Invisible Women: Exposing Data Bias in a World Designed for Men

Caroline Criado Perez details how a chronic lack of sex-disaggregated data creates a world shaped by a male default. She presents evidence showing that snow-clearing schedules, office temperatures, and the size of smartphones are calibrated for men, often at the expense of women’s time and comfort. The book focuses on the "gender data gap" in medical research and automotive safety, explaining how crash-test dummies and clinical trials frequently ignore female physiology. These omissions lead to higher injury rates for women in car accidents and misdiagnosed heart attacks in emergency rooms.

This book serves readers interested in sociology, urban planning, and data science who want to understand how structural inequality is baked into technical systems. It provides a framework for identifying where information is missing and how that absence influences policy and product design. Readers gain a specific vocabulary for discussing systemic bias and a clearer view of the hidden data gaps that affect public safety and economic participation. After reading, one can more easily spot the invisible physical and digital barriers that treat half the population as a deviation from the norm.

Deep, outward-looking, contemplative and clear-cut; a moderate read.

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