How German are you?

[Teutonski]

If it even appears on your list in Dodecad V3

# Population (source) Distance
1 German (Dodecad) 4.29
2 CEU (HapMap) 6.12
3 N._European (Xing) 6.36
4 Argyll (1000 Genomes) 6.68
5 Orcadian (HGDP) 7.58
6 Orkney (1000 Genomes) 7.84
7 Slovenian (Xing) 10.74
8 Mixed_Germanic (Dodecad) 13.1
9 French (HGDP) 14.35
10 French (Dodecad) 14.42
11 Dutch (Dodecad) 14.71
12 Hungarians (Behar) 15.09
13 Kent (1000 Genomes) 16.78
14 Swedish (Dodecad) 18.12
15 British_Isles (Dodecad) 18.33
16 British (Dodecad) 18.64
17 Cornwall (1000 Genomes) 19.27
18 Norwegian (Dodecad) 20.01
19 Irish (Dodecad) 21.08
20 FIN (1000Genomes) 22.34

[de Burgh II]

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 3.24
2 N._European (Xing) 4.56
3 Orcadian (HGDP) 5.09
4 Argyll (1000 Genomes) 5.25
5 Orkney (1000 Genomes) 5.44
6 French (HGDP) 8.33
7 German (Dodecad) 8.39
8 French (Dodecad) 8.84
9 Mixed_Germanic (Dodecad) 9.21
10 Dutch (Dodecad) 10.19
11 Kent (1000 Genomes) 12.31
12 British_Isles (Dodecad) 14.18
13 British (Dodecad) 14.22
14 Cornwall (1000 Genomes) 14.72
15 Slovenian (Xing) 16.3
16 Irish (Dodecad) 17.15
17 Swedish (Dodecad) 18.15
18 Norwegian (Dodecad) 18.73
19 French_Basque (HGDP) 20.15
20 Hungarians (Behar) 20.51

[oszkar07]

1 Slovenian (Xing) 5.85
2 German (Dodecad) 8.34
3 Hungarians (Behar) 10.22
4 CEU (HapMap) 10.83
5 N._European (Xing) 11.26
6 Argyll (1000 Genomes) 11.86
7 Orcadian (HGDP) 12.59
8 Orkney (1000 Genomes) 12.89
9 French (Dodecad) 16.68
10 French (HGDP) 16.89
11 Mixed_Germanic (Dodecad) 18.18
12 Dutch (Dodecad) 19.72
13 Balkans (Dodecad) 20.79
14 Kent (1000 Genomes) 21.84
15 Romanians_14 (Behar) 22.55
16 Swedish (Dodecad) 22.8
17 Tuscan (Henn) 23
18 Tuscan (Xing) 23.03
19 FIN (1000Genomes) 23.2
20 TSI (HapMap) 23.27

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73.2% German (Dodecad) + 26.8% Romanians_14 (Behar) @ 1.21
2 65.4% Slovenian (Xing) + 34.6% CEU (HapMap) @ 1.31
3 77.7% Slovenian (Xing) + 22.3% Dutch (Dodecad) @ 1.52
4 79.5% Slovenian (Xing) + 20.5% Kent (1000 Genomes) @ 1.56
5 52.5% Romanians_14 (Behar) + 47.5% Norwegian (Dodecad) @ 1.58
6 81.2% Slovenian (Xing) + 18.8% Cornwall (1000 Genomes) @ 1.61
7 50.3% Romanians_14 (Behar) + 49.7% Swedish (Dodecad) @ 1.62
8 69% Slovenian (Xing) + 31% Orcadian (HGDP) @ 1.65
9 80.9% Slovenian (Xing) + 19.1% British (Dodecad) @ 1.68
10 69.6% Slovenian (Xing) + 30.4% Orkney (1000 Genomes) @ 1.73
11 66.6% Slovenian (Xing) + 33.4% N._European (Xing) @ 1.75
12 76.4% Slovenian (Xing) + 23.6% Mixed_Germanic (Dodecad) @ 1.75
13 80.8% Slovenian (Xing) + 19.2% British_Isles (Dodecad) @ 1.79
14 65.1% N._European (Xing) + 34.9% Balkans (Dodecad) @ 1.8
15 64.3% Hungarians (Behar) + 35.7% Mixed_Germanic (Dodecad) @ 1.8
16 67.8% Slovenian (Xing) + 32.2% Argyll (1000 Genomes) @ 1.82
17 54.6% Balkans (Dodecad) + 45.4% Norwegian (Dodecad) @ 1.92
18 82.6% Slovenian (Xing) + 17.4% Irish (Dodecad) @ 2.01
19 52.5% Hungarians (Behar) + 47.5% N._European (Xing) @ 2.02
20 63.9% Argyll (1000 Genomes) + 36.1% Balkans (Dodecad) @ 2.03

[TheMaestro]

Using 1 population approximation:
1 Romanians_14_Behar @ 11.290937
2 Balkans_Dodecad @ 12.735953
3 Slovenian_Xing @ 13.351872
4 Hungarians_Behar @ 13.998352
5 Tuscan_Xing @ 16.256830
6 Tuscan_Henn @ 16.918043
7 TSI_HapMap @ 17.139656
8 N_Italian_Dodecad @ 20.563017
9 O_Italian_Dodecad @ 20.923664
10 Ashkenazy_Jews_Behar @ 21.504276
11 Ashkenazi_Dodecad @ 23.307796
12 Tuscan_HGDP @ 24.273647
13 C_Italian_Dodecad @ 24.601538
14 German_Dodecad @ 24.956060
15 Greek_Dodecad @ 25.601896
16 North_Italian_HGDP @ 25.859768
17 CEU_HapMap @ 25.928022
18 N._European_Xing @ 26.604162
19 Argyll_1000 Genomes @ 27.492659
20 French_HGDP @ 27.496220


Scheisse

[Congolese Rice]

Roughly 1/4 or so from my dad's side :D


for my dodecad V3:


Least-squares method.

Using 1 population approximation:
1 Slovenian_Xing @ 24.152166
2 N._European_Xing @ 25.728615
3 German_Dodecad @ 25.810038
4 CEU_HapMap @ 26.647373
5 Argyll_1000 Genomes @ 27.086418
6 Hungarians_Behar @ 27.212490
7 Orcadian_HGDP @ 27.867130
8 Orkney_1000 Genomes @ 27.903755
9 Mixed_Germanic_Dodecad @ 30.283049
10 French_HGDP @ 30.301464
11 French_Dodecad @ 30.485781
12 Dutch_Dodecad @ 31.618868
13 Tuscan_Xing @ 32.605713
14 Tuscan_Henn @ 32.927879
15 TSI_HapMap @ 33.308243
16 Kent_1000 Genomes @ 33.451576
17 Balkans_Dodecad @ 33.962631
18 Swedish_Dodecad @ 34.066845
19 FIN_1000Genomes @ 34.394489
20 Romanians_14_Behar @ 34.663609


i guess close(r) than most other european populations ???? still a huge oracle.

[TheMaestro]

Roughly 1/4 or so from my dad's side :D


for my dodecad V3:


Least-squares method.

Using 1 population approximation:
1 Slovenian_Xing @ 24.152166
2 N._European_Xing @ 25.728615
3 German_Dodecad @ 25.810038
4 CEU_HapMap @ 26.647373
5 Argyll_1000 Genomes @ 27.086418
6 Hungarians_Behar @ 27.212490
7 Orcadian_HGDP @ 27.867130
8 Orkney_1000 Genomes @ 27.903755
9 Mixed_Germanic_Dodecad @ 30.283049
10 French_HGDP @ 30.301464
11 French_Dodecad @ 30.485781
12 Dutch_Dodecad @ 31.618868
13 Tuscan_Xing @ 32.605713
14 Tuscan_Henn @ 32.927879
15 TSI_HapMap @ 33.308243
16 Kent_1000 Genomes @ 33.451576
17 Balkans_Dodecad @ 33.962631
18 Swedish_Dodecad @ 34.066845
19 FIN_1000Genomes @ 34.394489
20 Romanians_14_Behar @ 34.663609


i guess close(r) than most other european populations ???? still a huge oracle.

Just shows how this calc. is irellevant. Dude you are white xD

[Congolese Rice]

btw you are german as FUCK, how the hell.

[Gründig]

If it even appears on your list in Dodecad V3

# Population (source) Distance
1 German (Dodecad) 4.29
2 CEU (HapMap) 6.12
3 N._European (Xing) 6.36
4 Argyll (1000 Genomes) 6.68
5 Orcadian (HGDP) 7.58
6 Orkney (1000 Genomes) 7.84
7 Slovenian (Xing) 10.74
8 Mixed_Germanic (Dodecad) 13.1
9 French (HGDP) 14.35
10 French (Dodecad) 14.42
11 Dutch (Dodecad) 14.71
12 Hungarians (Behar) 15.09
13 Kent (1000 Genomes) 16.78
14 Swedish (Dodecad) 18.12
15 British_Isles (Dodecad) 18.33
16 British (Dodecad) 18.64
17 Cornwall (1000 Genomes) 19.27
18 Norwegian (Dodecad) 20.01
19 Irish (Dodecad) 21.08
20 FIN (1000Genomes) 22.34

What is your K13 oracle?

[happycow]

I get 4.5% German in mixed mode on this calculator.

[Congolese Rice]

Just shows how this calc. is irellevant. Dude you are white xD

XD i know im white, my dad's white so its obvious. pretty much all tests are inconsistent for me, dodecad tests give me more mediterranean, eurogenes gives me more northwestern euro, mdlp gives me puerto rican and dominican and ashkenazi, also alot of tatar, puntDNAL gives me tons of mediterranean aswell, sometimes ashkenazi too. gedrosia gives me alot of levantine, arabian, and maghrebi pops. which is probably better for my mena side lol.

gedmatch can be weird for me tbh

[Marmara]

I'm 100% German lan amk.

[Congolese Rice]

I get 4.5% German in mixed mode on this calculator.

#germani genggg XDD

[Congolese Rice]

I'm 100% German lan amk.

holy shit lan, that is very high


all hail the aryan overlord

[happycow]

#germani genggg XDD

I knew there was a reason that I'm drawn to 70's German Krautrock

[Congolese Rice]

I knew there was a reason that I'm drawn to 70's German Krautrock

theres an explanation for everythin my fren


XDDDDDDDDD

[Kivan]

14.88%

[Marmara]

holy shit lan, that is very high


all hail the aryan overlord

Not at all, that was all the past.

We heil Allah now.

