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Sociology. Women's Studies. Nonfiction. HTML: 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 often 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. 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 expose that will change the way you look at the world..… (more)
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Criado Perez is thorough. She explores not just the commonly known areas where women have been
Her main solution to all of this is getting women in the position to be involved in decisions. To me, this seems undoubtedly correct, though I think part of that equation has to be getting men involved evenly in the unpaid care work at the same time. (Please, to all my male friends who are already there and doing their fair share, I see it and acknowledge it - my husband included!) I do love her last line:
"And so, to return to Freud's 'riddle of femininity', it turns out that the answer was staring us in the face all along. All 'people' needed to do was to ask women."
This is a book everyone should read, but fair warning that it isn't comfortable or easy reading.
Women’s work is ignored, which means that, for example, transportation planning doesn’t take into account the trips that women are more likely to make and anti-poverty programs move women into places where their networks are unavailable and childcare is suddenly both necessary and impossible to find. And male violence against women is ignored, so women’s safety concerns that limit use of public transportation and public space are dismissed as flaws in female behavior, even as we now know that women in India who have to use fields to urinate, instead of bathrooms, face a much greater risk of sexual assault and that women prefer security measures at bus stops (where we otherwise have to wait alone in the dark) to cameras on buses (which transportation designers are more willing to plan for). The disregard for women’s interests interacts—when we don’t count unpaid care work, we find that moderately long hours at paid work improves men’s health but threatens women’s health—because women are actually working a ton more. Everything could use some gender analysis: what counts as a deductible work expense generally conforms to “the kinds of things men will need to claim. Uniforms and tools are in; emergency day care is out.”
Among the rage-inducing stuff, I also learned that “countries with genderless languages (such as Hungarian and Finnish) are not the most equal. Instead, that honour belongs to a third group, countries with ‘natural gender languages’ …. because men go without saying, it matters when women literally can’t get said at all.” Relatedly, “gender neutral” tenure policies that give extra time on the tenure clock for having children advantage men, who use the extra time to write: one analysis of economics departments found that they resulted in a 22% decline in women’s chances of gaining tenure at their first job, and a 19% increase for men. Instead, Perez points to the example of giving father-specific paternity leave on a use it or lose it basis, which has apparently done some good in Sweden.
Then there’s bias against women: male biology students routinely underevaluate female peers while female students can tell who’s actually good; student evaluations are biased against female professors (and nonwhite professors)—that we know this very well and keep using evaluations as part of the standards for professors demonstrates that it’s not just lack of information that’s the problem, it’s that policymakers can’t stop thinking of women as problems to be solved, deviations from the norm. Women can’t get startup funding as easily as men; when professions gain importance (like computer programmers), decisionmakers kick women out of the field. In such circumstances, the myth of meritocracy can only perpetuate itself by collapsing the is/ought distinction—Perez cites an example of a finding that “frequenting a particular Japanese manga site is a ‘solid predictor of strong coding,’” which of course is much more about free time and culture than anything else.
And it’s not just money; women pay in illness and death for these failures to see. Construction jobs have safety limits on what can be lifted, but the research and regulation in nursing lags far behind. Miners’ diseases are heavily studied, but not the chemicals used in nail salons. The Army buys ‘different boot styles for hot and cold weather, mountain and desert warfare and the rain,’ but not for women. Medicine isn’t studied in women because women’s bodies are considered too complex and variable—but it sure as hell is prescribed to us, though our pain is undertreated. One result: “the second most common adverse drug reaction in women is that the drug simply doesn’t work, even though it clearly works in men.” And note what else that failure may mean: since women aren’t sufficiently studied in drug trials, we are likely losing out on drugs that would work for women but are ruled out because phase one trials are mostly done in men. And so on.
Poverty programs that fail to think about women fail. In Syria, for example, “while the introduction of mechanisation in farming did reduce demand for male labour, freeing men up to ‘pursue better-paying opportunities outside of agriculture’, it actually increased demand ‘for women’s labour-intensive tasks such as transplanting, weeding, harvesting and processing.’” Other interventions fail “in part because women are already overworked and don’t have time to spare for educational initiatives, no matter how beneficial they may end up being,” leading innovators to blame women for failing to be sensible. Other initiatives “exclude women by requiring a minimum land size, or that the person who attends the training is the head of a farming household, or the owner of the land that is farmed.” The story of improved stoves—which could help environmental impacts and women’s health—is particularly frustrating, because their designers for decades ignored the barriers to women’s uptake and blamed women for not changing, even though the new stoves disrupted multitasking and household relationships.
Now our world will operate on algorithms based on data biased towards men and it will become even harder to overcome. Made me very angry.
There were two things that stood out for me in this book, one was the Policewoman who had breast reduction surgery to make her stab vest safe... the other is that 78% of female pianists (47% of men) have hand pain and that if they just could use the 7/8 DS keyboard that this would be drastically reduced. The reason the second anecdote stood out for me is because I had ganglion surgery at 21 and stopped doing piano exams because the Octave scales were causing pain. I had done 7 of 8 exams before the Diploma. Barely passing the last one so I decided to cut my losses.
I'm a short woman, I wear a padded piece on the seatbelt of the car because otherwise it rubs painfully. I'm also aware that front impact protection bags can kill women my size. But the fact that we're in a world where it's acceptable to ignore 50% (I've seen the numbers at 51% but let's just go broad here) of the population because it's messy to properly do the research. Ignoring the fact that body chemistry can have impact on things. The fact that a lot of tools to help detect that a person has fallen over involves phones in pockets... when most women can't carry them that way.
