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| Received: 100/2 Given: 40/0 |
Google gemini is crap at interpreting G25 it changes its mind too easily etc....i tried Chagpt instead
:Celtic:3DT16,0.126344,0.14319,0.065619,0.057171,0 .038469,0.021196,0.00141,-0.001154,0.008385,0.009659,0.003248,0.002997,-0.012785,-0.009358,0.014115,0.001061,-0.007953,0.003041,0.002011,-0.006753,0.005865,0.005935,-0.001479,0.007953,-0.000479
Celtic:6DT18,0.125205,0.142174,0.058454,0.050388,0 .046162,0.021196,0.0047,0.008538,-0.000818,0.005103,0.000487,0.012589,-0.017393,-0.020368,0.023887,0.006762,-0.005346,-0.003041,0.012444,0.001,0.007986,0.000866,-0.00419,0.013857,-0.003353
Celtic:6DT21,0.126344,0.12491,0.061471,0.047804,0. 027697,0.013945,0.005405,0.009923,-0.00225,-0.000911,-0.019487,0.012589,-0.011447,-0.007707,0.019951,0.006099,-0.008345,-0.003927,0.002765,0.003752,0.002246,0.001237,0.003 697,0.002289,-0.001317
Celtic:6DT22,0.125205,0.140143,0.061094,0.045866,0 .038776,0.014223,0.004935,0.005077,0.003068,0.0007 29,-0.004872,0.001349,-0.01115,-0.016928,0.016015,0.000796,0.000652,0.003927,0.006 159,0,0.003993,0.005441,-0.011462,-0.00012,-0.000359
Celtic:6DT3,0.132035,0.13405,0.058077,0.050711,0.0 33237,0.029005,0.008225,0.003461,0.001023,-0.004556,-0.005034,0.005245,-0.017096,-0.005918,0.028908,-0.011403,-0.023469,0.001774,0.003142,0.006378,0.010731,0.000 124,-0.002588,0.011086,0.002874
Celtic:England_IA:I0160,0.129758,0.136081,0.059585 ,0.050388,0.03416,0.023427,0.002585,0.00923,0.0020 45,0.003827,-0.007632,0.009741,-0.016204,-0.018992,0.019951,-0.006099,-0.015776,0.008995,0.007542,0.003126,0.004243,0.001 607,0.006409,0.012411,-0.000479
Anglo-Saxon: DEU_MA:ALH_1,0.118376,0.129988,0.06939,0.051034,0. 048009,0.023148,0.014101,-0.000692,0.006136,-0.001822,-0.002436,0.003447,-0.008474,-0.012248,0.012486,0.008088,-0.005215,0.004307,0.00817,0.009755,0.009858,0.0046 99,0.001725,0.002771,-0.002395
Anglo-Saxon: DEU_MA:STR_486,0.120652,0.137096,0.04714,0.055233, 0.042162,0.020638,0.008695,0.011999,0.010431,-0.005467,-0.002923,-0.006894,-0.017245,0.005367,0.007193,-0.002121,-0.028293,-0.002534,0.010559,0.008379,0.007237,0.001484,-0.01972,0.011568,-0.001078
Anglo-Saxon: DEU_MA_ACD:BIM_33,0.125205,0.141159,0.062225,0.037 791,0.028005,0.021475,0.022091,-0.006,0.008181,0.007289,-0.006983,0.014387,0.001784,0.013762,0.000136,-0.003713,-0.014603,0.001014,0.016089,0.005127,0.012104,-0.003833,0.018241,-0.012411,-0.005748
Anglo-Saxon: DEU_MA_ACD:STR_220,0.121791,0.132019,0.051288,0.04 199,0.037238,0.015618,0.013396,0.009461,-0.001636,-0.002916,-0.014128,-0.001499,-0.00996,0.002477,0.014386,-0.003845,-0.004563,-0.000127,0.001508,0.012006,0.003369,0.003957,0.002 588,0.011568,-0.003952
Celtic:Continental_celt:CZE_Hallstatt_Bylany: DA111,0.124067,0.151314,0.063356,0.026163,0.0437,0 .005857,0.001175,0.002308,0.020861,0.02442,-0.012342,0.00015,-0.01665,-0.003165,0.014658,-0.009546,-0.018254,0.003801,0.005908,0.001626,0.009858,0.006 059,-0.004437,-0.005904,-0.005269
Celtic:ITA_Rome_Imperial:RMPR43,0.112685,0.15436,-0.033941,-0.067507,0.001539,-0.025658,0.002115,-0.006692,-0.007976,0.029158,0.005034,0.009142,-0.014123,0.004542,-0.020494,0.000663,0.017341,0.003294,0.003394,-0.002501,-0.010731,0.010881,-0.000493,0.008917,-0.001916
Celtic:ITA_Rome_Imperial:RMPR44,0.118376,0.165531,-0.026398,-0.072998,0.00677,-0.019522,0.00188,-0.006231,-0.003886,0.032438,0.005521,0.005545,-0.013379,0.000413,-0.013436,-0.00305,0.015255,-0.001647,0.000126,-0.004627,0,0.000247,0.001479,0.007471,0.000599
Anglo-Saxon: DNK_BA,0.1160995,0.1370965,0.0633565,0.0524875,0.0 296975,0.0301205,0.011163,-0.005192,-0.0072605,-0.003827,-0.002923,0.0089175,-0.004683,-0.0161015,0.0138435,0.0041765,0.00678,0.009565,0.0 152095,0.0046275,0.017906,-0.0087795,0.000801,0.002651,-0.0113765
Celtic: DEU_Roman,0.117238,0.151314,0.045254,0.000323,0.05 2317,0.001952,0.0047,-0.006,0.01943,0.028064,-0.002436,0.004946,-0.017393,-0.013212,-0.004614,0.00411,0.009388,0.006334,-0.000377,5e-04,0.000624,0.001484,-0.000616,-0.00735,-0.001796
Celtic:ITA_Rome_Imperial,0.1027016,0.1489866,-0.0237507,-0.0575546,0.0043725,-0.0203241,-0.0013366,-0.0049469,0.0004219,0.019336,0.0032343,0.0023073,-0.0039209,-0.0015167,-0.008033,-0.0017982,0.003773,0.0005358,0.0013329,-0.0030926,-0.0024437,0.0018729,-0.0008961,-0.0004869,0.0005663
Celtic:ITA_Prenestini_tribe_IA,0.125205,0.147252,0 .045254,0.005814,0.044931,0.005578,-0.00094,0.003461,0.023725,0.039363,-0.004547,0.008992,-0.021407,-0.014726,0.012893,-0.001989,-0.001043,0.006208,0.003017,-0.003252,0.004742,0.002844,-0.006286,-0.000241,-0.002036
Celtic:ITA_Boville_Ernica_Latini_IA,0.126344,0.153 345,0.035072,-0.014858,0.052317,-0.013387,-0.00094,0.003461,0.020452,0.04155,0.004222,0.01004 1,-0.013528,-0.008808,0.007465,-0.015646,-0.011995,-0.003041,0.004902,-0.012631,0.007861,0.006306,-0.007641,-0.001325,0.008023