[Congolese Rice]

Not at all, that was all the past.

We heil Allah now.

ok thats true, allah is the only true overlord


xd

[Chaos One]

Well...0.

Using 1 population approximation:
1 Tuscan_Xing @ 18.683205
2 Tuscan_Henn @ 19.671864
3 Ashkenazy_Jews_Behar @ 19.879911
4 TSI_HapMap @ 20.113693
5 Ashkenazi_Dodecad @ 21.409338
6 O_Italian_Dodecad @ 21.687231
7 Romanians_14_Behar @ 22.579916
8 Morocco_Jews_Behar @ 24.493542
9 C_Italian_Dodecad @ 24.559902
10 N_Italian_Dodecad @ 24.587570
11 Tuscan_HGDP @ 25.463659
12 Balkans_Dodecad @ 25.581141
13 Slovenian_Xing @ 26.546040
14 S_Italian_Sicilian_Dodecad @ 27.181553
15 Greek_Dodecad @ 27.514769
16 Hungarians_Behar @ 27.809200
17 Sicilian_Dodecad @ 27.837891
18 Portuguese_Dodecad @ 28.055208
19 North_Italian_HGDP @ 28.337723
20 S_Italian_Dodecad @ 30.024855

[Ryujin]

%100 German in a bavarian biergarten

[Teutonski]

btw you are german as FUCK, how the hell.

Maybe because I am German mate

[Teutonski]

What is your K13 oracle?

puntDNAL K13 Oracle

Admix Results (sorted):

# Population Percent
1 NE_Europe 50.59
2 SW_Europe 32.37
3 West_Asia 10.49
4 SW_Asia 2.34
5 West_Africa 1.40
6 South_Asia 1.03
7 Americas 1.02


Finished reading population data. 191 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 German_North @ 2.897813
2 Irish @ 3.989706
3 Utahn_European @ 4.083415
4 Orcadian @ 4.487978
5 Scottish @ 4.595884
6 Slovak @ 4.615687
7 English @ 5.059788
8 Slovene @ 5.533342
9 Ukrainian @ 5.546933
10 Norwegian @ 5.604166
11 Hungarian @ 5.926403
12 German_South @ 7.590827
13 Swedish @ 7.767871
14 Belgian @ 8.099943
15 Croatian @ 8.814685
16 Moldavian @ 9.797891
17 Belarusian @ 10.715061
18 Bosnian @ 10.952374
19 French @ 12.236548
20 Serbian @ 14.606778

Using 2 populations approximation:
1 50% Scottish +50% Ukrainian @ 2.336652


Using 3 populations approximation:
1 50% Norwegian +25% Norwegian +25% Serbian @ 2.170335


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 Moldavian + Norwegian + Norwegian + Scottish @ 2.016510
2 Irish + Moldavian + Norwegian + Norwegian @ 2.074778
3 Moldavian + Norwegian + Norwegian + Orcadian @ 2.080280
4 Moldavian + Norwegian + Norwegian + Utahn_European @ 2.093620
5 English + Moldavian + Norwegian + Norwegian @ 2.104112
6 Moldavian + Norwegian + Scottish + Swedish @ 2.155357
7 Norwegian + Norwegian + Norwegian + Serbian @ 2.170335
8 Norwegian + Scottish + Slovak + Slovak @ 2.171304
9 Norwegian + Norwegian + Norwegian + Romanian @ 2.180066
10 Norwegian + Norwegian + Romanian + Swedish @ 2.189654
11 German_North + Moldavian + Norwegian + Utahn_European @ 2.199007
12 Belarusian + Norwegian + Scottish + Serbian @ 2.199887
13 Irish + Norwegian + Slovak + Slovak @ 2.203262
14 Scottish + Slovak + Ukrainian + Utahn_European @ 2.205402
15 German_North + Irish + Moldavian + Norwegian @ 2.206865
16 Norwegian + Orcadian + Slovak + Slovak @ 2.208444
17 Belarusian + Irish + Moldavian + Scottish @ 2.210893
18 Belarusian + Moldavian + Orcadian + Scottish @ 2.210893
19 German_South + Norwegian + Slovak + Ukrainian @ 2.212256
20 Belarusian + German_South + Scottish + Slovak @ 2.215078

Done.

[Senpai]

1 N._European_Xing @ 3.676882
2 CEU_HapMap @ 4.464107
3 Argyll_1000 Genomes @ 4.722081
4 German_Dodecad @ 5.731763
5 Orcadian_HGDP @ 5.884048
6 Orkney_1000 Genomes @ 6.041890
7 Mixed_Germanic_Dodecad @ 11.068327
8 Dutch_Dodecad @ 12.821063
9 French_HGDP @ 13.974650
10 French_Dodecad @ 14.384354
11 Kent_1000 Genomes @ 15.174002
12 Slovenian_Xing @ 15.559046
13 British_Isles_Dodecad @ 16.912018
14 British_Dodecad @ 17.186514
15 Cornwall_1000 Genomes @ 17.863735
16 Swedish_Dodecad @ 17.936974
17 Norwegian_Dodecad @ 19.540920
18 Irish_Dodecad @ 19.941916
19 Hungarians_Behar @ 20.488052
20 FIN_1000Genomes @ 25.391224

[Profileid]

Almost as German as you ;)

1 CEU (HapMap) 3.58
2 Argyll (1000 Genomes) 4.1
3 N._European (Xing) 4.17
4 German (Dodecad) 4.65
5 Orcadian (HGDP) 4.9
6 Orkney (1000 Genomes) 5.14
7 Mixed_Germanic (Dodecad) 10.79
8 Dutch (Dodecad) 12.05
9 French (HGDP) 12.47
10 French (Dodecad) 12.63
11 Slovenian (Xing) 13.59
12 Kent (1000 Genomes) 14.13
13 British_Isles (Dodecad) 15.72
14 British (Dodecad) 15.99
15 Cornwall (1000 Genomes) 16.64
16 Swedish (Dodecad) 16.68
17 Hungarians (Behar) 17.76
18 Norwegian (Dodecad) 18.11
19 Irish (Dodecad) 18.53
20 FIN (1000Genomes) 23.11

[Gründig]

puntDNAL K13 Oracle

Admix Results (sorted):

# Population Percent
1 NE_Europe 50.59
2 SW_Europe 32.37
3 West_Asia 10.49
4 SW_Asia 2.34
5 West_Africa 1.40
6 South_Asia 1.03
7 Americas 1.02


Finished reading population data. 191 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 German_North @ 2.897813
2 Irish @ 3.989706
3 Utahn_European @ 4.083415
4 Orcadian @ 4.487978
5 Scottish @ 4.595884
6 Slovak @ 4.615687
7 English @ 5.059788
8 Slovene @ 5.533342
9 Ukrainian @ 5.546933
10 Norwegian @ 5.604166
11 Hungarian @ 5.926403
12 German_South @ 7.590827
13 Swedish @ 7.767871
14 Belgian @ 8.099943
15 Croatian @ 8.814685
16 Moldavian @ 9.797891
17 Belarusian @ 10.715061
18 Bosnian @ 10.952374
19 French @ 12.236548
20 Serbian @ 14.606778

Using 2 populations approximation:
1 50% Scottish +50% Ukrainian @ 2.336652


Using 3 populations approximation:
1 50% Norwegian +25% Norwegian +25% Serbian @ 2.170335


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 Moldavian + Norwegian + Norwegian + Scottish @ 2.016510
2 Irish + Moldavian + Norwegian + Norwegian @ 2.074778
3 Moldavian + Norwegian + Norwegian + Orcadian @ 2.080280
4 Moldavian + Norwegian + Norwegian + Utahn_European @ 2.093620
5 English + Moldavian + Norwegian + Norwegian @ 2.104112
6 Moldavian + Norwegian + Scottish + Swedish @ 2.155357
7 Norwegian + Norwegian + Norwegian + Serbian @ 2.170335
8 Norwegian + Scottish + Slovak + Slovak @ 2.171304
9 Norwegian + Norwegian + Norwegian + Romanian @ 2.180066
10 Norwegian + Norwegian + Romanian + Swedish @ 2.189654
11 German_North + Moldavian + Norwegian + Utahn_European @ 2.199007
12 Belarusian + Norwegian + Scottish + Serbian @ 2.199887
13 Irish + Norwegian + Slovak + Slovak @ 2.203262
14 Scottish + Slovak + Ukrainian + Utahn_European @ 2.205402
15 German_North + Irish + Moldavian + Norwegian @ 2.206865
16 Norwegian + Orcadian + Slovak + Slovak @ 2.208444
17 Belarusian + Irish + Moldavian + Scottish @ 2.210893
18 Belarusian + Moldavian + Orcadian + Scottish @ 2.210893
19 German_South + Norwegian + Slovak + Ukrainian @ 2.212256
20 Belarusian + German_South + Scottish + Slovak @ 2.215078

Done.

Interesting but whoops, I meant K13 eurogenes with the basic oracle (not 4way).

[Teutonski]

Interesting but whoops, I ment K13 eurogenes

Oh my bad.

here:

K13 Oracle ref data revised 21 Nov 2013

Admix Results (sorted):

# Population Percent
1 North_Atlantic 44.53
2 Baltic 27.93
3 West_Med 11.62
4 West_Asian 9.25
5 East_Med 4.43
6 Red_Sea 1.04


Finished reading population data. 204 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 North_German @ 3.970526
2 Danish @ 7.144774
3 North_Dutch @ 7.146284
4 Swedish @ 7.705730
5 West_German @ 8.145841
6 Norwegian @ 8.322192
7 South_Dutch @ 8.407866
8 Orcadian @ 9.187534
9 Austrian @ 9.268178
10 Southeast_English @ 9.435848
11 East_German @ 9.706859
12 Irish @ 9.715201
13 West_Scottish @ 10.903099
14 Southwest_English @ 11.162557
15 North_Swedish @ 12.149819
16 Hungarian @ 14.204803
17 French @ 15.247638
18 Southwest_Finnish @ 19.710711
19 Croatian @ 20.104565
20 South_Polish @ 20.121244

Using 2 populations approximation:
1 50% Austrian +50% Norwegian @ 3.368613


Using 3 populations approximation:
1 50% Irish +25% Moldavian +25% North_German @ 2.634546


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++
1 Irish + Moldavian + North_German + Norwegian @ 2.612917
2 Austrian + North_German + North_German + North_German @ 2.616663
3 Irish + Moldavian + North_Dutch + North_German @ 2.624033
4 Irish + Irish + Moldavian + North_German @ 2.634546
5 Irish + Moldavian + North_Dutch + North_Dutch @ 2.669490
6 Irish + Moldavian + North_Dutch + Norwegian @ 2.680771
7 Moldavian + North_German + Norwegian + West_Scottish @ 2.688673
8 Hungarian + Irish + North_German + North_German @ 2.702017
9 Moldavian + North_Dutch + North_German + West_Scottish @ 2.725824
10 Danish + Irish + Moldavian + North_Dutch @ 2.770803
11 Moldavian + North_Dutch + North_Dutch + North_Dutch @ 2.789446
12 Irish + Moldavian + North_German + West_Scottish @ 2.792459
13 Croatian + Irish + Irish + North_German @ 2.793048
14 Croatian + Irish + North_Dutch + North_German @ 2.799134
15 Danish + Irish + Moldavian + North_German @ 2.817013
16 Danish + Irish + Moldavian + Norwegian @ 2.828264
17 Moldavian + North_Dutch + North_Dutch + Norwegian @ 2.853946
18 Irish + Irish + Moldavian + Norwegian @ 2.857337
19 Norwegian + Norwegian + Norwegian + Romanian @ 2.862543
20 Moldavian + North_Dutch + North_Dutch + West_Scottish @ 2.870590

Done.

