Model yourself with only a sample from each continent (G25 calculator)

[gixajo]

I tried to make this model using only one sample by continent, so I tried to choose samples from countries/ethnicities with less input from other continents.

Of course, if you are not from any region/country/ethnicity represented in these sources, you will not get close distances, and you will get more % from other continents, and this does not imply you hace ancestry necessarily from those regions.

UNSCALED coordinates

https://vahaduo.github.io/vahaduo/

(@Maestro, yes, you need G25 coordinates to run this calculator)




Europe:Irish,0.0117203,0.0132812,0.0161984,0.01493 91,0.0124578,0.0067766,0.0012766,0.0020688,0.00153 12,0.0014953,-0.0043969,0.0037406,-0.0096703,-0.0101203,0.0186766,0.0036359,-0.0084922,0.0017406,0.0005969,0.0010703,0.0041469, 0.0009906,-0.0002891,0.0122547,0.0008906
Oceania:AustralianAborigen,-0.0037,-0.02315,-0.05665,0.0726,0.045,-0.122,-0.00135,0.00325,-0.00405,0.00045,-0.0038,8e-04,0.00055,-0.00195,-0.0026,-1e-04,0.0077,0.0016,-0.0019,0.00485,0.00285,-3e-04,-0.00275,0.00105,-0.0038
America:AmerindianNorth,0.0046,-0.0323,0.0291,0.0228,-0.034,-0.006,-0.0861,-0.1051,-0.0013,-0.0086,0.0042,-0.0033,0.0038,0.0003,-0.0108,-0.002,-0.0002,0.0046,0.01,0.0051,0.0019,-0.008,-0.0034,0.0048,0.0061
Africa:Yoruba,-0.0554,0.0066,0.0055,0.005,0.0006,0.0054,-0.02,0.0221,-0.0257,0.0193,0.0027,0.0033,0.0169,0.001,0.0102,-0.0053,0.0076,0.0034,0.0061,-0.0017,-0.0003,0.0006,-0.0016,-0.0017,-0.0025
Asia:Japanese,0.0020167,-0.0438667,0.0034667,-0.0183,0.0117667,0.00335,0.0015,0.00025,-0.0031833,0.00585,-0.0456,-0.0049833,0.0077667,-0.0051333,-0.00815,-0.0033667,0.0002333,0.0028333,0.0013333,-0.0074,0.0216667,-0.0134167,0.0039833,0.0028,-0.03505

[Defcon2]

Target: Juan
Distance: 3.8191% / 0.03819140
78.8 Europe:Irish
13.4 Asia:Japanese
5.8 Africa:Yoruba
2.0 Oceania:AustralianAborigen

Distance to: Juan
0.04160321 Europe:Irish
0.09139874 Africa:Yoruba
0.09150919 Asia:Japanese
0.16190151 America:AmerindianNorth
0.16867827 Oceania:AustralianAborigen

[gixajo]

Of course, it´s for fun.:thumb001:

[gixajo]

T
....




Que burrada de japonés te pone...

[Defcon2]

Que burrada de japonés te pone...

Tengo un abuelo shinto por si no lo sabías y poseo el mismo color de piel según aquel mapa.

[gixajo]

Tengo un abuelo shinto por si no lo sabías y poseo el mismo color de piel según aquel mapa.

Sí, lo leí en aquellos carteles.

[Damião de Góis]

Target: Gil_Vicente
Distance: 2.9647% / 0.02964701
82.0 Europe
9.2 Africa
5.4 Asia
3.2 Oceania
0.2 America

Distance to: Gil_Vicente
0.03255335 Europe:Irish
0.08624883 Africa:Yoruba:NA18488
0.09471696 Asia:Japanese
0.16015521 America:AN1
0.16562255 Oceania:Australian

[Pedro Ruben]

Target: Pedro
Distance: 3.0145% / 0.03014501
79.8 Europe
9.0 Asia
8.6 Africa
1.8 America
0.8 Oceania

Distance to: Pedro
0.03348738 Europe:Irish
0.08652312 Africa:Yoruba
0.09177575 Asia:Japanese
0.15766483 America:AmerindianNorth
0.16907980 Oceania:AustralianAborigen

[Hulu]

Can I say the N-word :lol: My distance is higher though

Target: Hulu
Distance: 5.3455% / 0.05345523
59.8 Europe
18.6 Africa
11.2 Asia
6.2 Oceania
4.2 America

Distance to: Hulu
0.06083808 Europe:Irish
0.08902297 Africa:Yoruba
0.09787769 Asia:Japanese
0.15926927 America:AmerindianNorth
0.16526657 Oceania:AustralianAborigen

[Coastal Elite]

Target: DacoCeltic
Distance: 2.2356% / 0.02235648
83.2 Europe
9.0 Asia
5.4 Africa
1.2 America
1.2 Oceania

Distance to: DacoCeltic
0.02556689 Europe:Irish
0.08695154 Africa:Yoruba
0.09015012 Asia:Japanese
0.15747508 America:AmerindianNorth
0.16750057 Oceania:AustralianAborigen

[Hulu]

Can you do it with Norwegian and/or Dutch instead of Irish?

