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Invisible Women: Data Bias in a World Designed for Men Hardcover – March 12, 2019
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“A rallying cry to fight back.” —Sunday Times (London)
Winner, 2019 Financial Times and McKinsey Business Book of the Year Award
Winner, 2019 Royal Society Science Book Prize
Data is fundamental to the modern world. From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems.
And women pay tremendous costs for this bias in time, money, and sometimes with their lives. Celebrated feminist advocate Caroline Criado Perez investigates the shocking root cause of gender inequality and research in Invisible Women, diving into women’s lives at home, the workplace, the public square, the doctor’s office, and more. Chapters here include:
- Can Snow-Clearing Be Sexist
- The Myth of Meritocracy
- The Henry Higgins Effect
- One-Size-Fits-Men
- Yentl Syndrome
- From Purse to Wallet
- Women’s Rights Are Human Rights
Built on hundreds of studies in the US, the UK, and around the world, and written with energy, wit, and sparkling intelligence, this is a groundbreaking, unforgettable exposé that will change the way you look at the world.
- Print length272 pages
- LanguageEnglish
- PublisherAbrams Press
- Publication dateMarch 12, 2019
- Dimensions6.38 x 1.5 x 9.25 inches
- ISBN-101419729071
- ISBN-13978-1419729072
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This book is about how a gender gap in data perpetuates bias and disadvantages women.
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There is no such thing as a woman who doesn’t work. There is only a woman who isn’t paid for her work.2,918 Kindle readers highlighted this
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The result of this deeply male-dominated culture is that the male experience, the male perspective, has come to be seen as universal, while the female experience – that of half the global population, after all – is seen as, well, niche.2,451 Kindle readers highlighted this
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When you have been so used, as a white man, to white and male going without saying, it’s understandable that you might forget that white and male is an identity too.2,385 Kindle readers highlighted this
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These white men have in common the following opinions: that identity politics is only identity politics when it’s about race or sex; that race and sex have nothing to do with ‘wider’ issues like ‘the economy’; that it is ‘narrow’ to specifically address the concerns of female voters and voters of colour; and that working class means white working-class men.2,149 Kindle readers highlighted this
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When planners fail to account for gender, public spaces become male spaces by default.1,975 Kindle readers highlighted this
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Editorial Reviews
Review
“Invisible Women is a game-changer; an uncompromising blitz of facts, sad, mad, bad and funny, making an unanswerable case and doing so brilliantly. … the ambition and scope — and sheer originality — of Invisible Women is huge; no less than the story of what happens when we forget to account for half of humanity. It should be on every policymaker, politician and manager’s shelves.”―The Times (UK)
“Brilliant … Invisible Women lays out in impressive detail the many ways that human beings are presumed to be male, as well as the wide-reaching effects of this distorted view of humanity.”―Katha Pollitt, The Nation
“The most important book I have ever read.”―Women You Should Know
“An excellent book packed with practical information of the kind required by those attempting to dismantle the patriarchy.”―The Irish Times
“As Invisible Women illuminates, in an almost overwhelming way, communities pay tremendous costs for the gender data gap: costs of income, time, women's health, and sometimes women's lives.”―Bustle
"In clear language, the author builds a strong case for greater inclusion with this thoughtful and surprisingly humorous view of institutional bias and gendered information gaps. While some readers may suggest that equality has arrived and gender no longer matters, this book, which should have wide popular appeal, is a solid corrective to that line of thought."―Kirkus Reviews
