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Thread: Post Gedrosia K3 results

  1. #21
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    Quote Originally Posted by MonkeyDLuffy View Post
    What's wrong with jorita results?
    Its depicting him as uber AASI due to AASI/E Asian conflation

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  3. #22
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    Quote Originally Posted by bmoney View Post
    Its not, look at Jortitas results
    As a general rule, any calculator with only three components is not a good calculator for anyone, lol. It might be useful in an archaeogenetic context but not for approximating similarity to modern pops.

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  5. #23
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    Quote Originally Posted by Censored View Post
    As a general rule, any calculator with only three components is not a good calculator for anyone, lol. It might be useful in an archaeogenetic context but not for approximating similarity to modern pops.
    Yeah, and that calculator becomes an effectively 2 component calc for us. It might be useful once in a while to see ancestral patterns from 40 kya, but that's about it.
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  6. #24
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    Not sure how to interpret....

    Code:
    Eurasia K3 Oracle
    
    Admix Results (sorted):
    
    #	Population	Percent
    1	W_Eurasian	66.26
    2	E_Eurasian	33.72
    
    
    Finished reading population data. 129 populations found.
    3 components mode.
    
    --------------------------------
    
    Least-squares method.
    
    Using 1 population approximation:
    1 UP_Brahmin @ 1.183108
    2 Burusho @ 1.263131
    3 Tajik_Afghan @ 1.267328
    4 Turkmen @ 1.341490
    5 GujaratiB @ 1.425884
    6 Uzbek_Afghan @ 2.942327
    7 Kashmiri_Pandit @ 3.089057
    8 Vaish @ 4.134699
    9 GujaratiA @ 4.796963
    10 Kshatriya @ 4.926479
    11 Punjabi @ 5.558784
    12 Meghawal @ 6.412307
    13 GujaratiC @ 6.747667
    14 Tamil_Brahmin @ 6.795019
    15 Turkmen_Afghan @ 7.419580
    16 Jains @ 7.464447
    17 Sindhi @ 7.728393
    18 Kurd_SE @ 8.873133
    19 Tajik @ 10.711553
    20 GujaratiD @ 11.257207
    
    Using 2 populations approximation:
    1 50% Hazara +50% Mordovian @ 0.251656
    2 50% Hazara_Afghan +50% Kalash @ 0.387554
    3 50% Finnish +50% Hazara @ 0.452129
    4 50% Adygei +50% Hazara @ 0.638605
    5 50% Hazara +50% Russian @ 0.689562
    6 50% Hazara_Afghan +50% Pashtun_Afghan @ 0.690776
    7 50% Tajik_Afghan +50% UP_Brahmin @ 0.761873
    8 50% Burusho +50% Tajik_Afghan @ 0.825212
    9 50% GujaratiB +50% Tajik_Afghan @ 0.958040
    10 50% Turkmen +50% UP_Brahmin @ 1.082023
    11 50% Burusho +50% Turkmen @ 1.115055
    12 50% Kalash +50% UP_Kol @ 1.140828
    13 50% Kalash +50% Uzbek @ 1.154819
    14 50% Hazara_Afghan +50% Pathan @ 1.181053
    15 50% UP_Brahmin +50% UP_Brahmin @ 1.183108
    16 50% Kalash +50% Velama @ 1.191399
    17 50% Kalash +50% UP_Muslim @ 1.203622
    18 50% Burusho +50% UP_Brahmin @ 1.223122
    19 50% GujaratiB +50% Turkmen @ 1.234435
    20 50% Tajik_Afghan +50% Turkmen @ 1.242049
    
    
    Using 3 populations approximation:
    1 50% Adygei +25% Nganasan +25% Tajik_Pomiri @ 0.000000
    
    Done.
    
    Elapsed time 0.0335 seconds.

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  8. #25
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    Quote Originally Posted by bmoney View Post
    Its depicting him as uber AASI due to AASI/E Asian conflation
    He's high east eurasian if you combine aasi with East Asian.
    Deg Teg Fateh - Victory to Charity and Arms

    Punjab, Punjabi, Fateh.

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  10. #26
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    Quote Originally Posted by MonkeyDLuffy View Post
    He's high east eurasian if you combine aasi with East Asian.
    Bmoney is talking about the oracles specifically. The closest ones are showing him as a mix of high AASI groups cause they can't differentiate that from proper E. Asian. That's the argument for why it's a bad calculator for us.
    Last edited by Censored; 10-03-2018 at 08:54 PM.

