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Thread: Who are the most West Eurasian shifted Indo-Aryan speakers?

  1. #11
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    Quote Originally Posted by Dr_McNinja View Post
    This looks like Balochi from the first chart
    The thing with Balochis is they are very clan based. There are some running around 60% Baloch on Harappa with very little AASI. They seem largely unchanged from maybe as far as the Iron Age. Not all samples are like that. I suspect these specific clans are the lowest AASI in India and Pakistan, outside of Tajik or Pashtun migrants.

  2. #12
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    Quote Originally Posted by client View Post
    It's not kohistanis they're very similar to Khatris(slightly less steppic versions of them I think)
    "sample": "Test1:Kohistani",
    "fit": 4.1114,
    "Ror": 95.83,
    "Simulated_AASI_NW_by_DMXX": 4.17,

    Between Kalash and Kho, I'm not sure how to tell, the difference in distance from AASI bw them is minute
    Kalash
    "Simulated_AASI_NW_by_DMXX:NW_SiSBA3: 51.866138"
    Kho
    "Simulated_AASI_NW_by_DMXX:NW_SiSBA3: 50.89476"

    This could be due to difference in AASI levels or difference in other components.


    --

    Ror is the most W eurasian in India at least on G25
    "sample": "Test1:Kamboj",
    "fit": 3.5433,
    "Ror": 92.5,
    "Simulated_AASI_NW_by_DMXX": 7.5,

    "sample": "Test2:Khatri",
    "fit": 3.6962,
    "Ror": 95.83,
    "Simulated_AASI_NW_by_DMXX": 4.17,
    You have to include East Eurasian groups like simulated AA, AASI North and South, and then get a catch all for Iran_N, Steppe sources. This methodology is flawed. Rors are extremely Steppe heavy, NW South Asians are Iran_N heavy. Both are West Eurasian.

  3. #13
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    Quote Originally Posted by client View Post
    It's not kohistanis they're very similar to Khatris(slightly less steppic versions of them I think)
    "sample": "Test1:Kohistani",
    "fit": 4.1114,
    "Ror": 95.83,
    "Simulated_AASI_NW_by_DMXX": 4.17,
    (n00b question) Just curious, what if you did this the other way around -- break down Ror into it's 'kohistani' and 'AASI' components. Wondering how that would turn out.
    Last edited by thejkhan; 06-02-2019 at 05:15 AM.

  4. #14
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    Quote Originally Posted by agent_lime View Post
    You have to include East Eurasian groups like simulated AA, AASI North and South, and then get a catch all for Iran_N, Steppe sources. This methodology is flawed. Rors are extremely Steppe heavy, NW South Asians are Iran_N heavy. Both are West Eurasian.
    Not really, it's not the most precise method but it is certainly isn't flawed.
    Iran_N and Sintashta_MLBA are both west eurasian and are therefore far closer to each other than either is to AASI NW. One may theoretically replace AASI with any sort ot East eurasian, to get the same(similar) result.
    "sample": "Test1:Ror",
    "fit": 4.1419,
    "Khatri": 100,
    "Simulated_AASI_NW_by_DMXX": 0,

    Note how Khatri doesn't even get Sarazm because it's got too much AASI(Iran≈Sintashta when vs AASI)
    "sample": "Test1:Ror",
    "fit": 4.1419,
    "Khatri": 100,
    "Sarazm_Eneolithic": 0,

    Basically G25 works by plotting all these samples on a 25 dimensional plot, so it doesn't really matter what you use as long as the deviation is in the right direction

    "sample": "Test1:Khatri",
    "fit": 3.7786,
    "Ror": 95,
    "Onge": 5,

    "sample": "Test1:Khatri",
    "fit": 3.9953,
    "Ror": 97.5,
    "Han": 2.5,

    And as I said, I couldn't use this method to discern between Kho and Kalash because their components are too similar

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    Quote Originally Posted by thejkhan View Post
    (n00b question) Just curious, what if you did this the other way around -- break down Ror into it's 'kohistani' and 'AASI' components. Wondering how that would turn out.
    Here
    "sample": "Test1:Ror",
    "fit": 4.5146,
    "Kohistani": 100,
    "Simulated_AASI_NW_by_DMXX": 0,

    "sample": "Test1:Ror",
    "fit": 4.1419,
    "Khatri": 100,
    "Simulated_AASI_NW_by_DMXX": 0,

    "sample": "Test1:Ror",
    "fit": 3.2431,
    "Kalash": 95,
    "Simulated_AASI_NW_by_DMXX": 5,

