Kang Muslim
For decades, the global fashion industry has faced intense public scrutiny regarding its promotion of unattainable body ideals and its lack of ethnic representation. In recent years, a wave of "body positivity" campaigns and the emergence of "plus-size" supermodels suggested a fundamental shift toward a more inclusive aesthetic. However, a comprehensive new study published in the Proceedings of the National Academy of Sciences (PNAS) challenges this narrative of progress. The research reveals that while the industry has broadened representation at the margins, the central ideal of the female fashion model has remained exceptionally thin and remarkably unchanged for twenty-five years.
The study, titled "Cultural evolution of beauty standards," represents one of the most significant quantitative efforts to date to track the physical traits of the modeling industry. Led by Louis Boucherie of the Technical University of Denmark and the University of Copenhagen, the research team analyzed nearly 800,000 professional modeling records spanning from 2000 to 2024. Their findings suggest that the industry’s perceived evolution is largely a "symbolic diversification" rather than a structural change in beauty standards.
A Data-Driven Approach to Aesthetic Trends
Historically, attempts to measure beauty standards relied on small sample sizes, specific geographic regions, or anecdotal evidence from runway shows. To overcome these limitations, Boucherie and his colleagues from Northeastern University, Harvard Medical School, and the Complexity Science Hub in Vienna compiled a massive dataset of 793,199 records. These records were sourced from major industry portfolio platforms where modeling agencies submit verified data for casting purposes.
The dataset captured a holistic view of the industry, including runway appearances, magazine covers, editorials, and commercial advertising campaigns. Beyond basic height and weight, the researchers tracked hair color, eye color, national origin, and detailed body measurements. To assess body composition with scientific rigor, the team utilized "Relative Fat Mass" (RFM). Unlike the traditional Body Mass Index (BMI), which can be misleading due to its inability to distinguish between muscle and fat, RFM uses a ratio of height and waist circumference. Health experts increasingly favor RFM as a more accurate predictor of whole-body fat percentage, making it an ideal tool for measuring the extreme thinness characteristic of high fashion.
The Stability of the "Ideal" Body
The most striking revelation of the PNAS study is the sheer stability of the average fashion model’s measurements over a quarter-century. Despite the rise of social media activism and the "curvy" movement, the "mean" or average model body has not budged.
According to the data, between 2000 and 2024, the average female model stood between 177 and 178 centimeters (approximately 5 feet 10 inches). Her waist measurements remained constant at 60 to 61 centimeters (roughly 24 inches), and her hips stayed within the 88 to 89-centimeter range (roughly 35 inches). The only measurement that showed a consistent, albeit slight, decline was the bust circumference, which dropped from an average of 85 centimeters to 82 centimeters.
"On the mean, nothing happens. Everything is super stable," Louis Boucherie noted in the report. He explained that while the "variation" in body sizes has grown—meaning there are more models at the extreme ends of the spectrum—the "middle" remains anchored to a singular, thin archetype. This suggests that for every plus-size model hired to signal inclusivity, the industry continues to hire a vast majority of models who adhere to the traditional, ultra-thin standard.
The Burden of Diversity and Intersectionality
The study also delved into the concept of intersectionality, examining how race and body size overlap in the industry’s hiring practices. The researchers found that while racial representation has improved significantly—the share of non-white models rose from 13% in 2011 to over 40% in recent years—this diversity is not evenly distributed across body types.
The data reveals a "burden of diversity" where non-white models are disproportionately tasked with representing non-traditional body sizes. A model identified as plus-size is 4.5 times more likely to be non-white than a traditional "straight-size" model. This pattern suggests that fashion houses may be using non-white, plus-size models to fulfill two "diversity quotas" at once. By doing so, they project an image of progressiveness while maintaining a core aesthetic of extreme thinness for the majority of their talent pool, particularly their white models.
This "symbolic diversification" allows the industry to avoid a true structural broadening of beauty standards. It creates a hierarchy where the "aspirational" ideal remains thin, while diversity is relegated to a specific sub-category of the workforce.
Comparing the Runway to Reality
To provide context for these measurements, the researchers compared their modeling data against a massive health survey of American women aged 17 to 30. The results highlighted a staggering disconnect between the fashion world and the general population.
There was almost zero overlap between the body fat distribution of models and that of the average woman. Even the models categorized as "plus-size" within the fashion industry frequently possessed measurements that were below the average for the general U.S. population. "What the fashion industry calls plus-size corresponds much more closely to the average American woman," Boucherie remarked.
