What is your favorite genetic admixture calculator?

[JamesBond007]

If that's true, then I am Papuan, Puerto Rican, Chuvash, Mari, Ashkenazi, Turk, Cypriot, Jordanian, etc. I challenge you to find them in my family tree. These pie charts and admix calculations are insane. Some say Asian, some say Amerindian, some say African. It all comes and goes, both percentage changes and types of non-Europid, all in the 0-1+% range, depending on app. Eurogenes and Dodecad don't corner the market on admix analysis, you know.

LivingDNA is the only honest calculator for Brits certain continental ancestry shows up as SouthEast English this not wrong , per se, because Southeast people are the most influenced by the continent.

For example, my 25% kraut , from Alsace-Lorraine is Danube Swabian and Frankish. The Franks did invad England because people like Hugh Grant are a mix of Iron-age celt and Frankish. My Danube Swabian is related to the Swaefas Germanic tribe that founded Swaffham England. Also, LivingDNA tells me I am 100% European unlike these politically correct calculators telling me I am part nigger, Eskimo, Papuan etc.. etc..

[Nordarya]

Well, maybe it's from 200 years ago or so. How much African do you get on Dodecad World9?

Looks like a typical pied noir sample, non? If I somehow have Sephardic ancestry, I would not be surprised. I've already been told that my mtDNA haplogroup K is found mostly among Ashkenazi women.

https://www.eupedia.com/europe/Haplogroup_K_mtDNA.shtml
https://en.wikipedia.org/wiki/Haplogroup_K_(mtDNA)

Every app's Oracle+4 gives me only Mediterranean European and/or North African populations.

EthioHelix K10 + French Oracle results:

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		72.6%	french	+	27.4%	algeria	@	0.83

For EthioHelix, I may not have much in the way of Japanese, but straight up resonance with Palestinian and Egyptian. Nevertheless, Omotic seems to be the source of African DNA and this region is Abyssinian, not SSA. How I got it, I can only speculate, but due to the sheer number of Graecoroman and North African admixes, verifies that I have distant Afroasiatic, likely through the connection between Cartagena and Carthage, knowing that I do have a Gothic relationship with Spain from Aquitaine.

puntDNAL K8 African only Oracle results gives me 100% Egyptian in mixed mode with 0% every African population. Actual SSA populations are only extremely distant, beyond all of that, the nearest non-Saharan group past 80.0 @ Kenyan_Masaai (who are 62% E1b), on a test specifically designed to detect SSA. This indicates that any African DNA is from a Nile-to-Mediterranean gene flow and not as a result of the Trans-Atlantic Triangular Slave Trade. Considering the perfect Egyptian rating, I would say that this was down through the Delta and across the Mediterranean coast through the majority Semitic population and assimilated by the Persian, Greek and Roman empires, until it made its way into Europe.




Living DNA
Africa9 Oracle results:

Admix Results (sorted):

#	Population	Percent
1	Europe	68.96
2	SW_Asia	25.33
3	NW_Africa	3.23
4	E_Africa	1
5	Biaka	0.83
6	San	0.63
7	W_Africa	0.03

Single Population Sharing:

#	Population (source)	Distance
1	North_Italian	4.86
2	Tuscan	5.61
3	Morocco_Jews	25.93
4	North_African_Jews (Dodecad)	33.4
5	French_Basque	41.72
6	Druze	42.14
7	Jordanians	48.43
8	Egypt	54.94
9	Egyptans	57.52
10	Yemenese	62.37
11	North_African (Dodecad)	62.95
12	Libya	65.35
13	Bedouin	70.81
14	Algeria	71.53
15	Morocco_N	73.83
16	Yemen_Jews	74.06
17	Saudis	79.58
18	Moroccans	82.78
19	Ethiopian_Jews	84.25
20	Ethiopians	84.27

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		93.4%	North_Italian	+	6.6%	Libya	@	1.51
2		94.9%	North_Italian	+	5.1%	East_African (Dodecad)	@	1.68
3		94.9%	North_Italian	+	5.1%	Ethiopian_Jews	@	1.7
4		94.9%	North_Italian	+	5.1%	Ethiopians	@	1.73
5		92.7%	North_Italian	+	7.3%	Egyptans	@	1.74
6		92.4%	North_Italian	+	7.6%	Egypt	@	1.78
7		55.6%	North_African_Jews (Dodecad)	+	44.4%	French_Basque	@	1.97
8		53.7%	French_Basque	+	46.3%	Jordanians	@	2.01
9		62.9%	French_Basque	+	37.1%	Bedouin	@	2.11
10		93.4%	North_Italian	+	6.6%	Yemenese	@	2.13
11		85.6%	North_Italian	+	14.4%	Morocco_Jews	@	2.16
12		93.6%	North_Italian	+	6.4%	North_African (Dodecad)	@	2.3
13		94.4%	North_Italian	+	5.6%	Algeria	@	2.37
14		88.8%	North_Italian	+	11.2%	North_African_Jews (Dodecad)	@	2.43
15		95.7%	North_Italian	+	4.3%	Maasai	@	2.55
16		95.2%	North_Italian	+	4.8%	Moroccans	@	2.56
17		95.9%	North_Italian	+	4.1%	Sahara_OCC	@	2.6
18		95.5%	North_Italian	+	4.5%	Morocco_S	@	2.66
19		95.8%	North_Italian	+	4.2%	SANDAWE	@	2.67
20		94.6%	North_Italian	+	5.4%	Bedouin	@	2.68

Africa9 4-Ancestors Oracle

Admix Results (sorted):

#	Population	Percent
1	Europe	68.96
2	SW_Asia	25.33
3	NW_Africa	3.23
4	E_Africa	1.00

Finished reading population data. 54 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 North_Italian @ 4.552517
2 Tuscan @ 5.484910
3 Morocco_Jews @ 24.319345
4 North_African_Jews_Dodecad @ 31.271042
5 French_Basque @ 38.986019
6 Druze @ 39.604889
7 Jordanians @ 45.298275
8 Egypt @ 51.288792
9 Egyptans @ 53.699337
10 Yemenese @ 58.262970
11 North_African_Dodecad @ 60.512138
12 Libya @ 61.519260
13 Bedouin @ 66.209587
14 Algeria @ 68.785690
15 Yemen_Jews @ 69.442436
16 Morocco_N @ 71.738686
17 Saudis @ 74.607719
18 Moroccans @ 79.824341
19 Ethiopian_Jews @ 82.007942
20 Ethiopians @ 82.080521

Using 2 populations approximation:
1 50% North_Italian +50% Tuscan @ 3.752968


Using 3 populations approximation:
1 50% French_Basque +25% Jordanians +25% North_African_Jews_Dodecad @ 1.051237


Using 4 populations approximation:
+++++++++++++++
1 French_Basque + French_Basque + Jordanians + North_African_Jews_Dodecad @ 1.051237
2 French_Basque + Jordanians + North_Italian + North_Italian @ 2.149439
3 French_Basque + North_African_Jews_Dodecad + Tuscan + Tuscan @ 2.420192
4 Egypt + French_Basque + North_Italian + North_Italian @ 2.478917
5 French_Basque + French_Basque + Jordanians + Morocco_Jews @ 2.522790
6 Druze + French_Basque + French_Basque + North_African_Jews_Dodecad @ 2.794858
7 Egyptans + French_Basque + North_Italian + North_Italian @ 2.819581
8 French_Basque + Morocco_Jews + Morocco_Jews + North_Italian @ 2.883515
9 French_Basque + North_African_Jews_Dodecad + North_Italian + Tuscan @ 2.959404
10 French_Basque + Jordanians + North_Italian + Tuscan @ 2.975163
11 Egypt + French_Basque + North_Italian + Tuscan @ 3.059612
12 Bedouin + French_Basque + French_Basque + Morocco_Jews @ 3.183760
13 French_Basque + Morocco_Jews + Tuscan + Tuscan @ 3.208580
14 Druze + Egypt + French_Basque + French_Basque @ 3.242710
15 Druze + French_Basque + French_Basque + Jordanians @ 3.315200
16 Bedouin + French_Basque + French_Basque + Tuscan @ 3.364336
17 French_Basque + Morocco_Jews + Morocco_Jews + Tuscan @ 3.505044
18 Egyptans + French_Basque + North_Italian + Tuscan @ 3.631401
19 Morocco_Jews + North_Italian + North_Italian + North_Italian @ 3.712686
20 French_Basque + Morocco_Jews + North_African_Jews_Dodecad + North_Italian @ 3.740528

EthioHelix K10 + French Oracle results:

EthioHelix Africa + French

Admix Results (sorted):

#	Population	Percent
1	French	82.32
2	North-Africa	15.08
3	Omotic	1.79
4	Khoi-San	0.81

Single Population Sharing:

#	Population (source)	Distance
1	french	25.24
2	egypt	32.61
3	egyptans	36.33
4	libya	49.72
5	algeria	66.99
6	morocco-n	67.98
7	EtA	75.77
8	EtT	76.83
9	ethiopian-jews	77.24
10	moroccans	77.99
11	EtT-P	78.08
12	EtA-P	80.88
13	Afar	81.99
14	EtO-P	84.38
15	EtO	90.19
16	morocco-s	90.49
17	sahara-occ	93.54
18	Wolayta	93.78
19	EtS-P	94.2
20	Somali	94.72

