New K9 results

[SwampThing26]

If you have had yours recently done by Davidski, share them here.

Mine:

Oceanian .03606%
European 48.95%
EEF 31.8246%
East_Asian .001%
South_Asian 2.1088%
Central_Asian 15.5131%
Amerindian .02273%
Siberian .001%
Sub-Saharan 1.0581%

Oracle:

1-English@ 2.9767022689883
2-Hungarian@ 5.19981634789874
3-Scottish@ 5.32654541136889
4-Czech@ 6.04197702724033
5-Orcadian@ 6.90500617016379
6-Croatian@ 7.29988126563714
7-French@ 7.32204119295506
8-Norwegian@ 7.81775049653672
9-Serbian_Bosnia@ 8.05401111252182
10-Icelandic@ 8.50699298930412
11-HungaryGamba_BA@ 8.73460106759318
12-Bosnian@ 8.778282317419
13-Bell_Beaker_LN@ 9.98576828741785
14-Ukrainian_Poltava@ 10.1578540912734
15-Ukrainian_Lviv@ 10.953948168735
16-Serbian@ 11.6475221351836
17-Ukrainian_Kharkov@ 11.8900501975391
18-Ukrainian@ 12.2872564251959
19-Montenegrin@ 13.2525827557734
20-Polish@ 13.4746738817373

[Thrax]

Which calculator is this? I don't think I've seen it before

[Geni]

Population

Mediterranean 33.82%
North European 31.93%
Caucasus 24.09%
Southwest Asian 8.84%

but seem the old K9..

[Petalpusher]

Yes, not the Euro k9. Swampthing, tell us your secret.

[Gaston]

You have to pay 20$ (crowdfunding) for K8, K6 Yamnaya and the latest K9. You receive your results by e-mail.

[Thrax]

I already have my K8 results, I don't want to pay him more.

[Thrax]

Population

Mediterranean 33.82%
North European 31.93%
Caucasus 24.09%
Southwest Asian 8.84%

but seem the old K9..

We have very similar results as always.
Mine:
North European: 31.03
Mediterranean: 30.54
Caucasus: 28.71
SW Asian: 9.32

[Geni]

Clear ...we are balkans soons..

[Longbowman]

I already have my K8 results, I don't want to pay him more.

You don't need to. If you've already paid he'll do them, I think.

K9

EEF: 52.39%
Central Asian: 25.91%
European: 17.90%
Amerindian: 1.26%
Sub-Saharan: 1.23%
Siberian: 0.99%
East Asian: 0.28%
Oceanian: nope.
South Asian: nope.

[Neon Knight]

K9
Dog: 0%
Fox: 0%
Wolf: 0%
Jackal: 0%
Coyote: 0%

[SwampThing26]

I already have my K8 results, I don't want to pay him more.

I didn't pay any more. Just emailed and asked nicely.

[Longbowman]

I didn't pay any more. Just emailed and asked nicely.

How did you get the oracle?

[Thrax]

Yay, he made mine as well. Here they are:

Oceanian 0.4545
Siberian 0.4615
Sub-Saharan 0.001
East Asian 0.3468
Central Asian 25.0223
South Asian 0.001
Amerindian 0.2362
EEF 46.0614
European 27.4152

[SwampThing26]

How did you get the oracle?

Spreadsheet in the thread on anthrogenica. Cant get to my PC right now.

[Longbowman]

1 1-South_Italian@ 2.14897834957554
2 2-East_Sicilian@ 2.68851747191645
3 3-Ashkenazi_Jew@ 2.80536391327728
4 4-Maltese@ 3.99726072638344
5 5-Sicilian@ 4.67938585668061
6 6-Turkish_Jew@ 5.83859648682262
7 7-Sephardic_Jewish@ 6.50383621269823
8 8-West_Sicilian@ 6.94873462945773
9 9-Greek@ 9.63801266102376
10 10-Moroccan_Jewish@ 9.71279098056898
11 11-Moroccan_Jew@ 9.81686137539641
12 12-Tuscan@ 13.2019867729808
13 13-Libyan_Jew@ 13.4036866969211
14 14-Cyprian@ 13.4863490673911
15 15-Cypriot@ 14.1575738359257
16 16-Albanian@ 14.4026654847192
17 17-Kosovar@ 16.7795084199982
18 18-Lebanese@ 17.8242650085188
19 19-Lebanese_Muslim@ 18.0468927888224
20 20-Bergamo@ 18.6887964999514

[Highlands]

We have very similar results as always.
Mine:
North European: 31.03
Mediterranean: 30.54
Caucasus: 28.71
SW Asian: 9.32

very similar

South Asian -
Caucasus 24.14%
Southwest Asian 9.72%
North Amerindian + Arctic -
Siberian -
Mediterranean 32.65%
East Asian -
West African -
North European 33.49%

[Sikeliot]

I'd like to see my results for this. The only thing I can predict is I'd get probably 8% Southwest Asian, since I always score one percentage point lower than Thana and Thrax.

[Longbowman]

I'd like to see my results for this. The only thing I can predict is I'd get probably 8% Southwest Asian, since I always score one percentage point lower than Thana and Thrax.

Thana and Thrax are not posting on-topic. They're using the old K9b, we're talking about the K9 that came out last week. There's no 'southwest asian' in the new K9.

[Longbowman]

Can I be Albanian now?

Least-squares method.

Using 1 population approximation:
1 South_Italian @ 1.810307
2 East_Sicilian @ 2.889752
3 Ashkenazi_Jew @ 3.418418
4 Maltese @ 4.196213
5 Sicilian @ 4.873457
6 Turkish_Jew @ 5.730282
7 Sephardic_Jewish @ 6.345424
8 West_Sicilian @ 7.098191
9 Moroccan_Jewish @ 9.56596
10 Moroccan_Jew @ 9.657298
11 Greek @ 9.875634
12 Libyan_Jew @ 13.243405
13 Tuscan @ 13.326953
14 Cyprian @ 13.327907
15 Cypriot @ 13.993114
16 Albanian @ 14.651781
17 Kosovar @ 17.010946
18 Lebanese @ 17.907178
19 Lebanese_Muslim @ 18.088259
20 Bergamo @ 18.805142
207 iterations.

Using 2 populations approximation:
1 Cypriot+Tuscan @ 1.635505
2 Cyprian+Tuscan @ 1.679184
3 South_Italian+South_Italian @ 1.810307
4 Ashkenazi_Jew+South_Italian @ 1.970508
5 Bergamo+Lebanese_Christian @ 1.992669
6 Bergamo+Druze @ 2.014645
7 Macedonian+Samaritan @ 2.115914
8 East_Sicilian+South_Italian @ 2.130161
9 Turkish_Jew+West_Sicilian @ 2.503596
10 Bulgarian+Samaritan @ 2.536563
11 Greek+Moroccan_Jew @ 2.552032
12 Greek+Sephardic_Jewish @ 2.557231
13 Romanian+Samaritan @ 2.62723
14 Sephardic_Jewish+West_Sicilian @ 2.630241
15 Montenegrin+Samaritan @ 2.652269
16 Ashkenazi_Jew+Turkish_Jew @ 2.694424
17 Maltese+South_Italian @ 2.705003
18 Adygei+LBK_EN @ 2.711801
19 Sicilian+Turkish_Jew @ 2.719146
20 Greek+Turkish_Jew @ 2.734484
21528 iterations.

Using 3 populations approximation:
1 50% South_Italian +25% Macedonian +25% Samaritan @ 1.206497
2 50% Greek +25% Maltese +25% Samaritan @ 1.302301
3 50% Samaritan +25% Serbian_Bosnia +25% Tuscan @ 1.323638
4 50% Samaritan +25% Orcadian +25% South_Italian @ 1.331719
5 50% Samaritan +25% Scottish +25% South_Italian @ 1.343836
6 50% Maltese +25% Georgian +25% Sardinian @ 1.344372
7 50% South_Italian +25% Cyprian +25% Tuscan @ 1.366909
8 50% Samaritan +25% Croatian +25% Tuscan @ 1.374585
9 50% Samaritan +25% East_Sicilian +25% Scottish @ 1.374811
10 50% South_Italian +25% Bulgarian +25% Samaritan @ 1.396349
11 50% Maltese +25% Esperstedt_MN +25% Georgian @ 1.396746
12 50% West_Sicilian +25% Cyprian +25% South_Italian @ 1.401921
13 50% South_Italian +25% Romanian +25% Samaritan @ 1.402634
14 50% Samaritan +25% Icelandic +25% South_Italian @ 1.404851
15 50% South_Italian +25% Montenegrin +25% Samaritan @ 1.416966
16 50% Samaritan +25% Norwegian +25% South_Italian @ 1.421836
17 50% West_Sicilian +25% Greek +25% Samaritan @ 1.431446
18 50% Samaritan +25% East_Sicilian +25% Orcadian @ 1.434397
19 50% Greek +25% Samaritan +25% Sicilian @ 1.437527
20 50% Greek +25% East_Sicilian +25% Samaritan @ 1.45494
1828949 iterations.

