Vahaduo Multi Results GTFH

KeepCopingLads

KeepCopingLads

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As some of you may know, I am Afghan Tajik from Jalalabad, Afghanistan
After getting my shitty broad AncestryDNA results (which were 95% Hindu kush blah blah, 2% indo gangetic plain, 3% southwestern india)
I decided to try out vahaduo, i originally was going to use qpAdm but i genuinely couldn't figure it out
with the help of GPT I did multi and distance
with distance (measure of genetic differences between two populations, a lower distance means higher similarity), pakistani and eastern afghan pashtuns were up there with brahmin punjabs etc
distance dosen/t necessarily confirm which ethnicity you are or ethnic breakdown which is where multi comes into play
with multi i did:
cycles: 4x
fast mode: no
add dist col: no
print zeroes: no
aggregate: no for first run and yes for second run (i'll elaborate later)

on the first run i did:
Tajik_Afghanistan
Pashtun_Afghanistan
Tajik_Afghanistan
Pashtun_Pakistan
Kohistani
Hazara
Uzbek
and I got
1771272966183


for the second run i did all tajik, pashtun, kohistani, uzbek and hazara populations (since they slightly differ between regions/cities within countries)
1771273090511

if someone can help me actually read the tables i would appreciate it
(aslo aggregate combines similar populations which was why i enabled it in the second run)
@pashtunnigga1
@Ghoulish
@FlotPSL
@iwannabeloved2
@Ghost Philosophy

(I will also be forking over 23£ for illustrative DNA so stay tuned ig)
 
Last edited:
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KeepCopingLads said:
As some of you may know, I am Afghan Tajik from Jalalabad, Afghanistan
After getting my shitty broad AncestryDNA results (which were 95% Hindu kush blah blah, 2% indo gangetic plain, 3% southwestern india)
I decided to try out vahaduo, i originally was going to use qpAdm but i genuinely couldn't figure it out
with the help of GPT I did multi and distance
with distance (measure of genetic differences between two populations, a lower distance means higher similarity), pakistani and eastern afghan pashtuns were up there with brahmin punjabs etc
distance dosen/t necessarily confirm which ethnicity you are or ethnic breakdown which is where multi comes into play
with multi i did:
cycles: 4x
fast mode: no
add dist col: no
print zeroes: no
aggregate: no for first run and yes for second run (i'll elaborate later)

on the first run i did:
Tajik_Afghanistan
Pashtun_Afghanistan
Tajik_Afghanistan
Pashtun_Pakistan
Kohistani
Hazara
Uzbek
and I got
View attachment 4664442

for the second run i did all tajik, pashtun, kohistani, uzbek and hazara populations (since they slightly differ between regions/cities within countries)
View attachment 4664452
if someone can help me actually read the tables i would appreciate it
(aslo aggregate combines similar populations which was why i enabled it in the second run)
@pashtunnigga1
@Ghoulish
@FlotPSL
@iwannabeloved2
@Ghost Philosophy

(I will also be forking over 23£ for illustrative DNA so stay tuned ig)
Click to expand...
lil update:
according to gpt

4️⃣ Why it’s not surprising​

  • Many eastern Afghan Tajiks and some Pashtuns in Nangarhar/North Kunar show ~30–50% Kohistani-like ancestry in G25 models
  • This is ancient shared ancestry from the highlands — not a recent migration.

⚡ Key Takeaways​

  • 45% Kohistani ≈ strong South-Central Asian highland ancestry
  • Doesn’t mean you are ethnically Kohistani
  • Confirms that Jalalabad Tajiks carry a mixture of local Dardic/highland ancestry + Eastern Iranian layers
 
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KeepCopingLads said:
on the first run i did:
Tajik_Afghanistan
Pashtun_Afghanistan
Tajik_Afghanistan
Pashtun_Pakistan
Kohistani
Hazara
Uzbek

if someone can help me actually read the tables i would appreciate it
Click to expand...
yes.
This
 
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should I post my DNA results on here ? i’m the most germanic Aryan Mogger
 
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KeepCopingLads said:
As some of you may know, I am Afghan Tajik from Jalalabad, Afghanistan
After getting my shitty broad AncestryDNA results (which were 95% Hindu kush blah blah, 2% indo gangetic plain, 3% southwestern india)
I decided to try out vahaduo, i originally was going to use qpAdm but i genuinely couldn't figure it out
with the help of GPT I did multi and distance
with distance (measure of genetic differences between two populations, a lower distance means higher similarity), pakistani and eastern afghan pashtuns were up there with brahmin punjabs etc
distance dosen/t necessarily confirm which ethnicity you are or ethnic breakdown which is where multi comes into play
with multi i did:
cycles: 4x
fast mode: no
add dist col: no
print zeroes: no
aggregate: no for first run and yes for second run (i'll elaborate later)

on the first run i did:
Tajik_Afghanistan
Pashtun_Afghanistan
Tajik_Afghanistan
Pashtun_Pakistan
Kohistani
Hazara
Uzbek
and I got
View attachment 4664442

for the second run i did all tajik, pashtun, kohistani, uzbek and hazara populations (since they slightly differ between regions/cities within countries)
View attachment 4664452
if someone can help me actually read the tables i would appreciate it
(aslo aggregate combines similar populations which was why i enabled it in the second run)
@pashtunnigga1
@Ghoulish
@FlotPSL
@iwannabeloved2
@Ghost Philosophy

(I will also be forking over 23£ for illustrative DNA so stay tuned ig)
Click to expand...
bro buy g25 from davisdski if u care abt g25 but overall qpadm is better find a guy from ur ethnicity with good qpadm model and let him do it for you
 
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KeepCopingLads said:
As some of you may know, I am Afghan Tajik from Jalalabad, Afghanistan
After getting my shitty broad AncestryDNA results (which were 95% Hindu kush blah blah, 2% indo gangetic plain, 3% southwestern india)
I decided to try out vahaduo, i originally was going to use qpAdm but i genuinely couldn't figure it out
with the help of GPT I did multi and distance
with distance (measure of genetic differences between two populations, a lower distance means higher similarity), pakistani and eastern afghan pashtuns were up there with brahmin punjabs etc
distance dosen/t necessarily confirm which ethnicity you are or ethnic breakdown which is where multi comes into play
with multi i did:
cycles: 4x
fast mode: no
add dist col: no
print zeroes: no
aggregate: no for first run and yes for second run (i'll elaborate later)

on the first run i did:
Tajik_Afghanistan
Pashtun_Afghanistan
Tajik_Afghanistan
Pashtun_Pakistan
Kohistani
Hazara
Uzbek
and I got
View attachment 4664442

for the second run i did all tajik, pashtun, kohistani, uzbek and hazara populations (since they slightly differ between regions/cities within countries)
View attachment 4664452
if someone can help me actually read the tables i would appreciate it
(aslo aggregate combines similar populations which was why i enabled it in the second run)
@pashtunnigga1
@Ghoulish
@FlotPSL
@iwannabeloved2
@Ghost Philosophy

(I will also be forking over 23£ for illustrative DNA so stay tuned ig)
Click to expand...
this shit is mostly useless
you need the shit w like yamnaya and chg wtv
 
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registerfasterusing said:
It has to correlate w your own results
Looks like you’re using scaled from the photos above so go w that
Click to expand...
yh but i also have my unscaled ones but gpt said to stick with scaled ✌🏿
 
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