Celtic:ITA_Rome_Latini_IA,0.127482,0.148267,0.0346 95,-0.017442,0.043085,-0.005578,-0.002115,-0.003231,0.024952,0.051391,-0.001461,0.013488,-0.034043,-0.010184,-0.008415,0.011535,0.018515,-0.003674,0.005405,0.004377,0.003244,-0.001731,0.002588,-0.006266,-0.007544
Celtic:ITA_Ardea_Latini_IA,0.133173,0.156392,0.044 123,-0.010336,0.046778,-0.004741,0.008225,0.004154,0.023725,0.044283,-0.004222,0.01109,-0.02215,-0.011147,-0.006243,-0.006099,0.002738,-0.000127,0.004902,-0.004252,-0.009109,0.004328,-0.003081,-0.009519,-0.002874
Celtic:CZE_Hallstatt_Bylany,0.12862,0.1376045,0.07 05215,0.034238,0.0481625,0.004044,0.0019975,0.0013 85,0.018509,0.019955,-0.012017,-0.0052455,-0.00944,0.0006195,0.0095685,-0.0013255,-0.005998,0.001774,0.0048395,0.0080665,0.001061,0.0 019785,-0.0006165,-0.005422,-0.0034725
Celtic: DEU_Lech_EBA:AITI_78,0.132035,0.135065,0.046386,0. 034238,0.036314,0.003626,0.002585,0.005769,0.00531 8,0.010023,0.001299,0.011839,-0.016947,-0.015001,0.017236,0.015115,0.021513,0.005828,0.003 268,0.003252,0.006239,-0.002102,0.001109,-0.002651,-0.001676
Celtic: DEU_Lech_EBA:AITI_119,0.121791,0.140143,0.05242,0. 026486,0.040623,0.003068,0.001175,0.001154,0.00347 7,0.017859,-0.001299,0.01124,-0.020961,-0.019818,0.01045,0.02201,0.01708,-0.0019,0.009679,0.002376,0.007986,0.003957,-0.005053,0.000964,0.008382
Celtic: DEU_Lech_EBA:AITI_2,0.124067,0.140143,0.056191,0.0 41021,0.042162,0.016455,-0.003055,0.002077,0.014112,0.018406,0.002273,0.006 744,-0.020218,-0.000413,0.011672,0.001591,-0.008996,-0.006334,0.013073,0.012631,0.006988,0.00371,0.0014 79,-0.005422,-0.00467
Celtic:ITA_Rome_Imperial:RMPR116,0.126344,0.140143 ,0.052797,0.019703,0.044624,0.001673,0.00282,0.008 307,0.018816,0.019681,-0.000487,0.005845,-0.013528,-0.010459,0.009365,0.003447,-0.000391,0,0.000628,-0.004752,0.002246,0.002597,-0.006286,-0.000964,0.00455
Celtic: DEU_Lech_MBA:OTTM_151ind2_d,0.127482,0.156392,0.04 7894,0.005491,0.04647,-0.011435,0.00329,0.011538,0.010022,0.031345,0.0064 96,0.012889,-0.012487,-0.01156,-0.0095,0.000796,0.001565,-0.003801,-0.005656,0.005753,-0.002995,0.009521,-0.001356,-0.006386,-0.011855
Anglo-Saxon: DEU_MA,0.1223596,0.1303939,0.061169,0.048773,0.039 792,0.0199408,0.010975,0.0052151,0.0013295,-0.0024966,-0.003735,0.001109,-0.0091576,-0.0038398,0.0161643,-0.0008352,-0.0133511,0.0032684,0.0041354,0.0040271,0.0060019, 0.0037342,-0.0007273,0.011146,-0.0004429
Anglo-Saxon: DNK_BA,0.1160995,0.1370965,0.0633565,0.0524875,0.0 296975,0.0301205,0.011163,-0.005192,-0.0072605,-0.003827,-0.002923,0.0089175,-0.004683,-0.0161015,0.0138435,0.0041765,0.00678,0.009565,0.0 152095,0.0046275,0.017906,-0.0087795,0.000801,0.002651,-0.0113765
Anglo-Saxon:Norse,0.1281142,0.1294236,0.0681749,0.061836 6,0.0366562,0.0195534,0.0069459,0.0088458,0.000272 8,-0.0021463,-0.0048718,0.009608,-0.0101914,-0.0155362,0.0242939,0.0120656,0.0019703,0.0065033, 0.002947,0.0051831,0.0056566,0.004053,0.0024102,0. 0136563,0.0015302
Anglo-Saxon:Longobard,0.114961,0.106631,0.048649,0.04295 9,0.028313,0.013387,0.011281,0.017768,-0.001432,-0.010023,-0.002436,0.006444,-0.01219,0.007156,0.018051,0.002387,0.00013,0.00848 8,0.011816,0.002876,0.010482,-0.000866,0.006039,0.005302,-0.000239
Anglo-Saxon: Deutschendorf_Poprad_MA,0.124067,0.135065,0.059585 ,0.043282,0.041238,0.017291,-0.001175,0.002769,0.002659,-0.00328,-0.003248,0.007044,-0.012487,-0.006606,0.0057,0.020154,0.002217,0.000127,-0.000377,-0.00075,-0.00287,0.004081,0.000986,0.021328,0.000599
Anglo-Saxon:England_Saxon:I0161,0.12862,0.13405,0.061848 ,0.048127,0.04647,0.020638,0.004465,0.005077,0.006 749,0.004738,-0.002436,0.004946,-0.006987,-0.012799,0.024158,0.006895,0.004563,0.0019,0.00364 5,0.005503,0.002246,-0.00272,0.006779,0.016267,0.003233
Anglo-Saxon:England_Saxon:I0769,0.129758,0.132019,0.0708 99,0.059432,0.044624,0.025937,0.00282,0.005538,0,-0.006743,-0.006171,0.004796,-0.012785,-0.012386,0.028366,0.0179,0.00691,-0.003674,0.006159,0.008004,0.008235,0.005193,0.000 37,0.019521,0.002036
Celtic:England_CA_EBA,0.124636,0.125926,0.061576,0 .062106,0.031134,0.019724,0.004296,0.004654,-0.000216,-0.004323,-0.004872,0.005928,-0.011678,-0.015398,0.025123,0.010342,-0.003593,0.000718,0.002905,0.006107,0.005359,0.002 899,-0.000383,0.003294,-0.001058
Celtic:England_EMBA,0.125205,0.129988,0.060716,0.0 6137,0.029236,0.020359,0.012691,0.002077,0.002659,-0.005103,-0.002273,0.003447,-0.010406,-0.01445,0.029587,-0.005834,-0.020601,0.008868,0.003017,0.001,0.002371,-0.001484,-0.008134,0.008435,0.003832
Celtic:England_IA,0.13175,0.130749,0.060151,0.0480 46,0.035083,0.02015,0.004818,0.003692,0.004244,0.0 04191,-0.004425,0.005732,-0.010518,-0.018476,0.018017,0.010044,0.001206,-6.3e-05,0.003331,0.003908,0.003899,0.000247,-0.001202,0.011417,0.000449
Celtic:England_LBA,0.119514,0.116786,0.056945,0.05 814,0.031698,0.018686,0.00235,-0.003461,0.004909,-0.00656,-0.006496,0.003447,-0.025718,-0.004817,0.019544,0.02148,0.00352,-0.000253,-0.000126,0.006128,0.005989,-0.00272,-0.001602,0.012291,-0.004311