[Bogdan]

# Population (source) Distance
1 German (Dodecad) 6.87
2 CEU (HapMap) 7.11
3 N._European (Xing) 8.16
4 Argyll (1000 Genomes) 8.72
5 Orcadian (HGDP) 9.12
6 Orkney (1000 Genomes) 9.47
7 Slovenian (Xing) 9.94
8 French (Dodecad) 12.65
9 French (HGDP) 12.87
10 Hungarians (Behar) 13.93
11 Mixed_Germanic (Dodecad) 14.95
12 Dutch (Dodecad) 16.19
13 Kent (1000 Genomes) 18.31
14 British_Isles (Dodecad) 20.01
15 British (Dodecad) 20.19
16 Cornwall (1000 Genomes) 20.81
17 Swedish (Dodecad) 20.95
18 Portuguese (Dodecad) 22.16
19 Norwegian (Dodecad) 22.56
20 N_Italian (Dodecad) 22.68

[Kess]

puntDNAL K13 Oracle

Admix Results (sorted):

# Population Percent
1 NE_Europe 50.59
2 SW_Europe 32.37
3 West_Asia 10.49
4 SW_Asia 2.34
5 West_Africa 1.40
6 South_Asia 1.03
7 Americas 1.02


Finished reading population data. 191 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 German_North @ 2.897813
2 Irish @ 3.989706
3 Utahn_European @ 4.083415
4 Orcadian @ 4.487978
5 Scottish @ 4.595884
6 Slovak @ 4.615687
7 English @ 5.059788
8 Slovene @ 5.533342
9 Ukrainian @ 5.546933
10 Norwegian @ 5.604166
11 Hungarian @ 5.926403
12 German_South @ 7.590827
13 Swedish @ 7.767871
14 Belgian @ 8.099943
15 Croatian @ 8.814685
16 Moldavian @ 9.797891
17 Belarusian @ 10.715061
18 Bosnian @ 10.952374
19 French @ 12.236548
20 Serbian @ 14.606778

Using 2 populations approximation:
1 50% Scottish +50% Ukrainian @ 2.336652


Using 3 populations approximation:
1 50% Norwegian +25% Norwegian +25% Serbian @ 2.170335


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 Moldavian + Norwegian + Norwegian + Scottish @ 2.016510
2 Irish + Moldavian + Norwegian + Norwegian @ 2.074778
3 Moldavian + Norwegian + Norwegian + Orcadian @ 2.080280
4 Moldavian + Norwegian + Norwegian + Utahn_European @ 2.093620
5 English + Moldavian + Norwegian + Norwegian @ 2.104112
6 Moldavian + Norwegian + Scottish + Swedish @ 2.155357
7 Norwegian + Norwegian + Norwegian + Serbian @ 2.170335
8 Norwegian + Scottish + Slovak + Slovak @ 2.171304
9 Norwegian + Norwegian + Norwegian + Romanian @ 2.180066
10 Norwegian + Norwegian + Romanian + Swedish @ 2.189654
11 German_North + Moldavian + Norwegian + Utahn_European @ 2.199007
12 Belarusian + Norwegian + Scottish + Serbian @ 2.199887
13 Irish + Norwegian + Slovak + Slovak @ 2.203262
14 Scottish + Slovak + Ukrainian + Utahn_European @ 2.205402
15 German_North + Irish + Moldavian + Norwegian @ 2.206865
16 Norwegian + Orcadian + Slovak + Slovak @ 2.208444
17 Belarusian + Irish + Moldavian + Scottish @ 2.210893
18 Belarusian + Moldavian + Orcadian + Scottish @ 2.210893
19 German_South + Norwegian + Slovak + Ukrainian @ 2.212256
20 Belarusian + German_South + Scottish + Slovak @ 2.215078

Done.

How you are get 1.02 Americas

[Teutonski]

How you are get 1.02 Americas

I guess an Error

[Mortimer]

Im zero german as far as I know.

Single Population Sharing:

# Population (source) Distance
1 Romanians_14 (Behar) 16.75
2 Ashkenazy_Jews (Behar) 18.01
3 Balkans (Dodecad) 19.38
4 Ashkenazi (Dodecad) 19.57
5 Tuscan (Xing) 19.78
6 Tuscan (Henn) 20.7
7 TSI (HapMap) 21.14
8 Slovenian (Xing) 22.85
9 O_Italian (Dodecad) 22.98
10 Stalskoe (Xing) 23.03
11 Hungarians (Behar) 23.16
12 Morocco_Jews (Behar) 23.58
13 Greek (Dodecad) 23.65
14 C_Italian (Dodecad) 24.37
15 S_Italian_Sicilian (Dodecad) 25.69
16 N_Italian (Dodecad) 26.4
17 Tuscan (HGDP) 26.55
18 Sicilian (Dodecad) 26.66
19 Uzbekistan_Jews (Behar) 26.82
20 Turkish (Dodecad) 27.36

[Smeagol]

1/8.

[Gründig]

Oh my bad.

here:

K13 Oracle ref data revised 21 Nov 2013

Admix Results (sorted):

# Population Percent
1 North_Atlantic 44.53
2 Baltic 27.93
3 West_Med 11.62
4 West_Asian 9.25
5 East_Med 4.43
6 Red_Sea 1.04


Finished reading population data. 204 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 North_German @ 3.970526
2 Danish @ 7.144774
3 North_Dutch @ 7.146284
4 Swedish @ 7.705730
5 West_German @ 8.145841
6 Norwegian @ 8.322192
7 South_Dutch @ 8.407866
8 Orcadian @ 9.187534
9 Austrian @ 9.268178
10 Southeast_English @ 9.435848
11 East_German @ 9.706859
12 Irish @ 9.715201
13 West_Scottish @ 10.903099
14 Southwest_English @ 11.162557
15 North_Swedish @ 12.149819
16 Hungarian @ 14.204803
17 French @ 15.247638
18 Southwest_Finnish @ 19.710711
19 Croatian @ 20.104565
20 South_Polish @ 20.121244

Using 2 populations approximation:
1 50% Austrian +50% Norwegian @ 3.368613


Using 3 populations approximation:
1 50% Irish +25% Moldavian +25% North_German @ 2.634546


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++
1 Irish + Moldavian + North_German + Norwegian @ 2.612917
2 Austrian + North_German + North_German + North_German @ 2.616663
3 Irish + Moldavian + North_Dutch + North_German @ 2.624033
4 Irish + Irish + Moldavian + North_German @ 2.634546
5 Irish + Moldavian + North_Dutch + North_Dutch @ 2.669490
6 Irish + Moldavian + North_Dutch + Norwegian @ 2.680771
7 Moldavian + North_German + Norwegian + West_Scottish @ 2.688673
8 Hungarian + Irish + North_German + North_German @ 2.702017
9 Moldavian + North_Dutch + North_German + West_Scottish @ 2.725824
10 Danish + Irish + Moldavian + North_Dutch @ 2.770803
11 Moldavian + North_Dutch + North_Dutch + North_Dutch @ 2.789446
12 Irish + Moldavian + North_German + West_Scottish @ 2.792459
13 Croatian + Irish + Irish + North_German @ 2.793048
14 Croatian + Irish + North_Dutch + North_German @ 2.799134
15 Danish + Irish + Moldavian + North_German @ 2.817013
16 Danish + Irish + Moldavian + Norwegian @ 2.828264
17 Moldavian + North_Dutch + North_Dutch + Norwegian @ 2.853946
18 Irish + Irish + Moldavian + Norwegian @ 2.857337
19 Norwegian + Norwegian + Norwegian + Romanian @ 2.862543
20 Moldavian + North_Dutch + North_Dutch + West_Scottish @ 2.870590

Done.

Cool. You're more northern German than me. I tend to be primairly western/southern German with smaller amounts of northern on most calculators.

