Post your Gedrosia K3 results

[Norka]

OMG what a shitty calculator is this? Why they still keep holding such outdated calculators on gedmatch I don't understand.

Why what did you get?

[Norka]

Explains my dick size

[Hadouken]

OMG what a shitty calculator is this? Why they still keep holding such outdated calculators on gedmatch I don't understand.

which calculators are good in your opinion ?

[Pahli]

You're the troo African here though, E-V13 slayer

[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

[frankhammer]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 96.81
2 E_Eurasian 3.19


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

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

Least-squares method.

Using 1 population approximation:
1 Norwegian @ 0.255441
2 Hungarian @ 0.589023
3 Czech @ 0.697338
4 Lithuanian @ 0.714404
5 Croatian @ 0.782578
6 Bulgarian @ 0.850435
7 Ukrainian @ 1.542524
8 French @ 1.626652
9 Albanian @ 1.634839
10 Georgian @ 1.798200
11 Greek @ 2.004613
12 English @ 2.114871
13 Belarusian @ 2.465200
14 Armenian @ 2.850337
15 French_South @ 2.919591
16 Spanish @ 2.968821
17 Estonian @ 3.128890
18 Bergamo @ 3.191797
19 Abkhasian @ 3.676889
20 Assyrian @ 3.929721

Using 2 populations approximation:
1 50% Belarusian +50% English @ 0.000000
2 50% Croatian +50% Hungarian @ 0.000000
3 50% Croatian +50% Lithuanian @ 0.000000
4 50% Czech +50% Hungarian @ 0.000000
5 50% Czech +50% Lithuanian @ 0.000000
6 50% English +50% Ukrainian @ 0.000000
7 50% French +50% Ukrainian @ 0.000000
8 50% Hungarian +50% Norwegian @ 0.000000
9 50% Lithuanian +50% Norwegian @ 0.000000
10 50% Loschbour +50% Stuttgart @ 0.000000
11 50% Norwegian +50% Norwegian @ 0.255441
12 50% Bergamo +50% Estonian @ 0.300550
13 50% Croatian +50% Ukrainian @ 0.304367
14 50% Bulgarian +50% Norwegian @ 0.360400
15 50% Albanian +50% Ukrainian @ 0.376450
16 50% French +50% Lithuanian @ 0.388291
17 50% Estonian +50% French_South @ 0.394243
18 50% Belarusian +50% French @ 0.400009
19 50% Belarusian +50% French_South @ 0.408042
20 50% Czech +50% Ukrainian @ 0.423636


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

[Pennywise]

Why what did you get?

Lots of Finnish, Mordvin, Russian etc. with 1-2 distances. Proves it's worthless.

which calculators are good in your opinion ?

It depends on populations you want to run.

[Journeyman26]

Eurasia K3 Oracle

Admix Results (sorted):

# Population Percent
1 W_Eurasian 98.04
2 E_Eurasian 1.17


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

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

Least-squares method.

Using 1 population approximation:
1 French_South @ 0.544571
2 English @ 0.793851
3 Bergamo @ 0.818068
4 Albanian @ 0.912440
5 French @ 0.913062
6 Greek @ 0.915557
7 Sardinian @ 1.438599
8 LBK_EN @ 1.466929
9 Spanish @ 1.664313
10 Croatian @ 1.743622
11 Czech @ 1.849957
12 Norwegian @ 2.167828
13 Stuttgart @ 2.412588
14 Bulgarian @ 2.487316
15 Hungarian @ 3.013787
16 Lithuanian @ 3.164556
17 Sicilian @ 3.454289
18 Georgian @ 3.504158
19 Cypriot @ 3.516274
20 Armenian @ 3.844924

Using 2 populations approximation:
1 50% Albanian +50% Bergamo @ 0.000000
2 50% Albanian +50% French_South @ 0.000000
3 50% Albanian +50% LBK_EN @ 0.000000
4 50% Albanian +50% Sardinian @ 0.000000
5 50% Bergamo +50% Greek @ 0.000000
6 50% Croatian +50% LBK_EN @ 0.000000
7 50% Croatian +50% Sardinian @ 0.000000
8 50% Czech +50% LBK_EN @ 0.000000
9 50% Czech +50% Sardinian @ 0.000000
10 50% French +50% Sardinian @ 0.000000
11 50% French_South +50% Greek @ 0.000000
12 50% French +50% LBK_EN @ 0.262123
13 50% LBK_EN +50% Norwegian @ 0.298231
14 50% Norwegian +50% Sardinian @ 0.298231
15 50% Bergamo +50% French @ 0.321059
16 50% French +50% French_South @ 0.322309
17 50% Greek +50% LBK_EN @ 0.503622
18 50% English +50% Greek @ 0.519813
19 50% English +50% French_South @ 0.535382
20 50% Bulgarian +50% Stuttgart @ 0.541845

[Norka]

You're the troo African here though, E-V13 slayer

Oooooo mama Africa calls.

[Norka]

Lots of Finnish, Mordvin, Russian etc. with 1-2 distances. Proves it's worthless.



It depends on populations you want to run.

Fair enough, you should post your results. You are Turk?