Celtic:England_MBA,0.127013,0.129092,0.063068,0.05 9755,0.034178,0.019916,0.001493,0.004927,0.004596,-0.001394,-0.004738,0.003967,-0.01115,-0.015657,0.024677,0.009157,-0.005952,0.00307,0.000983,0.003987,0.004698,0.0047 13,-0.000638,0.005834,-0.001205
Celtic:England_Roman,0.127482,0.136806,0.059585,0. 049465,0.03715,0.017052,0.003659,0.005241,0.003009 ,0.00315,-0.005382,0.007108,-0.014208,-0.01276,0.021967,0.001762,-0.008382,0.001122,0.003951,0.003805,0.005259,0.001 661,-0.003504,0.007195,-0.000239
Celtic:England_MIA,0.12996405,0.13538346,0.0602893 37,0.047477108,0.039859012,0.016528458,0.001749759 ,0.0046596627,0.0072667952,0.0058359277,-0.0051983735,0.006791,-0.015229675,-0.015531482,0.021695627,0.0061454578,-0.0051493855,0.0019308795,0.001600747,0.0035408675 ,0.0059368193,0.0043263976,-0.001774506,0.0057591446,-0.0015119518
Anglo-Saxon:VK2020_DNK_Jutland_VA,0.1248801,0.1327441,0. 0598544,0.0433743,0.0406449,0.01757,0.0017794,0.00 55546,0.0054637,0.0015751,-0.0035146,0.0043354,-0.0109053,-0.0060063,0.0174981,0.0076712,-0.0026077,0.0023891,0.0024691,0.0036983,0.005116,0 .002323,0.0005106,0.0103456,-0.0005901
Celtic:Irish_Gaelic,0.130896,0.13405,0.06033 9,0.047804,0.038161,0.018407,0.00376,0.005307,0.00 3886,0.002187,-0.006171,0.006144,-0.013528,-0.014037,0.02443,0.01127,-0.01356,0.002914,0.003017,0.003251,0.006239,0.0029 68,-0.002095,0.015143,0.001002
Highland_Pict:Scotland_Pictish,0.126344,0.132019,0 .057322,0.041021,0.035083,0.01506,0.002585,0.00415 4,0.004909,0.004009,-0.004547,0.005245,-0.010109,-0.012386,0.020358,0.008486,-0.011474,0.001901,0.002137,0.002626,0.004492,0.002 102,-0.001479,0.011809,0.000718
Norse_Viking:Scotland_Orkney_VA,0.126344,0.125926, 0.068259,0.062016,0.043085,0.024263,0.008225,0.009 461,0.000818,0.000729,-0.001137,0.003297,-0.006541,-0.007844,0.016286,0.01127,-0.003129,0.000887,0.004525,0.005002,0.004013,0.003 462,0.000986,0.009881,0.001553
Anglian_Germanic:England_Northumbria_EMA,0.12862,0 .127957,0.06411,0.054587,0.041854,0.021196,0.00681 5,0.007846,0.001841,0.002369,-0.002923,0.004346,-0.008622,-0.010183,0.019951,0.010872,-0.007693,0.00152,0.003959,0.004127,0.004617,0.0037 1,-0.000493,0.011809,0.001076
what does my G25 results mean ? Target: codex_scaled
Distance: 1.3716% / 0.01371555
29.0 Celtic: DEU_Lech_EBA:AITI_119
27.4 Anglo-Saxon:Norse
21.0 Celtic:England_LBA
16.8 Anglo-Saxon:England_Saxon:I0769
5.8 Celtic: Irish_Gaelic
Your G25 (Global25) result is basically modeling your genetic profile as a mix of ancient reference populations. It’s not giving you literal ancestry percentages like a consumer DNA test—it’s showing which ancient samples you’re closest to genetically.
Let’s break yours down in plain English:
Overall Fit
Distance: 1.37% → This is very good
Anything under ~2% is considered a strong fit
So your mix is modeled pretty accurately with these populations
Your Components Explained
1. 29.0% – Celtic (Early Bronze Age Germany – Lech Valley)
Ancient Celtic-like people from southern Germany (~2000–1500 BC)
These are early Indo-European populations tied to:
Bell Beaker / early Celtic expansions
This is deep ancestral “proto-Celtic” DNA, not modern Germans
2. 27.4% – Anglo-Saxon (with Norse influence)
Early medieval migrants to England (400–900 AD)
Mix of:
Germanic tribes (Angles, Saxons)
Some Viking/Norse input
This reflects typical English-type Germanic ancestry
3. 21.0% – Celtic (Late Bronze Age England)
Pre-Anglo-Saxon inhabitants of Britain
The people living in Britain before Germanic invasions
Think ancient Britons (Brythonic Celts)
4. 16.8% – Anglo-Saxon (specific Saxon sample)
A more specific early English Saxon individual
Reinforces your Germanic/Anglo-Saxon ancestry
5. 5.8% – Insular Celtic (Irish Gaelic)
More recent Celtic ancestry from Ireland
This is the closest thing here to a “modern-like” Celtic signal
What This Means Overall
You are modeled as roughly:
~44% Celtic (ancient Britain + continental Celtic)
~44% Anglo-Saxon / Germanic (including Norse influence)
~6% Irish Gaelic
small overlaps between categories
Simple Interpretation
Your DNA looks like a very typical British Isles profile, especially:
English (southern/eastern leaning) or
Mixed English + Irish/Scottish
Why?
Strong Anglo-Saxon component → common in England
Significant Celtic base → native Britons + older European layers
Small Irish signal → suggests some Gaelic ancestry
⚠️ Important Notes
These are proxies, not literal ancestors
“Celtic” and “Anglo-Saxon” here are genetic clusters, not identities
The model is compressing thousands of years of ancestry into a few categories
Bottom Line
Your result suggests:
A balanced mix of ancient Celtic Britons and Anglo-Saxon settlers, with a small Irish Gaelic contribution—very typical of someone with British Isles ancestry, especially English.
