You've been lied to about Globular Amphora Culture

[AndreiDNA]

[AndreiDNA]

[Vessna]

I am very skeptical regarding your phenotype predictions after it predicted olive/dark skin and some sort of Armenoid phenotype for me.

[AndreiDNA]

I am very skeptical regarding your phenotype predictions after it predicted olive/dark skin and some sort of Armenoid phenotype for me.

are you also skeptical of hirisplex? i didnt rely on my phenotype predictor at all in the video, only hirisplex. Also the phenotype predictor is separate from NOSHACOT. my NOSHACOT predictions are the best out of every tool that exists.

Also if you scored olive skin with my tool, you'd also score it with other tools that exist, such as hirisplex. have you tried running yourself through it?

[AndreiDNA]

I am very skeptical regarding your phenotype predictions after it predicted olive/dark skin and some sort of Armenoid phenotype for me.

I just found your report. Had to search through my email sent folder pretty far back to find it. You didn't score Armenoid at all. Your closest 2 way was Norid + pamirid which is very possible for a belarusian.
You also didnt score dark skin. Your result was 96% olive for skin tone.
I entered in some of your genotypes from the NOSHACOT table on your trait predictor report into the online hirisplex prediction website. Since I didnt store your DNA file anywhere, I had to manually enter some of your genotypes into hirisplex.
This is what you score with hirisplex:
p-value AUC Loss
blue eye 0.12 0.002
intermediate eye 0.143 0.006
brown eye 0.738 0.002
blond hair 0.405 0.015
brown hair 0.451 0.014
red hair 0.007 0.052
black hair 0.137 0.003
light hair 0.755 0.001
dark hair 0.245 0.001
very pale skin 0.008 0.03
pale skin 0.266 0.022
intermediate skin 0.708 0.04
dark skin 0.015 0.008
dark to black skin 0.003 0.005
Now let's compare that with your trait predictor result:
Eye color likelyhood distribution based on whole genome data:
Blue eyes : 0.233%

Blue eyes with Amber Center Ring : 22.125%

Green eyes : 12.620%

Hazel Eyes : 48.973%

Brown Eyes : 15.805%

Darkest Brown Eyes : 0.244%

Hair color likelyhood distribution based on whole genome data:

Red hair : 0.049%

Light Blond hair : 0.007%

Dark Blond hair : 0.027%

Light Brown hair : 5.373%

Dark Brown hair : 93.775%

Black hair : 0.768%

Skin color likelyhood distribution based on whole genome data:
Palest Skin : 0.283%

White Skin : 1.249%

Olive or Mediterranean Skin : 96.648%

Light Brown Skin : 1.819%

Dark Brown Skin : 0.000%

Hair Texture:

Straight hair : 35.177%

Wavy hair : 43.057%

Curly hair : 21.620%

Kinky hair : 0.146%

Nose Shape:

'Greek' nose shape likelyhood : 75.315 %

'Snub' nose shape likelyhood : 24.685 %

Seems like they match pretty well!
In fact your result with trait predictor is pretty much exactly the same as with hirisplex.
And it would be the same with any other good tool you would use.

[Vessna]

I just found your report. Had to search through my email sent folder pretty far back to find it. You didn't score Armenoid at all. Your closest 2 way was Norid + pamirid which is very possible for a belarusian.
You also didnt score dark skin. Your result was 96% olive for skin tone.
I entered in some of your genotypes from the NOSHACOT table on your trait predictor report into the online hirisplex prediction website. Since I didnt store your DNA file anywhere, I had to manually enter some of your genotypes into hirisplex.
This is what you score with hirisplex:
p-value AUC Loss
blue eye 0.12 0.002
intermediate eye 0.143 0.006
brown eye 0.738 0.002
blond hair 0.405 0.015
brown hair 0.451 0.014
red hair 0.007 0.052
black hair 0.137 0.003
light hair 0.755 0.001
dark hair 0.245 0.001
very pale skin 0.008 0.03
pale skin 0.266 0.022
intermediate skin 0.708 0.04
dark skin 0.015 0.008
dark to black skin 0.003 0.005
Now let's compare that with your trait predictor result:
Eye color likelyhood distribution based on whole genome data:
Blue eyes : 0.233%

Blue eyes with Amber Center Ring : 22.125%

Green eyes : 12.620%

Hazel Eyes : 48.973%

Brown Eyes : 15.805%

Darkest Brown Eyes : 0.244%

Hair color likelyhood distribution based on whole genome data:

Red hair : 0.049%

Light Blond hair : 0.007%

Dark Blond hair : 0.027%

Light Brown hair : 5.373%

Dark Brown hair : 93.775%

Black hair : 0.768%

Skin color likelyhood distribution based on whole genome data:
Palest Skin : 0.283%

White Skin : 1.249%

Olive or Mediterranean Skin : 96.648%

Light Brown Skin : 1.819%

Dark Brown Skin : 0.000%

Hair Texture:

Straight hair : 35.177%

Wavy hair : 43.057%

Curly hair : 21.620%

Kinky hair : 0.146%

Nose Shape:

'Greek' nose shape likelyhood : 75.315 %

'Snub' nose shape likelyhood : 24.685 %

Seems like they match pretty well!
In fact your result with trait predictor is pretty much exactly the same as with hirisplex.
And it would be the same with any other good tool you would use.