Using 4 populations approximation:
1 Macedonian+Samaritan+South_Italian+South_Italian @ 1.206497
2 Georgian+Macedonian+Moroccan_Jew+Stuttgart @ 1.209579
3 Georgian+Kosovar+Moroccan_Jew+Spain_EN @ 1.295035
4 Georgian+LBK_EN+Macedonian+Moroccan_Jew @ 1.300915
5 Greek+Greek+Maltese+Samaritan @ 1.302301
6 Esperstedt_MN+Georgian+Moroccan_Jew+West_Sicilian @ 1.317054
7 Samaritan+Samaritan+Serbian_Bosnia+Tuscan @ 1.323638
8 Esperstedt_MN+Georgian+Maltese+South_Italian @ 1.32693
9 Orcadian+Samaritan+Samaritan+South_Italian @ 1.331719
10 Bulgarian+Georgian+Moroccan_Jew+Stuttgart @ 1.336695
11 Samaritan+Samaritan+Scottish+South_Italian @ 1.343836
12 Georgian+Maltese+Maltese+Sardinian @ 1.344372
13 Georgian+Libyan_Jew+Montenegrin+Stuttgart @ 1.346244
14 Abkhasian+Kosovar+LBK_EN+Moroccan_Jew @ 1.359107
15 Kosovar+Samaritan+South_Italian+West_Sicilian @ 1.360793
16 Georgian+LBK_EN+Libyan_Jew+Macedonian @ 1.362121
17 Cyprian+South_Italian+South_Italian+Tuscan @ 1.366909
18 Georgian+LBK_EN+Libyan_Jew+Montenegrin @ 1.370302
19 Georgian+Moroccan_Jew+Sicilian+Spain_MN @ 1.372302
20 Croatian+Samaritan+Samaritan+Tuscan @ 1.374585
21 East_Sicilian+Samaritan+Samaritan+Scottish @ 1.374811
22 East_Sicilian+Macedonian+Samaritan+South_Italian @ 1.384461
23 Abkhasian+Kosovar+Moroccan_Jew+Spain_EN @ 1.390415
24 Georgian+Moroccan_Jew+Romanian+Stuttgart @ 1.391386
25 Bulgarian+Samaritan+South_Italian+South_Italian @ 1.396349
26 Esperstedt_MN+Georgian+Maltese+Maltese @ 1.396746
27 Georgian+Libyan_Jew+Macedonian+Spain_EN @ 1.399535
28 Abkhasian+Maltese+Spain_EN+West_Sicilian @ 1.399542
29 Georgian+Moroccan_Jew+Spain_MN+West_Sicilian @ 1.39963
30 East_Sicilian+Georgian+Maltese+Sardinian @ 1.401166
31 Cyprian+South_Italian+West_Sicilian+West_Sicilian @ 1.401921
32 Bulgarian+Georgian+LBK_EN+Moroccan_Jew @ 1.402621
33 Romanian+Samaritan+South_Italian+South_Italian @ 1.402634
34 Icelandic+Samaritan+Samaritan+South_Italian @ 1.404851
35 Georgian+Macedonian+Moroccan_Jewish+Stuttgart @ 1.41286
36 Georgian+Kosovar+Moroccan_Jewish+Spain_EN @ 1.416659
37 Montenegrin+Samaritan+South_Italian+South_Italian @ 1.416966
38 Cyprian+French+Samaritan+South_Italian @ 1.420758
39 Albanian+Greek+Samaritan+South_Italian @ 1.421779
40 Norwegian+Samaritan+Samaritan+South_Italian @ 1.421836
5431429 iterations.


Gaussian method.
Noise dispersion set to 0.584552

Using 1 population approximation:
1 South_Italian @ 3.950968
2 West_Sicilian @ 4.576625
3 East_Sicilian @ 4.755056
4 Maltese @ 4.945129
5 Sicilian @ 5.104476
6 Greek @ 5.198998
7 Turkish_Jew @ 5.342114
8 Ashkenazi_Jew @ 5.342653
9 Sephardic_Jewish @ 5.613855
10 Tuscan @ 5.727695
11 Moroccan_Jew @ 6.172823
12 Moroccan_Jewish @ 6.276217
13 Albanian @ 6.659947
14 Kosovar @ 6.685709
15 Bergamo @ 7.344461
16 Cyprian @ 7.615107
17 Libyan_Jew @ 7.684558
18 Macedonian @ 8.165811
19 Cypriot @ 8.18043
20 Bulgarian @ 8.520063
207 iterations.

Using 2 populations approximation:
1 Kosovar+Samaritan @ 3.729819
2 Macedonian+Samaritan @ 3.740563
3 Bergamo+Samaritan @ 3.862292
4 Montenegrin+Samaritan @ 3.871651
5 South_Italian+South_Italian @ 3.950968
6 Samaritan+Serbian @ 4.109873
7 South_Italian+West_Sicilian @ 4.125998
8 Greek+South_Italian @ 4.146388
9 Samaritan+Tuscan @ 4.149741
10 Cyprian+Tuscan @ 4.226845
11 Cypriot+Tuscan @ 4.269748
12 Bergamo+Lebanese_Christian @ 4.273895
13 French+Samaritan @ 4.345542
14 East_Sicilian+South_Italian @ 4.357648
15 Bergamo+Cypriot @ 4.362862
16 Bulgarian+Samaritan @ 4.370037
17 Bergamo+Cyprian @ 4.379826
18 Croatian+Samaritan @ 4.383096
19 Samaritan+Serbian_Bosnia @ 4.40222
20 Cyprian+Kosovar @ 4.414819
21528 iterations.

Using 3 populations approximation:
1 50% Samaritan +25% Corded_Ware_LN +25% LBK_EN @ 3.49125
2 50% Samaritan +25% Corded_Ware_LN +25% Stuttgart @ 3.515982
3 50% South_Italian +25% Esperstedt_MN +25% Georgian @ 3.584578
4 50% Samaritan +25% LBK_EN +25% Yamnaya @ 3.597926
5 50% Samaritan +25% Orcadian +25% South_Italian @ 3.605509
6 50% South_Italian +25% Georgian +25% Spain_MN @ 3.617031
7 50% Samaritan +25% Stuttgart +25% Yamnaya @ 3.617092
8 50% Samaritan +25% Orcadian +25% West_Sicilian @ 3.620028
9 50% Samaritan +25% Greek +25% HungaryGamba_BA @ 3.63342
10 50% Samaritan +25% Corded_Ware_LN +25% Esperstedt_MN @ 3.642178
11 50% Samaritan +25% Corded_Ware_LN +25% Spain_EN @ 3.654557
12 50% West_Sicilian +25% Georgian +25% LBK_EN @ 3.661474
13 50% Samaritan +25% Greek +25% Orcadian @ 3.668063
14 50% Samaritan +25% Orcadian +25% Tuscan @ 3.67197
15 50% Samaritan +25% Bergamo +25% Macedonian @ 3.677753
16 50% West_Sicilian +25% Georgian +25% Stuttgart @ 3.684597
17 50% Samaritan +25% HungaryGamba_BA +25% Kosovar @ 3.68972
18 50% Samaritan +25% Kosovar +25% Macedonian @ 3.693915
19 50% Samaritan +25% HungaryGamba_BA +25% South_Italian @ 3.704865
20 50% Samaritan +25% Kosovar +25% Montenegrin @ 3.715163
2844270 iterations.

