I had a question. If all Europeans have Basal Eurasian in them since all Basal Eurasians had a few % of SSA in them (Out of Africa) then why does SSA show up for some Europeans on the Gedrosia K3 calculator but none for others?

On my Gedrosia K6 I had no SSA. Just Natufian but when I ran the K3 it came back with 1.58% SSA. This makes no sense.

Why doesn't the Basal SSA show up for everyone?

Do all Basal Eurasians have a bit of SSA in them?

http://www.telegraph.co.uk/news/2017...c-city-mosque/

Six people were killed and more injured after gunmen opened fire in a Québec City mosque during evening prayers in what the Canadian prime minister called a "terrorist attack on Muslims".

https://www.cbp.gov/travel/internati...ention-act-faq


Under the Act, travelers in the following categories are no longer eligible to travel or be admitted to the United States under the VWP:

• Nationals of VWP countries who have been present in Iraq, Syria, or countries listed under specified designation lists (currently including Iran and Sudan) at any time on or after March 1, 2011 (with limited government/military exceptions).
• Nationals of VWP countries who have been present in Iraq, Syria, Iran, Sudan, at any time on or after March 1, 2011 (with limited government/military exceptions).

https://sethfrantzman.com/2017/01/28...wont-tell-you/

Can anyone tell me about the underlying data for these impressive distribution maps? Is it available online? What sources were used?

I have recently found this site

http://haplogroup.org/mtdna/rsrs/l12...hv/h/h95/h95a/

which shows that many H95a come from either Italy or USA ( where did they migrate from ?)

Of the Italians
one is my sister
one surname Calderan is from the Carnian Alps Friuli
and another is from Trentino region

My ftdna match is with a "south Swedish " whose ancestors date to 1645 , but is part of the south western Finnish ftdna project ( Kven people ?)


I do not know where I can retrieve HG ID from

Hello everyone, I got my mtDNA results and my mt haplogroup is J2A2. I read that this kind of mt haplogroup is rare in Europe and strictly connected with women from Middle East and North Africa.

So, I want to start conversation about this mt haplogroup and my question is:
a) How mt J2A2 get to Europe?
b) Does anyone got informaton about main migration from Middle East to Europe/other part od world?
c) Could we connect J2A2 with Jewish diaspora?

- and last but not the least: Does anyone know about famous individuals with this mt haplogroup?

Hello there, I have some questions about my Y-DNA haplogoup which is described as I-F3145. So, Am I right that is other name of I2a1b-L621? Is this a specific mutation of I2a1b-L621?
Could we estimate when and where live a man who start I-F3145 lineage?

I was given a haplogroup of H on 23andme. I was given H59 on James Licks calculator. There is very little information on H59. I would like to know anything that is known about it. Thanks!

Get your life together in your 20s and not you 30s

Having a healthy relationship offers you consistency and stability. It may be more “fun” having a ton of girls texting your phone but it’s a lot more stressful trying to make all those girls happy. Get a girlfriend and direct that focus elsewhere. People are eating healthier and living longer so don’t waste your 20s being a complete f*ck up.
Waiting until your 30s to “settle down” is a risky game. The playing field is a lot more difficult and less appealing once you reach adulthood. Thirty is the new 20 and by 30 you should want true stability, you don’t want to waste your adult prime going out on dates.

A clear direction of focus

Although your single homeboys are making the single life seem awesome (as it is), having a healthy relationship with a girl can enhance your overall stability. Girls are the driving force of male behavior. While your male counterparts are out spending money on drinks, spending countless nights masturbating, and sending texts to numerous girls who aren’t interested, you have better things to do. Having a girlfriend will allow you to direct your focus on things you enjoy most; such as your art, your career, or any other hobbies you may have.
More goal-oriented

After spending countless nights pillow talking with your girlfriend, you may begin to open up about your thoughts on the future and, more specifically, your future. Because you have someone who cares for you other than yourself, you now have a partner to join your “dream team” to combat each of your futures. A good girl will help support your vision and keep you on track. Let’s face it, girls are a bit more mature and have the ability to keep guys more grounded and focused. Now don’t get selfish, your job is to support her in her endeavors as well.
A matured idea on “opposites attract”

Your girlfriend is not going to be the same as you, in fact she may be the polar opposite. The two of you will come from a different culture, family and social background. Learning to work through problems with someone who is the polar opposite will enable you to increase your overall patience for diverse backgrounds on every frontier, not just with your girlfriend, but the world.
A shoulder to cry on

Okay maybe not cry, but at least one to lean on. So many mishaps occur for a guy in his early twenties. Whether it be getting arrested, getting fired from your job, or just being a complete idiot, you need that person around who won’t pass judgment and serve as your distraction from destruction. Girls are much more compassionate than your male counterparts. You’re wasting your time venting to them. They’ll just tell you to drink a beer and get over it.
Money Saver

