Highest GEDmatch score you've ever got?

[Longbowman]

I score 0.000000 on the 4 populations approximation for Dodecad K7b Adyghei, Moroccan Jewish, Sicilian and Sardinian. No, I'm not lying. If anyone wants my GEDmatch number to prove it I am happy to give it to them.

Anyhow, what's yours?

[Proctor]

I can't recall off the top of my head, if you want my gedmatch number I can message it to you if you want. I've honestly never seen anyone get a 0.0000 for anything before though, very impressive.

[Longbowman]

I can't recall off the top of my head, if you want my gedmatch number I can message it to you if you want. I've honestly never seen anyone get a 0.0000 for anything before though, very impressive.

I know, my mind is absolutely blown. I can't believe I never noticed it before. I score very highly on K7, like up to 0.4, but 0.0000000?

[Damião de Góis]

The 4 populations method also gives me lower scores than normal Oracle. But i consider Oracle to be more accurate.

For example:


Using 1 population approximation:
1 Portuguese @ 2.615568

Using 4 populations approximation:
1 Algerian_Jewish + French_Basque + Portuguese + Southwest_English @ 1.768960

[HellLander87]

I remember seeing danielJ1e got a 0 at the k7 calculator.I am not 100% sure though.

[Longbowman]

The 4 populations method also gives me lower scores than normal Oracle. But i consider Oracle to be more accurate.

For example:

Obviously I'm not part Adyghei, my mind is just blown.

[Brighton]

1 French_Basque + Karitiana + Southwest_French + Turkish @ 4.715637

Haha too mixed to have anything below 4

[Graham]

The lower calculators score lower scores. Because you have less difference.. The fact that this is in alphabetical order shows how many European populations I could go through.

Dodecad K7b 4-Ancestors Oracle

Using 1 population approximation:
1 English @ 0.808957

Using 2 populations approximation:
1 50% British +50% Cornwall @ 0.299945

Using 3 populations approximation:
1 50% Argyll +25% Castilla_La_Mancha +25% Lithuanians @ 0.000000

Using 4 populations approximation:
1 Aragon + CEU30 + Lithuanians + Polish @ 0.000000
2 Argyll + Argyll + Castilla_La_Mancha + Lithuanians @ 0.000000
3 Argyll + Argyll + French + Norwegian @ 0.000000
4 Argyll + British + French + Norwegian @ 0.000000
5 Argyll + British + French + Swedish @ 0.000000
6 Argyll + British_Isles + French + Norwegian @ 0.000000
7 Argyll + British_Isles + French + Norwegian @ 0.000000
8 Argyll + British_Isles + French + Swedish @ 0.000000
9 Argyll + Cataluna + CEU30 + Lithuanians @ 0.000000
10 Argyll + Cataluna + Kent + Lithuanians @ 0.000000
11 Argyll + Cataluna + Lithuanian + Orkney @ 0.000000
12 Argyll + English + French + Swedish @ 0.000000
13 Argyll + French + Norwegian + Orcadian @ 0.000000
14 Argyll + French + Irish + Norwegian @ 0.000000
15 Argyll + French + Norwegian + Orcadian @ 0.000000
16 Belorussian + British + British + French @ 0.000000
17 Belorussian + British + British_Isles + French @ 0.000000
18 Belorussian + British_Isles + British_Isles + French @ 0.000000
19 British + British + French + Swedish @ 0.000000
20 British + British_Isles + French + Swedish @ 0.000000

[Sikeliot]

Moroccan Jewish and Sicilian are genetically similar, so it's like half of you is one thing, and then Sardinian and Adygei mixed together would come out close to those two.

[Longbowman]

Moroccan Jewish and Sicilian are genetically similar, so it's like half of you is one thing, and then Sardinian and Adygei mixed together would come out close to those two.

I don't think so. I keep scoring 3 Med populations and one Eastern one (Belarussian if not Adyghei).

