Basic Iberian Ancestry Calculator (g25 model)

[Jingle Bell]

hello guys
some time ago i made a celt x iberian calculator but wasnt so good and i use separated samples which can show non sense results
now i will try with averages of multiples samples i hope its work better

Principal Code:
Proto_Celt_(Hallsttat_and_La_Tene),0.1283652537313 4,0.13991571641791,0.05631479104478,0.031210477611 94,0.04308491044776,0.00897026865672,0.00292525373 134,0.00386091044776,0.00914558208955,0.0131455074 6269,-0.0043021641791,0.00465925373134,-0.01198380597015,-0.00760820895522,0.00614185074627,0.00425670149254 ,0.00024517910448,0.0016072238806,0.0026077761194, 0.00228092537313,0.0029183880597,0.00334414925373,-0.00139249253731,-0.0013703880597,-0.00116528358209
IA_Iberia_(Pre-Celts),0.124494125,0.14890175,0.056473875,0.002180 25,0.05985725,-0.0031725,-0.003642625,0.004471125,0.02998825,0.04688025,-0.00470925,0.01110875,-0.0233585,-0.014519125,0.007854875,0.005635125,0.006779875,0. 00161525,0.003802375,-0.00103175,0.00556825,-0.000092625,-0.007364,-0.012396125,-0.001122625
BA_Iberia_(Pre-Celts),0.12471757142857,0.15229314285714,0.0574974 6428571,-0.00011535714286,0.06699046428571,-0.00633471428571,-0.003332,0.00191196428571,0.03973607142857,0.05742 389285714,-0.00306207142857,0.0108065,-0.02408307142857,-0.01776317857143,0.00460478571429,0.00773771428571 ,0.01002092857143,0.00049767857143,-0.00043992857143,0.00094235714286,0.01044578571429 ,0.00204032142857,-0.00923042857143,-0.01934864285714,0.00170207142857
Moors_and_Guanches,-0.04094146666667,0.1373166,-0.01002363333333,-0.07762273333333,0.02320713333333,-0.03623266666667,-0.0273967,0.00571526666667,0.0687618,0.02431773333 333,0.0058694,-0.00828896666667,0.01903433333333,-0.01713493333333,0.01822153333333,-0.01163546666667,0.0022824,-0.01899393333333,-0.04135773333333,0.00916906666667,-0.01173456666667,-0.03575753333333,0.0218142,-0.00234373333333,0.00617733333333
Ancient_Levant,0.08593625,0.15156775,-0.05901925,-0.0983535,-0.01731075,-0.03730175,-0.0055225,-0.0066345,0.01360075,0.00546725,0.010596,-0.01037825,0.02151875,0.00433525,-0.007702,0.00974525,-0.007562,0.002914,0.0070705,-0.00178225,0.0015285,0.00265825,-0.0062855,-0.0011745,-0.0015565

Opcional samples, which can maybe makes ur result looks strange:
Suebi_and_Visigothic?:Balkans:Serb,0.12735547,0.13 650406,0.039932944,0.015468111,0.031749472,0.00517 49722,0.0051896667,0.006519,-0.00060783333,-2.5277778E-05,-0.0021741389,-0.0018441111,0.0041376944,0.012114639,-0.01367,-0.00024308333,0.0059288889,0.00096427778,0.0049616 111,-0.0019800556,-0.00815225,-0.0018445,0.0052278333,0.00092711111,-0.0022119444
Latin_Roman,0.1303275,0.151822,0.0388435,-0.013243,0.044008,-0.006554,0.00235,-0.000923,0.0255655,0.0483835,-0.0026795,0.013713,-0.0295835,-0.0090835,-0.007261,0.003779,0.0097785,-0.00076,0.0049655,-0.001626,-0.0031195,0.0012985,0.0005545,-0.0073505,-0.005269
Germanic_Invasor,0.129394,0.13295308,0.06421604,0. 05481956,0.03960112,0.01885292,0.00650492,0.006904 28,0.00066264,-0.00266788,-0.005716,0.0046878,-0.00966296,-0.00676004,0.02096604,0.00462476,-0.00756744,0.0019764,0.00431904,0.00509248,0.00671 32,0.00599472,-0.00055712,0.01353916,-0.00057952

i dont remember where but i hearded visigoths clusters with serbians, so i used a serbian average to represent the germanic invasoros, idk if its true so i put on opcional

Some Iberians are scoring a kinda high of MENA % (like extremadurans scoring something abt 19% Moors + Levant)
but basques are always scoring less than 1%, so idk what i do for try get a more real number of mena %
116341

For Latin Americans:

West_African_Niger-Congo:Igbo,-0.63058,0.0639785,0.0214955,0.018088,0.001385,0.01 10165,-0.0314915,0.0406135,-0.0452,0.0336225,0.004141,-0.0014235,0.0178395,0.002477,0.0050895,-0.0049725,0.0082795,0.0041805,0.0030795,0.001563,-6.25e-05,0.000371,-0.0025885,0.001145,-0.0024545
Central-West_African_Niger-Congo:Tikar_South,-0.6283035,0.064486,0.01961,0.0172805,0.000154,0.01 3805,-0.0143355,0.0265375,-0.0338485,0.0219595,0.0061705,-0.003447,0.0026755,-0.001445,-0.000611,0.0035135,0.0001955,-0.00019,0.00044,0.0013755,-0.000811,-0.0014835,-0.001171,-0.001265,-0.0002395
East_African_Niger-Congo:Luhya_Kenya,-0.5978967,0.063688,0.0171859,0.007106,-1e-07,0.0058569,-0.0145036,0.0188894,0.0045287,-0.0215819,-0.0050573,0.015993,-0.0328754,0.0011991,-0.0304013,0.0267264,-0.0180303,-0.0024431,-0.009948,0.0047167,0.0016934,0.0001946,0.0034157,0 .0039763,0.0006671
East_African_Nilo-Saharan:Masai,-0.4390726,0.0761646,-0.0113606,-0.0358126,-0.0048085,-0.0186506,-0.0065801,0.0041826,0.0979414,-0.089979,-0.0168479,0.005826,-0.0256252,-0.001187,0.0118755,-0.0181648,0.022915,-0.0056376,0.0184462,-0.0199158,-0.0011699,-0.0001235,-0.0053612,-0.0033435,0.0049845
East_African_Afro-Asiatic:Ethiopian_Amhara,-0.225939,0.1062921,-0.0355122,-0.0828136,0.000718,-0.0389362,-0.0142315,-0.001064,0.1039208,-0.0634689,-0.0014526,-0.0132382,0.0176081,0.0010857,0.0225899,-0.0128095,0.0076927,0.0021256,0.0060754,0.0024317, 0.0041801,0.006691,-0.0030949,0.0037353,-0.0019691
Central_African_Hunter-Gatherers:Mbuti,-0.647426,0.0591038,0.0254932,0.0374034,-0.001108,0.0066378,0.3663348,-0.293434,0.0177118,0.02985,-0.0089316,0.2198242,0.1264506,0.0010182,0.010342,-0.0014052,0.0009386,-0.0518664,0.014229,0.003727,0.0061144,-0.0018548,-0.0043878,0.0025304,-0.0006944
Southern_African_Khoisan:Khomani_San,-0.6220435,0.060424,0.02093,0.030039,-0.0004615,0.000837,0.236773,-0.1823,0.0185095,0.0067425,0.00203,-0.053952,-0.0211845,0.005505,0.018797,-0.0212805,0.029662,0.2623085,-0.0877375,0.001751,-0.0331915,-0.002844,0.0038205,-0.0050005,0.0016765
Southern_African_Niger-Congo:Bantu_S.E.,-0.6293153,0.0637527,0.0201969,0.0178368,-0.0011624,0.0094514,0.0293503,-0.0129994,-0.0214296,0.0114607,0.0024178,-0.007793,-0.0111991,0.0022937,-0.009817,0.0063643,-0.0051864,0.0603178,-0.0249161,0.0034739,-0.0041872,-0.0009891,0.0023414,0.0010041,-0.0004392
Amazonian:Bolivian_LaPaz,0.0569113,-0.3026277,0.1164047,0.09044,-0.1144827,-0.017663,-0.291883,-0.3513703,-0.008999,-0.0103267,-0.004655,-0.0029473,0.001883,0.021469,-0.011853,0.0057457,0.006041,-0.0054053,-0.0009217,0.0004583,-0.0022043,0.0051937,-0.0027527,-0.0008433,-0.002355
Mesoamerica:Mixtec,0.053269,-0.297144,0.113438,0.0916674,-0.100634,-0.0186854,-0.26904,-0.3211248,-0.0127624,-0.0145788,-0.005359,-0.005665,-0.0002082,0.016157,-0.0084688,0.0017236,0.005085,0.001799,0.001986,-0.0010006,-0.002945,0.0065288,-0.0007396,-0.0024822,-0.0013172
Indigenous_North_America:Amerindian_North,0.052927 8,-0.328016,0.1120048,0.0774392,-0.1061738,-0.0184068,-0.1983488,-0.2347978,-0.0037325,-0.020137,0.0082817,-0.0034098,0.0063925,6.87e-05,-0.0151328,-0.004508,-0.0005215,0.0032622,0.0115015,0.0073472,0.0038682,-0.0107578,0.0027115,0.0062055,0.0092805
Indigenous_South_America:Quechua,0.0562288,-0.2695216,0.1110998,0.0874684,-0.0968796,-0.0169564,-0.2738812,-0.327263,-0.0112896,-0.0123918,-0.0040272,-0.0020084,-0.0024382,0.0219372,-0.0036644,0.0082206,0.0077446,-0.0018244,-2.52e-05,0.0004252,-0.0010732,0.0092244,0.0004682,0.0035186,-0.0021556

are kinda basic ssa and native samples but i guess its suficient
and idk how i put all the samples on a "code", like this:
116342
so if u know how pls tell me low

have fun! :thumb001:

[Eurafricanid]

What do you mean by putting all the samples into a code?