English American :
codex_scaled Distance: 0.9398% / 0.00939833 | R4P
33.8 Netherlands_LIA
28.8 Germany_Liebenau_Saxon_EMedieval
19.4 France_MBA
18.0 Ireland_EBA.SG


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| Received: 46,652/314 Given: 32,477/1 |








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| Received: 5,299/1 Given: 8,127/25 |
Distance to: CDG_scaled
0.02004546 Celtic:England_IA:I0160
0.02108268 Celtic:Irish_Gaelic
0.02151614 Celtic:England_Roman
0.02352444 Anglian_Germanic:England_Northumbria_EMA
0.02361676 Highland_Pict:Scotland_Pictish
0.02419313 Anglo-Saxon:VK2020_DNK_Jutland_VA
0.02427956 Anglo-SaxonEU_MA
0.02436233 Celtic:England_MIA
0.02677443 Anglo-Saxon:England_Saxon:I0161
0.02683984 Celtic:England_IA
0.02839264 Celtic:England_MBA
0.02997703 Celtic:6DT3
0.03087437 Celtic:6DT18
0.03106601 Norse_Viking:Scotland_Orkney_VA
0.03176156 Anglo-Saxon:Norse
0.03199269 Celtic:3DT16
0.03249859 Celtic:6DT21
0.03363919 Celtic:England_CA_EBA
0.03439465 Anglo-SaxonEU_MA_ACD:STR_220
0.03568083 Celtic:England_EMBA
0.03615060 Celtic:6DT22
0.03631814 Anglo-SaxonEU_MA:ALH_1
0.03757140 Anglo-Saxoneutschendorf_Poprad_MA
0.03855419 Anglo-Saxon:England_Saxon:I0769
0.04122120 CelticEU_Lech_EBA:AITI_2
Target: CDG_scaled
Distance: 1.4020% / 0.01402017
65.0 Celtic
35.0 Anglo-Saxon
Target: CDG_scaled
Distance: 1.4020% / 0.01402017
44.0 Celtic:England_IA:I0160
16.0 Anglo-Saxon:England_Saxon:I0161
13.0 Celtic:6DT3
8.2 Anglo-Saxoneutschendorf_Poprad_MA
6.4 Celtic:CZE_Hallstatt_Bylany
5.2 Anglo-Saxon:England_Saxon:I0769
4.0 Anglo-SaxonEU_MA:STR_486
1.6 Anglo-SaxonEU_MA_ACD:BIM_33
1.4 Celtic:Irish_Gaelic
0.2 CelticEU_Lech_EBA:AITI_2







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| Received: 9,439/27 Given: 8,045/2 |
In the right direction, i guess.
"Primary Affinity: Your coordinates show a very close genetic distance to populations in Northwest Europe, such as the English, Dutch, or Germans.
Genetic Characteristics:
The high values in your first few components (e.g., 0.12862, 0.126941) are typical for populations with high Western Hunter-Gatherer (WHG) and Early European Farmer (EEF) admixture, which is characteristic of modern Europeans.
Your profile is significantly more similar to North-Central European groups than to Southern European (e.g., Italian or Spanish) or Scandinavian groups."
1. The "East-West" Pull (PC1 & PC2)
Your PC1 (0.1286): This is a very standard "North-Central European" value. It sits right between the averages for Scandinavian/Germanic populations (usually ~0.130+) and slightly more southern or mixed groups.
Your PC2 (0.1269): This is the key indicator of your mix.
Irish/Danish/North German populations typically have a lower PC2 (closer to 0.130 or slightly less).
Polish/Slavic populations have a significantly higher PC2 (pulling "East").
Your value of 0.1269 is slightly "west" of a typical Pole but "east" of a typical Irish person, perfectly reflecting a blend of Central/Eastern European (Polish) with Northwest European (Danish/German/Irish).
2. The "North-South" & "East" Shift (PC3)
Your PC3 (0.0618): This is elevated, which is a hallmark of Northeast European ancestry.
While Irish and Danish ancestry contributes to this, the Polish component is likely doing the heavy lifting here, pushing this value higher than what is typical for a purely Western European person (who might be closer to 0.05-0.06).
3. The Ashkenazi Impact
Ashkenazi ancestry (1/32 or ~3%) is genetically distinct (Southern European/Middle Eastern shift), but at such a small percentage, it won't drastically skew your primary coordinates.
However, it might slightly "lower" your PC1 and PC2 just enough to distinguish you from a reference sample that is 100% Northern European. It likely manifests as a very subtle pull toward the "South," preventing you from clustering exactly with modern Scandinavians despite your Danish heritage.
Summary
Your coordinates effectively place you in Central-North Europe, likely clustering closest to populations like East Germans, Austrians, or mixed Dutch/German groups who historically bridge the gap between the Slavic east and the Germanic west.
If you run a "Distance" model on Vahaduo or G25 Studio, you will likely see German_East or German_North appear as your closest single-population match because those populations naturally embody a similar mix of Germanic and Slavic DNA.
"3:16 For YHWH so loved the world, that He gave His only begotten Son, that whosoever believeth in Him should not perish, but have everlasting life.."
#GodWins








| Thumbs Up/Down |
| Received: 5,299/1 Given: 8,127/25 |
Distance to: CDG_scaled
0.07911897 Iberian_99%+Amerindian1%
0.07955030 Iberian
0.08142324 Iberian&Amerindian(99+1)94%+SSA6%
0.10604525 Spanish_Canarias
0.18550925 Canarian+Berber
0.36500819 Canarians+SouthAmerindian
0.46873686 Canarian&Amerindian+SSA
0.71955285 Surui
0.77737797 Yoruba
Target: CDG_scaled
Distance: 7.9090% / 0.07909006
64.4 Iberian
34.8 Iberian_99%+Amerindian1%
0.8 Surui












| Thumbs Up/Down |
| Received: 1,120/0 Given: 2,865/1 |
Interesting!
Yes, this "Amerindian" of yours can only be something very old, related to the Ancient North Eurasian.
Because of numerous calculator tests here at TA, I stopped using Amerindian in my personal calculators. Although as a Brazilian it is reasonable to expect some percentage of Amerindians, I found it strange, for some time now, that my distance to the Indians of North America is less than that of the South.
My conclusion is that the AIs were biased by my location.
