of Assyrian taken from: Polish std dev: 1.0451 avg:-0.063077 max diff: 1%
    11.4% of Azerbaijan_Azeri taken from: Polish std dev: 0.97866 avg:-0.063077 max diff: 1%
    12.9% of Balkar taken from: Polish std dev: 0.99446 avg:-0.063077 max diff: 1%
    4.8% of Bantu_NE taken from: Polish std dev: 1.9029 avg:-0.063077 max diff: 1%
    4.8% of Bantu_SE taken from: Polish std dev: 1.9032 avg:-0.063077 max diff: 1%
    4.2% of Bantu_SW taken from: Polish std dev: 1.9619 avg:-0.063077 max diff: 1%
    8.1% of Bedouin taken from: Polish std dev: 1.3 avg:-0.063077 max diff: 1%
    100% of Belarusian taken from: Polish std dev: 1.3286 avg:-0.063077 max diff: 1%
    26.3% of Belgian taken from: Polish std dev: 1.6184 avg:-0.063077 max diff: 1%
    5.1% of Biaka_Pygmy taken from: Polish std dev: 1.8677 avg:-0.063077 max diff: 1%
    28.9% of Bosnian taken from: Polish std dev: 1.1856 avg:-0.063077 max diff: 1%
    5.1% of Bulala taken from: Polish std dev: 1.8683 avg:-0.063077 max diff: 1%
    20.8% of Bulgarian taken from: Polish std dev: 1.0751 avg:-0.063077 max diff: 1%
    12.6% of Chechen taken from: Polish std dev: 1.3562 avg:-0.063077 max diff: 1%
    29.5% of Croatian taken from: Polish std dev: 1.3064 avg:-0.063077 max diff: 1%
    11.1% of Cypriot taken from: Polish std dev: 0.99842 avg:-0.063077 max diff: 1%
    11.6% of Dagestan_Azeri taken from: Polish std dev: 1.1422 avg:-0.063077 max diff: 1%
    6.5% of Datog taken from: Polish std dev: 1.6642 avg:-0.063077 max diff: 1%
    4.7% of Dinka taken from: Polish std dev: 1.9159 avg:-0.063077 max diff: 1%
    9.7% of Dominican taken from: Polish std dev: 1.5839 avg:-0.063077 max diff: 1%
    10.4% of Egyptian taken from: Polish std dev: 0.93431 avg:-0.063077 max diff: 1%
    9.9% of Egyptian_Copts taken from: Polish std dev: 1.0187 avg:-0.063077 max diff: 1%
    30.3% of English taken from: Polish std dev: 1.601 avg:-0.063077 max diff: 1%
    3.6% of Esan taken from: Polish std dev: 2.0186 avg:-0.063077 max diff: 1%
    22.3% of French taken from: Polish std dev: 1.5933 avg:-0.063077 max diff: 1%
    11.6% of French_Basque taken from: Polish std dev: 1.9061 avg:-0.063077 max diff: 1%
    6.9% of Fulani taken from: Polish std dev: 1.6775 avg:-0.063077 max diff: 1%
    4.2% of Gambian taken from: Polish std dev: 1.964 avg:-0.063077 max diff: 1%
    43.6% of German_North taken from: Polish std dev: 1.5368 avg:-0.063077 max diff: 1%
    26.8% of German_South taken from: Polish std dev: 1.5645 avg:-0.063077 max diff: 1%
    15.4% of Greek_Central taken from: Polish std dev: 1.0282 avg:-0.063077 max diff: 1%
    17% of Greek_Thessaly taken from: Polish std dev: 1.0881 avg:-0.063077 max diff: 1%
    4.5% of Gumuz taken from: Polish std dev: 1.9279 avg:-0.063077 max diff: 1%
    6.1% of Hadza taken from: Polish std dev: 1.7459 avg:-0.063077 max diff: 1%
    3.9% of Hausa taken from: Polish std dev: 1.9955 avg:-0.063077 max diff: 1%
    5.9% of Hema taken from: Polish std dev: 1.7662 avg:-0.063077 max diff: 1%
    33.4% of Hungarian taken from: Polish std dev: 1.3348 avg:-0.063077 max diff: 1%
    3.8% of Igbo taken from: Polish std dev: 2.0004 avg:-0.063077 max diff: 1%
    10.6% of Iranian taken from: Polish std dev: 1.0957 avg:-0.063077 max diff: 1%