[alnortedelsur]

With principal code:

Target: Alnortedelsur_scaled
Distance: 5.4099% / 0.05409891
66.8 Proto_Celt_(Hallsttat_and_La_Tene)
28.8 Moors_and_Guanches
4.4 Ancient_Levant

Distance to: Alnortedelsur_scaled
0.09336785 Proto_Celt_(Hallsttat_and_La_Tene)
0.09667342 IA_Iberia_(Pre-Celts)
0.10802868 BA_Iberia_(Pre-Celts)
0.16160367 Ancient_Levant
0.17459480 Moors_and_Guanches

With optional samples included:

Target: Alnortedelsur_scaled
Distance: 5.3964% / 0.05396389
50.2 Proto_Celt_(Hallsttat_and_La_Tene)
29.2 Moors_and_Guanches
13.6 Germanic_Invasor
5.2 Ancient_Levant
1.8 Latin_Roman

Target: Alnortedelsur_scaled
Distance: 5.4099% / 0.05409891 | ADC: 0.25x RC
66.8 Proto_Celt_(Hallsttat_and_La_Tene)
28.8 Moors_and_Guanches
4.4 Ancient_Levant

Distance to: Alnortedelsur_scaled
0.09336785 Proto_Celt_(Hallsttat_and_La_Tene)
0.09393950 uebi_and_Visigothic?:Balkans:Serb
0.09653406 Latin_Roman
0.09667342 IA_Iberia_(Pre-Celts)
0.10802868 BA_Iberia_(Pre-Celts)
0.11430154 Germanic_Invasor
0.16160367 Ancient_Levant
0.17459480 Moors_and_Guanches

With Amerindian and SSA samples for Latin Americans:

Target: Alnortedelsur_scaled
Distance: 2.8357% / 0.02835672 | R5P
43.0 Proto_Celt_(Hallsttat_and_La_Tene)
27.0 Latin_Roman
20.6 Moors_and_Guanches
6.8 Amazonian
2.6 Central-West_African_Niger-Congo

Target: Alnortedelsur_scaled
Distance: 2.6160% / 0.02616001
21.2 Germanic_Invasor
20.8 Latin_Roman
15.2 IA_Iberia_(Pre-Celts)
14.4 Moors_and_Guanches
10.2 Ancient_Levant
8.0 Proto_Celt_(Hallsttat_and_La_Tene)
5.8 Amazonian
1.8 Central-West_African_Niger-Congo
1.2 Mesoamerica
1.0 West_African_Niger-Congo
0.4 Central_African_Hunter-Gatherers

Target: Alnortedelsur_scaled
Distance: 2.6660% / 0.02665952 | ADC: 0.25x RC
43.2 Proto_Celt_(Hallsttat_and_La_Tene)
23.2 Latin_Roman
15.8 Moors_and_Guanches
7.6 Ancient_Levant
7.2 Mesoamerica
3.0 Central-West_African_Niger-Congo



Distance to: Alnortedelsur_scaled
0.09336785 Proto_Celt_(Hallsttat_and_La_Tene)
0.09393950 uebi_and_Visigothic?:Balkans:Serb
0.09653406 Latin_Roman
0.09667342 IA_Iberia_(Pre-Celts)
0.10802868 BA_Iberia_(Pre-Celts)
0.11430154 Germanic_Invasor
0.16160367 Ancient_Levant
0.17459480 Moors_and_Guanches
0.34579150 East_African_Afro-Asiatic:Ethiopian_Amhara
0.53740963 East_African_Nilo-Saharan:Masai
0.55043046 Indigenous_North_America:Amerindian_North
0.57761041 Indigenous_South_America:Quechua
0.59271928 Mesoamerica:Mixtec
0.62462349 Amazonian:Bolivian_LaPaz
0.67717882 East_African_Niger-Congo:Luhya_Kenya
0.70595627 Central-West_African_Niger-Congo:Tikar_South
0.71005712 Southern_African_Niger-Congo:Bantu_S.E.
0.71075688 West_African_Niger-Congo:Igbo
0.81441314 Southern_African_Khoisan:Khomani_San
0.90199280 Central_African_Hunter-Gatherers:Mbuti

[Jingle Bell]

What do you mean by putting all the samples into a code?

like this:
116343

[Eurafricanid]

These are my results:

Only the first samples:

Target: Jgab602_scaled
Distance: 1.2779% / 0.01277896
35.0 West_African_Niger-Congo
20.0 Proto_Celt_(Hallsttat_and_La_Tene)
19.6 BA_Iberia_(Pre-Celts)
11.0 Central-West_African_Niger-Congo
10.4 Ancient_Levant
2.8 Indigenous_South_America
0.6 Central_African_Hunter-Gatherers
0.4 Amazonian
0.2 East_African_Niger-Congo


All the samples:

Target: Jgab602_scaled
Distance: 1.2781% / 0.01278149
35.0 West_African_Niger-Congo
19.8 BA_Iberia_(Pre-Celts)
19.0 Proto_Celt_(Hallsttat_and_La_Tene)
11.0 Central-West_African_Niger-Congo
10.6 Ancient_Levant
2.8 Indigenous_South_America
0.6 Central_African_Hunter-Gatherers
0.6 Germanic_Invasor
0.4 Amazonian
0.2 East_African_Niger-Congo

Only the first samples + my selfmade Native Brazilian and my selection for SSA:

Target: Jgab602_scaled
Distance: 1.2627% / 0.01262666
46.8 SSA
20.4 Proto_Celt_(Hallsttat_and_La_Tene)
19.4 BA_Iberia_(Pre-Celts)
10.6 Ancient_Levant
2.8 Indigenous_South_American-Brazil



All the eurasian samples + my selfmade Native Brazilian and my selection for SSA:

Target: Jgab602_scaled
Distance: 1.2627% / 0.01262730
46.8 SSA
20.4 BA_Iberia_(Pre-Celts)
17.0 Proto_Celt_(Hallsttat_and_La_Tene)
10.8 Ancient_Levant
2.8 Indigenous_South_American-Brazil
2.2 Germanic_Invasor



All the eurasian samples + my selfmade Etruscan & Italic and Native Brazilian and my selection for SSA:

Target: Jgab602_scaled
Distance: 1.2584% / 0.01258428
47.0 SSA
17.4 BA_Iberia_(Pre-Celts)
15.4 Proto_Celt_(Hallsttat_and_La_Tene)
9.8 Ancient_Levant
5.2 Italic_&_Etruscan
2.8 Indigenous_South_American-Brazil
2.4 Germanic_Invasor


Now with the SSA samples labeled:


Target: Jgab602_scaled
Distance: 1.2584% / 0.01258428
35.8 Volta–Niger
17.4 BA_Iberia_(Pre-Celts)
15.4 Proto_Celt_(Hallsttat_and_La_Tene)
9.8 Ancient_Levant
9.6 Benue–Congo
5.2 Italic_&_Etruscan
2.8 Indigenous_South_American-Brazil
2.4 Germanic_Invasor
1.0 Bantu-East
0.6 African_Hunter-Gatherer


Samples here:



Volta–Niger:1,-0.63058,0.0639785,0.0214955,0.018088,0.001385,0.01 10165,-0.0314915,0.0406135,-0.0452,0.0336225,0.004141,-0.0014235,0.0178395,0.002477,0.0050895,-0.0049725,0.0082795,0.0041805,0.0030795,0.001563,-6.25e-05,0.000371,-0.0025885,0.001145,-0.0024545
Benue–Congo:2,-0.6283035,0.064486,0.01961,0.0172805,0.000154,0.01 3805,-0.0143355,0.0265375,-0.0338485,0.0219595,0.0061705,-0.003447,0.0026755,-0.001445,-0.000611,0.0035135,0.0001955,-0.00019,0.00044,0.0013755,-0.000811,-0.0014835,-0.001171,-0.001265,-0.0002395
Bantu-East:3,-0.5978967,0.063688,0.0171859,0.007106,-1e-07,0.0058569,-0.0145036,0.0188894,0.0045287,-0.0215819,-0.0050573,0.015993,-0.0328754,0.0011991,-0.0304013,0.0267264,-0.0180303,-0.0024431,-0.009948,0.0047167,0.0016934,0.0001946,0.0034157,0 .0039763,0.0006671
Bantu-South:4,-0.4390726,0.0761646,-0.0113606,-0.0358126,-0.0048085,-0.0186506,-0.0065801,0.0041826,0.0979414,-0.089979,-0.0168479,0.005826,-0.0256252,-0.001187,0.0118755,-0.0181648,0.022915,-0.0056376,0.0184462,-0.0199158,-0.0011699,-0.0001235,-0.0053612,-0.0033435,0.0049845
African_Hunter-Gatherer:5,-0.647426,0.0591038,0.0254932,0.0374034,-0.001108,0.0066378,0.3663348,-0.293434,0.0177118,0.02985,-0.0089316,0.2198242,0.1264506,0.0010182,0.010342,-0.0014052,0.0009386,-0.0518664,0.014229,0.003727,0.0061144,-0.0018548,-0.0043878,0.0025304,-0.0006944
African_Hunter-Gatherer:6,-0.6220435,0.060424,0.02093,0.030039,-0.0004615,0.000837,0.236773,-0.1823,0.0185095,0.0067425,0.00203,-0.053952,-0.0211845,0.005505,0.018797,-0.0212805,0.029662,0.2623085,-0.0877375,0.001751,-0.0331915,-0.002844,0.0038205,-0.0050005,0.0016765
Nilotic:7,-0.6293153,0.0637527,0.0201969,0.0178368,-0.0011624,0.0094514,0.0293503,-0.0129994,-0.0214296,0.0114607,0.0024178,-0.007793,-0.0111991,0.0022937,-0.009817,0.0063643,-0.0051864,0.0603178,-0.0249161,0.0034739,-0.0041872,-0.0009891,0.0023414,0.0010041,-0.0004392
Indigenous_South_American-Brazil,0.0550334,-0.31476345,0.1176427,0.10668775,-0.11305185,-0.01593875,-0.3172761,-0.3802458,-0.01413265,-0.01831475,0.0021678,-0.0066916,0.0005129,0.02799945,-0.01415585,0.00023855,0.0090879,-0.0018497,-0.0003772,0.00073795,-0.0027512,0.01209325,-0.0042518,-0.0063682,-0.00773
Italic_&_Etruscan,0.12732464,0.15219586,0.03905681,-0.011322,0.04784683,-0.00686954,-0.00000156,0.00036888,0.02273844,0.04433238,-0.00063574,0.0111562,-0.02155188,-0.00879615,-0.00116343,-0.00227315,0.00180558,0.00119189,0.00463936,-0.0042562,0.00070919,0.00439618,-0.00304386,-0.0057973,-0.00049563

