Numerical Rating/Looks Bell Curve

Bell Curve Distribution

-3 SD: 2.9 as 0.135th percentile (1/741) Roughly Sub-3

-2 SD: 3.5 as 2.275th percentile (1/44) Roughly LLTN

-1 SD: 4.1 as 15.866th percentile (1/6) Roughly MLTN

0 SD: 4.7 as 50th percentile (1/2) Roughly HLTN

+1 SD: 5.3 as 84.134th percentile (1/6) Roughly LMTN-MMTN

+2 SD: 5.9 as 97.725th percentile (1/44) Roughly HMTN

+3 SD: 6.5 as 99.865th percentile (1/741) Exact MHTN

THE BELL CURVE IS KNOWN TO GET VERY SHAKY OVER 3 STANDARD DEVIATIONS

TAKE EVERYTHING BEYOND THIS POINT WITH A GRAIN OF SALT JFL

+4 SD: 7.1 as 99.997th percentile (1/31,560) Roughly Low Chadlite

+5 SD: 7.7 as 100th percentile (1/3,483,046) Roughly Mid to High Chadlite

+6 SD: 8.3 as 100th percentile (1/1,009,976,564) Roughly Low to Mid Chad

+7 SD: 8.9 as 100th percentile (1/776,348,841,126) Roughly High Chad

+8 SD: 9.5 as 100th percentile (1/1,501,199,875,790,165) Exact Mid Adamlite

MY THOUGHTS

I made this bell curve with the intention to give a realistic distribution of looks with the average being HLTN. I feel like it's quite accurate (in my opinion as there is no real way to know) up to the +3 SD mark, then it goes off the rails and starts giving absurd numbers that are obviously just untrue JFL. To be honest, there is no real way of finding the rarity of each numerical rating, but I feel like the bell curve is a good start if anybody else wants to try quantifying facial rarity. We would need a sample of hundreds of thousands to even millions and a very accurate rating system to actually quantify the rarity of a face, but far too many greys still think HTN is like top 10% or some bullshit, so this should give some insight.