Dip3shx
IF YOU ARNT FRAUDING YOU ARNT TRYING
- Joined
- Nov 22, 2025
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I know what you are thinking... Chatgpt? JFL 
but before you get on your high horses and start trolling, I want to let you know I was in the same boat UNTIL i saw the results.... it was surprisingly accurate and somewhat grounded in reality. I did not think chatgpt could do this and I was suprised... remember this is purely facial attractiveness only, nothing else.
I used this prompt on ChatGPT to measure my own facial attractiveness as well as use control groups to make sure ChatGPT wasn't spewing bullshit:
I want to objectively assess my facial attractiveness and realistic potential using a percentile-based framework. I want all evaluations to be grounded strictly in empirical research, peer-reviewed studies, and large-scale population or media data. Do not use personal opinions, intuition, encouragement, or bias. Assume facial attractiveness follows a roughly normal distribution. Define clear percentile categories (LTN, MTN, HTN, CL, C). First, place my baseline facial attractiveness, then estimate how non-surgical improvements affect my ranking, and finally assess my realistic upper limit with surgery and full optimisation. Use real-world calibration points (e.g., well-known actors/streamers) to anchor the scale. Be conservative, realistic, and data-driven at every step.
If you don't believe me then you can try it out for yourself and tell me the results you get. One thing though is that I try and be safe and type "BE UNBIAS AND ONLY USE RESEARCH AND REPUTABLE SOURCES AND DO NOT MAKE ANY JUDGEMENT CALLS OR BIAS OPINIONS AT ALL. Use purely data only." at the end and you should probably do that as well.
PERCENTILE POINTS THAT CORRESPOND TO RANKINGS:
This is the statistical extreme. Very few people occupy this range. Most were already highly attractive before any intervention.....
I did 5 tests,
1. myself
2. Tom Welling
3. Ian Somerhalder
4. clavicular
5. I needed someone for every catagory so I asked chatgpt and it said "Tom Holland". This might be controversial ngl
for myself, i got HLTN:
which is exactly what i get from 99% of people in this sub as well as other places, so it was very accurate...
For Tom Welling this is what it showed:
This is obviously water but again its nice to see chatgpt isnt a complete retard JFL
Ian somerhalder:
Again, water, but it is interesting to note that ChatGPT rated Ian a tad bit higher than welling which is interesting.
Now here is the MOST INTERESTING PART

:
Clavicular:
Tom Holland: ( Again, I honestly don't particularly agree with this rating let me know what you guys think)
CONCLUSION: Before anything else, I want to preface that this is still not 100% accurate and ChatGPT can be retarded at time but I do believe that if we tweak the prompt a bit, we might be able to make it more accurate. Let me know what else I should prompt chatgpt with in order to get the most accurate results. I genuinely believe that using this prompt, you can get ballpark results of where you lie on the attractiveness scale espeically if you combine this with other data like your rating in .org or other places etc. Let me know how it goes...
I used this prompt on ChatGPT to measure my own facial attractiveness as well as use control groups to make sure ChatGPT wasn't spewing bullshit:
I want to objectively assess my facial attractiveness and realistic potential using a percentile-based framework. I want all evaluations to be grounded strictly in empirical research, peer-reviewed studies, and large-scale population or media data. Do not use personal opinions, intuition, encouragement, or bias. Assume facial attractiveness follows a roughly normal distribution. Define clear percentile categories (LTN, MTN, HTN, CL, C). First, place my baseline facial attractiveness, then estimate how non-surgical improvements affect my ranking, and finally assess my realistic upper limit with surgery and full optimisation. Use real-world calibration points (e.g., well-known actors/streamers) to anchor the scale. Be conservative, realistic, and data-driven at every step.
If you don't believe me then you can try it out for yourself and tell me the results you get. One thing though is that I try and be safe and type "BE UNBIAS AND ONLY USE RESEARCH AND REPUTABLE SOURCES AND DO NOT MAKE ANY JUDGEMENT CALLS OR BIAS OPINIONS AT ALL. Use purely data only." at the end and you should probably do that as well.
PERCENTILE POINTS THAT CORRESPOND TO RANKINGS:
Percentile → Category Mapping
sub-5
- < 50th percentile
- Bottom half of the distribution
- Below average facial attractiveness
LTN (Low-Tier Normal)
50th–59th percentile- Low LTN: 50–52
- Mid LTN: 52–55
- High LTN: 55–59
MTN (Mid-Tier Normal)
60th–75th percentile- Low MTN: 60–65
- Mid MTN: 65–70
- High MTN: 70–75
HTN (High-Tier Normal)
80th–85th percentile- Narrower band due to rarity
- Faces begin to stand out consistently
- Often noticed without effort
CL (Celebrity-Low / Cusp-Elite)
90th–92.5th percentile- Rare
- Strong memorability
- Faces that are frequently described as “very attractive”
- Competitive with many models / actors, but not the absolute elite tail
C (Celebrity / Elite)
≥ 92.5th percentile- Low C: 92.5–95
- Mid C: 95–97
- High C: 97–99
- Extreme tail: 99+
This is the statistical extreme. Very few people occupy this range. Most were already highly attractive before any intervention.....
I did 5 tests,
1. myself
2. Tom Welling
3. Ian Somerhalder
4. clavicular
5. I needed someone for every catagory so I asked chatgpt and it said "Tom Holland". This might be controversial ngl
for myself, i got HLTN:
which is exactly what i get from 99% of people in this sub as well as other places, so it was very accurate...
For Tom Welling this is what it showed:
This is obviously water but again its nice to see chatgpt isnt a complete retard JFL
Ian somerhalder:
Again, water, but it is interesting to note that ChatGPT rated Ian a tad bit higher than welling which is interesting.
Now here is the MOST INTERESTING PART
Clavicular:
Tom Holland: ( Again, I honestly don't particularly agree with this rating let me know what you guys think)
CONCLUSION: Before anything else, I want to preface that this is still not 100% accurate and ChatGPT can be retarded at time but I do believe that if we tweak the prompt a bit, we might be able to make it more accurate. Let me know what else I should prompt chatgpt with in order to get the most accurate results. I genuinely believe that using this prompt, you can get ballpark results of where you lie on the attractiveness scale espeically if you combine this with other data like your rating in .org or other places etc. Let me know how it goes...