[Defcon2]

like this:
116343

[*CODE][*/CODE] without *

[Jingle Bell]

My results

Principal Code:
Target: JingleBell_scaled
Distance: 1.8932% / 0.01893151
41.0 West_African_Niger-Congo:Igbo
23.0 IA_Iberia_(Pre-Celts)
13.2 Proto_Celt_(Hallsttat_and_La_Tene)
9.6 Ancient_Levant
6.4 Moors_and_Guanches
3.6 Southern_African_Niger-Congo:Bantu_S.E.
3.0 Amazonian:Bolivian_LaPaz
0.2 East_African_Afro-Asiatic:Ethiopian_Amhara

with the adds:
Target: JingleBell_scaled
Distance: 1.8919% / 0.01891851
41.0 West_African_Niger-Congo:Igbo
24.4 IA_Iberia_(Pre-Celts)
10.0 Ancient_Levant
8.0 Proto_Celt_(Hallsttat_and_La_Tene)
6.6 Moors_and_Guanches
3.6 Southern_African_Niger-Congo:Bantu_S.E.
3.4 Germanic_Invasor
3.0 Amazonian:Bolivian_LaPaz

i am only 36% celtiberian, im surprised, i thought i were around 40%

[Jingle Bell]

[*CODE][*/CODE] without *

TY :thumb001:

[gixajo]

hello guys


IA_Iberia_(Pre-Celts),
BA_Iberia_(Pre-Celts),

i dont remember where but i hearded visigoths clusters with serbians, so i used a serbian average to represent the germanic invasoros, idk if its true so i put on opcional

Some Iberians are scoring a kinda high of MENA % (like extremadurans scoring something abt 19% Moors + Levant)
but basques are always scoring less than 1%, so idk what i do for try get a more real number of mena %
116341


are kinda basic ssa and native samples but i guess its suficient
and idk how i put all the samples on a "code", like this:
116342
so if u know how pls tell me low

have fun! :thumb001:

Iberia BA and specially Iberia IA are not pre-celts, Iberia IA should overlap Iberia BA and Iberia BA would do the same with proto-celts,so I wouldn´t use these 3 in the same model.

Anyway, it´s for fun, so here are our results:

Target: gixajo_scaled
Distance: 2.0394% / 0.02039395
53.6 IA_Iberia_(Pre-Celts)
36.0 Proto_Celt_(Hallsttat_and_La_Tene)
6.6 Ancient_Levant
3.8 Moors_and_Guanches

Target: gixajo_dad_scaled
Distance: 2.3298% / 0.02329824
59.2 IA_Iberia_(Pre-Celts)
23.0 Proto_Celt_(Hallsttat_and_La_Tene)
10.0 Ancient_Levant
7.8 Moors_and_Guanches

Target: gixajo_mom_scaled
Distance: 2.6352% / 0.02635163
50.2 IA_Iberia_(Pre-Celts)
44.8 Proto_Celt_(Hallsttat_and_La_Tene)
4.6 Moors_and_Guanches
0.4 Ancient_Levant

As you can see, our 3 coordinates prefer the the most modern Iberian reference.(IA), althought it shows also Hallstat/La Téne, that would overlap again if we use any Germanic/Central European-like reference...

Because in theory that reference is formed by Iberia BA+new things, and Iberia BA in turn would be formed by proto-Celtic+things.

The normal thing would be to model ourselves with an ancient Iberian + Greco-Roman + Germanic / Visigothic + Moorish / Arab base.

Imperial Roman references and Levantine references may interfere with each other, but using Italian BA or early IA references is worse, because they are quite similar to Iberian ones.

Anyway your Latin Roman reference is quite strange to represent Imperial Romans. I bet that the average of Italian references without Italian Jews and Sicilians would be just under 40% Levantine using your model...

[Jingle Bell]

Iberia BA and specially Iberia IA are not pre-celts, Iberia IA should overlap Iberia BA and Iberia BA would do the same with proto-celts,so I wouldn´t use these 3 in the same model.

Anyway, it´s for fun, so here are our results:

Target: gixajo_scaled
Distance: 2.0394% / 0.02039395
53.6 IA_Iberia_(Pre-Celts)
36.0 Proto_Celt_(Hallsttat_and_La_Tene)
6.6 Ancient_Levant
3.8 Moors_and_Guanches

Target: gixajo_dad_scaled
Distance: 2.3298% / 0.02329824
59.2 IA_Iberia_(Pre-Celts)
23.0 Proto_Celt_(Hallsttat_and_La_Tene)
10.0 Ancient_Levant
7.8 Moors_and_Guanches

Target: gixajo_mom_scaled
Distance: 2.6352% / 0.02635163
50.2 IA_Iberia_(Pre-Celts)
44.8 Proto_Celt_(Hallsttat_and_La_Tene)
4.6 Moors_and_Guanches
0.4 Ancient_Levant

As you can see, our 3 coordinates prefer the the most modern Iberian reference.(IA), althought it shows also Hallstat/La Téne, that would overlap again if we use any Germanic/Central European-like reference...

Because in theory that reference is formed by Iberia BA+new things, and Iberia BA in turn would be formed by proto-Celtic+things.

The normal thing would be to model ourselves with an ancient Iberian + Greco-Roman + Germanic / Visigothic + Moorish / Arab base.

Imperial Roman references and Levantine references may interfere with each other, but using Italian BA or early IA references is worse, because they are quite similar to Iberian ones.

Anyway your Latin Roman reference is quite strange to represent Imperial Romans. I bet that the average of Italian references without Italian Jews and Sicilians would be just under 40% Levantine using your model...



With pre-celts i just mean the native iberians who lived in peninsula before the celtic expansion, dont necessarially any particular Non IE tribe
Iberia IA and Iberia BA are very similar, Iberia IA is just a bit more Yamnaya shifted but the distance btw both are less than 3
Iberia IA is basically Iberia BA with some influences
This was the unique Italian sample from roman times which i found, so
If we use ancient Iberian + Greco-Roman + Germanic / Visigothic + Moorish / Arab base today iberians will score a lot of Germanic, which dont makes sense historically bcs the germanic were a small elite who dont intermixed with others iberians

[Jingle Bell]

Iberia BA and specially Iberia IA are not pre-celts, Iberia IA should overlap Iberia BA and Iberia BA would do the same with proto-celts,so I wouldn´t use these 3 in the same model.

Anyway, it´s for fun, so here are our results:

Target: gixajo_scaled
Distance: 2.0394% / 0.02039395
53.6 IA_Iberia_(Pre-Celts)
36.0 Proto_Celt_(Hallsttat_and_La_Tene)
6.6 Ancient_Levant
3.8 Moors_and_Guanches

Target: gixajo_dad_scaled
Distance: 2.3298% / 0.02329824
59.2 IA_Iberia_(Pre-Celts)
23.0 Proto_Celt_(Hallsttat_and_La_Tene)
10.0 Ancient_Levant
7.8 Moors_and_Guanches

Target: gixajo_mom_scaled
Distance: 2.6352% / 0.02635163
50.2 IA_Iberia_(Pre-Celts)
44.8 Proto_Celt_(Hallsttat_and_La_Tene)
4.6 Moors_and_Guanches
0.4 Ancient_Levant

As you can see, our 3 coordinates prefer the the most modern Iberian reference.(IA), althought it shows also Hallstat/La Téne, that would overlap again if we use any Germanic/Central European-like reference...

Because in theory that reference is formed by Iberia BA+new things, and Iberia BA in turn would be formed by proto-Celtic+things.

The normal thing would be to model ourselves with an ancient Iberian + Greco-Roman + Germanic / Visigothic + Moorish / Arab base.

Imperial Roman references and Levantine references may interfere with each other, but using Italian BA or early IA references is worse, because they are quite similar to Iberian ones.

Anyway your Latin Roman reference is quite strange to represent Imperial Romans. I bet that the average of Italian references without Italian Jews and Sicilians would be just under 40% Levantine using your model...

Ok, now i tried like u say, ancient Iberian + Greco-Roman + Germanic / Visigothic + Moorish / Arab base.
i find others 5 "latin" samples and i ill try with the average of these:
HellenisticInfluence:ITA_Rome_Imperial:RMPR66,0.11 1547,0.158423,-0.033187,-0.06783,0.002154,-0.026216,0.00094,-0.002538,-0.013703,0.025331,0.012991,-0.004196,-0.001041,0.00523,-0.022937,-0.014983,-0.005867,0.000507,0.004902,-0.015257,-0.005241,0.00272,-0.003451,0.00253,0.000958
HellenisticInfluence:ITA_Rome_Imperial:RMPR78,0.11 3823,0.157407,-0.031301,-0.079458,0.002154,-0.03012,-0.000705,-0.007846,-0.007772,0.019317,0.002436,0.005095,-0.009366,0.008395,-0.013436,-0.017369,-0.002217,0.000253,0.010936,-0.006503,-0.007237,-0.000989,-0.006286,-0.000482,0.005389
HellenisticInfluence:ITA_Rome_Imperial:RMPR128,0.1 18376,0.150298,-0.033187,-0.052326,-0.006463,-0.022311,0.001175,-0.011538,-0.018612,0.018953,0.005034,0.006294,-0.007433,0.014588,-0.019137,-0.012994,-0.007171,0.004561,0.003897,-0.013256,-0.003244,0.000618,0.005423,-0.000361,-0.008622
HellenisticInfluence:ITA_Rome_Imperial:RMPR43,0.11 1547,0.153345,-0.032809,-0.067184,0.003693,-0.025379,0.00423,-0.006,-0.007976,0.029704,0.003248,0.011839,-0.014717,0.006881,-0.017101,-0.000663,0.017341,0.003167,0.005028,-0.000625,-0.010981,0.010881,-0.003204,0.010001,-0.00012
HellenisticInfluence:ITA_Rome_Imperial:RMPR69,0.12 0652,0.146236,-0.016593,-0.05168,0.004308,-0.019522,-0.0047,-0.007846,-0.021884,0.027882,0.000325,0.01079,-0.014271,-0.003853,-0.020087,0.007558,0.034161,0.003421,0.010559,0.006 003,-0.008111,0.001855,-0.005916,-0.005422,-0.007185
HellenisticInfluence:Migr:UnderITA_Rome_Imperial:R MPR71,0.10927,0.158423,-0.044123,-0.068153,-0.003693,-0.029841,0.001645,-0.00923,-0.013294,0.022051,0.001949,0.002698,-0.014123,0.003853,-0.020087,-0.011005,0.009648,0.002407,0.002137,0.005503,-0.004866,-0.00643,0.002588,0.007591,-0.003473

