Oracle-4 on Gedmatch

1: hu

2: at + ro

3: hu + lit + ro

4. at + ua + ro + ro

HarappaWorld

Using 1 population approximation:
1 utahn-white @ 8.269
2 n-european @ 8.410
3 orcadian @ 9.206
4 utahn-white @ 10.702
5 british @ 10.885
6 ukranian @ 13.881
7 belorussian @ 14.451
8 slovenian @ 15.618
9 hungarian @ 16.282
10 mordovian @ 17.136
350 iterations.



Using 2 populations approximation:
1 50% british +50% lithuanian @ 3.428
2 50% belorussian +50% orcadian @ 3.841
3 50% lithuanian +50% utahn-white @ 4.142
4 50% lithuanian +50% orcadian @ 4.250
5 50% belorussian +50% british @ 4.795
6 50% lithuanian +50% utahn-white @ 5.174
7 50% french +50% lithuanian @ 5.297
8 50% orcadian +50% ukranian @ 5.702
9 50% orcadian +50% russian @ 5.770
10 50% belorussian +50% utahn-white @ 5.889
61425 iterations.



Using 3 populations approximation:
1 50% british +25% finnish +25% orcadian @ 2.218
2 50% orcadian +25% lithuanian +25% n-european @ 2.276
3 50% orcadian +25% british +25% finnish @ 2.340
4 50% orcadian +25% lithuanian +25% utahn-white @ 2.383
5 50% british +25% british +25% finnish @ 2.395
6 50% orcadian +25% finnish +25% utahn-white @ 2.404
7 50% utahn-white +25% lithuanian +25% orcadian @ 2.410
8 50% orcadian +25% finnish +25% utahn-white @ 2.673
9 50% british +25% finnish +25% utahn-white @ 2.675
10 50% british +25% finnish +25% utahn-white @ 2.676
1920616 iterations.



Using 4 populations approximation:
1 british + british + finnish + orcadian @ 2.218
2 lithuanian + n-european + orcadian + orcadian @ 2.276
3 british + finnish + orcadian + orcadian @ 2.340
4 lithuanian + orcadian + orcadian + utahn-white @ 2.383
5 british + british + british + finnish @ 2.395
6 finnish + orcadian + orcadian + utahn-white @ 2.404
7 british + finnish + orcadian + utahn-white @ 2.405
8 lithuanian + orcadian + utahn-white + utahn-white @ 2.410
9 british + finnish + orcadian + utahn-white @ 2.543
10 lithuanian + n-european + orcadian + utahn-white @ 2.544
11 finnish + orcadian + orcadian + utahn-white @ 2.673
12 british + british + finnish + utahn-white @ 2.675
13 british + british + finnish + utahn-white @ 2.676
14 finnish + orcadian + utahn-white + utahn-white @ 2.698
15 finnish + orcadian + orcadian + orcadian @ 2.721
16 lithuanian + n-european + n-european + orcadian @ 2.779
17 finnish + orcadian + utahn-white + utahn-white @ 2.840
18 british + lithuanian + n-european + orcadian @ 2.850
19 british + lithuanian + orcadian + utahn-white @ 2.862
20 lithuanian + orcadian + orcadian + orcadian @ 2.880

35160897 iterations.

Quote:

---

Originally Posted by Loki

Got it! I had already uploaded my kit, so the results were easy :)

Using 1 population approximation:
1 Serbian @ 6.119
2 German-South @ 6.160
3 Montenegrin @ 7.485
4 German_V @ 7.929
5 Austrian @ 8.325
6 Macedonian @ 8.497
7 CEU @ 8.798
8 CEU_V @ 9.366
9 Hungarian @ 9.492
10 British @ 9.545
276 iterations.



Using 2 populations approximation:
1 50% Bulgarian +50% Norwegian_V @ 2.550
2 50% Gagauz +50% Norwegian_V @ 2.953
3 50% Macedonian +50% Norwegian_V @ 3.098
4 50% CEU +50% Macedonian @ 3.262
5 50% German +50% Swiss @ 3.315
6 50% Bulgarian +50% Welsh @ 3.396
7 50% Norwegian_V +50% Romania @ 3.406
8 50% Bulgarian +50% CEU @ 3.422
9 50% German +50% Italian_North @ 3.496
10 50% Romania +50% Swedish @ 3.548
38226 iterations.



Using 3 populations approximation:
1 50% German_V +25% Greek_South +25% Norwegian_V @ 2.479
2 50% German_V +25% Greek_North +25% Norwegian_V @ 2.484
3 50% Austrian +25% Greek_North +25% Norwegian_V @ 2.500
4 50% German +25% Greek_Center +25% Orcadian @ 2.518
5 50% Norwegian_V +25% Gagauz +25% Macedonian @ 2.527
6 50% British +25% Italian-South +25% Mordovian @ 2.532
7 50% Norwegian_V +25% Gagauz +25% Montenegrin @ 2.545
8 50% Norwegian_V +25% Croatian +25% Greek_North @ 2.548
9 50% Bulgarian +25% Norwegian_V +25% Norwegian_V @ 2.550
10 50% Norwegian_V +25% Bulgarian +25% Bulgarian @ 2.550
1813656 iterations.



Using 4 populations approximation:
1 Gagauz + German + Norwegian_V + Swiss @ 2.259
2 Greek_North + Hungarian + Norwegian_V + Welsh @ 2.396
3 Austrian + German + Greek_Center + Norwegian_V @ 2.411
4 Austrian + CEU_V + Greek_North + Norwegian_V @ 2.420
5 CEU_V + German + Greek_Center + Norwegian_V @ 2.432
6 Austrian + German_V + Greek_North + Norwegian_V @ 2.437
7 Austrian + German-North + Greek_Center + Norwegian_V @ 2.443
8 German + German-North + Greek_East + Orcadian @ 2.459
9 German + German_V + Greek_Center + Norwegian_V @ 2.459
10 CEU_V + German_V + Greek_North + Norwegian_V @ 2.470
11 CEU + Greek_East + Norwegian_V + Slovakian @ 2.473
12 Austrian + German-North + Greek_East + Norwegian_V @ 2.477
13 German-North + German_V + Greek_Center + Norwegian_V @ 2.478
14 German_V + German_V + Greek_South + Norwegian_V @ 2.479
15 German_V + German_V + Greek_North + Norwegian_V @ 2.484
16 CEU + Greek_Center + Hungarian + Swedish_V @ 2.487
17 CEU_V + German + Greek_North + Orcadian @ 2.487
18 CEU + German + Greek_North + Welsh @ 2.488
19 German + German_V + Greek_North + Orcadian @ 2.489
20 Austrian + German_V + Greek_South + Norwegian_V @ 2.497

---

Which calculator was this? It doesn't seem accurate at all.... Serbian and Montenegrin in the top 3? Problematic.

Quote:

---

Originally Posted by Scarlet Ibis

Which calculator was this? It doesn't seem accurate at all.... Serbian and Montenegrin in the top 3? Problematic.

---

MDLP, it suffers from what Polako/David/Eurogenes calls 'the calculator effect', which is a shame because i think a working oracle for it would be really good.

Everything for me and my mom is pretty much the same. The only real difference is that now, the EUTest says NO is my dad's top match.

Using 1 population approximation:
1 NO @ 4.451
2 DK @ 4.521
3 Orcadian @ 4.878
4 South_&_Central_Swedish @ 5.518
5 NL @ 5.670
6 IE @ 5.768
7 English @ 5.949
8 Cornish @ 6.504
9 Scottish @ 7.075
10 West_&_Central_German @ 7.329
78 iterations.



Using 2 populations approximation:
1 50% NO +50% Orcadian @ 2.694
2 50% IE +50% South_&_Central_Swedish @ 2.706
3 50% IE +50% NO @ 2.747
4 50% Cornish +50% NO @ 2.814
5 50% Cornish +50% South_&_Central_Swedish @ 2.861
6 50% Orcadian +50% South_&_Central_Swedish @ 2.867
7 50% Scottish +50% South_&_Central_Swedish @ 3.293
8 50% NO +50% Scottish @ 3.302
9 50% English +50% NO @ 3.549
10 50% DK +50% Orcadian @ 3.566
3081 iterations.






His Jtest results are still roughly the same.

Using 1 population approximation:
1 DK @ 3.874
2 NL @ 4.628
3 NO @ 4.640
4 Orcadian @ 4.692
5 English @ 4.927
6 South_&_Central_Swedish @ 5.683
7 Cornish @ 5.771
8 IE @ 6.040
9 West_&_Central_German @ 6.347
10 Scottish @ 7.000
78 iterations.



Using 2 populations approximation:
1 50% Cornish +50% NO @ 2.204
2 50% Cornish +50% South_&_Central_Swedish @ 2.269
3 50% NO +50% Orcadian @ 2.703
4 50% Orcadian +50% South_&_Central_Swedish @ 2.901
5 50% English +50% NO @ 2.978
6 50% DK +50% Orcadian @ 3.004
7 50% IE +50% NO @ 3.129
8 50% IE +50% South_&_Central_Swedish @ 3.141
9 50% English +50% South_&_Central_Swedish @ 3.175
10 50% NL +50% NO @ 3.205
3081 iterations.


Results for me and mom are here, along with dad's old results



I only ran the Eurogenes calculators for us, as they seem to be the best. I'll run results through the other calculators when I get bored.

Quote:

---

Originally Posted by Scarlet Ibis

Which calculator was this? It doesn't seem accurate at all.... Serbian and Montenegrin in the top 3? Problematic.

---

Admixture proportions analysis > MDLP Project > Admixture Proportions (with link to Oracle)

Which one should I use, as per your first post? :confused:

Quote:

---

Originally Posted by Loki

Admixture proportions analysis > MDLP Project > Admixture Proportions (with link to Oracle)

Which one should I use, as per your first post? :confused:

---

Try Admixture Proportions Analysis > Dodecad> Dodecad K12b
And also: Admixture Proportions Analysis > Eurogeenes > Jtest/EUtest (these are what Scarlet Ibis is using)

Quote:

---

Originally Posted by Jackson

Try Admixture Proportions Analysis > Dodecad> Dodecad K12b
And also: Admixture Proportions Analysis > Eurogeenes > Jtest/EUtest (these are what Scarlet Ibis is using)

---

Cool I will!

First, I've done HarappaWorld:

# Population Percent
1 NE-Euro 43.90
2 Mediterranean 30.25
3 Caucasian 11.95
4 Baloch 9.00
5 SW-Asian 2.11
6 W-African 1.78
7 SE-Asian 1.01

Using 1 population approximation:
1 romany @ 7.071
2 french @ 7.115
3 hungarian @ 8.794
4 utahn-white @ 10.177
5 n-european @ 10.503
6 slovenian @ 11.002
7 utahn-white @ 11.436
8 british @ 12.039
9 serbian @ 14.556
10 orcadian @ 14.898
350 iterations.



Using 2 populations approximation:
1 50% french +50% hungarian @ 2.908
2 50% french +50% slovenian @ 3.694
3 50% spaniard +50% ukranian @ 3.729
4 50% orcadian +50% romanian @ 3.755
5 50% spaniard +50% ukranian @ 4.027
6 50% british +50% romanian @ 4.194
7 50% bulgarian +50% orcadian @ 4.411
8 50% british +50% serbian @ 4.442
9 50% french +50% romany @ 4.829
10 50% serbian +50% utahn-white @ 4.992
61425 iterations.



Using 3 populations approximation:
1 50% orcadian +25% italian +25% serbian @ 2.221
2 50% british +25% slovenian +25% tuscan @ 2.300
3 50% british +25% slovenian +25% tuscan @ 2.309
4 50% orcadian +25% hungarian +25% tuscan @ 2.334
5 50% french +25% n-european +25% serbian @ 2.342
6 50% british +25% slovenian +25% tuscan @ 2.348
7 50% british +25% hungarian +25% tuscan @ 2.364
8 50% british +25% hungarian +25% tuscan @ 2.373
9 50% orcadian +25% hungarian +25% tuscan @ 2.374
10 50% british +25% hungarian +25% tuscan @ 2.389
1509242 iterations.



Using 4 populations approximation:
1 british + hungarian + orcadian + tuscan @ 2.212
2 british + hungarian + orcadian + tuscan @ 2.220
3 italian + orcadian + orcadian + serbian @ 2.221
4 hungarian + orcadian + tuscan + utahn-white @ 2.226
5 hungarian + orcadian + tuscan + utahn-white @ 2.244
6 british + hungarian + orcadian + tuscan @ 2.246
7 hungarian + orcadian + serbian + spaniard @ 2.250
8 hungarian + orcadian + tuscan + utahn-white @ 2.281
9 british + orcadian + slovenian + tuscan @ 2.282
10 british + orcadian + slovenian + tuscan @ 2.288
11 british + orcadian + slovenian + tuscan @ 2.290
12 british + british + slovenian + tuscan @ 2.300
13 hungarian + orcadian + serbian + spaniard @ 2.305
14 orcadian + serbian + slovenian + spaniard @ 2.308
15 italian + orcadian + serbian + utahn-white @ 2.309
16 orcadian + slovenian + tuscan + utahn-white @ 2.309
17 british + british + slovenian + tuscan @ 2.309
18 hungarian + orcadian + tuscan + utahn-white @ 2.312
19 orcadian + serbian + slovenian + spaniard @ 2.317
20 hungarian + orcadian + orcadian + tuscan @ 2.334

Quote:

---

Originally Posted by Loki

Admixture proportions analysis > MDLP Project > Admixture Proportions (with link to Oracle)

Which one should I use, as per your first post? :confused:

---

I use the Eurogenes ones, because they've been the most accurate for me and my parents so far.

I haven't found the Dodecad K12b to be accurate. For example, check out the top 3 it gives my mom:

Using 1 population approximation:
1 Naga @ 5.261
2 Tu @ 11.197
3 Korean @ 12.510

As far as I know, the Naga are from India? WAAAAAAY off. It's the first time I've ever seen results that bad, to be frank. It might be more accurate for you, though.

My top three Oracle 4. From all the tests I've done. They correspond with one another.

