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

Invisible Women

Exposing Data Bias in a World Designed for Men

Caroline Criado Perez
4.34 (159106 Reviews)

Invisible Women 개요

"Invisible Women" exposes the world's dangerous gender data gap. Winner of the 2019 Royal Society Science Book Prize, this #1 bestseller reveals how everything - from medicine to urban planning - overlooks women. "Required reading for decision makers everywhere," says The Times.

Invisible Women의 핵심 주제

  • gender data gap
  • default male bias
  • trip chaining
  • unpaid care work
  • systemic exclusion

Invisible Women의 명언

  • The assumption that men represent the human default runs deep.

  • Women's fear in public spaces is rooted in reality, not paranoia.

  • Errors attributing women's work to men have more lives than a cat.

  • Road-building receives lavish funding while feminized transport like buses faces cuts.

Invisible Women의 등장인물

  • Caroline Criado PerezAuthor and researcher of the gender data gap
  • Fanny HenselComposer whose work was published under her brother
  • Felix MendelssohnComposer whose name was used for his sister's work
  • Hertha AyrtonScientist who noted the erasure of women's work

저자 소개

Invisible Women의 저자 소개

Caroline Criado Perez, bestselling author of Invisible Women: Exposing Data Bias in a World Designed for Men, is an award-winning feminist writer and data equality activist. A British journalist and OBE recipient, her work focuses on systemic gender gaps in public policy, technology, and healthcare.

Invisible Women, her groundbreaking 2019 exposé of male-centric data systems, won the Royal Society Science Book Prize and Financial Times Business Book of the Year, spending 16 weeks on the Sunday Times bestseller list.

Criado Perez’s expertise stems from high-impact campaigns like securing Jane Austen’s place on UK banknotes and erecting Parliament Square’s first female statue (Millicent Fawcett). Her debut book, Do It Like a Woman, profiles global pioneers challenging gender norms. She hosts the Visible Women podcast, writes a newsletter with 35,000+ subscribers, and has been featured in The Guardian, TED Talks, and BBC News. Translated into 24 languages, Invisible Women remains a seminal text in feminist nonfiction, required reading across policymaking and academic circles worldwide.

Invisible Women 요약 다운로드

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이 책에 대한 FAQ

Invisible Women exposes systemic gender data gaps where male-centric data shapes everything from medical research to workplace policies, leading to widespread discrimination against women. Caroline Criado Pérez reveals how flawed assumptions about "default male" norms in product design, urban planning, and AI algorithms endanger women’s health, safety, and economic opportunities.

Policy makers, healthcare professionals, product designers, and business leaders will gain critical insights into gender-blind systems. Social scientists and activists can leverage its data-driven analysis to advocate for equitable reforms. It’s also essential for anyone interested in systemic bias and inclusive design.

Yes. The book provides a compelling, research-backed examination of how data gaps perpetuate inequality, with actionable insights for addressing bias. Critics praise its eye-opening examples, from crash-test dummy standards to drug dosage miscalculations, making it vital for understanding modern gender disparities.

The gender data gap refers to the systemic omission of female-specific data in research and policy-making. Criado Pérez shows how this leads to male-biased outcomes, like smartphones sized for male hands or PPE gear ill-fitted for female bodies, which disproportionately harm women’s safety and efficiency.

Women face higher misdiagnosis rates for heart attacks due to male-centric symptom criteria and are underrepresented in clinical trials, resulting in dangerous medication side effects. Criado Pérez highlights how biased medical research perpetuates preventable health risks for women.

The book critiques unpaid care burdens disproportionately placed on women and workplace tools designed for male norms. For example, voice recognition software trained on male voices fails 70% more often for women, exacerbating professional inequities.

Some critics argue the book focuses more on exposing problems than offering concrete solutions. Others note limited intersectional analysis of how race, class, and disability compound data gaps for marginalized women.

Criado Pérez explains that crash-test dummies historically modeled male body types, leading to seatbelts and airbags that inadequately protect women. This data oversight results in 47% higher serious injury rates for female drivers.

“The default male is not a conspiracy – it’s a consequence.” This encapsulates the book’s argument that systemic data gaps arise from unexamined biases, not malice. Another key line: “When we exclude half of humanity, we create a world that’s less safe, less prosperous, and less equitable”

While Lean In focuses on individual career strategies, Invisible Women critiques systemic structural barriers. Criado Pérez emphasizes collective action and policy reforms over personal resilience, offering a macro-level analysis of institutional bias.

As AI and big data dominate decision-making, male-biased algorithms perpetuate discrimination in hiring, healthcare, and finance. The book remains urgent for addressing tech-sector gender gaps and ensuring inclusive data practices in emerging technologies.

Criado Pérez advocates for gender-disaggregated data collection, inclusive design processes, and policy reforms prioritizing women’s needs. She stresses that closing data gaps requires intentional effort, not neutral algorithms, to counteract historical biases.

나만의 학습 방법 탐색하기

Invisible Women은 단순한 책이 아닙니다 — Society의 마스터클래스입니다. 당신에게 가장 잘 맞는 방식으로 교훈을 흡수할 수 있도록 5가지 고유한 학습 모드를 제공합니다. 깊이 생각하는 사람이든, 빠른 학습자이든, 이야기를 좋아하는 사람이든, 당신의 스타일에 맞는 모드가 있습니다.

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