Some would disagree, but having a girlfriend is more cost effective for your wallet. In no way am I implying you grab some sugar mama, or start using some low self-esteem girl for her bank account, but more of a “utilize your resources” type approach. In your early 20s, money is always the issue. Most likely both of you are pretty broke, but together you guys are pretty well off.
With your long-time girlfriend, you can now split the cost of the following items: rent, gas, food, spirits and the hotel for your vacation(a vacation because you have the extra cash). And besides going on several dates with one girl is cheaper than going on several dates with several girls.
More Adventures, Always having a “homie”

I mean, who’s really going to go see “The Great Gatsby” with you? Surely not any of your male friends. Having a girlfriend allows you to indulge in so many other activities that you can’t do with your male friends. And besides, some things are more enjoyable if someone of the opposite sex is present. You can always count on your girlfriend to roll out with you in case your boys sell you out.
Ability to become selfless

Finally, this is the best quality to obtain from a relationship. We live in such an individualistic society and for millennials that means complete selfishness. Selfishness is an ugly trait and will only lead to bad things happening in this society. Obtaining the the ability to care about someone else other than yourself is all this generation needs to fix its problems. Having a girlfriend will, all in all, teach you that it’s not always about you!
Modern monogamy can exist within this generation. Don’t let music, negative people, home wreckers, whores or womanizers stir you away from that idea. Your true loyalty to your girlfriend will increase your overall character. The ability to be loyal and commit to someone will even increase your overall level of respect other people have for you. In a generation where it’s so easy to cheat, and take the easy way out, your ability to be honest, commit and love another person will help you prevail in the end.

source:

http://elitedaily.com/dating/gentlem...irlfriend-now/

See:
http://www.archaeology.org/news/5235...glass-workshop

"ZYWIEC, POLAND—Science & Scholarship in Poland reports that the remains of a 2,000-year-old glass and metal workshop have been found on Mount Grojec in south-central Poland. Archaeologist Tomasz Gralak of the University of Wroclaw and his team uncovered furnaces, defective glass beads, and pieces of melted waste glass at the site, which was located in a settlement dating back more than 2,500 years. “It was here that half-processed material in the form of lumps of raw glass or metal bars was delivered and finished items were made,” he explained. Gralak and his team will analyze the glass to see if they can determine where it originated. The researchers think it may have been imported from as far away as the Mediterranean. The team also found a large cistern near the workshop, crucibles for melting metal, and stone grinders. “They were probably influenced by Celtic tribes, which had the knowledge of glass processing. But it was a local population, limited to the mountain areas,” he said. It had been thought that glass was not produced in Poland until the medieval period. "

CostToTravel is dedicated to help the travelers to know better about their coming trip & plan their journey in a better way. Travelers’ can easily find flight status.

PL_N17 from Gustorzyn, Early Bronze Age Poland, ca. 1953-1880 BC:

http://www.ebi.ac.uk/ena/data/view/SAMN04633627

According to Vladimir Tagankin, his Y-DNA haplogroup was R1a-Z280.

This is the oldest R1a-Z280 found so far, and the only Early BA one.

Red arrow shows Gustorzyn:

sociologist Diego Gambetta of Oxford University claims suicide terrorists have almost always religious motives

but the religious motives would have nothing to do with the religion itself
suicide terrorism is due to a lack of sex or opportunities thereto which makes males violent and aggresif
this lack of sex is a consequence of tolerance toward polygamy in Islam
Diego Gambetta refers to the promise of 72 virgins in heaven


https://nl.express.live/2017/02/01/p...e-waarheden/4/

I was looking at the R1b map on eupedia the other day, andinteresting and admirably made as it is, I suddenly got the unpleasant feelingI was staring at a bag of cut off testicles. I mean, this is a historical map,a map of something disappearing. Today Europe is undergoing genetic changesunseen since the invasion of the Indo-Europeans. Let’s stop dwelling in thepast for a moment and look at the future. What is the new R1? What will be themost common haplogroup in Europe in the year 2050?

See:

http://www.archaeology.org/news/5240...e-aurochs-dots


"NEW YORK, NEW YORK—Live Science reports that new excavations at the Abri Blanchard rock shelter in southwestern France uncovered a broken limestone block engraved with an image of an aurochs, a type of extinct wild cow, surrounded by rows of small dots. Radiocarbon testing revealed that the block dates to some 38,000 years ago—a time when modern humans were first spreading into Europe. Anthropologist Randall White, who led the excavations, said that the block may have fallen from the ceiling of the rock shelter, or it may have been carried there by a member of the Aurignacian culture for carving. Similar images of aurochs have been found in France’s Chauvet Cave, and aligned dots have been found engraved on Aurignacian objects, but it is unusual to see the dots combined with an image of an animal."

Pretty interesting - I just got a GEDmatch kit of a South-Eastern Kresowiak:

https://en.wikipedia.org/wiki/Kresy

He has a typically Polish, Slavic surname with "-ski" suffix.