[gixajo]

Can you do it with Norwegian and/or Dutch instead of Irish?

:thumb001:


Europe:Dutch,0.0111359,0.0129297,0.0162,0.0142875, 0.01315,0.0059609,0.0027844,0.0035016,0.0017484,0. 0001797,-0.0039688,0.0030609,-0.0058578,-0.006425,0.0128531,0.0040312,-0.0063,0.001,0.0033969,0.00225,0.0037594,0.0023188 ,0.0002172,0.0127422,-0.0004109
Oceania:AustralianAborigen,-0.0037,-0.02315,-0.05665,0.0726,0.045,-0.122,-0.00135,0.00325,-0.00405,0.00045,-0.0038,8e-04,0.00055,-0.00195,-0.0026,-1e-04,0.0077,0.0016,-0.0019,0.00485,0.00285,-3e-04,-0.00275,0.00105,-0.0038
America:AmerindianNorth,0.0046,-0.0323,0.0291,0.0228,-0.034,-0.006,-0.0861,-0.1051,-0.0013,-0.0086,0.0042,-0.0033,0.0038,0.0003,-0.0108,-0.002,-0.0002,0.0046,0.01,0.0051,0.0019,-0.008,-0.0034,0.0048,0.0061
Africa:Yoruba,-0.0554,0.0066,0.0055,0.005,0.0006,0.0054,-0.02,0.0221,-0.0257,0.0193,0.0027,0.0033,0.0169,0.001,0.0102,-0.0053,0.0076,0.0034,0.0061,-0.0017,-0.0003,0.0006,-0.0016,-0.0017,-0.0025
Asia:Japanese,0.0020167,-0.0438667,0.0034667,-0.0183,0.0117667,0.00335,0.0015,0.00025,-0.0031833,0.00585,-0.0456,-0.0049833,0.0077667,-0.0051333,-0.00815,-0.0033667,0.0002333,0.0028333,0.0013333,-0.0074,0.0216667,-0.0134167,0.0039833,0.0028,-0.03505


Target: gixajo
Distance: 3.3897% / 0.03389681
87.6 Europe:Dutch
5.2 Asia:Japanese
5.0 Africa:Yoruba
2.2 Oceania:AustralianAborigen



Europe:German,0.0114443,0.0135278,0.0153747,0.0119 835,0.0129987,0.0056101,0.0017304,0.0025076,0.0017 241,0.0010316,-0.0027177,0.0015835,-0.0036127,-0.0018468,0.0062722,0.0024823,-0.0025101,0.0013127,0.0026785,0.0013747,0.0025165, 0.0016215,5.82e-05,0.0068924,0.0002316
Oceania:AustralianAborigen,-0.0037,-0.02315,-0.05665,0.0726,0.045,-0.122,-0.00135,0.00325,-0.00405,0.00045,-0.0038,8e-04,0.00055,-0.00195,-0.0026,-1e-04,0.0077,0.0016,-0.0019,0.00485,0.00285,-3e-04,-0.00275,0.00105,-0.0038
America:AmerindianNorth,0.0046,-0.0323,0.0291,0.0228,-0.034,-0.006,-0.0861,-0.1051,-0.0013,-0.0086,0.0042,-0.0033,0.0038,0.0003,-0.0108,-0.002,-0.0002,0.0046,0.01,0.0051,0.0019,-0.008,-0.0034,0.0048,0.0061
Africa:Yoruba,-0.0554,0.0066,0.0055,0.005,0.0006,0.0054,-0.02,0.0221,-0.0257,0.0193,0.0027,0.0033,0.0169,0.001,0.0102,-0.0053,0.0076,0.0034,0.0061,-0.0017,-0.0003,0.0006,-0.0016,-0.0017,-0.0025
Asia:Japanese,0.0020167,-0.0438667,0.0034667,-0.0183,0.0117667,0.00335,0.0015,0.00025,-0.0031833,0.00585,-0.0456,-0.0049833,0.0077667,-0.0051333,-0.00815,-0.0033667,0.0002333,0.0028333,0.0013333,-0.0074,0.0216667,-0.0134167,0.0039833,0.0028,-0.03505