Our "Asian" and "Amerindian" is most likely the result of some very crazy hyperborean party with a lot of alcohol hahaha
I put Cycles - 4XCode:Surui:HGDP00832,0.056912,-0.317861,0.112382,0.110144,-0.118791,-0.016455,-0.32925,-0.40406,-0.01943,-0.014943,0.001786,-0.002847,0.001487,0.045691,-0.019137,-0.002387,0.017863,0.00228,-0.004274,-0.003877,-0.004617,0.01014,-0.011092,-0.006868,-0.011137 Surui:HGDP00837,0.056912,-0.31583,0.120679,0.107237,-0.11356,-0.013108,-0.325255,-0.392522,-0.016771,-0.02442,0.003897,-0.005545,0.0055,0.033718,-0.010858,0.00053,0.012517,-0.000887,0.001257,0.001501,-0.00262,0.017682,0,-0.005904,-0.013412 Surui:HGDP00838,0.061464,-0.320907,0.119547,0.105622,-0.108328,-0.008925,-0.32173,-0.380523,-0.012885,-0.020046,-0.003573,-0.004646,-0.002676,0.03069,-0.013301,0.001989,0.007041,-0.004181,0.008925,0.002001,-0.003119,0.011871,-0.005053,-0.010122,-0.007784 Surui:HGDP00843,0.053497,-0.311768,0.11653,0.11079,-0.119407,-0.026216,-0.33489,-0.398983,-0.019839,-0.022962,0.006496,-0.007943,0.005798,0.039635,-0.016151,0.000133,0.009127,-0.00266,-0.006788,0.001,-0.004118,0.012365,-0.010599,-0.00976,-0.007185 Surui:HGDP00845,0.060326,-0.320907,0.11653,0.099807,-0.108943,-0.012271,-0.317969,-0.382369,-0.018816,-0.021504,0.001786,-0.002398,0.001487,0.029589,-0.008007,0.002652,0.007953,-0.00076,0.002137,0.005753,-0.003244,0.011252,-0.007148,-0.004579,-0.006227 Amerindian_North:AN1,0.052359,-0.328016,0.109742,0.073644,-0.104635,-0.016733,-0.202344,-0.242528,-0.002659,-0.015672,0.00682,-0.004946,0.005649,0.000413,-0.014658,-0.002652,-0.000261,0.005828,0.01257,0.006378,0.002371,-0.009892,-0.00419,0.005784,0.007305 Amerindian_North:AN2,0.054635,-0.324969,0.115022,0.08398,-0.108636,-0.023427,-0.207514,-0.238144,-0.006136,-0.019317,0.007795,-0.003747,0.00892,0.000138,-0.015879,-0.005436,0.000522,0.003547,0.012696,0.008629,0.002496,-0.015457,0.00456,0.010242,0.013412 Amerindian_North:AN3,0.053497,-0.325985,0.109365,0.078812,-0.108943,-0.01757,-0.195999,-0.236067,-0.002454,-0.023326,0.013316,-0.003897,0.009366,0.006468,-0.016286,-0.005569,-0.005215,0.003294,0.009427,0.009755,0.00836,-0.011994,0.004067,0.004458,0.010777 Amerindian_North:AN4,0.05122,-0.333094,0.11389,0.073321,-0.102481,-0.015897,-0.187538,-0.222452,-0.003681,-0.022233,0.005196,-0.001049,0.001635,-0.006744,-0.013708,-0.004375,0.002868,0.00038,0.011313,0.004627,0.002246,-0.005688,0.006409,0.004338,0.005628 Paleo-Eskimo_Saqqaq_Greenland,0.047806,-0.379808,0.109742,0.015504,-0.109867,-0.046017,-0.019976,-0.010846,0.008385,-0.007472,0.021435,-0.001349,0.004906,-0.026974,-0.024022,-0.013524,-0.002608,0.010769,0.026397,0.018884,0.012353,-0.033386,0.002342,0.018075,0.027542 Mongolia_IA_Xiongnu_Early_(Scytho-Siberian_West_Eurasian_Profile),0.100164,-0.048745,0.030547,0.047158,-0.041238,0.012829,-0.005405,-0.011307,-0.026179,-0.032074,-0.004384,-0.006145,0.000892,-0.024359,0.020765,-0.003713,-0.020861,0.000127,0.002514,-0.002751,-0.020963,0.004946,-0.000246,0.007109,0.006945 Mongolia_IA_Xiongnu_Late_(Scytho-Siberian_West_Eurasian_Profile),0.097761222,0.029111778,0.010894667,0.046691444,-0.036177556,0.017725111,0.0027677778,0.00079466667,-0.024202,-0.026950667,-0.0036446667,0.0010488889,0.000016666667,-0.019970556,0.019332556,0.012596,-0.002883,0.00043633333,0.0022485556,-0.0010284444,-0.0078473333,0.0014564444,-0.000178,0.0023296667,-0.0013571111 Tyumen_N,0.1058555,-0.060424,0.0974855,0.199292,-0.082631,0.045738,-0.0419495,-0.0471905,-0.0334395,-0.09212,0.0194865,-0.0106405,0.0273535,-0.071908,0.0259225,0.01664,-0.01356,-0.0065875,-0.000377,0.0032515,-0.0301345,0.0109435,0.024095,0.0074705,-0.010119
Target: Fabricius_K13-G25
Distance: 16.5101% / 0.16510135
100.0 Mongolia_IA_Xiongnu_Late_(Scytho-Siberian_West_Eurasian_Profile)
Target: Fabricius_K15-G25
Distance: 16.5475% / 0.16547483
100.0 Mongolia_IA_Xiongnu_Late_(Scytho-Siberian_West_Eurasian_Profile)
Target: Fabricius_K36-G25
Distance: 16.6285% / 0.16628528
100.0 Mongolia_IA_Xiongnu_Late_(Scytho-Siberian_West_Eurasian_Profile)
Target: Fabricius_MyHeritage-to-g25(simulated)
Distance: 15.9098% / 0.15909807
100.0 Mongolia_IA_Xiongnu_Late_(Scytho-Siberian_West_Eurasian_Profile)
Individual distances:
Distance to: Fabricius_K13-G25
0.16510135 Mongolia_IA_Xiongnu_Late_(Scytho-Siberian_West_Eurasian_Profile)
0.22993448 Mongolia_IA_Xiongnu_Early_(Scytho-Siberian_West_Eurasian_Profile)
0.35489560 Tyumen_N
0.55662911 Paleo-Eskimo_Saqqaq_Greenland
0.58543183 Amerindian_North:AN4
0.59010748 Amerindian_North:AN3
0.59396744 Amerindian_North:AN1
0.59522036 Amerindian_North:AN2
0.70755728 Surui:HGDP00845
0.70908709 Surui:HGDP00838
0.71610082 Surui:HGDP00837
0.72360585 Surui:HGDP00843
0.72688105 Surui:HGDP00832
Distance to: Fabricius_K15-G25
0.16547483 Mongolia_IA_Xiongnu_Late_(Scytho-Siberian_West_Eurasian_Profile)
0.22999164 Mongolia_IA_Xiongnu_Early_(Scytho-Siberian_West_Eurasian_Profile)
0.35685780 Tyumen_N
0.55542277 Paleo-Eskimo_Saqqaq_Greenland
0.58514503 Amerindian_North:AN4
0.58981885 Amerindian_North:AN3
0.59369135 Amerindian_North:AN1
0.59501703 Amerindian_North:AN2
0.70772941 Surui:HGDP00845
0.70920087 Surui:HGDP00838
0.71634535 Surui:HGDP00837
0.72389608 Surui:HGDP00843
0.72701960 Surui:HGDP00832
Distance to: Fabricius_K36-G25
0.16628528 Mongolia_IA_Xiongnu_Late_(Scytho-Siberian_West_Eurasian_Profile)
0.23063703 Mongolia_IA_Xiongnu_Early_(Scytho-Siberian_West_Eurasian_Profile)
0.36092197 Tyumen_N
0.55478120 Paleo-Eskimo_Saqqaq_Greenland
0.58588938 Amerindian_North:AN4
0.59063994 Amerindian_North:AN3
0.59447766 Amerindian_North:AN1
0.59576989 Amerindian_North:AN2
0.70898041 Surui:HGDP00845
0.71049398 Surui:HGDP00838
0.71771178 Surui:HGDP00837
0.72515226 Surui:HGDP00843
0.72831318 Surui:HGDP00832
Distance to: Fabricius_MyHeritage-to-g25(simulated)
0.15909807 Mongolia_IA_Xiongnu_Late_(Scytho-Siberian_West_Eurasian_Profile)
0.22349278 Mongolia_IA_Xiongnu_Early_(Scytho-Siberian_West_Eurasian_Profile)
0.35496234 Tyumen_N
0.54926340 Paleo-Eskimo_Saqqaq_Greenland
0.58096359 Amerindian_North:AN4
0.58580011 Amerindian_North:AN3
0.58971665 Amerindian_North:AN1
0.59104719 Amerindian_North:AN2
0.70498762 Surui:HGDP00845
0.70650566 Surui:HGDP00838
0.71373504 Surui:HGDP00837
0.72125954 Surui:HGDP00843
0.72444628 Surui:HGDP00832
German_Kingdom-of-Prussia_(ghost),0.1345579,0.1314643,0.0715706,0.05 88402,0.0426589,0.0228925,0.0074964,0.0097798,0.00 24535,-0.0110713,-0.0053468,-0.0024884,0.0033076,0.0113027,0.0049235,0.0035482,-0.0017119,0.000753,0.0040701,0.003331,0.002137,-0.0029782,0.0030389,0.0047346,0.0012004












| Thumbs Up/Down |
| Received: 1,120/0 Given: 2,865/1 |
My coordinates "Fabricius_MyHeritage-to-g25(simulated)" are not my favorite, I prefer to use my K13 to G25, which is less sensitive and less likely to put me in the Balkans. But I chose here precisely because it is the one with the shortest distances, in order to see if I can achieve very low distances only with Iberians.