He is an ethnic Pole with ancestry from pre-war Lwów (now Lviv, Ukraine):

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

Eurogenes K15:

Admix Results (sorted):

# Population Percent
1 North_Sea 25.5
2 Baltic 22.33
3 Atlantic 20.24
4 Eastern_Euro 13.29
5 West_Med 8.13
6 West_Asian 4.39
7 East_Med 3.3
8 Red_Sea 1.16
9 Southeast_Asian 0.85
10 Oceanian 0.43
11 Amerindian 0.38
12 Sub-Saharan 0.01

Single Population Sharing:

# Population (source) Distance
1 East_German 4.76
2 Hungarian 5.17
3 Austrian 7.16
4 South_Polish 7.38
5 Croatian 7.7
6 Ukrainian_Lviv 8.18
7 Ukrainian 8.68
8 Southwest_Finnish 8.9
9 Polish 8.92
10 Moldavian 10.3
11 Finnish 10.61
12 Russian_Smolensk 11.79
13 North_German 12.45
14 Estonian 12.51
15 North_Swedish 12.61
16 Serbian 12.64
17 Belorussian 13.2
18 Southwest_Russian 13.3
19 South_Dutch 13.39
20 Ukrainian_Belgorod 13.41

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.7% Ukrainian_Lviv + 32.3% Southeast_English @ 1.94
2 68% Ukrainian_Lviv + 32% Irish @ 2.07
3 70% South_Polish + 30% Southwest_English @ 2.12
4 79.3% East_German + 20.7% Lithuanian @ 2.12
5 67.7% Ukrainian_Lviv + 32.3% Southwest_English @ 2.13
6 60.9% Ukrainian_Lviv + 39.1% North_German @ 2.21
7 50.2% Lithuanian + 49.8% French @ 2.21
8 65.2% South_Polish + 34.8% South_Dutch @ 2.23
9 54.5% Russian_Smolensk + 45.5% West_German @ 2.28
10 70.3% South_Polish + 29.7% Southeast_English @ 2.28
11 62.7% Ukrainian_Lviv + 37.3% South_Dutch @ 2.32
12 69% Ukrainian_Lviv + 31% West_Scottish @ 2.34
13 75.9% East_German + 24.1% Belorussian @ 2.39
14 51.6% Belorussian + 48.4% West_German @ 2.4
15 66.5% South_Polish + 33.5% West_German @ 2.4
16 55.3% South_Dutch + 44.7% Lithuanian @ 2.41
17 63% East_German + 37% South_Polish @ 2.42
18 65.7% East_German + 34.3% Ukrainian_Lviv @ 2.45
19 70.7% South_Polish + 29.3% Irish @ 2.56
20 61.8% Polish + 38.2% West_German @ 2.56

MDLP World-22:

Admix Results (sorted):

# Population Percent
1 North-East-European 57.05
2 Atlantic_Mediterranean_Neolithic 26.08
3 West-Asian 4.79
4 Near_East 4.42
5 North-European-Mesolithic 2.06
6 Samoedic 2.02
7 Indo-Iranian 1.24
8 Indian 0.78
9 South-America_Amerind 0.54
10 Austronesian 0.46
11 East-South-Asian 0.27
12 North-Amerind 0.2
13 Indo-Tibetan 0.07

Single Population Sharing:

# Population (source) Distance
1 Slovakian (derived) 2.33
2 Czech (derived) 2.88
3 Croatian_V (derived) 4.22
4 Slovenian (derived) 5.25
5 German (derived) 5.65
6 German-North (derived) 6.41
7 Ukrainian-West (derived) 6.69
8 Hungarian (derived) 7.06
9 Croatian (derived) 7.47
10 Ukrainian_V (derived) 8.3
11 Austrian (derived) 9.02
12 Sorb (derived) 9.11
13 Swedish (derived) 9.15
14 Ukrainian-Center (derived) 9.17
15 Bosnian (derived) 9.31
16 German_V (derived) 9.61
17 CEU_V (derived) 9.69
18 Belarusian_V (derived) 9.96
19 Swedish_V (derived) 10.04
20 Mordovian_V (derived) 10.41