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		72.6%	french	+	27.4%	algeria	@	0.83
2		75.6%	french	+	24.4%	moroccans	@	0.93
3		78.8%	french	+	21.2%	sahara-occ	@	0.96
4		72.9%	french	+	27.1%	morocco-n	@	1.26
5		83.2%	french	+	16.8%	mozabite	@	2.66
6		66.5%	french	+	33.5%	libya	@	3.22
7		78.5%	french	+	21.5%	morocco-s	@	5.08
8		56.7%	french	+	43.3%	egypt	@	6.41
9		59.6%	french	+	40.4%	egyptans	@	7.5
10		81.9%	french	+	18.1%	fulani	@	11.53
11		77.7%	french	+	22.3%	EtA	@	13.36
12		78.2%	french	+	21.8%	EtT	@	13.81
13		78.4%	french	+	21.6%	ethiopian-jews	@	14.04
14		81.5%	french	+	18.5%	EtO	@	15.17
15		79.2%	french	+	20.8%	EtT-P	@	15.3
16		80%	french	+	20%	EtA-P	@	15.59
17		80.7%	french	+	19.3%	EtO-P	@	15.63
18		83%	french	+	17%	hema	@	15.67
19		80.4%	french	+	19.6%	Afar	@	15.98
20		83.3%	french	+	16.7%	maasai	@	15.98

EthioHelix K10 + French 4-Ancestors Oracle


EthioHelix Africa + French

Admix Results (sorted):

#	Population	Percent
1	French	82.32
2	North-Africa	15.08
3	Omotic	1.79

Finished reading population data. 59 populations found.
10 components mode.

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

Least-squares method.

Using 1 population approximation:
1 french @ 23.313265
2 egypt @ 30.547249
3 egyptans @ 34.145733
4 libya @ 45.847324
5 algeria @ 61.960045
6 morocco-n @ 62.936989
7 EtA @ 71.802437
8 moroccans @ 72.032600
9 EtT @ 72.775017
10 ethiopian-jews @ 73.189514
11 EtT-P @ 75.475998
12 EtA-P @ 78.070213
13 Afar @ 79.331474
14 EtO-P @ 80.860649
15 morocco-s @ 83.334183
16 EtO @ 84.996460
17 sahara-occ @ 86.458824
18 EtS-P @ 90.551529
19 Wolayta @ 90.710449
20 Somali @ 91.021683

Using 2 populations approximation:
1 50% egypt +50% french @ 7.616269


Using 3 populations approximation:
1 50% french +25% french +25% moroccans @ 1.089160


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++
1 french + french + french + moroccans @ 1.089160
2 french + french + french + morocco-n @ 2.108534
3 algeria + french + french + french @ 2.139574
4 french + french + french + sahara-occ @ 4.239738
5 french + french + french + morocco-s @ 6.621908
6 french + french + french + libya @ 6.744598
7 egypt + egypt + french + french @ 7.616269
8 egypt + egyptans + french + french @ 8.585905
9 egypt + french + french + libya @ 8.719598
10 egyptans + egyptans + french + french @ 9.567039
11 egyptans + french + french + libya @ 9.704814
12 algeria + egypt + french + french @ 11.090034
13 egypt + french + french + morocco-n @ 11.182137
14 egyptans + french + french + french @ 11.258095
15 egypt + french + french + french @ 11.431512
16 french + french + libya + libya @ 11.798814
17 french + french + french + mozabite @ 11.818910
18 algeria + egyptans + french + french @ 11.880923
19 egyptans + french + french + morocco-n @ 11.939571
20 egypt + french + french + moroccans @ 13.458858
EthioHelix K10 + Japanese Oracle results:


Admix Results (sorted):

#	Population	Percent
1	North-Africa	72.69
2	Japanese	16.94
3	Omotic	6.37
4	East-Africa1	1.54
5	Biaka-Pygmy	0.98
6	West-Africa	0.87
7	Khoi-San	0.62

Single Population Sharing:

#	Population (source)	Distance
1	egypt	6.33
2	libya	8.16
3	egyptans	9.7
4	algeria	13.93
5	morocco-n	15.89
6	moroccans	16.35
7	sahara-occ	18.42
8	morocco-s	27.27
9	mozabite	28.46
10	EtA	46.86
11	EtT	46.97
12	ethiopian-jews	49.97
13	EtT-P	52.89
14	EtA-P	55.01
15	Afar	56.49
16	EtO-P	59.95
17	fulani	60.45
18	EtO	65.04
19	Somali	66.12
20	EtS-P	68.83

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		90.5%	algeria	+	9.5%	japanese	@	3.59
2		94.9%	libya	+	5.1%	japanese	@	4.24
3		89.3%	moroccans	+	10.7%	japanese	@	5.38
4		98%	egypt	+	2%	japanese	@	5.75
5		89.7%	morocco-n	+	10.3%	japanese	@	5.78
6		87.8%	egypt	+	12.2%	morocco-n	@	5.99
7		89.5%	egypt	+	10.5%	moroccans	@	6.07
8		92.5%	egypt	+	7.5%	sahara-occ	@	6.16
9		95%	egypt	+	5%	morocco-s	@	6.17
10		89.9%	egypt	+	10.1%	algeria	@	6.17
11		88.1%	sahara-occ	+	11.9%	japanese	@	6.23
12		99%	egypt	+	1%	pedi	@	6.25
13		99.1%	egypt	+	0.9%	nguni	@	6.26
14		99.1%	egypt	+	0.9%	sotho/tswana	@	6.26
15		99.1%	egypt	+	0.9%	bantusouthafrica	@	6.26
16		99.1%	egypt	+	0.9%	fang	@	6.27
17		99.3%	egypt	+	0.7%	biakapygmy	@	6.27
18		99.2%	egypt	+	0.8%	kongo	@	6.27
19		99.1%	egypt	+	0.9%	luhya	@	6.27
20		99.1%	egypt	+	0.9%	xhosa	@	6.27

EthioHelix K10 + Japanese 4-Ancestors Oracle

Admix Results (sorted):

#	Population	Percent
1	North-Africa	72.69
2	Japanese	16.94
3	Omotic	6.37
4	East-Africa1	1.54

Finished reading population data. 59 populations found.
10 components mode.

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

Least-squares method.

Using 1 population approximation:
1 egypt @ 6.603943
2 libya @ 7.372525
3 egyptans @ 9.858743
4 algeria @ 12.553159
5 moroccans @ 14.504361
6 morocco-n @ 14.643106
7 sahara-occ @ 16.298849
8 mozabite @ 25.312471
9 morocco-s @ 27.603598
10 EtA @ 47.446579
11 EtT @ 47.468666
12 ethiopian-jews @ 50.321934
13 EtT-P @ 54.112522
14 EtA-P @ 56.235081
15 Afar @ 57.627319
16 EtO-P @ 60.858891
17 fulani @ 64.002869
18 EtO @ 65.343895
19 Somali @ 67.225494
20 EtS-P @ 70.103195

Using 2 populations approximation:
1 50% egypt +50% egypt @ 6.603943


Using 3 populations approximation:
1 50% egypt +25% egypt +25% morocco-n @ 5.889019


Using 4 populations approximation:
++++++++++++++++++++++++
1 egypt + egypt + egypt + morocco-n @ 5.889019
2 egypt + egypt + egypt + moroccans @ 5.889388
3 algeria + egypt + egypt + egypt @ 6.156878
4 egypt + egypt + egyptans + morocco-n @ 6.161911
5 egypt + egypt + egypt + sahara-occ @ 6.216164
6 egypt + egypt + egyptans + moroccans @ 6.296246
7 egypt + egypt + libya + moroccans @ 6.439868
8 egypt + egypt + libya + morocco-n @ 6.450962
9 algeria + egypt + egypt + egyptans @ 6.525907
10 egypt + egypt + egypt + libya @ 6.547783
11 algeria + egypt + egypt + libya @ 6.582066
12 egypt + egypt + egypt + egypt @ 6.603943
13 egypt + egyptans + egyptans + morocco-n @ 6.639770
14 egypt + egypt + egyptans + sahara-occ @ 6.648798
15 egypt + egypt + libya + libya @ 6.661759
16 egypt + egyptans + libya + morocco-n @ 6.664136
17 egypt + egyptans + libya + moroccans @ 6.777677
18 egypt + egypt + libya + sahara-occ @ 6.794689
19 egypt + egyptans + egyptans + moroccans @ 6.884614
20 algeria + egypt + egyptans + libya @ 6.892830

EthioHelix K10 + Palestinian Oracle results:

Admix Results (sorted):

#	Population	Percent
1	Palestinian	89.37
2	Omotic	6.55
3	Biaka-Pygmy	1.65
4	Khoi-San	1.6
5	East-Africa1	0.77
6	Hadza	0.05

Single Population Sharing:

#	Population (source)	Distance
1	morocco-n	6.81
2	palestinian	8.65
3	algeria	9.59
4	moroccans	11.67
5	mozabite	11.91
6	libya	12.69
7	egypt	12.75
8	sahara-occ	13.64
9	egyptans	16.04
10	morocco-s	37.64
11	EtT	60.15
12	EtA	60.21
13	ethiopian-jews	63.48
14	EtT-P	64.64
15	EtA-P	67.82
16	Afar	70.94
17	EtO-P	74.21
18	fulani	76.29
19	Somali	82.24
20	EtO	83.69