Using 4 populations approximation:
1 Georgian+LBK_EN+Orcadian+Samaritan @ 3.424051
2 Georgian+Orcadian+Samaritan+Stuttgart @ 3.425159
3 Corded_Ware_LN+LBK_EN+Samaritan+Samaritan @ 3.49125
4 Corded_Ware_LN+Samaritan+Samaritan+Stuttgart @ 3.515982
5 Georgian+LBK_EN+Samaritan+Scottish @ 3.552574
6 Georgian+Samaritan+Scottish+Stuttgart @ 3.555811
7 Georgian+HungaryGamba_BA+LBK_EN+Samaritan @ 3.566254
8 Bergamo+Georgian+Samaritan+Spain_MN @ 3.580515
9 Georgian+HungaryGamba_BA+Samaritan+Stuttgart @ 3.583802
10 Esperstedt_MN+Georgian+South_Italian+South_Italian @ 3.584578
11 Bergamo+Esperstedt_MN+Georgian+Samaritan @ 3.593991
12 LBK_EN+Samaritan+Samaritan+Yamnaya @ 3.597926
13 Orcadian+Samaritan+Samaritan+South_Italian @ 3.605509
14 Bell_Beaker_LN+Georgian+Samaritan+Stuttgart @ 3.606653
15 Georgian+Kosovar+Samaritan+Spain_MN @ 3.607172
16 Esperstedt_MN+Georgian+Kosovar+Samaritan @ 3.610038
17 Georgian+Samaritan+Spain_MN+Tuscan @ 3.613569
18 Bell_Beaker_LN+Georgian+LBK_EN+Samaritan @ 3.613946
19 Georgian+South_Italian+South_Italian+Spain_MN @ 3.617031
20 Samaritan+Samaritan+Stuttgart+Yamnaya @ 3.617092
21 Esperstedt_MN+Georgian+Macedonian+Samaritan @ 3.618723
22 Orcadian+Samaritan+Samaritan+West_Sicilian @ 3.620028
23 Georgian+Icelandic+Samaritan+Stuttgart @ 3.627744
24 Georgian+LBK_EN+South_Italian+Tuscan @ 3.628778
25 Georgian+Icelandic+LBK_EN+Samaritan @ 3.630538
26 Greek+HungaryGamba_BA+Samaritan+Samaritan @ 3.63342
27 Corded_Ware_LN+Esperstedt_MN+Samaritan+Samaritan @ 3.642178
28 Esperstedt_MN+Georgian+South_Italian+West_Sicilian @ 3.642658
29 Georgian+Orcadian+Samaritan+Spain_EN @ 3.642684
30 English+Georgian+LBK_EN+Samaritan @ 3.652638
31 Georgian+South_Italian+Stuttgart+Tuscan @ 3.652644
32 Esperstedt_MN+Georgian+Montenegrin+Samaritan @ 3.654051
33 Corded_Ware_LN+Samaritan+Samaritan+Spain_EN @ 3.654557
34 French+Georgian+LBK_EN+Samaritan @ 3.65916
35 English+Georgian+Samaritan+Stuttgart @ 3.660115
36 Georgian+LBK_EN+West_Sicilian+West_Sicilian @ 3.661474
37 Czech+Georgian+LBK_EN+Samaritan @ 3.662324
38 Czech+Georgian+Samaritan+Stuttgart @ 3.665186
39 Georgian+Kosovar+LBK_EN+South_Italian @ 3.667824
40 Greek+Orcadian+Samaritan+Samaritan @ 3.668063
20414838 iterations.

[Thrax]

Will any kind soul calculate my Oracle results for K9 as well?

[Iloko]

Proportions:
http://i.imgur.com/6T68eeW.jpg

Plot:
http://i.imgur.com/eBEC5rH.jpg

[Black Wolf]

Here are mine. When it comes to my Oracle results the Gaussian method seems to give me lower (closer) overall scores.

K9

Oceanian-0.9%

European-46.0%

EEF-28.4%

East_Asian-1.3%

South_Asian-0.4%

Central_Asian-21.1%

Amerindian-0.7%

Siberia-0.8%

Sub-Saharan-0.0%


The Gaussian method seems to give lower distances for me.

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 2.980116
2 Bosnian @ 5.087637
3 Serbian_Bosnia @ 5.101173
4 Czech @ 5.463776
5 Croatian @ 5.666859
6 Utah_German @ 6.930919
7 English @ 7.468284
8 Ukrainian_Poltava @ 7.601362
9 Scottish @ 7.807748
10 Ukrainian_Lviv @ 8.185614
11 Orcadian @ 8.259132
12 Ukrainian @ 8.914704
13 Norwegian @ 9.546264
14 Serbian @ 9.897679
15 Icelandic @ 10.018153
16 Utah_Scandinavian @ 10.026612
17 Ukrainian_Kharkov @ 10.05651
18 Bell_Beaker_LN @ 11.536292
19 French @ 11.744062
20 Montenegrin @ 11.759133
208 iterations.

Using 2 populations approximation:
1 Belarusian+Romanian @ 1.246407
2 Serbian+Ukrainian @ 1.431155
3 Montenegrin+Russian @ 1.457706
4 Belarusian+Macedonian @ 1.627804
5 Polish+Romanian @ 1.651588
6 Serbian+Ukrainian_Kharkov @ 1.657896
7 Belarusian+Bulgarian @ 1.658239
8 Belarusian+Montenegrin @ 1.72201
9 Serbian+Ukrainian_Lviv @ 1.73219
10 Estonian+Kosovar @ 1.799548
11 Macedonian+Russian @ 1.8152
12 Montenegrin+Ukrainian_Kharkov @ 1.967714
13 Bosnian+Ukrainian_Poltava @ 2.001368
14 Montenegrin+Ukrainian @ 2.015164
15 Serbian+Ukrainian_Poltava @ 2.040575
16 Russian+Serbian @ 2.051831
17 Bulgarian+Polish @ 2.062651
18 Belarusian+Serbian @ 2.114531
19 Romanian+Russian @ 2.116458
20 Romanian+Ukrainian_Kharkov @ 2.125913
21736 iterations.

Using 3 populations approximation:
1 50% Belarusian +25% Ashkenazi_Jew +25% Ukrainian_Kharkov @ 1.037813
2 50% Montenegrin +25% Moksha +25% Ukrainian_Kharkov @ 1.064279
3 50% Bell_Beaker_LN +25% Neolithic_Hungary +25% North_Ossetian @ 1.072151
4 50% Bulgarian +25% Estonian +25% Ukrainian_Kharkov @ 1.07735
5 50% Bell_Beaker_LN +25% Balkar +25% Neolithic_Hungary @ 1.078467
6 50% Utah_Scandinavian +25% Balkar +25% Neolithic_Hungary @ 1.09793
7 50% Ukrainian_Kharkov +25% Russian +25% West_Sicilian @ 1.114795
8 50% Utah_Scandinavian +25% Neolithic_Hungary +25% North_Ossetian @ 1.116012
9 50% Montenegrin +25% Russian +25% Ukrainian_Kharkov @ 1.131236
10 50% Ukrainian_Kharkov +25% Moksha +25% West_Sicilian @ 1.134569
11 50% Ukrainian_Poltava +25% Ashkenazi_Jew +25% Estonian @ 1.137874
12 50% Ukrainian_Kharkov +25% Russian +25% Sicilian @ 1.164264
13 50% Belarusian +25% East_Sicilian +25% Ukrainian_Kharkov @ 1.175789
14 50% Ukrainian_Lviv +25% Ashkenazi_Jew +25% Estonian @ 1.184887
15 50% Belarusian +25% Belarusian +25% South_Italian @ 1.191018
16 50% Ukrainian_Kharkov +25% Greek +25% Ukrainian_Lviv @ 1.193397
17 50% Estonian +25% Ashkenazi_Jew +25% Bosnian @ 1.195438
18 50% Belarusian +25% Belarusian +25% East_Sicilian @ 1.212847
19 50% Russian +25% English +25% Greek @ 1.225724
20 50% Estonian +25% Ashkenazi_Jew +25% Serbian_Bosnia @ 1.23337
1856590 iterations.

Using 4 populations approximation:
1 Balkar+Corded_Ware_LN+Loschbour+Stuttgart @ 0.942921
2 Corded_Ware_LN+Loschbour+North_Ossetian+Stuttgart @ 0.96087
3 Romanian+Russian+Serbian+Ukrainian_Kharkov @ 0.993357
4 HungaryGamba_BA+Motala12+North_Ossetian+West_Sicil ian @ 0.998104
5 Balkar+Bell_Beaker_LN+Neolithic_Hungary+Utah_Scand inavian @ 1.002778
6 Balkar+French+Loschbour+Tuscan @ 1.007526
7 Bell_Beaker_LN+Neolithic_Hungary+North_Ossetian+Ut ah_Scandinavian @ 1.009351
8 French+Loschbour+North_Ossetian+Tuscan @ 1.01158
9 French+Motala12+North_Ossetian+Tuscan @ 1.015804
10 Balkar+HungaryGamba_BA+Motala12+West_Sicilian @ 1.026906
11 Balkar+French+Motala12+Tuscan @ 1.032344
12 Balkar+Corded_Ware_LN+LBK_EN+Loschbour @ 1.036327
13 Ashkenazi_Jew+Belarusian+Belarusian+Ukrainian_Khar kov @ 1.037813
14 Corded_Ware_LN+LBK_EN+Loschbour+North_Ossetian @ 1.052401
15 Estonian+South_Italian+Ukrainian+Ukrainian_Kharkov @ 1.063309
16 Moksha+Montenegrin+Montenegrin+Ukrainian_Kharkov @ 1.064279
17 Balkar+Bell_Beaker_LN+Icelandic+Neolithic_Hungary @ 1.06766
18 Macedonian+Russian+Serbian+Ukrainian_Kharkov @ 1.068992
19 Bell_Beaker_LN+Bell_Beaker_LN+Neolithic_Hungary+No rth_Ossetian @ 1.072151
20 Bell_Beaker_LN+Icelandic+Neolithic_Hungary+North_O ssetian @ 1.07602
21 Bulgarian+Bulgarian+Estonian+Ukrainian_Kharkov @ 1.07735
22 Balkar+Bell_Beaker_LN+Bell_Beaker_LN+Neolithic_Hun gary @ 1.078467
23 Greek+Moksha+Scottish+Ukrainian_Kharkov @ 1.082153
24 Czech+Greek+Russian+Ukrainian_Kharkov @ 1.093773
25 Balkar+HungaryGamba_BA+Loschbour+Sicilian @ 1.094829
26 Balkar+Neolithic_Hungary+Utah_Scandinavian+Utah_Sc andinavian @ 1.09793
27 HungaryGamba_BA+Loschbour+North_Ossetian+Sicilian @ 1.098464
28 Adygei+Macedonian+Motala12+Spanish @ 1.100849
29 Estonian+South_Italian+Ukrainian_Kharkov+Ukrainian _Lviv @ 1.103213
30 Greek+Moksha+Ukrainian_Kharkov+Utah_German @ 1.11121
31 Bulgarian+Russian+Serbian+Ukrainian_Kharkov @ 1.111591
32 Belarusian+East_Sicilian+Russian+Ukrainian_Kharkov @ 1.114541
33 Russian+Ukrainian_Kharkov+Ukrainian_Kharkov+West_S icilian @ 1.114795
34 Macedonian+Motala12+North_Ossetian+Spanish @ 1.115766
35 Neolithic_Hungary+North_Ossetian+Utah_Scandinavian +Utah_Scandinavian @ 1.116012
36 Romanian+Serbian_Bosnia+Ukrainian+Ukrainian_Kharko v @ 1.116367
37 Greek+Moksha+Orcadian+Ukrainian_Kharkov @ 1.117828
38 Ashkenazi_Jew+Estonian+Ukrainian_Lviv+Ukrainian_Po ltava @ 1.12061
39 Adygei+HungaryGamba_BA+Motala12+West_Sicilian @ 1.120708
40 Moksha+Montenegrin+Serbian+Ukrainian_Kharkov @ 1.122215
5463260 iterations.


