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Why am I making this?
I see too many inaccurate ratings and uninformed talk about ratings within this community. I understand that there is subjectivity within the rating space at some degree, but the current rating space is much too inaccurate for it to be chalked up to that. I will be trying to give the most objective scale.
What are the ratings included here based off?
I specifically chose faces that are well-known in the community and commonly cited as this or that. Although I eye-balled a lot of ratings here, they should be non-controversial and quite accurate ratings based off community consensus.
Where are you getting these percentiles and rarities?
I'm getting them off a bell-curve with the mean as 4.5 and standard deviation as 0.625. They will vary based on where you are in the world, but globally I think 4.5 is a fair average. I do believe that 4.75 is actually average in the west and 4.25 is average in the east, so you can adjust the curve based off where you are if you intend to use this same curve. Obviously it will not be perfectly accurate, but I tried hard to make an objective curve based off what I've seen in real life. I believe this curve is accurate up until 8.0+, as faces those attractive are simply anomalies.
≥ 9 - Adamlite/Evelite, Adam/Eve Contender, etc.
The Most Attractive Face of Multiple Generations
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in ??? (I'd estimate 4,000,000,000+)
Percentile: 100th
< 9 - High Chad/Stacy
The Most Attractive Face of an Entire Generation
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in ??? (I'd estimate 750,000,000+)
Percentile: 100th
8.5 - Mid Chad/Stacy
One of The Most Attractive Faces of a Generation
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in ??? (I'd estimate 250,000,000+)
Percentile: 100th
≥ 8.0 - Low Chad/Stacy
The Most Attractive Face in a Mid-Sized Country
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in ??? (I'd estimate 25,000,000+)
Percentile: 100th
< 8.0 - High Chadlite/Stacylite
The Most Attractive Face in Hollywood (at times)
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 10,016,587 (7.75)
Percentile: 100th
7.5 - Mid Chadlite/Stacylite
Attractive Enough to Easily Become a Supermodel
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 1,258,887 (7.5)
Percentile: 100th
≥ 7.0 - Low Chadlite/Stacylite
Attractive Enough to Make a Living Purely Off Their Looks
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 31,560 (7.0), 1 in 184,606 (7.25)
Percentile: 99.99683th Percentile, 99.99946th Percentile
< 7.0 - High HTN/HTB
The Most Attractive Person at a College Campus
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 6,284 (6.75)
Percentile: 99.984th Percentile
6.5 - Mid HTN/HTB
The Most Attractive Person at a High School
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 1,455 (6.5)
Percentile: 99.93th Percentile
≥ 6.0 - Low HTN/HTB
The Most Attractive Person in a Grade
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 122 (6.0), 1 in 391 (6.25)
Percentile: 99.18th Percentile, 99.746th Percentile
< 6.0 - High MTN/MTB
The Most Attractive in a Large Classroom
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 44 (5.75)
Percentile: 97.725th Percentile
5.5 - Mid MTN/MTB
The Most Attractive in a Small Classroom
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 18 (5.5)
Percentile: 94.52th Percentile
≥ 5.0 - Low MTN/MTB
Alright-Looking
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 5 (5.0), 1 in 9 (5.25)
Percentile: 80th Percentile, 89th Percentile
< 5.0 - High LTN/LTB
Dead Average
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 2 (4.5)
Percentile: 50th Percentile
4.0 - Mid LTN/LTB
Ordinarily Ugly
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 5 (4.0)
Percentile: 21.186th Percentile
≥ 3.0 - Low LTN/LTB
Very Ugly
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 122 (3.0), 1 in 18 (3.5)
Percentile: 0.81975th Percentile, 6.48th Percentile
< 3.0 - Sub-3
Extraordinarily Ugly
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 127+ (2.99)
Percentile: 0.78460th Percentile and Lower
@Blackpillirony @Glamour @1894 @mtren @submissivechud @giga.mia @nani @benny @foidslayer @Motivated Dandelions @Nenestar @Superior @jony🖤bp @emeraldpill @vampi @ToryToad @Ladiesman217 @isntnotrepellent @nonu @Newday @BigDihDiddy ⚦ @Mia @negativ @rope_maxxer @WhitepiII @ecoli @Duchesse @zaycism @P1et @PingPong @muscipla @arisu @splanky @Pentatonic @nomi @Histy @Spongebob CirclePants @trvecel @SevenColorCrystalBall @Almighty Sigma Wolf @lazerdim @BrazilianKen @TonyDr @Huntergirl @Insomnia @Nbernical @Randomized @Starlet @draftLexy @jest @fatfuckingchud @shigeharu @Gen5ivee @Currycelloser
@kimothy @Penalizer69 @Luxe @Byro @paulyune @rand anon @FoidhaterlolllW @tragaleon @Trevor @RottingCarrie @derpy @Rebdoomark @Tealovingfool @Hibiscus @HerculesJr. @KittyBreath @Xx_Sh4tteredHe4rt_xX @nacerskates @i_got.a.lilo @broccoli @</3 @emo @TrueFakeCel @perculez @hoodsickle @Cortisol @LaWi @Foid @Garce @vespertine @kelksub @doll @grey @chudlite67 @knightmaxxer @Galvatron @bby @Mandy? @vespertine @avzrael @Bloxy @Krusty @Iblamemyeyes @iqmaxx
I see too many inaccurate ratings and uninformed talk about ratings within this community. I understand that there is subjectivity within the rating space at some degree, but the current rating space is much too inaccurate for it to be chalked up to that. I will be trying to give the most objective scale.