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		60.1%	palestinian	+	39.9%	libya	@	2.6
2		92.7%	palestinian	+	7.3%	sandawe	@	2.68
3		92.2%	palestinian	+	7.8%	Wolayta	@	2.78
4		93.6%	palestinian	+	6.4%	ARI-C	@	2.78
5		88.6%	palestinian	+	11.4%	ethiopian-jews	@	2.87
6		90.1%	palestinian	+	9.9%	EtO-P	@	2.87
7		88%	palestinian	+	12%	EtT	@	2.87
8		88.1%	palestinian	+	11.9%	EtA	@	2.88
9		93.8%	palestinian	+	6.2%	ARI-B	@	2.96
10		66%	palestinian	+	34%	egyptans	@	2.99
11		91.2%	palestinian	+	8.8%	EtO	@	2.99
12		89.3%	palestinian	+	10.7%	EtA-P	@	3.04
13		89.7%	palestinian	+	10.3%	Afar	@	3.05
14		91.3%	palestinian	+	8.7%	EtS-P	@	3.08
15		91.1%	palestinian	+	8.9%	Somali	@	3.13
16		88.9%	palestinian	+	11.1%	EtT-P	@	3.16
17		60.7%	palestinian	+	39.3%	egypt	@	3.38
18		92.7%	palestinian	+	7.3%	maasai	@	4.06
19		92.8%	palestinian	+	7.2%	hema	@	4.19
20		53.3%	palestinian	+	46.7%	algeria	@	4.37

​EthioHelix K10 + Palestinian 4-Ancestors Oracle

EthioHelix K10 + Palestinian

Admix Results (sorted):

#	Population	Percent
1	Palestinian	89.37
2	Omotic	6.55
3	Biaka-Pygmy	1.65
4	Khoi-San	1.60

Finished reading population data. 59 populations found.
10 components mode.

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

Least-squares method.

Using 1 population approximation:
1 morocco-n @ 6.888328
2 palestinian @ 7.967266
3 algeria @ 9.732377
4 moroccans @ 11.878528
5 libya @ 11.901686
6 egypt @ 12.408681
7 mozabite @ 12.451018
8 sahara-occ @ 13.627141
9 egyptans @ 15.381239
10 morocco-s @ 37.350616
11 EtT @ 56.256199
12 EtA @ 56.292362
13 ethiopian-jews @ 59.258648
14 EtT-P @ 61.112518
15 EtA-P @ 63.946697
16 Afar @ 66.820557
17 EtO-P @ 69.523178
18 fulani @ 75.344711
19 Somali @ 77.316864
20 EtO @ 77.662796

Using 2 populations approximation:
1 50% libya +50% palestinian @ 3.341533


Using 3 populations approximation:
1 50% libya +25% palestinian +25% palestinian @ 3.341533


Using 4 populations approximation:
+++++++++++++++++++++++
1 egyptans + morocco-n + palestinian + palestinian @ 2.385677
2 egypt + morocco-n + palestinian + palestinian @ 2.611762
3 algeria + egypt + palestinian + palestinian @ 2.891736
4 egypt + moroccans + palestinian + palestinian @ 2.927005
5 algeria + egyptans + palestinian + palestinian @ 2.940670
6 egyptans + moroccans + palestinian + palestinian @ 2.997961
7 libya + morocco-n + palestinian + palestinian @ 3.003895
8 egypt + palestinian + palestinian + sahara-occ @ 3.164266
9 egyptans + mozabite + palestinian + palestinian @ 3.172513
10 egypt + mozabite + palestinian + palestinian @ 3.319885
11 libya + libya + palestinian + palestinian @ 3.341533
12 algeria + libya + palestinian + palestinian @ 3.355852
13 egypt + libya + palestinian + palestinian @ 3.417918
14 egyptans + palestinian + palestinian + palestinian @ 3.432015
15 egyptans + palestinian + palestinian + sahara-occ @ 3.446416
16 egypt + morocco-n + morocco-n + palestinian @ 3.516762
17 libya + moroccans + palestinian + palestinian @ 3.696555
18 egyptans + libya + palestinian + palestinian @ 3.794085
19 libya + palestinian + palestinian + palestinian @ 3.795146
20 egyptans + morocco-n + morocco-n + palestinian @ 3.922031

EthioHelix K10 Africa Only Oracle results:

Admix Results (sorted):

#	Population	Percent
1	North-Africa	63.92
2	East-Africa2	35.78
3	Biaka-Pygmy	0.29
4	East_Africa1	0.01

Single Population Sharing:

#	Population (source)	Distance
1	algeria	8.46
2	libya	8.66
3	moroccans	12.07
4	morocco-n	13.2
5	sahara-occ	16.48
6	egypt	21.34
7	egyptans	23.16
8	morocco-s	30.58
9	mozabite	47.37
10	EtA	54.8
11	EtT	55.69
12	ethiopian-jews	58.34
13	EtT-P	60.47
14	fulani	60.76
15	EtA-P	62.12
16	EtO-P	64.83
17	Afar	66.96
18	EtO	70.69
19	EtS-P	75.73
20	Wolayta	75.75

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		71.8%	algeria	+	28.2%	egypt	@	1.3
2		61.9%	morocco-n	+	38.1%	egypt	@	1.45
3		73.5%	algeria	+	26.5%	egyptans	@	1.48
4		50.6%	algeria	+	49.4%	libya	@	1.55
5		63.8%	morocco-n	+	36.2%	egyptans	@	1.81
6		60.8%	libya	+	39.2%	morocco-n	@	2
7		69.1%	egypt	+	30.9%	mozabite	@	2.41
8		85.1%	libya	+	14.9%	mozabite	@	2.45
9		67.3%	egyptans	+	32.7%	mozabite	@	3.01
10		66.8%	libya	+	33.2%	sahara-occ	@	3.2
11		59.2%	libya	+	40.8%	moroccans	@	3.24
12		64.6%	moroccans	+	35.4%	egypt	@	3.6
13		56.7%	sahara-occ	+	43.3%	egypt	@	3.81
14		66.7%	moroccans	+	33.3%	egyptans	@	3.97
15		89.2%	algeria	+	10.8%	EtT-P	@	4.28
16		58.9%	sahara-occ	+	41.1%	egyptans	@	4.3
17		90.5%	algeria	+	9.5%	Afar	@	4.68
18		89.9%	algeria	+	10.1%	EtA-P	@	4.8
19		89%	algeria	+	11%	EtT	@	4.99
20		89.5%	algeria	+	10.5%	ethiopian-jews	@	5.03

EthioHelix K10 Africa Only 4-Ancestors Oracle

Admix Results (sorted):

#	Population	Percent
1	North-Africa	63.92
2	East-Africa2	35.78

Finished reading population data. 58 populations found.
10 components mode.

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

Least-squares method.

Using 1 population approximation:
1 algeria @ 8.185528
2 libya @ 8.311040
3 moroccans @ 11.735170
4 morocco-n @ 12.707182
5 sahara-occ @ 16.037239
6 egypt @ 20.505522
7 egyptans @ 22.244207
8 morocco-s @ 31.588654
9 mozabite @ 45.655628
10 EtA @ 53.280991
11 EtT @ 54.116859
12 ethiopian-jews @ 56.639912
13 EtT-P @ 58.595165
14 EtA-P @ 60.267960
15 EtO-P @ 63.228699
16 fulani @ 64.199883
17 Afar @ 65.110695
18 EtO @ 69.446846
19 EtS-P @ 74.142464
20 Wolayta @ 74.510460

Using 2 populations approximation:
1 50% algeria +50% libya @ 1.551054


Using 3 populations approximation:
1 50% algeria +25% libya +25% libya @ 1.551054


Using 4 populations approximation:
++++++++++++++++++++
1 algeria + algeria + libya + libya @ 1.551054
2 algeria + algeria + algeria + egyptans @ 1.607384
3 algeria + algeria + algeria + egypt @ 1.670053
4 egypt + libya + morocco-n + morocco-n @ 1.774177
5 algeria + libya + libya + morocco-n @ 1.987920
6 algeria + algeria + egyptans + morocco-n @ 2.100384
7 egyptans + libya + morocco-n + morocco-n @ 2.193491
8 algeria + algeria + egypt + morocco-n @ 2.351899
9 algeria + egypt + libya + morocco-n @ 2.373484
10 egypt + egypt + libya + mozabite @ 2.442887
11 egypt + libya + morocco-n + sahara-occ @ 2.445228
12 algeria + libya + libya + moroccans @ 2.551285
13 algeria + algeria + egyptans + moroccans @ 2.600399
14 egypt + libya + moroccans + morocco-n @ 2.626700
15 algeria + algeria + egypt + moroccans @ 2.656840
16 egyptans + libya + morocco-n + sahara-occ @ 2.753891
17 egypt + egyptans + libya + mozabite @ 2.793604
18 algeria + egypt + libya + sahara-occ @ 2.816532
19 algeria + egyptans + libya + morocco-n @ 2.850482
20 libya + libya + morocco-n + morocco-n @ 2.965848

puntDNAL K8 African only Oracle results:

Admix Results (sorted):

#	Population	Percent
1	Western_Semitic	89.63
2	Omotic	6.14
3	E_Benue_Congo	1.8
4	Southern_HG	1.12
5	W_Benue_Congo	1.03
6	Nilo_Saharan	0.29

Single Population Sharing:

#	Population (source)	Distance
1	Egyptian	4.31
2	N_Moroccan	7.96
3	Tunisian	8.78
4	Libyan	11.51
5	Algerian	13.1
6	Mozabite	13.27
7	S_Moroccan	24.58
8	Ethiopian_Tygray	46.24
9	Ethiopian_Afar	50.29
10	Ethiopian_Amhara	50.5
11	Ethiopian_Oromo	56.81
12	Somali	57.96
13	Nigeria_Fulani	70.74
14	Ethiopian_Wolayta	71.63
15	Kenyan_Maasai	82.66
16	Tanzania_Sandawe	86.31
17	DRC_Hema	90.6
18	Ethiopian_AriCultivator	96.23
19	Chad_Bulala	102.3
20	Kenyan_Bantu	103.23

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		100%	Egyptian	+	0%	SA_Kung	@	4.31
2		100%	Egyptian	+	0%	Ethiopian_Afar	@	4.31
3		100%	Egyptian	+	0%	Algerian	@	4.31
4		100%	Egyptian	+	0%	Alur	@	4.31
5		100%	Egyptian	+	0%	Souh_Sudan_Anuak	@	4.31
6		100%	Egyptian	+	0%	Ethiopian_AriBlacksmith	@	4.31
7		100%	Egyptian	+	0%	Ethiopian_AriCultivator	@	4.31
8		100%	Egyptian	+	0%	Mali_Bambaran	@	4.31
9		100%	Egyptian	+	0%	Cameroon_Bamoun	@	4.31
10		100%	Egyptian	+	0%	Ghana_Brong	@	4.31
11		100%	Egyptian	+	0%	Chad_Bulala	@	4.31
12		100%	Egyptian	+	0%	Mali_Dogon	@	4.31
13		100%	Egyptian	+	0%	Ethiopian_Amhara	@	4.31
14		100%	Egyptian	+	0%	Ethiopian_Gumuz	@	4.31
15		100%	Egyptian	+	0%	Ethiopian_Oromo	@	4.31
16		100%	Egyptian	+	0%	Ethiopian_Tygray	@	4.31
17		100%	Egyptian	+	0%	Ethiopian_Wolayta	@	4.31
18		100%	Egyptian	+	0%	Cameroon_Fang	@	4.31
19		100%	Egyptian	+	0%	Nigeria_Fulani	@	4.31
20		100%	Egyptian	+	0%	Tanzania_Hadza	@	4.31

puntDNAL K8 African only 4-Ancestors Oracle

puntDNAL K8b Oracle

Admix Results (sorted):

#	Population	Percent
1	Western_Semitic	89.63
2	Omotic	6.14
3	E_Benue_Congo	1.80
4	Southern_HG	1.12
5	W_Benue_Congo	1.03

Finished reading population data. 48 populations found.
8 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Egyptian @ 4.162550
2 N_Moroccan @ 7.726441
3 Tunisian @ 8.579495
4 Libyan @ 11.080531
5 Algerian @ 12.648068
6 Mozabite @ 12.976057
7 S_Moroccan @ 25.167603
8 Ethiopian_Tygray @ 44.663219
9 Ethiopian_Amhara @ 48.878307
10 Ethiopian_Afar @ 48.898129
11 Ethiopian_Oromo @ 55.076260
12 Somali @ 56.790161
13 Ethiopian_Wolayta @ 68.042877
14 Nigeria_Fulani @ 70.356873
15 Kenyan_Maasai @ 81.899704
16 Tanzania_Sandawe @ 82.985245
17 DRC_Hema @ 88.604904
18 Ethiopian_AriCultivator @ 90.278328
19 Chad_Bulala @ 100.080063
20 Kenyan_Bantu @ 100.367744

Using 2 populations approximation:
1 50% Egyptian +50% Egyptian @ 4.162550


Using 3 populations approximation:
1 50% Egyptian +25% Egyptian +25% Egyptian @ 4.162550


Using 4 populations approximation:
++++++++++++++
1 Egyptian + Egyptian + Egyptian + Egyptian @ 4.162550
2 Egyptian + Egyptian + Egyptian + N_Moroccan @ 4.861819
3 Egyptian + Egyptian + Egyptian + Tunisian @ 4.883037
4 Egyptian + Egyptian + Egyptian + Libyan @ 5.624647
5 Egyptian + Egyptian + N_Moroccan + N_Moroccan @ 5.725599
6 Algerian + Egyptian + Egyptian + Egyptian @ 5.806611
7 Egyptian + Egyptian + N_Moroccan + Tunisian @ 5.811239
8 Egyptian + Egyptian + Tunisian + Tunisian @ 5.947222
9 Egyptian + Egyptian + Egyptian + Mozabite @ 5.977995
10 Egyptian + Egyptian + Libyan + N_Moroccan @ 6.514453
11 Egyptian + Egyptian + Libyan + Tunisian @ 6.607727
12 Egyptian + N_Moroccan + N_Moroccan + N_Moroccan @ 6.693481
13 Algerian + Egyptian + Egyptian + N_Moroccan @ 6.772143
14 Egyptian + N_Moroccan + N_Moroccan + Tunisian @ 6.824364
15 Algerian + Egyptian + Egyptian + Tunisian @ 6.875797
16 Egyptian + Egyptian + Mozabite + N_Moroccan @ 6.909713
17 Egyptian + N_Moroccan + Tunisian + Tunisian @ 6.996581
18 Egyptian + Egyptian + Mozabite + Tunisian @ 7.032844
19 Egyptian + Tunisian + Tunisian + Tunisian @ 7.207258
20 Egyptian + Egyptian + Libyan + Libyan @ 7.345383

[Nordarya]

Here is a little secret not many people know : MDLP is optimized for Lithuanians and perhaps other Baltic people.

Maybe Eurogenes is set with a Polish standard. Which Gedmatch isn't biased?

LivingDNA is the only honest calculator for Brits certain continental ancestry shows up as SouthEast English this not wrong , per se, because Southeast people are the most influenced by the continent.

For example, my 25% kraut , from Alsace-Lorraine is Danube Swabian and Frankish. The Franks did invad England because people like Hugh Grant are a mix of Iron-age celt and Frankish. My Danube Swabian is related to the Swaefas Germanic tribe that founded Swaffham England. Also, LivingDNA tells me I am 100% European unlike these politically correct calculators telling me I am part nigger, Eskimo, Papuan etc.. etc..

Ancestry DNA gave me British Isles and Norway. Living DNA had me British Isles @ 92.2%, Aegean @ 7.6% and Pashtun @ 1.2%.

[JamesBond007]

Maybe Eurogenes is set with a Polish standard. Which Gedmatch isn't biased?

Definitely, for instance K15 has a Baltic category that could be inflated for certain Western Demographics and Dodecad (sp ?) is greco-roman biased.

Ancestry DNA gave me British Isles and Norway. Living DNA had me British Isles @ 92.2%, Aegean @ 7.6% and Pashtun @ 1.2%.

AncestryDNA says I am mostly Irish and Scottish with English and small amounts of German and Scandinavian and tells me I am 1% nigger which is all bullshit because they do not differentiate between the Irish and Scots and the Scandinavian is from the Scottish etc...

LivingDNA says I am Irish, Scottish, English and NorthCumbrian which sounds way more reasonable. Not only does my small amount of continental ancestry shows up as English but I actually have an ancestor from London .

[Nordarya]

AncestryDNA says I am mostly Irish and Scottish with English and small amounts of German and Scandinavian and tells me I am 1% nigger which is all bullshit because they do not differentiate between the Irish and Scots and the Scandinavian is from the Scottish etc...

LivingDNA says I am Irish, Scottish, English and NorthCumbrian which sounds way more reasonable. Not only does my small amount of continental ancestry shows up as English but I actually have an ancestor from London .

Living DNA has been forced to cut down on their African percentages, which I believe were inflated by cross-pollination with European ancestry in African-Americans, so they were reading African ancestry in Europeans, when it's actually Africans with European ancestry shifting the calculator off-kilter.

It may be possible that I've been poking far too much fun at Albanians, but while Gedrosia K3 also makes me 0.00 distance from French, Gedrosia K12 makes my top two Norwegian and Greek. Ancient Eurasia K6 makes Hungarian and French my top hits. So yeah, I'd say Living DNA has got me right with Aegean, probably connecting Albanian-Hungarian-Greek, which is all loosely Balkan-oriented, with French and Norwegian making the majority of my DNA.

Gedrosia K3 4-Ancestors Oracle

Eurasia K3 Oracle

Admix Results (sorted):

#	Population	Percent
1	W_Eurasian	97.53
2	E_Eurasian	2.06

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

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

Least-squares method.

