WA WA - Olympia, WhtFem 20-30, UP8886, cranium & bones in wooded area, sticks & shoelace cross, Oct'81

DNA Solves
DNA Solves
DNA Solves
Could any of these missing women be the deceased? It's quite tricky to work out who is ruled out when you cannot view the list. I realise that some of the ages might not fit, but the deceased was at the site for some years prior to discovery, so the autopsy may not have been accurate. There is also the possibility that the deceased may have been alive for some time prior to her death.

The National Missing and Unidentified Persons System (NamUs)
The National Missing and Unidentified Persons System (NamUs)
The National Missing and Unidentified Persons System (NamUs)
The National Missing and Unidentified Persons System (NamUs)
The National Missing and Unidentified Persons System (NamUs)
Kim Charleson – The Charley Project
The National Missing and Unidentified Persons System (NamUs)
The National Missing and Unidentified Persons System (NamUs)
The National Missing and Unidentified Persons System (NamUs)
The National Missing and Unidentified Persons System (NamUs)
There are 5 exclusions:
MP38924 Wanda Loe 1968 Placer, CA
MP6496 Laurie Partridge 1974 Spokane, WA
MP14071 Linda Endorf 1976 King, WA
MP9265 Vicki Hollar 1973 Lane, OR
MP14266 Barbara McClure 1978 King, WA
 
Thanks for the update! Are you able to explain the data in an easy way? Where to look at exactly?
I found a blog that offers good explanations in "layman's terms" (of which I am one, hah):
The first link explains what the numbers are actually mean (the Oracle 4 section is towards the bottom of the webpage): Genealogical Musings: Finally! A Gedmatch Admixture Guide!

"Using 1 population approximation works the same as Single Population Sharing in Oracle, but I’ve noticed the results are sometimes different, so they’re obviously using a slightly different calculation. Reading the results works the same though: they are showing you a list of specific populations you most closely match, with the distant showing you just how closely you match. Again, this is intended for people whose ancestors all come from the same population."

Which in this UID's case means that she most closely matches the Italian Jewish population in the database.

"Using 4 population approximation uses a combination of 4 specific populations you most closely match and lists your top 20 combos. This was designed for people who have 4 grandparents from 4 different places but it can sometimes also work well if most of your ancestry is mainly from 4 different places/populations (because it does not include percentages)."

This is why there will be some odd 4 population results like Grundy County Jane Doe's top result being 2 Yoruban grandparents, 1 Mankena (both West African peoples), and 1 Hungarian (?!) grandparent respectively. Meanwhile, none of her 1 population results are Hungarian. This is likely due to her ancestry being very concentrated among Yoruban and Bantu peoples.
04-grundy.jpg

Note that this UID's 4 population approximation matches are not from 4 different places/populations. With her closest match being 2 Italian Jewish grandparents and 2 Ashkenazi Jewish grandparents, (and her second and third closest matches both have 3 Italian Jewish grandparents!). Based on looking at other UID Oracle 4 population approximation results, it is very unusual for someone's closest 1 population and 4 population approximation results to match up as much as they do for this Jane Doe. For example, Mowry Wetlands Jane Doe's top 1 population result is South Dutch (Irish being her 9th closest), while her top 4 population result is 3 Irish grandparents and 1 Romanian grandparent.
04-Mowry.jpg

The second is an analysis of how to interpret results:
Genealogical Musings: An Oracle Analysis

"Firstly, it's important to remember that the results can be very speculative and it's best not to take them very literally. People in neighboring regions simply share too much DNA to always be able to tell them apart with accuracy. That means the more narrowed down the areas are in the result, the more speculative it is. You could be German, for example, and get French results because they are neighboring countries who share a lot of DNA. It doesn't mean you're French, it just means this particular calculator put that French/German shared DNA into French instead of German."

Relevant to Unidentified persons: "If you are adopted and don't know your ancestral background, it's difficult to know which calculators will be more accurate than others. You should definitely still take all this with a grain of salt, but it is fun to examine and compare with what we do know."
 
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I found a blog that offers good explanations in "layman's terms" (of which I am one, hah):
The first link explains what the numbers are actually mean (the Oracle 4 section is towards the bottom of the webpage): Genealogical Musings: Finally! A Gedmatch Admixture Guide!

"Using 1 population approximation works the same as Single Population Sharing in Oracle, but I’ve noticed the results are sometimes different, so they’re obviously using a slightly different calculation. Reading the results works the same though: they are showing you a list of specific populations you most closely match, with the distant showing you just how closely you match. Again, this is intended for people whose ancestors all come from the same population."

Which in this UID's case means that she most closely matches the Italian Jewish population in the database.

"Using 4 population approximation uses a combination of 4 specific populations you most closely match and lists your top 20 combos. This was designed for people who have 4 grandparents from 4 different places but it can sometimes also work well if most of your ancestry is mainly from 4 different places/populations (because it does not include percentages)."

This is why there will be some odd 4 population results like Grundy County Jane Doe's top result being 2 Yoruban grandparents, 1 Mankena (both West African peoples), and 1 Hungarian (?!) grandparent respectively. Meanwhile, none of her 1 population results are Hungarian. This is likely due to her ancestry being very concentrated among Yoruban and Bantu peoples.
04-grundy.jpg

Note that this UID's 4 population approximation matches are not from 4 different places/populations. With her closest match being 2 Italian Jewish grandparents and 2 Ashkenazi Jewish grandparents, (and her second and third closest matches both have 3 Italian Jewish grandparents!). Based on looking at other UID Oracle 4 population approximation results, it is very unusual for someone's closest 1 population and 4 population approximation results to match up as much as they do for this Jane Doe. For example, Mowry Wetlands Jane Doe's top 1 population result is South Dutch (Irish being her 9th closest), while her top 4 population result is 3 Irish grandparents and 1 Romanian grandparent.
04-Mowry.jpg

The second is an analysis of how to interpret results:
Genealogical Musings: An Oracle Analysis

"Firstly, it's important to remember that the results can be very speculative and it's best not to take them very literally. People in neighboring regions simply share too much DNA to always be able to tell them apart with accuracy. That means the more narrowed down the areas are in the result, the more speculative it is. You could be German, for example, and get French results because they are neighboring countries who share a lot of DNA. It doesn't mean you're French, it just means this particular calculator put that French/German shared DNA into French instead of German."

Relevant to Unidentified persons: "If you are adopted and don't know your ancestral background, it's difficult to know which calculators will be more accurate than others. You should definitely still take all this with a grain of salt, but it is fun to examine and compare with what we do know."

Wow...thank you...I really need time to take this in.
 
That is true, the Oracle is a statistical estimate.

However, from all the evidence combined (number of matches, number of matches with family trees, ethnicity estimate on eu13 and her Oracle) she is with absolute certainty Ashkenazi Jewish.

If I compare her to the other two Ashkenazi UIDs (Kern 2011 and Jonesport), her profile is very slightly different, which indicates a different Ashkenazi origin. I suspect both, Kern and Jonesport are of Russian or maybe Polish Ashkenazi Jewish descent, while Reservation Road JD may be of Hungarian or Galician Ashkenazi Jewish descent, but time will tell.
But all 3 are of fully Ashkenazi heritage. If someone has only one Ashkenazi parent or grandparent, the admixes look different.
 
Looong shot but what about Eddy Milta Segall? Disappeared in 1979 from NH. Which is on the other end of the continent and it is believed she is buried somewhere close, because her car was found in the area, so it is really unlikely it is her, but hey, worth a try... not many Jewish ladies reported missing around that timeframe...

Eddy Milta Segall – The Charley Project
 

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