“Even with all the progress women have made in the last few decades, Invisible Women proves we still have a long way to go. Reading this book—preferably in a comfortably warm room—is the first step.”―PureWow
"An incredible book."―Roman Mars, "99% Invisible"
“A diligently researched and clearly written exposé.”―Booklist
“A provocative, vital book.”―Publishers Weekly
“Feminist campaigner, Caroline Criado-Perez left us gobsmacked with Invisible Women, an in-depth look at how women are (still) excluded in society.” ―Refinery29 (UK)
“This book is a devastating indictment of institutionalised complacency and a rallying cry to fight back… Invisible Women should propel women into action.”―Sunday Times (UK)
“Brilliant.”―The Economist
“There’s a sense of rage simmering beneath the surface of Invisible Women, every now and then it bubbles up in the text, but the book’s force doesn’t derive from the power of its rhetoric – instead it’s the steady, unrelenting accumulation of evidence, the sheer weight of her argument. … Reading Invisible Women one might experience, as I did, the dizzying sensation that so many of my own stories, so many of my friends’ stories, so many incidents I had experienced as discrete and unrelated – at work, at home, on the streets, in hospital – are in fact interconnected. As women, we are so used to contorting ourselves to fit into men-shaped spaces, we’ve learned to ignore how often it hurts.”―The New Statesman
“A powerful call to bust the myths and bridge the gap.”―Nature
“Shocking, yet essential, reading.”―Stylist
“Criado Perez doesn’t set out to prove a vast conspiracy; she simply wields data like a laser, slicing cleanly through the fog of unconscious and unthinking preferences.”―The Guardian
“Invisible Women is an absorbing cornucopia of thought-provoking facts - fascinating, alarming and face-palming in equal measures. Caroline Criado Perez shows up the shortcomings of a world designed for men by men. The consequences of treating men as the default option, or women just as smaller men – if they get considered at all - has wide-reaching implications for everything (and everyone) from snow clearing to seat-belts and many branches of medicine. I shall certainly think of this book next time I have a heart attack, a car crash or just want to go to the toilet at the theatre.”―Georgina Rippon, Professor Emeritus of Cognitive Neuroimaging, Aston University
"A blisteringly good book... never less than eye-opening, and frequently staggering."―The Bookseller
“The thoroughness of Invisible Women doesn’t detract from its absolute readability. This is entertaining, scholarly and so very important.”―Adam Rutherford, author of A Brief History of Everyone Who Ever Lived
About the Author
Excerpt. © Reprinted by permission. All rights reserved.
Invisible Women
Data Bias in a World Designed for Men
By Caroline Criado PerezAbrams Books
Copyright © 2019 AbramsAll rights reserved.
ISBN: 978-1-4197-2907-2
Contents
Preface, xi,Introduction: The Default Male, 1,
Part I: Daily Life, 27,
Chapter 1: Can Snow-Clearing be Sexist?, 29,
Chapter 2: Gender Neutral With Urinals, 47,
Part II: The Workplace, 67,
Chapter 3: The Long Friday, 69,
Chapter 4: The Myth of Meritocracy, 92,
Chapter 5: The Henry Higgins Effect, 112,
Chapter 6: Being Worth Less Than a Shoe, 128,
Part III: Design, 143,
Chapter 7: The Plough Hypothesis, 144,
Chapter 8: One-Size-Fits-Men, 156,
Part IV: Going to the Doctor, 191,
Chapter 10: The Drugs Don't Work, 193,
Chapter 11: Yentl Syndrome, 215,
Part V: Public Life, 235,
Chapter 12: A Costless Resource to Exploit, 237,
Chapter 13: From Purse to Wallet, 252,
Chapter 14: Women's Rights are Human Rights, 263,
Part VI: When it Goes Wrong, 285,
Chapter 15: Who Will Rebuild?, 287,
Chapter 16: It's Not the Disaster that Kills You, 294,
Afterword, 308,
Acknowledgements, 317,
Endnotes, 320,
Index, 390,
CHAPTER 1
Can Snow-Clearing be Sexist?
It all started with a joke. It was 2011 and officials in the town of Karlskoga, in Sweden, were being hit with a gender-equality initiative that meant they had to re-evaluate all their policies through a gendered lens. As one after another of their policies were subjected to this harsh glare, one unfortunate official laughed that at least snow-clearing was something the 'gender people' would keep their noses out of. Unfortunately for him, his comment got the gender people thinking: is snow-clearing sexist?