HarappaWorld
Dodecad K12b
JTest Eurogenes

Quote:

---

Originally Posted by Jackson

Try Admixture Proportions Analysis > Dodecad> Dodecad K12b
And also: Admixture Proportions Analysis > Eurogeenes > Jtest/EUtest (these are what Scarlet Ibis is using)

---

And now these:

Dodecad K12b

Using 1 population approximation:
1 Mixed_Germanic @ 7.790
2 French @ 9.193
3 German @ 9.416
4 French @ 9.609
5 Dutch @ 9.669
6 Kent @ 10.976
7 CEU30 @ 11.354
8 English @ 11.520
9 British_Isles @ 12.945
10 Cornwall @ 13.099
223 iterations.



Using 2 populations approximation:
1 50% N_Italian +50% Swedish @ 3.247
2 50% N_Italian +50% Norwegian @ 3.711
3 50% North_Italian +50% Swedish @ 4.185
4 50% French +50% Hungarians @ 4.363
5 50% French +50% Hungarians @ 4.445
6 50% Norwegian +50% O_Italian @ 4.721
7 50% Irish +50% Romanians @ 4.760
8 50% French +50% German @ 4.795
9 50% Orcadian +50% Romanians @ 4.829
10 50% French +50% German @ 4.859
24976 iterations.



Using 3 populations approximation:
1 50% Irish +25% Hungarians +25% O_Italian @ 2.187
2 50% Orcadian +25% Hungarians +25% O_Italian @ 2.228
3 50% Dutch +25% German +25% O_Italian @ 2.237
4 50% CEU30 +25% German +25% O_Italian @ 2.315
5 50% Orkney +25% Hungarians +25% O_Italian @ 2.354
6 50% Argyll +25% Hungarians +25% O_Italian @ 2.354
7 50% English +25% German +25% O_Italian @ 2.383
8 50% British +25% Hungarians +25% O_Italian @ 2.385
9 50% Mixed_Germanic +25% C_Italian +25% Norwegian @ 2.414
10 50% Mixed_Germanic +25% French +25% Romanians @ 2.424
680877 iterations.



Using 4 populations approximation:
1 CEU30 + Dutch + German + O_Italian @ 2.146
2 Dutch + English + German + O_Italian @ 2.160
3 British_Isles + German + Mixed_Germanic + O_Italian @ 2.161
4 Cornwall + Hungarians + O_Italian + Orkney @ 2.175
5 CEU30 + German + Mixed_Germanic + O_Italian @ 2.181
6 Dutch + German + Kent + O_Italian @ 2.186
7 Hungarians + Irish + Irish + O_Italian @ 2.187
8 English + German + Mixed_Germanic + O_Italian @ 2.188
9 British + Hungarians + O_Italian + Orkney @ 2.195
10 Hungarians + Irish + O_Italian + Orcadian @ 2.202
11 British + Hungarians + O_Italian + Orcadian @ 2.205
12 Cornwall + Hungarians + O_Italian + Orcadian @ 2.208
13 Argyll + British + Hungarians + O_Italian @ 2.209
14 Argyll + Hungarians + Irish + O_Italian @ 2.218
15 Argyll + Cornwall + Hungarians + O_Italian @ 2.224
16 British + Hungarians + Irish + O_Italian @ 2.224
17 German + Mixed_Germanic + O_Italian + Orkney @ 2.228
18 Hungarians + O_Italian + Orcadian + Orcadian @ 2.228
19 Dutch + Dutch + German + O_Italian @ 2.237
20 Hungarians + Irish + O_Italian + Orkney @ 2.237

=================================

Jtest

Using 1 population approximation:
1 West_&_Central_German @ 7.707
2 NL @ 8.559
3 English @ 9.895
4 FR @ 10.424
5 AT @ 11.175
6 Cornish @ 11.222
7 DK @ 11.594
8 Orcadian @ 13.084
9 NO @ 13.428
10 IE @ 13.624
78 iterations.



Using 2 populations approximation:
1 50% North_Swedish +50% Tuscan @ 6.715
2 50% NO +50% Tuscan @ 6.779
3 50% NO +50% North_Italian @ 6.830
4 50% South_&_Central_Swedish +50% Tuscan @ 6.839
5 50% North_Italian +50% South_&_Central_Swedish @ 7.008
6 50% DK +50% North_Italian @ 7.061
7 50% FR +50% West_&_Central_German @ 7.068
8 50% North_Italian +50% North_Swedish @ 7.164
9 50% PT +50% South_&_Central_Swedish @ 7.175
10 50% North_Swedish +50% PT @ 7.211
3081 iterations.



Using 3 populations approximation:
1 50% DK +25% Tuscan +25% West_&_Central_German @ 4.943
2 50% West_&_Central_German +25% DK +25% Tuscan @ 5.044
3 50% DK +25% NL +25% Tuscan @ 5.057
4 50% NL +25% DK +25% Tuscan @ 5.085
5 50% West_&_Central_German +25% NO +25% Tuscan @ 5.112
6 50% NL +25% NO +25% Tuscan @ 5.132
7 50% NL +25% South_&_Central_Swedish +25% Tuscan @ 5.166
8 50% West_&_Central_German +25% South_&_Central_Swedish +25% Tuscan @ 5.204
9 50% NL +25% North_Swedish +25% Tuscan @ 5.230
10 50% NO +25% Tuscan +25% West_&_Central_German @ 5.312
91471 iterations.



Using 4 populations approximation:
1 DK + DK + Tuscan + West_&_Central_German @ 4.943
2 DK + NL + Tuscan + West_&_Central_German @ 5.034
3 DK + Tuscan + West_&_Central_German + West_&_Central_German @ 5.044
4 DK + DK + NL + Tuscan @ 5.057
5 DK + NO + Tuscan + West_&_Central_German @ 5.058
6 DK + NL + NL + Tuscan @ 5.085
7 NL + NO + Tuscan + West_&_Central_German @ 5.091
8 DK + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 5.105
9 NO + Tuscan + West_&_Central_German + West_&_Central_German @ 5.112
10 NL + NL + NO + Tuscan @ 5.132
11 NL + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 5.155
12 DK + NL + NO + Tuscan @ 5.159
13 NL + NL + South_&_Central_Swedish + Tuscan @ 5.166
14 DK + NL + South_&_Central_Swedish + Tuscan @ 5.177
15 English + NO + Tuscan + West_&_Central_German @ 5.194
16 DK + English + Tuscan + West_&_Central_German @ 5.196
17 English + North_Swedish + Tuscan + West_&_Central_German @ 5.203
18 South_&_Central_Swedish + Tuscan + West_&_Central_German + West_&_Central_German @ 5.204
19 English + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 5.213
20 DK + FR + North_Swedish + Tuscan @ 5.222

311867 iterations.

Quote:

---

Originally Posted by Scarlet Ibis

I use the Eurogenes ones, because they've been the most accurate for me and my parents so far.

I haven't found the Dodecad K12b to be accurate. For example, check out the top 3 it gives my mom:

Using 1 population approximation:
1 Naga @ 5.261
2 Tu @ 11.197
3 Korean @ 12.510

As far as I know, the Naga are from India? WAAAAAAY off. It's the first time I've ever seen results that bad, to be frank. It might be more accurate for you, though.

---

Hmm that's interesting. I find the K12b to be fairly accurate, but the EUtest to be the most accurate (It is consistent across multiple profiles too). It's kind of odd how it's accurate for some and inaccurate for others. Surely if it was like this is would put the results of at least on of the people into question? I'm impressed by the Jtest though (and EUtest) seen multiple people get pretty much exactly correct results.

Quote:

---

Originally Posted by Loki

And now these:

Dodecad K12b

Using 1 population approximation:
1 Mixed_Germanic @ 7.790
2 French @ 9.193
3 German @ 9.416
4 French @ 9.609
5 Dutch @ 9.669
6 Kent @ 10.976
7 CEU30 @ 11.354
8 English @ 11.520
9 British_Isles @ 12.945
10 Cornwall @ 13.099
223 iterations.



Using 2 populations approximation:
1 50% N_Italian +50% Swedish @ 3.247
2 50% N_Italian +50% Norwegian @ 3.711
3 50% North_Italian +50% Swedish @ 4.185
4 50% French +50% Hungarians @ 4.363
5 50% French +50% Hungarians @ 4.445
6 50% Norwegian +50% O_Italian @ 4.721
7 50% Irish +50% Romanians @ 4.760
8 50% French +50% German @ 4.795
9 50% Orcadian +50% Romanians @ 4.829
10 50% French +50% German @ 4.859
24976 iterations.



Using 3 populations approximation:
1 50% Irish +25% Hungarians +25% O_Italian @ 2.187
2 50% Orcadian +25% Hungarians +25% O_Italian @ 2.228
3 50% Dutch +25% German +25% O_Italian @ 2.237
4 50% CEU30 +25% German +25% O_Italian @ 2.315
5 50% Orkney +25% Hungarians +25% O_Italian @ 2.354
6 50% Argyll +25% Hungarians +25% O_Italian @ 2.354
7 50% English +25% German +25% O_Italian @ 2.383
8 50% British +25% Hungarians +25% O_Italian @ 2.385
9 50% Mixed_Germanic +25% C_Italian +25% Norwegian @ 2.414
10 50% Mixed_Germanic +25% French +25% Romanians @ 2.424
680877 iterations.



Using 4 populations approximation:
1 CEU30 + Dutch + German + O_Italian @ 2.146
2 Dutch + English + German + O_Italian @ 2.160
3 British_Isles + German + Mixed_Germanic + O_Italian @ 2.161
4 Cornwall + Hungarians + O_Italian + Orkney @ 2.175
5 CEU30 + German + Mixed_Germanic + O_Italian @ 2.181
6 Dutch + German + Kent + O_Italian @ 2.186
7 Hungarians + Irish + Irish + O_Italian @ 2.187
8 English + German + Mixed_Germanic + O_Italian @ 2.188
9 British + Hungarians + O_Italian + Orkney @ 2.195
10 Hungarians + Irish + O_Italian + Orcadian @ 2.202
11 British + Hungarians + O_Italian + Orcadian @ 2.205
12 Cornwall + Hungarians + O_Italian + Orcadian @ 2.208
13 Argyll + British + Hungarians + O_Italian @ 2.209
14 Argyll + Hungarians + Irish + O_Italian @ 2.218
15 Argyll + Cornwall + Hungarians + O_Italian @ 2.224
16 British + Hungarians + Irish + O_Italian @ 2.224
17 German + Mixed_Germanic + O_Italian + Orkney @ 2.228
18 Hungarians + O_Italian + Orcadian + Orcadian @ 2.228
19 Dutch + Dutch + German + O_Italian @ 2.237
20 Hungarians + Irish + O_Italian + Orkney @ 2.237

=================================

Jtest

Using 1 population approximation:
1 West_&_Central_German @ 7.707
2 NL @ 8.559
3 English @ 9.895
4 FR @ 10.424
5 AT @ 11.175
6 Cornish @ 11.222
7 DK @ 11.594
8 Orcadian @ 13.084
9 NO @ 13.428
10 IE @ 13.624
78 iterations.



Using 2 populations approximation:
1 50% North_Swedish +50% Tuscan @ 6.715
2 50% NO +50% Tuscan @ 6.779
3 50% NO +50% North_Italian @ 6.830
4 50% South_&_Central_Swedish +50% Tuscan @ 6.839
5 50% North_Italian +50% South_&_Central_Swedish @ 7.008
6 50% DK +50% North_Italian @ 7.061
7 50% FR +50% West_&_Central_German @ 7.068
8 50% North_Italian +50% North_Swedish @ 7.164
9 50% PT +50% South_&_Central_Swedish @ 7.175
10 50% North_Swedish +50% PT @ 7.211
3081 iterations.



Using 3 populations approximation:
1 50% DK +25% Tuscan +25% West_&_Central_German @ 4.943
2 50% West_&_Central_German +25% DK +25% Tuscan @ 5.044
3 50% DK +25% NL +25% Tuscan @ 5.057
4 50% NL +25% DK +25% Tuscan @ 5.085
5 50% West_&_Central_German +25% NO +25% Tuscan @ 5.112
6 50% NL +25% NO +25% Tuscan @ 5.132
7 50% NL +25% South_&_Central_Swedish +25% Tuscan @ 5.166
8 50% West_&_Central_German +25% South_&_Central_Swedish +25% Tuscan @ 5.204
9 50% NL +25% North_Swedish +25% Tuscan @ 5.230
10 50% NO +25% Tuscan +25% West_&_Central_German @ 5.312
91471 iterations.



Using 4 populations approximation:
1 DK + DK + Tuscan + West_&_Central_German @ 4.943
2 DK + NL + Tuscan + West_&_Central_German @ 5.034
3 DK + Tuscan + West_&_Central_German + West_&_Central_German @ 5.044
4 DK + DK + NL + Tuscan @ 5.057
5 DK + NO + Tuscan + West_&_Central_German @ 5.058
6 DK + NL + NL + Tuscan @ 5.085
7 NL + NO + Tuscan + West_&_Central_German @ 5.091
8 DK + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 5.105
9 NO + Tuscan + West_&_Central_German + West_&_Central_German @ 5.112
10 NL + NL + NO + Tuscan @ 5.132
11 NL + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 5.155
12 DK + NL + NO + Tuscan @ 5.159
13 NL + NL + South_&_Central_Swedish + Tuscan @ 5.166
14 DK + NL + South_&_Central_Swedish + Tuscan @ 5.177
15 English + NO + Tuscan + West_&_Central_German @ 5.194
16 DK + English + Tuscan + West_&_Central_German @ 5.196
17 English + North_Swedish + Tuscan + West_&_Central_German @ 5.203
18 South_&_Central_Swedish + Tuscan + West_&_Central_German + West_&_Central_German @ 5.204
19 English + South_&_Central_Swedish + Tuscan + West_&_Central_German @ 5.213
20 DK + FR + North_Swedish + Tuscan @ 5.222

311867 iterations.

---

They seem to pick up your Dutch + German + French pretty well, at least in the majority of cases.

