The central theme of the transcript is the pervasive gender bias in design and data collection, rooted in the default assumption that a "typical" human is a cis man. This flaw manifests in everyday systems—from snow plowing in Sweden to medical research and car safety—where women’s experiences are systematically excluded. For instance, city snow removal policies ignored women’s complex travel patterns, leading to increased injuries and health costs. In healthcare, heart attack symptoms differ in women, yet are overlooked due to male-centric research. Car crash test dummies are based on a 50th percentile male, increasing women’s risk of injury. Similarly, traditional cook stoves in developing nations emit toxic fumes, and their failure to be adopted stems from not being designed with women’s needs—such as time constraints and childcare—on the table. The key solution, demonstrated by researchers in India, is to directly engage women and design products based on their real-world needs. This shift has led to better outcomes, such as low-cost, user-friendly smoke-reducing stoves. The broader lesson is that collecting sex-disaggregated data and involving women in the design process is essential for equity and safety. The work of Caroline Criado-Perez in *Invisible Women* highlights how ignoring women’s realities leads to unnecessary suffering, and how real change begins when we stop blaming individuals and start redesigning systems. This awareness is already driving policy changes, like Scotland’s new gender data working group, proving that inclusive design is not only ethical but effective.
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99% of visible is presented by Acura.
Curating and designing the perfect experience takes meticulous craft
and obsession with detail and the love for innovation.
Just like museum designers, Acura carefully considers every detail
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This is 99% invisible. I am Roman Mars.
Today's show is about a design flaw that might be, and I'm not exaggerating here,
the single most common design flaw in human history.
It potentially affects everything we have ever built.
Its consequences are felt by more than half of people worldwide,
and most people don't even notice it, but that's changing.
Thanks in no small part to the work of one woman.
My name's Caroline Criado-Peras. I am a writer and activist who has written an incredible book.
My book is called Invisible Women Exposing Data Biasts. No, wait, sorry, that's the British title.
What the **** is the American title?
The copy I have is called Invisible Women.
Data bias in a world designed for men.
I know that British people swear more than American people.
Is this a non-swery podcast?
Well, you can swear all you like. We will probably bleep it.
Okay, I'll try to keep it to a minimum.
And honestly, Caroline Criado-Peras has good reason to swear,
because this design flaw, in addition to being everywhere,
is really annoying.
But like so many of the worst design flaws,
it can be hard to notice at first.
To demonstrate just how hard Caroline started off by telling me a story
that begins with a joke about gender.
So basically, in this town called Costco and Sweden,
they were doing a gender analysis of all their local town policies.
And someone said I will obviously snow clearing
won't have anything to do with gender.
And it does sound on the face of it ridiculous.
How can snow clearing have anything to do with gender?
After all, the city of Krollsgogo plowed its streets
the way you'd think all cities would plow their streets,
starting with the major arteries
followed by local roads and sidewalks.
It seemed about as genderless as you could get.
But actually, it turned out this was heavily related to gender,
because male and female travel patterns
are not the same.
Men are far more likely to travel in a fairly simple way,
using a car for a twice daily commute in and out of the city center.
You can see this in the way that most cities are laid out
with major arteries going in and out of downtown
in what's called an arterial system,
which makes a lot of sense if you're a man.
But it turns out the way many women travel is very different.
Women have these more complicated travel patterns
which are called trip chaining.
So for example, a typical travel day for a woman
might involve dropping the kids off at school
before she goes to work, picking up some groceries on the way home,
maybe dropping in on an elderly relative.
And so women are much more likely to be walking
and women are also much more likely to use public transport
going on these local roads rather than just directly
to a commercial area.
When Krollsgogo snow plowing schedule was first designed,
all this trip chaining done by women simply wasn't factored in
because it wasn't considered work.
But actually, this work contributes hugely to GDP.
In fact, they discovered that if you put all the unpaid
care work travel together, it turned out that travel
for those purposes was almost as much as travel for paid work.
And suddenly, if you collect data in that way,
suddenly becomes a totally different proposition.
Once the city planner started looking at the data
through the lens of gender, suddenly the idea
that the city of Krollsgogo Sweden should plow its major
arteries first didn't make intuitive sense.
Because that's really, really great
for getting in and out of downtown.
But it's not very good for traveling
between different suburbs, which is the kind of travel
that women are much more likely to do.
So the city council of Krollsgogo,
realizing that it's harder to push a buggy
through three inches of snow than it is to drive a car,
decided to flip their snow clearing policy on its head.
From now on, it would be the minor streets
and sidewalks that were plowed first,
followed by the major arteries.
What they didn't expect was it would actually save the money.
Because it turned out that it dramatically reduced
the admissions into accident and emergency
because they were right.
It is much easier to drive a car through three inches
of snow than to push a buggy.
And pedestrians were massively dominating admissions
into accident and emergency.
And women were dominating the pedestrians.
And so by this simple thing of changing the ordering
which they cleared the snow,
they had this dramatic effect on their health care bill.
And that was not an insignificant cost.
You know, one analysis found that it was three times
the cost of the winter road maintenance.
But the point of the story isn't that Krollsgogo has saved money
or even that women suffered fewer injuries.
It's that the snow clearing policy had been poorly designed
even though the city planners had started out
with the best of intentions.
You know, it's not like the travel planners thought,
"I know, let's make women fall over
and fracture their pelvises.
That'll be really funny."