At the time, in line with most administrations, snow-clearing in Karlskoga began with the major traffic arteries, and ended with pedestrian walkways and bicycle paths. But this was affecting men and women differently because men and women travel differently.
We lack consistent, sex-disaggregated data from every country, but the data we do have makes it clear that women are invariably more likely than men to walk and take public transport. In France, two-thirds of public transport passengers are women; in Philadelphia and Chicago in the US, the figure is 64% and 62% respectively. Meanwhile, men around the world are more likely to drive and if a household owns a car, it is the men who dominate access to it – even in the feminist utopia that is Sweden.
And the differences don't stop at the mode of transport: it's also about why men and women are travelling. Men are most likely to have a fairly simple travel pattern: a twice-daily commute in and out of town. But women's travel patterns tend to be more complicated. Women do 75% of the world's unpaid care work and this affects their travel needs. A typical female travel pattern involves, for example, dropping children off at school before going to work; taking an elderly relative to the doctor and doing the grocery shopping on the way home. This is called 'trip-chaining', a travel pattern of several small interconnected trips that has been observed in women around the world.
In London women are three times more likely than men to take a child to school and 25% more likely to trip-chain; this figure rises to 39% if there is a child older than nine in the household. The disparity in male/female trip-chaining is found across Europe, where women in dual-worker families are twice as likely as men to pick up and drop off children at school during their commute. It is most pronounced in households with young children: a working woman with a child under the age of five will increase her trip-chaining by 54%; a working man in the same position will only increase his by 19%.
What all these differences meant back in Karlskoga was that the apparently gender-neutral snow-clearing schedule was in fact not gender neutral at all, so the town councillors switched the order of snow-clearing to prioritise pedestrians and public-transport users. After all, they reasoned, it wouldn't cost any more money, and driving a car through three inches of snow is easier than pushing a buggy (or a wheelchair, or a bike) through three inches of snow.
What they didn't realise was that it would actually end up saving them money. Since 1985, northern Sweden has been collecting data on hospital admissions for injuries. Their databases are dominated by pedestrians, who are injured three times more often than motorists in slippery or icy conditions and account for half the hospital time of all traffic-related injuries. And the majority of these pedestrians are women. A study of pedestrian injuries in the Swedish city area of Umeå found that 79% occurred during the winter months, and that women made up 69% of those who had been injured in single-person incidents (that is, those which didn't involve anyone else). Two-thirds of injured pedestrians had slipped and fallen on icy or snowy surfaces, and 48% had moderate to serious injuries, with fractures and dislocations being the most common. Women's injuries also tended to be more severe.
A five-year study in Skane County uncovered the same trends – and found that the injuries cost money in healthcare and lost productivity. The estimated cost of all these pedestrian falls during just a single winter season was 36 million Kronor (around £3.2 million). (This is likely to be a conservative estimate: many injured pedestrians will visit hospitals that are not contributing to the national traffic accident register; some will visit doctors; and some will simply stay at home. As a result, both the healthcare and productivity costs are likely to be higher.)
But even with this conservative estimate, the cost of pedestrian accidents in icy conditions was about twice the cost of winter road maintenance. In Solna, near Stockholm, it was three times the cost, and some studies reveal it's even higher. Whatever the exact disparity, it is clear that preventing injuries by prioritising pedestrians in the snow-clearing schedule makes economic sense.
A brief snow-clearing coda comes from the alt-right blogosphere, which reacted with glee when Stockholm failed to execute a smooth transfer to gender-equal snow-clearing in 2016: an unusually high snowfall that year left roads and pavements covered in snow and commuters unable to get to work. But in their rush to celebrate the foundering of a feminist policy what these right-wing commentators failed to note was that this system had already been working successfully in Karlskoga for three years.