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.1% Slovakian (derived) + 2.9% Mozabite (derived) @ 1.4
2 97.3% Slovakian (derived) + 2.7% Moroccan (derived) @ 1.47
3 98.3% Slovakian (derived) + 1.7% Near_East (ancestral) @ 1.5
4 97.6% Slovakian (derived) + 2.4% Bedouin (derived) @ 1.53
5 97.4% Slovakian (derived) + 2.6% Egyptian (derived) @ 1.56
6 97.7% Slovakian (derived) + 2.3% Jew_Yemen (derived) @ 1.56
7 97.7% Slovakian (derived) + 2.3% Saudi (derived) @ 1.58
8 97.1% Slovakian (derived) + 2.9% Otzi (derived) @ 1.59
9 97.1% Slovakian (derived) + 2.9% Jew_Libya (derived) @ 1.62
10 96.9% Slovakian (derived) + 3.1% Jew_Morocco (derived) @ 1.65
11 96.6% Slovakian (derived) + 3.4% Ashkenazim (derived) @ 1.65
12 71.9% Russian_V (derived) + 28.1% Spaniard (derived) @ 1.65
13 97.1% Slovakian (derived) + 2.9% Jew_Tunisia (derived) @ 1.66
14 98.1% Slovakian (derived) + 1.9% Jew-Ethiopia (derived) @ 1.66
15 98.1% Slovakian (derived) + 1.9% Jew_Ethiopia (derived) @ 1.67
16 97.1% Slovakian (derived) + 2.9% Jew_Algeria (derived) @ 1.67
17 97.6% Slovakian (derived) + 2.4% Yemen (derived) @ 1.68
18 95.7% Slovakian (derived) + 4.3% Puerto-Rican (derived) @ 1.68
19 97.5% Slovakian (derived) + 2.5% Palestinian (derived) @ 1.69
20 96.8% Slovakian (derived) + 3.2% Jew_Francestrale (derived) @ 1.69

MDLP World:

Admix Results (sorted):

# Population Percent
1 North_and_East_European 45.21
2 South_and_West_European 40.85
3 Caucaus_Parsia 5.81
4 Middle_East 4.71
5 Indian 1.69
6 Mesoamerican 0.71
7 East_Asian 0.41
8 Arctic_Amerind 0.4
9 Melanesian 0.21

Single Population Sharing:

# Population (source) Distance
1 Slovakian 2.11
2 Czech 2.77
3 Croatian_V 3.31
4 German 3.83
5 German-North 4.21
6 Ukrainian-West 4.68
7 Sorb 5.36
8 Slovenian 5.42
9 Ukrainian_V 5.53
10 Swedish 5.7
11 Swedish_V 6.13
12 Norwegian_V 6.52
13 Hungarian 6.61
14 CEU_V 6.76
15 Ukrainian-Center 6.77
16 Belarusian_V 7.11
17 German_V 7.51
18 Ukrainian 7.67
19 Croatian 7.76
20 Austrian 8.05

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 65.7% Croatian_V + 34.3% Swedish_V @ 0.96
2 91.4% Swedish_V + 8.6% Samaritian @ 1.28
3 92.9% Swedish_V + 7.1% Jew_Yemen @ 1.33
4 91% Swedish_V + 9% Palestinian @ 1.41
5 58.5% Belarusian + 41.5% Swiss @ 1.45
6 61% Belarusian + 39% Provancal @ 1.5
7 66.5% Slovakian + 33.5% Croatian_V @ 1.51
8 53.3% Estonian + 46.7% Italian_North @ 1.51
9 93% Swedish_V + 7% Saudi @ 1.51
10 74.7% Polish + 25.3% Corsican @ 1.52
11 77.5% Ukrainian + 22.5% Iberian @ 1.52
12 63% Belarusian + 37% Italian_North @ 1.52
13 70.8% Belarusian + 29.2% Kosovar @ 1.54
14 51.2% Estonian + 48.8% Provancal @ 1.57
15 60.3% Russian + 39.7% Provancal @ 1.57
16 92.6% Swedish_V + 7.4% Bedouin @ 1.57
17 55.5% Lithuanian + 44.5% Italian_North @ 1.58
18 68.6% Polish + 31.4% Italian_North @ 1.59
19 93% Czech + 7% Finnish-North @ 1.59
20 52.8% Latvian + 47.2% Italian_North @ 1.59

Dodecad V3:

Admix Results (sorted):

# Population Percent
1 West_European 40.6
2 East_European 26.47
3 Mediterranean 21.48
4 West_Asian 7.42
5 Southwest_Asian 2.66
6 Southeast_Asian 0.9
7 Northeast_Asian 0.4
8 Neo_African 0.07

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 4.83
2 Hungarians (Behar) 5.16
3 German (Dodecad) 13.98
4 Balkans (Dodecad) 17.4
5 Polish (Dodecad) 18.12
6 Mixed_Slav (Dodecad) 18.53
7 CEU (HapMap) 18.78
8 N._European (Xing) 18.81
9 Argyll (1000 Genomes) 19.28
10 Orcadian (HGDP) 20.1
11 Orkney (1000 Genomes) 20.3
12 FIN (1000Genomes) 20.38
13 Romanians_14 (Behar) 21.24
14 Finnish (Dodecad) 23.72
15 Russian (Dodecad) 23.93
16 French (Dodecad) 25.07
17 French (HGDP) 25.59
18 Mixed_Germanic (Dodecad) 25.84
19 Swedish (Dodecad) 27.01
20 Dutch (Dodecad) 27.41