Gaussian method.
Noise dispersion set to 0.584552

Using 1 population approximation:
1 Serbian_Bosnia @ 0.717519
2 Croatian @ 1.166977
3 Hungarian @ 2.065061
4 Czech @ 2.461401
5 Bosnian @ 3.07512
6 Ukrainian_Poltava @ 3.344542
7 Serbian @ 3.687123
8 Ukrainian_Lviv @ 3.71312
9 English @ 3.718622
10 Montenegrin @ 4.012161
11 Utah_German @ 4.183269
12 Ukrainian @ 4.195605
13 Scottish @ 4.605028
14 Ukrainian_Kharkov @ 4.63527
15 Utah_Scandinavian @ 4.766292
16 Polish @ 4.807265
17 Icelandic @ 4.88771
18 Orcadian @ 4.90091
19 Belarusian @ 5.013392
20 Macedonian @ 5.060371
208 iterations.

Using 2 populations approximation:
1 Lithuanian+Macedonian @ 0.152728
2 Belarusian+Montenegrin @ 0.260411
3 Kosovar+Lithuanian @ 0.268522
4 Croatian+Ukrainian_Poltava @ 0.272737
5 Czech+Serbian_Bosnia @ 0.290687
6 Serbian_Bosnia+Ukrainian_Poltava @ 0.303103
7 Lithuanian+Montenegrin @ 0.314969
8 Montenegrin+Polish @ 0.322683
9 Belarusian+Macedonian @ 0.366691
10 Macedonian+Polish @ 0.459249
11 Croatian+Czech @ 0.466762
12 Serbian_Bosnia+Ukrainian_Lviv @ 0.48232
13 Montenegrin+Ukrainian_Lviv @ 0.489223
14 Croatian+Ukrainian_Kharkov @ 0.552734
15 Montenegrin+Ukrainian_Poltava @ 0.604766
16 Croatian+Ukrainian_Lviv @ 0.685447
17 Serbian+Ukrainian_Kharkov @ 0.700689
18 Croatian+Serbian_Bosnia @ 0.709747
19 Serbian_Bosnia+Serbian_Bosnia @ 0.717519
20 Belarusian+Serbian @ 0.729935
21736 iterations.

Using 3 populations approximation:
1 50% Serbian_Bosnia +25% Lithuanian +25% Montenegrin @ 0.052172
2 50% Croatian +25% Lithuanian +25% Montenegrin @ 0.057238
3 50% Serbian_Bosnia +25% Lithuanian +25% Macedonian @ 0.067082
4 50% Serbian_Bosnia +25% Croatian +25% Lithuanian @ 0.068092
5 50% Serbian_Bosnia +25% Lithuanian +25% Serbian_Bosnia @ 0.068189
6 50% Croatian +25% Lithuanian +25% Macedonian @ 0.069213
7 50% Croatian +25% Lithuanian +25% Serbian_Bosnia @ 0.072996
8 50% Montenegrin +25% Lithuanian +25% Serbian_Bosnia @ 0.074377
9 50% Montenegrin +25% Croatian +25% Lithuanian @ 0.074904
10 50% Neolithic_Hungary +25% Abkhasian +25% Lithuanian @ 0.081151
11 50% Serbian_Bosnia +25% Lithuanian +25% Serbian @ 0.082705
12 50% Croatian +25% Croatian +25% Lithuanian @ 0.084135
13 50% Croatian +25% Lithuanian +25% Serbian @ 0.104041
14 50% Lithuanian +25% Greek +25% Montenegrin @ 0.107316
15 50% Croatian +25% Croatian +25% Ukrainian_Kharkov @ 0.109732
16 50% Montenegrin +25% Lithuanian +25% Ukrainian_Kharkov @ 0.118162
17 50% Montenegrin +25% Czech +25% Lithuanian @ 0.121077
18 50% Serbian_Bosnia +25% Polish +25% Serbian_Bosnia @ 0.121505
19 50% Croatian +25% Serbian_Bosnia +25% Ukrainian_Kharkov @ 0.121786
20 50% Serbian_Bosnia +25% Croatian +25% Polish @ 0.124494
2809743 iterations.

Using 4 populations approximation:
1 Lithuanian+Montenegrin+Serbian_Bosnia+Serbian_Bosn ia @ 0.052172
2 Croatian+Lithuanian+Montenegrin+Serbian_Bosnia @ 0.052673
3 Croatian+Croatian+Lithuanian+Montenegrin @ 0.057238
4 Abkhasian+HungaryGamba_BA+Lithuanian+Neolithic_Hun gary @ 0.064846
5 Georgian+Loschbour+Spain_MN+Ukrainian_Kharkov @ 0.065472
6 Croatian+Lithuanian+Macedonian+Serbian_Bosnia @ 0.065532
7 Lithuanian+Macedonian+Serbian_Bosnia+Serbian_Bosni a @ 0.067082
8 Croatian+Lithuanian+Serbian_Bosnia+Serbian_Bosnia @ 0.068092
9 Lithuanian+Serbian_Bosnia+Serbian_Bosnia+Serbian_B osnia @ 0.068189
10 Croatian+Croatian+Lithuanian+Macedonian @ 0.069213
11 Croatian+Croatian+Lithuanian+Serbian_Bosnia @ 0.072996
12 Lithuanian+Montenegrin+Montenegrin+Serbian_Bosnia @ 0.074377
13 Georgian+HungaryGamba_BA+Loschbour+Montenegrin @ 0.074589
14 Croatian+Lithuanian+Montenegrin+Montenegrin @ 0.074904
15 Abkhasian+Lithuanian+Neolithic_Hungary+Neolithic_H ungary @ 0.081151
16 Lithuanian+Serbian+Serbian_Bosnia+Serbian_Bosnia @ 0.082705
17 Croatian+Croatian+Croatian+Lithuanian @ 0.084135
18 Abkhasian+HungaryGamba_BA+Loschbour+Montenegrin @ 0.089151
19 Croatian+Lithuanian+Serbian+Serbian_Bosnia @ 0.089341
20 Croatian+Kosovar+Lithuanian+Ukrainian_Kharkov @ 0.093547
21 Esperstedt_MN+Georgian+Loschbour+Ukrainian_Kharkov @ 0.094154
22 Lithuanian+Montenegrin+Serbian+Serbian_Bosnia @ 0.099051
23 Kosovar+Lithuanian+Montenegrin+Ukrainian_Kharkov @ 0.10123
24 Abkhasian+HungaryGamba_BA+Kosovar+Loschbour @ 0.10167
25 Croatian+Croatian+Lithuanian+Serbian @ 0.104041
26 Abkhasian+HungaryGamba_BA+Loschbour+Macedonian @ 0.104191
27 Greek+Lithuanian+Lithuanian+Montenegrin @ 0.107316
28 Croatian+Lithuanian+Montenegrin+Serbian @ 0.108314
29 Abkhasian+Loschbour+Spain_MN+Ukrainian_Poltava @ 0.108637
30 Croatian+Croatian+Croatian+Ukrainian_Kharkov @ 0.109732
31 Kosovar+Lithuanian+Serbian_Bosnia+Ukrainian_Kharko v @ 0.112093
32 Georgian+HungaryGamba_BA+Loschbour+Macedonian @ 0.112198
33 Croatian+Lithuanian+Macedonian+Montenegrin @ 0.113952
34 Lithuanian+Macedonian+Montenegrin+Serbian_Bosnia @ 0.115966
35 Lithuanian+Macedonian+Montenegrin+Ukrainian_Kharko v @ 0.116993
36 Lithuanian+Montenegrin+Montenegrin+Ukrainian_Khark ov @ 0.118162
37 Abkhasian+Greek+Loschbour+Neolithic_Hungary @ 0.118366
38 Abkhasian+Loschbour+Spain_MN+Ukrainian_Kharkov @ 0.120524
39 Czech+Lithuanian+Montenegrin+Montenegrin @ 0.121077
40 Polish+Serbian_Bosnia+Serbian_Bosnia+Serbian_Bosni a @ 0.121505
19486066 iterations.