They also, in any case, reported the issue inaccurately. Heat St claimed that the policy was a failure in part because 'injuries requiring a hospital visit reportedly spiked' – neglecting to note that it was pedestrian injuries that had 'spiked', illustrating that the problem was not that pedestrians had been prioritised, but that snow-clearing as a whole had not been conducted effectively. Motorists may not have been travelling well, but neither was anyone else.
The following winter was much more successful: when I spoke to Daniel Hellden, a local councillor in Stockholm's traffic department, he told me that on the 200 km of joint cycle and pedestrian lanes that are now being cleared with special machines ('which make them as clean as in the summer') accidents have gone down by half. 'So it's a really good effect.'
The original snow-clearing schedule in Karlskoga hadn't been deliberately designed to benefit men at the expense of women. Like many of the examples in this book, it came about as a result of a gender data gap – in this instance, a gap in perspective. The men (and it would have been men) who originally devised the schedule knew how they travelled and they designed around their needs. They didn't deliberately set out to exclude women. They just didn't think about them. They didn't think to consider if women's needs might be different. The data gap was a result of not involving women in planning.
Inés Sánchez de Madariaga, an urban-planning professor at Madrid's Technical University, tells me that this is a problem in transport planning more generally. Transport as a profession is 'highly male-dominated', she explains. In Spain, 'the Ministry of Transportation has the fewest women of all the ministries both in political and technical positions. And so they have a bias from their personal experience.'
On the whole, engineers focus mostly on 'mobility related to employment'. Fixed labour times create peak travel hours, and planners need to know the maximum capacity that infrastructure can support. 'So there's a technical reason for planning for peak hours,' Sanchez de Madariaga acknowledges. But needing to plan for peak hours doesn't explain why female travel (which doesn't tend to fit into peak hours, and therefore 'doesn't affect the maximum capacity of systems') gets ignored.
The available research makes bias towards typically male modes of travel clear. The United Nations Commission on the Status of Women found 'a male bias' in transport planning and a failure to address gender 'in system configuration'. A 2014 EU report on Europeans' satisfaction with urban transport describes male travel patterns as 'standard' even as it decries the failure of European public transport systems to adequately serve women. More galling are common planning terms such as 'compulsory mobility', which Sánchez de Madariaga explains is a commonly used umbrella concept for 'all trips made for employment and educational purposes'. As if care trips are not compulsory, but merely expendable 'me time' for dilettantes.
The bias is also clear in government spending priorities. Stephen Bush, the New Statesman's political correspondent, pointed out in a July 2017 article that although the Conservative government has consistently spouted austerity rhetoric, the last two Tory chancellors have made an exception for road-building, on which both have spent lavishly. With living standards falling and Britain already having a fairly serviceable road infrastructure there is a whole host of areas that seem a potentially wiser investment, but somehow, both times, for both men, roads have seemed the obvious choice. Meanwhile, by 2014, 70% of councils had cut bus funding (the most feminised form of transport), with a £19 million cut in 2013 alone, and bus prices had been rising every year.
British politicians are not alone here. A 2007 World Bank report revealed that 73% of World Bank transport funding is for roads and highways, most of them rural or linking up cities. Even where roads are the right investment choice, where the proposed road leads is not a gender-neutral decision. In an illustration of how important it is that development projects are based on sex-disaggregated data, another World Bank report recounted the disagreement over a proposed road in one village in Lesotho. Women wanted the road to be constructed in one direction to 'facilitate their access to the nearest village with basic services'; men wanted it built in the opposite direction 'to enable them to reach the larger town and market more easily on horseback'.
The gender gap in travel data continues with the intentional omission in many transport surveys of shorter pedestrian and other 'non-motorised' trips. These trips, says Sanchez de Madariaga, are 'not considered to be relevant for infrastructure policymaking'. Given women generally walk further and for longer than men (in part because of their care-giving responsibilities; in part because women tend to be poorer), this marginalisation of non-motorised travel inevitably affects them more. Ignoring shorter walking trips also adds to the gap in trip-chaining data, as this kind of travel usually involves at least one journey on foot. In short, the assumption that shorter walking trips are irrelevant to infrastructure policy is little short of an assumption that women are irrelevant to infrastructure policy.