Quote:

---

Originally Posted by Jackson

They seem to pick up your Dutch + German + French pretty well, at least in the majority of cases.

---

Yes definitely! And it corresponds with my ancestry, it's looking good. :)

Tried all the Oracles available. Have put the most accurate in bold - least accurate in grey


MDLP
K5:- Argyll x2 + Cornwall + Slovenia
K6:- Argyll x2 + Cornwall + Slovenia
K7:- Cornwall + Cornwall + Slovenia + Norway
K8:- Basque + Slovakia + Slovenia + Norway
K9:- Basque + Slovakia + Slovenia + Norway
K10:-Cornwall + Wales + Latvia + Portugal
K11:-Cornwall + Kent + Lithuania + Portugal
K12:-SLovenia + Spain + Sweden x2
World:--- German-Nor x2 + Orcadian + British
world22:- British + German-Nor + German + Norway
---------------------------------------------------
Eurogenes
Jtest:-- Denmark x2 + English x2
EUtest:- Denmark x2 + English x2
---------------------------------------------------
Dodecad
V3:--- Irish x4
K7b:-- English x3 + Orkney
K12b:--- British_Isles x2 + English + Mixed_Germanic
World9:- British-Isles + Orkney + Kent x2
---------------------------------------------------
HarappaWorld
British x2 + North-European + Orcadian

Dodecad K7b 4-Ancestors Oracle
Using 1 population approximation:
1 English @ 1.219
2 British @ 1.424
3 Kent @ 1.484
4 British_Isles @ 1.542
5 Irish @ 1.598
6 CEU30 @ 1.963
7 Orcadian @ 2.169
8 Cornwall @ 2.323
9 Orkney @ 2.649
10 Argyll @ 2.762

Using 2 populations approximation:
1 50% English +50% Irish @ 0.875
2 50% Irish +50% Kent @ 0.960
3 50% British_Isles +50% English @ 1.011
4 50% British +50% English @ 1.011
5 50% British_Isles +50% Kent @ 1.013
6 50% British +50% Kent @ 1.041
7 50% English +50% Orcadian @ 1.073
8 50% Cornwall +50% Orkney @ 1.089
9 50% Kent +50% Orkney @ 1.100
10 50% Kent +50% Orcadian @ 1.106

Using 3 populations approximation:
1 50% English +25% English +25% Orkney @ 0.774
2 50% English +25% Kent +25% Orkney @ 0.800
3 50% Kent +25% English +25% Orkney @ 0.852
4 50% English +25% Irish +25% Irish @ 0.875
5 50% Irish +25% English +25% English @ 0.875
6 50% English +25% English +25% Irish @ 0.901
7 50% Irish +25% English +25% Kent @ 0.906
8 50% English +25% English +25% Orcadian @ 0.913
9 50% English +25% British +25% Irish @ 0.917
10 50% English +25% British_Isles +25% Irish @ 0.922

Using 4 populations approximation:
1 English + English + English + Orkney @ 0.774
2 English + English + Kent + Orkney @ 0.800
3 English + Kent + Kent + Orkney @ 0.852
4 English + English + Irish + Irish @ 0.875
5 English + English + English + Irish @ 0.901
6 English + Irish + Irish + Kent @ 0.906
7 English + English + English + Orcadian @ 0.913
8 British + English + English + Irish @ 0.917
9 British_Isles + English + English + Irish @ 0.922
10 Kent + Kent + Kent + Orkney @ 0.925

Dodecad World9-Ancestors Oracle
Using 1 population approximation:
1 British_Isles @ 1.410
2 Kent @ 1.762
3 British @ 1.938
4 Cornwall @ 2.045
5 Irish @ 2.134
6 Orcadian @ 2.182
7 Orkney @ 2.250
8 CEU30 @ 2.655
9 Argyll @ 2.954
10 German @ 3.122

Using 2 populations approximation:
1 50% Orkney +50% Kent @ 1.301
2 50% Orkney +50% Cornwall @ 1.372
3 50% Orcadian +50% Kent @ 1.401
4 50% Irish +50% Kent @ 1.404
5 50% British_Isles +50% British_Isles @ 1.410
6 50% British_Isles +50% Kent @ 1.438
7 50% Irish +50% Cornwall @ 1.452
8 50% Orcadian +50% Cornwall @ 1.480
9 50% Irish +50% British_Isles @ 1.536
10 50% British +50% Orkney @ 1.545

Using 3 populations approximation:
1 50% Kent +25% British_Isles +25% Orkney @ 1.288
2 50% Orkney +25% Kent +25% Kent @ 1.301
3 50% Kent +25% Orkney +25% Orkney @ 1.301
4 50% British_Isles +25% Irish +25% Kent @ 1.323
5 50% British_Isles +25% Orkney +25% Kent @ 1.324
6 50% Kent +25% Irish +25% Orkney @ 1.326
7 50% Orkney +25% Kent +25% Cornwall @ 1.331
8 50% Kent +25% Irish +25% British_Isles @ 1.338
9 50% Kent +25% Orcadian +25% Orkney @ 1.340
10 50% Kent +25% Orkney +25% Kent @ 1.342

Using 4 populations approximation:
1 British_Isles + Orkney + Kent + Kent @ 1.288
2 Orkney + Orkney + Kent + Kent @ 1.301
3 Irish + British_Isles + British_Isles + Kent @ 1.323
4 British_Isles + British_Isles + Orkney + Kent @ 1.324
5 Irish + Orkney + Kent + Kent @ 1.326
6 Orkney + Orkney + Kent + Cornwall @ 1.331
7 Irish + British_Isles + Kent + Kent @ 1.338
8 Orcadian + Orkney + Kent + Kent @ 1.340
9 British_Isles + Orkney + Kent + Cornwall @ 1.342
10 Orkney + Kent + Kent + Kent @ 1.342

All of mine can be found here and here.

Quote:

---

Originally Posted by plastictuga

All of mine can be found here and here.

---

What would you say are your most accurate results, you think?

I think the higher resolution ones might be more accurate for my family because they split northern Europe up a bit. So instead of going in one line (basically north-south) as is the case in K7b and World9 it actually gives another dimension within northern Europe. That is useful because it means that if i have less 'Atlantic Baltic' (which i do) then i don't end up as British Isles + southern European/Near eastern, but i end up with a much more precise location for that extra ancestry.

So instead of having a general 'southern pull', i can actually see roughly where that pull should come from, so it's a lot less vague. That east-west split in northern Europe is also useful because it kind of stops northern Europe being so linear (especially when Caucasus and Gedrosia are combined) and allows it to sort of spread out sideways.

But anyway i'm off to bed. I think in my order of most to least consistent/accurate/reliable (top 5) it is, because splitting Europe east/west adds that finer detail, even though it is explaining a bit less variation than just a north-south split (the genetic divide is apparently larger between northern and southern Europe than between Eastern and western?):

EUtest
Jtest
K12b
K7b
Harappaworld

Dodecad World9-Ancestors Oracle

Using 1 population approximation:
1 Mixed_Germanic @ 1.395
2 Dutch @ 1.460
3 German @ 1.741
4 Kent @ 2.287
5 Cornwall @ 2.333
6 CEU30 @ 2.406
7 British @ 2.678
8 British_Isles @ 3.605
9 Argyll @ 4.442
10 Irish @ 4.448
250 iterations.



Using 2 populations approximation:
1 50% German +50% Mixed_Germanic @ 1.198
2 50% Mixed_Germanic +50% Dutch @ 1.219
3 50% Mixed_Germanic +50% Kent @ 1.282
4 50% Mixed_Germanic +50% Cornwall @ 1.392
5 50% Mixed_Germanic +50% Mixed_Germanic @ 1.395
6 50% Dutch +50% Dutch @ 1.460
7 50% Mixed_Germanic +50% CEU30 @ 1.523
8 50% British +50% Mixed_Germanic @ 1.526
9 50% Dutch +50% Kent @ 1.530
10 50% German +50% Dutch @ 1.543
31375 iterations.



Using 3 populations approximation:
1 50% Mixed_Germanic +25% Dutch +25% Kent @ 1.109
2 50% Mixed_Germanic +25% Mixed_Germanic +25% Kent @ 1.143
3 50% Mixed_Germanic +25% German +25% Kent @ 1.155
4 50% Mixed_Germanic +25% Dutch +25% Cornwall @ 1.169
5 50% Mixed_Germanic +25% German +25% Dutch @ 1.188
6 50% Mixed_Germanic +25% German +25% Mixed_Germanic @ 1.195
7 50% Dutch +25% Mixed_Germanic +25% Kent @ 1.195
8 50% German +25% Mixed_Germanic +25% Mixed_Germanic @ 1.198
9 50% Mixed_Germanic +25% German +25% German @ 1.198
10 50% Mixed_Germanic +25% German +25% Cornwall @ 1.202
714073 iterations.



Using 4 populations approximation:
1 Mixed_Germanic + Mixed_Germanic + Dutch + Kent @ 1.109
2 Mixed_Germanic + Mixed_Germanic + Mixed_Germanic + Kent @ 1.143
3 German + Mixed_Germanic + Mixed_Germanic + Kent @ 1.155
4 Mixed_Germanic + Mixed_Germanic + Dutch + Cornwall @ 1.169
5 German + Mixed_Germanic + Mixed_Germanic + Dutch @ 1.188
6 German + Mixed_Germanic + Mixed_Germanic + Mixed_Germanic @ 1.195
7 Mixed_Germanic + Dutch + Dutch + Kent @ 1.195
8 German + German + Mixed_Germanic + Mixed_Germanic @ 1.198
9 German + Mixed_Germanic + Mixed_Germanic + Cornwall @ 1.202
10 Mixed_Germanic + Mixed_Germanic + Dutch + Dutch @ 1.219
11 Mixed_Germanic + Mixed_Germanic + Mixed_Germanic + Cornwall @ 1.226
12 Mixed_Germanic + Dutch + Dutch + Cornwall @ 1.228
13 British + Mixed_Germanic + Mixed_Germanic + Dutch @ 1.241
14 Irish + Mixed_Germanic + Mixed_Germanic + Mixed_Germanic @ 1.243
15 Mixed_Germanic + Mixed_Germanic + Mixed_Germanic + Dutch @ 1.256
16 British + Mixed_Germanic + Mixed_Germanic + Mixed_Germanic @ 1.257
17 Mixed_Germanic + Mixed_Germanic + Mixed_Germanic + British_Isles @ 1.266
18 German + Mixed_Germanic + Dutch + Kent @ 1.268
19 Irish + German + German + French @ 1.280
20 Mixed_Germanic + Mixed_Germanic + Kent + Kent @ 1.282

Tarja the German or Dutch.. :P

Dodecad World9

Using 1 population approximation:
1 Lithuanian @ 3.417
2 Lithuanians @ 3.619
3 Swedish @ 3.621
4 Norwegian @ 4.287
5 Belorussian @ 6.096
6 Polish @ 7.255
7 FIN30 @ 7.379
8 Finnish @ 7.473
9 Russian_B @ 8.319
10 Orkney @ 8.324
250 iterations.



Using 2 populations approximation:
1 50% Norwegian +50% Lithuanians @ 1.393
2 50% Norwegian +50% Lithuanian @ 1.516
3 50% Swedish +50% Lithuanians @ 1.521
4 50% Swedish +50% Lithuanian @ 1.637
5 50% Lithuanian +50% Belorussian @ 3.211
6 50% Belorussian +50% Lithuanians @ 3.285
7 50% Lithuanians +50% Orkney @ 3.295
8 50% Polish +50% Lithuanian @ 3.398
9 50% Lithuanian +50% Orkney @ 3.411
10 50% Lithuanian +50% Lithuanian @ 3.417
31375 iterations.



Using 3 populations approximation:
1 50% Norwegian +25% Lithuanians +25% Lithuanians @ 1.393
2 50% Lithuanians +25% Norwegian +25% Norwegian @ 1.393
3 50% Lithuanians +25% Swedish +25% Norwegian @ 1.424
4 50% Norwegian +25% Lithuanian +25% Lithuanians @ 1.435
5 50% Norwegian +25% Lithuanian +25% Lithuanian @ 1.516
6 50% Lithuanian +25% Norwegian +25% Norwegian @ 1.516
7 50% Swedish +25% Lithuanians +25% Lithuanians @ 1.521
8 50% Lithuanians +25% Swedish +25% Swedish @ 1.521
9 50% Lithuanian +25% Swedish +25% Norwegian @ 1.546
10 50% Swedish +25% Lithuanian +25% Lithuanians @ 1.561
188161 iterations.



Using 4 populations approximation:
1 Norwegian + Norwegian + Lithuanians + Lithuanians @ 1.393
2 Swedish + Norwegian + Lithuanians + Lithuanians @ 1.424
3 Norwegian + Norwegian + Lithuanian + Lithuanians @ 1.435
4 Swedish + Norwegian + Lithuanian + Lithuanians @ 1.466
5 Norwegian + Norwegian + Lithuanian + Lithuanian @ 1.516
6 Swedish + Swedish + Lithuanians + Lithuanians @ 1.521
7 Swedish + Norwegian + Lithuanian + Lithuanian @ 1.546
8 Swedish + Swedish + Lithuanian + Lithuanians @ 1.561
9 Swedish + Swedish + Lithuanian + Lithuanian @ 1.637
10 Finnish + Lithuanians + Lithuanians + Orkney @ 1.672
11 Finnish + Norwegian + Lithuanians + Lithuanians @ 1.736
12 Norwegian + Lithuanians + Lithuanians + FIN30 @ 1.769
13 Finnish + Lithuanian + Lithuanians + Orkney @ 1.769
14 Lithuanians + Lithuanians + FIN30 + Orkney @ 1.776
15 Finnish + Orcadian + Lithuanians + Lithuanians @ 1.781
16 Finnish + Norwegian + Lithuanian + Lithuanians @ 1.801
17 Irish + Finnish + Lithuanians + Lithuanians @ 1.805
18 Finnish + British_Isles + Lithuanians + Lithuanians @ 1.811
19 Norwegian + Lithuanian + Lithuanians + FIN30 @ 1.833
20 Finnish + Lithuanian + Orcadian + Lithuanians @ 1.868

3312336 iterations.


http://upload.wikimedia.org/wikipedi...8-1940.svg.png
:p

Quote:

---

Originally Posted by Graham

Tarja the German or Dutch.. :P

---

Strange results to get, considering yours are so reasonable. :P

I'm the most British Scottish Separatist in the land.