[Sikeliot]

Here are mine. When it comes to my Oracle results the Gaussian method seems to give me lower (closer) overall scores.


Do you have your grandfather's results? Just curious :)

[Longbowman]

fuck yes man :D

I will start as Tosk, but hope to improve.

[Black Wolf]

Do you have your grandfather's results? Just curious :)

No I do not unfortunately.

[Black Wolf]

I find it a bit strange that everyone else seems to be getting lower (closer) overall genetic distance scores with populations on the Least-squares method and I seem to be the only one who is getting lower (closer) overall genetic distance scores with populations on the Gaussian method.

[Grace O'Malley]

K8

ANE 0.158429
South_Eurasian 0.00305
Near_Eastern 0.384229
East_Eurasian 1E-005
WHG 0.453869
Oceanian 0.000393
Pygmy 1E-005
Sub-Saharan 1E-005

Lower bound NE

ANE 0.156524
South_Eurasian 0.005765
Near_Eastern 0.346246
East_Eurasian 1E-005
WHG 0.489913
Oceanian 0.001522
Pygmy 1E-005
Sub-Saharan 1E-005


K9
Oceanian 0.00001
EEF 0.294425
European 0.520847
Amerindian 0.005177
Central_Asian 0.165499
South_Asian 0.014013
East_Asian 0.00001
Siberian 0.00001
Sub-Saharan 0.00001

K6
Yamnaya_related 0.424978
WHG_extra 0.025084
ENA 0.008418
Middle_Eastern 0.048719
Pre-Yamnaya 0.492791
Sub-Saharan 0.00001

Least-squares method.

Using 1 population approximation:
1 Scottish @ 1.503039
2 Utah_German @ 1.537972
3 English @ 2.597357
4 Orcadian @ 2.793485
5 Czech @ 3.397836
6 Norwegian @ 3.745461
7 Icelandic @ 4.27367
8 Utah_Scandinavian @ 4.762585
9 Bell_Beaker_LN @ 5.871907
10 Hungarian @ 6.31439
11 Ukrainian_Poltava @ 6.949187
12 Ukrainian_Lviv @ 7.745619
13 Ukrainian_Kharkov @ 8.274837
14 Ukrainian @ 9.196926
15 Polish @ 9.507252
16 Croatian @ 9.88315
17 Serbian_Bosnia @ 10.304231
18 HungaryGamba_BA @ 10.487227
19 Belarusian @ 10.600791
20 Bosnian @ 10.934961
208 iterations.

Using 2 populations approximation:
1 English+Orcadian @ 1.133304
2 English+Norwegian @ 1.239949
3 Scottish+Utah_German @ 1.262112
4 English+Scottish @ 1.366742
5 English+Icelandic @ 1.382281
6 Scottish+Scottish @ 1.503039
7 Utah_German+Utah_German @ 1.537972
8 Orcadian+Utah_German @ 1.573353
9 English+Utah_Scandinavian @ 1.599306
10 HungaryGamba_BA+Ukrainian @ 1.633067
11 Norwegian+Utah_German @ 1.824982
12 French+Polish @ 1.901252
13 English+Utah_German @ 1.907997
14 Cypriot+Loschbour @ 1.990657
15 HungaryGamba_BA+Ukrainian_Lviv @ 1.990757
16 Icelandic+Utah_German @ 2.023983
17 Bell_Beaker_LN+English @ 2.037088
18 Orcadian+Scottish @ 2.056768
19 Czech+English @ 2.080286
20 Belarusian+French @ 2.123476
21736 iterations.

Using 3 populations approximation:
1 50% Icelandic +25% French +25% Orcadian @ 1.018289
2 50% Orcadian +25% Bell_Beaker_LN +25% French @ 1.064036
3 50% English +25% Bell_Beaker_LN +25% Utah_German @ 1.072928
4 50% English +25% Icelandic +25% Scottish @ 1.082223
5 50% Icelandic +25% French +25% Norwegian @ 1.093389
6 50% English +25% Norwegian +25% Orcadian @ 1.102865
7 50% English +25% Norwegian +25% Scottish @ 1.103116
8 50% Utah_German +25% English +25% Icelandic @ 1.104464
9 50% English +25% Icelandic +25% Utah_German @ 1.10499
10 50% Icelandic +25% French +25% Icelandic @ 1.107298
11 50% Utah_Scandinavian +25% French +25% Orcadian @ 1.118041
12 50% Utah_German +25% English +25% Norwegian @ 1.128287
13 50% French +25% Icelandic +25% Lithuanian @ 1.131257
14 50% English +25% Orcadian +25% Orcadian @ 1.133304
15 50% English +25% Utah_German +25% Utah_Scandinavian @ 1.135416
16 50% English +25% Scottish +25% Utah_Scandinavian @ 1.135652
17 50% Norwegian +25% French +25% Icelandic @ 1.136736
18 50% Orcadian +25% French +25% Utah_Scandinavian @ 1.153819
19 50% English +25% Bell_Beaker_LN +25% English @ 1.154225
20 50% French +25% Lithuanian +25% Utah_Scandinavian @ 1.157975
1771517 iterations.

Using 4 populations approximation:
1 Basque+Corded_Ware_LN+HungaryGamba_BA+Polish @ 0.921336
2 French+Icelandic+Icelandic+Orcadian @ 1.018289
3 Basque+Belarusian+Corded_Ware_LN+HungaryGamba_BA @ 1.02278
4 Basque+Iranian_Jew+Lithuanian+Loschbour @ 1.039427
5 French+Icelandic+Orcadian+Utah_Scandinavian @ 1.045612
6 Iraqi_Jew+Lithuanian+Loschbour+Spanish_North @ 1.047796
7 French+Icelandic+Norwegian+Orcadian @ 1.061367
8 Bell_Beaker_LN+French+Orcadian+Orcadian @ 1.064036
9 Bell_Beaker_LN+English+English+Utah_German @ 1.072928
10 English+English+Icelandic+Scottish @ 1.082223
11 French+Norwegian+Orcadian+Utah_Scandinavian @ 1.08941
12 French+Icelandic+Icelandic+Norwegian @ 1.093389
13 Bell_Beaker_LN+French+Norwegian+Orcadian @ 1.099429
14 English+English+Norwegian+Orcadian @ 1.102865
15 English+English+Norwegian+Scottish @ 1.103116
16 English+Icelandic+Utah_German+Utah_German @ 1.104464
17 English+English+Icelandic+Utah_German @ 1.10499
18 Bell_Beaker_LN+French+Icelandic+Orcadian @ 1.105788
19 French+Icelandic+Icelandic+Icelandic @ 1.107298
20 French+Orcadian+Utah_Scandinavian+Utah_Scandinavia n @ 1.118041
21 Bosnian+French_South+Lithuanian+Polish @ 1.124821
22 English+Norwegian+Utah_German+Utah_German @ 1.128287
23 French+French+Icelandic+Lithuanian @ 1.131257
24 Bosnian+English+HungaryGamba_BA+Lithuanian @ 1.132151
25 English+English+Orcadian+Orcadian @ 1.133304
26 English+English+Utah_German+Utah_Scandinavian @ 1.135416
27 English+English+Scottish+Utah_Scandinavian @ 1.135652
28 Iraqi_Jewish+Lithuanian+Loschbour+Spanish_North @ 1.136102
29 French+Icelandic+Norwegian+Norwegian @ 1.136736
30 Bosnian+Corded_Ware_LN+HungaryGamba_BA+Neolithic_H ungary @ 1.137641
31 Bell_Beaker_LN+French+Icelandic+Scottish @ 1.138022
32 Bell_Beaker_LN+Czech+French+Icelandic @ 1.152644
33 French+Icelandic+Norwegian+Utah_Scandinavian @ 1.153675
34 French+Orcadian+Orcadian+Utah_Scandinavian @ 1.153819
35 Bell_Beaker_LN+English+English+English @ 1.154225
36 French+French+Lithuanian+Utah_Scandinavian @ 1.157975
37 French+Icelandic+Scottish+Utah_Scandinavian @ 1.158667
38 French+Norwegian+Norwegian+Orcadian @ 1.159036
39 French_South+Iraqi_Jew+Lithuanian+Loschbour @ 1.159508
40 English+English+Icelandic+Orcadian @ 1.160331
5338338 iterations.