But they aren't. Men tend to travel on their own, but women travel encumbered – by shopping, by buggies, by children or elderly relatives they are caring for. A 2015 survey on travel in London found that women are 'significantly less likely than men to be satisfied with the streets and pavements after their last journey by foot', perhaps reflecting the reality that not only are women more likely to walk than men but also that women are more likely to be pushing prams and therefore be more affected by inadequate walkways. Rough, narrow and cracked pavements littered with ill-placed street furniture combine with narrow and steep steps at numerous transit locations to make travelling around a city with a buggy 'extremely difficult', says Sanchez de Madariaga, who estimates that it can take up to four times as long. 'So what do young women with small kids do?'
Valuing cars over pedestrians is not inevitable. In Vienna 60% of all journeys are made on foot, in no small part because the city takes gender planning seriously. Since the 1990s Vienna's head of gender planning, Eva Kail, has been collecting data on pedestrian travel and has installed the following improvements: improved and signed crossing locations (plus forty additional crossings); retrofitted steps with ramps for prams and bikes; widened 1,000 metres of pavement; and increased pedestrian street lighting.
The mayor of Barcelona, Ada Callou, has shown similar determination to give her city back to pedestrians, creating what are called superilles or 'superblocks' – squared-off sections of the city with low speed limits open only to local traffic, with roads where pedestrians have equal priority with cars. Another example of easy changes that can be implemented to accommodate female travel patterns comes via London, where in 2016 the 'hopper fare' was introduced to the bus network. Previously, every time a user boarded a bus they were charged for a new journey, but under the new system users can now make two trips in one hour for the price of one. This change is particularly helpful for women because they were disproportionately penalised by the old charging system. This is not only because of women being more likely to trip-chain, but also because women make up the majority (57%) of London's bus users (partly because it's cheaper, partly because the bus is perceived as more child-friendly), and are more likely to have to transfer (which under the old system counted as a new trip).
The reason women are more likely to have to transfer is because, like most cities around the world, London's public transport system is radial. What this means is that a single 'downtown' area has been identified and the majority of routes lead there. There will be some circular routes, concentrated in the centre. The whole thing looks rather like a spider's web, and it is incredibly useful for commuters, who just want to get in and out of the centre of town. It is, however, less useful for everything else. And this useful/not so useful binary falls rather neatly onto the male/female binary.
But while solutions like London's hopper fare are an improvement, they are by no means standard practice worldwide. In the US, while some cities have abandoned charging for transfers (LA stopped doing this in 2014), others are sticking with it. Chicago for example, still charges for public transport connections. These charges seem particularly egregious in light of a 2016 study which revealed quite how much Chicago's transport system is biased against typical female travel patterns. The study, which compared Uberpool (the car-sharing version of the popular taxi app) with public transport in Chicago, revealed that for trips downtown, the difference in time between Uberpool and public transport was negligible – around six minutes on average. But for trips between neighbourhoods, i.e. the type of travel women are likely to be making for informal work or care-giving responsibilities, Uberpool took twenty-eight minutes to make a trip that took forty-seven minutes on public transport.
Given women's time poverty (women's paid and unpaid work combines into a longer working day than men's), Uberpool might seem attractive. Except it costs around three times more than public transport and women are also cash poor compared to men: around the world women have less access to household finances than men, while the global gender pay gap currently stands at 37.8% (it varies hugely from country to country, being 18.1% in the UK; 23% in Australia; and 59.6% in Angola).