Target: gixajo
Distance: 3.0856% / 0.03085610
94.0 Europe:German
2.8 Asia:Japanese
1.8 Oceania:AustralianAborigen
1.4 Africa:Yoruba



Europe:Norwegian,0.0117571,0.0126,0.0180143,0.0165 429,0.0125571,0.0075429,0.0017857,0.0027286,0.0028 ,0.0002143,-0.0023,0.0024571,-0.0050571,-0.0085,0.0155286,0.0070857,-0.0041571,0.0020571,0.0005429,6e-04,0.0045143,0.0045,0.0034714,0.0147143,0.0009143
Oceania:AustralianAborigen,-0.0037,-0.02315,-0.05665,0.0726,0.045,-0.122,-0.00135,0.00325,-0.00405,0.00045,-0.0038,8e-04,0.00055,-0.00195,-0.0026,-1e-04,0.0077,0.0016,-0.0019,0.00485,0.00285,-3e-04,-0.00275,0.00105,-0.0038
America:AmerindianNorth,0.0046,-0.0323,0.0291,0.0228,-0.034,-0.006,-0.0861,-0.1051,-0.0013,-0.0086,0.0042,-0.0033,0.0038,0.0003,-0.0108,-0.002,-0.0002,0.0046,0.01,0.0051,0.0019,-0.008,-0.0034,0.0048,0.0061
Africa:Yoruba,-0.0554,0.0066,0.0055,0.005,0.0006,0.0054,-0.02,0.0221,-0.0257,0.0193,0.0027,0.0033,0.0169,0.001,0.0102,-0.0053,0.0076,0.0034,0.0061,-0.0017,-0.0003,0.0006,-0.0016,-0.0017,-0.0025
Asia:Japanese,0.0020167,-0.0438667,0.0034667,-0.0183,0.0117667,0.00335,0.0015,0.00025,-0.0031833,0.00585,-0.0456,-0.0049833,0.0077667,-0.0051333,-0.00815,-0.0033667,0.0002333,0.0028333,0.0013333,-0.0074,0.0216667,-0.0134167,0.0039833,0.0028,-0.03505


Target: gixajo
Distance: 3.5940% / 0.03594028
82.2 Europe:Norwegian
8.2 Asia:Japanese
6.6 Africa:Yoruba
3.0 Oceania:AustralianAborigen


Edit:i put German, and not Norvegian, sorry.

[gixajo]

Tengo un abuelo shinto por si no lo sabías y poseo el mismo color de piel según aquel mapa.

Qué raro, no me pediste información por mi extraña respuesta sobre aquellos carteles...

[Hulu]

Distance to: Hulu
0.05932150 Europe:Norwegian
0.08902297 Africa:Yoruba
0.09787769 Asia:Japanese
0.15926927 America:AmerindianNorth
0.16526657 Oceania:AustralianAborigen

Target: Hulu
Distance: 5.2419% / 0.05241885
61.6 Europe
17.4 Africa
11.2 Asia
6.0 Oceania
3.8 America

Dutch
Distance to: Hulu
0.05590160 Europe:Dutch
0.08902297 Africa:Yoruba
0.09787769 Asia:Japanese
0.15926927 America:AmerindianNorth
0.16526657 Oceania:AustralianAborigen
Target: Hulu
Distance: 5.0860% / 0.05086022
66.8 Europe
15.6 Africa
8.2 Asia
5.2 Oceania
4.2 America

German
Distance to: Hulu
0.04671826 Europe:German
0.08902297 Africa:Yoruba
0.09787769 Asia:Japanese
0.15926927 America:AmerindianNorth
0.16526657 Oceania:AustralianAborigen

Target: Hulu
Distance: 4.4583% / 0.04458262
79.8 Europe
9.6 Africa
4.2 Asia
4.2 Oceania
2.2 America

[Hulu]

:
Edit:i put German, and not Norvegian, sorry.

Last one, put a central Italian for Europe :)

[Grace O'Malley]

Target: Grace_unscaled
Distance: 1.2847% / 0.01284708
99.6 Europe:Irish
0.4 Oceania:AustralianAborigen

Target: Grace_unscaled
Distance: 1.4491% / 0.01449110
99.6 Europe:Dutch
0.4 America:AmerindianNorth

Target: Grace_unscaled
Distance: 2.1381% / 0.02138094
100.0 Europe:German

Target: Grace_unscaled
Distance: 1.5606% / 0.01560574
97.2 Europe:Norwegian
2.4 Ogiek
0.4 Oceania:AustralianAborigen

Target: Grace_unscaled
Distance: 1.5739% / 0.01573882
99.8 Europe:French_Brittany
0.2 Ogiek

The further the population from you the more mixed results it seems.