Gaussian method.
Noise dispersion set to 0.584552

Using 1 population approximation:
1 Orcadian @ 2.788039
2 English @ 3.224925
3 Icelandic @ 3.274491
4 Scottish @ 3.444177
5 Utah_German @ 3.676277
6 Bell_Beaker_LN @ 3.68285
7 Norwegian @ 3.793994
8 Czech @ 3.943959
9 Utah_Scandinavian @ 4.24133
10 Hungarian @ 4.625269
11 French @ 4.647304
12 HungaryGamba_BA @ 4.694288
13 Ukrainian_Kharkov @ 4.762205
14 Polish @ 4.809033
15 Bosnian @ 4.931483
16 Ukrainian_Poltava @ 4.970049
17 Ukrainian_Lviv @ 4.974974
18 Serbian_Bosnia @ 5.025832
19 Croatian @ 5.286401
20 Ukrainian @ 5.477253
208 iterations.

Using 2 populations approximation:
1 Orcadian+Orcadian @ 2.788039
2 HungaryGamba_BA+Orcadian @ 2.864422
3 English+Orcadian @ 2.980124
4 Icelandic+Orcadian @ 3.050557
5 HungaryGamba_BA+Icelandic @ 3.060864
6 English+Icelandic @ 3.131134
7 Bell_Beaker_LN+HungaryGamba_BA @ 3.145071
8 Orcadian+Scottish @ 3.16419
9 English+English @ 3.224925
10 Bell_Beaker_LN+Orcadian @ 3.246708
11 Bell_Beaker_LN+English @ 3.2561
12 Icelandic+Icelandic @ 3.274491
13 Orcadian+Utah_German @ 3.288908
14 Icelandic+Scottish @ 3.327959
15 English+Scottish @ 3.343608
16 HungaryGamba_BA+Norwegian @ 3.388526
17 HungaryGamba_BA+Scottish @ 3.397742
18 French+Orcadian @ 3.403516
19 Norwegian+Orcadian @ 3.405736
20 HungaryGamba_BA+Polish @ 3.422515
21736 iterations.

Using 3 populations approximation:
1 50% Orcadian +25% HungaryGamba_BA +25% Orcadian @ 2.573281
2 50% Orcadian +25% HungaryGamba_BA +25% Icelandic @ 2.705324
3 50% HungaryGamba_BA +25% Corded_Ware_LN +25% HungaryGamba_BA @ 2.740029
4 50% Orcadian +25% Bell_Beaker_LN +25% HungaryGamba_BA @ 2.779174
5 50% Orcadian +25% English +25% HungaryGamba_BA @ 2.802137
6 50% Icelandic +25% HungaryGamba_BA +25% Orcadian @ 2.822447
7 50% Orcadian +25% HungaryGamba_BA +25% Scottish @ 2.850788
8 50% HungaryGamba_BA +25% Orcadian +25% Orcadian @ 2.864422
9 50% Orcadian +25% English +25% Orcadian @ 2.878101
10 50% Orcadian +25% Icelandic +25% Orcadian @ 2.926153
11 50% Icelandic +25% HungaryGamba_BA +25% Icelandic @ 2.929565
12 50% Orcadian +25% HungaryGamba_BA +25% Utah_German @ 2.937599
13 50% Orcadian +25% HungaryGamba_BA +25% Norwegian @ 2.945392
14 50% Orcadian +25% French +25% Orcadian @ 2.965877
15 50% HungaryGamba_BA +25% Icelandic +25% Orcadian @ 2.968097
16 50% Orcadian +25% Czech +25% HungaryGamba_BA @ 2.969012
17 50% HungaryGamba_BA +25% Armenian +25% Loschbour @ 2.971071
18 50% HungaryGamba_BA +25% Corded_Ware_LN +25% Orcadian @ 2.971324
19 50% Orcadian +25% Orcadian +25% Spanish_North @ 2.972017
20 50% Icelandic +25% English +25% HungaryGamba_BA @ 2.97823
2872225 iterations.

Using 4 populations approximation:
1 HungaryGamba_BA+Orcadian+Orcadian+Orcadian @ 2.573281
2 HungaryGamba_BA+Icelandic+Orcadian+Orcadian @ 2.705324
3 Corded_Ware_LN+HungaryGamba_BA+HungaryGamba_BA+Hun garyGamba_BA @ 2.740029
4 Bell_Beaker_LN+HungaryGamba_BA+Orcadian+Orcadian @ 2.779174
5 Orcadian+Orcadian+Orcadian+Orcadian @ 2.788039
6 English+HungaryGamba_BA+Orcadian+Orcadian @ 2.802137
7 HungaryGamba_BA+Icelandic+Icelandic+Orcadian @ 2.822447
8 HungaryGamba_BA+Orcadian+Orcadian+Scottish @ 2.850788
9 HungaryGamba_BA+HungaryGamba_BA+Orcadian+Orcadian @ 2.864422
10 English+Orcadian+Orcadian+Orcadian @ 2.878101
11 English+HungaryGamba_BA+Icelandic+Orcadian @ 2.894717
12 Bell_Beaker_LN+HungaryGamba_BA+Icelandic+Orcadian @ 2.909482
13 Icelandic+Orcadian+Orcadian+Orcadian @ 2.926153
14 HungaryGamba_BA+Icelandic+Icelandic+Icelandic @ 2.929565
15 HungaryGamba_BA+Orcadian+Orcadian+Utah_German @ 2.937599
16 Bell_Beaker_LN+English+HungaryGamba_BA+Orcadian @ 2.941615
17 HungaryGamba_BA+Icelandic+Orcadian+Scottish @ 2.945205
18 HungaryGamba_BA+Norwegian+Orcadian+Orcadian @ 2.945392
19 French+Orcadian+Orcadian+Orcadian @ 2.965877
20 HungaryGamba_BA+HungaryGamba_BA+Icelandic+Orcadian @ 2.968097
21 Czech+HungaryGamba_BA+Orcadian+Orcadian @ 2.969012
22 Armenian+HungaryGamba_BA+HungaryGamba_BA+Loschbour @ 2.971071
23 Corded_Ware_LN+HungaryGamba_BA+HungaryGamba_BA+Orc adian @ 2.971324
24 Orcadian+Orcadian+Orcadian+Spanish_North @ 2.972017
25 Corded_Ware_LN+HungaryGamba_BA+Orcadian+Spanish_No rth @ 2.97817
26 English+HungaryGamba_BA+Icelandic+Icelandic @ 2.97823
27 Bell_Beaker_LN+Bell_Beaker_LN+HungaryGamba_BA+Orca dian @ 2.979987
28 English+English+Orcadian+Orcadian @ 2.980124
29 English+Icelandic+Orcadian+Orcadian @ 2.984698
30 Orcadian+Orcadian+Orcadian+Scottish @ 2.994099
31 HungaryGamba_BA+Orcadian+Orcadian+Polish @ 2.994933
32 Bell_Beaker_LN+HungaryGamba_BA+HungaryGamba_BA+Orc adian @ 2.998819
33 Bell_Beaker_LN+HungaryGamba_BA+Orcadian+Scottish @ 3.01723
34 English+English+HungaryGamba_BA+Orcadian @ 3.020865
35 Bell_Beaker_LN+Orcadian+Orcadian+Orcadian @ 3.023547
36 Bell_Beaker_LN+HungaryGamba_BA+Icelandic+Icelandic @ 3.02692
37 Corded_Ware_LN+English+HungaryGamba_BA+HungaryGamb a_BA @ 3.029452
38 Basque+Corded_Ware_LN+HungaryGamba_BA+Orcadian @ 3.029849
39 Bosnian+HungaryGamba_BA+Orcadian+Orcadian @ 3.030191
40 HungaryGamba_BA+Icelandic+Norwegian+Orcadian @ 3.031243
20625270 iterations.

[Graham]

Here are my two. Looks very much on the Scottish average for K9.


K9
53.91% --- European
28.23% --- EEF
16.69% --- Central Asian
00.93% --- South Asian
00.24% --- Oceanian

K8
47.20% --- WHG
38.08% --- Near Eastern
13.55% --- ANE
00.91% ---Oceanian
00.27% ---South Eurasian

[Longbowman]

I find it a bit strange that everyone else seems to be getting lower (closer) overall genetic distance scores with populations on the Least-squares method and I seem to be the only one who is getting lower (closer) overall genetic distance scores with populations on the Gaussian method.

Nah same here bro.

[SwampThing26]

Here are my two. Looks very much on the Scottish average for K9.


