Out of curiosity I went to Vahuado site to see if the G25 results also make sense for Devils-Gate-N. Unfortunately the G25 results were NONSENSICAL as you can see below.
You don't have to take my word for it. Just go to Vahuado and copy Devils-Gate from G25 SCALED AVG Ancient spreadsheet and paste it in TARGET in G25 SCALED AVG Moderns calculator.
Hopefully this will convince those who are still on the fence to not take the G25 outputs seriously.
Here are some G25 nonsensical results compared to my PLINK IBS results above. You maybe able to spot even more illogical results.
LIST OF G25 NONSENSICAL RESULTS |
NO |
NONSENSICAL RESULT |
IBS- PLINK |
DAVIDSKI – G25 |
1 |
Devils-Gate closer to many S.& W Asians & Europeans than to E. Eurasians |
NO |
YES |
2 |
Devils-Gate closer to Libyans, Algerians, Egyptians, Berber than to Lithuanians & Armenians |
NO |
YES |
3 |
Devils-Gate closer to S. Iranians than to Kurds |
NO |
YES |
G25 Modern Averages scaled, official datasheet |
POPULATION |
Distance to RUS_Devils_Gate_Cave_N |
Mongola |
0.09648 |
Korean |
0.12362 |
Japanese |
0.12374 |
Tibetan_Gangcha |
0.12467 |
Kalmyk |
0.13047 |
Mongolian |
0.13589 |
Buryat |
0.13749 |
Han_Jiangsu |
0.15949 |
Han_Shanghai |
0.16224 |
Han_Zhejiang |
0.16848 |
Han_Hubei |
0.17012 |
Han_Sichuan |
0.17243 |
Koryak |
0.18688 |
Yakut |
0.19216 |
Dai |
0.24433 |
Kazakh |
0.24489 |
Brahmin_Manipuri |
0.28047 |
Karakalpak |
0.28056 |
Uygur |
0.31489 |
Uzbek |
0.36435 |
Bashkir |
0.37197 |
Turkmen |
0.42475 |
Gond |
0.42698 |
Paniya |
0.45062 |
Irula |
0.45444 |
Pulliyar |
0.45849 |
Burusho |
0.46823 |
North_Kannadi |
0.46981 |
Hakkipikki |
0.47077 |
Uttar_Pradesh |
0.47749 |
Mala |
0.47761 |
Yadava |
0.47845 |
Maratha |
0.47910 |
Dusadh |
0.47939 |
Kol |
0.48416 |
Tatar_Kazan |
0.48508 |
Piramalai |
0.48621 |
Kanjar |
0.48656 |
Punjabi_Lahore |
0.48694 |
Mixtec |
0.48810 |
Zapotec |
0.48925 |
Pima |
0.48936 |
Velamas |
0.49030 |
Brahmin_Tamil_Nadu |
0.49132 |
Tajik |
0.49203 |
Gujarati |
0.49562 |
Kashmiri_Pandit |
0.49853 |
Mayan |
0.49890 |
Mixe |
0.49892 |
Quechua |
0.50299 |
Brahmin_Gujarat |
0.50491 |
Brahmin_Uttar_Pradesh |
0.50595 |
Tatar_Mishar |
0.51283 |
Pashtun |
0.51377 |
Tajik_Ishkashim |
0.51603 |
Gujar_Pakistan |
0.51798 |
Sindhi |
0.51821 |
Punjabi_Jatt |
0.51933 |
Pashtun-Yusufzai |
0.52017 |
Pashtun-Uthmankhel |
0.52148 |
Tajik_Shugnan |
0.52207 |
Bolivian_LaPaz |
0.52214 |
Pashtun-Tarkalani |
0.52294 |
Tajik_Rushan |
0.52785 |
Kalash |
0.52873 |
Brahui |
0.54727 |
Balochi |
0.54963 |
Parsi_India |
0.55047 |
Parsi_Pakistan |
0.55150 |
Makrani |
0.55650 |
Circassian |
0.55678 |
Iranian_Bandari |
0.55968 |
North_Ossetian |
0.56144 |
Finnish_East |
0.56274 |
Karitiana |
0.56404 |
Iranian_Fars |
0.57057 |
Surui |
0.57266 |
Finnish |
0.57687 |
Adygei |
0.57706 |
Australian |
0.57981 |
Iranian_Lor |
0.58065 |
Tabasaran |
0.58172 |
Iranian_Zoroastrian |
0.58288 |
Kurdish |
0.58813 |
Syrian |
0.59025 |
Abkhasian |
0.59109 |
Jordanian |
0.59519 |
Russian_Kursk |
0.59637 |
Moldovan |
0.59668 |
Libyan |
0.59770 |
BedouinA |
0.59798 |
Russian_Orel |
0.59873 |
Egyptian |
0.59881 |
Algerian |
0.60187 |
Estonian |
0.60205 |
Berber_Tunisia_Sen |
0.60223 |
Hungarian |
0.60227 |
Belarusian |
0.60644 |
Albanian |
0.60646 |
Armenian |
0.60886 |
Spanish_Asturias |
0.61105 |
Spanish_Andalucia |
0.61165 |
Lithuanian_RA |
0.61167 |
Spanish_Galicia |
0.61185 |
Spanish_Soria |
0.61193 |
English |
0.61247 |
Lithuanian_SZ |
0.61545 |
Sardinian |
0.63860 |
Somali |
0.65247 |
Masai |
0.71578 |
Papuan |
0.75843 |
Ethiopian_Gumuz |
0.75873 |
Ethiopian_Mursi |
0.76359 |
Ethiopian_Anuak |
0.79354 |
Luhya_Kenya |
0.80931 |
Yoruba |
0.83579 |
Mbuti |
1.00219 |
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