I've made countless calculators for myself, testing different populations. I think this thread is a good opportunity to show some reasoning and how AI is still very limited, being quick to process given information but limited to think beyond.
AI lacks intuition.
Grok said that the "Canarian" sample is sufficient for my model and that I don't need to add any other population. To assess this, we first need to look at what is considered "good distance" for G25 results on Vahaduo.
I asked this to Google Gemini:
In Vahaduo, what is considered a good distance? What's better without "noise"? What is a reasonable and slightly related distance? At what point is distance unrelated?
The answer of Google:
Then I asked for the minimal distance:In Vahaduo (specifically using Eurogenes Global 25 or G25 coordinates), genetic distance—often shown as Euclidean distance—indicates how closely your DNA matches a reference population or ancient sample. A smaller number represents a closer relationship
.*
Good Distance (Excellent fit)
• 0.00 – 0.025: Considered an extremely good fit. Matches in this range often represent your direct population or very close ancestors.
• 0.025 – 0.035: Good fit. Still very close, representing regional populations.*
Best Distance without "Noises"
• Under 0.02: The absolute best fit to minimize "noise" (overfitting or misinterpretation of components). When the distance is very small, it indicates the modeled populations are accurately reflecting your ancestry.*
Reasonable and Slightly Related Distance
• 0.035 – 0.05: A reasonable fit. These populations are "slightly related" or share significant ancestry with you. This is common when modeling modern populations with ancient samples.
• Up to 0.05: Often seen as a decent fit for modeling complex or mixed ancestry.*
Non-Related / Too Far Distance
• Above 0.05: The fit starts to become poor, and the modeled relationship is likely "noises" or coincidental sharing of ancient components.
• 0.06 – 0.10+: Distances over 4 (using specific scaled methods) or in this range often suggest the population is not closely related and you lack that specific ancestry.*
General Rules of Thumb
• Valid Model: A genetic distance of 2 or less is often considered valid in specific scaled contexts (though G25 sometimes uses unscaled with lower numbers). Generally, lower is better.
• "Noises" (Overfitting): If you use too many sources, the distance can be artificially low. A good, consistent model should have a reasonable distance (e.g., ~0.03) without listing highly distant, non-related groups.
• Scale Matters: Scaled coordinates generally produce lower, more consistent numbers compared to raw/unscaled coordinates.*
Below 0.009999999 is it reasonable to continue going down to what number (thinking of noises)?
The answer:
In short, we have that from 1% to 2% we have the optimum, the ideal distance, which connects us to the populations considered related without the risk of "noise".In Vahaduo, pushing distances below
0.01 (or 1.0% in some formats) is generally considered unnecessary and likely to introduce noise or "overfitting." While it might feel more precise, a fit that is too low often means the algorithm is simply finding a mathematical fluke rather than a real ancestral signal.*
Here is how to interpret distances at and below that range:
• The Overfitting Limit (0.01 to 0.005): Once you reach a distance of 0.01, the model is already exceptionally accurate. Attempting to drop further—for example, to 0.005 or lower—usually requires adding too many source populations. When you have more than 4–7 populations in a single model, you risk "overfitting," where the tool forces tiny percentages of unrelated groups just to lower the mathematical distance.
• The Role of Noise: G25 coordinates represent patterns in your DNA across 25 dimensions. The later dimensions capture very small variations. If you chase a near-zero distance, you are essentially trying to model the "noise" or random mutations in these later dimensions, which do not represent your actual ancestry.
• Best Practice: Instead of aiming for the lowest possible number, focus on whether the results make sense for your known heritage. If you get a distance of 0.015 with 3 populations that match your family history, that is a much better result than a 0.008 that requires 15 random populations.*
To maintain accuracy, it is recommended to keep your source panel small and only add samples that have a historical or geographical basis for your ancestry.*
Below 1% is really close (we are 0.000000000) but it is suspect, if there are no reasons to include some populations (historical reasons, family accounts, documents, geographical proximity et caetera).
Above 2% up to 3.5% is a reasonable distance to have a broad, general idea. But it cannot be said that "nothing is missing".
Above 3.5% is another population. I have noticed that the most homogeneous TA members are distant from ~2% and even ~1% from individual populations.
This is my result with only 3 samples:
Target: Fabricius_MyHeritage-to-g25(simulated)
Distance: 3.2123% / 0.03212272
95.6 Spanish_Canarias
3.2 Yoruba
1.2 Surui
I put an average Iberian sample to help the Canarian:
Without Canarian:
Target: Fabricius_MyHeritage-to-g25(simulated)
Distance: 2.2887% / 0.02288697
92.2 Iberian
6.2 Yoruba
0.6 Berber_Algeria
0.6 Surui
0.4 Moroccan
With Canarian:
Target: Fabricius_MyHeritage-to-g25(simulated)
Distance: 2.2835% / 0.02283469
86.0 Iberian
7.0 Spanish_Canarias
6.4 Yoruba
0.6 Surui
So, Canarian just make the Maghrebian (supposedly) unnecessary.
My result is still a broad one.