Now the results are: (Im not using the serbian samples as a suebi/goth, now im using germanic smaples mostly from MA Germany
116359

looks interesting, how u think i can change more? ;)

[celticdragongod]

Distance to: CDG_scaled
0.02088554 Germanic_Invasor
0.04088381 Proto_Celt_(Hallsttat_and_La_Tene)
0.06967834 Suebi_and_Visigothic?:Balkans:Serb
0.09044719 IA_Iberia_(Pre-Celts)
0.10257789 Latin_Roman
0.10774064 BA_Iberia_(Pre-Celts)
0.22213005 Ancient_Levant
0.25966696 Moors_and_Guanches
0.42295703 East_African_Afro-Asiatic:Ethiopian_Amhara
0.59207698 Indigenous_North_America:Amerindian_North
0.60698496 East_African_Nilo-Saharan:Masai
0.62235376 Indigenous_South_America:Quechua
0.63721456 Mesoamerica:Mixtec
0.66982728 Amazonian:Bolivian_LaPaz
0.74294227 East_African_Niger-Congo:Luhya_Kenya
0.77157793 Central-West_African_Niger-Congo:Tikar_South
0.77534672 Southern_African_Niger-Congo:Bantu_S.E.
0.77632544 West_African_Niger-Congo:Igbo
0.87110738 Southern_African_Khoisan:Khomani_San
0.95580437 Central_African_Hunter-Gatherers:Mbuti

Target: CDG_scaled
Distance: 1.9293% / 0.01929320
92.6 Germanic_Invasor
7.4 Latin_Roman

[Nelju]

<tbody>
Target: Nelju_scaled
Distance: 1.9267% / 0.01926707


43.2
Indigenous_South_America:Quechua


21.0
Germanic_Invasor


11.0
BA_Iberia_(Pre-Celts)


9.2
Moors_and_Guanches


7.8
HellenisticInfluence:ITA_Rome_Imperial:RMPR66


4.4
Southern_African_Niger-Congo:Bantu_S.E.


1.8
Amazonian:Bolivian_LaPaz


0.8
IA_Iberia_(Pre-Celts)


0.6
West_African_Niger-Congo:Igbo


0.2
Central_African_Hunter-Gatherers:Mbuti

</tbody>

Overall, it's quite good. Although I believe an Iberian model must include Sephardic Jews. Both Spain and Portugal were home to them for over a millennium.

An Iberian model would be something like this:

Pre-Celts+Celtiberians+Romans+Germanic Invaders+Moors+Sephardic Jews.

The Moors are of particular interest to Hispanic Americans since most of the Spanish invaders came from South Spain in the first two centuries, and more recent migrations are dominated by Canarians (Guanches). As well, a significant number of Sephardic Jews from Spain and Portugal sought refuge in Latin America (mainly as Crypto-Jews, Conversos).

[Pedro Ruben]

Target: Pedro_scaled
Distance: 2.3383% / 0.02338254
35.8 Germanic_Invasor
22.0 Moors_and_Guanches
20.4 IA_Iberia_(Pre-Celts)
9.6 Latin_Roman
7.2 Proto_Celt_(Hallsttat_and_La_Tene)
5.0 Ancient_Levant

Target: Dad_scaled
Distance: 2.4740% / 0.02473984
30.8 IA_Iberia_(Pre-Celts)
26.4 Moors_and_Guanches
18.8 Proto_Celt_(Hallsttat_and_La_Tene)
16.8 Germanic_Invasor
5.8 Suebi_and_Visigothic?:Balkans:Serb
1.4 Latin_Roman

Target: Mom_scaled
Distance: 1.9923% / 0.01992332
33.8 Germanic_Invasor
28.0 IA_Iberia_(Pre-Celts)
20.0 Latin_Roman
18.2 Moors_and_Guanches

[Jingle Bell]

<tbody>
Target: Nelju_scaled
Distance: 1.9267% / 0.01926707


43.2
Indigenous_South_America:Quechua


21.0
Germanic_Invasor


11.0
BA_Iberia_(Pre-Celts)


9.2
Moors_and_Guanches


7.8
HellenisticInfluence:ITA_Rome_Imperial:RMPR66


4.4
Southern_African_Niger-Congo:Bantu_S.E.


1.8
Amazonian:Bolivian_LaPaz


0.8
IA_Iberia_(Pre-Celts)


0.6
West_African_Niger-Congo:Igbo


0.2
Central_African_Hunter-Gatherers:Mbuti

</tbody>

Overall, it's quite good. Although I believe an Iberian model must include Sephardic Jews. Both Spain and Portugal were home to them for over a millennium.

An Iberian model would be something like this:

Pre-Celts+Celtiberians+Romans+Germanic Invasors+Moors+Sephardic Jews.

The Moors are of particular interest to Hispanic Americans since most of the Spanish invaders came from South Spain in the first two centuries, and more recent migrations are dominated by Canarians (Guanches). As well, a significant number of Sephardic Jews from Spain and Portugal sought refuge in Latin America (mainly as Crypto-Jews, Conversos).

Ty for the feedback
i will add some jewish serfadi, bu ti think its will overlap with the Roman sample maybe
Here in Brazil (especially NE) we got a kinda high numbers of jews and moriscos, mostly rich guys who were running from the inquisition

i for example score 45% iberian (With basque or NE/E samples i score 40% - 36%) + 5% - 10% of MENA mostly Levantine or Arab, mostly from the first settlers of NE who were Conversos or jews

[vader]

Principal code:


Target: Luso_scaled
Distance: 2.9256% / 0.02925614
46.0 Proto_Celt_(Hallsttat_and_La_Tene)
31.8 IA_Iberia_(Pre-Celts)
17.6 Moors_and_Guanches
4.6 Ancient_Levant

Target: Luso_dad_scaled
Distance: 1.9601% / 0.01960114
43.0 IA_Iberia_(Pre-Celts)
38.2 Proto_Celt_(Hallsttat_and_La_Tene)
14.8 Moors_and_Guanches
4.0 Ancient_Levant

Target: Luso_mom_scaled
Distance: 2.9071% / 0.02907124
54.0 Proto_Celt_(Hallsttat_and_La_Tene)
23.4 IA_Iberia_(Pre-Celts)
16.8 Moors_and_Guanches
5.8 Ancient_Levant

Optional:


Target: Luso_scaled
Distance: 2.8533% / 0.02853268
29.4 Germanic_Invasor
25.2 Latin_Roman
22.2 IA_Iberia_(Pre-Celts)
18.8 Moors_and_Guanches
2.6 Ancient_Levant
1.8 Proto_Celt_(Hallsttat_and_La_Tene)

Target: Luso_dad_scaled
Distance: 1.7920% / 0.01791995
44.0 IA_Iberia_(Pre-Celts)
25.8 Germanic_Invasor
15.2 Moors_and_Guanches
10.8 Latin_Roman
4.2 Ancient_Levant

Target: Luso_mom_scaled
Distance: 2.7636% / 0.02763576
35.4 Latin_Roman
25.6 Proto_Celt_(Hallsttat_and_La_Tene)
19.2 Germanic_Invasor
18.8 Moors_and_Guanches
1.0 Ancient_Levant

[Jingle Bell]

hello guys
some time ago i made a celt x iberian calculator but wasnt so good and i use separated samples which can show non sense results
now i will try with averages of multiples samples i hope its work better

Principal Code:
Proto_Celt_(Hallsttat_and_La_Tene),0.1283652537313 4,0.13991571641791,0.05631479104478,0.031210477611 94,0.04308491044776,0.00897026865672,0.00292525373 134,0.00386091044776,0.00914558208955,0.0131455074 6269,-0.0043021641791,0.00465925373134,-0.01198380597015,-0.00760820895522,0.00614185074627,0.00425670149254 ,0.00024517910448,0.0016072238806,0.0026077761194, 0.00228092537313,0.0029183880597,0.00334414925373,-0.00139249253731,-0.0013703880597,-0.00116528358209
IA_Iberia_(Pre-Celts),0.124494125,0.14890175,0.056473875,0.002180 25,0.05985725,-0.0031725,-0.003642625,0.004471125,0.02998825,0.04688025,-0.00470925,0.01110875,-0.0233585,-0.014519125,0.007854875,0.005635125,0.006779875,0. 00161525,0.003802375,-0.00103175,0.00556825,-0.000092625,-0.007364,-0.012396125,-0.001122625
BA_Iberia_(Pre-Celts),0.12471757142857,0.15229314285714,0.0574974 6428571,-0.00011535714286,0.06699046428571,-0.00633471428571,-0.003332,0.00191196428571,0.03973607142857,0.05742 389285714,-0.00306207142857,0.0108065,-0.02408307142857,-0.01776317857143,0.00460478571429,0.00773771428571 ,0.01002092857143,0.00049767857143,-0.00043992857143,0.00094235714286,0.01044578571429 ,0.00204032142857,-0.00923042857143,-0.01934864285714,0.00170207142857
Moors_and_Guanches,-0.04094146666667,0.1373166,-0.01002363333333,-0.07762273333333,0.02320713333333,-0.03623266666667,-0.0273967,0.00571526666667,0.0687618,0.02431773333 333,0.0058694,-0.00828896666667,0.01903433333333,-0.01713493333333,0.01822153333333,-0.01163546666667,0.0022824,-0.01899393333333,-0.04135773333333,0.00916906666667,-0.01173456666667,-0.03575753333333,0.0218142,-0.00234373333333,0.00617733333333
Ancient_Levant,0.08593625,0.15156775,-0.05901925,-0.0983535,-0.01731075,-0.03730175,-0.0055225,-0.0066345,0.01360075,0.00546725,0.010596,-0.01037825,0.02151875,0.00433525,-0.007702,0.00974525,-0.007562,0.002914,0.0070705,-0.00178225,0.0015285,0.00265825,-0.0062855,-0.0011745,-0.0015565