Read this book, no really, there may be some errors in it but overall it's a book that designers and most men need to read and then ask themselves why women aren't angrier.
I lost sleep over this book....
A deeply interesting book, but one that enraged me. I’ll be
This book is an excellent example of the importance of such tools as the Gender Bias Analysis Plus to ensure that voiced of all humans are heard, listened to and actioned on. It is also a great way to continue the conversation on equality and feminism in a rational, deliberate and focused way.
The thoughts in this book were well-expressed, and interesting. I did feel at times that she was over-stating her case, but that is often true of books with a strong bias (in this case feminism). Not that I’m saying feminism is a bad bias, only that it IS a direction that can be leaned too heavily upon at times (like every other social issue). Overall, a highly suggested book for those interested in feminism.
Frankly, I don't think the author always presents her material quite as succinctly or directly as I have sometimes seen from other writers -- Michelle Alexander in The New Jim Crow is the gold standard in my eyes -- but she really heaps it on, relentlessly, comprehensively. There is plenty here that any woman will find obvious from their own life experiences, at least if they think about it very long. But, I also think there are multiple examples of data bias impacting women negatively that will surprise even some women. The many issues the author brings up on healthcare, for instance, will make some women readers wonder if their overall healthcare has been perhaps more comparable to being treated by a veterinarian than to the care their male counterparts receive. The sections on that are worth the price of admission all by themselves, in my eyes. Even my wife, the now retired healthcare provider was unaware of many discrepancies the author unearths.
I guess the bad news is that I, a guy, eventually fell into a certain level of depression and anger at the inequity. I can only imagine how a woman would feel by the time she's done reading it. But forewarned is forearmed. Or so they say, right? Then again, that might have come from just asking men, so maybe not.
What if it isn't, and they don't?
This book looks at the concept of the "default male" and how this plays out in the data we
There are a couple of minor flaws. For example, sometimes, presenting things as the needs of men vs. those of women can obscure other angles. One example was a housing project in Vienna that eliminated parking spaces in favor of community rooms, because women are less likely to drive. However, making access more difficult for private cars, especially without a total rethink of the surrounding transport system and city layout, can also cause problems for the disabled, and indeed for women in general.
There is so much ground to cover that out of necessity, Criado Perez has to be somewhat selective. For example, the chapter on medicine can only hit a few examples. Maya Dusenbery's Doing Harm was an entire book on the topic, and she still had to leave out routine gynecology and obstetrics. This also means that the feel of the book (though well written and witty) is a constant slam of citations, without the space for in depth analysis. There's enough, but the problems are so pervasive that each could get more space.
The author is British, but the examples are international. Some countries are worse on particular measures (the US on maternity leave; the UK on inclusion of women in clinical trials) but the trend is pervasive and not limited to any one country.
I finished the book feeling enraged, but glad I had read it.
One way is, of course, in medical studies. For a long time, women weren't included at all.
Of course, they do. One of the better-known examples, now, is that women don't show the same symptoms as men when having a heart attack. Because of this, women tend to get diagnosed later, and are less likely to survive. But there are a wide range of problems resulting from the lack of female data in medical studies. Women have different proportions of fat in their bodies than men, and different proportions of the different types of muscle than men. This causes many drugs to be processed differently, and this can make those drugs less effective in women, or make different dosages than arrived at by taking data based on men and adjusting it only for weight.
But's not just medical data that's missing, and that matters. Virtual reality designs are based on men, and aren't always as effective for women. Okay, that's just games. What about homeless shelters, or disaster relief shelters, or refugee shelters? We want them to be safe, but "safe" for men isn't the same as "safe" for women. Yet typically all these shelters are designed with the assumption of "gender neutral" design is genuinely gender neutral, when in fact it simply leaves out women's safety issues.
Most unpaid work, caring for children, other family members, elderly parents, is done by women. Women to the cooking and cleaning, most of it anyway, and the amounts done by men and women hasn't changed as much as we like in the last forty years. That work is of great economic value, and society depends on it, but because it's unpaid, it's simply not counted, and it's not accounted for in making tax, pension, and other legal and economic decisions that affect women's ability to do both their caring work and their paid work--often forcing women to cut back on or drop out of paid work. Some of those decisions are the ones working women or formerly working women deal with on a daily basis in middle class lives in developed countries. Others are truly startling, like building public housing that takes no account of extended families and informal local networks that provide backup and support for women trying to both care for their families, and earn money to provide for them.
Criado-Perez recounts the impact of the lack of data, or even more infuriatingly, the impact of not using data that has been collected, in a lively, interesting, accessible, and compelling way. I personally think the most startling error caused by not talking to women, or as far as I can tell, thinking, is the rebuilding of housing following a natural disaster in Sri Lanka--without kitchens. How do you not realize that houses need kitchens? Even not bothering to talk to the women, but only the men, hardly seems like an adequate reason for doing that, but it apparently also happened elsewhere, for the same reason.
I'm not conveying at all, I think, just how engrossing this book is, how well-organized, and how informative and enlightening. Highly recommended!
I bought this audiobook at Libro.fm.
The examples chosen are generally quite relevant and relatable, the text is extremely approachable even for the most casual of readers, and the time spent reading or listening to the text feels abundantly worthwhile. Overall, I would say this is a work well done and which accomplishes all that it sets out to do.
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Male figures on the outside with female figures on the dustjacket underneath.