[kleenex]

My wife:
BTW she wishes she were a Med.
# Population (source) Distance
1 German (Dodecad) 3.93
2 CEU (HapMap) 7.21
3 Argyll (1000 Genomes) 7.83
4 N._European (Xing) 8.08
5 Orcadian (HGDP) 8.18
6 Orkney (1000 Genomes) 8.37
7 Slovenian (Xing) 11.51
8 Hungarians (Behar) 14.84
9 Mixed_Germanic (Dodecad) 14.9
10 French (Dodecad) 14.95
11 French (HGDP) 15.44
12 Dutch (Dodecad) 15.8
13 Kent (1000 Genomes) 17.72
14 Swedish (Dodecad) 17.91
15 British_Isles (Dodecad) 19.07
16 British (Dodecad) 19.43
17 Norwegian (Dodecad) 19.88
18 Cornwall (1000 Genomes) 20.21
19 FIN (1000Genomes) 20.43
20 Irish (Dodecad) 21.8

[Norb]

If it even appears on your list in Dodecad V3

# Population (source) Distance
1 German (Dodecad) 4.29
2 CEU (HapMap) 6.12
3 N._European (Xing) 6.36
4 Argyll (1000 Genomes) 6.68
5 Orcadian (HGDP) 7.58
6 Orkney (1000 Genomes) 7.84
7 Slovenian (Xing) 10.74
8 Mixed_Germanic (Dodecad) 13.1
9 French (HGDP) 14.35
10 French (Dodecad) 14.42
11 Dutch (Dodecad) 14.71
12 Hungarians (Behar) 15.09
13 Kent (1000 Genomes) 16.78
14 Swedish (Dodecad) 18.12
15 British_Isles (Dodecad) 18.33
16 British (Dodecad) 18.64
17 Cornwall (1000 Genomes) 19.27
18 Norwegian (Dodecad) 20.01
19 Irish (Dodecad) 21.08
20 FIN (1000Genomes) 22.34


# Population (source) Distance
1 CEU (HapMap) 3.23
2 Orcadian (HGDP) 4.93
3 Orkney (1000 Genomes) 5.38
4 Argyll (1000 Genomes) 5.43
5 N._European (Xing) 5.71
6 French (HGDP) 7.84
7 French (Dodecad) 8.22
8 German (Dodecad) 8.72
9 Mixed_Germanic (Dodecad) 9.87
10 Dutch (Dodecad) 10.57
11 Kent (1000 Genomes) 12.57
12 British_Isles (Dodecad) 14.48
13 British (Dodecad) 14.54
14 Cornwall (1000 Genomes) 15.05
15 Slovenian (Xing) 16.56
16 Irish (Dodecad) 17.54
17 Swedish (Dodecad) 18.76
18 French_Basque (HGDP) 19.14
19 Norwegian (Dodecad) 19.3
20 Hungarians (Behar) 20.48

[Grace O'Malley]

I've got no German ancestry but this calc puts me much closer to German than Irish. Dodecad is not very accurate for me. Some calcs are better with certain populations than others but I'm always quite distant to Irish on Dodecad. I think Dodecad doesn't work very well for Irish or Brits. Getting Argyll and Orcadian is fine but it doesn't make sense where Irish, British Isles, British and Cornish place on this calculator in relation to the Scottish regions.

Admix Results (sorted):

# Population Percent
1 West_European 55.75
2 Mediterranean 22.7
3 East_European 12.84
4 West_Asian 7.79
5 Southwest_Asian 0.44
6 Northeast_Asian 0.33
7 South_Asian 0.15

Single Population Sharing:

# Population (source) Distance
1 Argyll (1000 Genomes) 1.47
2 Orkney (1000 Genomes) 2.56
3 Orcadian (HGDP) 2.63
4 N._European (Xing) 2.92
5 CEU (HapMap) 3.59
6 German (Dodecad) 4.88
7 Mixed_Germanic (Dodecad) 7.83
8 Dutch (Dodecad) 9.17
9 Kent (1000 Genomes) 11.04
10 British_Isles (Dodecad) 12.39
11 British (Dodecad) 12.81
12 Swedish (Dodecad) 12.81
13 French (HGDP) 13.51
14 Cornwall (1000 Genomes) 13.51
15 French (Dodecad) 13.82
16 Norwegian (Dodecad) 14.12
17 Irish (Dodecad) 15.06
18 Slovenian (Xing) 16.83
19 Hungarians (Behar) 20.99
20 FIN (1000Genomes) 22.14

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96.2% Argyll (1000 Genomes) + 3.8% Finnish (Dodecad) @ 0.78
2 94.7% Argyll (1000 Genomes) + 5.3% FIN (1000Genomes) @ 0.78
3 97.9% Argyll (1000 Genomes) + 2.1% Lithuanian (Dodecad) @ 0.94
4 97.8% Argyll (1000 Genomes) + 2.2% Lithuanians (Behar) @ 0.94
5 81.3% Argyll (1000 Genomes) + 18.7% German (Dodecad) @ 0.98
6 97.6% Argyll (1000 Genomes) + 2.4% Russian (HGDP) @ 1.03
7 97.9% Argyll (1000 Genomes) + 2.1% Belorussian (Behar) @ 1.09
8 97.3% Argyll (1000 Genomes) + 2.7% Polish (Dodecad) @ 1.1
9 97.4% Argyll (1000 Genomes) + 2.6% Mixed_Slav (Dodecad) @ 1.12
10 62% German (Dodecad) + 38% Mixed_Germanic (Dodecad) @ 1.17
11 98.4% Argyll (1000 Genomes) + 1.6% Chuvashs_16 (Behar) @ 1.24
12 94.3% Argyll (1000 Genomes) + 5.7% Swedish (Dodecad) @ 1.25
13 79.7% Dutch (Dodecad) + 20.3% Mixed_Slav (Dodecad) @ 1.26
14 69.9% German (Dodecad) + 30.1% Kent (1000 Genomes) @ 1.26
15 58.3% Irish (Dodecad) + 41.7% Hungarians (Behar) @ 1.26
16 93.2% Orcadian (HGDP) + 6.8% Finnish (Dodecad) @ 1.27
17 65.8% German (Dodecad) + 34.2% Dutch (Dodecad) @ 1.29
18 93.5% Orkney (1000 Genomes) + 6.5% Finnish (Dodecad) @ 1.35
19 79.4% Dutch (Dodecad) + 20.6% Polish (Dodecad) @ 1.36
20 97.6% Argyll (1000 Genomes) + 2.4% Hungarians (Behar) @ 1.38

[GreentheViper]

# Population (source) Distance
1 Slovenian (Xing) 24.88
2 Hungarians (Behar) 26.61
3 German (Dodecad) 27.05
4 N._European (Xing) 27.25
5 CEU (HapMap) 28.03
6 Argyll (1000 Genomes) 28.17
7 Orcadian (HGDP) 28.95
8 Orkney (1000 Genomes) 28.96
9 FIN (1000Genomes) 29.83
10 French (HGDP) 31.31
11 French (Dodecad) 31.32
12 Mixed_Germanic (Dodecad) 31.59
13 Balkans (Dodecad) 32.19
14 Dutch (Dodecad) 32.55
15 Romanians_14 (Behar) 32.73
16 Tuscan (Xing) 32.88
17 Tuscan (Henn) 33.37
18 TSI (HapMap) 33.69
19 Finnish (Dodecad) 33.83
20 Swedish (Dodecad) 33.97

[Gründig]

I've got no German ancestry but this calc puts me much closer to German than Irish. Dodecad is not very accurate. Some calcs are better with certain populations than others but I'm always quite distant to Irish on Dodecad. I think Dodecad doesn't work very well for Irish or Brits. Getting Argyll and Orcadian is fine but it doesn't make sense where Irish, British Isles, British and Cornish place on this calculator in relation to the Scottish regions.



I agree.
Dodecad is accurate to an extent with me but overall not so much.

[Moje ime]

1 Slovenian (Xing) 7.8
2 Hungarians (Behar) 8.91
3 Balkans (Dodecad) 12.22
4 Romanians_14 (Behar) 12.76
5 Tuscan (Xing) 17.13
6 Tuscan (Henn) 17.49
7 TSI (HapMap) 17.83
8 German (Dodecad) 18.46
9 N_Italian (Dodecad) 19.82
10 CEU (HapMap) 19.92
11 N._European (Xing) 20.53
12 Argyll (1000 Genomes) 21.3
13 O_Italian (Dodecad) 21.72
14 Orcadian (HGDP) 21.95
15 Orkney (1000 Genomes) 22.3
16 French (Dodecad) 22.37
17 French (HGDP) 22.56
18 Ashkenazy_Jews (Behar) 22.72
19 Ashkenazi (Dodecad) 24.39
20 Tuscan (HGDP) 24.54

[TheMaestro]

My wife:
BTW she wishes she were a Med.
# Population (source) Distance
1 German (Dodecad) 3.93
2 CEU (HapMap) 7.21
3 Argyll (1000 Genomes) 7.83
4 N._European (Xing) 8.08
5 Orcadian (HGDP) 8.18
6 Orkney (1000 Genomes) 8.37
7 Slovenian (Xing) 11.51
8 Hungarians (Behar) 14.84
9 Mixed_Germanic (Dodecad) 14.9
10 French (Dodecad) 14.95
11 French (HGDP) 15.44
12 Dutch (Dodecad) 15.8
13 Kent (1000 Genomes) 17.72
14 Swedish (Dodecad) 17.91
15 British_Isles (Dodecad) 19.07
16 British (Dodecad) 19.43
17 Norwegian (Dodecad) 19.88
18 Cornwall (1000 Genomes) 20.21
19 FIN (1000Genomes) 20.43
20 Irish (Dodecad) 21.8

You are pretty northern-shifted for a Greek grill.

[Grace O'Malley]

You are pretty northern-shifted for a Greek grill.

That's his wife and they aren't Greek looking at that Oracle.

[Brás Garcia de Mascarenhas]

On mine no German population shows up, being presumably the CEU sample the closest (Northern Europeans from Utah) since it is Teutone's second closest population after Germans:

# Population (source) Distance
1 Tuscan (Henn) 11.47
2 Portuguese (Dodecad) 11.64
3 Tuscan (Xing) 11.72
4 N_Italian (Dodecad) 11.74
5 TSI (HapMap) 12.08
6 IBS (1000Genomes) 15.01
7 O_Italian (Dodecad) 15.44
8 North_Italian (HGDP) 15.64
9 Spanish (Dodecad) 15.67
10 Spaniards (Behar) 15.86
11 French (Dodecad) 16.38
12 French (HGDP) 16.64
13 Tuscan (HGDP) 17.58
14 Slovenian (Xing) 18.95
15 CEU (HapMap) 20.28
16 C_Italian (Dodecad) 20.55
17 Ashkenazy_Jews (Behar) 20.72
18 Hungarians (Behar) 20.83
19 Romanians_14 (Behar) 20.92
20 Sardinian (HGDP) 21.11


My girlfriend:


Using 1 population approximation:
1 Portuguese_Dodecad @ 12.667297
2 French_Dodecad @ 16.289471
3 French_HGDP @ 16.564432
4 N_Italian_Dodecad @ 16.929058
5 Tuscan_Henn @ 17.284632
6 IBS_1000Genomes @ 17.291368
7 Tuscan_Xing @ 17.624924
8 Spanish_Dodecad @ 17.823139
9 Spaniards_Behar @ 17.884403
10 TSI_HapMap @ 17.893839
11 CEU_HapMap @ 20.244232
12 North_Italian_HGDP @ 20.646921
13 Slovenian_Xing @ 21.159811
14 N._European_Xing @ 21.358387
15 O_Italian_Dodecad @ 21.912609
16 Orcadian_HGDP @ 22.463415
17 French_Basque_HGDP @ 22.494366
18 Argyll_1000 Genomes @ 22.589964
19 Orkney_1000 Genomes @ 22.774151
20 German_Dodecad @ 22.985439

[Dick]

1 Slovenian (Xing) 7.32
2 Hungarians (Behar) 8.57
3 Balkans (Dodecad) 12.6
4 Romanians_14 (Behar) 13.57
5 German (Dodecad) 18.38
6 Tuscan (Xing) 18.38
7 Tuscan (Henn) 18.69
8 TSI (HapMap) 19.18
9 CEU (HapMap) 20.38
10 N._European (Xing) 20.66
11 Argyll (1000 Genomes) 21.62
12 N_Italian (Dodecad) 21.7
13 Orcadian (HGDP) 22.36
14 Orkney (1000 Genomes) 22.67
15 Ashkenazy_Jews (Behar) 23.14
16 O_Italian (Dodecad) 23.21
17 French (Dodecad) 23.39
18 French (HGDP) 23.6
19 Ashkenazi (Dodecad) 24.85
20 Mixed_Slav (Dodecad) 25.27

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 55.1% C_Italian (Dodecad) + 44.9% Finnish (Dodecad) @ 1.64

[rein]

Not at all.

