About

FemaleBeautyStudy.com hosts a study of subjective female physical attractiveness using face-only, front, and back views. The study seeks to correlate perceived attractivness with physical characteristics and to correlate the attractiveness of the three views with each other. In addition to taking the study, participants can view their own results and can view preliminary consensus results. Includes nudity (NSFW).

Definitions (These definitions are also available as tool tips in the View Results section of the survey)

Your Overall Score - Your overall score (0 to 100) for a given model is the average of the front view score (0-100), the back view score (0-100), and the face score (0-100)

Your Front Score - To calculate your scores for the front view, your highest ranked model for front view attractiveness is given a score of 100, the lowest is given a score of 0, and the other models are assigned scores at consistent intervals based on your ranking

Your Back Score - To calculate your scores for the back view, your highest ranked model for back view attractiveness is given a score of 100, the lowest is given a score of 0, and the other models are assigned scores at consistent intervals based on your ranking

Your Face Score - To calculate your scores for the faces, your highest ranked model for face attractiveness is given a score of 100, the lowest is given a score of 0, and the other models are assigned scores at consistent intervals based on your ranking

Your Front / Back Score - Your Front / Back Score for a given model is the average of the front view and back view scores

Your Score Standard Deviation - Your Score Standard Deviation for a given model is the standard deviation of your front, back, and face scores. Low numbers indicate a close agreement of your front, back, and face scores for a model, while high value indicate the opposite

Consensus Overall Score - The Consensus Overall Score for a given model is the average of the front, back, and face scores given by all survey respondents besides you

Consensus Front Score - The Consensus Front Score for a given model is the average front score given by all survey respondents besides you

Consensus Back Score - The Consensus Back Score for a given model is the average back score given by all survey respondents besides you

Consensus Face Score - The Consensus Face Score for a given model is the average face score given by all survey respondents besides you

Consensus Front / Back Score - The Consensus Front/Back Score for a given model is the average of the front and back scores given by all survey respondents besides you

Consensus Score Standard Deviation - The Consensus Score Standard Deviation for a given model is the average standard deviation of the front, back, and face scores given by all survey respondents besides you. Low numbers indicate a close agreement of a model's front, back, and face scores, while high values indicate the opposite.

Bust - Bust Measurement is the circumference of the chest at its fullest point

Waist - Waist Measurement is the circumference of the torso at the natural indentation just above the hip bones

Hips - Hips Measurement is the circumference of the hips at the widest point

Height - The model's Height in feet and inches

Weight - The model's Weight in pounds (lbs)

Waist / Hips Ratio - Waist/Hips Ratio is the model's waist measurement divided by the hip measurement

Waist / Height Ratio - Waist / Height Ratio is the model's waist measurement divided by the model's height

Bust / Waist Ratio - Bust / Waist Ratio is the model's bust measurement divided by the waist measurement

Body Mass Index - The Body Mass Index (BMI) formula is a person's weight in kilograms divided by the square of the height in meters. BMI is a reliable indicator of body fat. A BMI of below 18.5 is considered underweight; 18.5 to under 25 is normal; 25 to under 30 is overweight; 30 and above is obese.

Leg Length / Height Ratio - Leg length is measured from the floor to the top of the femur, which is typically at the widest point of the hips. Leg length is divided by height to get the Leg Length / Height ratio.

Index - Models are assigned arbitrary numbers for reference

Spearman Rank Correlation - The Spearman rank correlation is used to test the association between two ranked variables

Pearson's r - Pearson's r (or r) is a measure of linear correlation or dependence between two variables. r will be between -1.0 and 1.0. 1.0 indicates a total positive correlation (variable 1 increases linearly as variable 2 increases). -1.0 indicates a total negative correlation (variable 1 decreases linearly as variable 2 increases). A value of 0.0 indicates no correlation.