Target: Grace_unscaled
Distance: 3.8079% / 0.03807899
90.2 Europe:Spanish_Andalucia
4.2 Africa:Yoruba
3.0 America:AmerindianNorth
2.6 Ogiek


Target: Grace_unscaled
Distance: 5.0877% / 0.05087693
76.2 Europe:Sicilian_East
7.8 Africa:Yoruba
7.0 Ogiek
4.4 Asia:Japanese
3.2 America:AmerindianNorth
1.4 Oceania:AustralianAborigen

[JamesBond007]

Target: Kevin
Distance: 2.0516% / 0.02051621
98.6 Europe
1.0 America
0.4 Oceania

Target: Kevin
Distance: 2.0516% / 0.02051621
98.6 Europe: Dutch
1.0 America:AmerindianNorth
0.4 Oceania:AustralianAborigen


Distance to: Kevin
0.02057790 Europe: Dutch
0.09302892 Africa:Yoruba
0.09870923 Asia:Japanese
0.15994640 America:AmerindianNorth
0.16909036 Oceania:AustralianAborigen

[gixajo]

Last one, put a central Italian for Europe :)

I have been kind enough posting 3 alternative sources only for you. My calculator was with an Irish sample, if you want a new calculator with diferent sources, do a new one.:)

If I put any Spanish source I will obtain closer distances, but that was not the point of this model.

[JamesBond007]

The further the population from you the more mixed results it seems.



Yeah, that is why I used Dutch out of the available options the original poster gave because I know I am close to that population.:thumb001:

[Hulu]

I have been kind enough posting 3 alternative sources only for you. My calculator was with an Irish sample, if you want a new calculator with diferent sources, do a new one.:)

If I put any Spanish source I will obtain closer distances, but that was not the point of this model.

It's not about the closer distances, just really want to see how the rest will measure up/ If you have the coordinates I can add it myself.

[gixajo]

Target: Grace_unscaled
Distance: 1.2847% / 0.01284708
99.6 Europe:Irish
0.4 Oceania:AustralianAborigen


Target: Grace_unscaled
Distance: 3.8079% / 0.03807899
90.2 Europe:Spanish_Andalucia
4.2 Africa:Yoruba
3.0 America:AmerindianNorth
2.6 Ogiek




They always work in the same way. I said it in the first post.


Target: gixajo
Distance: 1.2470% / 0.01246972
100.0 Europe:Spanish_Andalucia

Target: gixajo
Distance: 3.6308% / 0.03630801
67.0 Europe:Sardinian
15.4 Africa:Yoruba
9.4 Asia:Japanese
4.4 America:AmerindianNorth
3.8 Oceania:AustralianAborigen

[Hulu]

Target: Grace_unscaled
Distance: 5.0877% / 0.05087693
76.2 Europe:Sicilian_East
7.8 Africa:Yoruba
7.0 Ogiek
4.4 Asia:Japanese
3.2 America:AmerindianNorth
1.4 Oceania:AustralianAborigen

Where did the Ogiek come from? It's interesting but also it doesn't make sense how it models you as having extra african to the east sicilian just because of the long distances

[gixajo]

It's not about the closer distances, just really want to see how the rest will measure up/ If you have the coordinates I can add it myself.

All samples are in eurogenes blog , those are not customized coordinates by me.:)

[Hulu]

All samples are in eurogenes blog , those are not customized coordinates by me.:)



I dont follow Eurogenes :) Im Albanian, at least i dont ask you ten times like Maestro ;)

[Trouble]

Distance: 7.4619% / 0.07461935
49.4 Europe
17.8 Africa
16.4 Asia
10.2 Oceania
6.2 America

https://i.dailymail.co.uk/i/pix/2014/02/12/article-2555821-1B5A59E200000578-574_964x661.jpg

[SUPREEEEEME]

Target: SUPREEEEEME
Distance: 3.9647% / 0.03964666
68.8 Europe
16.0 Asia
12.8 Africa
1.4 Oceania
1.0 America

[gixajo]

I dont follow Eurogenes :) Im Albanian, at least i dont ask you ten times like Maestro ;)

I have had an idea for Maestro (or for any who has not G25 coordinates ) to get some pseudoG25 coordinates for free.