There is, of course, an issue of resources here, but the problem is, to a certain extent, one of attitude and priorities. Although Mckinsey estimates that women's unpaid care work contributes $10 trillion to annual global GDP, trips made for paid work are still valued more than trips made for unpaid care work. But when I ask Sanchez de Madariaga if, in a city like London or Madrid, there is an economic argument for providing transport that caters for women's care responsibilities she replied immediately. 'Absolutely. Women's employment is a really important input to GDP. For every percentage increase in women's employment there is a greater increase in GDP. But for women to work, the city has to support this work.' And one of the key ways to do this is to design transport systems that enable women to do their unpaid work and still get to the office on time.
(Continues...)Excerpted from Invisible Women by Caroline Criado Perez. Copyright © 2019 Abrams. Excerpted by permission of Abrams Books.
All rights reserved. No part of this excerpt may be reproduced or reprinted without permission in writing from the publisher.
Excerpts are provided by Dial-A-Book Inc. solely for the personal use of visitors to this web site.
Product details
- Publisher : Abrams Press; Later Printing edition (March 12, 2019)
- Language : English
- Hardcover : 272 pages
- ISBN-10 : 1419729071
- ISBN-13 : 978-1419729072
- Item Weight : 1.73 pounds
- Dimensions : 6.38 x 1.5 x 9.25 inches
- Best Sellers Rank: #183,109 in Books (See Top 100 in Books)
- #162 in Social Aspects of Technology
- #326 in Feminist Theory (Books)
- #584 in Discrimination & Racism
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Customers find the book very well written and easy to consume. They also appreciate the research, which is insightful, meticulously sourced, and urgent. Opinions are mixed on the content, with some finding it fascinating and scary, while others say the bias is too much.
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Customers find the research insightful, with great sources of data. They also say the conclusions are worthy of consideration, and the overall argument is persuasive.
"...I found this book very well written, meticulously footnoted, and very eye-opening even though I was aware of some of the issues already...." Read more
"...Which is why this is a must read. Urgent, fascinating and necessary!" Read more
"...The data and studies are well documented throughout, which helps to prove the author's hypotheses and points...." Read more
"...I flipped through it; it is both informative and infuriating." Read more
Customers find the book very well written, detailed, and quick to read. They appreciate the strong, coherent commentary and evidence for the gender data gap. Readers also mention that the book is thoughtfully put together to tell the story of 50% of the population. They say it's arranged with a preface, introduction, six sections, and an afterword.
"...This book is arranged with a preface, introduction, six sections, an afterword, an epilogue specific to Covid-19, and almost 100 pages of endnotes..." Read more
"...Author Caroline Crisdo Perez makes a well-written, easy-to-follow case with unbiased gender data for her arguments that can turn male-unless-..." Read more
"...Great examples, a lil wordy in some areas but a good Women’s History Month read indeed." Read more
"Amazing approachable easy to consume data driven book...." Read more
Customers are mixed about the content. Some find it fascinating, shocking, and eye-opening. However, others say it has too much author commentary and opinion, and some parts feel repetitive.
"...brilliantly written that it’s funny, and sad, and insightful, and infuriating, and more all at once...." Read more
"...Which is why this is a must read. Urgent, fascinating and necessary!" Read more
"...I flipped through it; it is both informative and infuriating." Read more
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This book is arranged with a preface, introduction, six sections, an afterword, an epilogue specific to Covid-19, and almost 100 pages of endnotes and index. Although the book (sans endnotes and index) is 326 pages long, it is very readable and so brilliantly written that it’s funny, and sad, and insightful, and infuriating, and more all at once. The author brings to light numerous issues that at first glance didn’t really seem to be gender/sex-related at all but after looking at them, they actually are. I think this book would be so helpful for people in many fields, especially in leadership in corporations, government, churches, the medical community, small businesses, and more.
Introduction: The Default Male
The introduction sets up the whole book to show how nearly universally, a default male (body, size, height, weight, shape, behavior, lifestyle, etc.) is used as the default for data, decisions, planning, policies, history, teaching, models, examples, etc. and how this excludes fully 50% of the world’s population’s experiences, bodies, behaviors, needs, and values.