Opcional samples, which can maybe makes ur result looks strange:
Suebi_and_Visigothic?:Balkans:Serb,0.12735547,0.13 650406,0.039932944,0.015468111,0.031749472,0.00517 49722,0.0051896667,0.006519,-0.00060783333,-2.5277778E-05,-0.0021741389,-0.0018441111,0.0041376944,0.012114639,-0.01367,-0.00024308333,0.0059288889,0.00096427778,0.0049616 111,-0.0019800556,-0.00815225,-0.0018445,0.0052278333,0.00092711111,-0.0022119444
Latin_Roman,0.1303275,0.151822,0.0388435,-0.013243,0.044008,-0.006554,0.00235,-0.000923,0.0255655,0.0483835,-0.0026795,0.013713,-0.0295835,-0.0090835,-0.007261,0.003779,0.0097785,-0.00076,0.0049655,-0.001626,-0.0031195,0.0012985,0.0005545,-0.0073505,-0.005269
Germanic_Invasor,0.129394,0.13295308,0.06421604,0. 05481956,0.03960112,0.01885292,0.00650492,0.006904 28,0.00066264,-0.00266788,-0.005716,0.0046878,-0.00966296,-0.00676004,0.02096604,0.00462476,-0.00756744,0.0019764,0.00431904,0.00509248,0.00671 32,0.00599472,-0.00055712,0.01353916,-0.00057952

i dont remember where but i hearded visigoths clusters with serbians, so i used a serbian average to represent the germanic invasoros, idk if its true so i put on opcional

Some Iberians are scoring a kinda high of MENA % (like extremadurans scoring something abt 19% Moors + Levant)
but basques are always scoring less than 1%, so idk what i do for try get a more real number of mena %
116341

For Latin Americans:

West_African_Niger-Congo:Igbo,-0.63058,0.0639785,0.0214955,0.018088,0.001385,0.01 10165,-0.0314915,0.0406135,-0.0452,0.0336225,0.004141,-0.0014235,0.0178395,0.002477,0.0050895,-0.0049725,0.0082795,0.0041805,0.0030795,0.001563,-6.25e-05,0.000371,-0.0025885,0.001145,-0.0024545
Central-West_African_Niger-Congo:Tikar_South,-0.6283035,0.064486,0.01961,0.0172805,0.000154,0.01 3805,-0.0143355,0.0265375,-0.0338485,0.0219595,0.0061705,-0.003447,0.0026755,-0.001445,-0.000611,0.0035135,0.0001955,-0.00019,0.00044,0.0013755,-0.000811,-0.0014835,-0.001171,-0.001265,-0.0002395
East_African_Niger-Congo:Luhya_Kenya,-0.5978967,0.063688,0.0171859,0.007106,-1e-07,0.0058569,-0.0145036,0.0188894,0.0045287,-0.0215819,-0.0050573,0.015993,-0.0328754,0.0011991,-0.0304013,0.0267264,-0.0180303,-0.0024431,-0.009948,0.0047167,0.0016934,0.0001946,0.0034157,0 .0039763,0.0006671
East_African_Nilo-Saharan:Masai,-0.4390726,0.0761646,-0.0113606,-0.0358126,-0.0048085,-0.0186506,-0.0065801,0.0041826,0.0979414,-0.089979,-0.0168479,0.005826,-0.0256252,-0.001187,0.0118755,-0.0181648,0.022915,-0.0056376,0.0184462,-0.0199158,-0.0011699,-0.0001235,-0.0053612,-0.0033435,0.0049845
East_African_Afro-Asiatic:Ethiopian_Amhara,-0.225939,0.1062921,-0.0355122,-0.0828136,0.000718,-0.0389362,-0.0142315,-0.001064,0.1039208,-0.0634689,-0.0014526,-0.0132382,0.0176081,0.0010857,0.0225899,-0.0128095,0.0076927,0.0021256,0.0060754,0.0024317, 0.0041801,0.006691,-0.0030949,0.0037353,-0.0019691
Central_African_Hunter-Gatherers:Mbuti,-0.647426,0.0591038,0.0254932,0.0374034,-0.001108,0.0066378,0.3663348,-0.293434,0.0177118,0.02985,-0.0089316,0.2198242,0.1264506,0.0010182,0.010342,-0.0014052,0.0009386,-0.0518664,0.014229,0.003727,0.0061144,-0.0018548,-0.0043878,0.0025304,-0.0006944
Southern_African_Khoisan:Khomani_San,-0.6220435,0.060424,0.02093,0.030039,-0.0004615,0.000837,0.236773,-0.1823,0.0185095,0.0067425,0.00203,-0.053952,-0.0211845,0.005505,0.018797,-0.0212805,0.029662,0.2623085,-0.0877375,0.001751,-0.0331915,-0.002844,0.0038205,-0.0050005,0.0016765
Southern_African_Niger-Congo:Bantu_S.E.,-0.6293153,0.0637527,0.0201969,0.0178368,-0.0011624,0.0094514,0.0293503,-0.0129994,-0.0214296,0.0114607,0.0024178,-0.007793,-0.0111991,0.0022937,-0.009817,0.0063643,-0.0051864,0.0603178,-0.0249161,0.0034739,-0.0041872,-0.0009891,0.0023414,0.0010041,-0.0004392
Amazonian:Bolivian_LaPaz,0.0569113,-0.3026277,0.1164047,0.09044,-0.1144827,-0.017663,-0.291883,-0.3513703,-0.008999,-0.0103267,-0.004655,-0.0029473,0.001883,0.021469,-0.011853,0.0057457,0.006041,-0.0054053,-0.0009217,0.0004583,-0.0022043,0.0051937,-0.0027527,-0.0008433,-0.002355
Mesoamerica:Mixtec,0.053269,-0.297144,0.113438,0.0916674,-0.100634,-0.0186854,-0.26904,-0.3211248,-0.0127624,-0.0145788,-0.005359,-0.005665,-0.0002082,0.016157,-0.0084688,0.0017236,0.005085,0.001799,0.001986,-0.0010006,-0.002945,0.0065288,-0.0007396,-0.0024822,-0.0013172
Indigenous_North_America:Amerindian_North,0.052927 8,-0.328016,0.1120048,0.0774392,-0.1061738,-0.0184068,-0.1983488,-0.2347978,-0.0037325,-0.020137,0.0082817,-0.0034098,0.0063925,6.87e-05,-0.0151328,-0.004508,-0.0005215,0.0032622,0.0115015,0.0073472,0.0038682,-0.0107578,0.0027115,0.0062055,0.0092805
Indigenous_South_America:Quechua,0.0562288,-0.2695216,0.1110998,0.0874684,-0.0968796,-0.0169564,-0.2738812,-0.327263,-0.0112896,-0.0123918,-0.0040272,-0.0020084,-0.0024382,0.0219372,-0.0036644,0.0082206,0.0077446,-0.0018244,-2.52e-05,0.0004252,-0.0010732,0.0092244,0.0004682,0.0035186,-0.0021556

are kinda basic ssa and native samples but i guess its suficient
and idk how i put all the samples on a "code", like this:
116342
so if u know how pls tell me low

have fun! :thumb001:

Just adding this serfadi sample:
Sephardim,0.0907738,0.145094,-0.0233814,-0.0609662,0.0057318,-0.0219276,-0.0054344,-0.002596,0.0116579,0.0199775,0.004202,0.0001688,5. 56e-05,-0.0005678,-0.00436,-0.0065301,-0.0081814,-0.000475,-0.0013355,-0.0065658,-0.0048508,-0.0059044,0.001217,0.0025606,0.0024399
:thumb001:

[Beowulf]

Target: k13:ivanK13
Distance: 1.4244% / 0.01424448
32.8 BA_Iberia_(Pre-Celts)
22.4 Germanic_Invasor
17.6 Latin_Roman
10.2 Suebi_and_Visigothic?
9.8 Ancient_Levant
7.2 Moors_and_Guanches

i think if some iberians here scores high germanic too maybe is because some are recently admixed but i think is a interesting calc:

without optionals:

Target: k13:ivanK13
Distance: 1.5584% / 0.01558426
40.2 Proto_Celt_(Hallsttat_and_La_Tene)
28.2 IA_Iberia_(Pre-Celts)
13.0 BA_Iberia_(Pre-Celts)
12.4 Ancient_Levant
6.2 Moors_and_Guanches

optionals + shepardim:

Target: k13:ivanK13
Distance: 1.3085% / 0.01308505
41.4 BA_Iberia_(Pre-Celts)
21.4 Sephardim
20.6 Germanic_Invasor
10.0 Suebi_and_Visigothic?
4.2 Moors_and_Guanches
2.4 Latin_Roman

btw suebi and visigothic should be germanic no serbian as i know pure visigothic samples and also suebis plots very close to scandinavia or germany.