    31.5% of Irish taken from: Polish std dev: 1.6997 avg:-0.063077 max diff: 1%
    14.8% of Italian_Abruzzo taken from: Polish std dev: 1.0816 avg:-0.063077 max diff: 1%
    16.8% of Italian_Bergamo taken from: Polish std dev: 1.3852 avg:-0.063077 max diff: 1%
    13.5% of Italian_Sicilian taken from: Polish std dev: 1.0009 avg:-0.063077 max diff: 1%
    16.8% of Italian_Tuscan taken from: Polish std dev: 1.1874 avg:-0.063077 max diff: 1%
    10.9% of Jordanian taken from: Polish std dev: 0.91687 avg:-0.063077 max diff: 1%
    4.1% of Ju_Hoan taken from: Polish std dev: 1.9667 avg:-0.063077 max diff: 1%
    4.6% of Kaba taken from: Polish std dev: 1.9219 avg:-0.063077 max diff: 1%
    6.5% of Kikuyu taken from: Polish std dev: 1.683 avg:-0.063077 max diff: 1%
    17.7% of Kosovar taken from: Polish std dev: 1.1261 avg:-0.063077 max diff: 1%
    13.7% of Kumyk taken from: Polish std dev: 1.0303 avg:-0.063077 max diff: 1%
    10.6% of Kurdish taken from: Polish std dev: 1.1072 avg:-0.063077 max diff: 1%
    10.8% of Lebanese_Christian taken from: Polish std dev: 0.9611 avg:-0.063077 max diff: 1%
    10.9% of Lebanese_Druze taken from: Polish std dev: 0.9432 avg:-0.063077 max diff: 1%
    10.8% of Lebanese_Muslim taken from: Polish std dev: 0.93701 avg:-0.063077 max diff: 1%
    5% of Luo taken from: Polish std dev: 1.8843 avg:-0.063077 max diff: 1%
    6.2% of Maasai taken from: Polish std dev: 1.7127 avg:-0.063077 max diff: 1%
    20.7% of Macedonian taken from: Polish std dev: 1.1309 avg:-0.063077 max diff: 1%
    4.9% of Mada taken from: Polish std dev: 1.8872 avg:-0.063077 max diff: 1%
    4% of Mandinka taken from: Polish std dev: 1.9799 avg:-0.063077 max diff: 1%
    5.2% of Mbuti_Pygmy taken from: Polish std dev: 1.8632 avg:-0.063077 max diff: 1%
    4% of Mende taken from: Polish std dev: 1.988 avg:-0.063077 max diff: 1%
    33.6% of Moldavian taken from: Polish std dev: 0.95509 avg:-0.063077 max diff: 1%
    22.8% of Montenegrin taken from: Polish std dev: 1.1361 avg:-0.063077 max diff: 1%
    10.5% of Moroccan taken from: Polish std dev: 1.104 avg:-0.063077 max diff: 1%
    10% of Mozabite taken from: Polish std dev: 1.206 avg:-0.063077 max diff: 1%
    14.1% of Nogay taken from: Polish std dev: 0.86903 avg:-0.063077 max diff: 1%
    39.7% of Norwegian taken from: Polish std dev: 1.8859 avg:-0.063077 max diff: 1%
    30.3% of Orcadian taken from: Polish std dev: 1.7018 avg:-0.063077 max diff: 1%
    6.6% of Oromo taken from: Polish std dev: 1.6333 avg:-0.063077 max diff: 1%
    11.7% of Ossetian taken from: Polish std dev: 1.1099 avg:-0.063077 max diff: 1%
    10.7% of Palestinian taken from: Polish std dev: 0.9323 avg:-0.063077 max diff: 1%
    15.3% of Puerto_Rican taken from: Polish std dev: 1.0894 avg:-0.063077 max diff: 1%
    23.1% of Romanian taken from: Polish std dev: 0.97749 avg:-0.063077 max diff: 1%
    10% of Saharawi taken from: Polish std dev: 1.2454 avg:-0.063077 max diff: 1%
    9.8% of Samaritan_Jew taken from: Polish std dev: 0.99747 avg:-0.063077 max diff: 1%
    3.2% of San taken from: Polish std dev: 2.058 avg:-0.063077 max diff: 1%
    6.8% of Sandawe taken from: Polish std dev: 1.6467 avg:-0.063077 max diff: 1%
    8.7% of Saudi taken from: Polish std dev: 1.2001 avg:-0.063077 max diff: 1%
