Résumé de Invisible Women

Caroline Criado Perez's "Invisible Women: Data Bias in a World Designed for Men" exposes the pervasive "gender data gap"—a systemic lack of data on women that renders their experiences invisible and often puts them at a disadvantage. The book meticulously demonstrates how, across countless domains, the default human being assumed in research, design, and policy is male, leading to a world that fundamentally fails to account for half of the population. Criado Perez illustrates this bias with extensive, global examples. In healthcare, women are frequently misdiagnosed, receive incorrect drug dosages, and have heart attack symptoms dismissed due to clinical trials and medical knowledge being primarily based on male physiology. The workplace is also highlighted, with office temperatures set for male metabolic rates, safety equipment designed for male bodies, and even crash test dummies representing the average male, meaning cars are inherently less safe for women. Beyond physical spaces, the book delves into how this data gap impacts urban planning, public transport design, sanitation, and even disaster relief, often neglecting women's unique needs and safety concerns. Furthermore, it scrutinizes technology and artificial intelligence, revealing how biased datasets lead to algorithms that fail to recognize female voices, perpetuate gender stereotypes, or offer unequal access to opportunities. Ultimately, "Invisible Women" is a powerful argument for the critical importance of collecting gender-disaggregated data, demonstrating that this absence of information is not benign, but actively shapes a world that systematically overlooks, undervalues, and endangers women.