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The 4 Pillars of Attractiveness:
1. Harmony (undisputed)
2. Dimorphism (interchangeable with 3, 4)
3. Angularity (interchangeable with 2, 4)
4. Miscellaneous (interchangeable with 2, 3)
Depending on the formula, this is how the pillars may be ranked by importance. You give each of them a score out of 10 and multiply them by a decimal to get a face score.
Personally I do:
Harmony - 0.34, Dimo - 0.22, Angularity - 0.22, Misc - 0.22
1. Harmony (undisputed)
2. Dimorphism (interchangeable with 3, 4)
3. Angularity (interchangeable with 2, 4)
4. Miscellaneous (interchangeable with 2, 3)
Depending on the formula, this is how the pillars may be ranked by importance. You give each of them a score out of 10 and multiply them by a decimal to get a face score.
Personally I do:
Harmony - 0.34, Dimo - 0.22, Angularity - 0.22, Misc - 0.22
1. Harmony
In short, facial harmony is how balanced and proportionate your face is. It uses ratios and math to measure how each feature on your face interacts with other features.
There are many ratios depending on what formula you use as it could up to as high as 40 or more purely off the front profile. Every ratio has a different level of importance.
There are two profiles measured for harmony; front profile and side profile. The frontal profile should always be more important than the side profile no matter the formula. Personally, I weigh frontal harmony as 66.7% of your total harmony and side harmony as 33.3%.
Important ratios include:
ESR, FWHR, Facial Thirds, Canthal Tilt, TFWHR Midface Ratio, Bigonial-Bizygo, etc.
In short, facial harmony is how balanced and proportionate your face is. It uses ratios and math to measure how each feature on your face interacts with other features.
There are many ratios depending on what formula you use as it could up to as high as 40 or more purely off the front profile. Every ratio has a different level of importance.
There are two profiles measured for harmony; front profile and side profile. The frontal profile should always be more important than the side profile no matter the formula. Personally, I weigh frontal harmony as 66.7% of your total harmony and side harmony as 33.3%.
Important ratios include:
ESR, FWHR, Facial Thirds, Canthal Tilt, TFWHR Midface Ratio, Bigonial-Bizygo, etc.
2. Dimorphism
Facial dimorphism is basically just how masculine or feminine your face looks based off your gender. It is largely affected by your harmony and angularity with even miscellaneous features playing a role as well. Most of it is determined by your bone structure though.
This is the pillar that differs most between genders (obviously) and contributes most to your archetype.
Important dimorphism markers include3
Ratios include Bigonial-Bizygo, Brow Height, Mouth-Nose, Facial Thirds, TFWHR, etc.
Other markers include Chin Squareness, Eye Shape, Nose Tip, Gonion Flare, etc.
Facial dimorphism is basically just how masculine or feminine your face looks based off your gender. It is largely affected by your harmony and angularity with even miscellaneous features playing a role as well. Most of it is determined by your bone structure though.
This is the pillar that differs most between genders (obviously) and contributes most to your archetype.
Important dimorphism markers include3
Ratios include Bigonial-Bizygo, Brow Height, Mouth-Nose, Facial Thirds, TFWHR, etc.
Other markers include Chin Squareness, Eye Shape, Nose Tip, Gonion Flare, etc.
3. Angularity
Facial angularity is based on three main factors; leanness, bone protrusion, and facial contours. In short, it describes how sharp your face is.
It plays a large role in dimorphism because men and women are healthiest at different body fat percentages. Men are healthier between 10%-15% body fat while women are healthier between 18%-21% body fat. Body fat percentage is obviously a huge deal in angularity.
Important angularity markers include:
Buccal Fat, Submental Fat, Eye Angularity, Nose Contour, etc.
Facial angularity is based on three main factors; leanness, bone protrusion, and facial contours. In short, it describes how sharp your face is.
It plays a large role in dimorphism because men and women are healthiest at different body fat percentages. Men are healthier between 10%-15% body fat while women are healthier between 18%-21% body fat. Body fat percentage is obviously a huge deal in angularity.