K9
53.91% --- European
28.23% --- EEF
16.69% --- Central Asian
00.93% --- South Asian
00.24% --- Oceanian

K8
47.20% --- WHG
38.08% --- Near Eastern
13.55% --- ANE
00.91% ---Oceanian
00.27% ---South Eurasian

1-Orcadian@ 1.54155804950706
2-Scottish@ 1.74217134185332
3-Norwegian@ 1.94382742600777
4-Icelandic@ 2.2559416500439
5-Czech@ 3.769059439396
6-Bell_Beaker_LN@ 3.83632982940727
7-English@ 4.43874052251311
8-Ukrainian_Poltava@ 6.02912647284829
9-Ukrainian_Lviv@ 6.72444727740999
10-Ukrainian_Kharkov@ 6.85066024774255
11-Polish@ 7.72777737281031
12-Hungarian@ 7.88403287727799
13-Ukrainian@ 8.18048229070381
14-Belarusian@ 8.89653921522858
15-Russian@ 11.3753408991028
16-Croatian@ 11.685993576346
17-HungaryGamba_BA@ 11.768038087124
18-Serbian_Bosnia@ 12.0112204378084
19-Bosnian@ 12.5948427755561
20-French@ 13.0405529187706

[SwampThing26]

Yay, he made mine as well. Here they are:

Oceanian 0.4545
Siberian 0.4615
Sub-Saharan 0.001
East Asian 0.3468
Central Asian 25.0223
South Asian 0.001
Amerindian 0.2362
EEF 46.0614
European 27.4152

Your single population results:

1-Greek@ 2.04264201252969
2-Albanian@ 3.40925866399948
3-Kosovar@ 5.35144214156968
4-West_Sicilian@ 6.51266499757396
5-Tuscan@ 6.51337823234959
6-Sicilian@ 8.89696768809324
7-Ashkenazi_Jew@ 9.60941436703334
8-Bergamo@ 10.7352065218419
9-East_Sicilian@ 10.8265874642382
10-Bulgarian@ 11.2390069878281
11-Maltese@ 11.3325625834225
12-Macedonian@ 11.804966931021
13-Romanian@ 12.4383432945883
14-South_Italian@ 12.5185573928047
15-Montenegrin@ 14.7033714430707
16-Serbian@ 16.506506423906
17-Turkish_Jew@ 17.1597774148862
18-Sephardic_Jewish@ 17.7549417294467
19-Spanish@ 19.8228173514838
20-Moroccan_Jewish@ 20.1790212589434

[Catkin]

My results:

K9:
European: 51.83%
EEF: 28.25%
Central_Asian: 19.59% (loads!)
Amerindian: 0.25%
East_Asian: 0.08%
Siberian: 0%
Oceanian: 0%
South_Asian: 0%
Sub-Saharan: 0%

K8:
WHG: 45.52%
Near Eastern: 39.04%
ANE: 15.09%
Oceanian: 0.16%
South Eurasian: 0.13%
Pygmy: 0.06%
East Eurasian: 0%
Sub-Saharan: 0%

Lower Bound NE:
WHG: 49.00%
Near Eastern: 35.28%
ANE: 14.94%
South Eurasian: 0.38%
Oceanian: 0.26%
Pygmy: 0.14%
East Eurasian: 0%
Sub-Saharan: 0%

K6:
Pre-Yamnaya: 47.19%
Yamnaya_related: 43.55%
Middle_Eastern: 4.13%
WHG_extra: 3.64%
ENA: 1.33%
Sub-Saharan: 0.16%


K9 Oracle:
1 1-Czech@ 1.06577256190053
2 2-Orcadian@ 2.75658387501632
3 3-Scottish@ 3.05070763338197
4 4-Norwegian@ 4.32669154090051
5 5-Ukrainian_Poltava@ 4.33028332486455
6 6-Icelandic@ 4.5104647892506
7 7-English@ 4.69130410421238
8 8-Ukrainian_Lviv@ 5.19831609914852
9 9-Hungarian@ 5.36749532591787
10 10-Bell_Beaker_LN@ 6.18975638292817
11 11-Ukrainian_Kharkov@ 6.37807970081905
12 12-Ukrainian@ 6.55278688478478
13 13-Polish@ 7.91907647715261
14 14-Belarusian@ 8.89525278876885
15 15-Croatian@ 9.34734879195165
16 16-Serbian_Bosnia@ 9.37489736293817
17 17-Bosnian@ 9.85185840659743
18 18-Russian@ 10.7478659710102
19 19-French@ 12.6916125542524
20 20-Moksha@ 13.130941316981

[Longbowman]

Central_Asian: 19.59% (loads!)

Calm down, Junior :coffee:

[Catkin]

Calm down, Junior :coffee:

Haha :P. Well it is for NW Euro!

[firemonkey]

K6

Yamnaya_related 0.413924
WHG_extra 0.045135
ENA 0.012453
Middle_Eastern 0.013424
Pre-Yamnaya 0.508882
Sub-Saharan 0.006182

K8

ANE 0.139735
South_Eurasian 0.013093
Near_Eastern 0.378671
East_Eurasian 1E-005
WHG 0.463432
Oceanian 1E-005
Pygmy 1E-005
Sub-Saharan 0.005039

K9

Oceanian 0.00027
Siberian 1E-005
Sub-Saharan 1E-005
East_Asian 1E-005
Central_Asian 0.150696
South_Asian 0.014268
Amerindian 0.011333
EEF 0.295617
European 0.527787

[Longbowman]

You look like you're 1/64 Indian.

[Altaylardan Tunaya]

K9
Siberian 0.062645
Central_Asian 0.440978
Sub-Saharan 0.004711
Oceanian 1E-005
South_Asian 0.02737
East_Asian 0.031293
Amerindian 0.000883
European 0.056771
EEF 0.375338

K8
ANE 0.176056
South_Eurasian 0.04013
Near_Eastern 0.652199
East_Eurasian 0.053969
WHG 0.066005
Oceanian 1E-005
Pygmy 0.006514
Sub-Saharan 0.005116

K6
Yamnaya_related 0.20047
WHG_extra 0.000241
ENA 0.071531
Middle_Eastern 0.578613
Pre-Yamnaya 0.136752
Sub-Saharan 0.012393

[firemonkey]

You look like you're 1/64 Indian.

That would be 4th great grandparent level ? I have big gaps at that level so can't totally discount it.

[Longbowman]

That would be 4th great grandparent level ? I have big gaps at that level so can't totally discount it.

Not uncommon in the UK, I know a 1/16 and a 1/8 and a 1/4 and a 1/2. Lady Spencer was (distantly) Indian along her maternal line. I myself discovered 1/16 Indian [Jewish] which I never knew I had.

[Black Wolf]

Nah same here bro.

Looking at your Oracle results back a few pages in this thread it appears that overall your Least-squares method scores are actually lower (closer) overall than your Gaussian method scores.

[Graham]

You look like you're 1/64 Indian.

Central Asian is odd. I could point out to a Mal'ta link through ANE on South Asian, perhaps on Central Asian. That's another possibility.

[Thrax]

Central Asian is odd. I could point out to a Mal'ta link through ANE on South Asian, perhaps on Central Asian. That's another possibility.

According to Davidski Central Asian comes from people consisting of Mal'ta + EEF like ancestry.

[Sikeliot]

My mother's (rounded, to make the numbers clearer)

K9

East_Asian 1E-005
Siberian 0.02%
Sub-Saharan 2.1%
Oceanian 1E-005
Central_Asian 14.5%
South_Asian 0.5%
Amerindian 0.7%
European 50.8%
EEF 31.2%

[JBoscherville]

Here are my two. Looks very much on the Scottish average for K9.


K9
53.91% --- European
28.23% --- EEF
16.69% --- Central Asian
00.93% --- South Asian
00.24% --- Oceanian

K8
47.20% --- WHG
38.08% --- Near Eastern
13.55% --- ANE
00.91% ---Oceanian
00.27% ---South Eurasian

Could explain this to me? What do the percentages of Near Eastern and Central Asian mean?

[Sikeliot]

If you have had yours recently done by Davidski, share them here.

Mine:

Oceanian .03606%
European 48.95%
EEF 31.8246%
East_Asian .001%
South_Asian 2.1088%
Central_Asian 15.5131%
Amerindian .02273%
Siberian .001%
Sub-Saharan 1.0581%

You have a distant African American ancestor. This is above noise level for someone reportedly 100% North European descent living in the US. ;)

[Longbowman]

Could explain this to me? What do the percentages of Near Eastern and Central Asian mean?

Near Eastern = Neolithic ancestry. Central Asian = associated with Indo-European in this case.

[Jackson]

Here's mine:

European: 50.15%
EEF: 32.54%
Central Asian: 15.57%

Amerindian: 0.85%
Sub-Saharan: 0.38%
South Asian: 0.29%
Siberian: 0.18%

Papuan: 0%
East Asian: 0%

Oracle:

1-English@ 1.73894977736565
2-Scottish@ 4.68056566713629
3-Hungarian@ 5.48946456746922
4-Czech@ 5.81497973957777
5-Orcadian@ 6.3781036288226
6-French@ 7.25533586821382
7-Norwegian@ 7.3504793956653
8-HungaryGamba_BA@ 7.6656776099703
9-Croatian@ 7.67678980254117
10-Icelandic@ 7.94790349075798
11-Serbian_Bosnia@ 8.53211261093201
12-Bell_Beaker_LN@ 9.48739097223257
13-Bosnian@ 9.53965697620436
14-Ukrainian_Poltava@ 10.0561991090869
15-Ukrainian_Lviv@ 10.9646560696935
16-Ukrainian_Kharkov@ 11.7944722764522
17-Serbian@ 12.1559078807511
18-Ukrainian@ 12.3482956143603
19-Polish@ 13.2051431510636
20-Montenegrin@ 13.7120162646822

[Gooding]

Edit.