Using 1 population approximation:
1 French @ 0.000000
2 Albanian @ 0.296999
3 Croatian @ 0.617447
4 Czech @ 0.720982
5 Greek @ 0.845519
6 English @ 0.870279
7 Norwegian @ 1.070001
8 French_South @ 1.526260
9 Bulgarian @ 1.535918
10 Bergamo @ 1.805136
11 Hungarian @ 1.934600
12 Spanish @ 2.017633
13 Lithuanian @ 2.080873
14 Sardinian @ 2.536421
15 LBK_EN @ 2.558893
16 Georgian @ 2.632359
17 Ukrainian @ 2.881934
18 Stuttgart @ 3.242123
19 Armenian @ 3.257833
20 Sicilian @ 3.519022

Using 2 populations approximation:
1 50% Albanian +50% Croatian @ 0.000000
2 50% Albanian +50% Czech @ 0.000000
3 50% Albanian +50% French @ 0.000000
4 50% Bergamo +50% Bulgarian @ 0.000000
5 50% Bergamo +50% Hungarian @ 0.000000
6 50% Bergamo +50% Lithuanian @ 0.000000
7 50% Bulgarian +50% English @ 0.000000
8 50% Bulgarian +50% French_South @ 0.000000
9 50% Croatian +50% French @ 0.000000
10 50% Croatian +50% Greek @ 0.000000
11 50% Czech +50% French @ 0.000000
12 50% Czech +50% Greek @ 0.000000
13 50% French +50% French @ 0.000000
14 50% French_South +50% Hungarian @ 0.000000
15 50% French_South +50% Lithuanian @ 0.000000
16 50% French_South +50% Norwegian @ 0.000000
17 50% LBK_EN +50% Lithuanian @ 0.000000
18 50% Lithuanian +50% Sardinian @ 0.000000
19 50% LBK_EN +50% Ukrainian @ 0.256065
20 50% Hungarian +50% LBK_EN @ 0.279932


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

Gedrosia K12 Oracle results:

Admix Results (sorted):

#	Population	Percent
1	EARLY_EUROPEAN_FARMERS	37.9
2	SINTASHTA_STEPPE_HERDERS	36.49
3	CAUCASUS	12.87
4	SW_ASIAN	6.49
5	BALOCHI	3.99
6	INDO_TIBETAN	1.08
7	SUB_SAHARAN	0.79
8	E_SIBERIAN	0.42

Single Population Sharing:

#	Population (source)	Distance
1	Norwegian	16.82
2	Greek	20.69
3	Sicilian	26.73
4	Russian	28.15
5	Finnish	32
6	Estonian	33.62
7	Turks_Istanbul	34.36
8	Lithuanian	34.95
9	Turks_Aydin	38.3
10	Turks_Balikesir	38.61
11	Kurds_C	42.77
12	Kurds_N	43
13	Tajik_Pomiri	43.42
14	Turkmen_Afghan	43.61
15	Turks_Adana	43.62
16	Turks_Kayseri	44.43
17	Iraqi_Chaldeans	44.68
18	Uzbek	44.75
19	Iraqi_Arab_Baghdad	44.87
20	Kurds_F	45.09

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		61.6%	Norwegian	+	38.4%	Sicilian	@	2.63
2		55.4%	Norwegian	+	44.6%	Greek	@	3.64
3		56%	Sicilian	+	44%	Estonian	@	6.17
4		57%	Sicilian	+	43%	Lithuanian	@	6.32
5		62.6%	Greek	+	37.4%	Estonian	@	6.33
6		74.6%	Norwegian	+	25.4%	Iraqi_Jew	@	6.4
7		63.6%	Greek	+	36.4%	Lithuanian	@	6.56
8		73.7%	Norwegian	+	26.3%	Turks_Adana	@	6.85
9		68.7%	Norwegian	+	31.3%	Turks_Istanbul	@	6.95
10		75.4%	Norwegian	+	24.6%	Iraqi_Mandaeans	@	6.96
11		74.3%	Norwegian	+	25.7%	Iraqi_Chaldeans	@	6.98
12		74.2%	Norwegian	+	25.8%	Turks_Kayseri	@	7
13		76.4%	Norwegian	+	23.6%	Assyrian	@	7.09
14		76%	Norwegian	+	24%	Armenian	@	7.12
15		61.7%	Greek	+	38.3%	Finnish	@	7.3
16		54.8%	Sicilian	+	45.2%	Finnish	@	7.36
17		74.6%	Norwegian	+	25.4%	Iraqi_Arab_Baghdad	@	7.55
18		76.7%	Norwegian	+	23.3%	Jordanian	@	7.55
19		71.5%	Norwegian	+	28.5%	Turks_Aydin	@	7.68
20		77.2%	Norwegian	+	22.8%	Syrian	@	7.94

Gedrosia K12 4-Ancestors Oracle

Gedrosia K12 Oracle

Admix Results (sorted):

#	Population	Percent
1	EARLY_EUROPEAN_FARMERS	37.89
2	SINTASHTA_STEPPE_HERDERS	36.49
3	CAUCASUS	12.87
4	SW_ASIAN	6.48
5	BALOCHI	3.99
6	INDO_TIBETAN	1.08

Finished reading population data. 87 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Norwegian @ 17.976423
2 Greek @ 22.409592
3 Sicilian @ 28.741140
4 Russian @ 29.901581
5 Finnish @ 34.044144
6 Estonian @ 35.914646
7 Turks_Istanbul @ 37.147942
8 Lithuanian @ 37.301311
9 Turks_Aydin @ 41.102245
10 Turks_Balikesir @ 41.621426
11 Turkmen_Afghan @ 45.635784
12 Uzbek @ 46.241570
13 Kurds_C @ 46.410824
14 Kurds_N @ 46.641003
15 Turks_Adana @ 47.053009
16 Tajik_Pomiri @ 47.541668
17 Turks_Kayseri @ 48.013206
18 Iraqi_Chaldeans @ 48.315075
19 Iraqi_Arab_Baghdad @ 48.488258
20 Kurds_F @ 48.840389

Using 2 populations approximation:
1 50% Greek +50% Norwegian @ 4.556041


Using 3 populations approximation:
1 50% Lithuanian +25% Stuttgart +25% Turks_Kayseri @ 3.202945


Using 4 populations approximation:
++++++++++++++++++++++++++++++++
1 Armenian + BA_Sintashta + Norwegian + Sardinian @ 2.871755
2 Armenian + Corded_Ware_LN + Norwegian + Sardinian @ 2.871755
3 Lithuanian + Lithuanian + Stuttgart + Turks_Kayseri @ 3.202945
4 Assyrian + BA_Sintashta + Norwegian + Sardinian @ 3.214975
5 Assyrian + Corded_Ware_LN + Norwegian + Sardinian @ 3.214975
6 Lithuanian + Russian + Stuttgart + Turks_Istanbul @ 3.271981
7 Estonian + Lithuanian + Stuttgart + Turks_Kayseri @ 3.378764
8 Kurds_N + Lithuanian + Lithuanian + Stuttgart @ 3.539606
9 Armenian + Lithuanian + Lithuanian + Stuttgart @ 3.546402
10 Estonian + Lithuanian + Stuttgart + Turks_Istanbul @ 3.586907
11 Estonian + Russian + Stuttgart + Turks_Istanbul @ 3.598495
12 Lithuanian + Lithuanian + Stuttgart + Turks_Istanbul @ 3.598810
13 Estonian + Kurds_N + Lithuanian + Stuttgart @ 3.612337
14 Estonian + Estonian + Stuttgart + Turks_Kayseri @ 3.613381
15 Estonian + Estonian + Stuttgart + Turks_Istanbul @ 3.641927
16 Armenian + Estonian + Lithuanian + Stuttgart @ 3.683021
17 Finnish + Lithuanian + Stuttgart + Turks_Istanbul @ 3.730208
18 Estonian + Estonian + Kurds_N + Stuttgart @ 3.752987
19 Lithuanian + Lithuanian + Stuttgart + Turks_Adana @ 3.774547
20 BA_Sintashta + Norwegian + Sardinian + Turks_Kayseri @ 3.855678

Ancient Eurasia K6 Oracle results:

Admix Results (sorted):

#	Population	Percent
1	West_European_Hunter_Gartherer	43.43
2	Natufian	37.38
3	Ancestral_North_Eurasian	18.46
4	Ancestral_South_Eurasian	0.55
5	Sub_Saharan	0.19

Single Population Sharing:

#	Population (source)	Distance
1	Hungarian	1.81
2	French	2.33
3	English	2.8
4	Czech	2.9
5	Croatian	3.05
6	Scottish	4.05
7	Ukrainian	4.58
8	Norwegian	4.85
9	Icelandic	6.53
10	Romanian	7.05
11	Spanish	7.09
12	Europe_LNBA	7.64
13	Bulgarian	8.89
14	Basque	9.6
15	Estonian	10.17
16	Lithuanian	10.73
17	Russian	12.77
18	Finnish	13.43
19	Steppe_MLBA	13.54
20	Albanian	13.58

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		97.1%	French	+	2.9%	EHG	@	0.35
2		97.8%	French	+	2.2%	AG2	@	0.41
3		97.8%	French	+	2.2%	AG3	@	0.41
4		97.8%	French	+	2.2%	MA1	@	0.41
5		92.9%	French	+	7.1%	Steppe_EMBA	@	0.49
6		84.6%	English	+	15.4%	Greek	@	0.51
7		91.7%	English	+	8.3%	Cypriot	@	0.52
8		87.7%	English	+	12.3%	Italian_South	@	0.53
9		92.5%	English	+	7.5%	Druze	@	0.56
10		52.3%	English	+	47.7%	Croatian	@	0.62
11		83.3%	English	+	16.7%	Albanian	@	0.64
12		87%	English	+	13%	Sicilian	@	0.64
13		93.4%	English	+	6.6%	Jew_Iranian	@	0.68
14		91.3%	Europe_LNBA	+	8.7%	Levant_N	@	0.68
15		91.3%	Europe_LNBA	+	8.7%	Natufian	@	0.68
16		76.6%	English	+	23.4%	Bulgarian	@	0.69
17		67.6%	Icelandic	+	32.4%	Albanian	@	0.7
18		93.4%	English	+	6.6%	Jew_iraqi	@	0.7
19		93.6%	English	+	6.4%	Levant_BA	@	0.71
20		68.6%	Croatian	+	31.4%	Icelandic	@	0.72