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88.6% Slovenian (Xing) + 11.4% Lithuanians (Behar) @ 2.13
2 89.4% Slovenian (Xing) + 10.6% Lithuanian (Dodecad) @ 2.19
3 81.5% Hungarians (Behar) + 18.5% FIN (1000Genomes) @ 2.34
4 81% Slovenian (Xing) + 19% Polish (Dodecad) @ 2.35
5 85.3% Slovenian (Xing) + 14.7% Russian (Dodecad) @ 2.55
6 85.2% Slovenian (Xing) + 14.8% Finnish (Dodecad) @ 2.58
7 87.1% Slovenian (Xing) + 12.9% Russian (HGDP) @ 2.61
8 81.9% Slovenian (Xing) + 18.1% Mixed_Slav (Dodecad) @ 2.62
9 58.1% Mixed_Slav (Dodecad) + 41.9% French (HGDP) @ 2.66
10 88.1% Slovenian (Xing) + 11.9% Belorussian (Behar) @ 2.72
11 51.7% Russian (Dodecad) + 48.3% French (HGDP) @ 2.74
12 84.8% Hungarians (Behar) + 15.2% Finnish (Dodecad) @ 2.96
13 86.8% Hungarians (Behar) + 13.2% Swedish (Dodecad) @ 3.18
14 88.6% Hungarians (Behar) + 11.4% Norwegian (Dodecad) @ 3.48
15 85.9% Slovenian (Xing) + 14.1% FIN (1000Genomes) @ 3.54
16 50.4% Mixed_Slav (Dodecad) + 49.6% CEU (HapMap) @ 3.55
17 51.1% FIN (1000Genomes) + 48.9% Romanians_14 (Behar) @ 3.69
18 50.4% Mixed_Slav (Dodecad) + 49.6% N._European (Xing) @ 3.86
19 79.8% Hungarians (Behar) + 20.2% German (Dodecad) @ 3.87
20 58.8% Polish (Dodecad) + 41.2% French (HGDP) @ 3.95

PuntDNAL K15:

Admix Results (sorted):

# Population Percent
1 NE_European 60.55
2 Mediterranean 25.46
3 Caucasian 6.1
4 SW_Asian 4.61
5 Siberian 0.94
6 Horn_Of_Africa 0.91
7 Beringian 0.55
8 Omo_River 0.27
9 Amerindian 0.24
10 Oceanian 0.2
11 E_Asian 0.18

Single Population Sharing:

# Population (source) Distance
1 Swedish 3.44
2 Norwegian 3.95
3 Polish 4.86
4 North_German 4.99
5 Orcadian 5.89
6 Scottish 5.89
7 Austrian 6.03
8 Slovenian 6.35
9 English 6.87
10 Irish 6.98
11 Hungarian 7.38
12 Croatian 9.47
13 Utahn_White 10.02
14 South_German 10.6
15 Belarusian 10.66
16 Mordovian 10.9
17 Russian 11.17
18 Karelian 12.32
19 Finnish 12.94
20 French 13.94

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.9% Belarusian + 17.1% Sardinian @ 1.2
2 69.4% Belarusian + 30.6% Spaniard @ 1.32
3 96.6% Swedish + 3.4% Bedouin_B @ 1.4
4 62.7% Lithuanian + 37.3% Spaniard @ 1.48
5 78.4% Lithuanian + 21.6% Sardinian @ 1.78
6 65.5% Lithuanian + 34.5% Portuguese @ 2.01
7 96.3% Swedish + 3.7% Saudi @ 2.02
8 72.1% Belarusian + 27.9% Portuguese @ 2.19
9 93.7% Polish + 6.3% Mozabite_Berber @ 2.35
10 84.9% Polish + 15.1% Spaniard @ 2.36
11 93.3% Polish + 6.7% Libyan @ 2.36
12 93.4% Polish + 6.6% Moroccan @ 2.4
13 92.4% Polish + 7.6% Sardinian @ 2.41
14 87.5% Polish + 12.5% Brazilian @ 2.43
15 74.1% Belarusian + 25.9% Basque @ 2.44
16 93.6% Polish + 6.4% Yemenite_Jew @ 2.45
17 57% Belarusian + 43% French @ 2.48
18 66.6% Orcadian + 33.4% Mordovian @ 2.51
19 50.7% French + 49.3% Lithuanian @ 2.54
20 66.1% Orcadian + 33.9% Belarusian @ 2.56

Eurogenes K13:

Admix Results (sorted):

# Population Percent
1 Baltic 36.5
2 North_Atlantic 35.21
3 West_Med 11.43
4 East_Med 8.48
5 West_Asian 3.62
6 Red_Sea 1.53
7 East_Asian 1.35
8 Amerindian 0.64
9 Oceanian 0.56
10 Siberian 0.49
11 Sub-Saharan 0.19

Single Population Sharing:

# Population (source) Distance
1 East_German 6.19
2 Hungarian 6.41
3 South_Polish 7.31
4 Austrian 7.63
5 Croatian 8.53
6 Ukrainian_Lviv 9.41
7 Ukrainian 9.76
8 Polish 10.15
9 North_Swedish 11.21
10 Southwest_Finnish 11.24
11 Moldavian 11.75
12 Russian_Smolensk 13.35
13 Southwest_Russian 13.42
14 Belorussian 13.44
15 Estonian_Polish 13.65
16 Serbian 13.97
17 Ukrainian_Belgorod 14.05
18 North_German 14.15
19 Swedish 14.2
20 West_German 14.9