[Oneeye]

K7b:


1 Argyll + Belorussian + French + Romanians @ 0.000000
2 Argyll + Mixed_Slav + Swedish + TSI30 @ 0.000000
3 Argyll + Mixed_Slav + Swedish + Tuscan @ 0.000000
4 Argyll + North_Italian + Ukranians + Ukranians @ 0.000000
5 Argyll + Norwegian + O_Italian + Ukranians @ 0.000000
6 Argyll + Swedish + TSI30 + Ukranians @ 0.000000
7 Baleares + Lithuanian + Lithuanian + Romanians @ 0.000000
8 Belorussian + C_Italian + Orkney + Swedish @ 0.000000
9 Belorussian + CEU30 + Polish + TSI30 @ 0.000000
10 Belorussian + Cornwall + Polish + Tuscan @ 0.000000
11 Belorussian + English + Polish + Tuscan @ 0.000000
12 Belorussian + French + Lithuanian + O_Italian @ 0.000000
13 Belorussian + Kent + Polish + Tuscan @ 0.000000
14 British + Greek + Lithuanian + Norwegian @ 0.000000
15 British + N_Italian + Ukranians + Ukranians @ 0.000000
16 British + O_Italian + Swedish + Ukranians @ 0.000000
17 British_Isles + Greek + Lithuanian + Norwegian @ 0.000000
18 British_Isles + Hungarians + Norwegian + Romanians @ 0.000000
19 British_Isles + N_Italian + Ukranians + Ukranians @ 0.000000
20 British_Isles + O_Italian + Swedish + Ukranians @ 0.000000



I think a closer score for a single population would be more impressive. For K7b, my closest single pop score is 2.28 with Hungarians. 0.o

[Graham]

K7b:

I think a closer score for a single population would be more impressive. For K7b, my closest single pop score is 2.28 with Hungarians. 0.o

Don't take Dodecad as correct unless you are in the original run. Pointless otherwise. The best results are from Eurogene K7, K13, K15 & MDLP K23b

[Oneeye]

MDLP K23b:


1 Dutch + French + Irish + Irish @ 1.717766

[Graham]

MDLP K23b:


1 Dutch + French + Irish + Irish @ 1.717766

See that would be a better reflection. Somewhere in this map, but more West. Perhaps South England & West Midlands.

http://i55.photobucket.com/albums/g156/irnbru293/europe_zps4d23d8a6.gif

[Proctor]

MDLP K23b:


Using 1 population approximation:
1 Welsh @ 4.752843
2 English_Cornwall_GBR @ 5.119761
3 English_Kent_GBR @ 5.755481
4 CEU @ 5.800682
5 British @ 6.299605
6 English @ 6.565794
7 French @ 6.971396
8 North_European @ 7.047078
9 Scottish_Argyll_Bute_GBR @ 7.111903
10 Orcadian @ 7.134975

[Stanislav]

I score 0.000000 on the 4 populations approximation for Dodecad K7b Adyghei, Moroccan Jewish, Sicilian and Sardinian. No, I'm not lying. If anyone wants my GEDmatch number to prove it I am happy to give it to them.

Anyhow, what's yours?

Why not? Somebody have to be nearest.

By the way
MDLP K23b
Using 4 populations approximation:
1 Croat + Kashub + Russian-North + Russian-Upper-Volga @ 2.386152

[karen1300]

MDLP K23b - Using 4 populations approximation:
1 Dutch + Irish + Portugese + Swede_Saami @ 2.059505

MDLP K=7 - Using 4 populations approximation:
1 CEU + CRS + GBRCORN + NRUS @ 1.132257

Eurogenes K13 - Using 4 populations approximation:
1 French + West_Scottish + West_Scottish + West_Scottish @ 2.998137

Eurogenes EUtest V2 K15 - Using 4 populations approximation:
1 Orcadian + Orcadian + Orcadian + West_German @ 2.187068

MDLP World-22 - Using 4 populations approximation:
1 British + Kosovar + Mordovian + Norwegian_V @ 2.202791

[Siberia62]

Eurogenes K13 - Using 4 populations approximation:
1 Irish + Norwegian + Sephardic_Jewish + West_German @ 1.166922

Eurogenes EUTest V2 K15 - Using 4 populations approximation:
1 Danish + East_Sicilian + West_German + West_Scottish @ 0.599900