[rein]

Just shows how this calc. is irellevant. Dude you are white xD

Nah, he’s olive skinned and brownish when tanned.

[Congolese Rice]

Nah, he’s olive skinned and brownish when tanned.

has not much 2 do with it though XD i am pred. white yeah. i am in no position to deny that lmao

[TheMaestro]

Nah, he’s olive skinned and brownish when tanned.

That was hard sarcasm :D

[Richmondbread]

I go on ancestry rather than just the genetic results. My dad's father's family all from Germany. Came late the United States. My great grandfather was born in Saxony, and my Great Grandmother born at Pfeddersheim.
Mom's family has 1 German from Bavaria who married into another old Richmond family.

Oh well, here goes

1 German (Dodecad) 6.87
2 Slovenian (Xing) 8.11
3 N._European (Xing) 9.29
4 CEU (HapMap) 9.86
5 Argyll (1000 Genomes) 10.22
6 Orcadian (HGDP) 11.31
7 Orkney (1000 Genomes) 11.51
8 Hungarians (Behar) 12.95
9 Mixed_Germanic (Dodecad) 15.98
10 French (HGDP) 17.23
11 French (Dodecad) 17.33
12 Dutch (Dodecad) 17.81
13 Kent (1000 Genomes) 19.93
14 Swedish (Dodecad) 20.09
15 British_Isles (Dodecad) 21.42
16 British (Dodecad) 21.72
17 FIN (1000Genomes) 21.76
18 Cornwall (1000 Genomes) 22.31
19 Norwegian (Dodecad) 22.34
20 Balkans (Dodecad) 23.65

[Congolese Rice]

That was hard sarcasm :D

jup, i picked up on it kinda XDD


all my oracle distances for european populations are above @25> its quite sad really :(

all i can go by for my european ancestry is genealogy. no test is really accurate for me when it comes to my european XD

[Congolese Rice]

I go on ancestry rather than just the genetic results. My dad's father's family all from Germany. Came late the United States. My great grandfather was born in Saxony, and my Great Grandmother born at Pfeddersheim.
Mom's family has 1 German from Bavaria who married into another old Richmond family.

Oh well, here goes

1 German (Dodecad) 6.87
2 Slovenian (Xing) 8.11
3 N._European (Xing) 9.29
4 CEU (HapMap) 9.86
5 Argyll (1000 Genomes) 10.22
6 Orcadian (HGDP) 11.31
7 Orkney (1000 Genomes) 11.51
8 Hungarians (Behar) 12.95
9 Mixed_Germanic (Dodecad) 15.98
10 French (HGDP) 17.23
11 French (Dodecad) 17.33
12 Dutch (Dodecad) 17.81
13 Kent (1000 Genomes) 19.93
14 Swedish (Dodecad) 20.09
15 British_Isles (Dodecad) 21.42
16 British (Dodecad) 21.72
17 FIN (1000Genomes) 21.76
18 Cornwall (1000 Genomes) 22.31
19 Norwegian (Dodecad) 22.34
20 Balkans (Dodecad) 23.65


well, you are pretty fking german yeah XD

[Richmondbread]

well, you are pretty fking german yeah XD

But that does this chart mean? It kind of gives a different sampling

# Primary Population (source) Secondary Population (source) Distance
1 55.8% Swedish (Dodecad) + 44.2% Romanians_14 (Behar) @ 1.81
2 88.3% German (Dodecad) + 11.7% Turks (Behar) @ 2.05
3 66.9% Slovenian (Xing) + 33.1% Mixed_Germanic (Dodecad) @ 2.11
4 87.6% German (Dodecad) + 12.4% Turkish (Dodecad) @ 2.11
5 88% German (Dodecad) + 12% Kurd (Dodecad) @ 2.27
6 87.8% German (Dodecad) + 12.2% Uzbekistan_Jews (Behar) @ 2.28
7 75.4% Slovenian (Xing) + 24.6% Irish (Dodecad) @ 2.33
8 90% German (Dodecad) + 10% Assyrian (Dodecad) @ 2.34
9 88.5% German (Dodecad) + 11.5% Georgia_Jews (Behar) @ 2.34
10 89.1% German (Dodecad) + 10.9% Iranians (Behar) @ 2.35
11 89.1% German (Dodecad) + 10.9% Iranian (Dodecad) @ 2.36
12 88.8% German (Dodecad) + 11.2% Azerbaijan_Jews (Behar) @ 2.41
13 89% German (Dodecad) + 11% Iranian_Jews (Behar) @ 2.41
14 53.1% Norwegian (Dodecad) + 46.9% Romanians_14 (Behar) @ 2.42
15 53.7% Slovenian (Xing) + 46.3% N._European (Xing) @ 2.44
16 88.8% German (Dodecad) + 11.2% Lebanese (Behar) @ 2.45
17 89.3% German (Dodecad) + 10.7% Iraq_Jews (Behar) @ 2.47
18 74.2% Slovenian (Xing) + 25.8% Cornwall (1000 Genomes) @ 2.49
19 89.2% German (Dodecad) + 10.8% Druze (HGDP) @ 2.5
20 90% German (Dodecad) + 10% Armenian (Dodecad) @ 2.52

[Gründig]

But that does this chart mean? It kind of gives a different sampling

# Primary Population (source) Secondary Population (source) Distance
1 55.8% Swedish (Dodecad) + 44.2% Romanians_14 (Behar) @ 1.81
2 88.3% German (Dodecad) + 11.7% Turks (Behar) @ 2.05
3 66.9% Slovenian (Xing) + 33.1% Mixed_Germanic (Dodecad) @ 2.11
4 87.6% German (Dodecad) + 12.4% Turkish (Dodecad) @ 2.11
5 88% German (Dodecad) + 12% Kurd (Dodecad) @ 2.27
6 87.8% German (Dodecad) + 12.2% Uzbekistan_Jews (Behar) @ 2.28
7 75.4% Slovenian (Xing) + 24.6% Irish (Dodecad) @ 2.33
8 90% German (Dodecad) + 10% Assyrian (Dodecad) @ 2.34
9 88.5% German (Dodecad) + 11.5% Georgia_Jews (Behar) @ 2.34
10 89.1% German (Dodecad) + 10.9% Iranians (Behar) @ 2.35
11 89.1% German (Dodecad) + 10.9% Iranian (Dodecad) @ 2.36
12 88.8% German (Dodecad) + 11.2% Azerbaijan_Jews (Behar) @ 2.41
13 89% German (Dodecad) + 11% Iranian_Jews (Behar) @ 2.41
14 53.1% Norwegian (Dodecad) + 46.9% Romanians_14 (Behar) @ 2.42
15 53.7% Slovenian (Xing) + 46.3% N._European (Xing) @ 2.44
16 88.8% German (Dodecad) + 11.2% Lebanese (Behar) @ 2.45
17 89.3% German (Dodecad) + 10.7% Iraq_Jews (Behar) @ 2.47
18 74.2% Slovenian (Xing) + 25.8% Cornwall (1000 Genomes) @ 2.49
19 89.2% German (Dodecad) + 10.8% Druze (HGDP) @ 2.5
20 90% German (Dodecad) + 10% Armenian (Dodecad) @ 2.52

They are possible population combinations that you fit into according to this calculator. Some make sense, some don't.

[TheMaestro]

jup, i picked up on it kinda XDD


all my oracle distances for european populations are above @25> its quite sad really :(

all i can go by for my european ancestry is genealogy. no test is really accurate for me when it comes to my european XD

Well yeah, the "darker" always overlays the whiter, applies also on the looks or genetics. Your dad looks masterrace, but you have super hard non-Euro influence xD MR. Depigmented Rijkaard :D

[Richmondbread]

Well, I'm definitely not Jewish, so...

[happycow]

But that does this chart mean? It kind of gives a different sampling

# Primary Population (source) Secondary Population (source) Distance
1 55.8% Swedish (Dodecad) + 44.2% Romanians_14 (Behar) @ 1.81
2 88.3% German (Dodecad) + 11.7% Turks (Behar) @ 2.05
3 66.9% Slovenian (Xing) + 33.1% Mixed_Germanic (Dodecad) @ 2.11
4 87.6% German (Dodecad) + 12.4% Turkish (Dodecad) @ 2.11
5 88% German (Dodecad) + 12% Kurd (Dodecad) @ 2.27
6 87.8% German (Dodecad) + 12.2% Uzbekistan_Jews (Behar) @ 2.28
7 75.4% Slovenian (Xing) + 24.6% Irish (Dodecad) @ 2.33
8 90% German (Dodecad) + 10% Assyrian (Dodecad) @ 2.34
9 88.5% German (Dodecad) + 11.5% Georgia_Jews (Behar) @ 2.34
10 89.1% German (Dodecad) + 10.9% Iranians (Behar) @ 2.35
11 89.1% German (Dodecad) + 10.9% Iranian (Dodecad) @ 2.36
12 88.8% German (Dodecad) + 11.2% Azerbaijan_Jews (Behar) @ 2.41
13 89% German (Dodecad) + 11% Iranian_Jews (Behar) @ 2.41
14 53.1% Norwegian (Dodecad) + 46.9% Romanians_14 (Behar) @ 2.42
15 53.7% Slovenian (Xing) + 46.3% N._European (Xing) @ 2.44
16 88.8% German (Dodecad) + 11.2% Lebanese (Behar) @ 2.45
17 89.3% German (Dodecad) + 10.7% Iraq_Jews (Behar) @ 2.47
18 74.2% Slovenian (Xing) + 25.8% Cornwall (1000 Genomes) @ 2.49
19 89.2% German (Dodecad) + 10.8% Druze (HGDP) @ 2.5
20 90% German (Dodecad) + 10% Armenian (Dodecad) @ 2.52

Interesting. What do you get as a secondary population in Eurogenes? I remember you did score some East Med and West Asian...