Quote:

---

Originally Posted by Graham

What would you say are your most accurate results, you think?

---

Jtest, Eutest, Dodecad K12b, World9, and K7b . Too bad there isn't an oracle 4 calculator for Eurogenes k12, that one might be the most accurate for me.

Quote:

---

Originally Posted by Pallantides

Dodecad World9

Using 1 population approximation:
1 Lithuanian @ 3.417
2 Lithuanians @ 3.619
3 Swedish @ 3.621
4 Norwegian @ 4.287
5 Belorussian @ 6.096
6 Polish @ 7.255
7 FIN30 @ 7.379
8 Finnish @ 7.473
9 Russian_B @ 8.319
10 Orkney @ 8.324
250 iterations.



Using 2 populations approximation:
1 50% Norwegian +50% Lithuanians @ 1.393
2 50% Norwegian +50% Lithuanian @ 1.516
3 50% Swedish +50% Lithuanians @ 1.521
4 50% Swedish +50% Lithuanian @ 1.637
5 50% Lithuanian +50% Belorussian @ 3.211
6 50% Belorussian +50% Lithuanians @ 3.285
7 50% Lithuanians +50% Orkney @ 3.295
8 50% Polish +50% Lithuanian @ 3.398
9 50% Lithuanian +50% Orkney @ 3.411
10 50% Lithuanian +50% Lithuanian @ 3.417
31375 iterations.



Using 3 populations approximation:
1 50% Norwegian +25% Lithuanians +25% Lithuanians @ 1.393
2 50% Lithuanians +25% Norwegian +25% Norwegian @ 1.393
3 50% Lithuanians +25% Swedish +25% Norwegian @ 1.424
4 50% Norwegian +25% Lithuanian +25% Lithuanians @ 1.435
5 50% Norwegian +25% Lithuanian +25% Lithuanian @ 1.516
6 50% Lithuanian +25% Norwegian +25% Norwegian @ 1.516
7 50% Swedish +25% Lithuanians +25% Lithuanians @ 1.521
8 50% Lithuanians +25% Swedish +25% Swedish @ 1.521
9 50% Lithuanian +25% Swedish +25% Norwegian @ 1.546
10 50% Swedish +25% Lithuanian +25% Lithuanians @ 1.561
188161 iterations.



Using 4 populations approximation:
1 Norwegian + Norwegian + Lithuanians + Lithuanians @ 1.393
2 Swedish + Norwegian + Lithuanians + Lithuanians @ 1.424
3 Norwegian + Norwegian + Lithuanian + Lithuanians @ 1.435
4 Swedish + Norwegian + Lithuanian + Lithuanians @ 1.466
5 Norwegian + Norwegian + Lithuanian + Lithuanian @ 1.516
6 Swedish + Swedish + Lithuanians + Lithuanians @ 1.521
7 Swedish + Norwegian + Lithuanian + Lithuanian @ 1.546
8 Swedish + Swedish + Lithuanian + Lithuanians @ 1.561
9 Swedish + Swedish + Lithuanian + Lithuanian @ 1.637
10 Finnish + Lithuanians + Lithuanians + Orkney @ 1.672
11 Finnish + Norwegian + Lithuanians + Lithuanians @ 1.736
12 Norwegian + Lithuanians + Lithuanians + FIN30 @ 1.769
13 Finnish + Lithuanian + Lithuanians + Orkney @ 1.769
14 Lithuanians + Lithuanians + FIN30 + Orkney @ 1.776
15 Finnish + Orcadian + Lithuanians + Lithuanians @ 1.781
16 Finnish + Norwegian + Lithuanian + Lithuanians @ 1.801
17 Irish + Finnish + Lithuanians + Lithuanians @ 1.805
18 Finnish + British_Isles + Lithuanians + Lithuanians @ 1.811
19 Norwegian + Lithuanian + Lithuanians + FIN30 @ 1.833
20 Finnish + Lithuanian + Orcadian + Lithuanians @ 1.868

3312336 iterations.


http://upload.wikimedia.org/wikipedi...8-1940.svg.png
:p

---

Quote:

---

Originally Posted by plastictuga

Jtest, Eutest, Dodecad K12b, World9, and K7b . Too bad there isn't an oracle 4 calculator for Eurogenes k12, that one might be the most accurate for me.

---

Yeah K=12 is one of my old favourites, i guess it wouldn't be too dissimilar from EUtest (many of the components are almost the same).

World9

Caucasus_Gedrosia 35.32%
Atlantic_Baltic 32.95%
Southern 27.51%
Siberian 2.42%
East_Asian 1.05%
South_Asian 0.41%
Australasian 0.29%

Using 1 population approximation:
1 Greek @ 13.263
2 Turkish @ 13.711
3 S_Italian @ 14.531
4 Ashkenazy_Jews @ 14.660
5 S_Italian_Sicilian @ 14.765
6 Ashkenazi @ 15.603
7 Sicilian @ 15.950
8 Turks @ 17.503
9 Balkars @ 18.673
10 C_Italian @ 18.729


Using 2 populations approximation:
1 50% C_Italian +50% Adygei @ 1.696
2 50% C_Italian +50% Balkars @ 2.303
3 50% North_Italian +50% Abhkasians @ 2.438
4 50% C_Italian +50% North_Ossetians @ 2.541
5 50% C_Italian +50% Chechens @ 2.622
6 50% C_Italian +50% Kumyks @ 2.627
7 50% N_Italian +50% Abhkasians @ 2.671
8 50% O_Italian +50% North_Ossetians @ 2.799
9 50% O_Italian +50% Adygei @ 2.806
10 50% Bulgarian +50% Armenians @ 2.971


Using 3 populations approximation:
1 50% Armenian +25% Greek +25% Mordovians @ 1.103
2 50% Armenians +25% Greek +25% Mordovians @ 1.225
3 50% Armenians +25% Greek +25% Russian @ 1.270
4 50% Armenians +25% Russian +25% Cypriots @ 1.326
5 50% Armenians +25% Russian +25% Cypriots @ 1.383
6 50% Armenian +25% Greek +25% Russian @ 1.452
7 50% Armenians +25% Russian +25% Greek @ 1.471
8 50% TSI30 +25% Georgians +25% North_Ossetians @ 1.472
9 50% Armenians +25% French_Basque +25% Balkars @ 1.512
10 50% Armenians +25% Cypriots +25% Russian_B @ 1.525


Using 4 populations approximation:
1 Armenian + Armenian + Greek + Mordovians @ 1.103
2 Armenian + Greek + Mordovians + Armenians @ 1.129
3 Russian + Greek + Georgians + Iraq_Jews @ 1.176
4 Russian + Assyrian + S_Italian_Sicilian + Georgians @ 1.216
5 Greek + Mordovians + Armenians + Armenians @ 1.225
6 Russian + Assyrian + Sicilian + Georgians @ 1.255
7 Russian + Assyrian + S_Italian + Georgians @ 1.257
8 Greek + Russian + Armenians + Armenians @ 1.270
9 Greek + Russian + Georgians + Iraq_Jews @ 1.292
10 Ashkenazi + Russian + Assyrian + Georgians @ 1.296
11 Russian + Armenians + Armenians + Cypriots @ 1.326
12 Armenian + Greek + Russian + Armenians @ 1.333
13 Russian + Assyrian + Ashkenazy_Jews + Georgians @ 1.344
14 Georgians + Sephardic_Jews + FIN30 + Armenians @ 1.345
15 Armenian + Finnish + Sephardic_Jews + Abhkasians @ 1.345
16 S_Italian + Armenians + Mordovians + Armenians @ 1.346
17 Armenian + Georgians + Sephardic_Jews + FIN30 @ 1.358
18 Finnish + Georgians + Sephardic_Jews + Armenians @ 1.362
19 C_Italian + Georgians + Iraq_Jews + Mordovians @ 1.363
20 S_Italian_Sicilian + Georgia_Jews + Georgians + Mordovians @ 1.365

Mordovians, interesting, could explain the Russians and Poles in my AF
http://en.wikipedia.org/wiki/Mordvins

Wouldn't take the countries named quite literally, but draw a map of the places..& put yourself between them.

That's what I think anyway. So it'd place you somewhere North East of Turkey..

EUtest 4-Ancestors Oracle
--------------------------------
Least-squares method.

Using 1 population approximation:
1 AJ @ 4.141
2 South_Italian_&_Sicilian @ 8.003
3 GR @ 10.403
4 Tuscan @ 17.018
5 North_Italian @ 20.621
6 RO @ 22.431
7 TR @ 24.400
8 Serbian @ 24.500
9 IQ @ 24.579
10 Samaritan @ 26.634
78 iterations.

Using 2 populations approximation:
1 50% AJ +50% AJ @ 4.141
2 50% FR +50% Samaritan @ 5.029
3 50% AJ +50% South_Italian_&_Sicilian @ 5.246
4 50% AT +50% Samaritan @ 5.291
5 50% North_Italian +50% Samaritan @ 5.586
6 50% PT +50% Samaritan @ 5.872
7 50% IQ +50% North_Italian @ 6.093
8 50% ES +50% Samaritan @ 6.203
9 50% AJ +50% GR @ 6.375
10 50% Samaritan +50% Serbian @ 6.570
3081 iterations.

Using 3 populations approximation:
1 50% Samaritan +25% ES +25% HU @ 2.001
2 50% Samaritan +25% ES +25% Serbian @ 2.390
3 50% Samaritan +25% ES +25% RO @ 2.438
4 50% Samaritan +25% FR +25% RO @ 2.471
5 50% Samaritan +25% HU +25% PT @ 2.505
6 50% Samaritan +25% AT +25% ES @ 2.761
7 50% Samaritan +25% AT +25% North_Italian @ 2.772
8 50% Samaritan +25% PT +25% RO @ 2.971
9 50% Samaritan +25% AT +25% PT @ 2.977
10 50% Samaritan +25% PT +25% Serbian @ 3.069
107978 iterations.

Using 4 populations approximation:
1 ES + HU + Samaritan + Samaritan @ 2.001
2 ES + Samaritan + Samaritan + Serbian @ 2.390
3 ES + RO + Samaritan + Samaritan @ 2.438
4 FR + RO + Samaritan + Samaritan @ 2.471
5 HU + PT + Samaritan + Samaritan @ 2.505
6 AT + ES + Samaritan + Samaritan @ 2.761
7 AT + North_Italian + Samaritan + Samaritan @ 2.772
8 PT + RO + Samaritan + Samaritan @ 2.971
9 ES + IQ + RO + Samaritan @ 2.976
10 AT + PT + Samaritan + Samaritan @ 2.977
11 PT + Samaritan + Samaritan + Serbian @ 3.069
12 FR + Samaritan + Samaritan + Serbian @ 3.110
13 HU + North_Italian + Samaritan + Samaritan @ 3.218
14 AJ + AJ + ES + Samaritan @ 3.240
15 AJ + AJ + PT + Samaritan @ 3.395
16 FR + HU + Samaritan + Samaritan @ 3.477
17 IQ + PT + RO + Samaritan @ 3.489
18 French_Basque + Samaritan + Samaritan + Serbian @ 3.496
19 ES + IQ + Samaritan + Serbian @ 3.504
20 AJ + AJ + North_Italian + Samaritan @ 3.522

Quote:

---

Originally Posted by Graham

Wouldn't take the countries named quite literally, but draw a map of the places..& put yourself between them.

That's what I think anyway. So it'd place you somewhere North East of Turkey..

---

Actually i tried this, more to see how close the Phased Data files are to the actual people, using the 4 ancestors oracle. On the maternal phased data file it seemed to be very similar so i just put it practically overlapping. I'll try it with the normal oracle again shortly, never compared the phased and normal ones with ordinary oracle. My maternal phased data file is closest to the mark, but only by a small amount. Will try it with some different calculators too.

Likely the normal oracle will be much more accurate, but it will be interesting to see whether the phased data files differ significantly more on the finer detail.

Brown circles are ordinary files, black circles are phased. Paternal phased data file is the one to the north, maternal is the one to the south. The lone brown dot is me (i can't have a phased data file for myself).

http://i628.photobucket.com/albums/u...ps630d65c6.png

Here it is with the normal oracle. Seems to be the same sort of thing, but the finer detail shows what is actually the case:

http://i628.photobucket.com/albums/u...psfe144e33.png

MDLP K=11 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent
1 Mediterranean 36.29
2 Caucasian 28.62
3 Iberian 10.37
4 Celto_Germanic 9.84
5 East_European 7.82
6 South_Central_Asian 2.97
7 Volga_Uralic 2.11
8 Altaic_Turkic 1.99

--------------------------------
Least-squares method.

Using 1 population approximation:
1 CITAL @ 9.976
2 SIC @ 11.890
3 ASHK @ 12.365
4 GRK @ 13.937
5 NITAL @ 19.095
6 CPR @ 24.801
7 CRS @ 24.855
8 GGZ @ 25.026
9 BLG @ 25.075
10 RMN @ 25.222
73 iterations.

Using 2 populations approximation:
1 50% CRS +50% TRK @ 7.220
2 50% LZG +50% SRD @ 7.704
3 50% NITAL +50% TRK @ 9.368
4 50% CITAL +50% GRK @ 9.426
5 50% BLG +50% CPR @ 9.626
6 50% ASHK +50% CITAL @ 9.866
7 50% GRK +50% NITAL @ 9.900
8 50% CITAL +50% CITAL @ 9.976
9 50% CITAL +50% SIC @ 10.136
10 50% ASHK +50% NITAL @ 10.667
2701 iterations.