[Jingle Bell]

Target: k13:ivanK13
Distance: 1.4244% / 0.01424448
32.8 BA_Iberia_(Pre-Celts)
22.4 Germanic_Invasor
17.6 Latin_Roman
10.2 Suebi_and_Visigothic?
9.8 Ancient_Levant
7.2 Moors_and_Guanches

i think if some iberians here scores high germanic too maybe is because some are recently admixed but i think is a interesting calc:

without optionals:

Target: k13:ivanK13
Distance: 1.5584% / 0.01558426
40.2 Proto_Celt_(Hallsttat_and_La_Tene)
28.2 IA_Iberia_(Pre-Celts)
13.0 BA_Iberia_(Pre-Celts)
12.4 Ancient_Levant
6.2 Moors_and_Guanches

Germanic overlap with the proto-celts samples, maybe i was better if i putted all in a Celto-Germanic group, so its makes more sense i think :)

[Beowulf]

Germanic overlap with the proto-celts samples, maybe i was better if i putted all in a Celto-Germanic group, so its makes more sense i think :)

btw wich sample did u used for germanic invasor? :P

[Jingle Bell]

btw wich sample did u used for germanic invasor? :P

If i remember its a average of mostly samples from Medieval Germany, some from italy too i think? nearly all are pretty close to modern scandos and some to Uk and germany

[Beowulf]

If i remember its a average of mostly samples from Medieval Germany, some from italy too i think? nearly all are pretty close to modern scandos and some to Uk and germany

If u want u can try with this visigothic sample: Visigothic:Visigoth_Iberia,0.127482,0.1366904,0.04 66122,0.023256,0.037853,0.0069724,0.004888,0.00438 44,0.00814,0.0118816,-0.0059108,0.0067138,-0.0126062,-0.0061654,0.006243,0.0053832,0.006128,0.0035474,-0.0013322,0.0048272,0.0065884,0.0019538,-0.0026868,0.0025546,-0.0028978

i also have a gothic sample from kowalewko:
Goth:Gothic,0.129601699,0.128628296, 0.070194201,0.063413999,0.0407792,0.022368699,0.00 5429999,0.009020499,0.003015901,-0.0079066,-0.0034514,0.0045016,-0.0092687,-0.008651301,0.0226206,0.0071879,-0.006684,0.0019728,0.0026517,0.0057871,0.0084151,0 .0019783,0.000399701,0.0101653,-0.000605699

and a suebi:
Germanic:Suebi,0.128619646,0.145220706,0 .071652999,0.063308,0.045855271,0.025948272,0.0058 75,0.005305949,-0.001022997,-0.005648918,-0.009739,0.002548504,-0.006690145,-0.008119582,0.013164719,0,-0.001042889,-0.00367458,-0.0086713,0.016127135,0.006862389,0.006925286,-0.000123263,0.016870798,-0.010638263

i think this would make more sense

i also have a frankish sample too:
Germanic:Medieval_Frank,0.135787,0.148264,0.048520 ,0.021662,0.037498,0.010188,0.004199,0.006715,0.00 1776,0.005295,-0.000402,0.002677,-0.005434,-0.004329,0.007088,0.001079,-0.003799,-0.000633,-0.000775,-0.000849,0.001494,0.000877,0.000120,0.001669,-0.000473

[Eurafricanid]

Ok, now i tried like u say, ancient Iberian + Greco-Roman + Germanic / Visigothic + Moorish / Arab base.
i find others 5 "latin" samples and i ill try with the average of these:
HellenisticInfluence:ITA_Rome_Imperial:RMPR66,0.11 1547,0.158423,-0.033187,-0.06783,0.002154,-0.026216,0.00094,-0.002538,-0.013703,0.025331,0.012991,-0.004196,-0.001041,0.00523,-0.022937,-0.014983,-0.005867,0.000507,0.004902,-0.015257,-0.005241,0.00272,-0.003451,0.00253,0.000958
HellenisticInfluence:ITA_Rome_Imperial:RMPR78,0.11 3823,0.157407,-0.031301,-0.079458,0.002154,-0.03012,-0.000705,-0.007846,-0.007772,0.019317,0.002436,0.005095,-0.009366,0.008395,-0.013436,-0.017369,-0.002217,0.000253,0.010936,-0.006503,-0.007237,-0.000989,-0.006286,-0.000482,0.005389
HellenisticInfluence:ITA_Rome_Imperial:RMPR128,0.1 18376,0.150298,-0.033187,-0.052326,-0.006463,-0.022311,0.001175,-0.011538,-0.018612,0.018953,0.005034,0.006294,-0.007433,0.014588,-0.019137,-0.012994,-0.007171,0.004561,0.003897,-0.013256,-0.003244,0.000618,0.005423,-0.000361,-0.008622
HellenisticInfluence:ITA_Rome_Imperial:RMPR43,0.11 1547,0.153345,-0.032809,-0.067184,0.003693,-0.025379,0.00423,-0.006,-0.007976,0.029704,0.003248,0.011839,-0.014717,0.006881,-0.017101,-0.000663,0.017341,0.003167,0.005028,-0.000625,-0.010981,0.010881,-0.003204,0.010001,-0.00012
HellenisticInfluence:ITA_Rome_Imperial:RMPR69,0.12 0652,0.146236,-0.016593,-0.05168,0.004308,-0.019522,-0.0047,-0.007846,-0.021884,0.027882,0.000325,0.01079,-0.014271,-0.003853,-0.020087,0.007558,0.034161,0.003421,0.010559,0.006 003,-0.008111,0.001855,-0.005916,-0.005422,-0.007185
HellenisticInfluence:Migr:UnderITA_Rome_Imperial:R MPR71,0.10927,0.158423,-0.044123,-0.068153,-0.003693,-0.029841,0.001645,-0.00923,-0.013294,0.022051,0.001949,0.002698,-0.014123,0.003853,-0.020087,-0.011005,0.009648,0.002407,0.002137,0.005503,-0.004866,-0.00643,0.002588,0.007591,-0.003473

Now the results are: (Im not using the serbian samples as a suebi/goth, now im using germanic smaples mostly from MA Germany
116359

looks interesting, how u think i can change more? ;)

I don't understand this. Did you change the OP?

[Beowulf]

These are my results:

Only the first samples:

Target: Jgab602_scaled
Distance: 1.2779% / 0.01277896
35.0 West_African_Niger-Congo
20.0 Proto_Celt_(Hallsttat_and_La_Tene)
19.6 BA_Iberia_(Pre-Celts)
11.0 Central-West_African_Niger-Congo
10.4 Ancient_Levant
2.8 Indigenous_South_America
0.6 Central_African_Hunter-Gatherers
0.4 Amazonian
0.2 East_African_Niger-Congo


All the samples:

Target: Jgab602_scaled
Distance: 1.2781% / 0.01278149
35.0 West_African_Niger-Congo
19.8 BA_Iberia_(Pre-Celts)
19.0 Proto_Celt_(Hallsttat_and_La_Tene)
11.0 Central-West_African_Niger-Congo
10.6 Ancient_Levant
2.8 Indigenous_South_America
0.6 Central_African_Hunter-Gatherers
0.6 Germanic_Invasor
0.4 Amazonian
0.2 East_African_Niger-Congo

Only the first samples + my selfmade Native Brazilian and my selection for SSA:

Target: Jgab602_scaled
Distance: 1.2627% / 0.01262666
46.8 SSA
20.4 Proto_Celt_(Hallsttat_and_La_Tene)
19.4 BA_Iberia_(Pre-Celts)
10.6 Ancient_Levant
2.8 Indigenous_South_American-Brazil



All the eurasian samples + my selfmade Native Brazilian and my selection for SSA:

Target: Jgab602_scaled
Distance: 1.2627% / 0.01262730
46.8 SSA
20.4 BA_Iberia_(Pre-Celts)
17.0 Proto_Celt_(Hallsttat_and_La_Tene)
10.8 Ancient_Levant
2.8 Indigenous_South_American-Brazil
2.2 Germanic_Invasor



All the eurasian samples + my selfmade Etruscan & Italic and Native Brazilian and my selection for SSA:

Target: Jgab602_scaled
Distance: 1.2584% / 0.01258428
47.0 SSA
17.4 BA_Iberia_(Pre-Celts)
15.4 Proto_Celt_(Hallsttat_and_La_Tene)
9.8 Ancient_Levant
5.2 Italic_&_Etruscan
2.8 Indigenous_South_American-Brazil
2.4 Germanic_Invasor


Now with the SSA samples labeled:


Target: Jgab602_scaled
Distance: 1.2584% / 0.01258428
35.8 Volta–Niger
17.4 BA_Iberia_(Pre-Celts)
15.4 Proto_Celt_(Hallsttat_and_La_Tene)
9.8 Ancient_Levant
9.6 Benue–Congo
5.2 Italic_&_Etruscan
2.8 Indigenous_South_American-Brazil
2.4 Germanic_Invasor
1.0 Bantu-East
0.6 African_Hunter-Gatherer


Samples here:



Volta–Niger:1,-0.63058,0.0639785,0.0214955,0.018088,0.001385,0.01 10165,-0.0314915,0.0406135,-0.0452,0.0336225,0.004141,-0.0014235,0.0178395,0.002477,0.0050895,-0.0049725,0.0082795,0.0041805,0.0030795,0.001563,-6.25e-05,0.000371,-0.0025885,0.001145,-0.0024545
Benue–Congo:2,-0.6283035,0.064486,0.01961,0.0172805,0.000154,0.01 3805,-0.0143355,0.0265375,-0.0338485,0.0219595,0.0061705,-0.003447,0.0026755,-0.001445,-0.000611,0.0035135,0.0001955,-0.00019,0.00044,0.0013755,-0.000811,-0.0014835,-0.001171,-0.001265,-0.0002395
Bantu-East:3,-0.5978967,0.063688,0.0171859,0.007106,-1e-07,0.0058569,-0.0145036,0.0188894,0.0045287,-0.0215819,-0.0050573,0.015993,-0.0328754,0.0011991,-0.0304013,0.0267264,-0.0180303,-0.0024431,-0.009948,0.0047167,0.0016934,0.0001946,0.0034157,0 .0039763,0.0006671
Bantu-South:4,-0.4390726,0.0761646,-0.0113606,-0.0358126,-0.0048085,-0.0186506,-0.0065801,0.0041826,0.0979414,-0.089979,-0.0168479,0.005826,-0.0256252,-0.001187,0.0118755,-0.0181648,0.022915,-0.0056376,0.0184462,-0.0199158,-0.0011699,-0.0001235,-0.0053612,-0.0033435,0.0049845
African_Hunter-Gatherer:5,-0.647426,0.0591038,0.0254932,0.0374034,-0.001108,0.0066378,0.3663348,-0.293434,0.0177118,0.02985,-0.0089316,0.2198242,0.1264506,0.0010182,0.010342,-0.0014052,0.0009386,-0.0518664,0.014229,0.003727,0.0061144,-0.0018548,-0.0043878,0.0025304,-0.0006944
African_Hunter-Gatherer:6,-0.6220435,0.060424,0.02093,0.030039,-0.0004615,0.000837,0.236773,-0.1823,0.0185095,0.0067425,0.00203,-0.053952,-0.0211845,0.005505,0.018797,-0.0212805,0.029662,0.2623085,-0.0877375,0.001751,-0.0331915,-0.002844,0.0038205,-0.0050005,0.0016765
Nilotic:7,-0.6293153,0.0637527,0.0201969,0.0178368,-0.0011624,0.0094514,0.0293503,-0.0129994,-0.0214296,0.0114607,0.0024178,-0.007793,-0.0111991,0.0022937,-0.009817,0.0063643,-0.0051864,0.0603178,-0.0249161,0.0034739,-0.0041872,-0.0009891,0.0023414,0.0010041,-0.0004392
Indigenous_South_American-Brazil,0.0550334,-0.31476345,0.1176427,0.10668775,-0.11305185,-0.01593875,-0.3172761,-0.3802458,-0.01413265,-0.01831475,0.0021678,-0.0066916,0.0005129,0.02799945,-0.01415585,0.00023855,0.0090879,-0.0018497,-0.0003772,0.00073795,-0.0027512,0.01209325,-0.0042518,-0.0063682,-0.00773
Italic_&_Etruscan,0.12732464,0.15219586,0.03905681,-0.011322,0.04784683,-0.00686954,-0.00000156,0.00036888,0.02273844,0.04433238,-0.00063574,0.0111562,-0.02155188,-0.00879615,-0.00116343,-0.00227315,0.00180558,0.00119189,0.00463936,-0.0042562,0.00070919,0.00439618,-0.00304386,-0.0057973,-0.00049563


with your samples:

Target: k13:ivanK13
Distance: 1.1518% / 0.01151758
50.6 Italic_&_Etruscan
17.2 Germanic:Suebi
11.6 BA_Iberia_(Pre-Celts)
7.6 Moors_and_Guanches
7.4 Ancient_Levant
5.6 Goth:Gothic

the gothic i added myself

[Jingle Bell]

I don't understand this. Did you change the OP?