This afternoon I will post how to get them, but just now I must go.:)

[walid]

Target: Walid
Distance: 8.4880% / 0.08487968
53.8 Europe
22.8 Africa
17.6 Asia
4.6 Oceania
1.2 America

[Zoro]

I tried to make this model using only one sample by continent, so I tried to choose samples from countries/ethnicities with less input from other continents.

Of course, if you are not from any region/country/ethnicity represented in these sources, you will not get close distances, and you will get more % from other continents, and this does not imply you hace ancestry necessarily from those regions.

UNSCALED coordinates

https://vahaduo.github.io/vahaduo/

(@Maestro, yes, you need G25 coordinates to run this calculator)




Europe:Irish,0.0117203,0.0132812,0.0161984,0.01493 91,0.0124578,0.0067766,0.0012766,0.0020688,0.00153 12,0.0014953,-0.0043969,0.0037406,-0.0096703,-0.0101203,0.0186766,0.0036359,-0.0084922,0.0017406,0.0005969,0.0010703,0.0041469, 0.0009906,-0.0002891,0.0122547,0.0008906
Oceania:AustralianAborigen,-0.0037,-0.02315,-0.05665,0.0726,0.045,-0.122,-0.00135,0.00325,-0.00405,0.00045,-0.0038,8e-04,0.00055,-0.00195,-0.0026,-1e-04,0.0077,0.0016,-0.0019,0.00485,0.00285,-3e-04,-0.00275,0.00105,-0.0038
America:AmerindianNorth,0.0046,-0.0323,0.0291,0.0228,-0.034,-0.006,-0.0861,-0.1051,-0.0013,-0.0086,0.0042,-0.0033,0.0038,0.0003,-0.0108,-0.002,-0.0002,0.0046,0.01,0.0051,0.0019,-0.008,-0.0034,0.0048,0.0061
Africa:Yoruba,-0.0554,0.0066,0.0055,0.005,0.0006,0.0054,-0.02,0.0221,-0.0257,0.0193,0.0027,0.0033,0.0169,0.001,0.0102,-0.0053,0.0076,0.0034,0.0061,-0.0017,-0.0003,0.0006,-0.0016,-0.0017,-0.0025
Asia:Japanese,0.0020167,-0.0438667,0.0034667,-0.0183,0.0117667,0.00335,0.0015,0.00025,-0.0031833,0.00585,-0.0456,-0.0049833,0.0077667,-0.0051333,-0.00815,-0.0033667,0.0002333,0.0028333,0.0013333,-0.0074,0.0216667,-0.0134167,0.0039833,0.0028,-0.03505



I was looking at everyone's results and something is VERY VERY OFF here because Eurasians (Japanese and Europeans) should be MUCH closer to each other than Eurasians to Yoruba (even with basal eurasian factored in) and not the other way around. Reason is
because ALL Eurasians share substantially the same grandparents from the Out-of-Africa event.

The G25 can't be that bad. Try using SCALED to see if that fixes the problem and Europeans become significantly closer to Japanese than Europeans to Yoruba

[Hapanuwa]

Target: Hapanuwa
Distance: 4.1367% / 0.04136716
59.4 Europe
19.8 Asia
13.4 Africa
5.2 Oceania
2.2 America

[gixajo]

I was looking at everyone's results and something is VERY VERY OFF here because Eurasians (Japanese and Europeans) should be MUCH closer to each other than Eurasians to Yoruba (even with basal eurasian factored in) and not the other way around. Reason is
because ALL Eurasians share substantially the same grandparents from the Out-of-Africa event.

The G25 can't be that bad. Try using SCALED to see if that fixes the problem and Europeans become significantly closer to Japanese than Europeans to Yoruba

I am not trying to get an ACCURATE calculator, I am simply PLAYING, it´s impossible get an accurate calculator with only ONE population from any continent.It´s a game.