Important angularity markers include:
Buccal Fat, Submental Fat, Eye Angularity, Nose Contour, etc.
4. Miscellaneous Features
Miscellaneous features, the 2nd most complex pillar, includes many different markers. It consists of your health indicators and basically describes how healthy your face looks.
It’s probably the easiest pillar to change aside from angularity, although it depends.
Important miscellaneous features include:
Skin Quality, Hair Quality (Eyebrows and Eyelashes included), Upper Eyelid Exposure, Contrast, Under Eye Quality, etc.
Miscellaneous features, the 2nd most complex pillar, includes many different markers. It consists of your health indicators and basically describes how healthy your face looks.
It’s probably the easiest pillar to change aside from angularity, although it depends.
Important miscellaneous features include:
Skin Quality, Hair Quality (Eyebrows and Eyelashes included), Upper Eyelid Exposure, Contrast, Under Eye Quality, etc.
Looks Penalty
This may be a new thing to many of you guys as it is not commonly used by traditional analysts. I believe it was an idea first originating off of an .org thread although I don’t remember which.
It is a penalty imposed for differences between pillar scores. You take the lowest pillar score, subtract it from the highest pillar score, and then divide it by 2 or 4 depending on how harsh you want to be (I’d do 4 personally). You then take this number and subtract it from the overall score.
Personal Formula:
((Harmony x 0.34) + (Dimorphism x 0.22) + (Angularity x 0.22) + (Miscellaneous Features x 0.22)) - ((Highest Pillar - Lowest Pillar)/4)
For Example: Harmony - 7, Dimo - 6, Angularity - 3, Misc - 6
Traditionally, this would be a 5.68.
((7 x 0.34) + (6 x 0.22) + (3 x 0.22) + (6 x 0.22)) = 5.68
But using a 1/4th looks penalty, this would be a 4.68.
((7 x 0.34) + (6 x 0.22) + (3 x 0.22) + (6 x 0.22)) - ((7 - 3)/4) = 4.68
Note: This may be too harsh to implement as is. I personally find the algorithm below as a rough way to equalize each penalty. (It’s not perfect at all)
If Difference <= 3.5
Total Score - (Difference / (Difference + 3))
If Difference >= 3.6
Total Score - (Difference / (Difference + 1.5))
If Difference = 5
Total Score - (Difference / Difference)
If Difference >= 5.1
Total Score - (Difference / (Difference - 1.5))
If Difference <= 6.6
Total Score - (Difference / (Difference - 3))
This may be a new thing to many of you guys as it is not commonly used by traditional analysts. I believe it was an idea first originating off of an .org thread although I don’t remember which.
It is a penalty imposed for differences between pillar scores. You take the lowest pillar score, subtract it from the highest pillar score, and then divide it by 2 or 4 depending on how harsh you want to be (I’d do 4 personally). You then take this number and subtract it from the overall score.
Personal Formula:
((Harmony x 0.34) + (Dimorphism x 0.22) + (Angularity x 0.22) + (Miscellaneous Features x 0.22)) - ((Highest Pillar - Lowest Pillar)/4)
For Example: Harmony - 7, Dimo - 6, Angularity - 3, Misc - 6
Traditionally, this would be a 5.68.
((7 x 0.34) + (6 x 0.22) + (3 x 0.22) + (6 x 0.22)) = 5.68
But using a 1/4th looks penalty, this would be a 4.68.
((7 x 0.34) + (6 x 0.22) + (3 x 0.22) + (6 x 0.22)) - ((7 - 3)/4) = 4.68
Note: This may be too harsh to implement as is. I personally find the algorithm below as a rough way to equalize each penalty. (It’s not perfect at all)
If Difference <= 3.5
Total Score - (Difference / (Difference + 3))
If Difference >= 3.6
Total Score - (Difference / (Difference + 1.5))
If Difference = 5
Total Score - (Difference / Difference)
If Difference >= 5.1
Total Score - (Difference / (Difference - 1.5))
If Difference <= 6.6
Total Score - (Difference / (Difference - 3))
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