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I came across this graph and have been trying to trace its origins. The x-axis represents how scholars perceive the importance of innate brilliance in their own discipline, based on a study by Leslie et al. (2015, Science). This survey of 1,820 postdoctoral fellows and graduate students asked whether they believed that excelling in their field requires an innate talent that cannot be taught. The y-axis reflects how Ph.D. holders rate the "scientificness" of other disciplines, drawn from a 2023 study by Bronski and Kirkegaard. This measures how brilliance is perceived externally across fields. This graph reveals a striking pattern: disciplines seen as "brilliant" by outsiders tend to be those with strong quantitative foundations. This quantification bias has far-reaching consequences-not just in how we evaluate academic disciplines but also in shaping societal priorities and the methods we use to address problems. When numbers dominate, complex human and philosophical questions risk being sidelined. As the saying goes, if you have a hammer, everything