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View Full Version : Post (Global 25) Randwulf Siberian averages K10


Coastal Elite
08-18-2019, 03:25 AM
Post results from Randwulf_Siberian_averages_K10 on the Global 25 calculator. Located here: http://185.144.156.77:3000/custom_calculators.html

"sample": "Custom: DacoCeltic_scaled",

"fit": 2.8971,
"LBK_EN_K10": 48.33,
"Yamnaya_Samara_K10": 46.67,
"WHG_K10": 3.33,
"EHG_K10": 1.67,
"BedouinB_K10": 0,
"Han_K10": 0,
"Mbuti_K10": 0,
"Mixe_K10": 0,
"Nganassan_K10": 0,
"Onge_K10": 0,

"closestDistances":
"Yamnaya_Samara_K10:Average: 16.78808",
"LBK_EN_K10:Average: 17.59228",
"BedouinB_K10:Average: 23.87076",
"EHG_K10:Average: 26.82789",
"WHG_K10:Average: 35.70623",
"Onge_K10:Average: 45.73122",
"Han_K10:Average: 60.90662",
"Nganassan_K10:Average: 61.35445",
"Mixe_K10:Average: 66.14202",
"Mbuti_K10:Average: 95.08107"
]
Petalpusher
08-18-2019, 04:57 AM
This is what most Euro simply are in reality. Can fit perfectly with just early neo and some Yamnaya, no need for anything else, we can invent many other twisted models but this is the real chronological way it unfolded. Even all the meso WHG,SHG,EHG we clearly all have is in both of these two, can just some extra to perfect the fit (which really happened also in some parts of Europe). So not very exciting in the end but that's how it is.
Coastal Elite
08-18-2019, 05:17 AM
This is what most Euro simply are in reality. Can fit perfectly with just early neo and some Yamnaya, no need for anything else, we can invent many other twisted models but this is the real chronological way it unfolded. Even all the meso WHG,SHG,EHG we clearly all have is in both of these two, can just some extra to perfect the fit (which really happened also in some parts of Europe). So not very exciting in the end but that's how it is.

My results are a little unusual on these calculators in that I get close to 50-50 Early Neo and Yamnaya without much WHG. Most people get more WHG or some other mix.
Grace O'Malley
08-18-2019, 05:32 AM
"sample": "Custom:AGUser_Grace",
"fit": 4.5881,
"Yamnaya_Samara_K10": 52.5,
"LBK_EN_K10": 35.83,
"WHG_K10": 11.67,
"BedouinB_K10": 0,
"EHG_K10": 0,
"Han_K10": 0,
"Mbuti_K10": 0,
"Mixe_K10": 0,
"Nganassan_K10": 0,
"Onge_K10": 0,
"closestDistances": [
"Yamnaya_Samara_K10:Average: 14.93615",
"LBK_EN_K10:Average: 21.41379",
"EHG_K10:Average: 23.86537",
"BedouinB_K10:Average: 26.80425",
"WHG_K10:Average: 32.28494",
"Onge_K10:Average: 46.75074",
"Han_K10:Average: 61.92609",
"Nganassan_K10:Average: 62.03988",
"Mixe_K10:Average: 66.26592",
"Mbuti_K10:Average: 95.82663"
Vid Flumina
08-18-2019, 11:33 AM
"sample": "Custom:VFlumina_scaled",
"fit": 3.0505,
"LBK_EN_K10": 55.83,
"Yamnaya_Samara_K10": 40,
"WHG_K10": 4.17,
"BedouinB_K10": 0,
"EHG_K10": 0,
"Han_K10": 0,
"Mbuti_K10": 0,
"Mixe_K10": 0,
"Nganassan_K10": 0,
"Onge_K10": 0,
"closestDistances": [
"LBK_EN_K10:Average: 15.09542",
"Yamnaya_Samara_K10:Average: 19.35054",
"BedouinB_K10:Average: 22.15678",
"EHG_K10:Average: 29.49625",
"WHG_K10:Average: 36.36060",
"Onge_K10:Average: 45.80042",
"Han_K10:Average: 61.10148",
"Nganassan_K10:Average: 62.14733",
"Mixe_K10:Average: 67.14690",
"Mbuti_K10:Average: 93.98315"
Cumansky
08-18-2019, 09:09 PM
90466
Kaspias
08-18-2019, 09:18 PM
"fit": 2.7179,
"Yamnaya_Samara_K10": 40.17,
"LBK_EN_K10": 35.83,
"BedouinB_K10": 15.67,
"Han_K10": 4.17,
"Nganassan_K10": 4.17,
Lemgrant
08-18-2019, 09:35 PM
pen=0.001


"sample": "Custom:Lemgrant_scaled",
"fit": 6.2418,
"Yamnaya_Samara_K10": 43.33,
"LBK_EN_K10": 33.33,
"EHG_K10": 13.33,
"WHG_K10": 9.17,
"BedouinB_K10": 0.83,
"Han_K10": 0,
"Mbuti_K10": 0,
"Mixe_K10": 0,
"Nganassan_K10": 0,
"Onge_K10": 0,
"closestDistances": [
"Yamnaya_Samara_K10:Average: 14.47785",
"EHG_K10:Average: 22.17491",
"LBK_EN_K10:Average: 23.21892",
"BedouinB_K10:Average: 27.46863",
"WHG_K10:Average: 32.16103",
"Onge_K10:Average: 45.24625",
"Han_K10:Average: 60.18675",
"Nganassan_K10:Average: 60.43259",
"Mixe_K10:Average: 65.06940",
"Mbuti_K10:Average: 95.62111"
]
}
]

pen=0:


"sample": "Custom:Lemgrant_scaled",
"fit": 6.1807,
"Yamnaya_Samara_K10": 41.67,
"LBK_EN_K10": 35,
"EHG_K10": 11.67,
"WHG_K10": 10.83,
"Han_K10": 0.83,
"BedouinB_K10": 0,
"Mbuti_K10": 0,
"Mixe_K10": 0,
"Nganassan_K10": 0,
"Onge_K10": 0,
"closestDistances": [
"Yamnaya_Samara_K10:Average: 14.47785",
"EHG_K10:Average: 22.17491",
"LBK_EN_K10:Average: 23.21892",
"BedouinB_K10:Average: 27.46863",
"WHG_K10:Average: 32.16103",
"Onge_K10:Average: 45.24625",
"Han_K10:Average: 60.18675",
"Nganassan_K10:Average: 60.43259",
"Mixe_K10:Average: 65.06940",
"Mbuti_K10:Average: 95.62111"
]
}
]
Pedro Ruben
08-18-2019, 10:24 PM
"sample": "Custom: Pedro_scaled",
"fit": 4.7433

"LBK_EN_K10": 48.33,
"Yamnaya_Samara_K10": 25.83,
"BedouinB_K10": 11.67,
"WHG_K10": 6.67,
"EHG_K10": 5.83,
"Mbuti_K10": 1.67,
"Han_K10": 0,
"Mixe_K10": 0,
"Nganassan_K10": 0,
"Onge_K10": 0

"closestDistances":
"LBK_EN_K10:Average: 15.18601",
"BedouinB_K10:Average: 20.20120",
"Yamnaya_Samara_K10:Average: 20.85032",
"EHG_K10:Average: 29.79959",
"WHG_K10:Average: 36.27506",
"Onge_K10:Average: 45.23941",
"Han_K10:Average: 60.86255",
"Nganassan_K10:Average: 61.58097",
"Mixe_K10:Average: 66.38142",
"Mbuti_K10:Average: 91.89118"