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  12. #27
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    Quote Originally Posted by Censored View Post
    Bmoney is talking about the oracles specifically. The closest ones are showing him as a mix of high AASI groups cause they can't differentiate that from proper E. Asian. That's the argument for why it's a bad calculator for us.
    The calculator by itself might be fine, but the oracles on this are absolutely pointless/useless. I mean, if everybody is a mix of just 3 components (2 for South Asians), what's the point of oracles lol
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  14. #28
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    I think its a very good calculator for E/W portions , SSA is archaic Basal, the extra East Eurasian is MA1 related. Those who are 65-75% West Eurasian are like North Africans in particular Mozabite Berbers or even Iberomaurusians , the majority in particular most of the Indian pops , resemble Horners ie Somalis, Ethiopians in their proportions. I think Awale mentioned this a while back too.

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  16. #29
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    V5 to V3 conversion

    Admix Results (sorted):

    # Population Percent
    1 W_Eurasian 57.68
    2 E_Eurasian 37.78
    3 SSA 4.53


    Finished reading population data. 129 populations found.
    3 components mode.

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

    Least-squares method.

    Using 1 population approximation:
    1 GujaratiD @ 3.799769
    2 Jains @ 4.280507
    3 Meghawal @ 4.467307
    4 Tamil_Brahmin @ 4.775219
    5 Kanjar @ 4.793796
    6 GujaratiC @ 4.977682
    7 Turkmen_Afghan @ 5.104886
    8 Malli @ 5.265916
    9 Punjabi @ 5.417672
    10 UP_Muslim @ 5.769065
    11 Velama @ 6.219390
    12 Vaish @ 6.376062
    13 Hazara_Afghan @ 7.276256
    14 UP_Kol @ 7.701490
    15 Kurumba @ 8.672828
    16 UP_Caste @ 8.833612
    17 Uzbek @ 9.205032
    18 GujaratiB @ 9.230527
    19 Burusho @ 9.270390
    20 UP_Brahmin @ 9.350218

    Using 2 populations approximation:
    1 50% Onge +50% Spanish @ 0.000000
    2 50% Makrani +50% Nihali @ 0.291733
    3 50% Greek +50% Onge @ 0.300632
    4 50% Altaian +50% Saudi @ 0.441498
    5 50% Albanian +50% Onge @ 0.603232
    6 50% Altaian +50% Yemenite_Jew @ 0.750576
    7 50% French +50% Onge @ 0.841998
    8 50% French_South +50% Onge @ 0.900355
    9 50% English +50% Onge @ 0.970238
    10 50% Bergamo +50% Onge @ 0.978703
    11 50% Altaian +50% Lebanese @ 0.986110
    12 50% Onge +50% Sardinian @ 1.010175
    13 50% Onge +50% Sicilian @ 1.066821
    14 50% Croatian +50% Onge @ 1.071143
    15 50% Bulgarian +50% Onge @ 1.093459
    16 50% Cypriot +50% Onge @ 1.095057
    17 50% LBK_EN +50% Onge @ 1.098301
    18 50% Czech +50% Onge @ 1.120981
    19 50% Norwegian +50% Onge @ 1.214133
    20 50% Kurd_SE +50% Madiga @ 1.240553


    Using 3 populations approximation:
    1 50% Altaian +25% BedouinA +25% Cypriot @ 0.000000

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  18. #30
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    Quote Originally Posted by tipirneni View Post
    # Population Percent
    1 W_Eurasian 54.72
    2 E_Eurasian 44.21
    3 SSA 1.07


    Finished reading population data. 129 populations found.
    3 components mode.

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

    Least-squares method.

    Using 1 population approximation:
    1 UP_Kol @ 0.702215
    2 Uzbek @ 1.383464
    3 UP_Caste @ 1.419365
    4 Velama @ 1.658246
    5 Hazara_Afghan @ 1.839028
    6 UP_Muslim @ 2.337710
    7 Kurumba @ 2.615279
    8 Malli @ 2.887612
    9 Kanjar @ 3.395998
    10 GujaratiD @ 4.685009
    11 Piramalai @ 5.122738
    12 Kallar @ 5.130866
    13 Tharu @ 5.316026
    14 Bhil @ 5.341393
    15 Bengali @ 7.234951
    16 UP_Chamar @ 7.484972
    17 Kamsali @ 8.137465
    18 Turkmen_Afghan @ 8.211093
    19 Jains @ 8.282477
    20 Tamil_Brahmin @ 8.913216