Thanks for your advice, but I don´t need it.:thumb001:

[celticdragongod]

Distance to: CDG
0.01375870 Europe:Irish
0.09210168 Africa:Yoruba
0.09921524 Asia:Japanese
0.16100127 America:AmerindianNorth
0.17096719 Oceania:AustralianAborigen

Target: CDG
Distance: 1.3751% / 0.01375133
99.4 Europe:Irish
0.6 Africa:Yoruba

[celticdragongod]

Distance to: CDG
0.01233717 Europe:Dutch
0.09210168 Africa:Yoruba
0.09921524 Asia:Japanese
0.16100127 America:AmerindianNorth
0.17096719 Oceania:AustralianAborigen

Target: CDG
Distance: 1.2337% / 0.01233717
100.0 Europe:Dutch

[celticdragongod]

Distance to: CDG
0.01937431 Europe:German
0.09210168 Africa:Yoruba
0.09921524 Asia:Japanese
0.16100127 America:AmerindianNorth
0.17096719 Oceania:AustralianAborigen

Target: CDG
Distance: 1.9374% / 0.01937431
100.0 Europe:German

[celticdragongod]

Distance to: CDG
0.01566697 Europe:Norwegian
0.09210168 Africa:Yoruba
0.09921524 Asia:Japanese
0.16100127 America:AmerindianNorth
0.17096719 Oceania:AustralianAborigen

Target: CDG
Distance: 1.5655% / 0.01565458
99.2 Europe:Norwegian
0.6 Asia:Japanese
0.2 Africa:Yoruba

[gixajo]

I dont follow Eurogenes :) Im Albanian, at least i dont ask you ten times like Maestro ;)

In modern pop averages sources model in Vahaduo you have all population averages.

Choose what you want:


Italian_Abruzzo,0.0099,0.0146526,-0.0001789,-0.0107632,0.0052368,-0.0045,0.0003316,-0.0009895,0.0018526,0.0114211,0.0003158,0.0024474,-0.0037895,-0.0028368,-0.0045316,-0.0011053,0.0014263,0.0002105,0.0026737,-0.0029526,-0.0030526,0.0010789,0.0007211,0.0014158,-0.0008053
Italian_Aosta_Valley,0.011155,0.014385,0.01041,0.0 0147,0.012015,-0.000555,0.001025,0.001215,0.005,0.01205,-0.002935,0.00329,-0.009905,-0.007525,0.005525,0.00472,0.00398,-0.000225,0.002685,-0.00043,0.002345,0.001575,-0.000745,0.006755,-5e-05
Italian_Apulia,0.0097267,0.0146,-0.001,-0.0124267,0.0051467,-0.00542,-0.0004067,-7e-04,0.0013667,0.0113533,-0.00014,0.0025867,-0.0043533,0.0008667,-0.0059733,-0.00294,0.00128,0.0004733,0.0021867,-0.00412,-0.0030533,0.0015867,0.0014267,0.0011933,-0.0004733
Italian_Basilicata,0.0096,0.0144444,-0.0013222,-0.0125444,0.0043111,-0.0055,0.0004444,-0.0007222,0.0021222,0.0105556,0,0.0020222,-0.0047778,-0.0005667,-0.0066778,-0.0011889,0.0045111,-0.0002556,0.0026778,-0.0041,-0.0015111,0.0018111,0.0018667,0.0022333,0.0002889
Italian_Bergamo,0.01088,0.01484,0.00814,-0.00364,0.01176,-0.00096,0.00046,0.00074,0.00526,0.01518,-0.00086,0.00454,-0.00864,-0.00456,-0.00256,-0.00314,-0.00028,0.00052,0.0041,-0.00444,-0.00084,-2e-05,-0.0034,0.00314,8e-04
Italian_Calabria,0.0090333,0.0144,-0.0031667,-0.0144333,0.0040667,-0.0042,-0.0010333,-0.0013667,0.0022,0.0118,0.0002667,0.0018667,-0.0037,-7e-04,-0.0071,-0.0039667,0.0052333,0.0007667,0.0041,-0.0024333,-0.0021,-0.0019333,-0.0001333,0.0031333,1e-04
Italian_Campania,0.0094708,0.014575,-0.0023625,-0.0135042,0.0044667,-0.0057917,-0.0001917,-0.0009833,0.00205,0.0121833,0.0004833,0.0015583,-0.0034042,-0.0012417,-0.0048958,-0.0005917,0.0021292,-0.0002042,0.0020583,-0.0032208,-0.003275,0.0014958,0.0008583,0.0016333,0.0002417
Italian_Jew,0.00834,0.01434,-0.00495,-0.01749,0.00367,-0.0088,-0.0017,-0.00121,0.0063,0.0105,0.00278,0.00014,0.00145,-0.00209,-0.00487,-0.00093,-0.00092,-0.00083,-0.00089,-0.00287,-0.00313,-0.00125,-1e-04,0.00196,0.0024
Italian_Lazio,0.010075,0.015025,0.001775,-0.01085,0.006925,-0.00415,0.00105,0.000225,0.00335,0.012875,8e-04,0.0019,-0.00515,-0.00515,-0.00505,0.003125,-0.000175,-4e-04,0.00145,-0.00405,-0.0022,0.002725,-3e-04,-3e-04,-4e-04
Italian_Liguria,0.01,0.0144,0.0072,-0.0037,0.0095,-8e-04,0.001,5e-04,0.0047,0.0139,-0.006,0.0019,-0.0088,8e-04,-8e-04,-0.0094,-0.0051,-3e-04,0.003,6e-04,-2e-04,8e-04,0.0032,6e-04,5e-04
Italian_Lombardy,0.01094,0.01456,0.00742,-0.00426,0.01064,-0.00278,0.00028,0,0.00508,0.01642,-0.00154,0.00596,-0.00966,-0.00342,-0.00064,-0.00594,-0.0064,0.0014,0.00274,-0.00328,-0.0018,0.001,-0.00054,0.00254,7e-04
Italian_Marche,0.0103375,0.0145938,0.0022812,-0.0089938,0.0069438,-0.0037125,0.000275,-0.00135,0.003,0.0116938,-0.0003625,0.002925,-0.00575,-0.0012312,-0.0024188,-0.0017563,-0.0002937,0.0009938,0.0021438,-0.0026562,-0.000775,0.0019875,0.0005188,0.0030938,-0.0013938
Italian_Molise,0.0099,0.01445,0.00035,-0.01035,0.00505,-0.00475,0.0019,-0.0013,0.0011,0.01065,0.0023,0.00225,-0.00545,-0.00195,-0.00525,-0.00235,0.0039,0.00145,0.00185,-0.0064,-0.0011,0.00365,-0.00065,0.00295,1e-04
Italian_Northeast,0.0110357,0.0141357,0.0094429,0. 0005357,0.0115143,0.0007286,0.00135,0.0008857,0.00 33643,0.00875,-0.0014571,0.0031857,-0.0056429,-0.0002714,-0.0033714,0.0002714,0.0030857,7e-04,0.00305,-0.0020786,-0.0028286,0.00035,-0.0014571,0.0037929,3e-04
Italian_Piedmont,0.01066,0.01451,0.00554,-0.00452,0.00951,-0.00211,0.00121,7e-05,0.00365,0.01324,-0.00014,0.00424,-0.00665,-0.00328,-0.00116,-0.00204,0.00086,0.00071,0.00173,-0.00306,-0.00206,0.0015,-0.00195,0.00318,-0.00125
Italian_Trentino-Alto-Adige,0.0109857,0.0143714,0.0091857,-0.0010857,0.0121,-0.0012143,0.0014286,0.0013,0.0055286,0.0131,-0.0018571,0.0033429,-0.0090429,-0.0020571,-0.0003857,-0.0014143,0.0004571,0.0013143,0.0034,-0.0024143,-0.0011429,0.0022714,-0.0004143,0.0005286,-0.0030714
Italian_Tuscany,0.01042,0.0146467,0.0036067,-0.0063467,0.0085,-0.0032467,-2e-04,-6e-04,0.0036667,0.0131133,-0.00014,0.00364,-0.00798,-0.00334,-0.0017533,-0.00022,0.0030933,0.00038,0.00306,-0.0019133,-0.0009667,0.0019933,-0.0008467,0.00322,-0.0013267
Italian_Umbria,0.0102889,0.0145222,0.0020667,-0.0086667,0.0065111,-0.0032889,-0.0003667,-0.0010444,0.0025556,0.0142222,-0.0002333,0.0036,-0.0068333,-0.0038667,-0.0018333,0.0004333,0.0053333,0.0004667,0.0008444,-0.0018667,-0.0027333,0.0006111,0.0002556,0.0025222,-0.0009111
Italian_Veneto,0.0110375,0.0146,0.0080375,-0.0019062,0.0111375,-0.0001625,0.0008688,0.0008688,0.0049062,0.0126438,-0.001375,0.0036625,-0.0070875,-0.002775,-0.0019875,0.0007188,0.0026688,0.0015438,0.0022688,-0.0033812,-8e-04,0.0023125,-0.0001062,0.0010937,-0.0017938

[paradox]

Target: unscaled
Distance: 4.2589% / 0.04258868
63.8 Europe
15.8 Africa
12.8 Asia
4.0 America
3.6 Oceania

Distanceto:unscaled
0.04980608 Europe:Irish
0.08497164 Africa:Yoruba
0.09150208 Asia:Japanese
0.15624580 America:AmerindianNorth
0.16626972 Oceania:AustralianAborigen