    29.9% of Scottish taken from: Polish std dev: 1.6788 avg:-0.063077 max diff: 1%
    12.9% of Sephardic_Jew taken from: Polish std dev: 0.99496 avg:-0.063077 max diff: 1%
    24.9% of Serbian taken from: Polish std dev: 1.1368 avg:-0.063077 max diff: 1%
    42.1% of Slovak taken from: Polish std dev: 1.1513 avg:-0.063077 max diff: 1%
    36.9% of Slovene taken from: Polish std dev: 1.2232 avg:-0.063077 max diff: 1%
    6.2% of Somali taken from: Polish std dev: 1.6768 avg:-0.063077 max diff: 1%
    16.3% of Spaniard taken from: Polish std dev: 1.5765 avg:-0.063077 max diff: 1%
    5% of Sudanese_South taken from: Polish std dev: 1.8804 avg:-0.063077 max diff: 1%
    41.9% of Swedish taken from: Polish std dev: 2.006 avg:-0.063077 max diff: 1%
    11.1% of Syrian taken from: Polish std dev: 0.90871 avg:-0.063077 max diff: 1%
    7.5% of Tigray taken from: Polish std dev: 1.5021 avg:-0.063077 max diff: 1%
    11.3% of Tunisian taken from: Polish std dev: 1.021 avg:-0.063077 max diff: 1%
    12.9% of Turkish taken from: Polish std dev: 0.84803 avg:-0.063077 max diff: 1%
    13.6% of Turkish_Aydin taken from: Polish std dev: 0.78807 avg:-0.063077 max diff: 1%
    12.2% of Turkish_Kayseri taken from: Polish std dev: 0.85926 avg:-0.063077 max diff: 1%
    9.9% of Turkish_Trabzon taken from: Polish std dev: 1.093 avg:-0.063077 max diff: 1%
    61.1% of Ukrainian taken from: Polish std dev: 1.2432 avg:-0.063077 max diff: 1%
    32.9% of Utahn_European taken from: Polish std dev: 1.6701 avg:-0.063077 max diff: 1%
    6.7% of Wolayta taken from: Polish std dev: 1.6385 avg:-0.063077 max diff: 1%
    9.6% of Yemeni taken from: Polish std dev: 1.0274 avg:-0.063077 max diff: 1%
    3.6% of Yoruba taken from: Polish std dev: 2.0267 avg:-0.063077 max diff: 1%
    10.7% of Afghan_Pashtun taken from: Polish std dev: 1.3128 avg:-0.063077 max diff: 1.0348%
    9% of Makrani taken from: Polish std dev: 1.3289 avg:-0.063077 max diff: 1.0704%
    9% of Brahui taken from: Polish std dev: 1.3092 avg:-0.063077 max diff: 1.137%
    9.2% of Balochi taken from: Polish std dev: 1.3166 avg:-0.063077 max diff: 1.1422%
    10% of Pathan taken from: Polish std dev: 1.3273 avg:-0.063077 max diff: 1.1481%
    10.2% of Pakistan_Pashtun taken from: Polish std dev: 1.3316 avg:-0.063077 max diff: 1.2215%
    69.4% of Russian taken from: Polish std dev: 2.0832 avg:-0.063077 max diff: 1.2909%
    15% of Romani taken from: Polish std dev: 0.9343 avg:-0.063077 max diff: 1.537%
    9.8% of Burusho taken from: Polish std dev: 1.3293 avg:-0.063077 max diff: 1.5481%
    18% of Aluet taken from: Polish std dev: 1.7449 avg:-0.063077 max diff: 1.5524%
    9% of Sindhi taken from: Polish std dev: 1.3651 avg:-0.063077 max diff: 1.6704%
    8.4% of Punjabi taken from: Polish std dev: 1.5072 avg:-0.063077 max diff: 1.7037%
    24.4% of Tatar taken from: Polish std dev: 1.25 avg:-0.063077 max diff: 1.7385%
    7% of Tuvinian taken from: Polish std dev: 1.6013 avg:-0.063077 max diff: 1.7727%
    6.5% of Eskimo taken from: Polish std dev: 1.5564 avg:-0.063077 max diff: 1.8042%
    8.8% of Kashmir_Pandit taken from: Polish std dev: 1.4816 avg:-0.063077 max diff: 1.8474%
    @therrien.joel can you run my data? I am also Polish