But I have a basic model:
The Jewish hypothesis.Code:Spanish_Canarias,0.081294,0.145702,0.030269,-0.012903,0.037837,-0.006224,-0.006494,0.000814,0.031604,0.029052,-0.000496,0.005261,-0.007175,-0.013617,0.011022,-0.002198,-0.002738,-0.003487,-0.010843,0.000987,0.000604,-0.00643,0.001641,-0.003418,0.001702 Yoruba,-0.630062,0.062501,0.022113,0.016708,0.000503,0.012474,-0.044417,0.047767,-0.048881,0.032769,0.004621,0.00079,0.023056,0.000951,0.012523,-0.009607,0.007076,0.000449,0.006022,-0.00299,0.001554,0.002316,-0.001759,-0.000471,-0.000425 Surui,0.057822,-0.317454,0.117134,0.10672,-0.113806,-0.015395,-0.325819,-0.391691,-0.017548,-0.020775,0.002079,-0.004676,0.002319,0.035864,-0.013491,0.000583,0.0109,-0.001242,0.000251,0.001276,-0.003544,0.012662,-0.006779,-0.007447,-0.009149 Berber_Algeria,-0.293664,0.105158,0.001999,-0.040068,0.014449,-0.012341,-0.036673,0.021057,0.026936,0.021531,0.005757,-0.004526,0.021318,-0.007432,0.011428,-0.00883,0.003123,-0.011079,-0.023053,0.00499,-0.007362,-0.019636,0.012177,-0.000361,0.002652 Moroccan,-0.085367,0.130213,-0.012822,-0.070881,0.021132,-0.03294,-0.027783,0.009769,0.055403,0.024399,0.009509,-0.009025,0.02699,-0.014466,0.016302,-0.006188,-0.002767,-0.017033,-0.038422,0.009435,-0.009844,-0.029512,0.020911,-0.001125,0.005921 Iberian,0.110402,0.1415784,0.0398687,-0.0005169,0.0431142,-0.0018739,-0.001906,0.0019369,0.0234939,0.0314933,-0.0027015,0.0076052,-0.0145158,-0.0125172,0.0098462,0.0006419,-0.0024884,-0.0003313,-0.0028162,-0.0015244,0.0034283,-0.0009043,-0.0022295,-0.0032113,0.0005154
The AI said that my ancestry could extend across the Mediterranean, not north. And he mentioned Jews. Sephardic Jews are an important component in the Iberian Peninsula, especially in Brazil, especially in Minas Gerais, due to the "cristãos novos" (new Christians) forced to convert to Christianity, but this is very old and the DNA must already be diluted. Even so, I considered (and was not now) whether my "Semitic" is Arab or Jewish, and whether Sephardic or Ashkenazi Jewish. If is Ashkenazi, it is not something typical here, nor in the Brazilian Northeast, because the Jews who went there with the Dutch were Sephardim as well. Ashkenazi implies something from Central or Eastern Europe.
Here's how I chose the Jewish samples:
Spoiler!
Using Ashkenazi_Ukraine and Belmonte_Jew:
Target: Fabricius_MyHeritage-to-g25(simulated)
Distance: 2.0675% / 0.02067500
80.4 Iberian
12.6 Ashkenazi_Ukraine
6.4 Yoruba
0.6 Surui
Second attempt to lower the distance: using Venetians, who are historically the main Italian ethnicity (or sub-ethnicity) that came to Brazil. They are Italians who are geographically close to Austria and Slovenia.
Finally I went down beyond 2%.
Target: Fabricius_MyHeritage-to-g25(simulated)Code:Italian_Veneto,0.126154,0.148267,0.030756,-0.00628,0.034485,-0.000821,0.002154,0.002051,0.010374,0.022901,-0.002337,0.005487,-0.011034,-0.004457,-0.002247,0.001878,0.004679,0.00183,0.002675,-0.003648,-0.000686,0.003284,-0.000219,0.001908,-0.002209
Distance: 1.7034% / 0.01703351
49.6 Italian_Veneto
37.6 Iberian
6.4 Yoruba
3.8 Spanish_Canarias
1.8 Berber_Algeria
0.8 Surui
If I put a Serbian sample, my distance drops dramatically. But I have no historical reasons to include the Serbs, nor family accounts. So what does the Serbian recommend to me? They are South Slavic, so Slavic + Mediterranean. They signal something in the east.
Target: Fabricius_MyHeritage-to-g25(simulated)Code:Serbian,0.127311,0.137587,0.039943,0.015698,0.032068,0.004895,0.004653,0.006411,0.000508,0.001488,-0.001378,-0.001474,0.002859,0.012297,-0.013746,-0.001772,0.00583,0.000289,0.00591,-0.002357,-0.007726,-0.000998,0.00502,-0.000207,-0.001579
Distance: 0.6311% / 0.00631143
36.4 Serbian
35.8 Iberian
19.8 Spanish_Canarias
5.0 Yoruba
2.8 Berber_Algeria
0.2 Surui
In the east it doesn't seem to be something Asian or Mediterranean, as the Greek sample increases the distance again.
Target: Fabricius_MyHeritage-to-g25(simulated)Code:Greek_Central_Anatolia,0.110847,0.142096,-0.04041,-0.060699,-0.014843,-0.018772,0.002802,-0.003657,-0.018879,0.009911,0.003635,0.003608,-0.003739,0.005748,-0.010022,-0.004172,0.002608,0.002826,0.005627,-0.003627,0.001286,0.004765,-0.002901,-0.000565,0.001326
Distance: 2.1452% / 0.02145165
86.6 Iberian
6.6 Yoruba
6.2 Greek_Central_Anatolia
0.6 Surui
So I'm going to start testing in Northeast Europe, starting with Latvians and Lithuanians.
Target: Fabricius_MyHeritage-to-g25(simulated)Code:Lithuanian_VZ,0.137299,0.12618,0.085088,0.082365,0.044431,0.032665,0.010487,0.017624,-0.003605,-0.031527,-0.003613,-0.009704,0.019976,0.030139,-0.01045,-0.004558,-0.000603,0.001283,0.003252,0.001344,-0.004383,-0.005673,0.00835,-0.005874,-0.001317 Latvian,0.135449,0.122473,0.088774,0.089471,0.043208,0.034025,0.012597,0.014076,-0.002168,-0.036885,-0.003573,-0.013818,0.023221,0.031378,-0.010559,0.004057,0.002712,-0.00038,0.001609,0.004302,-0.002795,-0.005713,0.009071,-0.009327,0.002634
Distance: 1.2217% / 0.01221723
49.2 Iberian
24.0 Spanish_Canarias
16.2 Lithuanian_VZ
4.2 Moroccan
4.0 Yoruba
2.0 Berber_Algeria
0.4 Surui
I added next to the Lithuanian the (German)Prussian.
Target: Fabricius_MyHeritage-to-g25(simulated)Code:German_East_Prussia_Central,0.139910,0.137333,0.074736,0.060239,0.045830,0.024426,0.007193,0.009120,0.003903,-0.007627,-0.006685,0.000101,-0.001231,0.004128,0.012348,0.005866,-0.004860,0.001786,0.005519,0.004255,0.003180,0.000244,-0.000467,0.009529,-0.000130 German_East_Prussia_Masuria,0.138131,0.130080,0.078247,0.065741,0.043909,0.025602,0.009332,0.011942,0.001169,-0.017964,-0.004623,-0.006251,0.011273,0.021125,-0.004113,0.001967,0.001465,-0.000142,0.005035,0.002807,0.001257,-0.006278,0.003229,0.001818,0.001545 German_East_Prussia_Memelland,0.139866,0.127717,0.082097,0.072153,0.047912,0.028203,0.010240,0.012752,0.002240,-0.022530,-0.005998,-0.010358,0.018226,0.038986,-0.010011,0.000164,0.003039,0.000058,0.007829,0.004830,0.004546,-0.013672,0.003644,-0.001064,0.005919
Distance: 1.2180% / 0.01217988
54.8 Iberian
16.8 Spanish_Canarias
13.6 Lithuanian_VZ
5.8 Moroccan
4.0 Yoruba
3.0 German_East_Prussia_Memelland
1.8 Berber_Algeria
0.2 Surui
I added alongside the Lithuanian and Prussian the Polish.