Ancient Eurasia K6 4-Ancestors Oracle

gedrosia K6 Oracle

Admix Results (sorted):

#	Population	Percent
1	West_European_Hunter_Gartherer	43.43
2	Natufian	37.38
3	Ancestral_North_Eurasian	18.46

Finished reading population data. 136 populations found.
6 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 1.862990
2 French @ 2.299802
3 English @ 2.798044
4 Czech @ 2.869628
5 Croatian @ 3.080137
6 Scottish @ 4.008484
7 Ukrainian @ 4.512488
8 Norwegian @ 4.773424
9 Icelandic @ 6.500184
10 Spanish @ 6.935360
11 Romanian @ 7.104067
12 Europe_LNBA @ 7.545347
13 Bulgarian @ 8.975857
14 Basque @ 9.558382
15 Estonian @ 10.051054
16 Lithuanian @ 10.666956
17 Russian @ 12.751076
18 Steppe_MLBA @ 13.234116
19 Finnish @ 13.356215
20 Albanian @ 13.582247

Using 2 populations approximation:
1 50% Croatian +50% English @ 0.614564


Using 3 populations approximation:
1 50% Croatian +25% English +25% English @ 0.614564


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++
1 Albanian + Europe_LNBA + French + Icelandic @ 0.474825
2 Albanian + French + Icelandic + Icelandic @ 0.597442
3 Albanian + English + English + Icelandic @ 0.598931
4 Croatian + Croatian + English + English @ 0.614564
5 Albanian + English + English + Europe_LNBA @ 0.630615
6 Albanian + English + Icelandic + Scottish @ 0.633699
7 Georgian + Greek + Hungarian_KO1 + Italian_South @ 0.677390
8 Georgian + Greek + Italian_South + WHG @ 0.677390
9 English + Greek + Icelandic + Icelandic @ 0.694817
10 Albanian + English + Icelandic + Norwegian @ 0.709343
11 Albanian + Europe_LNBA + Europe_LNBA + French @ 0.715769
12 Bulgarian + English + English + English @ 0.719751
13 Croatian + Croatian + Czech + English @ 0.721756
14 Croatian + Croatian + Europe_LNBA + French @ 0.726560
15 Croatian + Croatian + French + Icelandic @ 0.730708
16 Bulgarian + English + French + Icelandic @ 0.739828
17 Europe_LNBA + French + Greek + Icelandic @ 0.742598
18 English + French + Norwegian + Romanian @ 0.748657
19 French + Greek + Icelandic + Icelandic @ 0.751306
20 Albanian + English + Icelandic + Icelandic @ 0.771199

[JamesBond007]

Maybe Eurogenes is set with a Polish standard. Which Gedmatch isn't biased?

Ancestry DNA gave me British Isles and Norway. Living DNA had me British Isles @ 92.2%, Aegean @ 7.6% and Pashtun @ 1.2%.

Ancestrydna seems to love telling people they are Irish and scandinavian.

BTW, I edited my above post before this one it was a clusterfuck.

[JamesBond007]

Living DNA has been forced to cut down on their African percentages, which I believe were inflated by cross-pollination with European ancestry in African-Americans, so they were reading African ancestry in Europeans, when it's actually Africans with European ancestry shifting the calculator off-kilter.

It may be possible that I've been poking far too much fun at Albanians, but while Gedrosia K3 also makes me 0.00 distance from French, Gedrosia K12 makes my top two Norwegian and Greek. Ancient Eurasia K6 makes Hungarian and French my top hits. So yeah, I'd say Living DNA has got me right with Aegean, probably connecting Albanian-Hungarian-Greek, which is all loosely Balkan-oriented, with French and Norwegian making the majority of my DNA.

Gedrosia K3 4-Ancestors Oracle

Eurasia K3 Oracle

Admix Results (sorted):

#	Population	Percent
1	W_Eurasian	97.53
2	E_Eurasian	2.06

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

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

Least-squares method.

Using 1 population approximation:
1 French @ 0.000000
2 Albanian @ 0.296999
3 Croatian @ 0.617447
4 Czech @ 0.720982
5 Greek @ 0.845519
6 English @ 0.870279
7 Norwegian @ 1.070001
8 French_South @ 1.526260
9 Bulgarian @ 1.535918
10 Bergamo @ 1.805136
11 Hungarian @ 1.934600
12 Spanish @ 2.017633
13 Lithuanian @ 2.080873
14 Sardinian @ 2.536421
15 LBK_EN @ 2.558893
16 Georgian @ 2.632359
17 Ukrainian @ 2.881934
18 Stuttgart @ 3.242123
19 Armenian @ 3.257833
20 Sicilian @ 3.519022

Using 2 populations approximation:
1 50% Albanian +50% Croatian @ 0.000000
2 50% Albanian +50% Czech @ 0.000000
3 50% Albanian +50% French @ 0.000000
4 50% Bergamo +50% Bulgarian @ 0.000000
5 50% Bergamo +50% Hungarian @ 0.000000
6 50% Bergamo +50% Lithuanian @ 0.000000
7 50% Bulgarian +50% English @ 0.000000
8 50% Bulgarian +50% French_South @ 0.000000
9 50% Croatian +50% French @ 0.000000
10 50% Croatian +50% Greek @ 0.000000
11 50% Czech +50% French @ 0.000000
12 50% Czech +50% Greek @ 0.000000
13 50% French +50% French @ 0.000000
14 50% French_South +50% Hungarian @ 0.000000
15 50% French_South +50% Lithuanian @ 0.000000
16 50% French_South +50% Norwegian @ 0.000000
17 50% LBK_EN +50% Lithuanian @ 0.000000
18 50% Lithuanian +50% Sardinian @ 0.000000
19 50% LBK_EN +50% Ukrainian @ 0.256065
20 50% Hungarian +50% LBK_EN @ 0.279932


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

Gedrosia K12 Oracle results:

Admix Results (sorted):

#	Population	Percent
1	EARLY_EUROPEAN_FARMERS	37.9
2	SINTASHTA_STEPPE_HERDERS	36.49
3	CAUCASUS	12.87
4	SW_ASIAN	6.49
5	BALOCHI	3.99
6	INDO_TIBETAN	1.08
7	SUB_SAHARAN	0.79
8	E_SIBERIAN	0.42

Single Population Sharing:

#	Population (source)	Distance
1	Norwegian	16.82
2	Greek	20.69
3	Sicilian	26.73
4	Russian	28.15
5	Finnish	32
6	Estonian	33.62
7	Turks_Istanbul	34.36
8	Lithuanian	34.95
9	Turks_Aydin	38.3
10	Turks_Balikesir	38.61
11	Kurds_C	42.77
12	Kurds_N	43
13	Tajik_Pomiri	43.42
14	Turkmen_Afghan	43.61
15	Turks_Adana	43.62
16	Turks_Kayseri	44.43
17	Iraqi_Chaldeans	44.68
18	Uzbek	44.75
19	Iraqi_Arab_Baghdad	44.87
20	Kurds_F	45.09

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		61.6%	Norwegian	+	38.4%	Sicilian	@	2.63
2		55.4%	Norwegian	+	44.6%	Greek	@	3.64
3		56%	Sicilian	+	44%	Estonian	@	6.17
4		57%	Sicilian	+	43%	Lithuanian	@	6.32
5		62.6%	Greek	+	37.4%	Estonian	@	6.33
6		74.6%	Norwegian	+	25.4%	Iraqi_Jew	@	6.4
7		63.6%	Greek	+	36.4%	Lithuanian	@	6.56
8		73.7%	Norwegian	+	26.3%	Turks_Adana	@	6.85
9		68.7%	Norwegian	+	31.3%	Turks_Istanbul	@	6.95
10		75.4%	Norwegian	+	24.6%	Iraqi_Mandaeans	@	6.96
11		74.3%	Norwegian	+	25.7%	Iraqi_Chaldeans	@	6.98
12		74.2%	Norwegian	+	25.8%	Turks_Kayseri	@	7
13		76.4%	Norwegian	+	23.6%	Assyrian	@	7.09
14		76%	Norwegian	+	24%	Armenian	@	7.12
15		61.7%	Greek	+	38.3%	Finnish	@	7.3
16		54.8%	Sicilian	+	45.2%	Finnish	@	7.36
17		74.6%	Norwegian	+	25.4%	Iraqi_Arab_Baghdad	@	7.55
18		76.7%	Norwegian	+	23.3%	Jordanian	@	7.55
19		71.5%	Norwegian	+	28.5%	Turks_Aydin	@	7.68
20		77.2%	Norwegian	+	22.8%	Syrian	@	7.94

Gedrosia K12 4-Ancestors Oracle

Gedrosia K12 Oracle

Admix Results (sorted):

#	Population	Percent
1	EARLY_EUROPEAN_FARMERS	37.89
2	SINTASHTA_STEPPE_HERDERS	36.49
3	CAUCASUS	12.87
4	SW_ASIAN	6.48
5	BALOCHI	3.99
6	INDO_TIBETAN	1.08