Using 3 populations approximation:
1 50% GRK +25% IBR +25% TRK @ 2.867
2 50% GRK +25% SPN +25% TRK @ 2.889
3 50% GRK +25% PRT +25% TRK @ 3.674
4 50% ASHK +25% SPN +25% TRK @ 4.070
5 50% GRK +25% ARM +25% IBR @ 4.131
6 50% GRK +25% ARM +25% SPN @ 4.210
7 50% ASHK +25% IBR +25% TRK @ 4.332
8 50% CPR +25% RMN +25% SPN @ 4.576
9 50% CPR +25% BLG +25% SPN @ 4.654
10 50% CPR +25% BSN +25% SPN @ 4.747
59897 iterations.

Using 4 populations approximation:
1 ASHK + GRK + SPN + TRK @ 2.723
2 GRK + GRK + IBR + TRK @ 2.867
3 GRK + GRK + SPN + TRK @ 2.889
4 ASHK + GRK + IBR + TRK @ 2.907
5 ARM + GGZ + IBR + SIC @ 2.926
6 BLG + NOSS + SIC + SRD @ 2.978
7 ARM + GGZ + SIC + SPN @ 3.077
8 GRK + SIC + SPN + TRK @ 3.127
9 GRK + IBR + SIC + TRK @ 3.244
10 BLG + CITAL + NOSS + SRD @ 3.247
11 CPR + IBR + MCD + TRK @ 3.301
12 ARM + IBR + RMN + SIC @ 3.403
13 CPR + IBR + RMN + TRK @ 3.411
14 CPR + MCD + SPN + TRK @ 3.413
15 ARM + IBR + MCD + SIC @ 3.430
16 CPR + GGZ + IBR + TRK @ 3.443
17 ADG + BLG + CITAL + SRD @ 3.459
18 ARM + GER + SRD + TRK @ 3.492
19 GGZ + NITAL + NOSS + SRD @ 3.500
20 ARM + MCD + SIC + SPN @ 3.549
65717 iterations.

MDLP K=12 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent
1 Paleo_Mediterranean 35.49
2 Caucasian 27.79
3 Iberian 10.11
4 Celto_Germanic 9.38
5 East_European 6.95
6 South_Central_Asian 2.92
7 Balto_Finnic 2.45
8 Volga_Uralic 1.96
9 Altaic_Turkic 1.91
10 Paleo_Balkanic 1.03

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

Least-squares method.

Using 1 population approximation:
1 CITAL @ 9.876
2 SIC @ 12.256
3 ASHK @ 12.741
4 GRK @ 14.000
5 NITAL @ 18.535
6 CRS @ 24.266
7 GGZ @ 24.780
8 CPR @ 24.851
9 BLG @ 25.249
10 RMN @ 25.396
73 iterations.

Using 2 populations approximation:
1 50% CRS +50% TRK @ 6.708
2 50% LZG +50% SRD @ 7.472
3 50% NITAL +50% TRK @ 9.031
4 50% CITAL +50% GRK @ 9.546
5 50% GRK +50% NITAL @ 9.843
6 50% CITAL +50% CITAL @ 9.876
7 50% BLG +50% CPR @ 9.904
8 50% ASHK +50% CITAL @ 10.059
9 50% CITAL +50% SIC @ 10.211
10 50% ASHK +50% NITAL @ 10.538
2701 iterations.

Using 3 populations approximation:
1 50% GRK +25% SPN +25% TRK @ 2.474
2 50% GRK +25% IBR +25% TRK @ 2.636
3 50% GRK +25% PRT +25% TRK @ 3.551
4 50% ASHK +25% SPN +25% TRK @ 3.823
5 50% ASHK +25% IBR +25% TRK @ 4.038
6 50% GRK +25% ARM +25% SPN @ 4.166
7 50% GRK +25% ARM +25% IBR @ 4.176
8 50% TRK +25% GER +25% SRD @ 4.325
9 50% CPR +25% RMN +25% SPN @ 4.730
10 50% CPR +25% BLG +25% SPN @ 4.793
62309 iterations.

Using 4 populations approximation:
1 ASHK + GRK + SPN + TRK @ 2.158
2 ASHK + GRK + IBR + TRK @ 2.433
3 GRK + GRK + SPN + TRK @ 2.474
4 GRK + SIC + SPN + TRK @ 2.491
5 GRK + IBR + SIC + TRK @ 2.611
6 GRK + GRK + IBR + TRK @ 2.636
7 ARM + GGZ + IBR + SIC @ 2.685
8 ARM + GGZ + SIC + SPN @ 2.701
9 BLG + NOSS + SIC + SRD @ 2.706
10 ARM + IBR + RMN + SIC @ 3.085
11 ARM + RMN + SIC + SPN @ 3.094
12 BLG + CITAL + NOSS + SRD @ 3.098
13 ARM + GER + SRD + TRK @ 3.132
14 CITAL + GRK + SPN + TRK @ 3.149
15 GRK + PRT + SIC + TRK @ 3.297
16 CPR + RMN + SPN + TRK @ 3.303
17 GGZ + NITAL + NOSS + SRD @ 3.315
18 CPR + IBR + RMN + TRK @ 3.334
19 CPR + GGZ + SPN + TRK @ 3.364
20 CPR + GGZ + IBR + TRK @ 3.390
65886 iterations.

MDLP K=10 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent
1 Paleo_Mediterranean 36.55
2 Caucasian 29.17
3 Iberian 10.76
4 British 9.96
5 East_European 8.22
6 South_Central_Asian 3.06
7 Altaic_Turkic 2.28

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

Least-squares method.

Using 1 population approximation:
1 CITAL @ 9.826
2 SIC @ 11.923
3 ASHK @ 12.310
4 GRK @ 13.773
5 NITAL @ 19.178
6 GGZ @ 24.869
7 CPR @ 24.871
8 CRS @ 24.934
9 RMN @ 25.151
10 BLG @ 25.252
73 iterations.

Using 2 populations approximation:
1 50% CRS +50% TRK @ 7.192
2 50% LZG +50% SRD @ 7.780
3 50% CITAL +50% GRK @ 9.237
4 50% NITAL +50% TRK @ 9.354
5 50% BLG +50% CPR @ 9.531
6 50% ASHK +50% CITAL @ 9.706
7 50% CITAL +50% CITAL @ 9.826
8 50% GRK +50% NITAL @ 9.872
9 50% CITAL +50% SIC @ 10.075
10 50% ASHK +50% NITAL @ 10.605
2701 iterations.

Using 3 populations approximation:
1 50% GRK +25% IBR +25% TRK @ 2.898
2 50% GRK +25% SPN +25% TRK @ 2.914
3 50% GRK +25% PRT +25% TRK @ 3.681
4 50% GRK +25% ARM +25% IBR @ 3.994
5 50% GRK +25% ARM +25% SPN @ 4.093
6 50% ASHK +25% SPN +25% TRK @ 4.188
7 50% ASHK +25% IBR +25% TRK @ 4.403
8 50% CPR +25% RMN +25% SPN @ 4.540
9 50% CPR +25% BSN +25% SPN @ 4.690
10 50% CPR +25% BLG +25% SPN @ 4.705
57719 iterations.

Using 4 populations approximation:
1 ASHK + GRK + SPN + TRK @ 2.886
2 GRK + GRK + IBR + TRK @ 2.898
3 ARM + GGZ + IBR + SIC @ 2.900
4 GRK + GRK + SPN + TRK @ 2.914
5 BLG + NOSS + SIC + SRD @ 2.955
6 ASHK + GRK + IBR + TRK @ 3.035
7 ARM + GGZ + SIC + SPN @ 3.066
8 BLG + CITAL + NOSS + SRD @ 3.115
9 GGZ + NITAL + NOSS + SRD @ 3.255
10 CPR + IBR + MCD + TRK @ 3.266
11 CITAL + NOSS + RMN + SRD @ 3.328
12 GRK + SIC + SPN + TRK @ 3.341
13 CPR + MCD + SPN + TRK @ 3.359
14 ARM + GER + SRD + TRK @ 3.409
15 GRK + IBR + SIC + TRK @ 3.420
16 ARM + IBR + MCD + SIC @ 3.426
17 CPR + GGZ + IBR + TRK @ 3.430
18 ADG + BLG + CITAL + SRD @ 3.464
19 ARM + IBR + RMN + SIC @ 3.496
20 ARM + GGZ + PRT + SIC @ 3.506
70077 iterations.

MDLP World-22:

Using 2 populations approximation:
1 50% Japanese +50% Welsh @ 2.201
2 50% Japanese +50% Norwegian_V @ 2.365
3 50% CEU +50% Japanese @ 2.531
4 50% CEU_V +50% Japanese @ 2.707
5 50% British +50% Japanese @ 2.974
6 50% Japanese +50% Orcadian @ 3.033
7 50% German_V +50% Japanese @ 3.450
8 50% Japanese +50% Swedish @ 3.654
9 50% Austrian +50% Japanese @ 3.882
10 50% Tu +50% Welsh @ 4.007
38226 iterations.



Using 3 populations approximation:
1 50% Japanese +25% Norwegian_V +25% Welsh @ 1.780
2 50% Japanese +25% CEU_V +25% Norwegian_V @ 1.885
3 50% Japanese +25% German_V +25% Norwegian_V @ 1.970
4 50% Japanese +25% British +25% Swedish @ 1.970
5 50% Japanese +25% CEU +25% Swedish @ 1.996
6 50% Japanese +25% CEU +25% Norwegian_V @ 2.001
7 50% Japanese +25% Austrian +25% Norwegian_V @ 2.062
8 50% Japanese +25% British +25% Norwegian_V @ 2.076
9 50% Japanese +25% CEU_V +25% Orcadian @ 2.088
10 50% Japanese +25% CEU +25% CEU_V @ 2.092
1877348 iterations.



Using 4 populations approximation:
1 Japanese + Japanese + Norwegian_V + Welsh @ 1.780
2 CEU_V + Japanese + Japanese + Norwegian_V @ 1.885
3 German_V + Japanese + Japanese + Norwegian_V @ 1.970
4 British + Japanese + Japanese + Swedish @ 1.970
5 CEU + Japanese + Japanese + Swedish @ 1.996
6 CEU + Japanese + Japanese + Norwegian_V @ 2.001
7 Austrian + Japanese + Japanese + Norwegian_V @ 2.062
8 British + Japanese + Japanese + Norwegian_V @ 2.076
9 CEU_V + Japanese + Japanese + Orcadian @ 2.088
10 CEU + CEU_V + Japanese + Japanese @ 2.092
11 Japanese + Japanese + Orcadian + Swedish @ 2.093
12 German-South + Japanese + Japanese + Swedish_V @ 2.120
13 British + Japanese + Japanese + Swedish_V @ 2.132
14 CEU + Japanese + Japanese + Welsh @ 2.180
15 British + CEU_V + Japanese + Japanese @ 2.193
16 Japanese + Japanese + Welsh + Welsh @ 2.201
17 German-North + Japanese + Japanese + Orcadian @ 2.212
18 German_V + Japanese + Japanese + Orcadian @ 2.216
19 CEU_V + Japanese + Japanese + Welsh @ 2.221
20 German + Japanese + Japanese + Orcadian @ 2.227


Eurogenes EUTest:

Using 2 populations approximation:
1 50% Cornish +50% Japanese @ 4.476
2 50% Japanese +50% Orcadian @ 4.517
3 50% IE +50% Japanese @ 4.736
4 50% Japanese +50% Scottish @ 4.745
5 50% Cornish +50% KR @ 5.013
6 50% KR +50% Orcadian @ 5.049
7 50% IE +50% KR @ 5.241
8 50% KR +50% Scottish @ 5.260
9 50% Japanese +50% NL @ 5.280
10 50% DK +50% Japanese @ 5.328
3081 iterations.



Using 3 populations approximation:
1 50% Japanese +25% French_Basque +25% South_Finnish @ 2.571
2 50% Japanese +25% East_Finnish +25% French_Basque @ 2.624
3 50% KR +25% East_Finnish +25% French_Basque @ 2.980
4 50% KR +25% French_Basque +25% South_Finnish @ 3.089
5 50% Japanese +25% EE +25% French_Basque @ 3.637
6 50% Japanese +25% Cornish +25% North_Swedish @ 4.067
7 50% Japanese +25% French_Basque +25% North_Swedish @ 4.162
8 50% Japanese +25% North_Swedish +25% Scottish @ 4.232
9 50% KR +25% EE +25% French_Basque @ 4.249
10 50% Japanese +25% French_Basque +25% North_Russian @ 4.293
90086 iterations.



Using 4 populations approximation:
1 French_Basque + Japanese + Japanese + South_Finnish @ 2.571
2 East_Finnish + French_Basque + Japanese + Japanese @ 2.624
3 East_Finnish + French_Basque + Japanese + KR @ 2.711
4 French_Basque + Japanese + KR + South_Finnish @ 2.747
5 East_Finnish + French_Basque + KR + KR @ 2.980
6 French_Basque + KR + KR + South_Finnish @ 3.089
7 EE + French_Basque + Japanese + Japanese @ 3.637
8 EE + French_Basque + Japanese + KR @ 3.887
9 Cornish + Japanese + Japanese + North_Swedish @ 4.067
10 French_Basque + Japanese + Japanese + North_Swedish @ 4.162
11 Japanese + Japanese + North_Swedish + Scottish @ 4.232
12 EE + French_Basque + KR + KR @ 4.249
13 Cornish + Japanese + KR + North_Swedish @ 4.253
14 French_Basque + Japanese + Japanese + North_Russian @ 4.293
15 East_Russian + French_Basque + Japanese + Japanese @ 4.340
16 French_Basque + Japanese + KR + North_Swedish @ 4.349
17 French_Basque + Japanese + KR + North_Russian @ 4.373
18 IE + Japanese + Japanese + North_Swedish @ 4.392
19 Cornish + Japanese + Japanese + Orcadian @ 4.402
20 Japanese + KR + North_Swedish + Scottish @ 4.412


Dodecad V3:

Using 2 populations approximation:
1 50% German +50% Japanese @ 2.491
2 50% CEU +50% Japanese @ 2.862
3 50% German +50% Korean @ 3.048
4 50% Japanese +50% Orcadian @ 3.158
5 50% Japanese +50% Argyll @ 3.203
6 50% Japanese +50% Orkney @ 3.285
7 50% CEU +50% Korean @ 3.485
8 50% German +50% Japanese @ 3.519
9 50% Japanese +50% N._European @ 3.534
10 50% Korean +50% Argyll @ 3.684
25878 iterations.