MDLP K23b - Using 4 populations approximation:
1 Frisian + Greek_Peloponnesos + Scottish_Argyll_Bute_GBR + South_German @ 1.339087

[Patches]

Eurogenes K13 - Using 4 populations approximation:
1 Danish + South_Dutch + Southeast_English + Southeast_English @ 1.814704
2 Orcadian + Southeast_English + Southeast_English + West_German @ 1.818788
3 South_Dutch + Southeast_English + Southeast_English + Southeast_English @ 1.859846
4 Southeast_English + Southeast_English + Southeast_English + West_German @ 1.861875
5 Danish + Danish + French + Southeast_English @ 1.888496

MDLP K23b - Using 4 populations approximation:
1 Belgian + Belgian + Dutch + German-Volga @ 1.864054
2 English_Cornwall_GBR + German-Volga + German-Volga + Norwegian_East @ 1.894085

MDLP World-22 - Using 4 populations approximation:
1 CEU + German + Romania + Swedish @ 1.365199
2 British + German + Romania + Swedish @ 1.511784
3 German + German_V + Norwegian_V + Romania @ 1.603718
4 CEU_V + German + Norwegian_V + Romania @ 1.604895
5 CEU + German_V + Kosovar + Russian_North @ 1.608986
6 British + German_V + Kosovar + Russian_North @ 1.662348
7 German + German-South + Romania + Swedish_V @ 1.700572
8 Hungarian + Norwegian_V + Romania + Swedish @ 1.723417

[War Chef]

Dodecad K7b

1 Armenian + Armenians_15 + Finnish + Lithuanians @ 0.000000
2 Armenians + Armenians_15 + Finnish + Lithuanians @ 0.000000
3 Armenians + Armenians_15 + FIN30 + Lithuanians @ 0.264317

[Mortimer]

dont know really, too many to check and compare. i think MDLP K23b and World-22 + most other MDLP are good for me because they have roma populations MDLP K23b even has a few roma populations like roma slovenia, roma macedonia, roma bulgaria etc.

[Graham]

dont know really, too many to check and compare. i think MDLP K23b and World-22 + most other MDLP are good for me because they have roma populations MDLP K23b even has a few roma populations like roma slovenia, roma macedonia, roma bulgaria etc.

You're probably correct. For a Brit-Irish, somewhat between K13 & K15 Eurogenes would be perfect, just stick both together. :cool:

[Grace O'Malley]

K7b

Using 1 population approximation:
1 Dutch @ 0.824186

Using 2 populations approximation:
1 50% Dutch +50% German @ 0.584702

Using 3 populations approximation:
1 50% Argyll +25% British +25% Hungarians @ 0.000000


Using 4 populations approximation:
1 Argyll + Argyll + British + Hungarians @ 0.000000
2 Argyll + Argyll + British_Isles + Hungarians @ 0.000000
3 Argyll + Argyll + Hungarians + Irish @ 0.000000
4 Argyll + CEU30 + Hungarians + Orkney @ 0.000000
5 Argyll + Dutch + Hungarians + Orkney @ 0.000000
6 Argyll + German + German + German @ 0.000000
7 Argyll + Lithuanians + N_Italian + Norwegian @ 0.000000
8 Belorussian + British_Isles + Lithuanians + North_Italian @ 0.000000
9 Belorussian + Dutch + Dutch + French @ 0.000000
10 Belorussian + Irish + Lithuanians + North_Italian @ 0.000000
11 Belorussian + Lithuanians + North_Italian + Orcadian @ 0.000000
12 British + Cornwall + Mixed_Germanic + Ukranians @ 0.000000
13 British + English + Hungarians + Polish @ 0.000000
14 British + Hungarians + Kent + Polish @ 0.000000
15 British + Mixed_Germanic + Mixed_Germanic + Ukranians @ 0.000000
16 British_Isles + English + Hungarians + Polish @ 0.000000
17 British_Isles + Hungarians + Kent + Polish @ 0.000000
18 British_Isles + Mixed_Germanic + Mixed_Germanic + Ukranians @ 0.000000
19 CEU30 + CEU30 + Hungarians + Swedish @ 0.000000
20 CEU30 + Cornwall + English + Ukranians @ 0.000000

K23b

Using 4 populations approximation:
1 Dutch + Irish + Irish + Irish @ 1.160391

K13

Using 4 populations approximation:
1 Irish + Norwegian + Norwegian + West_Scottish @ 2.519424

K15

Using 4 populations approximation:
1 Irish + North_German + West_Scottish + West_Scottish @ 3.125094

[Grace O'Malley]

My brother has much closer results than me on K23b.

