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Thread: Post HarappaWorld results

  1. #821
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    Quote Originally Posted by Sapporo View Post
    I'd put them closer to 14-15% based on how some individuals I've seen scoring 21-22% SI and 26% SI, respectively score on nMonte. Even then, it's not always a 1 to 1 correlation. Anyways, you have seen Ror kits? I don't think anyone has uploaded them to GEDMatch as far as I'm aware. Also, I haven't seen any individuals scoring over 21% NE Euro (which decreased to a bit under 21% and Med from 2% to 4% after V3 imputation) other than prashant's cousin.
    It was using the same trick, one to one matches(of matches of matches of random #'s I find of forums) and somehow early last year I stumbled upon kits with 21%+ NE Euro. I am not sure if it were Ror or Haryana Jats. Again, I am just going by my memory. I think I might have even seen one in the 24 range. I just can't find them again because of how I found these kits. I am still not able to find the 24-26% SI Arora kits (who were in my 4-5 gen match but seems like they might have been removed).

  2. #822
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    There is a Haryana Jat with 24.05% SI and something like 20.19% NE Euro(and 4.88% med) in Sapporo's dataset.

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  4. #823
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    Quote Originally Posted by hussein khan View Post
    can anyone try find surbhakhuns kitnumber though? I heard her dad got like 14% SI; but always wondered how much caucasian and baloch he would get. SO annoyinh there Arent these kits from these individuals i wanted to run...
    Individual kits are private. You will get same results anyway so there is no point in running them again and again.

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  6. #824
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    Quote Originally Posted by hussein khan View Post
    Not super satisfied with the answers. ALready seen many of those jatts. The lowest si i seen in a kit from a desi is 23,84% (as the sample you guys posted). I seen some sindhis getting 23% and heard from a punjabi he got 21%. But im not sure if they all pulled a bandesha or simply just made errors or even are mixed. I want to see kits. SO annoyinh there Arent any ror kits though...
    What's the obsession with these ultra low SI kits. These aren't normal numbers for South Asians. No regular Punjabi will have these numbers. Aaronbee, Lollybolly have the lowest AASI amongst the South Asians on this forum and they are all in the 26-28 range. Harappa is pretty outdated anyway. We only use it for fun.

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  8. #825
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    Quote Originally Posted by agent_lime View Post
    What's the obsession with these ultra low SI kits. These aren't normal numbers for South Asians. No regular Punjabi will have these numbers. Aaronbee, Lollybolly have the lowest AASI amongst the South Asians on this forum and they are all in the 26-28 range. Harappa is pretty outdated anyway. We only use it for fun.
    It's not worth splitting hairs over. Some of the SI component is actually Iran_n and some AASI ends up as Papuan or SE Asian.

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  10. #826
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    Quote Originally Posted by Censored View Post
    It's not worth splitting hairs over. Some of the SI component is actually Iran_n and some AASI ends up as Papuan or SE Asian.
    Yes, it's not even a direct co-relation. It'll be a mix if IVCp + AASI + tribal ancestry. Various DMXX AASI coordinates are much more accurate on nMonte. AASI wise the low end for South Asians is between 14-18%.

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  12. #827
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    Quote Originally Posted by agent_lime View Post
    Yes, it's not even a direct co-relation. It'll be a mix if IVCp + AASI + tribal ancestry. Various DMXX AASI coordinates are much more accurate on nMonte. AASI wise the low end for South Asians is between 14-18%.
    Prime example is that Onge score 50% SI, just like the Patel user. Needless to say the broken down components of that SI would be different for both.

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  14. #828
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    Quote Originally Posted by agent_lime View Post
    It was using the same trick, one to one matches(of matches of matches of random #'s I find of forums) and somehow early last year I stumbled upon kits with 21%+ NE Euro. I am not sure if it were Ror or Haryana Jats. Again, I am just going by my memory. I think I might have even seen one in the 24 range. I just can't find them again because of how I found these kits. I am still not able to find the 24-26% SI Arora kits (who were in my 4-5 gen match but seems like they might have been removed).
    Well, if it was a Ror, it wasn't an academic sample as neither khana or anyone else has uploaded those kits. Over the years, I've seen 3-4 (including prashant's cousin and the Pathak sample khana uploaded) in the 20-21% range but none over that. Anyways, as you noted, Harappa is outdated and we can roughly infer how the Rors would score in Harappa anyways based on how they plot vs. prashant's cousin.

    Quote Originally Posted by Censored View Post
    It's not worth splitting hairs over. Some of the SI component is actually Iran_n and some AASI ends up as Papuan or SE Asian.
    Yes, that's something relevant to point out. Some individuals have AASI leak into Papuan or SE Asian when typically they shouldn't be scoring either based on geography.
    Last edited by Sapporo; 08-25-2019 at 10:14 PM.
    pegasus modeling:
    sample": "Punjabi_Jat:Sapporo_AGUser",
    "fit": 1.1506,
    "IRN_Shahr_I_Sokhta_BA3": 43.33,
    "TKM_Gonur1_BA": 31.67,
    "RUS_Sintashta_MLBA": 25,
    "closestDistances": [

    avatar credit goes out to aaronbee2010

  15. #829
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    # Population Percent
    1 Baloch 37.35
    2 S-Indian 34.92
    3 Caucasian 12.84
    4 NE-Euro 6.87
    5 SW-Asian 1.82
    6 American 1.63
    7 Mediterranean 1.56


    Finished reading population data. 377 populations found.
    16 components mode.