Part 1: Daily Life
In the first chapter, “Can Snow-Clearing be Sexist?”, the author reveals how many activities, like plowing the snow from roads, have been set up based on male norms without consideration of how females have different norms. In the case of clearing the roads and sidewalks for travel and commuting, when women’s needs and patterns were considered, it was found that clearing side roads and sidewalks prior to major roads reduced injuries and accidents and the overall cost of snow conditions compared with the plan which only considered men’s needs and patterns. Chapter two, “Gender Neutral with Urinals”, looks and bathroom usage and compares the usable square footage and time to use restrooms of men’s bathrooms, which can accommodate more men, with the needs of women who cannot use urinals, often have children or elderly to help, and have physical needs which just take longer than men. As such, equal size bathrooms are simply not equitable. And many worldwide women don’t have access to safe facilities at all.
Part 2: The Workplace
Part 2 has 4 chapters. “The Long Friday” refers to a day when 90% of women in Iceland decided to strike so that their contributions, many unpaid, would be recognized. Statistically, women do far more unpaid work like childcare, elder care, shopping, cooking, and cleaning compared with men. These tasks cannot be skipped; they are essential but unpaid. “The Myth of Meritocracy” shows how advancement in the workplace based on merit favors men who don’t have essential unpaid work to do at home and can invest more at work. Furthermore, men’s accomplishments are recognized and rewarded more often even when they are not more merit-worthy than women. “The Henry Higgens Effect” refers to a character in My Fair Lady who wonders why women can’t be more like men, as if the solution is to force women to act like men rather than recognize that half of the population is not male and behaving like a woman is quite appropriate for women. The final chapter in this section is “Being Worth Less than a Shoe” and discusses workplace safety standards and equipment that were developed for men without consideration for the women and their size and physiological differences. “Women have always worked. They have worked unpaid, underpaid, underappreciated, and invisibly, but they have always worked. But the modern workplace does not work for women. From its location, to its hours, to its regulatory standards, it has been designed around the lives of men and it is no longer fit for purpose. The world of work needs a wholesale redesign – if its regulations, of its equipment, of its culture – and this redesign must be led by data on female bodies and female lives. We have to start recognizing that the work women do is not an added extra, a bonus that we could do without: women’s work, paid and unpaid, is the backbone of our society and our economy. It’s about time we started valuing it.” p142.
Part 3: Design
In the section on Design, there are three chapters. “The Plough Hypothesis” looks at cultures where farm equipment, designed for men, allowed men who have significantly more upper body strength and hand grip to become the primary income-generating farmers but in cultures that used hoes, both men and women farmed. Farming practices that favor men aren’t limited to equipment but also impact crop types. Some high-yield varieties increase the time the women had to spend on cooking and preparing the crops and “clean” stoves designed to reduce harmful smoke emissions often increase the effort and time for women to cook and tend to the food. “One-Size-Fits-Men” discusses the issues with equipment, gear, and algorithms designed for an average-sized man and how these ill-fitting products do not properly protect, and sometimes even increase risk because they do not fit properly on women simply because women don’t have the same size, shape, and expression, as an average man. “A Sea of Dudes” shares the difficulties women have getting funding for research and products for women when often men are unaware of the needs of women and don’t value funding products that they themselves don’t need. “Designers may believe they are making products for everyone, but in reality they are mainly making them for men. It’s time to start designing women in.” p191.
Part 4: Going to the Doctor
“When Drugs Don’t Work” looks at the practice of testing drugs and dosages on men without considering how well they work (or don’t work) on women with different hormones and physiology. My mom is only about 85 pounds and I often wonder if the standard male adult dosage is appropriate for her tiny body. “Yentl Syndrome” starts by comparing typical heart attack symptoms in men versus women. Because symptoms in women differ from men, they are often misdiagnosed, sometimes fatally. Male-dominated funding panels impact how research funding is distributed and diseases that impact primarily women are less likely to be funded and studied. Women typically wait longer, take longer to diagnose, are misdiagnosed more often, and are not taken seriously by the medical community.