What are the ratings included here based off?
I specifically chose faces that are well-known in the community and commonly cited as this or that. Although I eye-balled a lot of ratings here, they should be non-controversial and quite accurate ratings based off community consensus.
Where are you getting these percentiles and rarities?
I'm getting them off a bell-curve with the mean as 4.5 and standard deviation as 0.625. They will vary based on where you are in the world, but globally I think 4.5 is a fair average. I do believe that 4.75 is actually average in the west and 4.25 is average in the east, so you can adjust the curve based off where you are if you intend to use this same curve. Obviously it will not be perfectly accurate, but I tried hard to make an objective curve based off what I've seen in real life. I believe this curve is accurate up until 8.0+, as faces those attractive are simply anomalies.
≥ 9 - Adamlite/Evelite, Adam/Eve Contender, etc.
The Most Attractive Face of Multiple Generations
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in ??? (I'd estimate 4,000,000,000+)
Percentile: 100th
< 9 - High Chad/Stacy
The Most Attractive Face of an Entire Generation
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in ??? (I'd estimate 750,000,000+)
Percentile: 100th
8.5 - Mid Chad/Stacy
One of The Most Attractive Faces of a Generation
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in ??? (I'd estimate 250,000,000+)
Percentile: 100th
≥ 8.0 - Low Chad/Stacy
The Most Attractive Face in a Mid-Sized Country
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in ??? (I'd estimate 25,000,000+)
Percentile: 100th
< 8.0 - High Chadlite/Stacylite
The Most Attractive Face in Hollywood (at times)
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 10,016,587 (7.75)
Percentile: 100th
7.5 - Mid Chadlite/Stacylite
Attractive Enough to Easily Become a Supermodel
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 1,258,887 (7.5)
Percentile: 100th
≥ 7.0 - Low Chadlite/Stacylite
Attractive Enough to Make a Living Purely Off Their Looks
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 31,560 (7.0), 1 in 184,606 (7.25)
Percentile: 99.99683th Percentile, 99.99946th Percentile
< 7.0 - High HTN/HTB
The Most Attractive Person at a College Campus
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 6,284 (6.75)
Percentile: 99.984th Percentile
6.5 - Mid HTN/HTB
The Most Attractive Person at a High School
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 1,455 (6.5)
Percentile: 99.93th Percentile
≥ 6.0 - Low HTN/HTB
The Most Attractive Person in a Grade
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 122 (6.0), 1 in 391 (6.25)
Percentile: 99.18th Percentile, 99.746th Percentile
< 6.0 - High MTN/MTB
The Most Attractive in a Large Classroom
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 44 (5.75)
Percentile: 97.725th Percentile
5.5 - Mid MTN/MTB
The Most Attractive in a Small Classroom
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 18 (5.5)
Percentile: 94.52th Percentile
≥ 5.0 - Low MTN/MTB
Alright-Looking
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 5 (5.0), 1 in 9 (5.25)
Percentile: 80th Percentile, 89th Percentile
< 5.0 - High LTN/LTB
Dead Average
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 2 (4.5)
Percentile: 50th Percentile
4.0 - Mid LTN/LTB
Ordinarily Ugly
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 5 (4.0)
Percentile: 21.186th Percentile
≥ 3.0 - Low LTN/LTB
Very Ugly
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 122 (3.0), 1 in 18 (3.5)
Percentile: 0.81975th Percentile, 6.48th Percentile
< 3.0 - Sub-3
Extraordinarily Ugly
Spoiler: Percentile/Rarity Estimates
Rarity: 1 in 127+ (2.99)
Percentile: 0.78460th Percentile and Lower
@Blackpillirony @Glamour @1894 @mtren @submissivechud @giga.mia @nani @benny @foidslayer @Motivated Dandelions @Nenestar @Superior @jony🖤bp @emeraldpill @vampi @ToryToad @Ladiesman217 @isntnotrepellent @nonu @Newday @BigDihDiddy ⚦ @Mia @negativ @rope_maxxer @WhitepiII @ecoli @Duchesse @zaycism @P1et @PingPong @muscipla @arisu @splanky @Pentatonic @nomi @Histy @Spongebob CirclePants @trvecel @SevenColorCrystalBall @Almighty Sigma Wolf @lazerdim @BrazilianKen @TonyDr @Huntergirl @Insomnia @Nbernical @Randomized @Starlet @draftLexy @jest @fatfuckingchud @shigeharu @Gen5ivee @Currycelloser
@kimothy @Penalizer69 @Luxe @Byro @paulyune @rand anon @FoidhaterlolllW @tragaleon @Trevor @RottingCarrie @derpy @Rebdoomark @Tealovingfool @Hibiscus @HerculesJr. @KittyBreath @Xx_Sh4tteredHe4rt_xX @nacerskates @i_got.a.lilo @broccoli @</3 @emo @TrueFakeCel @perculez @hoodsickle @Cortisol @LaWi @Foid @Garce @vespertine @kelksub @doll @grey @chudlite67 @knightmaxxer @Galvatron @bby @Mandy? @vespertine @avzrael @Bloxy @Krusty @Iblamemyeyes @iqmaxx