My father's

Target: Father_unscaled
Distance: 4.1299% / 0.04129946
71.8 Europe
12.4 Africa
9.4 Asia
3.6 America
2.8 Oceania

Distanceto:Father_unscaled
0.04594261 Europe:Irish
0.08753399 Africa:Yoruba
0.09424295 Asia:Japanese
0.15697869 America:AmerindianNorth
0.16768742 Oceania:AustralianAborigen

[alnortedelsur]

Target: Alnortedelsur
Distance: 3.3695% / 0.03369473
69.2 Europe
10.8 Africa
10.2 America
8.6 Asia
1.2 Oceania

Target: Alnortedelsur
Distance: 3.3877% / 0.03387681 | ADC: 0.25x
73.6 Europe
9.6 Africa
9.0 America
7.8 Asia

Target: Alnortedelsur
Distance: 3.5405% / 0.03540528 | ADC: 0.5x
83.2 Europe
6.2 Africa
5.8 America
4.8 Asia

[Mingle]

Target: Mingle
Distance: 5.7556% / 0.05755609
69.6 Europe
16.0 Africa
7.2 Asia
4.2 America
3.0 Oceania

[Luso]

Target: Luso
Distance: 3.6623% / 0.03662318
79.2 Europe
11.6 Asia
6.6 Africa
2.4 Oceania
0.2 America

[gixajo]

I was looking at everyone's results and something is VERY VERY OFF here because Eurasians (Japanese and Europeans) should be MUCH closer to each other than Eurasians to Yoruba (even with basal eurasian factored in) and not the other way around. Reason is
because ALL Eurasians share substantially the same grandparents from the Out-of-Africa event.

The G25 can't be that bad. Try using SCALED to see if that fixes the problem and Europeans become significantly closer to Japanese than Europeans to Yoruba

Those coordinates don´t work only giving more % to those references which have closer distance,.

With this drawing you can better understand how these calculators work, which use principles based on multivariate statistics.(it´s only to have an aproximate intuitive idea about how it works, don´t take this lyerally)

https://i.imgur.com/Z1FtCBz.png
A,B,C,D,E...= references in sources
A´,B´,C´,...=distances to every reference.
1,2,3,4= possible solutions, it´s suposed that all of them are projected always passing through the closest reference.
The algoritm would chose a solution passing through(or near inside the dispersion cloud) A,B,D and E references and would calculate the % according an specific configuration.
F is closer to you than D, but is out of your admixture and this component would no score any % in your results, because it´s close to you, but not to the most probable projection line that would be the solution.

All this is quite improvised, but I thonk it´s a graphic and intuitive way to explain something complex as this issue.

We can see that it works in this way, watching results and distances in many model, and for example, Spaniards usually score in NA , although NA references have greater distances than many others, including other non European references.(I explain it with this example because I am Spanish, and NA in Spanish is a recurrent topic, nothing else)

[Thambi]

Target: Thambi
Distance: 7.9891% / 0.07989083
48.4 Europe
19.6 Africa
16.8 Asia
8.8 Oceania
6.4 America

Distance to: Thambi
0.08828811 Europe:Irish
0.10654727 Africa:Yoruba
0.11073833 Asia:Japanese
0.16667858 America:AmerindianNorth
0.17131529 Oceania:AustralianAborigen

[gixajo]

Target: Thambi
Distance: 7.9891% / 0.07989083
48.4 Europe
19.6 Africa
16.8 Asia
8.8 Oceania
6.4 America

Distance to: Thambi
0.08828811 Europe:Irish
0.10654727 Africa:Yoruba
0.11073833 Asia:Japanese
0.16667858 America:AmerindianNorth
0.17131529 Oceania:AustralianAborigen

I will make a new similar model but changing references, I will add my India reference made with averages as Asian reference.

[Coastal Elite]

Target: DacoCeltic
Distance: 2.2356% / 0.02235648
83.2 Europe
9.0 Asia
5.4 Africa
1.2 America
1.2 Oceania

Distance to: DacoCeltic
0.02556689 Europe:Irish
0.08695154 Africa:Yoruba
0.09015012 Asia:Japanese
0.15747508 America:AmerindianNorth
0.16750057 Oceania:AustralianAborigen

Mama

Target: Daco_mom
Distance: 1.3598% / 0.01359799
99.0 Europe
0.6 America
0.4 Asia

Distance to: Daco_mom
0.01363948 Europe:Irish
0.09255620 Africa:Yoruba
0.09847169 Asia:Japanese
0.15951827 America:AmerindianNorth
0.17060618 Oceania:AustralianAborigen