Finished reading population data. 87 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Norwegian @ 17.976423
2 Greek @ 22.409592
3 Sicilian @ 28.741140
4 Russian @ 29.901581
5 Finnish @ 34.044144
6 Estonian @ 35.914646
7 Turks_Istanbul @ 37.147942
8 Lithuanian @ 37.301311
9 Turks_Aydin @ 41.102245
10 Turks_Balikesir @ 41.621426
11 Turkmen_Afghan @ 45.635784
12 Uzbek @ 46.241570
13 Kurds_C @ 46.410824
14 Kurds_N @ 46.641003
15 Turks_Adana @ 47.053009
16 Tajik_Pomiri @ 47.541668
17 Turks_Kayseri @ 48.013206
18 Iraqi_Chaldeans @ 48.315075
19 Iraqi_Arab_Baghdad @ 48.488258
20 Kurds_F @ 48.840389

Using 2 populations approximation:
1 50% Greek +50% Norwegian @ 4.556041


Using 3 populations approximation:
1 50% Lithuanian +25% Stuttgart +25% Turks_Kayseri @ 3.202945


Using 4 populations approximation:
++++++++++++++++++++++++++++++++
1 Armenian + BA_Sintashta + Norwegian + Sardinian @ 2.871755
2 Armenian + Corded_Ware_LN + Norwegian + Sardinian @ 2.871755
3 Lithuanian + Lithuanian + Stuttgart + Turks_Kayseri @ 3.202945
4 Assyrian + BA_Sintashta + Norwegian + Sardinian @ 3.214975
5 Assyrian + Corded_Ware_LN + Norwegian + Sardinian @ 3.214975
6 Lithuanian + Russian + Stuttgart + Turks_Istanbul @ 3.271981
7 Estonian + Lithuanian + Stuttgart + Turks_Kayseri @ 3.378764
8 Kurds_N + Lithuanian + Lithuanian + Stuttgart @ 3.539606
9 Armenian + Lithuanian + Lithuanian + Stuttgart @ 3.546402
10 Estonian + Lithuanian + Stuttgart + Turks_Istanbul @ 3.586907
11 Estonian + Russian + Stuttgart + Turks_Istanbul @ 3.598495
12 Lithuanian + Lithuanian + Stuttgart + Turks_Istanbul @ 3.598810
13 Estonian + Kurds_N + Lithuanian + Stuttgart @ 3.612337
14 Estonian + Estonian + Stuttgart + Turks_Kayseri @ 3.613381
15 Estonian + Estonian + Stuttgart + Turks_Istanbul @ 3.641927
16 Armenian + Estonian + Lithuanian + Stuttgart @ 3.683021
17 Finnish + Lithuanian + Stuttgart + Turks_Istanbul @ 3.730208
18 Estonian + Estonian + Kurds_N + Stuttgart @ 3.752987
19 Lithuanian + Lithuanian + Stuttgart + Turks_Adana @ 3.774547
20 BA_Sintashta + Norwegian + Sardinian + Turks_Kayseri @ 3.855678

Ancient Eurasia K6 Oracle results:

Admix Results (sorted):

#	Population	Percent
1	West_European_Hunter_Gartherer	43.43
2	Natufian	37.38
3	Ancestral_North_Eurasian	18.46
4	Ancestral_South_Eurasian	0.55
5	Sub_Saharan	0.19

Single Population Sharing:

#	Population (source)	Distance
1	Hungarian	1.81
2	French	2.33
3	English	2.8
4	Czech	2.9
5	Croatian	3.05
6	Scottish	4.05
7	Ukrainian	4.58
8	Norwegian	4.85
9	Icelandic	6.53
10	Romanian	7.05
11	Spanish	7.09
12	Europe_LNBA	7.64
13	Bulgarian	8.89
14	Basque	9.6
15	Estonian	10.17
16	Lithuanian	10.73
17	Russian	12.77
18	Finnish	13.43
19	Steppe_MLBA	13.54
20	Albanian	13.58

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		97.1%	French	+	2.9%	EHG	@	0.35
2		97.8%	French	+	2.2%	AG2	@	0.41
3		97.8%	French	+	2.2%	AG3	@	0.41
4		97.8%	French	+	2.2%	MA1	@	0.41
5		92.9%	French	+	7.1%	Steppe_EMBA	@	0.49
6		84.6%	English	+	15.4%	Greek	@	0.51
7		91.7%	English	+	8.3%	Cypriot	@	0.52
8		87.7%	English	+	12.3%	Italian_South	@	0.53
9		92.5%	English	+	7.5%	Druze	@	0.56
10		52.3%	English	+	47.7%	Croatian	@	0.62
11		83.3%	English	+	16.7%	Albanian	@	0.64
12		87%	English	+	13%	Sicilian	@	0.64
13		93.4%	English	+	6.6%	Jew_Iranian	@	0.68
14		91.3%	Europe_LNBA	+	8.7%	Levant_N	@	0.68
15		91.3%	Europe_LNBA	+	8.7%	Natufian	@	0.68
16		76.6%	English	+	23.4%	Bulgarian	@	0.69
17		67.6%	Icelandic	+	32.4%	Albanian	@	0.7
18		93.4%	English	+	6.6%	Jew_iraqi	@	0.7
19		93.6%	English	+	6.4%	Levant_BA	@	0.71
20		68.6%	Croatian	+	31.4%	Icelandic	@	0.72

Ancient Eurasia K6 4-Ancestors Oracle

gedrosia K6 Oracle

Admix Results (sorted):

#	Population	Percent
1	West_European_Hunter_Gartherer	43.43
2	Natufian	37.38
3	Ancestral_North_Eurasian	18.46

Finished reading population data. 136 populations found.
6 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Hungarian @ 1.862990
2 French @ 2.299802
3 English @ 2.798044
4 Czech @ 2.869628
5 Croatian @ 3.080137
6 Scottish @ 4.008484
7 Ukrainian @ 4.512488
8 Norwegian @ 4.773424
9 Icelandic @ 6.500184
10 Spanish @ 6.935360
11 Romanian @ 7.104067
12 Europe_LNBA @ 7.545347
13 Bulgarian @ 8.975857
14 Basque @ 9.558382
15 Estonian @ 10.051054
16 Lithuanian @ 10.666956
17 Russian @ 12.751076
18 Steppe_MLBA @ 13.234116
19 Finnish @ 13.356215
20 Albanian @ 13.582247

Using 2 populations approximation:
1 50% Croatian +50% English @ 0.614564


Using 3 populations approximation:
1 50% Croatian +25% English +25% English @ 0.614564


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++
1 Albanian + Europe_LNBA + French + Icelandic @ 0.474825
2 Albanian + French + Icelandic + Icelandic @ 0.597442
3 Albanian + English + English + Icelandic @ 0.598931
4 Croatian + Croatian + English + English @ 0.614564
5 Albanian + English + English + Europe_LNBA @ 0.630615
6 Albanian + English + Icelandic + Scottish @ 0.633699
7 Georgian + Greek + Hungarian_KO1 + Italian_South @ 0.677390
8 Georgian + Greek + Italian_South + WHG @ 0.677390
9 English + Greek + Icelandic + Icelandic @ 0.694817
10 Albanian + English + Icelandic + Norwegian @ 0.709343
11 Albanian + Europe_LNBA + Europe_LNBA + French @ 0.715769
12 Bulgarian + English + English + English @ 0.719751
13 Croatian + Croatian + Czech + English @ 0.721756
14 Croatian + Croatian + Europe_LNBA + French @ 0.726560
15 Croatian + Croatian + French + Icelandic @ 0.730708
16 Bulgarian + English + French + Icelandic @ 0.739828
17 Europe_LNBA + French + Greek + Icelandic @ 0.742598
18 English + French + Norwegian + Romanian @ 0.748657
19 French + Greek + Icelandic + Icelandic @ 0.751306
20 Albanian + English + Icelandic + Icelandic @ 0.771199

I give up on these calculators and tests. I am not a Marxist or Communist but Karl Marx was right about somethings :

It must nestle everywhere, settle everywhere, establish connections everywhere. The bourgeoisie has through its exploitation of the world-market given a cosmopolitan character to production and consumption in every country. ... And as in material, so also in intellectual production.--Karl Marx

That is the reason these tests all say something different and the calculators are all over the place. Science is now completely corrupted by politics.

[Nordarya]

Well, maybe it's from 200 years ago or so. How much African do you get on Dodecad World9?

Sorry, I misread your request for Dodecad Africa9, because that's where I go for the racial admix, along with every EthioHelix app and puntDNAL Africa only. To isolate African ancestry, you have to use the right apps, all the same with the Asian ancestry by theirs. In any case, when apps tabulate African, it's a compilation of different populations in Africa, not a population in and of itself. With Eurasian populations, they're all sifted through with a fine-toothed comb and you can't see the forest for the trees. However, to understand the type of African DNA, you can't just group them all together, because not all of Africa is the same and there are different relationships with the outside world between its populations. My African is more consistent with Mediterranean Europe than Atlantic Europe, so mine is pre-1430s Portuguese contact not dissimilar from Albania and Kosovo and Living DNA proves that. Here though, it says I'm Mixed_Germanic & Puerto Rican, LOL.