    "sample": "Test1:Ror",
    "fit": 3.455,
    "Kho_Singanali": 96.67,
    "Simulated_AASI_NW_by_DMXX": 3.33,

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    Quote Originally Posted by client View Post
    Here
    "sample": "Test1:Ror",
    "fit": 4.5146,
    "Kohistani": 100,
    "Simulated_AASI_NW_by_DMXX": 0,

    "sample": "Test1:Ror",
    "fit": 4.1419,
    "Khatri": 100,
    "Simulated_AASI_NW_by_DMXX": 0,

    "sample": "Test1:Ror",
    "fit": 3.2431,
    "Kalash": 95,
    "Simulated_AASI_NW_by_DMXX": 5,

    "sample": "Test1:Ror",
    "fit": 3.455,
    "Kho_Singanali": 96.67,
    "Simulated_AASI_NW_by_DMXX": 3.33,
    So it does appear Kohistani are more AASI shifted compared to their Dardic brethren Kalash & Kho. Thanks.

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  10. #17
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    Quote Originally Posted by client View Post
    Here
    "sample": "Test1:Ror",
    "fit": 4.5146,
    "Kohistani": 100,
    "Simulated_AASI_NW_by_DMXX": 0,

    "sample": "Test1:Ror",
    "fit": 4.1419,
    "Khatri": 100,
    "Simulated_AASI_NW_by_DMXX": 0,

    "sample": "Test1:Ror",
    "fit": 3.2431,
    "Kalash": 95,
    "Simulated_AASI_NW_by_DMXX": 5,

    "sample": "Test1:Ror",
    "fit": 3.455,
    "Kho_Singanali": 96.67,
    "Simulated_AASI_NW_by_DMXX": 3.33,
    Here's that of another Kho, who is just labeled incorrectly:

    "sample": "Ror:Average",
    "fit": 3.9762,
    "Chitrali_TanoliPashtun": 98.33,
    "Onge": 1.67

    With Paniya
    "sample": "Ror:Average",
    "fit": 3.6711,
    "Chitrali_TanoliPashtun": 94.17,
    "Paniya": 5.83,

    How this Kho matches the UP Jat
    "sample": "UP_Jatt:Average",
    "fit": 4.5842,
    "Chitrali_TanoliPashtun": 95,
    "Paniya": 5,

    And Kamboj
    "sample": "Kamboj:Average",
    "fit": 3.0297,
    "Chitrali_TanoliPashtun": 90.83,
    "Paniya": 9.17,
    Last edited by Rahuls77; 06-02-2019 at 10:05 PM.

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  12. #18
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    Quote Originally Posted by Rahuls77 View Post
    Here's that of another Kho, who is just labeled incorrectly:

    "sample": "Ror:Average",
    "fit": 3.9762,
    "Chitrali_TanoliPashtun": 98.33,
    "Onge": 1.67

    With Paniya
    "sample": "Ror:Average",
    "fit": 3.6711,
    "Chitrali_TanoliPashtun": 94.17,
    "Paniya": 5.83,

    How this Kho matches the UP Jat
    "sample": "UP_Jatt:Average",
    "fit": 4.5842,
    "Chitrali_TanoliPashtun": 95,
    "Paniya": 5,

    And Kamboj
    "sample": "Kamboj:Average",
    "fit": 3.0297,
    "Chitrali_TanoliPashtun": 90.83,
    "Paniya": 9.17,
    Why do you think it's labelled incorrectly? Is that a pure Kho or a half Kho half Pashtun mixed individual?

  13. #19
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    Quote Originally Posted by thejkhan View Post
    Why do you think it's labelled incorrectly? Is that a pure Kho or a half Kho half Pashtun mixed individual?
    My fault. I shall request Poi to correct it.

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    Quote Originally Posted by agent_lime View Post
    I made these a while ago. South Asians stop around 83-84% West Eurasian. Khamboj would be most West Eurasian folks in India. Then they are followed by Punjabi Jatt, Rors/Haryana Jats, Khatris.
    For Pakistan probably some Pashtun groups are in the 90%+ range. Kalash and some Balochi clans are hanging out between 85-90%. Among the user samples here Jatt Sheron, I, and Aaronbee are probably the most West Eurasian. Among the SC Asians Surbakhun is the most West Eurasian.



    Curious how to read this. Looking at mine (3rd from the left, I'm Midichlorian) it seems like a little under 60% non-AASI to 40ish% AASI? Could've sworn it was the other way around for me....

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