K23b

Using 2 populations approximation:
1 50% Dutch +50% Irish @ 0.593731


Using 3 populations approximation:
1 50% Dutch +25% Irish +25% Irish @ 0.593731


Using 4 populations approximation:


1 Dutch + Dutch + Irish + Irish @ 0.593731

K13 not as close as mine

Using 4 populations approximation:
1 Irish + Irish + Irish + Irish @ 2.953441

K15 closer than mine

Using 4 populations approximation:
1 North_German + Orcadian + Orcadian + Orcadian @ 2.468943

[noricum]

MDLP K=7
LTV + MNT + SPN + WUKR @ 0.324268

Dodecad K7b
50% British_Isles +25% Russian +25% Tuscan @ 0.321343

MDLP K23b
1 50% Czech +25% Hungarian_Budapest +25% Scottish_Argyll_Bute_GBR @ 1.863533

[Jana]

Posting only the exact matches : they got it wrong!

Dodecat K7b :

50% Bulgarians + 25% Hungarians + 25% Lithuanians 0.00
Bulgarians + Bulgarians + Hungarians + Lithuanians 0.00

[Stanislav]

MDLP K23b
1 Croat + Kashub + Russian-North + Russian-Upper-Volga @ 2.386152

MDLP World-22
1 Romania + Russian_cossack + Russian_North + Russian_V @ 2.016184

Eurogenes K13
1 Croatian + East_Finnish + East_Finnish + Ukrainian_Lviv @ 1.420336

Eurogenes EUtest V2 K15
1 Finnish + Lithuanian + South_Polish + Ukrainian_Lviv @ 3.314444

[jtoml3]

MDLP World
Using 4 populations approximation:
1 Croatian_V + Romania + French + Sorb @ 0.832184

MDLP World 22
Using 4 populations approximation:
1 CEU + Croatian_V + Gagauz + Welsh @ 0.721754

[Thrax]

Dodecad K7b
1 Armenian + C_Italian + German + TSI30 @ 0.000000
2 Armenian + C_Italian + German + Tuscan @ 0.000000
3 Armenian + Greek + Kent + TSI30 @ 0.000000
4 Armenians + C_Italian + Cornwall + TSI30 @ 0.000000
5 Armenians + C_Italian + Mixed_Germanic + TSI30 @ 0.000000
6 Georgia_Jews + Greek + Irish + TSI30 @ 0.000000
7 Georgia_Jews + Greek + Irish + Tuscan @ 0.000000
8 Georgia_Jews + Greek + Orkney + TSI30 @ 0.000000
9 Georgians + N_Italian + North_Italian + North_Italian @ 0.000000

Dodecad World9
1 Tuscan + Tuscan + Georgians + Cataluna @ 0.402907
2 North_Italian + North_Italian + TSI30 + Georgians @ 0.402957
3 Bulgarian + N_Italian + North_Italian + Armenians @ 0.408956
4 Greek + TSI30 + Georgians + Pais_Vasco @ 0.467253
5 French + Cypriots + Georgians + Pais_Vasco @ 0.487624
6 Armenian + S_Italian_Sicilian + Dutch + North_Italian @ 0.498324

MDLP World
1 Jew-Iraqi + Gagauz + Kosovar + Croatian @ 0.466868

[jamie.lynn]

Dodecad K7b
1 Bulgarian + Dutch + German + Hungarians @ 0.000000
2 Bulgarians + Dutch + German + Hungarians @ 0.000000
3 Bulgarians + German + German + Hungarians @ 0.000000
4 C_Italian + German + Hungarians + Lithuanians @ 0.000000
5 English + Greek + Hungarians + Lithuanians @ 0.000000
6 French + Greek + Lithuanians + Ukranians @ 0.000000
7 Greek + Hungarians + Kent + Lithuanians @ 0.000000
8 Lithuanians + Lithuanians + O_Italian + Tuscan @ 0.000000