No, i just was trying the other model which gixajo recommended, thats was apart

[Jingle Bell]

If u want u can try with this visigothic sample: Visigothic:Visigoth_Iberia,0.127482,0.1366904,0.04 66122,0.023256,0.037853,0.0069724,0.004888,0.00438 44,0.00814,0.0118816,-0.0059108,0.0067138,-0.0126062,-0.0061654,0.006243,0.0053832,0.006128,0.0035474,-0.0013322,0.0048272,0.0065884,0.0019538,-0.0026868,0.0025546,-0.0028978

i also have a gothic sample from kowalewko:
Goth:Gothic,0.129601699,0.128628296, 0.070194201,0.063413999,0.0407792,0.022368699,0.00 5429999,0.009020499,0.003015901,-0.0079066,-0.0034514,0.0045016,-0.0092687,-0.008651301,0.0226206,0.0071879,-0.006684,0.0019728,0.0026517,0.0057871,0.0084151,0 .0019783,0.000399701,0.0101653,-0.000605699

and a suebi:
Germanic:Suebi,0.128619646,0.145220706,0 .071652999,0.063308,0.045855271,0.025948272,0.0058 75,0.005305949,-0.001022997,-0.005648918,-0.009739,0.002548504,-0.006690145,-0.008119582,0.013164719,0,-0.001042889,-0.00367458,-0.0086713,0.016127135,0.006862389,0.006925286,-0.000123263,0.016870798,-0.010638263

i think this would make more sense

i also have a frankish sample too:
Germanic:Medieval_Frank,0.135787,0.148264,0.048520 ,0.021662,0.037498,0.010188,0.004199,0.006715,0.00 1776,0.005295,-0.000402,0.002677,-0.005434,-0.004329,0.007088,0.001079,-0.003799,-0.000633,-0.000775,-0.000849,0.001494,0.000877,0.000120,0.001669,-0.000473

Ty for the samples :thumb001:
i will try rn

[Eurafricanid]

No, i just was trying the other model which gixajo recommended, thats was apart

So what model is it then?

[Jingle Bell]

So what model is it then?

Wait, i will send u on pm

[Jingle Bell]

If u want u can try with this visigothic sample: Visigothic:Visigoth_Iberia,0.127482,0.1366904,0.04 66122,0.023256,0.037853,0.0069724,0.004888,0.00438 44,0.00814,0.0118816,-0.0059108,0.0067138,-0.0126062,-0.0061654,0.006243,0.0053832,0.006128,0.0035474,-0.0013322,0.0048272,0.0065884,0.0019538,-0.0026868,0.0025546,-0.0028978

i also have a gothic sample from kowalewko:
Goth:Gothic,0.129601699,0.128628296, 0.070194201,0.063413999,0.0407792,0.022368699,0.00 5429999,0.009020499,0.003015901,-0.0079066,-0.0034514,0.0045016,-0.0092687,-0.008651301,0.0226206,0.0071879,-0.006684,0.0019728,0.0026517,0.0057871,0.0084151,0 .0019783,0.000399701,0.0101653,-0.000605699

and a suebi:
Germanic:Suebi,0.128619646,0.145220706,0 .071652999,0.063308,0.045855271,0.025948272,0.0058 75,0.005305949,-0.001022997,-0.005648918,-0.009739,0.002548504,-0.006690145,-0.008119582,0.013164719,0,-0.001042889,-0.00367458,-0.0086713,0.016127135,0.006862389,0.006925286,-0.000123263,0.016870798,-0.010638263

i think this would make more sense

i also have a frankish sample too:
Germanic:Medieval_Frank,0.135787,0.148264,0.048520 ,0.021662,0.037498,0.010188,0.004199,0.006715,0.00 1776,0.005295,-0.000402,0.002677,-0.005434,-0.004329,0.007088,0.001079,-0.003799,-0.000633,-0.000775,-0.000849,0.001494,0.000877,0.000120,0.001669,-0.000473

Ok, now looks like that:
Target: JingleBell_scaled
Distance: 1.8697% / 0.01869685
41.0 West_African_Niger-Congo
21.6 IA_Iberia_(Pre-Celts)
10.8 Ancient_Levant
8.0 Goth
6.4 Moors_and_Guanches
4.2 BA_Iberia_(Pre-Celts)
3.6 Southern_African_Niger-Congo
3.0 Amazonian
1.4 Germanic

interesting

[Beowulf]

Ok, now looks like that:
Target: JingleBell_scaled
Distance: 1.8697% / 0.01869685
41.0 West_African_Niger-Congo
21.6 IA_Iberia_(Pre-Celts)
10.8 Ancient_Levant
8.0 Goth
6.4 Moors_and_Guanches
4.2 BA_Iberia_(Pre-Celts)
3.6 Southern_African_Niger-Congo
3.0 Amazonian
1.4 Germanic

interesting

for u works well for me i still have a lot of germanic now mostly Frankish

without the frankish sample is something like this:

Target: k13:ivanK13
Distance: 1.3120% / 0.01312019
28.6 BA_Iberia_(Pre-Celts)
19.6 IA_Iberia_(Pre-Celts)
18.6 Germanic
15.4 HellenisticInfluence
6.6 Goth
6.6 Moors_and_Guanches
4.6 Ancient_Levant

[Gallop]

Target: Gallop_scaled
Distance: 2.1571% / 0.02157083
40.0 IA_Iberia_(Pre-Celts)
25.0 Germanic_Invasor
14.0 Latin_Roman
11.0 Moors_and_Guanches
7.0 Italic_&_Etruscan
2.4 Ancient_Levant
0.6 East_African_Afro-Asiatic:Ethiopian_Amhara


Target: Father_scaled
Distance: 2.0713% / 0.02071331
34.8 Proto_Celt_(Hallsttat_and_La_Tene)
34.6 IA_Iberia_(Pre-Celts)
13.6 Latin_Roman
11.4 Moors_and_Guanches
4.2 Suebi_and_Visigothic?:Balkans:Serb
1.0 African_Hunter-Gatherer:6
0.4 Ancient_Levant

--------------------------------------------------------


Target: Gallop_scaled
Distance: 1.9062% / 0.01906154
44.2 Father_scaled
18.4 Italic_&_Etruscan
14.2 Germanic_Invasor
9.0 IA_Iberia_(Pre-Celts)
8.0 BA_Iberia_(Pre-Celts)
3.8 Moors_and_Guanches
1.2 Ancient_Levant
1.2 East_African_Afro-Asiatic:Ethiopian_Amhara


Target: Father_scaled
Distance: 1.7671% / 0.01767068
48.8 Gallop_scaled
29.8 IA_Iberia_(Pre-Celts)
16.2 Suebi_and_Visigothic?:Balkans:Serb
4.0 Moors_and_Guanches
1.2 Southern_African_Khoisan:Khomani_San

[Nelju]

<tbody>
Target: Nelju_scaled
Distance: 1.9825% / 0.01982521



40.8
South_Amerindian


21.8
Germanic:Medieval_Frank


11.4
BA_Iberia_(Pre-Celts)


8.2
North_African


6.8
Sephardim


5.2
West_African_Coast


4.0
Germanic:Suebi


1.6
Gothic


0.2
HellenisticInfluence:ITA_Rome_Imperial:RMPR128


</tbody>

I am using this model.

