Post your Gedrosia K3 results

[BadSeedXii]

How accurate is this stuff, there's no way in hell I'm 4% SSA...

I think this shit is ancient. It even shows Northern Europeans getting SSA. Everybody has a bit of SSA anyways from OoA.

Must be out of Africa stuff. Sure as hell not anything within the last 500 years or it would appear on your 23andme. You cant trace this stuff.

It says that Europeans peak at just above 95%. Thats the max you can get as a European.

[Lucas]

1 W_Eurasian 96.28
2 E_Eurasian 3.72


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.000000
3 Ukrainian @ 0.790877
4 Bulgarian @ 1.025530
5 Norwegian @ 1.098781
6 Georgian @ 1.399093
7 Czech @ 1.449123
8 Croatian @ 1.533285
9 Belarusian @ 1.713192
10 Albanian @ 2.307962
11 French @ 2.361709
12 Estonian @ 2.376882
13 Greek @ 2.607331
14 Armenian @ 2.639687
15 English @ 2.866267
16 Abkhasian @ 2.941664
17 Loschbour @ 3.396817
18 Spanish @ 3.439280
19 French_South @ 3.652454
20 Georgian_Jew @ 3.683117

Using 2 populations approximation:
1 50% Belarusian +50% Croatian @ 0.000000
2 50% Belarusian +50% Czech @ 0.000000
3 50% Belarusian +50% Norwegian @ 0.000000
4 50% English +50% Estonian @ 0.000000
5 50% English +50% Loschbour @ 0.000000
6 50% Estonian +50% French @ 0.000000
7 50% Hungarian +50% Hungarian @ 0.000000
8 50% Hungarian +50% Lithuanian @ 0.000000
9 50% Lithuanian +50% Lithuanian @ 0.000000
10 50% Norwegian +50% Ukrainian @ 0.000000
11 50% Hungarian +50% Ukrainian @ 0.252708
12 50% Czech +50% Ukrainian @ 0.253688
13 50% Croatian +50% Ukrainian @ 0.297138
14 50% French_South +50% Loschbour @ 0.299300
15 50% Belarusian +50% French @ 0.301038
16 50% Abkhasian +50% English @ 0.352250
17 50% Lithuanian +50% Ukrainian @ 0.376673
18 50% Croatian +50% Estonian @ 0.423731
19 50% Bergamo +50% Loschbour @ 0.434179
20 50% Albanian +50% Estonian @ 0.438158

[Dick]

# Population Percent
1 W_Eurasian 96.59
2 E_Eurasian 3.41


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.407180
3 Norwegian @ 0.654063
4 Bulgarian @ 0.865889
5 Czech @ 1.004431
6 Croatian @ 1.089054
7 Ukrainian @ 1.235394
8 Georgian @ 1.611219
9 Albanian @ 1.902712
10 French @ 1.925371
11 Belarusian @ 2.157975
12 Greek @ 2.239966
13 English @ 2.421800
14 Armenian @ 2.747066
15 Estonian @ 2.821665
16 Spanish @ 3.149342
17 French_South @ 3.217927
18 Abkhasian @ 3.375628
19 Bergamo @ 3.491482
20 Assyrian @ 3.840616

Using 2 populations approximation:
1 50% Belarusian +50% French @ 0.000000
2 50% Belarusian +50% English @ 0.000000
3 50% Croatian +50% Ukrainian @ 0.000000
4 50% Czech +50% Lithuanian @ 0.000000
5 50% Czech +50% Ukrainian @ 0.000000
6 50% English +50% Estonian @ 0.000000
7 50% Hungarian +50% Hungarian @ 0.000000
8 50% Hungarian +50% Norwegian @ 0.000000
9 50% Lithuanian +50% Norwegian @ 0.000000
10 50% Norwegian +50% Ukrainian @ 0.000000
11 50% Hungarian +50% Lithuanian @ 0.262726
12 50% Croatian +50% Lithuanian @ 0.263433
13 50% Czech +50% Hungarian @ 0.284833
14 50% French +50% Ukrainian @ 0.324733
15 50% Croatian +50% Hungarian @ 0.328283
16 50% Estonian +50% French_South @ 0.396416
17 50% Lithuanian +50% Lithuanian @ 0.407180
18 50% Estonian +50% French @ 0.417419
19 50% Bergamo +50% Loschbour @ 0.425875
20 50% Bulgarian +50% Lithuanian @ 0.446770