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 59.6% Belorussian + 40.4% French @ 2.35
2 52.7% Belorussian + 47.3% West_German @ 2.76
3 52.3% Estonian_Polish + 47.7% West_German @ 2.93
4 65.2% Austrian + 34.8% Belorussian @ 3.06
5 54.2% Belorussian + 45.8% South_Dutch @ 3.09
6 59.3% Estonian_Polish + 40.7% French @ 3.1
7 66.5% Belorussian + 33.5% Spanish_Cataluna @ 3.1
8 53.8% Estonian_Polish + 46.2% South_Dutch @ 3.24
9 68.4% Belorussian + 31.6% Spanish_Murcia @ 3.26
10 52.3% Lithuanian + 47.7% French @ 3.35
11 67.3% Belorussian + 32.7% Spanish_Castilla_Y_Leon @ 3.36
12 65.9% Austrian + 34.1% Estonian_Polish @ 3.37
13 57.7% Croatian + 42.3% North_Swedish @ 3.4
14 66.4% Hungarian + 33.6% Southwest_Finnish @ 3.41
15 71.7% East_German + 28.3% Belorussian @ 3.48
16 68.4% Belorussian + 31.6% Spanish_Valencia @ 3.5
17 68.9% Austrian + 31.1% Estonian @ 3.51
18 60% Russian_Smolensk + 40% French @ 3.51
19 52.9% Russian_Smolensk + 47.1% West_German @ 3.53
20 72.2% Austrian + 27.8% Lithuanian @ 3.54

MDLP K23b:

Admix Results (sorted):

# Population Percent
1 European_Hunters_Gatherers 44.05
2 Caucasian 28.27
3 European_Early_Farmers 17.69
4 Ancestral_Altaic 4.4
5 Near_East 2.34
6 Austronesian 0.8
7 Australoid 0.76
8 Amerindian 0.61
9 Subsaharian 0.35
10 East_Siberian 0.31
11 South_Central_Asian 0.25
12 African_Pygmy 0.17

Single Population Sharing:

# Population (source) Distance
1 Hungarian ( ) 3.56
2 Slovenian ( ) 4.02
3 Hungarian_Budapest ( ) 4.52
4 Czech ( ) 5.16
5 Slovak ( ) 5.54
6 Austrian ( ) 5.95
7 Kashub ( ) 6.88
8 German ( ) 7.91
9 Ukrainian_West ( ) 7.98
10 Sorb ( ) 8.02
11 Serb_Serbia ( ) 8.39
12 German_East ( ) 8.73
13 Croat ( ) 8.87
14 Serb_BH ( ) 9.13
15 Bosnian ( ) 9.2
16 Croat_BH ( ) 9.75
17 Montenegrian ( ) 10.67
18 Ukrainian_Center ( ) 10.86
19 Belarusian_West ( ) 10.94
20 Belarusian-East ( ) 11.23

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 84.5% Ukrainian_Center ( ) + 15.5% Sardinian ( ) @ 3
2 63.9% Croat_BH ( ) + 36.1% Swede ( ) @ 3.13
3 72.5% Ukrainian_Center ( ) + 27.5% Spanish_Baleares_IBS ( ) @ 3.19
4 63.9% Russian-West ( ) + 36.1% Italian_Piedmont ( ) @ 3.31
5 61.6% Croat_BH ( ) + 38.4% Dane ( ) @ 3.32
6 67.7% Belarusian-East ( ) + 32.3% Italian_Bergamo ( ) @ 3.34
7 88.7% Ukrainian_West ( ) + 11.3% Sardinian ( ) @ 3.35
8 96.8% Hungarian ( ) + 3.2% Udmurd ( ) @ 3.36
9 58% Balt ( ) + 42% Italian_Piedmont ( ) @ 3.37
10 66% Serb_Serbia ( ) + 34% Finn_West ( ) @ 3.37
11 98.5% Hungarian ( ) + 1.5% Khant ( ) @ 3.37
12 61% Croat ( ) + 39% Swede_Saami ( ) @ 3.39
13 98.5% Hungarian ( ) + 1.5% Mansi ( ) @ 3.4
14 95.6% Hungarian ( ) + 4.4% Tatar_Kryashen ( ) @ 3.41
15 98.5% Hungarian ( ) + 1.5% Tubalar ( ) @ 3.42
16 96.4% Hungarian ( ) + 3.6% Komi ( ) @ 3.42
17 96.9% Hungarian ( ) + 3.1% Chuvash ( ) @ 3.43
18 71% Croat_BH ( ) + 29% Norwegian_West ( ) @ 3.44
19 98.8% Hungarian ( ) + 1.2% Ket ( ) @ 3.45
20 66.6% Croat ( ) + 33.4% Swede ( ) @ 3.45

Gedrosia K6:

Admix Results (sorted):

# Population Percent
1 West_European_Hunter_Gartherer 43.73
2 Natufian 35.13
3 Ancestral_North_Eurasian 18.34
4 East_Asian 1.85
5 Ancestral_South_Eurasian 0.64
6 Sub_Saharan 0.32

Single Population Sharing:

# Population (source) Distance
1 Czech 1.54
2 Hungarian 1.81
3 Ukrainian 2.21
4 English 2.31
5 Scottish 2.47
6 Norwegian 3.15
7 French 4.09
8 Icelandic 4.97
9 Croatian 5.04
10 Europe_LNBA 5.82
11 Estonian 7.87
12 Lithuanian 8.75
13 Romanian 8.76
14 Spanish 8.84
15 Russian 9.9
16 Basque 10.33
17 Bulgarian 10.51
18 Finnish 10.55
19 Steppe_MLBA 11.92
20 Albanian 15.49

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 94.8% English + 5.2% Turkmen @ 0.29
2 93.8% Ukrainian + 6.2% Anatolia_N @ 0.42
3 95.5% English + 4.5% Uzbek @ 0.45
4 81.8% Hungarian + 18.2% Estonian @ 0.48
5 80.4% Ukrainian + 19.6% Spanish @ 0.48
6 55.3% Hungarian + 44.7% Ukrainian @ 0.53
7 96.4% English + 3.6% Hazara @ 0.62
8 96.8% Czech + 3.2% Turkmen @ 0.63
9 90.4% Ukrainian + 9.6% Sardinian @ 0.63
10 96.4% English + 3.6% Uygur @ 0.64
11 83.8% Hungarian + 16.2% Lithuanian @ 0.66
12 54.6% Lithuanian + 45.4% Bulgarian @ 0.7
13 97.3% Czech + 2.7% Uzbek @ 0.7
14 77.6% Hungarian + 22.4% Europe_LNBA @ 0.71
15 50% Romanian + 50% Lithuanian @ 0.72
16 82.6% Lithuanian + 17.4% Levant_BA @ 0.73
17 66.4% Estonian + 33.6% Albanian @ 0.73
18 86.4% Hungarian + 13.6% Finnish @ 0.73
19 97.8% Czech + 2.2% Hazara @ 0.74
20 52.7% Estonian + 47.3% Romanian @ 0.75

Gedrosia K15:

Admix Results (sorted):

# Population Percent
1 WHG 44.84
2 EEF 18.65
3 Caucuses 15.42
4 SW_Asian 7.71
5 Burusho 4.33
6 Kalash 2.75
7 Balochi 2.53
8 Siberian 1.99
9 SE_Asian 1.09
10 W_African 0.7

Single Population Sharing:

# Population (source) Distance
1 Hungarian 5.86
2 Croatian 6.44
3 Czech 9.84
4 Norwegian 11.18
5 English 11.62
6 Bulgarian 14.17
7 French 15.1
8 Ukrainian 17.53
9 Mordovian 22.35
10 Belarusian 22.75
11 Russian 23.74
12 Albanian 24.7
13 Finnish 25.37
14 Spanish 25.63
15 Greek 25.98
16 Bergamo 28.53
17 Estonian 30.14
18 Lithuanian 31.16
19 French_South 32.06
20 Sicilian 32.54

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 56.2% Mordovian + 43.8% Bergamo @ 3.51
2 74.9% Mordovian + 25.1% Stuttgart @ 3.65
3 93.5% Hungarian + 6.5% Burusho @ 3.69
4 82.5% Norwegian + 17.5% Lebanese @ 3.78
5 83.6% Norwegian + 16.4% Iraqi_Jew @ 3.79
6 78.8% Czech + 21.2% Ashkenazi_Jew @ 3.99
7 83.2% Norwegian + 16.8% Jordanian @ 4.03
8 83.6% Norwegian + 16.4% Iranian_Jew @ 4.04
9 54.7% Russian + 45.3% Bergamo @ 4.09
10 83.4% Norwegian + 16.6% Syrian @ 4.11
11 84.7% Czech + 15.3% Lebanese @ 4.11
12 92.8% Hungarian + 7.2% Kashmiri_Pandit @ 4.12
13 92.3% Hungarian + 7.7% Pathan @ 4.15
14 50.7% Albanian + 49.3% Finnish @ 4.21
15 82.2% Norwegian + 17.8% Cypriot @ 4.23
16 92.8% Hungarian + 7.2% Kurd_SE @ 4.24
17 78.4% Czech + 21.6% Sicilian @ 4.24
18 83.5% Norwegian + 16.5% Georgian_Jew @ 4.27
19 91.6% Hungarian + 8.4% Pashtun_Afghan @ 4.27
20 84.3% Czech + 15.7% Cypriot @ 4.27

PuntDNAL K12:

Admix Results (sorted):