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		92.4%	Mixed_Germanic (Dodecad)	+	7.6%	PUR30	@	0.44

World9 Oracle results:

Admix Results (sorted):

#	Population	Percent
1	Atlantic_Baltic	71.55
2	Southern	14.01
3	Caucasus_Gedrosia	11.4
4	Amerindian	1.15
5	African	1.09
6	South_Asian	0.53
7	Australasian	0.26

Single Population Sharing:

#	Population (source)	Distance
1	Mixed_Germanic (Dodecad)	2.79
2	Dutch (Dodecad)	3.8
3	German (Dodecad)	4.18
4	CEU30 (1000Genomes)	4.4
5	Cornwall (1000 Genomes)	4.53
6	Kent (1000 Genomes)	4.71
7	Hungarians (Behar)	4.79
8	British (Dodecad)	4.86
9	French (HGDP)	5
10	British_Isles (Dodecad)	5.8
11	French (Dodecad)	5.94
12	Argyll (1000 Genomes)	6.82
13	Irish (Dodecad)	6.85
14	Orcadian (HGDP)	6.96
15	Orkney (1000 Genomes)	7.33
16	Ukranians (Yunusbayev)	8.03
17	Polish (Dodecad)	9.01
18	Belorussian (Behar)	10.88
19	Norwegian (Dodecad)	11.04
20	Swedish (Dodecad)	11.5

Mixed Mode Population Sharing:

#		Primary Population (source)			Secondary Population (source)			Distance
1		92.4%	Mixed_Germanic (Dodecad)	+	7.6%	PUR30	@	0.44
2		83.9%	Dutch (Dodecad)	+	16.1%	Brazilian (Dodecad)	@	0.51
3		82.6%	German (Dodecad)	+	17.4%	Brazilian (Dodecad)	@	0.66
4		94%	Mixed_Germanic (Dodecad)	+	6%	Puerto_Rican	@	0.69
5		87.9%	Mixed_Germanic (Dodecad)	+	12.1%	Brazilian (Dodecad)	@	0.75
6		94.3%	Cornwall (1000 Genomes)	+	5.7%	Yemenese (Behar)	@	0.88
7		94.1%	Kent (1000 Genomes)	+	5.9%	Yemenese (Behar)	@	0.93
8		91.6%	Orcadian (HGDP)	+	8.4%	Bedouin (HGDP)	@	0.94
9		94.2%	German (Dodecad)	+	5.8%	Mozabite	@	0.94
10		91.2%	Orkney (1000 Genomes)	+	8.8%	Bedouin (HGDP)	@	0.95
11		93.9%	Kent (1000 Genomes)	+	6.1%	Egyptans (Behar)	@	0.96
12		94.2%	Cornwall (1000 Genomes)	+	5.8%	Egyptans (Behar)	@	0.97
13		91.2%	Orcadian (HGDP)	+	8.8%	Egyptans (Behar)	@	1.02
14		92.6%	British_Isles (Dodecad)	+	7.4%	Egyptans (Behar)	@	1.02
15		94.3%	German (Dodecad)	+	5.7%	Moroccans (Behar)	@	1.02
16		90.8%	Orkney (1000 Genomes)	+	9.2%	Egyptans (Behar)	@	1.07
17		94%	Mixed_Germanic (Dodecad)	+	6%	CLM30	@	1.13
18		94.4%	CEU30 (1000Genomes)	+	5.6%	Egyptans (Behar)	@	1.13
19		93.8%	British (Dodecad)	+	6.2%	Egyptans (Behar)	@	1.13
20		92.8%	British_Isles (Dodecad)	+	7.2%	Yemenese (Behar)	@	1.14

World9 4-Ancestors Oracle

Admix Results (sorted):

#	Population	Percent
1	Atlantic_Baltic	71.55
2	Southern	14.01
3	Caucasus_Gedrosia	11.40
4	Amerindian	1.15
5	African	1.09

Finished reading population data. 250 populations found.
9 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 2.865317
2 Dutch_Dodecad @ 4.014021
3 German_Dodecad @ 4.457733
4 CEU30_1000Genomes @ 4.747824
5 Cornwall_1000 Genomes @ 4.914500
6 Kent_1000 Genomes @ 5.121396
7 French_HGDP @ 5.200935
8 Hungarians_Behar @ 5.220535
9 British_Dodecad @ 5.269603
10 French_Dodecad @ 6.210854
11 British_Isles_Dodecad @ 6.324824
12 Argyll_1000 Genomes @ 7.349492
13 Irish_Dodecad @ 7.438264
14 Orcadian_HGDP @ 7.562428
15 Orkney_1000 Genomes @ 7.988347
16 Ukranians_Yunusbayev @ 8.479550
17 Polish_Dodecad @ 9.627522
18 Belorussian_Behar @ 11.595999
19 Norwegian_Dodecad @ 12.006923
20 Swedish_Dodecad @ 12.444424

Using 2 populations approximation:
1 50% German_Dodecad +50% French_HGDP @ 1.777643


Using 3 populations approximation:
1 50% Irish_Dodecad +25% Murcia_1000 Genomes +25% Ukranians_Yunusbayev @ 1.252110


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++
1 German_Dodecad + Orcadian_HGDP + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.190573
2 Orcadian_HGDP + CEU30_1000Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.191312
3 Lithuanian_Dodecad + Hungarians_Behar + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.197042
4 German_Dodecad + Portuguese_Dodecad + Orcadian_HGDP + Ukranians_Yunusbayev @ 1.199314
5 Polish_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.206762
6 Orcadian_HGDP + Argyll_1000 Genomes + Murcia_1000 Genomes + Ukranians_Yunusbayev @ 1.210816
7 Irish_Dodecad + German_Dodecad + Portuguese_Dodecad + Ukranians_Yunusbayev @ 1.214865
8 Irish_Dodecad + Argyll_1000 Genomes + Murcia_1000 Genomes + Ukranians_Yunusbayev @ 1.219863
9 CEU30_1000Genomes + Argyll_1000 Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.220979
10 Dutch_Dodecad + Orcadian_HGDP + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.222939
11 Orcadian_HGDP + Hungarians_Behar + Lithuanians + Canarias_1000 Genomes @ 1.225473
12 Portuguese_Dodecad + Cornwall_1000 Genomes + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.226601
13 Hungarians_Behar + Lithuanians + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.228362
14 German_Dodecad + Portuguese_Dodecad + Argyll_1000 Genomes + Ukranians_Yunusbayev @ 1.231009
15 Irish_Dodecad + CEU30_1000Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.231229
16 Irish_Dodecad + German_Dodecad + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.237714
17 Irish_Dodecad + Hungarians_Behar + Lithuanians + Canarias_1000 Genomes @ 1.241583
18 Irish_Dodecad + Orcadian_HGDP + Murcia_1000 Genomes + Ukranians_Yunusbayev @ 1.243633
19 German_Dodecad + Belorussian_Behar + Argyll_1000 Genomes + Canarias_1000 Genomes @ 1.244774
20 Cornwall_1000 Genomes + Argyll_1000 Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 1.247871

[Nordarya]

Definitely, for instance K15 has a Baltic category that could be inflated for certain Western Demographics and Dodecad (sp ?) is greco-roman biased.



AncestryDNA says I am mostly Irish and Scottish with English and small amounts of German and Scandinavian and tells me I am 1% nigger which is all bullshit because they do not differentiate between the Irish and Scots and the Scandinavian is from the Scottish etc...

LivingDNA says I am Irish, Scottish, English and NorthCumbrian which sounds way more reasonable. Not only does my small amount of continental ancestry shows up as English but I actually have an ancestor from London .

I'm actually happy that Living DNA reads my Continental ancestry as English, because I don't feel like the connections are more important than assessing DNA compatibility with Englishness. Consider the assimilation of the German members of the Royal family, the same as New Amsterdam becoming New York. Therefore, if Living DNA isolates incompatible ancestry as Aegean and Pashtun, the question remains how it got into my family tree. I then have to isolate haplogroup clades and subclades more common elsewhere than Anglo-Celtic populations, before it will make any sense why the percentages are read otherwise.

Ancestrydna seems to love telling people they are Irish and scandinavian.

BTW, I edited my above post before this one it was a clusterfuck.

Well, I for one know that I am both and have traced this on paper as well as family tradition, so it's great that they don't miss that.

I give up on these calculators and tests. I am not a Marxist or Communist but Karl Marx was right about somethings :

It must nestle everywhere, settle everywhere, establish connections everywhere. The bourgeoisie has through its exploitation of the world-market given a cosmopolitan character to production and consumption in every country. ... And as in material, so also in intellectual production.--Karl Marx

That is the reason these tests all say something different and the calculators are all over the place. Science is now completely corrupted by politics.

I think it's capitalism providing an inferior service by pandering to potential customers, like the Cheerios ad with the mixed family. They're incompetent but have a brand name and mansions to build with a bread and circus philosophy. Compare Fox News telling people what we want to hear, rather than the Marxist or Communist ABC/CBS/CNN/MSNBC telling us we're worthless and that we should love them for it.

[Leto]

Sorry, I misread your request for Dodecad Africa9, because that's where I go for the racial admix, along with every EthioHelix app and puntDNAL Africa only. To isolate African ancestry, you have to use the right apps, all the same with the Asian ancestry by theirs. In any case, when apps tabulate African, it's a compilation of different populations in Africa, not a population in and of itself. With Eurasian populations, they're all sifted through with a fine-toothed comb and you can't see the forest for the trees. However, to understand the type of African DNA, you can't just group them all together, because not all of Africa is the same and there are different relationships with the outside world between its populations. My African is more consistent with Mediterranean Europe than Atlantic Europe, so mine is pre-1430s Portuguese contact not dissimilar from Albania and Kosovo and Living DNA proves that. Here though, it says I'm Mixed_Germanic & Puerto Rican, LOL.

Valid points, Africa is genetically diverse even if they all look black to us.
Well, even though I used non-serious language (distant Jigaboo), I didn't mean to troll. White Americans with deep roots in North America often do have traces of African and/or Native American down their line.