MDLP K23b
1 Frisian + Greek_Macedonia + Swede + Swede_Saami @ 1.507068


MDLP World-22
1 German + German + Kosovar + Ukrainian-Center @ 1.262908


Eurogenes K13
1 Central_Greek + North_Swedish + Norwegian + Norwegian @ 2.234163


Eurogenes EUtest V2 K15
1 North_German + North_German + North_German + Romanian @ 2.109624

[SwampThing26]

Dodecad K7b
1 Lithuanian + Portuguese + Romanians + Swedish @ 1.577914

Dodecad World9
1 Lithuanian + Lithuanian + Romanians + Canarias @ 1.259684

MDLP Word
1 Latvian_V + Romania + German-South + CEU @ 1.167437

All the rest are >2.0

Eurogenes are all above 3.0

[Tchek]

Dodecad K7b

Using 1 population approximation:
1 French @ 4.591330
2 French @ 5.092972
3 Hungarians @ 6.191177

Using 2 populations approximation:
1 50% CEU30 +50% N_Italian @ 0.733812


Using 3 populations approximation:
1 50% British +25% French +25% Greek @ 0.537363


Using 4 populations approximation:
1 Argyll + C_Italian + Cataluna + Polish @ 0.277814
2 C_Italian + Cataluna + Orcadian + Polish @ 0.283182
3 Baleares + British_Isles + C_Italian + Lithuanian @ 0.302839


results are weird on the 4 populations approx

on 1 population approx, the closest match I've got is on Eurogenes K13:

1 French @ 2.998604

weirdly enough, last time I did it, I had 2.68 on frenchie


I've got no 0.000

[Pendragon]

Dodecad K7b:

Least-squares method.

Using 1 population approximation:
1 French @ 3.275166
2 French @ 3.963453
3 Hungarians @ 5.131705
4 Mixed_Germanic @ 9.230377
5 German @ 9.950806

Using 2 populations approximation:
1 50% N_Italian +50% Orkney @ 0.435537


Using 3 populations approximation:
1 50% Cornwall +25% French +25% O_Italian @ 0.266111


Using 4 populations approximation:
1 Argyll + French + Mixed_Germanic + TSI30 @ 0.000000
2 British + French + German + Tuscan @ 0.000000
3 British + French + Mixed_Germanic + Tuscan @ 0.000000
4 British + French + German + Tuscan @ 0.000000
5 British_Isles + French + German + Tuscan @ 0.000000
6 British_Isles + French + German + Tuscan @ 0.000000
7 C_Italian + French + Orkney + Orkney @ 0.000000
8 CEU30 + Dutch + French + TSI30 @ 0.000000
9 CEU30 + English + French + Tuscan @ 0.000000
10 CEU30 + French + Kent + Tuscan @ 0.000000
11 Dutch + English + French + TSI30 @ 0.000000
12 Dutch + English + French + Tuscan @ 0.000000
13 Dutch + English + French + Tuscan @ 0.000000
14 Dutch + French + Kent + TSI30 @ 0.000000
15 English + French + Mixed_Germanic + O_Italian @ 0.000000
16 French + German + Irish + TSI30 @ 0.000000
17 French + German + Orcadian + TSI30 @ 0.000000
18 French + Irish + Mixed_Germanic + Tuscan @ 0.000000
19 French + Kent + Mixed_Germanic + O_Italian @ 0.000000
20 French + German + Irish + Tuscan @ 0.000000

[firemonkey]

MDLP K23B

Using 4 populations approximation:
1 Dutch + Scottish_Argyll_Bute_GBR + Scottish_Argyll_Bute_GBR + South_German @ 1.813411


Eurogenes K15:

Using 4 populations approximation:
1 Irish + Irish + Irish + Irish @ 2.428

Eurogenes K13

Using 4 populations approximation:
1 West_Scottish + West_Scottish + West_Scottish + West_Scottish @ 2.163