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