Statistics of the Results

Since launching, our AI has analyzed over a million faces from users around the world. This vast dataset offers a unique opportunity to explore the trends and patterns in how attractiveness is perceived. In this post, we'll share some of the key statistical insights from our anonymous data, shedding light on the distribution of scores and the impact of various demographic factors.

Note: We are committed to user privacy and do not store any uploaded images; only anonymous result data is used for these analytics.

Distribution of the Attractiveness Score

Our analysis of over one million predictions reveals a fascinating distribution of attractiveness scores. The results form a normal distribution, with an average score of 6.1 and a standard deviation of 1.35. While our scale ranges from 1 to 10, the vast majority of scores fall within a predictable range around the mean, with scores below 2 being exceptionally rare.

attractiveness test model

The Impact of Gender

When we segment the data by gender, the distributions of attractiveness scores for men and women are nearly identical. This indicates that our AI evaluates faces with remarkable consistency, regardless of gender. Interestingly, our user base shows a higher participation rate from men.

attractiveness test model

Fairness and Ethnicity

A core principle in developing our AI was to ensure fairness and eliminate bias. We are proud to report that the average attractiveness scores are consistent across different ethnic groups, including Caucasian, Asian, African, and Indian users. This balance is a direct result of our commitment to training our models on diverse datasets, ensuring that our technology is inclusive and equitable for everyone.

attractiveness test model

Age Demographics

The age distribution of our users provides another layer of insight. The average predicted age of our users is 26.1 years, with a standard deviation of 8.4 years. This shows strong engagement from young adults. This data is aggregated from our associated age prediction tool, which works in tandem with our attractiveness analysis.

attractiveness test model

Final Thoughts

These statistics offer a glimpse into the large-scale patterns our AI has identified. While data can reveal trends, it's important to remember that attractiveness is a deeply personal and multifaceted quality. We encourage you to use our tool for fun and discovery, and to explore our other articles on the science of attractiveness and how to appear more attractive.

How Pretty am I?

Try our AI-powered attractiveness test - it's quick, accurate, and free!