Target: Katarzyna_scaled(sim)
Distance: 1.2784% / 0.01278421
84.8 Russian_Smolensk
10.2 Hungarian
5.0 Swedish
Target: Katarzyna(real)
Distance: 1.9486% / 0.01948557
70.6 Russian_Smolensk
29.4 Swedish
Printable View
Target: Katarzyna_scaled(sim)
Distance: 1.2784% / 0.01278421
84.8 Russian_Smolensk
10.2 Hungarian
5.0 Swedish
Target: Katarzyna(real)
Distance: 1.9486% / 0.01948557
70.6 Russian_Smolensk
29.4 Swedish
Target: Eurafricanid-EU
Distance: 3.0623% / 0.03062312
50.3 Italian_Campania
49.7 French_Brittany
Distance to: Eurafricanid-EU
0.06811809 Italian_Campania
0.06866716 French_Brittany
0.07738885 Hungarian
0.09939807 Swedish
0.12496191 Russian_Smolensk
Ok I am about to update all my calc results with new ancestry coords (had only MH before)
Target: Katarzyna_MH
Distance: 1.9486% / 0.01948557
70.6 Russian_Smolensk
29.4 Swedish
Target: Katarzyna_AncestryDNA
Distance: 2.3323% / 0.02332322
70.0 Russian_Smolensk
30.0 Swedish
Almost same. Yippieh!
Target: Kenshiro_scaled
Distance: 2.6271% / 0.02627111
76.8 Italian_Campania
22.6 Hungarian
0.6 French_Brittany
Target: Polak_Simulated_scaled
Distance: 1.3442% / 0.01344159
81.6 Russian_Smolensk
18.4 Swedish
Real G25:
Target: Polak_scaled
Distance: 3.1338% / 0.03133842
96.0 Russian_Smolensk
4.0 Swedish
G25 and 23andme sucks balls. How do I have such a ridiculous distance? No wonder none of the calcs get my ethnicity right
I'm just showing this for a comparison so you can see the difference between using averaged samples vs individual samples. Using the official modern scaled same population groups as the original poster used my results changed a little bit and now look like this:
Target: 2datasetsaveragedG25.Brad
Distance: 0.6571% / 0.00657090
60.6 Swedish
32.4 French_Brittany
5.4 Italian_Campania
1.4 Amerindian_North
0.2 Yoruba
I made an ancient version of the same calculator. Pastebin said the file is too large but I would share the samples I used if I can add it somehow. I recommend using .25x ADC.
I used the same groups but added the small Mariopoulis collection of "Africa" also.
My results are not very Western. They are mostly Northern and Eastern on this one using the average of my two data sets as Target.
Target: Brad_G25_Scaled_Average
Distance: 0.5377% / 0.00537669 | ADC: 0.25x RC
52.4 Sweden_Viking.SG
11.0 France_GrandEst_IA2
11.0 Hungary_Langobard.SG
6.0 Russia_Andronovo.SG
6.0 Russia_Viking.SG
4.6 Hungary_DanubeTisza_LSarmation_EHun
4.2 Hungary_Langobard
4.2 Russia_MLBA_Sintashta
0.6 Dominican_Atajadizo_Ceramic
Target: BALBOA
Distance: 6.4902% / 0.06490207
95.0 Italian_Campania
5.0 French_Brittany
Not bad distance compared to others here.
Target: JerryS_scaled
Distance: 1.8767% / 0.01876701
69.6 French_Brittany
23.4 Swedish
7.0 Italian_Campania
With non-European sources:
Target: JerryS_scaled
Distance: 1.8672% / 0.01867178
71.2 French_Brittany
22.2 Swedish
6.4 Italian_Campania
0.2 Yoruba
Target: Viktor_scaled
Distance: 1.3972% / 0.01397187
43.2 Russian_Smolensk
34.4 Italian_Campania
22.4 Hungarian
Target: Upsilander23andme
Distance: 2.2574% / 0.02257444
56.8 French_Brittany
31.2 Hungarian
12.0 Swedish
Distance to: Upsilander23andme
0.02930409 French_Brittany
0.03762656 Swedish
0.03787824 Hungarian
0.06830124 Russian_Smolensk
0.12917162 Italian_Campania
0.60238893 Amerindian_North
0.78739796 Yoruba
Distance to: Repent:RealG25_scaled
0.03786094 Hungarian
0.03853245 Russian_Smolensk
0.05958190 Swedish
0.07693839 French_Brittany
0.13832518 Italian_Campania
Target: Repent:RealG25_scaled
Distance: 2.7768% / 0.02776766
66.0 Russian_Smolensk
25.0 Hungarian
9.0 Italian_Campania
here we go..
Target: tk'es_scaled
Distance: 3.6060% / 0.03605992
82.4 NorthCaucasus
13.6 Swedish
4.0 Caucasus
ancient
g25 ancestral calc
Target: tk'es_scaled
Distance: 4.0178% / 0.04017840
36.6 CHG/IranN
27.8 Steppe
25.8 Anatolian_Farmer
5.8 Natufian
2.4 Siberian
1.6 Southeast_Asian
from neolithic to bronze age
Target: tk'es_scaled
Distance: 3.3922% / 0.03392246
36.4 Caucasus
30.2 Yamnaya_and_Offshoots
13.4 Mesopotamia_BA
10.0 Aegean_Neolithic
5.4 ARM_Areni_C
3.2 Altai_BA
1.4 Han
You can run what you get on in this calculator as a target and ancients that you get both or one of them as a source. And see on multi category or vahudao calculator why possibly you are getting Sweden, if that is the question for you. Cause you will see in which component Sweden must be high that other modern population of your are low or lack it.
Distance to: Gannicus_MergedFile_officialDavidski_scaled
0.02110388 French_Brittany
0.04567911 Swedish
0.05565715 Hungarian
0.09350062 Russian_Smolensk
0.12197962 Italian_Campania
Target: Gannicus_MergedFile_officialDavidski_scaled
Distance: 0.0210% / 0.02099436
98.2 French_Brittany
1.8 Italian_Campania