[Krivich]

I go on ancestry rather than just the genetic results. My dad's father's family all from Germany. Came late the United States. My great grandfather was born in Saxony, and my Great Grandmother born at Pfeddersheim.
Mom's family has 1 German from Bavaria who married into another old Richmond family.

Oh well, here goes

1 German (Dodecad) 6.87
2 Slovenian (Xing) 8.11
3 N._European (Xing) 9.29
4 CEU (HapMap) 9.86
5 Argyll (1000 Genomes) 10.22
6 Orcadian (HGDP) 11.31
7 Orkney (1000 Genomes) 11.51
8 Hungarians (Behar) 12.95
9 Mixed_Germanic (Dodecad) 15.98
10 French (HGDP) 17.23
11 French (Dodecad) 17.33
12 Dutch (Dodecad) 17.81
13 Kent (1000 Genomes) 19.93
14 Swedish (Dodecad) 20.09
15 British_Isles (Dodecad) 21.42
16 British (Dodecad) 21.72
17 FIN (1000Genomes) 21.76
18 Cornwall (1000 Genomes) 22.31
19 Norwegian (Dodecad) 22.34
20 Balkans (Dodecad) 23.65

You are the pride of the German nation. Your ancestors weren't in the SS ?
https://b.radikal.ru/b16/1808/8a/1746a1f2b496.jpg (https://radikal.ru)

[Gründig]

You are the pride of the German nation. Your ancestors weren't in the SS ?
https://b.radikal.ru/b16/1808/8a/1746a1f2b496.jpg (https://radikal.ru)

Are You ever gonna kiss my mouth?

[Richmondbread]

Does anyone have any idea which of these tests are the most definitive? They seem to be all over the place, much like 23andpee.

K13 Eurogenes
Population Percent
1 North_Atlantic 39.7
2 Baltic 27.81
3 West_Med 14.6
4 West_Asian 8.78
5 East_Med 4.16
6 Northeast_African 1.61
7 Amerindian 1.38
8 Red_Sea 0.71
9 Oceanian 0.67
10 Siberian 0.35
11 South_Asian 0.23




# Population (source) Distance
1 Austrian 5.3
2 East_German 5.82
3 West_German 7.15
4 South_Dutch 7.94
5 North_German 7.97
6 Hungarian 9.34
7 Danish 10.43
8 North_Dutch 10.44
9 Swedish 10.46
10 Southeast_English 11.1
11 Orcadian 11.43
12 Norwegian 11.52
13 Irish 12.1
14 Southwest_English 12.5
15 French 12.52
16 North_Swedish 12.59
17 West_Scottish 13.13
18 Croatian 13.99
19 Serbian 15.01
20 Moldavian 15.4

K13
# Primary Population (source) Secondary Population (source) Distance
1 56.2% Irish + 43.8% Moldavian @ 2.61
2 54.2% West_Scottish + 45.8% Moldavian @ 2.93
3 55.5% Southwest_English + 44.5% Moldavian @ 3.17
4 57.9% Orcadian + 42.1% Moldavian @ 3.19
5 53.9% Irish + 46.1% Croatian @ 3.26
6 53% Southwest_English + 47% Croatian @ 3.37
7 51.7% West_Scottish + 48.3% Croatian @ 3.49
8 60.5% North_Dutch + 39.5% Moldavian @ 3.61
9 75% Austrian + 25% Irish @ 3.66
10 55.5% Orcadian + 44.5% Croatian @ 3.73
11 57.4% Hungarian + 42.6% Irish @ 3.8
12 77.4% Austrian + 22.6% West_Scottish @ 3.83
13 58.9% Southeast_English + 41.1% Moldavian @ 3.84
14 74.8% West_German + 25.2% Polish @ 3.85
15 74.8% Austrian + 25.2% Orcadian @ 3.88
16 76.8% Austrian + 23.2% Southwest_English @ 3.92
17 70.4% South_Dutch + 29.6% Ukrainian_Lviv @ 3.93
18 75.9% South_Dutch + 24.1% Ukrainian_Belgorod @ 3.93
19 58.3% Hungarian + 41.7% Southwest_English @ 3.93
20 58.2% East_German + 41.8% West_German @

[Gründig]

Does anyone have any idea which of these tests are the most definitive? They seem to be all over the place, much like 23andpee.

K13 Eurogenes
Population Percent
1 North_Atlantic 39.7
2 Baltic 27.81
3 West_Med 14.6
4 West_Asian 8.78
5 East_Med 4.16
6 Northeast_African 1.61
7 Amerindian 1.38
8 Red_Sea 0.71
9 Oceanian 0.67
10 Siberian 0.35
11 South_Asian 0.23




# Population (source) Distance
1 Austrian 5.3
2 East_German 5.82
3 West_German 7.15
4 South_Dutch 7.94
5 North_German 7.97
6 Hungarian 9.34
7 Danish 10.43
8 North_Dutch 10.44
9 Swedish 10.46
10 Southeast_English 11.1
11 Orcadian 11.43
12 Norwegian 11.52
13 Irish 12.1
14 Southwest_English 12.5
15 French 12.52
16 North_Swedish 12.59
17 West_Scottish 13.13
18 Croatian 13.99
19 Serbian 15.01
20 Moldavian 15.4

K13
# Primary Population (source) Secondary Population (source) Distance
1 56.2% Irish + 43.8% Moldavian @ 2.61
2 54.2% West_Scottish + 45.8% Moldavian @ 2.93
3 55.5% Southwest_English + 44.5% Moldavian @ 3.17
4 57.9% Orcadian + 42.1% Moldavian @ 3.19
5 53.9% Irish + 46.1% Croatian @ 3.26
6 53% Southwest_English + 47% Croatian @ 3.37
7 51.7% West_Scottish + 48.3% Croatian @ 3.49
8 60.5% North_Dutch + 39.5% Moldavian @ 3.61
9 75% Austrian + 25% Irish @ 3.66
10 55.5% Orcadian + 44.5% Croatian @ 3.73
11 57.4% Hungarian + 42.6% Irish @ 3.8
12 77.4% Austrian + 22.6% West_Scottish @ 3.83
13 58.9% Southeast_English + 41.1% Moldavian @ 3.84
14 74.8% West_German + 25.2% Polish @ 3.85
15 74.8% Austrian + 25.2% Orcadian @ 3.88
16 76.8% Austrian + 23.2% Southwest_English @ 3.92
17 70.4% South_Dutch + 29.6% Ukrainian_Lviv @ 3.93
18 75.9% South_Dutch + 24.1% Ukrainian_Belgorod @ 3.93
19 58.3% Hungarian + 41.7% Southwest_English @ 3.93
20 58.2% East_German + 41.8% West_German @

Do any of those come close to your paper trail?

Some tests are more accurate for certain people.

[Teutonski]

Are You ever gonna kiss my mouth?

hes the biggest ape, I huniliated him several times hes now on another german hate row haha

[Congolese Rice]

Well yeah, the "darker" always overlays the whiter, applies also on the looks or genetics. Your dad looks masterrace, but you have super hard non-Euro influence xD MR. Depigmented Rijkaard :D

XDDDDD well yeah, if you combine asian, with levantine and nigerian then your european in your phenotype is almost completely killed. i am still more european than non-european, which i find fairly cool because when i was a kid i always wished to be german or part german so there we go XD now i have proof of it. well, atleast my dad's words for it. and some surnames in my dad's family that were definitely german or ashkenazi, like schmids or something like that.

[Moje ime]

Does anyone have any idea which of these tests are the most definitive? They seem to be all over the place, much like 23andpee.



K13 Eurogenes is the best.

[Congolese Rice]

hes the biggest ape, I huniliated him several times hes now on another german hate row haha

lol, you can hate germans but you cant deny all that they have achieved so far

[Krivich]

hes the biggest ape, I huniliated him several times hes now on another german hate row haha
I love full-blooded Germans....not a Latvian fake like you.

[Gründig]

K13 Eurogenes is the best.

I agree.

[Gründig]

I love full-blooded Germans....not a Latvian fake like you.

Where are your DNA results?

[alnortedelsur]

Nowhere in my main results or in my single population sharing, but it compares me with them in mixed mode:


Admix Results (sorted):

# Population Percent
1 Mediterranean 30.65
2 West_European 30.43
3 West_Asian 10.81
4 East_European 7.37
5 Southwest_Asian 4.73
6 Northwest_African 4.22
7 Northeast_Asian 3.26
8 Neo_African 3.01
9 Southeast_Asian 2.27
10 Palaeo_African 1.89
11 East_African 1.36

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 11.33
2 Tuscan (Henn) 11.77
3 TSI (HapMap) 12.39
4 N_Italian (Dodecad) 15.28
5 O_Italian (Dodecad) 15.45
6 Ashkenazy_Jews (Behar) 17.38
7 Portuguese (Dodecad) 17.91
8 Romanians_14 (Behar) 18.44
9 Slovenian (Xing) 18.67
10 Tuscan (HGDP) 18.77
11 Ashkenazi (Dodecad) 18.77
12 North_Italian (HGDP) 19.38
13 C_Italian (Dodecad) 19.84
14 Hungarians (Behar) 20.44
15 IBS (1000Genomes) 20.78
16 Balkans (Dodecad) 20.78
17 French (Dodecad) 21.38
18 French (HGDP) 21.41
19 Spanish (Dodecad) 21.48
20 Spaniards (Behar) 21.67