Target: Fabricius_MyHeritage-to-g25(simulated)Code:Polish,0.13184,0.12927,0.069868,0.057738,0.040676,0.021713,0.008678,0.010863,-0.000933,-0.018553,-0.004349,-0.006419,0.013093,0.018629,-0.007024,-0.00056,0.001546,-7.4e-05,0.002695,0.001287,-0.003129,-0.003119,0.005606,-0.003333,-8.8e-05 Polish_Kashubian,0.136588,0.133034,0.07533,0.064358,0.044931,0.021196,0.010517,0.01223,-0.003528,-0.021868,-0.004182,-0.005283,0.009217,0.018063,-0.002613,-0.00116,-0.002021,-0.001077,0.003174,0.001782,-0.003338,-0.004792,0.004499,0.001536,0.00021 Polish_Silesian,0.131466,0.130496,0.070522,0.049904,0.037545,0.019383,0.004583,0.013038,0.000307,-0.014943,-0.001705,-0.000674,0.002156,0.014794,-0.007057,-0.002585,0.010887,0,-0.00176,0.002126,-0.00156,-0.002349,0.004252,0.007049,-0.000479
Distance: 1.0932% / 0.01093152
43.2 Iberian
23.0 Spanish_Canarias
17.6 Polish
5.6 Polish_Silesian
4.2 Moroccan
4.0 Yoruba
2.2 Berber_Algeria
0.2 Surui
And this is the result if I include German (and it is not arbitrary inclusion, as it is in accordance with my grandfather's account):
I remind of the Sorbs too!
Target: Fabricius_MyHeritage-to-g25(simulated)Code:German_East,0.130897,0.138493,0.061094,0.049984,0.038123,0.016141,0.006316,0.007038,0.002199,-0.00492,-0.005217,-0.00178,-3.7e-05,0.008223,0.001306,-0.003132,-0.007905,0.001188,0.005311,-0.00075,0.000624,-0.001113,0.001772,0.001612,-0.000314 Sorb_Niederlausitz,0.130897,0.137096,0.068636,0.056848,0.050779,0.021196,0.011281,0.011076,-0.003477,-0.017312,-0.002111,-0.006744,0.013082,0.017891,-0.008415,0.001061,0.008475,-0.006208,0.007039,-0.004127,-0.003369,-0.007543,0.008011,-0.004458,0.001197
Distance: 1.0489% / 0.01048851
41.2 Iberian
19.0 Spanish_Canarias
15.0 German_East
9.2 Sorb_Niederlausitz
5.8 Moroccan
3.6 Yoruba
3.2 Polish_Silesian
2.6 Berber_Algeria
0.4 Surui
Individual distances:
![]()
German_Kingdom-of-Prussia_(ghost),0.1345579,0.1314643,0.0715706,0.05 88402,0.0426589,0.0228925,0.0074964,0.0097798,0.00 24535,-0.0110713,-0.0053468,-0.0024884,0.0033076,0.0113027,0.0049235,0.0035482,-0.0017119,0.000753,0.0040701,0.003331,0.002137,-0.0029782,0.0030389,0.0047346,0.0012004


| Thumbs Up/Down |
| Received: 9,805/4 Given: 14,075/4 |
I tried it a second time with the same scaled coordinates again, and these results are definitely closer to my actual G25 and Illus but definitely not perfect of course.
For context the first time I ran it through it said my top populations would be English, North Dutch, and Scottish with a summary stating no Eastern European affinity at all and minimal Germanic or French possible. This is what I got the 2nd time using the same coordinates.
This time:
French (specifically Northeast or Northwest France)
Belgian
Dutch (South)
German (West/Southwest)
Summary this time: Based on these specific values, your profile shows a strong Northwest European affinity, specifically clustering near modern French, Belgian, or Southern German populations.
Not sure why the results changed a fair bit this time??? Hmm.
Last time it said pure NW Europe and North Sea, this time it gave me Central/Western
PC1 & PC2 (0.130897, 0.132019): High values here are classic for European populations, placing you firmly in the "West Eurasian" cluster.
PC3 (0.055814): This reflects a significant amount of "North European" (WHG/Steppe) ancestry.
PC4 (0.032946): This value is typical for Central/Western Europe, moving away from the Mediterranean/Sardinian pull.
Makes a bit more sense I guess since G25 and Illus/Gedmatch model me as Central European. But still no mention of Eastern Euro affinity.
=(^.^)=
Also I don't do classifications currently, sorry.








| Thumbs Up/Down |
| Received: 5,299/1 Given: 8,127/25 |
Distance to: CDG_scaled
0.15389036 Mongolia_IA_Xiongnu_Late_(Scytho-Siberian_West_Eurasian_Profile)
0.21565351 Mongolia_IA_Xiongnu_Early_(Scytho-Siberian_West_Eurasian_Profile)
0.31951832 Tyumen_N
0.55627933 Paleo-Eskimo_Saqqaq_Greenland
0.58627171 Amerindian_North:AN4
0.59121674 Amerindian_North:AN3
0.59580561 Amerindian_North:AN1
0.59593878 Amerindian_North:AN2
0.71013613 Surui:HGDP00845
0.71124344 Surui:HGDP00838
0.71898727 Surui:HGDP00837
0.72778510 Surui:HGDP00843
0.73079678 Surui:HGDP00832
Target: CDG_scaled
Distance: 15.3890% / 0.15389036
100.0 Mongolia_IA_Xiongnu_Late_(Scytho-Siberian_West_Eurasian_Profile)








| Thumbs Up/Down |
| Received: 5,299/1 Given: 8,127/25 |
Distance to: CDG_scaled
0.03517625 German_East_Prussia_Central
0.03805544 German_East
0.05406154 Polish_Silesian
0.05998806 Polish_Kashubian
0.06193090 Polish
0.06313358 German_East_Prussia_Masuria
0.06705675 Sorb_Niederlausitz
0.06945002 Serbian
0.07955030 Iberian
0.08144757 Italian_Veneto
0.08561439 German_East_Prussia_Memelland
0.08921307 Lithuanian_VZ
0.09926720 Latvian
0.10604525 Spanish_Canarias
0.13037683 Belmonte_Jew
0.13184942 Ashkenazi_Russia
0.13199833 Ashkenazi_Ukraine
0.13280209 Ashkenazi_Belarussia
0.13416589 Ashkenazi_Romania
0.13553301 Ashkenazi_Lithuania
0.13602431 Ashkenazi_Poland
0.14212316 Ashkenazi_Austria
0.14415501 Ashkenazi_Latvia
0.14720499 Ashkenazi_Germany
0.14954901 Ashkenazi_France
Target: CDG_scaled
Distance: 2.6630% / 0.02662988
77.4 German_East_Prussia_Central
20.6 Iberian
2.0 Cochin_Jew_B
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