    PuntDNAL K13

    Population

    West_Asia 9.84
    NE_Europe 55.07
    Americas 0.48
    Siberia 1.80
    Oceania 1.27
    South_Asia -
    NE_Asia 1.08
    East_Africa 0.31
    SE_Asia 0.18
    SW_Europe 25.17
    SW_Asia 3.71
    West_Africa 0.79
    South_Africa 0.30


    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 91.3% Belarusian + 8.7% Nogay @ 2.12
    2 52.4% Russian + 47.6% Slovak @ 2.33
    3 92.5% Belarusian + 7.5% Afghan_Uzbeki @ 2.35
    4 93.4% Belarusian + 6.6% Afghan_Hazara @ 2.39
    5 92% Belarusian + 8% Turkish_Aydin @ 2.41
    6 57.7% Russian + 42.3% Slovene @ 2.45
    7 91.7% Belarusian + 8.3% Kumyk @ 2.46
    8 60.7% Russian + 39.3% Hungarian @ 2.49
    9 65.3% Russian + 34.7% Croatian @ 2.49
    10 92.3% Belarusian + 7.7% Balkar @ 2.54
    11 92.3% Belarusian + 7.7% Tadjik @ 2.55
    12 93% Belarusian + 7% Turkish_Kayseri @ 2.57
    13 93.4% Belarusian + 6.6% Azerbaijan_Azeri @ 2.59
    14 66.8% Russian + 33.2% Bosnian @ 2.6
    15 92.6% Belarusian + 7.4% Turkish @ 2.61
    16 93% Belarusian + 7% Ossetian @ 2.61
    17 93% Belarusian + 7% Dagestan_Azeri @ 2.62
    18 71.7% Russian + 28.3% Serbian @ 2.63
    19 93.9% Belarusian + 6.1% Iranian @ 2.69
    20 94.2% Belarusian + 5.8% Egyptian @ 2.71


    Using 2 populations approximation:
    1 50% Russian +50% Slovak @ 2.288193


    Using 3 populations approximation:
    1 50% Russian +25% Slovak +25% Slovak @ 2.288193


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++
    1 Russian + Russian + Slovak + Slovak @ 2.288193
    2 Belarusian + Russian + Russian + Serbian @ 2.363923
    3 Estonian + Macedonian + Russian + Russian @ 2.383500
    4 Russian + Russian + Slovene + Ukrainian @ 2.418567
    5 Bulgarian + Estonian + Russian + Russian @ 2.441511
    6 Albanian + Lithuanian + Lithuanian + Mordovian @ 2.456780
    7 Albanian + Estonian + Latvian + Mordovian @ 2.468426
    8 Albanian + Latvian + Lithuanian + Mordovian @ 2.473026
    9 Hungarian + Russian + Russian + Ukrainian @ 2.476781
    10 Belarusian + Bosnian + Russian + Russian @ 2.478726
    11 Russian + Russian + Slovak + Slovene @ 2.491626
    12 Macedonian + Polish + Russian + Russian @ 2.493335
    13 Albanian + Estonian + Lithuanian + Mordovian @ 2.502335
    14 Greek_Thessaly + Lithuanian + Lithuanian + Mordovian @ 2.504560
    15 Russian + Russian + Slovak + Ukrainian @ 2.505851
    16 Latvian + Mordovian + Slovak + Slovak @ 2.507601
    17 Moldavian + Russian + Russian + Ukrainian @ 2.510903
    18 Estonian + Kosovar + Latvian + Mordovian @ 2.513214
    19 Lithuanian + Macedonian + Russian + Russian @ 2.514206
    20 Greek_Thessaly + Latvian + Lithuanian + Mordovian @ 2.514292
    Last edited by Modernancientdna; 01-12-2018 at 09:14 PM.