Match pretty well with what? I don’t have dark brown hair nor I have olive/Mediterranean skin. My eyes are green hazel, that’s probably the only correct thing in this report. 23andMe actually predicted everything correctly: hazel eyes, fair/light skin, dark blonde/light brown hair.

[Vessna]

You also predicted blonde hair and white/light skin for my husband where in reality he has intermediate skin that tans unlike mine that burns, and he has medium to dark brown hair.

[Vessna]

My “Mediterranean” skin

[AndreiDNA]

Match pretty well with what? I don’t have dark brown hair nor I have olive/Mediterranean skin. My eyes are green hazel, that’s probably the only correct thing in this report. 23andMe actually predicted everything correctly: hazel eyes, fair/light skin, dark blonde/light brown hair.

Let's do a side by side
Skin color: my tool predicted olive, hirisplex predicted intermediate (also olive)
Hair color: my tool predicted dark brown, hirisplex predicted brown (hirisplex is closer here)
Eye color: my tool predicted hazel, hirisplex predicted brown (my tool is closer)

For different people, different tools will work better. My tool is better for most. Sorry you didn't get what you were looking for, but don't try to discredit what I created by lying about your results!

"You also predicted blonde hair and white/light skin for my husband where in reality he has intermediate skin that tans unlike mine that burns, and he has medium to dark brown hair."
the prediction for your husband was split between dark blond and light brown. Saying it was just "blond" is a bit incorrect.
Also, your husband scores this with hirisplex:
p-value AUC Loss
blue eye 0.848 0
intermediate eye 0.088 0
brown eye 0.065 0
blond hair 0.704 0.017
brown hair 0.25 0.019
red hair 0.019 0.071
black hair 0.028 0.007
light hair 0.959 0.005
dark hair 0.041 0.005
very pale skin 0.021 0.036
pale skin 0.469 0.02
intermediate skin 0.506 0.04
dark skin 0.003 0.006
dark to black skin 0 0.004

Let's compare your husbands results with hirisplex vs my tool now.
Eyes: hirisplex: blue, my tool: green
Hair: hirisplex: light blond, my tool: dark blond to light brown
Skin: hirisplex: intermediate to pale, my tool: White.

Once again, my tool isn't any worse than hirisplex for your husband.
But thats just you and your husband. For myself, noshacot is much better than hirisplex.

I score blond hair, just like your husband, with hirisplex, but light brown with my tool
I score blue eyes with hirisplex, but green/blue with amber center with my tool
Guess what, my hair is light brown and my eyes are green.

Statistically speaking my tool is better than hirisplex in most cases. Once again, sorry you didn't like your result, but my tool isn't any worse than its competitors.

[Vessna]

Let's do a side by side
Skin color: my tool predicted olive, hirisplex predicted intermediate (also olive)
Hair color: my tool predicted dark brown, hirisplex predicted brown (hirisplex is closer here)
Eye color: my tool predicted hazel, hirisplex predicted brown (my tool is closer)

For different people, different tools will work better. My tool is better for most. Sorry you didn't get what you were looking for, but don't try to discredit what I created by lying about your results!

"You also predicted blonde hair and white/light skin for my husband where in reality he has intermediate skin that tans unlike mine that burns, and he has medium to dark brown hair."
the prediction for your husband was split between dark blond and light brown. Saying it was just "blond" is a bit incorrect.
Also, your husband scores this with hirisplex:
p-value AUC Loss
blue eye 0.848 0
intermediate eye 0.088 0
brown eye 0.065 0
blond hair 0.704 0.017
brown hair 0.25 0.019
red hair 0.019 0.071
black hair 0.028 0.007
light hair 0.959 0.005
dark hair 0.041 0.005
very pale skin 0.021 0.036
pale skin 0.469 0.02
intermediate skin 0.506 0.04
dark skin 0.003 0.006
dark to black skin 0 0.004

Let's compare your husbands results with hirisplex vs my tool now.
Eyes: hirisplex: blue, my tool: green
Hair: hirisplex: light blond, my tool: dark blond to light brown
Skin: hirisplex: intermediate to pale, my tool: White.

Once again, my tool isn't any worse than hirisplex for your husband.
But thats just you and your husband. For myself, noshacot is much better than hirisplex.

I score blond hair, just like your husband, with hirisplex, but light brown with my tool
I score blue eyes with hirisplex, but green/blue with amber center with my tool
Guess what, my hair is light brown and my eyes are green.

Statistically speaking my tool is better than hirisplex in most cases. Once again, sorry you didn't like your result, but my tool isn't any worse than its competitors.

I’m not sure why you’re accusing me of lying. My 23andMe report literally states that my genetics make me “most likely to have lighter skin.” It assigns a combined 71% probability to very fair and moderately fair skin, 25% to light beige skin, and only 3% to olive skin.

That’s why I said 23andMe was more accurate in my case. I’m fair-skinned and burn easily. We can disagree about which model performs better overall, but my interpretation of my own report is consistent with the results shown.