# Population Percent
1 European_HG 41.68
2 Anatolian_NF 31.84
3 Caucasus_HG 20.72
4 Near_East 3.07
5 Beringian 1.16
6 Siberian 0.7
7 East_Asian 0.47
8 South_African_HG 0.23
9 Oceanian 0.13

Single Population Sharing:

# Population (source) Distance
1 Hungarian 1.37
2 Dutch_South 4.02
3 Czech 4.65
4 Dutch_North 4.71
5 English_South 4.85
6 Irish 5
7 German_North 5.14
8 Utahn_European 5.19
9 Croatian 5.68
10 Scottish_West 6.15
11 Belgian 6.45
12 Romanian 6.77
13 German_South 6.8
14 Norwegian 7.35
15 Swedish 8.88
16 Icelandic 9.99
17 French 11.03
18 Bulgarian 12.7
19 Belarusian 13.49
20 Mordovian 14.1

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 98.7% Hungarian + 1.3% Selkup @ 1.03
2 98.8% Hungarian + 1.2% Dolgan @ 1.05
3 99.2% Hungarian + 0.8% Nganasan @ 1.05
4 99.2% Hungarian + 0.8% Koryak @ 1.06
5 99% Hungarian + 1% Yakut @ 1.07
6 98.9% Hungarian + 1.1% Tuvinian @ 1.11
7 99.2% Hungarian + 0.8% Chukchi @ 1.12
8 98.8% Hungarian + 1.2% Altaian @ 1.12
9 99.1% Hungarian + 0.9% Eskimo @ 1.16
10 97.3% Hungarian + 2.7% Chuvash @ 1.18
11 99.3% Hungarian + 0.7% Mongolian @ 1.24
12 99.4% Hungarian + 0.6% Korean @ 1.27
13 99.5% Hungarian + 0.5% Japanese @ 1.28
14 99.6% Hungarian + 0.4% Khomani @ 1.28
15 99% Hungarian + 1% Hazara @ 1.28
16 99.2% Hungarian + 0.8% Saharawi @ 1.28
17 99% Hungarian + 1% Algerian @ 1.28
18 99.1% Hungarian + 0.9% Mozabite_Berber @ 1.29
19 99% Hungarian + 1% Turkmen @ 1.29
20 99.1% Hungarian + 0.9% Tunisian @ 1.29

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

His results are quite Off-Polish, but also quite Off-Ukrainian.

See:
http://www.archaeology.org/news/5241...oman-shipwreck

"CABRERA, SPAIN—Last year, fisherman working off the coast of the tiny island of Cabrera, in the Cabrera Archipelago Maritime-Terrestrial National Park, let the researchers at the Balearics Institute for the Study of Marine Archaeology (IBEAM) know that they had found pottery fragments in their nets. El País reports that the IBEAM team then investigated the site with a robot and found the wreckage of an 1,800-year-old Roman ship under more than 200 feet of water. The ship, which had been carrying an estimated 1,000 to 2,000 amphoras, is thought to have been transporting fermented fish sauce between North Africa, Spain, France, and Rome. Most of the amphoras at the shipwreck site measure about three feet long and are thought to have originated in North Africa, while the smaller jars are thought to have originated in southern Portugal. “As far as we know, this is the first time that a completely unaltered wreck has been found in Spanish waters,” said marine archaeologist Javier Rodríguez."

Gosh, what a love affair the Romans had with this fermented fish sauce. They apparently used it as a flavor enhancer. I do use a drop of anchovy paste in a lot of dishes to do the same, but I don't know what this thing tasted like.

Recipe for garum, which the Romans seem to have gotten from the Greeks. It was popular throughout Byzantium as well.

"Pliny stated that garum was made from fish intestines, with salt, creating a liquor, the garum, and a sediment named (h)allec or allex.^[3] A concentrated garum evaporated down to a thick paste with salt crystals was called muria;^[4] it would have been rich in protein, amino acids, minerals and B vitamins.^[5]Like the modern fermented soy product soy sauce, fermented garum is rich in the natural amino acid monosodium glutamate, a source of umami flavoring.^[6] It was used along with murri in medieval Byzantine and Arab cuisine to give a savory flavor to dishes.^[7] Murri may well derive from garum.^[8]
Garum was produced in various grades consumed by all social classes. After the liquid was ladled off of the top of the mixture, the remains of the fish, called allec, was used by the poorest classes to flavour their staple porridge or farinata. The finished product—the nobile garum of Martial's epigram^[9]—was apparently mild and subtle in flavor. The best garum fetched extraordinarily high prices,^[10] and salt could be substituted for a simpler dish. Garum appears in many recipes featured in the Roman cookbook Apicius. For example, Apicius (8.6.2–3) gives a recipe for lamb stew, calling for the meat to be cooked with onion and coriander, pepper, lovage, cumin, liquamen, oil, and wine, then thickened with flour."
https://en.wikipedia.org/wiki/Garum

Apropos of the article, a garum factory in Spain:

Hello Support team, I have 15+ posts but I am unable to post in other forum subjects. What may be the issue?

Please guess my Race? what would you think of my race?

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