  7. #146
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    Ethnicity
    Iranian Qashqai+Bakhtiari
    Nationality
    Iranian-American
    Y-DNA
    J2a1a2c J-L290
    mtDNA
    J1

    Iran AchaemenidEmpire1 Iran Safavid Empire United States of America Kurdistan Iran Sassanid Empire
    Thanks for my result. Would you mind doing my Mom's for MDLP k16? She is Iranian_Lor


    Amerindian 0.19
    Ancestor -
    Steppe 10.08
    Indian 18.82
    Arctic -
    Australian -
    Caucasian 51.40
    EastAfrican 0.74
    NorthEastEuropean 0.57
    NearEast 8.53
    Neolithic 8.10
    NorthAfrican -
    Oceanic 0.90
    Siberian -
    SouthEastAsian -
    Subsaharian 0.68

  8. #147
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    Quote Originally Posted by KingofPhoenicia001 View Post
    Thank you! Hmm maybe another calculator will be better? This is MDLP K16...

    .
    .
    .

    Or maybe puntDNAL K15

    Population
    S_Indian 2.06
    Mediterranean 30.68
    Siberian 0.88
    Wht_Nile_River 2.20
    Amerindian 0.47
    S_African -
    E_Asian -
    Caucasian 27.47
    NE_European 10.88
    Omo_River -
    W_African 0.85
    Horn_Of_Africa 7.95
    Oceanian 0.93
    Beringian 0.53
    SW_Asian 15.09
    Good! Yes, I should suggest that people try to find calculators that have the ethnicities they know they have if they want a more accurate result.

    I have concluded that there is some issue with the MDLP oracle files. I keep getting screwy results from them, so I'm trying to avoid running them because the results will make no sense whatsoever.

    Here is the puntDNAL K15:

    Code:
    Starting known populations: Albanian=12.5%; Lebanese=87.5%; Initial stdeviation=4.5378
    
    Admixture sorted by match quality (smaller is better)
    
    43.4% of Sephardic_Jew taken from: Lebanese	std dev: 0.848	match quality:0.90305	max diff: 0.055059%
    19.6% of Portuguese taken from: Lebanese	std dev: 0.84966	match quality:0.90963	max diff: 0.05997%
    37.5% of Ashkenazy_Jew taken from: Lebanese	std dev: 0.85827	match quality:0.91824	max diff: 0.05997%
    56.6% of Turk_Kayseri taken from: Lebanese	std dev: 0.8631	match quality:0.91852	max diff: 0.055418%
    36.9% of Sicilian taken from: Lebanese	std dev: 0.85893	match quality:0.9189	max diff: 0.05997%
    27.1% of Tuscan taken from: Lebanese	std dev: 0.86148	match quality:0.92145	max diff: 0.05997%
    29% of Greek_Central taken from: Lebanese	std dev: 0.86632	match quality:0.92629	max diff: 0.05997%
    19.9% of Bulgarian taken from: Lebanese	std dev: 0.87841	match quality:0.92883	max diff: 0.050416%
    25.6% of Albanian taken from: Lebanese	std dev: 0.86901	match quality:0.92898	max diff: 0.05997%
    21.2% of Italian taken from: Lebanese	std dev: 0.87041	match quality:0.93038	max diff: 0.05997%
    ----------------------------------------------------------------------------
    Ancestry from paper trail: 50% French Canadian, 25% British Romany, 12.5% Irish and 12.5% Finnish (though half of that may be Welsh)

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

     KingofPhoenicia001 (01-13-2018)

  10. #148
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    Quote Originally Posted by Saba123 View Post
    Thanks for my result. Would you mind doing my Mom's for MDLP k16? She is Iranian_Lor


    Amerindian 0.19
    Ancestor -
    Steppe 10.08
    Indian 18.82
    Arctic -
    Australian -
    Caucasian 51.40
    EastAfrican 0.74
    NorthEastEuropean 0.57
    NearEast 8.53
    Neolithic 8.10
    NorthAfrican -
    Oceanic 0.90
    Siberian -
    SouthEastAsian -
    Subsaharian 0.68
    I had been shying away from MDLP because it was tending to give crazy answers, but I gave it a shot with this case and the results aren't obviously ridiculous as with others I tried. I will still say I am not fully confident in the MDLP oracle files:

    Code:
    Starting known populations: Iran_Lor=100%; Initial stdeviation=1.2048
    Admixture sorted by match quality (smaller is better)
    