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 72.6% Portuguese (Dodecad) + 27.4% Uzbeks (Behar) @ 7.94
2 53.5% German (Dodecad) + 46.5% Sephardic_Jews (Behar) @ 8.02
3 54.3% N._European (Xing) + 45.7% Sephardic_Jews (Behar) @ 8.06
4 74.2% O_Italian (Dodecad) + 25.8% FIN (1000Genomes) @ 8.12
5 64.7% Portuguese (Dodecad) + 35.3% Stalskoe (Xing) @ 8.14
6 84.5% Tuscan (Xing) + 15.5% Finnish (Dodecad) @ 8.16
7 82.8% Tuscan (Xing) + 17.2% FIN (1000Genomes) @ 8.2
8 52.9% Argyll (1000 Genomes) + 47.1% Sephardic_Jews (Behar) @ 8.2
9 55% CEU (HapMap) + 45% Sephardic_Jews (Behar) @ 8.21
10 76.6% O_Italian (Dodecad) + 23.4% Finnish (Dodecad) @ 8.24
11 52.2% Orkney (1000 Genomes) + 47.8% Sephardic_Jews (Behar) @ 8.32
12 51.7% Morocco_Jews (Behar) + 48.3% German (Dodecad) @ 8.33
13 50.2% Morocco_Jews (Behar) + 49.8% CEU (HapMap) @ 8.33
14 52.6% Orcadian (HGDP) + 47.4% Sephardic_Jews (Behar) @ 8.36
15 84.7% Tuscan (Henn) + 15.3% Chuvashs_16 (Behar) @ 8.37
16 63.2% French (Dodecad) + 36.8% Egypt (Henn) @ 8.37
17 60.6% Sicilian (Dodecad) + 39.4% Swedish (Dodecad) @ 8.41
18 51.2% N._European (Xing) + 48.8% Sicilian (Dodecad) @ 8.48
19 57.5% Sephardic_Jews (Behar) + 42.5% Swedish (Dodecad) @ 8.5
20 84% Tuscan (Henn) + 16% Finnish (Dodecad) @ 8.53


My sister:


Admix Results (sorted):

# Population Percent
1 West_European 30.58
2 Mediterranean 29.48
3 West_Asian 9
4 East_European 7.6
5 Southwest_Asian 6.07
6 Northwest_African 5
7 Northeast_Asian 3.35
8 Neo_African 3.27
9 Southeast_Asian 2.1
10 East_African 1.52
11 Palaeo_African 1.29
12 South_Asian 0.75

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 12.89
2 Tuscan (Henn) 13.18
3 TSI (HapMap) 13.99
4 N_Italian (Dodecad) 16.77
5 O_Italian (Dodecad) 17.11
6 Portuguese (Dodecad) 18.19
7 Ashkenazy_Jews (Behar) 18.34
8 Slovenian (Xing) 18.44
9 Romanians_14 (Behar) 19.26
10 Ashkenazi (Dodecad) 19.78
11 Hungarians (Behar) 20.25
12 Tuscan (HGDP) 20.41
13 North_Italian (HGDP) 20.79
14 Balkans (Dodecad) 21.19
15 IBS (1000Genomes) 21.35
16 C_Italian (Dodecad) 21.41
17 French (Dodecad) 21.48
18 French (HGDP) 21.61
19 Spanish (Dodecad) 22
20 Spaniards (Behar) 22.25

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.6% CEU (HapMap) + 39.4% Egypt (Henn) @ 7.91
2 62.7% French (Dodecad) + 37.3% Egypt (Henn) @ 8.05
3 62% French (HGDP) + 38% Libya (Henn) @ 8.31
4 58.3% Orcadian (HGDP) + 41.7% Egypt (Henn) @ 8.32
5 60.1% CEU (HapMap) + 39.9% Libya (Henn) @ 8.33
6 72.5% Portuguese (Dodecad) + 27.5% Uzbeks (Behar) @ 8.43
7 58% Orkney (1000 Genomes) + 42% Egypt (Henn) @ 8.45
8 62.7% French (HGDP) + 37.3% Egypt (Henn) @ 8.45
9 60.8% CEU (HapMap) + 39.2% North_African (Dodecad) @ 8.62
10 50.5% Morocco_Jews (Behar) + 49.5% German (Dodecad) @ 8.65
11 58.7% Argyll (1000 Genomes) + 41.3% Egypt (Henn) @ 8.66
12 58.7% CEU (HapMap) + 41.3% Algeria (Henn) @ 8.7
13 54.9% German (Dodecad) + 45.1% Sephardic_Jews (Behar) @ 8.75
14 60.7% French (HGDP) + 39.3% Algeria (Henn) @ 8.8
15 55.7% N._European (Xing) + 44.3% Sephardic_Jews (Behar) @ 8.88
16 57.8% Orcadian (HGDP) + 42.2% Libya (Henn) @ 8.88
17 50.8% CEU (HapMap) + 49.2% Morocco_Jews (Behar) @ 8.97
18 56.3% Sephardic_Jews (Behar) + 43.7% Swedish (Dodecad) @ 9.04
19 66.8% French (Dodecad) + 33.2% Yemenese (Behar) @ 9.05
20 60.5% N._European (Xing) + 39.5% North_African (Dodecad) @ 9.07

[rein]

That was hard sarcasm :D

Not soft? He identifies as 100% Dutch boy you know. :D

[Congolese Rice]

Not soft? He identifies as 100% Dutch boy you know. :D

exactly, respeck me and my values as a 100% cheesehead, goddammit

[Congolese Rice]

K13 Eurogenes is the best.

*in your opinion*


no test is "the best test" because everyone has tests that work best for their ethnicity. but i agree, eurogenes seems to be best for europeans and west asians alike

[Moje ime]

*in your opinion*


no test is "the best test" because everyone has tests that work best for their ethnicity. but i agree, eurogenes seems to be best for europeans and west asians alike

Best for Europeans. He's European.

[Impaler]

http://i.imgur.com/n26kzZL.png (https://imgur.com/n26kzZL)

[frankhammer]

# Population (source) Distance
1 CEU (HapMap) 1.51
2 Orcadian (HGDP) 3.61
3 Argyll (1000 Genomes) 3.8
4 N._European (Xing) 3.97
5 Orkney (1000 Genomes) 4.02
6 German (Dodecad) 6.13
7 Mixed_Germanic (Dodecad) 9.78
8 French (HGDP) 10.02
9 French (Dodecad) 10.12
10 Dutch (Dodecad) 10.67
11 Kent (1000 Genomes) 12.73
12 British_Isles (Dodecad) 14.45
13 British (Dodecad) 14.64
14 Cornwall (1000 Genomes) 15.27
15 Slovenian (Xing) 15.29
16 Swedish (Dodecad) 17.04
17 Irish (Dodecad) 17.43
18 Norwegian (Dodecad) 17.98
19 Hungarians (Behar) 19.3
20 French_Basque (HGDP) 21.04

[frankhammer]

Additionally, remove kebab from thread. Shitting it up with distances of 20+ :picard1:

[Teutonski]

I love full-blooded Germans....not a Latvian fake like you.

88% German is pretty full blooded, who is 100% of anything?

Baltics are honorable people and liked by anyone except russian ultranationalists like you.

https://i.imgur.com/9Sas8J4.jpg

[rein]

exactly, respeck me and my values as a 100% cheesehead, goddammit

King of the world! :D

[Gwydion]

According to Dodecad V3, my father, basically 100% English perhaps with minor Dutch distantly (1700s and back):

6 German_Dodecad @ 7.308030

Mother, whose by traced ancestry is something like 60-70% Irish and 30-40% German (Kallstadt, Lohr am Main, Prussia):

6 German_Dodecad @ 5.189128

[Congolese Rice]

Additionally, remove kebab from thread. Shitting it up with distances of 20+ :picard1:

XD

[Congolese Rice]

Additionally, remove kebab from thread. Shitting it up with distances of 20+ :picard1:




Least-squares method.

Using 1 population approximation:
1 Slovenian_Xing @ 24.152166
2 N._European_Xing @ 25.728615
3 German_Dodecad @ 25.810038
4 CEU_HapMap @ 26.647373
5 Argyll_1000 Genomes @ 27.086418
6 Hungarians_Behar @ 27.212490
7 Orcadian_HGDP @ 27.867130
8 Orkney_1000 Genomes @ 27.903755
9 Mixed_Germanic_Dodecad @ 30.283049
10 French_HGDP @ 30.301464
11 French_Dodecad @ 30.485781
12 Dutch_Dodecad @ 31.618868
13 Tuscan_Xing @ 32.605713
14 Tuscan_Henn @ 32.927879
15 TSI_HapMap @ 33.308243
16 Kent_1000 Genomes @ 33.451576
17 Balkans_Dodecad @ 33.962631
18 Swedish_Dodecad @ 34.066845
19 FIN_1000Genomes @ 34.394489
20 Romanians_14_Behar @ 34.663609


"3 German_Dodecad @ 25.810038"


germenn pride muthafukaa

[Congolese Rice]

Best for Europeans. He's European.

veri correcc my fren, its the best test for most europeans yeah. what test would you personally recommend to triracials? like half european, quarter african quarter amerindian or quarter mena for example.


i noticed that some dodecad tests are pretty good, however MDLP is interesting too, it clusters me very close to puerto ricans and dominicans XD it also gives me tatar and ashkenazi. gedrosia is best for my MENA origins i think, not much for anything else because it sucks for european. it's pretty good for tracing down my nigerian too though, it always gives me consistently yoruba.

[Krivich]

88% German is pretty full blooded, who is 100% of anything?

Baltics are honorable people and liked by anyone except russian ultranationalists like you.

https://i.imgur.com/9Sas8J4.jpg

You naive simple German-Latvian guy. You do not know that the ultra-nationalists of Germany, Latvia and Russia often cooperate. I'm not an ultranationalist, I'm not a party member. But I sympathize with them. Honorable Latvian nation? You say that because you have Latvian ancestors. However, you do not know that Latvians are a small piece of the once great Baltic - Slavic state. The descendants of the ancient Balts "Baltoslavians" predominantly a nation of Russians, Eastern Ukrainians and Belarusians. The Balts are an isolate, a small fragment of the ancient "Balto-Slavic nation", which preserved the remains of the Ancient Baltic language and did not become Slavic. I hope you finally understand my English. Here is a map of my DNA. I'm your ancestor, buddy.
https://b.radikal.ru/b16/1808/2b/ac9aabc30b07.jpg (https://radikal.ru)

[Teutonski]

You naive simple German-Latvian guy. You do not know that the ultra-nationalists of Germany, Latvia and Russia often cooperate. I'm not an ultranationalist, I'm not a party member. But I sympathize with them. Honorable Latvian nation? You say that because you have Latvian ancestors. However, you do not know that Latvians are a small piece of the once great Baltic - Slavic state. The descendants of the ancient Balts "Baltoslavians" predominantly a nation of Russians, Eastern Ukrainians and Belarusians. The Balts are an isolate, a small fragment of the ancient "Balto-Slavic nation", which preserved the remains of the Ancient Baltic language and did not become Slavic. I hope you finally understand my English. Here is a map of my DNA. I'm your ancestor, buddy.
https://b.radikal.ru/b16/1808/2b/ac9aabc30b07.jpg (https://radikal.ru)

you are a piece of shit, real ultranationalist Germans with the same amount of missing brain cells like you, think you are a subhuman, but keep licking their balls, makes it even funnier.

