Why Data Aggregation Masks Inequality and Vulnerability
Aggregated data often simplifies complex realities into a single number, such as a national poverty rate, an average test score, or a district-level health indicator. While these summaries support fast reporting, they also conceal inequality, mute vulnerability, and distort policy decisions. Policymakers, donors, and researchers frequently rely on aggregated indicators without examining underlying distributions. As … Read more