    Using 2 populations approximation:
    1 50% Hazara_Afghan +50% UP_Caste @ 0.000000
    2 50% Kurd_N +50% Yukagir @ 0.000000
    3 50% Kurd_N +50% Yukagir @ 0.000000
    4 50% Uzbek +50% Velama @ 0.000000
    5 50% Kamsali +50% Turkmen_Afghan @ 0.325350
    6 50% Turkmen_Afghan +50% UP_Chamar @ 0.407578
    7 50% UP_Muslim +50% Uzbek @ 0.480159
    8 50% Hazara_Afghan +50% Kurumba @ 0.481153
    9 50% Bengali +50% Turkmen_Afghan @ 0.489037
    10 50% Bengali +50% Jains @ 0.546000
    11 50% Sherpa +50% Spanish @ 0.572191
    12 50% Greek +50% Sherpa @ 0.578318
    13 50% UP_Caste +50% UP_Muslim @ 0.636138
    14 50% Hazara_Afghan +50% Uzbek @ 0.646356
    15 50% Hazara_Afghan +50% UP_Kol @ 0.687395
    16 50% Brahui +50% Kyrgyz @ 0.694478
    17 50% UP_Caste +50% Velama @ 0.694805
    18 50% UP_Kol +50% UP_Kol @ 0.702215
    19 50% Bulgarian +50% Sherpa @ 0.706681
    20 50% Balochi +50% Kyrgyz @ 0.724614


    Using 3 populations approximation:
    1 50% Abkhasian +25% Bhumij +25% Subba @ 0.000000
    Genesis changed some scores & ordering


    1 W_Eurasian 54.65
    2 E_Eurasian 44.31
    3 SSA 1.04


    Finished reading population data. 129 populations found.
    3 components mode.

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

    Least-squares method.

    Using 1 population approximation:
    1 UP_Kol @ 0.688441
    2 Uzbek @ 1.260420
    3 UP_Caste @ 1.321310
    4 Velama @ 1.776169
    5 Hazara_Afghan @ 1.922291
    6 UP_Muslim @ 2.460186
    7 Kurumba @ 2.566706
    8 Malli @ 2.988118
    9 Kanjar @ 3.518920
    10 GujaratiD @ 4.807844
    11 Kallar @ 5.028244
    12 Piramalai @ 5.032567
    13 Tharu @ 5.222669
    14 Bhil @ 5.239930
    15 Bengali @ 7.117631
    16 UP_Chamar @ 7.374872
    17 Kamsali @ 8.027947
    18 Turkmen_Afghan @ 8.325932
    19 Jains @ 8.404773
    20 Tamil_Brahmin @ 9.031083

    Using 2 populations approximation:
    1 50% Kurd_N +50% Yukagir @ 0.000000
    2 50% Kurd_N +50% Yukagir @ 0.000000
    3 50% Hazara_Afghan +50% UP_Caste @ 0.250679
    4 50% Uzbek +50% Velama @ 0.264209
    5 50% Hazara_Afghan +50% Kurumba @ 0.433108
    6 50% Kamsali +50% Turkmen_Afghan @ 0.479325
    7 50% Turkmen_Afghan +50% UP_Chamar @ 0.575893
    8 50% UP_Muslim +50% Uzbek @ 0.599029
    9 50% Bengali +50% Turkmen_Afghan @ 0.601089
    10 50% Bulgarian +50% Sherpa @ 0.619252
    11 50% UP_Kol +50% Uzbek @ 0.658768
    12 50% Hazara_Afghan +50% Uzbek @ 0.663135
    13 50% Bengali +50% Jains @ 0.664968
    14 50% Brahui +50% Kyrgyz @ 0.677353
    15 50% UP_Kol +50% UP_Kol @ 0.688441
    16 50% Greek +50% Sherpa @ 0.690114
    17 50% Sherpa +50% Spanish @ 0.691747
    18 50% Balochi +50% Kyrgyz @ 0.694881
    19 50% UP_Caste +50% Velama @ 0.713236
    20 50% UP_Caste +50% UP_Muslim @ 0.733739


    Using 3 populations approximation:
    1 50% Abkhasian +25% Bhumij +25% Subba @ 0.000000
    Y: H-M69 -> H-M82 -> SK1225 -> H-Z5888 -> H-Z5890 -> H-CTS8144 [CTS8144/PF1741/M5498] -> Z34531 (H1a1a4b3b1a8~)
    found 2875 BCE -> Jiroft/IVC Periphery 11459 Shahr-i-Sokte BA2
    mtDNA:U2a1a
    extras 309.1C 315.1C 522.1A 522.2 CG8572A G8860A T11368C T16093a T16154C C16519T

    G25 Ancients Dist 0.79 IND_Roopkund_A 51.05 IRN_Shahr_I_Sokhta_BA2 46.64 MAR_Iberomaurusian2.04PAK_Katelai_IA0.19 TKM_Gonur2_BA 0.08

    LactosePersistence rs3213871 rs4988243

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