[oszkar07]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.46
2 E_Eurasian 3.54


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.000000
3 Norwegian @ 0.839483
4 Bulgarian @ 0.900301
5 Ukrainian @ 1.050021
6 Czech @ 1.189840
7 Croatian @ 1.274233
8 Georgian @ 1.518459
9 Belarusian @ 1.972519
10 Albanian @ 2.069711
11 French @ 2.106876
12 Greek @ 2.389945
13 English @ 2.607111
14 Estonian @ 2.636209
15 Armenian @ 2.693899
16 Abkhasian @ 3.194321
17 Spanish @ 3.266001
18 French_South @ 3.398783
19 Loschbour @ 3.656144
20 Bergamo @ 3.672990

Using 2 populations approximation:
1 50% Belarusian +50% French @ 0.000000
2 50% Croatian +50% Ukrainian @ 0.000000
3 50% Czech +50% Ukrainian @ 0.000000
4 50% English +50% Estonian @ 0.000000
5 50% Hungarian +50% Hungarian @ 0.000000
6 50% Hungarian +50% Lithuanian @ 0.000000
7 50% Lithuanian +50% Lithuanian @ 0.000000
8 50% Lithuanian +50% Norwegian @ 0.000000
9 50% Norwegian +50% Ukrainian @ 0.000000
10 50% Belarusian +50% English @ 0.259065
11 50% Belarusian +50% Croatian @ 0.270485
12 50% Estonian +50% French @ 0.286278
13 50% Hungarian +50% Norwegian @ 0.288616
14 50% Bergamo +50% Loschbour @ 0.300550
15 50% Bulgarian +50% Lithuanian @ 0.350600
16 50% Albanian +50% Belarusian @ 0.352750
17 50% Belarusian +50% Czech @ 0.391666
18 50% French_South +50% Loschbour @ 0.402311
19 50% Bulgarian +50% Hungarian @ 0.473946
20 50% Czech +50% Lithuanian @ 0.484097


Using 3 populations approximation:
1 50% Belarusian +25% Belarusian +25% Stuttgart @ 0.000000

[Dick]

# Population Percent
1 W_Eurasian 96.59
2 E_Eurasian 3.41


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 0.000000
2 Lithuanian @ 0.407180
3 Norwegian @ 0.654063
4 Bulgarian @ 0.865889
5 Czech @ 1.004431

From my Livingdna raw data. Totally different.


# Population Percent
1 W_Eurasian 98.44
2 SSA 1.56


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Sardinian @ 0.403510
2 LBK_EN @ 0.580569
3 Bergamo @ 1.212287
4 French_South @ 1.311653
5 Spanish @ 1.884811

1 50% Sardinian +50% Sardinian @ 0.403510

[Dibran]

From my Livingdna raw data. Totally different.


# Population Percent
1 W_Eurasian 98.44
2 SSA 1.56


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Sardinian @ 0.403510
2 LBK_EN @ 0.580569
3 Bergamo @ 1.212287
4 French_South @ 1.311653
5 Spanish @ 1.884811

1 50% Sardinian +50% Sardinian @ 0.403510

Yea K3 on LivingDNA sucks. It says I'm Spanish and Croatian. Lol.

[Dick]

Yea K3 on LivingDNA sucks. It says I'm Spanish and Croatian. Lol.

K3 isn't for modern or ancestry, it was made for ancient genomes. I always wanted to come out as a Sardinian on gedmatch anyway They have hot women.