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

    Least-squares method.

    Using 1 population approximation:
    1 punjabi_harappa @ 4.101863
    2 gujarati-muslim_harappa @ 4.240389
    3 kashmiri-pandit_reich @ 4.430599
    4 up-muslim_harappa @ 4.680348
    5 punjabi-jatt-muslim_harappa @ 5.345334
    6 punjabi-brahmin_harappa @ 5.591377
    7 kashmiri-pahari_harappa @ 5.704470
    8 singapore-indian-c_sgvp @ 6.007833
    9 kashmiri_harappa @ 6.112618
    10 pushtikar-brahmin_harappa @ 6.352833
    11 punjabi-ramgarhia_harappa @ 6.680559
    12 punjabi-khatri_harappa @ 7.781395
    13 punjabi-arain_xing @ 8.593579
    14 nepali_harappa @ 9.182607
    15 rajasthani-brahmin_harappa @ 9.405086
    16 punjabi-jatt-sikh_harappa @ 9.779368
    17 sindhi_harappa @ 9.807346
    18 up-brahmin_harappa @ 9.827119
    19 bihari-brahmin_harappa @ 10.273368
    20 nepalese-a_xing @ 10.459140

    Using 2 populations approximation:
    1 50% gujarati-muslim_harappa +50% punjabi-brahmin_harappa @ 2.554314


    Using 3 populations approximation:
    1 50% gujarati-muslim_harappa +25% kalash_hgdp +25% srivastava_reich @ 1.332559


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++
    1 gujarati-muslim_harappa + hallaki_reich + kalash_hgdp + pathan_hgdp @ 1.192557
    2 caribbean-indian_harappa + cochin-jew_behar + kalash_hgdp + kalash_hgdp @ 1.198120
    3 cochin-jew_behar + kalash_hgdp + maharashtrian_harappa + punjabi-khatri_harappa @ 1.210046
    4 cochin-jew_behar + kalash_hgdp + punjabi-khatri_harappa + tn-brahmin_xing @ 1.212295
    5 brahmin-tamil-nadu_metspalu + cochin-jew_behar + kalash_hgdp + punjabi-khatri_harappa @ 1.222240
    6 cochin-jew_behar + kalash_hgdp + karnataka-brahmin_harappa + punjabi-khatri_harappa @ 1.259218
    7 cochin-jew_behar + kashmiri-pandit_reich + kashmiri-pandit_reich + punjabi-khatri_harappa @ 1.260014
    8 bene-israel-jew_behar + bhatia_harappa + iyer-brahmin_harappa + kashmiri-pandit_reich @ 1.281064
    9 ap-hyderabad_harappa + cochin-jew_behar + kalash_hgdp + pathan_hgdp @ 1.294518
    10 cochin-jew_behar + kalash_hgdp + kalash_hgdp + up-muslim_metspalu @ 1.295082
    11 bene-israel-jew_behar + bhatia_harappa + kalash_hgdp + lodi_reich @ 1.305499
    12 bene-israel-jew_behar + bhatia_harappa + kashmiri-pandit_reich + tn-brahmin_xing @ 1.311589
    13 bihari_harappa + cochin-jew_behar + kalash_hgdp + kalash_hgdp @ 1.318014
    14 cochin-jew_behar + gujarati-b_hapmap + kalash_hgdp + kashmiri_harappa @ 1.327103
    15 bene-israel-jew_behar + bhatia_harappa + gujarati_harappa + kashmiri-pandit_reich @ 1.330654
    16 gujarati-muslim_harappa + gujarati-muslim_harappa + kalash_hgdp + srivastava_reich @ 1.332559
    17 bene-israel-jew_behar + kalash_hgdp + meena_metspalu + up-brahmin_harappa @ 1.339737
    18 cochin-jew_behar + kalash_hgdp + kalash_hgdp + sourastrian_harappa @ 1.350216
    19 gujarati-a_hapmap + sindhi_hgdp + stalskoe_xing + velama_metspalu @ 1.353328
    20 cochin-jew_behar + iyer-brahmin_harappa + kalash_hgdp + punjabi-khatri_harappa @ 1.360809

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  17. #830
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    Quote Originally Posted by agent_lime View Post
    Yes, it's not even a direct co-relation. It'll be a mix if IVCp + AASI + tribal ancestry. Various DMXX AASI coordinates are much more accurate on nMonte. AASI wise the low end for South Asians is between 14-18%.
    I would say 7-10% if you include Seraiki speaking Baloch since they are not just contained in Balochistan but dominate the Jnub Punjab/Derajat area, your model would apply more on the Indian side of Punjab or NW India broadly speaking.
    Last edited by pegasus; 08-25-2019 at 10:45 PM.

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