    34.8% of Iran_Mazandrani taken from: Iran_Lor	std dev: 0.82585	match quality:1.2293	max diff: 0.40341%
    9% of Georgian taken from: Iran_Lor	std dev: 0.85183	match quality:1.2702	max diff: 0.41835%
    11.9% of Armenian taken from: Iran_Lor	std dev: 0.87817	match quality:1.2874	max diff: 0.40923%
    13.4% of Georgian taken from: Iran_Lor	std dev: 0.90773	match quality:1.2932	max diff: 0.3855%
    8.7% of Turk taken from: Iran_Lor	std dev: 0.87519	match quality:1.3073	max diff: 0.43215%
    11% of Armenian taken from: Iran_Lor	std dev: 0.90299	match quality:1.3104	max diff: 0.40745%
    14% of Georgian_Abkhazia taken from: Iran_Lor	std dev: 0.90667	match quality:1.3162	max diff: 0.40951%
    13% of Jew taken from: Iran_Lor	std dev: 0.91567	match quality:1.3167	max diff: 0.40099%
    12.7% of Georgian taken from: Iran_Lor	std dev: 0.90019	match quality:1.3212	max diff: 0.42097%
    11.1% of Jew taken from: Iran_Lor	std dev: 0.90611	match quality:1.3383	max diff: 0.43216%
    ----------------------------------------------------------------------------
    Ancestry from paper trail: 50% French Canadian, 25% British Romany, 12.5% Irish and 12.5% Finnish (though half of that may be Welsh)

  11. #149
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    Quote Originally Posted by Modernancientdna View Post
    @therrien.joel can you run my data? I am also Polish

    PuntDNAL K13

    Population

    West_Asia 9.84
    NE_Europe 55.07
    Americas 0.48
    Siberia 1.80
    Oceania 1.27
    South_Asia -
    NE_Asia 1.08
    East_Africa 0.31
    SE_Asia 0.18
    SW_Europe 25.17
    SW_Asia 3.71
    West_Africa 0.79
    South_Africa 0.30
    The matches on this one for the first run were pretty good quality; among the best I have seen so far. So with more residuals left I decided to try a few of the first matches and see what second adjustments would come up. Many were not as good. One way to judge is if the ethnicities don't cluster geographically because that suggests that the oracle is just picking at noise. I would have said that about the first fit, but I have other data generated in the fit that I can't easily show here (plots of the residuals) that tell me how well the oracle performed. Those looked really good.

    So, here is the first fit:

    Code:
    Starting known populations: Polish=100%; Initial stdeviation=2.607
    
    Admixture sorted by match quality (smaller is better)
    
    14.8% of Turkish_Aydin taken from: Polish	std dev: 0.37184	match quality:0.49047	max diff: 0.11862%
    15.3% of Italian_Sicilian taken from: Polish	std dev: 0.38567	match quality:0.50429	max diff: 0.11862%
    37.6% of Moldavian taken from: Polish	std dev: 0.38673	match quality:0.50536	max diff: 0.11862%
    20% of Albanian taken from: Polish	std dev: 0.38744	match quality:0.50607	max diff: 0.11862%
    17.5% of Greek_Central taken from: Polish	std dev: 0.38853	match quality:0.50715	max diff: 0.11862%
    14.1% of Turkish taken from: Polish	std dev: 0.39003	match quality:0.50865	max diff: 0.11862%
    13.4% of Turkish_Kayseri taken from: Polish	std dev: 0.39257	match quality:0.5112	max diff: 0.11862%
    15.7% of Ashkenazy_Jew taken from: Polish	std dev: 0.39278	match quality:0.51141	max diff: 0.11862%
    19.6% of Greek_Thessaly taken from: Polish	std dev: 0.39293	match quality:0.51155	max diff: 0.11862%
    25.9% of Romanian taken from: Polish	std dev: 0.39423	match quality:0.51285	max diff: 0.11862%
    The first two seem out of place in that a person might be more likely to carry admixture from a more nearby country if they are unaware of any. Just simple logic; it fails as often as it's right I think. So I tried the Moldavian adjustment and the Turkish one. The latter gave obviously wrong results with highly scattered populations... unless you think you could be part Puerto Rican! But the Moldavian give a cleaner clustering and still has very nice match quality:

    Code:
    Starting known populations: Moldavian=37.6%; Polish=62.4%; Initial stdeviation=1.0082
    
    Admixture sorted by match quality (smaller is better)
    