Did you ever saw my DNA results or know where I am from?

Ultranationalists no matter where they are from are retarded.

[Bobby Martnen]

If it even appears on your list in Dodecad V3

# Population (source) Distance
1 German (Dodecad) 4.29
2 CEU (HapMap) 6.12
3 N._European (Xing) 6.36
4 Argyll (1000 Genomes) 6.68
5 Orcadian (HGDP) 7.58
6 Orkney (1000 Genomes) 7.84
7 Slovenian (Xing) 10.74
8 Mixed_Germanic (Dodecad) 13.1
9 French (HGDP) 14.35
10 French (Dodecad) 14.42
11 Dutch (Dodecad) 14.71
12 Hungarians (Behar) 15.09
13 Kent (1000 Genomes) 16.78
14 Swedish (Dodecad) 18.12
15 British_Isles (Dodecad) 18.33
16 British (Dodecad) 18.64
17 Cornwall (1000 Genomes) 19.27
18 Norwegian (Dodecad) 20.01
19 Irish (Dodecad) 21.08
20 FIN (1000Genomes) 22.34

2 German (Dodecad) 10.47

My Pennsylvania Dutch grandfather was somewhere between 4-13% Scottish/British, and my Central European great-grandmother may have had some German blood in her

[Thracian]

I don't have German in my list. But I got 1/2 German in Oracles which is impossible.

[Congolese Rice]

I don't have German in my list. But I got 1/2 German in Oracles which is impossible.

mixed oracles are not always accurate XD some are some arent it really depends

[Oneeye]

1CEU (HapMap)2.62
2N._European (Xing)4.05
3Argyll (1000 Genomes)4.38
4Orcadian (HGDP)4.49
5Orkney (1000 Genomes)4.86
6German (Dodecad)7.51
7Mixed_Germanic (Dodecad)9.19
8French (HGDP)9.33
9French (Dodecad)9.82
10Dutch (Dodecad)10.32
11Kent (1000 Genomes)12.44
12British_Isles (Dodecad)14.29
13British (Dodecad)14.4
14Cornwall (1000 Genomes)14.92
15Slovenian (Xing)15.71

[Krivich]

Ultranationalists no matter where they are from are retarded.
Well done, you've learned your lesson well :thumb001:

[Thracian]

mixed oracles are not always accurate XD some are some arent it really depends

Yeah I know that. Juat for fun.

[Congolese Rice]

btw, just to make it clear.


i am the most german member here


i dare you to compete with my aryanness

[Art23]

I am 0% German, thankfully, I wouldn't like to be German. But this Dodecad is quite wrong:

1 Hungarians (Behar) 5.03
2 Slovenian (Xing) 8.31
3 Mixed_Slav (Dodecad) 13.29
4 Polish (Dodecad) 13.45
5 Balkans (Dodecad) 14.24
6 German (Dodecad) 18.81
7 Russian (Dodecad) 19.98
8 Romanians_14 (Behar) 19.99
9 FIN (1000Genomes) 22.89
10 Finnish (Dodecad) 23.55
11 Russian (HGDP) 23.62
12 CEU (HapMap) 23.63
13 N._European (Xing) 23.66
14 Argyll (1000 Genomes) 23.99
15 Orcadian (HGDP) 24.91
16 Orkney (1000 Genomes) 25.11
17 Belorussian (Behar) 25.52
18 French (Dodecad) 29.81
19 Lithuanians (Behar) 30.11
20 Tuscan (Xing) 30.22

[Richmondbread]

Anyone else think it's cool that Germany refers to itself as "Fatherland" whereas most countries refer to themselves as the Motherland?

[HelloGuys]

Nothing, I think

[J. Ketch]

0% German/Kraut, but pretty Anglo-Saxon.

https://s8.postimg.cc/xwqxbwmvp/K36_correlation.jpg

Correlation values

1 Niedersachsen 0.95671
2 England_South-East 0.95594
3 England_North-West 0.95577
4 Northern Ireland 0.95453
5 Dutch_Overijssel 0.95349
6 Dutch_Noord_Brabant 0.95321
7 Dutch_Gelderland 0.95308
8 Scotland0.94984
9 Schleswig-Holstein0.94912
10 Cumbria 0.94902

[Smitty]

I think this is more directed at the genetics, but somewhere between 30% and 45%. From all over Germany - north, south, east, and west.

[jingorex]

a bit?

1. CEU (HapMap) 3.73
2 N._European (Xing) 4.56
3 Argyll (1000 Genomes) 5.41
4 Orcadian (HGDP) 5.72
5 Orkney (1000 Genomes) 6.06
6 German (Dodecad) 6.75
7 French (HGDP) 10.44
8 Mixed_Germanic (Dodecad) 10.54
9 French (Dodecad) 10.77
10 Dutch (Dodecad) 11.86
11 Kent (1000 Genomes) 14.01
12 Slovenian (Xing) 14.05
13 British_Isles (Dodecad) 15.77
14 British (Dodecad) 15.91
15 Cornwall (1000 Genomes) 16.46
16 Swedish (Dodecad) 18.19
17 Hungarians (Behar) 18.37
18 Irish (Dodecad) 18.67
19 Norwegian (Dodecad) 19.28
20 French_Basque (HGDP) 21.96

[firemonkey]

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 2.05
2 Argyll (1000 Genomes) 2.34
3 Orcadian (HGDP) 2.44
4 Orkney (1000 Genomes) 2.59
5 N._European (Xing) 3.18
6 German (Dodecad) 5.23

Father


Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 1.84
2 Argyll (1000 Genomes) 2.11
3 Orcadian (HGDP) 2.2
4 N._European (Xing) 2.42
5 Orkney (1000 Genomes) 2.48
6 German (Dodecad) 6.77

[Hulu]

Anyone else think it's cool that Germany refers to itself as "Fatherland" whereas most countries refer to themselves as the Motherland?

Albania does too: Atdheu - Fatherland. Our Renaissance writers used Motherland too but it wasn't as popular.

Romance languages also: Patria - Patrie

[Thanas Django]

If it even appears on your list in Dodecad V3

# Population (source) Distance
1 German (Dodecad) 4.29
2 CEU (HapMap) 6.12
3 N._European (Xing) 6.36
4 Argyll (1000 Genomes) 6.68
5 Orcadian (HGDP) 7.58
6 Orkney (1000 Genomes) 7.84
7 Slovenian (Xing) 10.74
8 Mixed_Germanic (Dodecad) 13.1
9 French (HGDP) 14.35
10 French (Dodecad) 14.42
11 Dutch (Dodecad) 14.71
12 Hungarians (Behar) 15.09
13 Kent (1000 Genomes) 16.78
14 Swedish (Dodecad) 18.12
15 British_Isles (Dodecad) 18.33
16 British (Dodecad) 18.64
17 Cornwall (1000 Genomes) 19.27
18 Norwegian (Dodecad) 20.01
19 Irish (Dodecad) 21.08
20 FIN (1000Genomes) 22.34

I am your enemy

1 Morocco_Jews (Behar) 10.03
2 Cypriots (Behar) 10.31
3 Druze (HGDP) 10.93
4 Sephardic_Jews (Behar) 11.59
5 Lebanese (Behar) 11.95
6 Ashkenazi (Dodecad) 12.03
7 Samaritians (Behar) 12.08
8 Georgia_Jews (Behar) 12.47
9 Turkish (Dodecad) 12.96
10 Uzbekistan_Jews (Behar) 13.16
11 Ashkenazy_Jews (Behar) 13.2
12 Palestinian (HGDP) 13.74
13 Azerbaijan_Jews (Behar) 13.8
14 Iranian_Jews (Behar) 13.81
15 S_Italian_Sicilian (Dodecad) 13.83
16 Iraq_Jews (Behar) 13.86
17 S_Italian (Dodecad) 14.27
18 Sicilian (Dodecad) 15.43
19 Greek (Dodecad) 16.27
20 Jordanians_19 (Behar) 16.64

[Bosniensis]

# Population Percent
1 West_European 31.2
2 Mediterranean 26.24
3 East_European 21.45
4 West_Asian 15.23
5 Southwest_Asian 3.37
6 Northwest_African 0.89
7 South_Asian 0.64
8 Northeast_Asian 0.56
9 Southeast_Asian 0.3
10 Neo_African 0.08
11 Palaeo_African 0.04

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 9.37
2 Slovenian (Xing) 9.57
3 Balkans (Dodecad) 9.65
4 Romanians_14 (Behar) 10.46
5 Tuscan (Xing) 18.64
6 Tuscan (Henn) 19.18
7 TSI (HapMap) 19.55
8 German (Dodecad) 21.5
9 Ashkenazy_Jews (Behar) 22.25
10 N_Italian (Dodecad) 22.32
11 O_Italian (Dodecad) 22.92
12 CEU (HapMap) 23.53
13 N._European (Xing) 23.91
14 Ashkenazi (Dodecad) 23.99
15 Mixed_Slav (Dodecad) 24.57
16 Argyll (1000 Genomes) 24.72
17 Polish (Dodecad) 25.1
18 Orcadian (HGDP) 25.48
19 Orkney (1000 Genomes) 25.81
20 Greek (Dodecad) 25.88

[Ritz06]

# Population (source) Distance
1 Tuscan (Xing) 15.42
2 TSI (HapMap) 16.14
3 Tuscan (Henn) 16.42
4 Ashkenazy_Jews (Behar) 16.97
5 Stalskoe (Xing) 17.84
6 Ashkenazi (Dodecad) 18.62
7 Slovenian (Xing) 18.76
8 Romanians_14 (Behar) 18.86
9 O_Italian (Dodecad) 20.66
10 Hungarians (Behar) 21.22
11 Balkans (Dodecad) 21.39
12 N_Italian (Dodecad) 23.15
13 C_Italian (Dodecad) 23.71
14 Urkarah (Xing) 24.38
15 Morocco_Jews (Behar) 24.66
16 Tuscan (HGDP) 25.06
17 N._European (Xing) 25.31
18 Greek (Dodecad) 25.56
19 CEU (HapMap) 25.65
20 German (Dodecad) 25.68

[Weiss]

Population (source) Distance
1 German (Dodecad) 2.19
2 Denmark (Dodecad) 3.32
3 N._European (Xing) 4.11