-1







| Thumbs Up/Down |
| Received: 929/62 Given: 144/2 |
LOL, at Greeks and Italians getting above 1% SSA
Gedrosia calculators in general are optimized for individuals with predominantly S Asian or W Asian Ancestry So I would not be surprised if it overestimated my E_Eurasian component :
Population :
E_Eurasian 3.44
SSA 0.42
W_Eurasian 96.14
However, I am well within the modern European normal range which is 95% W_Eurasian and above.


| Thumbs Up/Down |
| Received: 3/0 Given: 4/4 |
Why are you laughing at Greeks and Italians when you have some SSA yourself? You can use the 1 drop rule if you want to play that game and it looks like you have 42 drops LOL.
Anyways, there is virtually NO meaningful difference between 0.40 and 1.01. You'd literally be splitting hairs with 0.61%.
Besides, the average White American has some RECENT SSA in them as per 23andme's average due to the colonial nature of the country and slavery. At least the SSA if it exists, in Greeks and Italians, is ancient and not recent. You can't say the same for the average White American where admixture has only taken place in the last 500 years with Amerindians and Blacks.
"The researchers found that European-Americans had genomes that were on average 98.6 percent European, .19 percent African, and .18 Native American." - https://www.nytimes.com/2014/12/25/s...ity-study.html
All Europeans have Basal SSA in them. A few %. Nobody is free of it. This calculator measures ancient genomes I think but does it relatively poorly.
This calculator isn't meant for modern day individuals. The results are wrong and they overestimate the results of SSA for Southern Europeans. I saw someone who was only HALF Italian get 1% SSA. That doesn't make any sense given what we know about admixture in Southern Europeans.
Some Spaniards and Northern Italians get no SSA but Norweigans get 0.08? Bullshit. Norweigans OBVIOUSLY have less SSA than Spaniards, it just makes logical sense. Basques included. The calculator is fucked.
You're better off using Eurogenes.


| Thumbs Up/Down |
| Received: 3/0 Given: 4/4 |


| Thumbs Up/Down |
| Received: 6,189/417 Given: 5,246/597 |
Eurasia K3 Oracle
Admix Results (sorted):
# Population Percent
1 W_Eurasian 96.16
2 E_Eurasian 3.84
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Lithuanian @ 0.000000
2 Hungarian @ 0.274568
3 Ukrainian @ 0.624512
4 Bulgarian @ 1.114490
5 Norwegian @ 1.265331
6 Georgian @ 1.379323
7 Belarusian @ 1.546629
8 Czech @ 1.615664
9 Croatian @ 1.699715
10 Estonian @ 2.210319
11 Albanian @ 2.463235
12 French @ 2.525867
13 Armenian @ 2.617859
14 Greek @ 2.750793
15 Abkhasian @ 2.780035
16 English @ 3.032735
17 Loschbour @ 3.230254
18 Spanish @ 3.556102
19 Georgian_Jew @ 3.576594
20 Assyrian @ 3.732844
Using 2 populations approximation:
1 50% Belarusian +50% Croatian @ 0.000000
2 50% Belarusian +50% Czech @ 0.000000
3 50% Belarusian +50% Norwegian @ 0.000000
4 50% Croatian +50% Estonian @ 0.000000
5 50% Czech +50% Estonian @ 0.000000
6 50% English +50% Loschbour @ 0.000000
7 50% Estonian +50% French @ 0.000000
8 50% Hungarian +50% Lithuanian @ 0.000000
9 50% Hungarian +50% Ukrainian @ 0.000000
10 50% Lithuanian +50% Lithuanian @ 0.000000
11 50% Lithuanian +50% Ukrainian @ 0.000000
12 50% Norwegian +50% Ukrainian @ 0.000000
13 50% Hungarian +50% Hungarian @ 0.274568
14 50% Chechen +50% Stuttgart @ 0.292381
15 50% French +50% Loschbour @ 0.345741
16 50% Albanian +50% Estonian @ 0.352750
17 50% Bulgarian +50% Ukrainian @ 0.374300
18 50% English +50% Estonian @ 0.413430
19 50% Belarusian +50% French @ 0.418818
20 50% French_South +50% Loschbour @ 0.446712
Using 3 populations approximation:
1 50% Belarusian +25% Belarusian +25% Bergamo @ 0.000000
Done.


| Thumbs Up/Down |
| Received: 6,189/417 Given: 5,246/597 |


| Thumbs Up/Down |
| Received: 3/0 Given: 4/4 |


| Thumbs Up/Down |
| Received: 6,189/417 Given: 5,246/597 |






| Thumbs Up/Down |
| Received: 6,980/142 Given: 7,460/69 |
Admix Results (sorted):
# Population Percent
1 W_Eurasian 76.84
2 E_Eurasian 22.49
Finished reading population data. 129 populations found.
3 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Kalash @ 0.875063
2 Pashtun_Afghan @ 2.040473
3 Pathan @ 3.381350
4 Tajik_Pomiri @ 4.235291
5 Tajik @ 4.724764
6 Balochi @ 4.730951
7 Brahui @ 5.142282
8 Sindhi @ 8.136849
9 Makrani @ 8.595999
10 Kurd_SE @ 8.719962
11 GujaratiA @ 10.770365
12 Kshatriya @ 10.986843
13 Kashmiri_Pandit @ 12.389088
14 Uzbek_Afghan @ 12.566777
15 Tajik_Afghan @ 14.371593
16 Balkar @ 14.460731
17 Turkmen @ 14.941436
18 Turkish @ 15.081805
19 GujaratiB @ 16.217466
20 UP_Brahmin @ 16.249363
Using 2 populations approximation:
1 50% Albanian +50% Hazara_Afghan @ 0.000000
2 50% Balkar +50% Tajik_Afghan @ 0.000000
3 50% Balkar +50% Turkmen @ 0.000000
4 50% Chechen +50% Punjabi @ 0.000000
5 50% Croatian +50% UP_Muslim @ 0.000000
6 50% Czech +50% UP_Muslim @ 0.000000
7 50% Greek +50% Hazara_Afghan @ 0.000000
8 50% GujaratiB +50% Russian @ 0.000000
9 50% Kanjar +50% Norwegian @ 0.000000
10 50% Norwegian +50% UP_Muslim @ 0.000000
11 50% Stuttgart +50% UP_Caste @ 0.000000
12 50% Burusho +50% Russian @ 0.272143
13 50% Stuttgart +50% Uzbek @ 0.282693
14 50% Russian +50% UP_Brahmin @ 0.295343
15 50% Hungarian +50% Kanjar @ 0.296188
16 50% English +50% Velama @ 0.313757
17 50% GujaratiD +50% Ukrainian @ 0.315556
18 50% Finnish +50% GujaratiB @ 0.318237
19 50% Kanjar +50% Lithuanian @ 0.321884
20 50% French +50% UP_Muslim @ 0.331896
Using 3 populations approximation:
1 50% Abkhasian +25% Altaian +25% Georgian_Jew @ 0.000000


| Thumbs Up/Down |
| Received: 3/0 Given: 4/4 |


| Thumbs Up/Down |
| Received: 6,189/417 Given: 5,246/597 |
Anyway I think this calc overestimates the amount of E Eurasian euros have as usually on other calcs I get 1-2% Mong
There are currently 1 users browsing this thread. (0 members and 1 guests)
Bookmarks