Proto_Celt_(Hallsttat_and_La_Tene),0.1283652537313 4,0.13991571641791,0.05631479104478,0.031210477611 94,0.04308491044776,0.00897026865672,0.00292525373 134,0.00386091044776,0.00914558208955,0.0131455074 6269,-0.0043021641791,0.00465925373134,-0.01198380597015,-0.00760820895522,0.00614185074627,0.00425670149254 ,0.00024517910448,0.0016072238806,0.0026077761194, 0.00228092537313,0.0029183880597,0.00334414925373,-0.00139249253731,-0.0013703880597,-0.00116528358209IA_Iberia_(Pre-Celts),0.124494125,0.14890175,0.056473875,0.002180 25,0.05985725,-0.0031725,-0.003642625,0.004471125,0.02998825,0.04688025,-0.00470925,0.01110875,-0.0233585,-0.014519125,0.007854875,0.005635125,0.006779875,0. 00161525,0.003802375,-0.00103175,0.00556825,-0.000092625,-0.007364,-0.012396125,-0.001122625
BA_Iberia_(Pre-Celts),0.12471757142857,0.15229314285714,0.0574974 6428571,-0.00011535714286,0.06699046428571,-0.00633471428571,-0.003332,0.00191196428571,0.03973607142857,0.05742 389285714,-0.00306207142857,0.0108065,-0.02408307142857,-0.01776317857143,0.00460478571429,0.00773771428571 ,0.01002092857143,0.00049767857143,-0.00043992857143,0.00094235714286,0.01044578571429 ,0.00204032142857,-0.00923042857143,-0.01934864285714,0.00170207142857
Sephardim,0.0907738,0.145094,-0.0233814,-0.0609662,0.0057318,-0.0219276,-0.0054344,-0.002596,0.0116579,0.0199775,0.004202,0.0001688,5. 56e-05,-0.0005678,-0.00436,-0.0065301,-0.0081814,-0.000475,-0.0013355,-0.0065658,-0.0048508,-0.0059044,0.001217,0.0025606,0.0024399
North_African,-0.0907031,0.1297524,-0.0094159,-0.0710506,0.020511,-0.0310549,-0.0269192,0.0087218,0.0574834,0.023905,0.0070491,-0.0082482,0.0251927,-0.0124631,0.0151145,-0.0095916,-0.0029261,-0.0168103,-0.0351815,0.0091952,-0.0108455,-0.0295193,0.0195563,-0.0020345,0.003317
South_Amerindian,0.0549198,-0.31288468,0.11979234,0.09876286,-0.11408806,-0.01555274,-0.30671634,-0.3649233,-0.01195448,-0.01632224,-0.00138838,-0.00130888,-0.00052254,0.02540064,-0.00698954,0.0050759,0.008351,-0.00065042,0.00091338,0.00104634,-0.00319842,0.0072274,-0.0015735,-0.00067694,-0.00455432
West_African_Coast,-0.627886,0.062487,0.022834,0.017383,0.001051,0.013 051,-0.028423,0.034411,-0.039863,0.022158,0.003318,-0.000957,0.007532,0.000811,0.001616,-0.001004,-0.000413,-0.001582,0.001699,-0.000224,-0.000569,0.002361,-0.000104,-0.000209,-0.000833
HellenisticInfluence:ITA_Rome_Imperial:RMPR66,0.11 1547,0.158423,-0.033187,-0.06783,0.002154,-0.026216,0.00094,-0.002538,-0.013703,0.025331,0.012991,-0.004196,-0.001041,0.00523,-0.022937,-0.014983,-0.005867,0.000507,0.004902,-0.015257,-0.005241,0.00272,-0.003451,0.00253,0.000958
HellenisticInfluence:ITA_Rome_Imperial:RMPR78,0.11 3823,0.157407,-0.031301,-0.079458,0.002154,-0.03012,-0.000705,-0.007846,-0.007772,0.019317,0.002436,0.005095,-0.009366,0.008395,-0.013436,-0.017369,-0.002217,0.000253,0.010936,-0.006503,-0.007237,-0.000989,-0.006286,-0.000482,0.005389
HellenisticInfluence:ITA_Rome_Imperial:RMPR128,0.1 18376,0.150298,-0.033187,-0.052326,-0.006463,-0.022311,0.001175,-0.011538,-0.018612,0.018953,0.005034,0.006294,-0.007433,0.014588,-0.019137,-0.012994,-0.007171,0.004561,0.003897,-0.013256,-0.003244,0.000618,0.005423,-0.000361,-0.008622
HellenisticInfluence:ITA_Rome_Imperial:RMPR43,0.11 1547,0.153345,-0.032809,-0.067184,0.003693,-0.025379,0.00423,-0.006,-0.007976,0.029704,0.003248,0.011839,-0.014717,0.006881,-0.017101,-0.000663,0.017341,0.003167,0.005028,-0.000625,-0.010981,0.010881,-0.003204,0.010001,-0.00012
HellenisticInfluence:ITA_Rome_Imperial:RMPR69,0.12 0652,0.146236,-0.016593,-0.05168,0.004308,-0.019522,-0.0047,-0.007846,-0.021884,0.027882,0.000325,0.01079,-0.014271,-0.003853,-0.020087,0.007558,0.034161,0.003421,0.010559,0.006 003,-0.008111,0.001855,-0.005916,-0.005422,-0.007185
HellenisticInfluence:Migr:UnderITA_Rome_Imperial:R MPR71,0.10927,0.158423,-0.044123,-0.068153,-0.003693,-0.029841,0.001645,-0.00923,-0.013294,0.022051,0.001949,0.002698,-0.014123,0.003853,-0.020087,-0.011005,0.009648,0.002407,0.002137,0.005503,-0.004866,-0.00643,0.002588,0.007591,-0.003473
Germanic:Medieval_Frank,0.135787,0.148264,0.048520 ,0.021662,0.037498,0.010188,0.004199,0.006715,0.00 1776,0.005295,-0.000402,0.002677,-0.005434,-0.004329,0.007088,0.001079,-0.003799,-0.000633,-0.000775,-0.000849,0.001494,0.000877,0.000120,0.001669,-0.000473
Gothic,0.129601699,0.128628296, 0.070194201,0.063413999,0.0407792,0.022368699,0.00 5429999,0.009020499,0.003015901,-0.0079066,-0.0034514,0.0045016,-0.0092687,-0.008651301,0.0226206,0.0071879,-0.006684,0.0019728,0.0026517,0.0057871,0.0084151,0 .0019783,0.000399701,0.0101653,-0.000605699
Visigothic:Visigoth_Iberia,0.127482,0.1366904,0.04 66122,0.023256,0.037853,0.0069724,0.004888,0.00438 44,0.00814,0.0118816,-0.0059108,0.0067138,-0.0126062,-0.0061654,0.006243,0.0053832,0.006128,0.0035474,-0.0013322,0.0048272,0.0065884,0.0019538,-0.0026868,0.0025546,-0.0028978
Germanic:Suebi,0.128619646,0.145220706,0 .071652999,0.063308,0.045855271,0.025948272,0.0058 75,0.005305949,-0.001022997,-0.005648918,-0.009739,0.002548504,-0.006690145,-0.008119582,0.013164719,0,-0.001042889,-0.00367458,-0.0086713,0.016127135,0.006862389,0.006925286,-0.000123263,0.016870798,-0.010638263

[Eurafricanid]

With your samples I got this:

Target: Jgab602_scaled
Distance: 1.2105% / 0.01210531
47.0 SSA
23.6 BA_Iberia_(Pre-Celts)
10.8 Ancient_Levant
10.6 Germanic
5.2 Proto_Celt_(Hallsttat_and_La_Tene)
2.8 Indigenous_South_American-Brazil


6.8% Suevi + 3.6% Frank
Too much Germanic in my opinion. Part of it is definitely true, but part of it is probably stealing some DNA from the Celts.

[Eurafricanid]

Here're the results without the Franks:

Target: Jgab602_scaled
Distance: 1.2121% / 0.01212098
47.0 SSA
23.0 BA_Iberia_(Pre-Celts)
11.2 Ancient_Levant
9.4 Proto_Celt_(Hallsttat_and_La_Tene)
6.6 Germanic
2.8 Indigenous_South_American-Brazil

Much more believable in my opinion :thumb001: and the distance didn't change much

[axel.aleman]

Target: Axel_scaled
Distance: 3.3295% / 0.03329499
24.6 West_African_Niger-Congo
21.4 Indigenous_South_America
21.4 Proto_Celt_(Hallsttat_and_La_Tene)
11.6 CHN_Yellow_River_LN
11.2 BA_Iberia_(Pre-Celts)
8.8 Ancient_Levant
1.0 Southern_African_Khoisan

Agregue la CHN_Yellow_River_LN para mi caso

[PT Tagus]

Target: Endovelicus_scaled
Distance: 2.1271% / 0.02127085
47.2 IA_Iberia_(Pre-Celts)
25.4 Germanic_Invasor
16.2 Ancient_Levant
8.8 Moors_and_Guanches
1.8 West_African_Niger-Congo
0.6 Central_African_Hunter-Gatherers


Distanceto: Endovelicus_scaled
0.06399792 IA_Iberia_(Pre-Celts)
0.06479866 Latin_Roman
0.07021760 Proto_Celt_(Hallsttat_and_La_Tene)
0.07585184 BA_Iberia_(Pre-Celts)
0.07658109 Suebi_and_Visigothic?:Balkans:Serb
0.09837027 Germanic_Invasor
0.15422328 Ancient_Levant
0.18224910 Moors_and_Guanches
0.36055836 East_African_Afro-Asiatic:Ethiopian_Amhara
0.55657706 East_African_Nilo-Saharan:Masai
0.60081155 Indigenous_North_America:Amerindian_North
0.62748320 Indigenous_South_America:Quechua
0.64311468 Mesoamerica:Mixtec
0.67470025 Amazonian:Bolivian_LaPaz
0.69620217 East_African_Niger-Congo:Luhya_Kenya
0.72470049 Central-West_African_Niger-Congo:Tikar_South
0.72880108 Southern_African_Niger-Congo:Bantu_S.E.
0.72925524 West_African_Niger-Congo:Igbo
0.83095945 Southern_African_Khoisan:Khomani_San
0.91697762 Central_African_Hunter-Gatherers:Mbuti

[Kriptc06]

Target: Kriptc_23nme
Distance: 1.7139% / 0.01713945
46.2 Proto_Celt_(Hallsttat_and_La_Tene)
15.4 IA_Iberia_(Pre-Celts)
14.6 Ancient_Levant
9.6 Mesoamerica
8.6 West_African_Niger-Congo
3.0 Amazonian
1.4 Moors_and_Guanches
1.2 Southern_African_Khoisan


I'm a 1/4 southeastern european, it may interfere with the "iberian", rock on kid


See my aunt, fully southeastern:

Target: Kriptc_aunt
Distance: 3.4859% / 0.03485878
74.6 Proto_Celt_(Hallsttat_and_La_Tene)
25.4 Ancient_Levant

[Eurafricanid]

Wait, i will send u on pm

?

[Jingle Bell]

?

I am in smartphone, when i come back with pc , which is where the coords are i will send u :thumb001:

[Solitude]

Guys this fit is good to this calc?

Target: eins25byrin
Distance: 0.5662% / 0.00566161
35.6 Celtiberian
13.6 West_African_Coast
10.4 Germanic_Invasor
7.6 Indigenous_South_American-Brazil
5.6 North_African
4.4 BA_Iberia_(Pre-Celts)
4.0 Bantu-South
4.0 Benue–Congo
3.6 HellenisticInfluence
3.6 Volta–Niger
2.6 IA_Iberia_(Pre-Celts)
2.4 Italic_&_Etruscan
1.0 Nilotic
0.8 African_Hunter-Gatherer
0.8 Amerindian_BRA_LapaDoSanto_9600BP