Using 3 populations approximation:
1 50% Japanese +25% CEU +25% German @ 2.046
2 50% German +25% Hezhen +25% JPT @ 2.101
3 50% Japanese +25% German +25% Orcadian @ 2.154
4 50% German +25% Han +25% Hezhen @ 2.212
5 50% Japanese +25% German +25% Orkney @ 2.233
6 50% German +25% CHB +25% Hezhen @ 2.304
7 50% German +25% Daur +25% JPT @ 2.305
8 50% Japanese +25% British_Isles +25% Hungarians @ 2.315
9 50% German +25% CHS +25% Oroqen @ 2.324
10 50% German +25% Lahu +25% Oroqen @ 2.335
711333 iterations.



Using 4 populations approximation:
1 CEU + German + Lahu + Oroqen @ 1.660
2 CEU + German + Hezhen + JPT @ 1.688
3 CEU + German + Han + Hezhen @ 1.745
4 German + Lahu + Orcadian + Oroqen @ 1.792
5 CEU + Dai + German + Oroqen @ 1.793
6 CEU + Daur + German + JPT @ 1.795
7 CEU + German + Hezhen + Yizu @ 1.806
8 German + Hezhen + JPT + Orcadian @ 1.818
9 CEU + Chinese + German + Hezhen @ 1.866
10 German + Lahu + Orkney + Oroqen @ 1.868
11 German + Han + Hezhen + Orcadian @ 1.869
12 CEU + German + Hezhen + Naxi @ 1.882
13 German + Hezhen + JPT + Orkney @ 1.892
14 CEU + German + Hezhen + Tujia @ 1.893
15 CEU + Chinese + Daur + German @ 1.893
16 CEU + German + Hezhen + She @ 1.894
17 Daur + German + JPT + Orcadian @ 1.908
18 CEU + CHS + German + Oroqen @ 1.910
19 Dai + German + Orcadian + Oroqen @ 1.917
20 CEU + Daur + German + Yizu @ 1.918


HarappaWorld:

Using 2 populations approximation:
1 50% japanese +50% utahn-white @ 2.813
2 50% japanese +50% n-european @ 2.923
3 50% japanese +50% utahn-white @ 2.963
4 50% british +50% japanese @ 3.284
5 50% japanese +50% orcadian @ 4.228
6 50% tu +50% utahn-white @ 4.772
7 50% naxi +50% utahn-white @ 4.903
8 50% n-european +50% tu @ 4.974
9 50% tu +50% utahn-white @ 4.984
10 50% british +50% tu @ 4.992
61425 iterations.



Using 3 populations approximation:
1 50% utahn-white +25% chinese-beijing +25% xibo @ 2.439
2 50% utahn-white +25% chinese-beijing +25% xibo @ 2.453
3 50% n-european +25% chinese-beijing +25% xibo @ 2.659
4 50% n-european +25% chinese-beijing +25% xibo @ 2.676
5 50% utahn-white +25% chinese-beijing +25% xibo @ 2.688
6 50% utahn-white +25% chinese-beijing +25% xibo @ 2.700
7 50% utahn-white +25% han-nchina +25% xibo @ 2.700
8 50% japanese +25% russian +25% spain-basc @ 2.701
9 50% japanese +25% n-european +25% utahn-white @ 2.713
10 50% japanese +25% russian +25% spain-basc @ 2.722
1268948 iterations.



Using 4 populations approximation:
1 chinese-beijing + russian + spain-basc + xibo @ 2.008
2 chinese-beijing + russian + spain-basc + xibo @ 2.014
3 basque + chinese-beijing + russian + xibo @ 2.221
4 basque + chinese-beijing + russian + xibo @ 2.222
5 chinese-beijing + russian + spain-basc + xibo @ 2.267
6 chinese-beijing + russian + spain-basc + xibo @ 2.299
7 chinese-beijing + n-european + utahn-white + xibo @ 2.374
8 chinese-beijing + n-european + utahn-white + xibo @ 2.391
9 chinese-beijing + mordovian + spain-basc + xibo @ 2.423
10 chinese-beijing + mordovian + spain-basc + xibo @ 2.426
11 british + chinese-beijing + n-european + xibo @ 2.430
12 chinese-beijing + utahn-white + utahn-white + xibo @ 2.439
13 british + chinese-beijing + n-european + xibo @ 2.445
14 chinese-beijing + utahn-white + utahn-white + xibo @ 2.453
15 chinese-beijing + utahn-white + utahn-white + xibo @ 2.489
16 han-nchina + russian + spain-basc + xibo @ 2.500
17 chinese-beijing + utahn-white + utahn-white + xibo @ 2.502
18 han-nchina + russian + spain-basc + xibo @ 2.536
19 basque + chinese-beijing + russian + xibo @ 2.565
20 chinese-beijing + mongola + russian + spain-basc @ 2.566

MDLP K=12
Using 1 population approximation:
1 PRT @ 11.692
2 NITAL @ 13.508
3 IBR @ 14.494
4 SPN @ 15.408
5 CRS @ 16.227
6 FRN @ 18.094
7 BLG @ 23.058
8 CITAL @ 24.556
9 GER @ 28.240
10 RMN @ 30.134

Using 2 populations approximation:
1 50% BLG +50% IBR @ 6.967
2 50% BLG +50% PRT @ 7.312
3 50% CITAL +50% FRN @ 7.362
4 50% FRN +50% NITAL @ 7.385
5 50% BLG +50% SPN @ 7.388
6 50% IBR +50% NITAL @ 8.302
7 50% CRS +50% FRN @ 8.348
8 50% NITAL +50% SPN @ 8.489
9 50% CRS +50% GER @ 8.638
10 50% NITAL +50% PRT @ 8.719

Using 3 populations approximation:
1 50% PRT +25% CITAL +25% GER @ 2.859
2 50% PRT +25% GER +25% SIC @ 2.958
3 50% NITAL +25% GER +25% SPN @ 3.040
4 50% NITAL +25% GER +25% IBR @ 3.081
5 50% IBR +25% ASHK +25% GER @ 3.132
6 50% PRT +25% ASHK +25% GER @ 3.299
7 50% PRT +25% FRN +25% GGZ @ 3.409
8 50% IBR +25% CITAL +25% GER @ 3.455
9 50% IBR +25% GER +25% SIC @ 3.622
10 50% FRN +25% GRK +25% IBR @ 3.636

Using 4 populations approximation:
1 CITAL + GER + IBR + PRT @ 2.760
2 ASHK + GER + IBR + PRT @ 2.813
3 CITAL + GER + PRT + PRT @ 2.859
4 GER + IBR + PRT + SIC @ 2.916
5 BLG + FRN + NITAL + SPN @ 2.936
6 GER + PRT + PRT + SIC @ 2.958
7 CITAL + GER + PRT + SPN @ 2.966
8 GER + NITAL + NITAL + SPN @ 3.040
9 BLG + FRN + IBR + NITAL @ 3.049
10 GER + IBR + NITAL + NITAL @ 3.081
11 ASHK + GER + PRT + SPN @ 3.120
12 ASHK + GER + IBR + IBR @ 3.132
13 FRN + IBR + NITAL + RMN @ 3.162
14 FRN + NITAL + RMN + SPN @ 3.237
15 ASHK + GER + PRT + PRT @ 3.299
16 GER + PRT + SIC + SPN @ 3.312
17 FRN + GGZ + PRT + PRT @ 3.409
18 CRS + GER + NITAL + SPN @ 3.417
19 CITAL + GER + IBR + IBR @ 3.455
20 FRN + GGZ + IBR + PRT @ 3.462

MDLP World
1 Portuguese @ 6.185
2 Italian_North @ 6.558
3 Provancal @ 7.323
4 Swiss @ 7.937
5 Italian-North @ 8.825
6 Montenegrin @ 9.166
7 Bulgarian @ 9.435
8 Iberian @ 9.648
9 Macedonian @ 9.721
10 Corsican @ 9.963

Using 2 populations approximation:
1 50% Bulgarian +50% Portuguese @ 3.682
2 50% Macedonian +50% Portuguese @ 3.861
3 50% Latvian_V +50% Otzi @ 3.956
4 50% Ashkenazim_V +50% Spaniard @ 4.334
5 50% Montenegrin +50% Portuguese @ 4.356
6 50% Gagauz +50% Portuguese @ 4.372
7 50% Bulgarian +50% Iberian @ 4.552
8 50% Otzi +50% Ukrainian-Center @ 4.559
9 50% Gagauz +50% Iberian @ 4.622
10 50% Otzi +50% Ukrainian_V @ 4.633

Using 3 populations approximation:
1 50% German-North +25% Jew_Libya +25% Sardinian @ 1.554
2 50% Czech +25% Jew_Algeria +25% Sardinian @ 1.765
3 50% Iberian +25% Jew_Algeria +25% Swedish @ 1.793
4 50% Iberian +25% Jew_Algeria +25% Swedish_V @ 1.814
5 50% Iberian +25% Swedish_V +25% Jew_Morocco @ 1.816
6 50% Spaniard +25% Swedish +25% Jew_Libya @ 1.830
7 50% German-North +25% Jew_Algeria +25% Sardinian @ 1.873
8 50% Swedish +25% Jew_Libya +25% Sardinian @ 1.874
9 50% German-North +25% Jew_Tunisia +25% Sardinian @ 1.893
10 50% Ashkenazim_V +25% Ire8 +25% Sardinian @ 1.918

Using 4 populations approximation:
1 Ire8 + Serbian + Sephardim + Sardinian @ 0.802
2 Ire8 + Jew_France + Macedonian + Sardinian @ 0.846
3 Ire8 + Jew_Italia + Serbian + Sardinian @ 0.875
4 Ire8 + Jew_Italia + Montenegrin + Sardinian @ 0.890
5 Ire8 + Jew_Italia + Macedonian + Sardinian @ 0.952
6 Ire8 + Jew_Tunisia + German-South + Sardinian @ 0.964
7 Ire8 + Montenegrin + Jew_France + Sardinian @ 0.992
8 Ire8 + Jew_France + Serbian + Sardinian @ 1.028
9 Ire8 + Jew_Algeria + Serbian + Sardinian @ 1.137
10 Ire8 + Bosnian + Sephardim + Sardinian @ 1.199
11 Ire8 + Jew_Algeria + German-South + Sardinian @ 1.259
12 Ire8 + Montenegrin + Sephardim + Sardinian @ 1.298
13 Ire8 + Jew_France + Bulgarian + Sardinian @ 1.400
14 Ire8 + Sephardim + Macedonian + Sardinian @ 1.430
15 Ire8 + Jew_Algeria + Montenegrin + Sardinian @ 1.455
16 Ire8 + Jew_Libya + German-South + Sardinian @ 1.486
17 Ire8 + Otzi + Montenegrin + Italian-Center @ 1.506
18 Jew_Algeria + Lithuanian_V + Swiss + Sardinian @ 1.511
19 Ire8 + Otzi + Montenegrin + Italian-South @ 1.527
20 Ire8 + Jew_Libya + Corsican + Basque @ 1.528


MDLP World-22
Using 1 population approximation:
1 Portuguese @ 5.894
2 Italian_North @ 7.591
3 Provancestral @ 7.927
4 Italian-North @ 8.285
5 Iberian @ 8.715
6 Corsican @ 8.810
7 Swiss @ 8.973
8 Spaniard @ 10.334
9 Kosovar @ 12.694
10 French @ 13.144

Using 2 populations approximation:
1 50% Ashkenazim_V +50% Spaniard @ 3.986
2 50% Ashkenazim_V +50% Iberian @ 4.311
3 50% Italian_North +50% Portuguese @ 4.631
4 50% Ashkenazim_V +50% Portuguese @ 5.177
5 50% Portuguese +50% Swiss @ 5.188
6 50% Corsican +50% Swiss @ 5.231
7 50% Italian-North +50% Portuguese @ 5.279
8 50% Portuguese +50% Provancestral@ 5.358
9 50% German +50% Otzi @ 5.530
10 50% Portuguese +50% Portuguese @ 5.894

Using 3 populations approximation:
1 50% Iberian +25% Jew_Algeria +25% Swedish @ 1.986
2 50% Iberian +25% Jew_Algeria +25% Swedish_V @ 2.022
3 50% Iberian +25% Jew_Morocco +25% Norwegian_V @ 2.035
4 50% Iberian +25% Jew_Morocco +25% Swedish @ 2.122
5 50% Spaniard +25% Jew_Libya +25% Swedish @ 2.149
6 50% Iberian +25% Jew_Libya +25% Swedish @ 2.212
7 50% Iberian +25% Jew_Tunisia +25% Swedish @ 2.242
8 50% Iberian +25% Sephardim +25% Swedish_V @ 2.291
9 50% Iberian +25% Sephardim +25% Swedish @ 2.297
10 50% Iberian +25% Jew_Morocco +25% Welsh @ 2.352

Using 4 populations approximation:
1 Portuguese + Russian_North + Sardinian + Sicilian @ 1.749
2 Basque + German + Jew_Libya + Portuguese @ 1.832
3 German + Jew_Libya + Sardinian + Welsh @ 1.963
4 Iberian + Iberian + Jew_Algeria + Swedish @ 1.986
5 Iberian + Iberian + Jew_Algeria + Swedish_V @ 2.022
6 Iberian + Iberian + Jew_Morocco + Norwegian_V @ 2.035
7 Iberian + Jew_Libya + Spaniard + Swedish @ 2.046
8 Basque + German + Iberian + Jew_Libya @ 2.066
9 CEU + German + Jew_Morocco + Sardinian @ 2.070
10 Iberian + Russian_North + Sardinian + Sicilian @ 2.074
11 German + Jew_Libya + Orcadian + Sardinian @ 2.093
12 Iberian + Iberian + Jew_Morocco + Swedish @ 2.122
13 German + Jew_Morocco + Orcadian + Sardinian @ 2.125
14 Italian-South + Portuguese + Russian_North + Sardinian @ 2.138
15 Iberian + Jew_Algeria + Portuguese + Swedish @ 2.143
16 Jew_Libya + Spaniard + Spaniard + Swedish @ 2.149
17 Iberian + Jew_Morocco + Norwegian_V + Spaniard @ 2.158
18 CEU_V + Jew_Libya + Sardinian + Swedish @ 2.168
19 Hungarian + Jew_Morocco + Norwegian_V + Sardinian @ 2.175
20 Jew_Algeria + Portuguese + Spaniard + Swedish @ 2.180