    3.9% of Altaian taken from: Moldavian	std dev: 0.67171	match quality:1.3662	max diff: 0.69444%
    3.4% of Tuvinian taken from: Moldavian	std dev: 0.67206	match quality:1.3665	max diff: 0.69444%
    3% of Oroqen taken from: Moldavian	std dev: 0.67335	match quality:1.3678	max diff: 0.69444%
    3.5% of Mongolian taken from: Moldavian	std dev: 0.67599	match quality:1.3704	max diff: 0.69444%
    2.9% of Daur taken from: Moldavian	std dev: 0.69362	match quality:1.3881	max diff: 0.69444%
    11.6% of Tatar taken from: Moldavian	std dev: 0.69924	match quality:1.3937	max diff: 0.69444%
    2.8% of Xibo taken from: Moldavian	std dev: 0.71714	match quality:1.4116	max diff: 0.69444%
    2.6% of Yakut taken from: Moldavian	std dev: 0.72687	match quality:1.4213	max diff: 0.69444%
    2.6% of Chukchi taken from: Moldavian	std dev: 0.73802	match quality:1.4325	max diff: 0.69444%
    2.6% of Koryak taken from: Moldavian	std dev: 0.73896	match quality:1.4334	max diff: 0.69444%
    ----------------------------------------------------------------------------
    Ancestry from paper trail: 50% French Canadian, 25% British Romany, 12.5% Irish and 12.5% Finnish (though half of that may be Welsh)

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

     Modernancientdna (01-13-2018)

  13. #150
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    Quote Originally Posted by jonahst View Post
    How's this?

    EUTest

    SOUTH_BALTIC 4.90
    EAST_EURO 4.43
    NORTH-CENTRAL_EURO 10.16
    ATLANTIC 11.98
    WEST_MED 12.42
    EAST_MED 28.37
    WEST_ASIAN 9.89
    MIDDLE_EASTERN 14.76
    SOUTH_ASIAN 1.04
    EAST_AFRICAN 1.55
    EAST_ASIAN -
    SIBERIAN 0.50
    WEST_AFRICAN -

    MDLP World

    Caucaus_Parsia 20.23
    Middle_East 26.40
    Indian 2.16
    South_and_West_European 36.48
    Melanesian -
    Sub_Saharian 1.38
    North_and_East_European 12.20
    Arctic_Amerind -
    East_Asian -
    Paleo_African 0.13
    Mesoamerican 0.77
    North_Asian 0.20

    puntDNAL K15

    S_Indian 1.64
    Mediterranean 37.74
    Siberian 1.25
    Wht_Nile_River -
    Amerindian 0.16
    S_African 0.34
    E_Asian -
    Caucasian 21.87
    NE_European 20.49
    Omo_River 0.45
    W_African -
    Horn_Of_Africa 6.24
    Oceanian -
    Beringian -
    SW_Asian 9.81
    Here is the result from the puntDNAL K15

    Code:
    Starting known populations: Ashkenazy_Jew=100%; Initial stdeviation=2.8083
    
    Admixture sorted by match quality (smaller is better)
    
    7.2% of Hazara taken from: Ashkenazy_Jew	std dev: 0.93388	match quality:1.0188	max diff: 0.084951%
    9.4% of Uzbek taken from: Ashkenazy_Jew	std dev: 0.92015	match quality:1.0279	max diff: 0.10777%
    9% of North_Ossetian taken from: Ashkenazy_Jew	std dev: 0.94907	match quality:1.034	max diff: 0.084951%
    9.6% of Turkmen taken from: Ashkenazy_Jew	std dev: 0.94421	match quality:1.035	max diff: 0.090777%
    6.2% of Kashmiri taken from: Ashkenazy_Jew	std dev: 0.9438	match quality:1.038	max diff: 0.094151%
    13.5% of Nogai taken from: Ashkenazy_Jew	std dev: 0.90449	match quality:1.0386	max diff: 0.1341%
    8.6% of Kumyk taken from: Ashkenazy_Jew	std dev: 0.95802	match quality:1.043	max diff: 0.084951%
    4.7% of Karelian taken from: Ashkenazy_Jew	std dev: 0.96842	match quality:1.0448	max diff: 0.076396%
    9.7% of Chechen taken from: Ashkenazy_Jew	std dev: 0.94822	match quality:1.0449	max diff: 0.096723%
    5.4% of Sindhi taken from: Ashkenazy_Jew	std dev: 0.95068	match quality:1.0487	max diff: 0.098058%
    ----------------------------------------------------------------------------
    Ancestry from paper trail: 50% French Canadian, 25% British Romany, 12.5% Irish and 12.5% Finnish (though half of that may be Welsh)

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