[JBoscherville]

Near Eastern = Neolithic ancestry. Central Asian = associated with Indo-European in this case.

Why would Near Eastern and Central Asian come up for a European? Does it mean he has NE and CA ancestry?

[Graham]

Europe is a made up thing to genetics, there is no barrier to the real continent of Eurasia. Meaning a flow East-West or West-East. Whether that came through Siberia, Caucasus, Steppe or Middle East thousands of years back.

[Longbowman]

Why would Near Eastern and Central Asian come up for a European? Does it mean he has NE and CA ancestry?

Because Europeans have both Neolithic and Indo-European ancestry.

[JBoscherville]

Europe is a made up thing to genetics, there is no barrier to the real continent of Eurasia. Meaning a flow East-West or West-East. Whether that came through Siberia, Caucasus, Steppe or Middle East thousands of years back.

So what's all the bullshit about who's 'whiter/more European' on this forum :confused:

[Grace O'Malley]

So what's all the bullshit about who's 'whiter/more European' on this forum :confused:

They are usually troll threads and not to be taken seriously.

[Longbowman]

So what's all the bullshit about who's 'whiter/more European' on this forum :confused:

You could measure it by Mesolithic European ancestry if you wanted, that's the only component that's more or less unique (in significant amounts) to Europe.

http://i58.tinypic.com/2m7zy8l.png

The other modal components in Europeans are Neolithic, which is basically the same as the Neolithic variants in North Africa and the Middle East (see also: Caucasian) and ANE, which is North/Central Asian and is found most in Central/South Asians, people from the Caucasus and Native Americans.

[Hevo]

You could measure it by Mesolithic European ancestry if you wanted, that's the only component that's more or less unique (in significant amounts) to Europe.

http://i58.tinypic.com/2m7zy8l.png

The other modal components in Europeans are Neolithic, which is basically the same as the Neolithic variants in North Africa and the Middle East (see also: Caucasian) and ANE, which is North/Central Asian and is found most in Central/South Asians, people from the Caucasus and Native Americans.

The Scandinavian Hunter Gatherers had around 15-19% ANE tough but the main source of ANE in most European ethnic groups is probably the Indo-Europeans.

[Longbowman]

The Scandinavian Hunter Gatherers had around 15-19% ANE tough but the main source of ANE in most European ethnic groups is probably the Indo-Europeans.

Regardless of how/when it entered, ANE is not exclusively or even mainly European, it peaks in Native Americans (supposedly), and is higher in South, Central and East Asians, and also Caucasian people and northern MENA people, than Europeans.

It is also not that stronk in Europe, especially southwest Europe, which makes sense because it spread from the Northeast:

http://i60.tinypic.com/vobofk.png

If ANE was in Scandinavia before Neolithic was in Greece, it's irrelevant. WHG is the only indigenous component.

[Iron Sheik]

The Scandinavian Hunter Gatherers had around 15-19% ANE tough but the main source of ANE in most European ethnic groups is probably the Indo-Europeans.

Yes, but the source of ANE in Europeans, was received from a farmer group that was near-eastern and ANE, that mixed with the samara EHG to form the early uralic-like yamnayas.



If ANE was in Scandinavia before Neolithic was in Greece, it's irrelevant. WHG is the only indigenous component.
WHG exists also in India and central-Asia. And is sister-clade to ENA(eastern non-africans), and genetically closer to ENA than it is to archaic components west-Eurasian groups like Basal-Eurasian.

[Longbowman]

Yes, but the source of ANE in Europeans, was received from a farmer group that was near-eastern and ANE.

No, the source of Neolithic was from a farmer group. The main source of ANE was from the Indo-Europeans.

[Insuperable]

Yes, but the source of ANE in Europeans, was received from a farmer group that was near-eastern and ANE.

Farmers had no ANE or maybe a bit. The major source of ANE in Europeans came from Indo-Europeans.

edit: Longbowman:flame

[Iron Sheik]

No, the source of Neolithic was from a farmer group. The main source of ANE was from the Indo-Europeans.

It's more complex than that. Indo-europeans themelves carried Neolithic ancestry(not directly related to the early Neolithic immigration into Europe), hypothesised to stem from the Caspian or north-Caucasus(Maykop connection). Yamnaya is supposed to be a two-way admixture between samara HG and a Neolithic population carrying a great amount of ANE. When they Haak et al created a fit for yamnayas, the Neolithic population that mixed with samara HG to form "proto-indo-europeans" or "indo-europeans" was similar to Georgians and Iraqi jews.

Besides if WHG was truly a west-Eurasian group. It wouldn't have separated from ENA, but would have verged off earlier and coalsenced in Europe/west-eurasia. It means that that WHG actually formed somewhere in central-asia/east-Eurasia, rather than in Europe or west-Eurasia. Unlike the Neolithic Basal-Eurasian, which exclusively formed in west-Eurasia and spread north-east and east-wards and is not genetically close to WHG.

[Longbowman]

It's more complex than that. Indo-europeans themelves carried Neolithic ancestry(not directly related to the early Neolithic immigration into Europe), hypothesised to stem from the Caspian or north-Caucasus(Maykop connection). Yamnaya is supposed to be a two-way admixture between samara HG and a Neolithic population carrying a great amount of ANE. When they Haak et al created a fit for yamnayas, the Neolithic population that mixed with samara HG to form "proto-indo-europeans" or "indo-europeans" was similar to Georgians and Iraqi jews.

Besides if WHG was truly a west-Eurasian group. It wouldn't have separated from a ENA, but would have verged off earlier and coalsenced in Europe/west-eurasia. It means that that WHG actually formed somewhere in central-asia/east-Eurasia, rather than in Europe or west-Eurasia. Unlike the Neolithic Basal-Eurasian, which exclusively formed in west-Eurasia and spread north-east and east-wards and is not genetically close to WHG.

They carried around 10% Neolithic. Neolithics didn't carry much/any ANE. Your information is interesting but doesn't really impact what I've said. If WHG were formed in central Asia, which is possible, considering most of it in Europe today dates to the Indo-Europeans, it's not relevant. Today, it's a European component, almost exclusively so, which is what I've said.

[Iron Sheik]

They carried around 10% Neolithic. Neolithics didn't carry much/any ANE. Your information is interesting but doesn't really impact what I've said. If WHG were formed in central Asia, which is possible, considering most of it in Europe today dates to the Indo-Europeans, it's not relevant.
Lol no. Atleast 30-35% of their genome is Neolithic, the rest is divided between ANE, WHG and ASI. Besides Neolithic farmers in the Caucasus and central-asia acquired a good deal of ANE.



Today, it's a European component, almost exclusively so, which is what I've said.
That has no value in paleo-genetics. It doesn't go from the fact that WHG coalesced somewhere else. Calling something European or middle-eastern is completely a value judgement as far as genetics go. But going purely by genesis. WHG is more similar to ENA than it is to Basal Eurasian.

[Thunder_shock]

Lol no. Atleast 30-35% of their genome is Neolithic, the rest is divided between ANE, WHG and ASI. Besides Neolithic farmers in the Caucasus and central-asia acquired a good deal of ANE.



That has no value in paleo-genetics. It doesn't go from the fact that WHG coalesced somewhere else. Calling something European or middle-eastern is completely a value judgement as far as genetics go. But going purely by genesis. WHG is more similar to ENA than it is to Basal Eurasian.

What's Basal Eurasian? does it even exist?

[Longbowman]

Lol no. Atleast 30-35% of their genome is Neolithic, the rest is divided between ANE, WHG and ASI. Besides Neolithic farmers in the Caucasus and central-asia acquired a good deal of ANE.

Not from what I've seen. ~50% WHG, ~5% ASI, ~35% ANE, ~10% MENA.


That has no value in paleo-genetics. It doesn't go from the fact that WHG coalesced somewhere else. Calling something European or middle-eastern is completely a value judgement as far as genetics go. But going purely by genesis. WHG is more similar to ENA than it is to Basal Eurasian.

Factually I agree, I just offered it as a way of measuring contemporary European geneticness.

[JBoscherville]

So modern Europeans are essentially a mix of 'native' Hunter Gatherers, Near Eastern Farmers and Northern Eurasians to varying degrees? :confused:

[Longbowman]

So modern Europens are essentially a mix of 'native' Hunter Gatherers, Near Eastern Farmers and Northern Eurasians to varying degrees? :confused:

Yes.

[JBoscherville]

Yes.

Okay, got it! Thank you.