Jtest 4-Ancestors Oracle
Using 1 population approximation:
1 PT @ 3.980
2 ES @ 4.976
3 FR @ 9.919
4 North_Italian @ 13.328
5 Tuscan @ 17.442
6 Cornish @ 18.873
7 West_&_Central_German @ 19.882
8 NL @ 19.927
9 English @ 20.016
10 AT @ 20.519

Using 2 populations approximation:
1 50% PT +50% PT @ 3.980
2 50% ES +50% PT @ 4.070
3 50% ES +50% ES @ 4.976
4 50% FR +50% PT @ 6.040
5 50% ES +50% FR @ 6.373
6 50% ES +50% North_Italian @ 8.224
7 50% North_Italian +50% PT @ 8.449
8 50% FR +50% North_Italian @ 9.280
9 50% ES +50% Tuscan @ 9.576
10 50% Cornish +50% PT @ 9.769

Using 3 populations approximation:
1 50% PT +25% ES +25% PT @ 3.908
2 50% PT +25% PT +25% PT @ 3.980
3 50% ES +25% PT +25% PT @ 4.070
4 50% PT +25% ES +25% ES @ 4.070
5 50% ES +25% ES +25% PT @ 4.442
6 50% PT +25% FR +25% PT @ 4.583
7 50% PT +25% ES +25% FR @ 4.613
8 50% ES +25% FR +25% PT @ 4.840
9 50% ES +25% ES +25% ES @ 4.976
10 50% ES +25% ES +25% FR @ 5.239

Using 4 populations approximation:
1 ES + PT + PT + PT @ 3.908
2 PT + PT + PT + PT @ 3.980
3 ES + ES + PT + PT @ 4.070
4 ES + ES + ES + PT @ 4.442
5 FR + PT + PT + PT @ 4.583
6 ES + FR + PT + PT @ 4.613
7 ES + ES + FR + PT @ 4.840
8 ES + ES + ES + ES @ 4.976
9 ES + ES + ES + FR @ 5.239
10 DK + French_Basque + Moroccan + Tuscan @ 5.529
11 English + French_Basque + Moroccan + PT @ 5.589
12 English + French_Basque + Moroccan + Tuscan @ 5.602
13 French_Basque + PT + PT + PT @ 5.649
14 English + ES + ES + Moroccan @ 5.662
15 Cornish + PT + PT + PT @ 5.744
16 French_Basque + Moroccan + NL + PT @ 5.758
17 DK + French_Basque + Moroccan + PT @ 5.774
18 French_Basque + Moroccan + NO + Tuscan @ 5.781
19 French_Basque + Moroccan + PT + West_&_Central_German @ 5.791
20 Cornish + ES + PT + PT @ 5.809

EUtest 4-Ancestors Oracle
Using 1 population approximation:
1 PT @ 3.806
2 ES @ 4.923
3 FR @ 10.139
4 North_Italian @ 13.580
5 Tuscan @ 17.708
6 Cornish @ 19.253
7 West_&_Central_German @ 20.293
8 NL @ 20.374
9 English @ 20.382
10 French_Basque @ 20.649

Using 2 populations approximation:
1 50% PT +50% PT @ 3.806
2 50% ES +50% PT @ 3.965
3 50% ES +50% ES @ 4.923
4 50% FR +50% PT @ 6.105
5 50% ES +50% FR @ 6.466
6 50% ES +50% North_Italian @ 8.365
7 50% North_Italian +50% PT @ 8.561
8 50% FR +50% North_Italian @ 9.539
9 50% ES +50% Tuscan @ 9.738
10 50% Cornish +50% PT @ 9.994

Using 3 populations approximation:
1 50% PT +25% ES +25% PT @ 3.767
2 50% PT +25% PT +25% PT @ 3.806
3 50% ES +25% PT +25% PT @ 3.965
4 50% PT +25% ES +25% ES @ 3.965
5 50% ES +25% ES +25% PT @ 4.366
6 50% PT +25% FR +25% PT @ 4.531
7 50% PT +25% ES +25% FR @ 4.590
8 50% ES +25% FR +25% PT @ 4.840
9 50% ES +25% ES +25% ES @ 4.923
10 50% ES +25% ES +25% FR @ 5.253

Using 4 populations approximation:
1 ES + PT + PT + PT @ 3.767
2 PT + PT + PT + PT @ 3.806
3 ES + ES + PT + PT @ 3.965
4 ES + ES + ES + PT @ 4.366
5 FR + PT + PT + PT @ 4.531
6 ES + FR + PT + PT @ 4.590
7 ES + ES + FR + PT @ 4.840
8 ES + ES + ES + ES @ 4.923
9 ES + ES + ES + FR @ 5.253
10 English + French_Basque + Moroccan + PT @ 5.275
11 English + ES + ES + Moroccan @ 5.302
12 DK + French_Basque + Moroccan + Tuscan @ 5.372
13 English + French_Basque + Moroccan + Tuscan @ 5.483
14 French_Basque + Moroccan + NL + PT @ 5.500
15 DK + French_Basque + Moroccan + PT @ 5.503
16 French_Basque + Moroccan + PT + West_&_Central_German @ 5.569
17 English + ES + FR + Moroccan @ 5.593
18 ES + FR + FR + Moroccan @ 5.600
19 English + ES + French_Basque + Moroccan @ 5.621
20 Cornish + ES + ES + Moroccan @ 5.628

Dodecad V3 4-Ancestors Oracle
Using 1 population approximation:
1 Portuguese @ 11.356
2 French @ 13.442
3 French @ 13.639
4 N_Italian @ 14.137
5 Tuscan @ 14.791
6 IBS @ 14.833
7 Spaniards @ 14.876
8 Spanish @ 15.298
9 TSI @ 15.423
10 Tuscan @ 15.578

Using 2 populations approximation:
1 50% French +50% Tuscan @ 6.052
2 50% French +50% Tuscan @ 6.197
3 50% Sardinian +50% N._European @ 6.432
4 50% French +50% Tuscan @ 6.558
5 50% French +50% TSI @ 6.654
6 50% French +50% Tuscan @ 6.758
7 50% French +50% TSI @ 7.239
8 50% Sardinian +50% Argyll @ 7.343
9 50% French +50% O_Italian @ 7.544
10 50% German +50% Sardinian @ 7.565

Using 3 populations approximation:
1 50% Portuguese +25% Morocco_Jews +25% Norwegian @ 1.563
2 50% Portuguese +25% Morocco_Jews +25% Swedish @ 1.571
3 50% IBS +25% Morocco_Jews +25% Swedish @ 2.435
4 50% Portuguese +25% Norwegian +25% Sephardic_Jews @ 2.473
5 50% Spanish +25% Morocco_Jews +25% Swedish @ 2.503
6 50% Portuguese +25% Ashkenazi +25% Swedish @ 2.528
7 50% Portuguese +25% Ashkenazi +25% Norwegian @ 2.530
8 50% Portuguese +25% Sephardic_Jews +25% Swedish @ 2.613
9 50% IBS +25% Morocco_Jews +25% Norwegian @ 2.766
10 50% Portuguese +25% Ashkenazy_Jews +25% Norwegian @ 2.800

Using 4 populations approximation:
1 Morocco_Jews + Portuguese + Spanish + Swedish @ 1.452
2 IBS + Morocco_Jews + Portuguese + Swedish @ 1.517
3 Morocco_Jews + Norwegian + Portuguese + Portuguese @ 1.563
4 Morocco_Jews + Portuguese + Portuguese + Swedish @ 1.571
5 Morocco_Jews + Portuguese + Spaniards + Swedish @ 1.708
6 IBS + Morocco_Jews + Norwegian + Portuguese @ 1.775
7 Morocco_Jews + Norwegian + Portuguese + Spanish @ 1.806
8 Morocco_Jews + Norwegian + Portuguese + Spaniards @ 2.147
9 IBS + IBS + Morocco_Jews + Swedish @ 2.435
10 IBS + Morocco_Jews + Spanish + Swedish @ 2.448
11 Norwegian + Portuguese + Portuguese + Sephardic_Jews @ 2.473
12 Morocco_Jews + Spanish + Spanish + Swedish @ 2.503
13 Ashkenazi + Portuguese + Portuguese + Swedish @ 2.528
14 Ashkenazi + Norwegian + Portuguese + Portuguese @ 2.530
15 Portuguese + Portuguese + Sephardic_Jews + Swedish @ 2.613
16 IBS + Morocco_Jews + Spaniards + Swedish @ 2.649
17 Morocco_Jews + Spaniards + Spanish + Swedish @ 2.719
18 IBS + IBS + Morocco_Jews + Norwegian @ 2.766
19 French + Morocco_Jews + Orkney + Portuguese @ 2.778
20 CEU + French + Morocco_Jews + Portuguese @ 2.792

World9 4-Ancestors Oracle
Using 1 population approximation:
1 Portuguese @ 1.111
2 Galicia @ 1.381
3 Extremadura @ 1.385
4 Andalucia @ 1.837
5 Castilla_La_Mancha @ 2.108
6 Castilla_Y_Leon @ 2.387
7 Spaniards @ 3.247
8 Baleares @ 3.295
9 Murcia @ 3.698
10 Valencia @ 4.266

Using 2 populations approximation:
1 50% Portuguese +50% Galicia @ 1.041
2 50% Portuguese +50% Extremadura @ 1.103
3 50% Canarias +50% Cataluna @ 1.105
4 50% Portuguese +50% Portuguese @ 1.111
5 50% Portuguese +50% Andalucia @ 1.186
6 50% Galicia +50% Extremadura @ 1.234
7 50% Galicia +50% Andalucia @ 1.261
8 50% Portuguese +50% Castilla_La_Mancha @ 1.334
9 50% Valencia +50% Murcia @ 1.367
10 50% Galicia +50% Galicia @ 1.381

Using 3 populations approximation:
1 50% Galicia +25% Galicia +25% Murcia @ 0.811
2 50% Galicia +25% Portuguese +25% Murcia @ 0.868
3 50% Galicia +25% Murcia +25% Extremadura @ 0.907
4 50% Galicia +25% Murcia +25% Castilla_La_Mancha @ 0.916
5 50% Galicia +25% Canarias +25% Valencia @ 0.947
6 50% Galicia +25% Murcia +25% Castilla_Y_Leon @ 0.948
7 50% Galicia +25% Spaniards +25% Canarias @ 0.959
8 50% Galicia +25% Canarias +25% Cataluna @ 0.978
9 50% Portuguese +25% Galicia +25% Andalucia @ 0.991
10 50% Galicia +25% Spanish +25% Canarias @ 1.002

Using 4 populations approximation:
1 Galicia + Galicia + Galicia + Murcia @ 0.811
2 Portuguese + Galicia + Galicia + Murcia @ 0.868
3 Galicia + Galicia + Murcia + Extremadura @ 0.907
4 Galicia + Galicia + Murcia + Castilla_La_Mancha @ 0.916
5 Portuguese + Galicia + Murcia + Castilla_La_Mancha @ 0.927
6 Galicia + Murcia + Extremadura + Castilla_Y_Leon @ 0.932
7 Galicia + Murcia + Extremadura + Castilla_La_Mancha @ 0.932
8 Canarias + Galicia + Galicia + Valencia @ 0.947
9 Galicia + Galicia + Murcia + Castilla_Y_Leon @ 0.948
10 Spaniards + Canarias + Galicia + Galicia @ 0.959
11 Portuguese + Canarias + Galicia + Cataluna @ 0.962
12 Canarias + Galicia + Galicia + Cataluna @ 0.978
13 Canarias + Galicia + Cataluna + Extremadura @ 0.986
14 Portuguese + Galicia + Murcia + Castilla_Y_Leon @ 0.990
15 Portuguese + Portuguese + Galicia + Andalucia @ 0.991
16 Spanish + Canarias + Galicia + Galicia @ 1.002
17 Canarias + Galicia + Valencia + Extremadura @ 1.006
18 Portuguese + Murcia + Extremadura + Castilla_La_Mancha @ 1.009
19 Spaniards + Canarias + Galicia + Castilla_La_Mancha @ 1.010
20 Murcia + Extremadura + Extremadura + Castilla_Y_Leon @ 1.016

Dodecad K7b 4-Ancestors Oracle
Using 1 population approximation:
1 Galicia @ 1.005
2 Andalucia @ 1.199
3 Extremadura @ 1.592
4 Castilla_Y_Leon @ 1.770
5 Portuguese @ 1.834
6 Murcia @ 1.974
7 Castilla_La_Mancha @ 2.387
8 Spanish @ 2.518
9 Baleares @ 2.563
10 Spaniards @ 3.362

Using 2 populations approximation:
1 50% Murcia +50% Spanish @ 0.715
2 50% Canarias +50% Cataluna @ 0.800
3 50% Castilla_La_Mancha +50% Murcia @ 0.860
4 50% Andalucia +50% Castilla_Y_Leon @ 0.870
5 50% Castilla_Y_Leon +50% Murcia @ 0.905
6 50% Andalucia +50% Galicia @ 0.943
7 50% Galicia +50% Galicia @ 1.005
8 50% Andalucia +50% Portuguese @ 1.038
9 50% Castilla_Y_Leon +50% Galicia @ 1.072
10 50% Castilla_Y_Leon +50% Extremadura @ 1.104