[Dibran]

K3 isn't for modern or ancestry, it was made for ancient genomes. I always wanted to come out as a Sardinian on gedmatch anyway They have hot women.

Their women are unbelievable. I honestly would marry a Sardinian woman if not an Albanian. lol Here is my K3 for all kits. It was actually K6 that fucked with my LivingDNA results. Not so much K3.

Ancestry:

Admix Results (sorted):

# Population Percent
1 W_Eurasian 98.61
2 SSA 1.39


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 LBK_EN @ 0.000000
2 Sardinian @ 0.000000

Using 2 populations approximation:
1 50% LBK_EN +50% LBK_EN @ 0.000000
2 50% LBK_EN +50% Sardinian @ 0.000000
3 50% Sardinian +50% Sardinian @ 0.000000



Using 3 populations approximation:
1 50% LBK_EN +25% LBK_EN +25% LBK_EN @ 0.000000


23andme:

Admix Results (sorted):

# Population Percent
1 W_Eurasian 98.30
2 E_Eurasian 1.05


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 French_South @ 0.000000



Using 2 populations approximation:
1 50% Albanian +50% Bergamo @ 0.000000
2 50% Bergamo +50% French @ 0.000000
3 50% Croatian +50% LBK_EN @ 0.000000
4 50% English +50% LBK_EN @ 0.000000
5 50% English +50% Sardinian @ 0.000000
6 50% French +50% LBK_EN @ 0.000000
7 50% French +50% Sardinian @ 0.000000
8 50% French_South +50% French_South @ 0.000000


Using 3 populations approximation:
1 50% Albanian +25% Bergamo +25% Bergamo @ 0.000000


LivingDNA:

Admix Results (sorted):

# Population Percent
1 W_Eurasian 98.48
2 SSA 1.15


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Sardinian @ 0.369419
2 LBK_EN @ 0.523845
3 Bergamo @ 0.637424


Using 2 populations approximation:
1 50% Bergamo +50% Sardinian @ 0.000000
2 50% French_South +50% Sardinian @ 0.000000
3 50% Spanish +50% Stuttgart @ 0.000000


Using 3 populations approximation:
1 50% Bergamo +25% Cypriot +25% Stuttgart @ 0.000000

Done.

Elapsed time 0.0224 seconds.

My Father:

Admix Results (sorted):

# Population Percent
1 W_Eurasian 97.79
2 E_Eurasian 2.02


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 French @ 0.000000


Using 2 populations approximation:
1 50% Bergamo +50% Norwegian @ 0.000000
2 50% Croatian +50% English @ 0.000000
3 50% Czech +50% English @ 0.000000
4 50% Czech +50% French_South @ 0.000000
5 50% French +50% French @ 0.000000
6 50% French_South +50% Norwegian @ 0.000000
7 50% Stuttgart +50% Ukrainian @ 0.000000



Using 3 populations approximation:
1 50% Albanian +25% Croatian +25% English @ 0.000000


My Mom:


Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.41
2 SSA 2.57
3 E_Eurasian 1.02


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Spanish @ 0.750666
2 Sicilian @ 1.051431
3 Cypriot @ 1.092261


Using 2 populations approximation:
1 50% Ashkenazi_Jew +50% Sardinian @ 0.000000
2 50% Cypriot +50% Spanish @ 0.000000
3 50% Iraqi_Jew +50% LBK_EN @ 0.000000
4 50% Iraqi_Jew +50% Sardinian @ 0.000000
5 50% Sicilian +50% Spanish @ 0.000000



Using 3 populations approximation:
1 50% Ashkenazi_Jew +25% Sardinian +25% Sardinian @ 0.000000

[Rethel]

This is rather IE looking woman, than typical farmerian/wuhagean Sardinian

[Bobby Martnen]

Pretty sure this calculator is most useful for people who are recently racially mixed