This discrepancy underscores the industry’s role as a creator of "hyper-aspirational" standards that are biologically unattainable for the vast majority of the population. The persistence of these standards, despite decades of public health warnings regarding body dysmorphia and eating disorders, suggests that the thin ideal is deeply baked into the economic and cultural fabric of the fashion world.
The Geography of Beauty: Phenotypic Shifts
While body measurements remained stagnant, the study did track significant shifts in other physical traits, reflecting the changing geopolitical landscape of the modeling industry. In the early 2000s, there was a visible peak in representation for models from Eastern Europe. However, as the 21st century progressed, the industry saw a marked increase in models from Sub-Saharan Africa, East Asia, and South Asia.
These geographical shifts were accompanied by changes in phenotypic distributions. The prevalence of "blonde and blue-eyed" models has declined steadily, giving way to a more globalized aesthetic featuring darker hair and eye colors. While this indicates a genuine diversification of the "face" of fashion, it serves to highlight the irony that the industry is willing to change almost every trait—except for body size.
A Tale of Two Regulations: Milan vs. Paris
The PNAS study also offered a rare empirical look at how government intervention affects industry behavior. The researchers compared the effectiveness of two different regulatory approaches aimed at protecting model health and promoting healthier body images.
In 2006, Milan Fashion Week introduced a strict numerical minimum for a model’s BMI (18.5). In contrast, a 2017 French law took a "softer" approach, requiring models to provide a doctor’s medical certificate attesting to their health, but without a specific numerical cutoff for weight or BMI.
The data suggests that policy design is critical. Following the introduction of the hard numerical threshold in Milan, there was a clear and immediate reduction in the number of extremely thin models appearing on the runway. In France, however, the more flexible, certificate-based system produced no detectable shift in body representation.
"We’re very careful not to claim causality here, but descriptively the difference between a hard threshold and a flexible system is quite striking," Boucherie stated. This finding has significant implications for policymakers worldwide who are considering how to regulate the industry’s impact on public health.
The Prestige Hierarchy and the "Thinness Premium"
The researchers also mapped out a "prestige hierarchy" by analyzing which brands shared the same elite models. They found that the most prestigious fashion houses—the "Blue Chip" brands that set global trends—consistently featured the thinnest models in the entire dataset.
Interestingly, these top-tier brands were also the most likely to hire a small number of visible plus-size models for their shows. This creates a polarized environment at the pinnacle of the fashion world: a dominant norm of extreme thinness, peppered with occasional, highly publicized "outliers." Mid-level and commercial brands, while still favoring thinness, showed slightly less polarization but also less commitment to the "outlier" diversity seen on elite runways.
This suggests that for elite brands, diversity is often a high-fashion "statement" or a trend in itself, rather than a commitment to reflecting the reality of their consumer base.
Limitations and the Future of Synthetic Media
While the study is unprecedented in scale, the authors acknowledged certain limitations. To process hundreds of thousands of images, the team relied on computer vision algorithms that used simplified categories. Gender was classified as a binary (male/female), and ethnicity was often sorted into broad categories.
"We don’t have very fine-grained racial categories in the data," Boucherie admitted. "It’s the only way to do the analysis consistently across the full dataset and over time." This categorization risks overlooking the specific experiences of non-binary individuals and the nuances within different racialized groups.
Furthermore, the study focused primarily on women’s fashion. While the researchers noted that male models also face narrow, lean, and muscular ideals, the data for men showed even less variation over time, making it more difficult to draw the same detailed statistical conclusions regarding diversity shifts.
Looking forward, the researchers expressed concern about how these entrenched standards might be replicated by artificial intelligence. As the industry moves toward using AI-generated models for advertising and catalogs, there is a risk that the "thin ideal" will be codified into algorithms, making the standard even more rigid and difficult to challenge.
Conclusion: A Call for Accountability
The PNAS study serves as a sobering reminder that visibility does not always equal progress. While the pages of Vogue and the runways of Paris may appear more diverse than they did in the year 2000, the underlying metrics tell a different story. The fashion industry has mastered the art of "performing" inclusivity at the margins while maintaining a core standard that remains as narrow as ever.
"I think people already knew there was a problem," Boucherie concluded. "What we’ve done is to quantify it. We’re just here to say that there is this problem, and then it’s the responsibility of the advertisers and the people organizing fashion shows and editing magazines to decide what to do with that information."
As the conversation around body image and representation continues to evolve, this data provides a necessary benchmark for holding the fashion industry accountable to its public promises of change. The "middle" has remained stable for twenty-five years; the question now is whether the industry possesses the will to finally move it.