Using 3 populations approximation:
1 50% Spaniards +25% Canarias +25% Castilla_Y_Leon @ 0.458
2 50% Castilla_La_Mancha +25% Canarias +25% Spaniards @ 0.483
3 50% Valencia +25% Canarias +25% Murcia @ 0.501
4 50% Spanish +25% Baleares +25% Canarias @ 0.571
5 50% Extremadura +25% Canarias +25% Cantabria @ 0.575
6 50% Galicia +25% Canarias +25% Valencia @ 0.581
7 50% Spanish +25% Canarias +25% Spaniards @ 0.588
8 50% Spaniards +25% Canarias +25% Castilla_La_Mancha @ 0.592
9 50% Spaniards +25% Canarias +25% Spanish @ 0.621
10 50% Galicia +25% Canarias +25% Cantabria @ 0.624

Using 4 populations approximation:
1 Andalucia + Canarias + Spaniards + Valencia @ 0.354
2 Canarias + Murcia + Spaniards + Valencia @ 0.366
3 Baleares + Canarias + Spanish + Valencia @ 0.371
4 Baleares + Canarias + Cantabria + Extremadura @ 0.394
5 Baleares + Canarias + Cantabria + Galicia @ 0.401
6 Canarias + Cantabria + Murcia + Spaniards @ 0.406
7 Baleares + Canarias + Castilla_La_Mancha + Valencia @ 0.433
8 Andalucia + Canarias + Spaniards + Spanish @ 0.440
9 Andalucia + Canarias + Cantabria + Extremadura @ 0.446
10 Canarias + Galicia + Spaniards + Spanish @ 0.447
11 Canarias + Castilla_La_Mancha + Galicia + Spaniards @ 0.448
12 Canarias + Castilla_Y_Leon + Spaniards + Spaniards @ 0.458
13 Aragon + Canarias + Extremadura + Spaniards @ 0.460
14 Andalucia + Aragon + Canarias + Spaniards @ 0.465
15 Canarias + Castilla_La_Mancha + Extremadura + Valencia @ 0.467
16 Andalucia + Canarias + Spanish + Valencia @ 0.474
17 Andalucia + Canarias + Castilla_La_Mancha + Valencia @ 0.479
18 Aragon + Baleares + Canarias + Spaniards @ 0.479
19 Canarias + Castilla_La_Mancha + Castilla_La_Mancha + Spaniards @ 0.483
20 Baleares + Canarias + Castilla_Y_Leon + Valencia @ 0.486

Dodecad K12b 4-Ancestors Oracle
Using 1 population approximation:
1 Galicia @ 1.947
2 Extremadura @ 2.292
3 Portuguese @ 3.318
4 Castilla_Y_Leon @ 3.406
5 Murcia @ 4.297
6 Spanish @ 4.817
7 Baleares @ 5.069
8 Spaniards @ 5.756
9 Cataluna @ 6.156
10 Castilla_La_Mancha @ 6.542

Using 2 populations approximation:
1 50% Extremadura +50% Galicia @ 1.633
2 50% Galicia +50% Galicia @ 1.947
3 50% Castilla_Y_Leon +50% Galicia @ 2.017
4 50% Galicia +50% Portuguese @ 2.051
5 50% Extremadura +50% Extremadura @ 2.292
6 50% Castilla_Y_Leon +50% Extremadura @ 2.332
7 50% Galicia +50% Murcia @ 2.341
8 50% Extremadura +50% Portuguese @ 2.526
9 50% Galicia +50% Spanish @ 2.529
10 50% Castilla_Y_Leon +50% Portuguese @ 2.590

Using 3 populations approximation:
1 50% Galicia +25% Castilla_Y_Leon +25% Extremadura @ 1.619
2 50% Extremadura +25% Galicia +25% Galicia @ 1.633
3 50% Galicia +25% Extremadura +25% Extremadura @ 1.633
4 50% Galicia +25% Extremadura +25% Galicia @ 1.663
5 50% Galicia +25% Castilla_La_Mancha +25% Portuguese @ 1.665
6 50% Galicia +25% Extremadura +25% Murcia @ 1.721
7 50% Galicia +25% Extremadura +25% Spanish @ 1.725
8 50% Galicia +25% Canarias +25% Cataluna @ 1.729
9 50% Galicia +25% Castilla_Y_Leon +25% Portuguese @ 1.729
10 50% Galicia +25% Extremadura +25% Portuguese @ 1.732

Using 4 populations approximation:
1 Castilla_Y_Leon + Extremadura + Galicia + Galicia @ 1.619
2 Extremadura + Extremadura + Galicia + Galicia @ 1.633
3 Extremadura + Galicia + Galicia + Galicia @ 1.663
4 Castilla_La_Mancha + Galicia + Galicia + Portuguese @ 1.665
5 Extremadura + Galicia + Galicia + Murcia @ 1.721
6 Extremadura + Galicia + Galicia + Spanish @ 1.725
7 Canarias + Cataluna + Galicia + Galicia @ 1.729
8 Castilla_Y_Leon + Galicia + Galicia + Portuguese @ 1.729
9 Extremadura + Galicia + Galicia + Portuguese @ 1.732
10 Castilla_Y_Leon + Galicia + Galicia + Galicia @ 1.739
11 Castilla_Y_Leon + Extremadura + Extremadura + Galicia @ 1.773
12 Galicia + Galicia + Portuguese + Spanish @ 1.774
13 Galicia + Galicia + Galicia + Portuguese @ 1.789
14 Galicia + Galicia + Galicia + Murcia @ 1.795
15 Castilla_La_Mancha + Extremadura + Galicia + Galicia @ 1.803
16 Galicia + Galicia + Galicia + Spanish @ 1.822
17 Galicia + Galicia + Murcia + Portuguese @ 1.825
18 Castilla_La_Mancha + Extremadura + Galicia + Portuguese @ 1.838
19 Castilla_Y_Leon + Extremadura + Galicia + Portuguese @ 1.847
20 Castilla_La_Mancha + Galicia + Galicia + Galicia @ 1.863


HarappaWorld 4-Ancestors Oracle
Using 1 population approximation:
1 spaniard @ 7.087
2 spaniard @ 7.819
3 italian @ 10.411
4 french @ 12.501
5 romany @ 16.521
6 tuscan @ 18.441
7 tuscan @ 19.033
8 tuscan @ 19.615
9 romanian @ 20.743
10 utahn-white @ 22.389

Using 2 populations approximation:
1 50% italian +50% spaniard @ 5.592
2 50% italian +50% spaniard @ 5.751
3 50% romanian +50% spain-basc @ 5.817
4 50% bulgarian +50% spain-basc @ 5.874
5 50% basque +50% romanian @ 6.228
6 50% sardinian +50% ukranian @ 6.281
7 50% basque +50% bulgarian @ 6.282
8 50% french +50% italian @ 6.571
9 50% sardinian +50% slovenian @ 7.049
10 50% spaniard +50% spaniard @ 7.087

Using 3 populations approximation:
1 50% basque +25% belorussian +25% palestinian @ 3.127
2 50% orcadian +25% morocco-jew +25% sardinian @ 3.247
3 50% spaniard +25% morocco-jew +25% orcadian @ 3.275
4 50% basque +25% palestinian +25% ukranian @ 3.366
5 50% spaniard +25% romanian +25% spaniard @ 3.390
6 50% basque +25% belorussian +25% jordanian @ 3.418
7 50% basque +25% belorussian +25% samaritian @ 3.467
8 50% spaniard +25% morocco-jew +25% utahn-white @ 3.472
9 50% basque +25% egypt +25% ukranian @ 3.488
10 50% spaniard +25% british +25% morocco-jew @ 3.500

Using 4 populations approximation:
1 basque + morocco-jew + spaniard + ukranian @ 2.786
2 basque + finnish + morocco-jew + sardinian @ 3.026
3 morocco-jew + spain-basc + spaniard + ukranian @ 3.102
4 basque + morocco-jew + spaniard + ukranian @ 3.126
5 basque + basque + belorussian + palestinian @ 3.127
6 lithuanian + morocco-jew + sardinian + spain-basc @ 3.128
7 basque + morocco-jew + slovenian + spaniard @ 3.182
8 basque + belorussian + morocco-jew + spaniard @ 3.185
9 morocco-jew + n-european + spain-basc + spaniard @ 3.188
10 finnish + morocco-jew + sardinian + spain-basc @ 3.207
11 morocco-jew + n-european + spain-basc + spaniard @ 3.208
12 n-european + sephardic-jew + spain-basc + spaniard @ 3.229
13 morocco-jew + slovenian + spain-basc + spaniard @ 3.240
14 morocco-jew + orcadian + orcadian + sardinian @ 3.247
15 morocco-jew + orcadian + spaniard + spaniard @ 3.275
16 basque + morocco-jew + slovenian + spaniard @ 3.333
17 n-european + sephardic-jew + spain-basc + spaniard @ 3.341
18 morocco-jew + orcadian + sardinian + utahn-white @ 3.361
19 basque + basque + palestinian + ukranian @ 3.366
20 basque + morocco-jew + n-european + spaniard @ 3.388

Quote:

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Originally Posted by plastictuga

MDLP World
Using 4 populations approximation:
1 Ire8 + Serbian + Sephardim + Sardinian @ 0.802

---

Strange combination.

MDLP K=11 Oracle

Admix Results (sorted):

# Population Percent
1 Mediterranean 32.5
2 Caucasian 21.87
3 East_European 18.39
4 Celto_Germanic 10.86
5 Iberian 7.02
6 South_Central_Asian 3.81
7 Paleo_Balkanic 2.44
8 Uralic_Permic 1.66
9 Paleo_North_European 1.05
10 Volga_Uralic 0.41

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 70.9% GRK (Greek) + 29.1% GER (German) @ 3.44
2 72.6% CITAL (Central-Italian) + 27.4% CUKR (Central-Ukrainian) @ 3.46
3 59.3% CITAL (Central-Italian) + 40.7% BSN (Bosnian) @ 3.54
4 74% CITAL (Central-Italian) + 26% RUS (Russian) @ 3.75
5 74.6% CITAL (Central-Italian) + 25.4% SRUS (South-Russian) @ 3.79
6 71.8% CITAL (Central-Italian) + 28.2% UKR (Ukrainian) @ 3.88
7 70.7% CITAL (Central-Italian) + 29.3% WUKR (West-Ukrainian) @ 3.95
8 75.4% CITAL (Central-Italian) + 24.6% CRUS (Central-Russian) @ 3.99
9 73.5% CITAL (Central-Italian) + 26.5% EUKR (East-Ukrainian) @ 3.99
10 76.2% CITAL (Central-Italian) + 23.8% MLD (Moldovian) @ 4.02
11 76.4% CITAL (Central-Italian) + 23.6% BLR (Belarusian) @ 4.02
12 78.4% CITAL (Central-Italian) + 21.6% LTH (Lithuanian) @ 4.03
13 63.1% SIC (Sicilian) + 36.9% SLK (Slovak) @ 4.16
14 74.8% CITAL (Central-Italian) + 25.2% POL (Polish) @ 4.19
15 72.7% SIC (Sicilian) + 27.3% ETN (Estonian) @ 4.22
16 77.6% CITAL (Central-Italian) + 22.4% LTV (Latvian) @ 4.25
17 73.9% CITAL (Central-Italian) + 26.1% MRD (Erzya) @ 4.32
18 73.7% SIC (Sicilian) + 26.3% LTV (Latvian) @ 4.39
19 57.8% SIC (Sicilian) + 42.2% HNG (Hungarian) @ 4.42
20 67.6% SIC (Sicilian) + 32.4% UKR (Ukrainian) @ 4.62

MDLP World Oracle

Admix Results (sorted):

# Population Percent
1 South_and_West_European 43.65
2 North_and_East_European 21.1
3 Caucaus_Parsia 17.67
4 Middle_East 16.46
5 North_Asian 0.51
6 Mesoamerican 0.29
7 Arctic_Amerind 0.14
8 Melanesian 0.13
9 Sub_Saharian 0.05


Single Population Sharing:

# Population (source) Distance
1 Greek_North 4.05
2 Greek_South 4.58
3 Gagauz 5.28
4 Ashkenazim_V 5.35
5 Greek_Center 7.43
6 Bulgarian 7.76
7 Italian-Center 8.43
8 Greek_East 8.8
9 Italian-North 9.09
10 Jew_Romania 9.63
11 Romania 9.94
12 Macedonian 10.21
13 Italian-South 11.25
14 Montenegrin 11.53
15 Italian_North 11.82
16 Sicilian 12.55
17 Provancal 13.22
18 Corsican 13.49
19 Swiss 13.68
20 Serbian 13.89

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 78.9% Greek_East + 21.1% Belarusian_V @ 0.49
2 79.4% Greek_East + 20.6% Polish_V @ 0.52
3 78% Greek_East + 22% Sorb @ 0.57
4 84.7% Greek_Center + 15.3% Lithuanian_V @ 0.59
5 83.7% Greek_Center + 16.3% Belarusian @ 0.6
6 85.3% Greek_Center + 14.7% Lithuanian @ 0.64
7 75.4% Greek_East + 24.6% Slovakian @ 0.64
8 85.8% Greek_Center + 14.2% Latvian @ 0.64
9 72.9% Greek_East + 27.1% Croatian_V @ 0.66
10 80.1% Italian-Center + 19.9% Russian_South @ 0.67
11 80.3% Greek_East + 19.7% Polish @ 0.69
12 69.2% Montenegrin + 30.8% Cypriot @ 0.72
13 61.2% Macedonian + 38.8% Greek_Cretan @ 0.73
14 82.4% Greek_East + 17.6% Lithuanian_V @ 0.75
15 77.7% Italian-Center + 22.3% Ukrainian_V @ 0.76
16 85.7% Greek_Center + 14.3% Estonian @ 0.79
17 82.9% Greek_Center + 17.1% Polish @ 0.79
18 76.6% Greek_East + 23.4% Ukrainian-West @ 0.8
19 76.2% Greek_Center + 23.8% Croatian_V @ 0.8
20 79.5% Italian-Center + 20.5% Ukrainian-East @ 0.81