Part 5: Public Life
“A Costless Resource to Exploit” delves into the deliberate decision to exclude unpaid women’s work (childcare, elder care, cooking, cleaning, household activities, etc.) in the GDP. “It makes sense only if you see women as an added extra, a complicating factor. It doesn’t make sense if you’re talking about half of the human race. It doesn’t make sense if you care about accurate data.” p241. “From Purse to Wallet” looks at tax codes and how they favor men compared with women, particularly in that joint households receive tax credits to the head of the household, typically the man, and women may not have equal access to this money. “Women’s Rights are Human Rights” continues looking at how male-biased policies and gaps in government thinking are harming women. “The data we already have makes it abundantly clear that female politicians are not operating on a level playing field. The system is skewed towards electing men, which means that the system is skewed towards perpetuating the gender data gap in global leadership, with all the attendant negative repercussions for half the world’s population.” p286.
Part 6: When it Goes Wrong
“Who will rebuild” shows that “when things go wrong – war, natural disaster, pandemic – all the usual data gaps we have seen everywhere from urban planning to medical care are magnified and multiplied. But it’s more insidious than the usual problem of simply forgetting to include women. Because if we are reticent to include women’s perspectives and address women’s needs when things are doing well, there’s something about the context of disaster, of chaos, of social breakdown, that makes old prejudices seem more justified. The real reason we exclude women is because we see the rights of 50% of the population as a minority interest.” p290. “It’s Not the Disaster that Kills You” continues by pointing out that during disasters, it is women who are disproportionally negatively impacted. Women face increased domestic violence, trauma, displacement, injury, death, and female-specific injustices during warfare, pandemics, and natural disasters.
The afterword offers some hope when women’s voices are included. Women bring valuable insight into the experiences of half the population and their experiences are good for business, economy, and humanity. The epilogue was added to specifically address the Covid-19 pandemic and, unsurprisingly, the “continual failure to systemically collect and sex-disaggregated data on symptoms, infection rates, and death rates from Covid-19.” p319. And of course, PPE that fit women (like masks) were disproportionally unavailable for the many women in healthcare settings who needed them.
I found this book very well written, meticulously footnoted, and very eye-opening even though I was aware of some of the issues already. I would highly recommend the book to all leaders and all women. Although the author touched on women’s clothing and fashion, I wish she had chewed on it a little more, especially considering how men are able to purchase pants by style, waist size, and inseam whereas rarely are women offered the ability to buy based on measurements and most pants have only one inseam length as if all women are the same shape and height. Women, their bodies, and their needs matter in all areas of life and we should be considered.
There were some eye-opening parts to this book. The data and studies are well documented throughout, which helps to prove the author's hypotheses and points. Using that data, Perez shares detailed explanations of why the lack of data on women affects decision-making for current and future generations on both micro and macro levels. I also enjoyed that many industries (transportation, technology, healthcare) and countries (Bangladesh, Brazil, UK, Sweden) were noted.
While there were many great elements of the book, naturally, there are things I didn't love. The author got perhaps too biased and let her personal opinions color the data at some points. As a woman who is not a mother, I also felt that Perez did not do a great job of separating "woman" from "mother." I'm sure there's a reason for that, and for the most part, I'd guess that, around the world, most women are mothers. However, it did leave me asking questions about the data surrounding domestic work when women are not mothers. Finally, about halfway through the book, Perez began asking many "what-if" and "what-about" questions where the only solution was "collect more data on women." While the answer is a resounding, "yes, we need more data on women, and we need sex-disaggregated data," how do we get that? What changes are we making in academia, in the field, and globally to collect new or improved data?
I was left without an answer to that question.
Perhaps the point of this book was to shed light on the lack of data on women. However, this book felt a bit like hot-potato: yes, it's a problem, but no one, including the author, is offering tactical solutions to remedy it.
Invisible Women is a must-read, but there's still bias built-in.