And they just proceeded along the presumption
that what would have worked for them would just work for society.
You know, and when the snow clearing schedule was devised,
you know, it would have been men coming up with that schedule
and it did work for them.
But they forgot, as happens so often in public policy,
to remember that women exist.
And this goes all the way back to the fact that, you know,
this isn't just transport infrastructure.
This is pretty much everything.
Today I'm talking with Caroline Creado Perez
about the largest and most persistent data gap in history.
The failure to collect data on and from women
when designing, well, almost anything
and the consequences of that, not just for women,
but for everyone.
So you talk about this a lot in your book,
which is that at the root of almost all these design problems,
which don't seem to take women to account,
is the fallacy of the default male.
The idea that when we picture a kind of default human
when we design something, whether we collect data or not,
we picture a cis man.
Were there times in your research
where you discovered that you yourself were making
a default male assumption?
Absolutely.
I mean, that's kind of how I got into feminism
in the first place was realizing that I had this male default
in my head that whenever I pictured anyone
and the gender wasn't specified, I was picturing a man.
So, you know, a lawyer, a doctor, a journalist, a scientist,
you know, anyone, I was constantly picturing men.
And that was really shocking to me
because not only the fact that I was doing that,
but also the fact that I hadn't noticed I was doing it.
Because it is really shocking.
How would I not noticed? I'm a woman.
How would I know?
How would I not notice?
There was always picturing the opposite sex.
You know, that's just weird.
And so we really are so used to seeing men as the default
that most people aren't aware that they are ignoring women.
But for people who are developing tech,
for people who are developing workplace policy,
for people who are developing medical research.
You know, I wrote this book to kind of try and wake those people up
because I don't think that they are bad people.
But by not collecting sex-dissaggregated data,
what they are doing is having really serious, negative,
potentially fatal results for women.
Well, you mentioned medical research.
How is the absence of women in data gathering affect medicine?
So basically, the vast majority of medical research
and therefore the vast majority of knowledge we have
is based on the male body.
So for all sorts of diseases,
you know, because the way we have researched them,
the way we treat them,
the way we diagnose them has been based on research on men.
Women get misdiagnosed.
So for example, heart attacks.
Women are more likely to die following a heart attack than men.
And that's for a whole host.
reasons. First of which is that female heart attack symptoms are not the heart attack symptoms
that we have always been taught. So certainly I had always been taught that if I was having
chest pain and pain down my left arm I was having a heart attack. And it turns out that actually
those are not the typical heart attack symptoms for women. Women are more likely to experience
breathlessness, nausea, fatigue, what feels like indigestion. And so women don't realize they're
having heart attack. So they don't go to the doctor. But even if they do go to the doctor,
doctors don't realize that women are having a heart attack. But see, not all doctors don't realize.
But you know, there is this higher rate of misdiagnosis and it's partly because female heart
attack symptoms are seen as atypical, even though they are very typical for women. And in fact,
male heart attack symptoms are atypical for women. Only one in eight women will experience
chest pain, for example. But we just because of this way that we see men as the default, male
heart attack symptoms are seen as the default. And female heart attack symptoms are seen as this
kind of niche variant. I was just was just stunning because if there was some kind of thing that
affected, you know, 51% of the population, we wouldn't think that that is a niche problem.
Yeah. But I mean, we do in all sorts of areas. I mean, another area that that springs to mind
is car crashes. So the car crash test dummy that has been used for decades to test car safety
has been based on a 50th percentile male. And obviously that is a problem. You know, female
bodies differ from male bodies in all sorts of ways. I mean, we have fewer neck muscles. We have
less upper body muscle mass. Our spinal columns are different. Our pelvis is the different. You
know, so these are all issues that need to be taken into account. But we've got this 50th percentile
male dummy as if, of course, the 50th percentile male is the 50th percentile human. And actually,
what is quite in raging really is that when this was introduced in the 1950s, there was actually a
debate about having a female crash test dummy. But as happens so often, car manufacturers lobbied
against it on the basis that it would be too expensive. In presumably, it doesn't just affect the
safety data we collected. It actually affects the design of the car. Exactly. And the result is that
cars just don't fit women very well. So for example, the seatbelt hasn't been designed to accommodate
women's breasts. We haven't developed a seatbelt that accounts for pregnancy. Similarly, women need
to sit much further forward than men in order to reach the pedals, obviously quite an important part
of being able to drive. But that moves women out of what's called the standard seating position.
And it puts them at a much higher risk in a frontal collision. And you know, all of this together
means that women are 47% more likely to be seriously injured and 17% more likely to die than a man
if they're in a car crash. And so, you know, that is negligence. But I think it gets even worse
because sort of belatedly, regulators have realized that women do exist. In 2011, the US
realized that women exist. And in 2015, the EU realized that women existed. You mean they finally
introduced female crash test dummies. Yeah. But I mean, they haven't really realized that women
exist because actually the car crash test dummy that they are using is not an anthropometrically
correct. It's a scaled down male dummy. Right. But even worse than that, the EU, this scaled down
male dummy is only used in one out of the five regulatory tests and only in the passenger seat.
So basically, all you can say based on those tests is that we have data on whether it's
safe or not for scaled down men to sit in the passenger seat. But we do have data on whether
it's safe actual women to sit in the passenger seat and no data at all on what it's like for someone
who might be slightly similar to a woman to drive. Things like snow plowing and medical protocols
and car safety are just a few instances where there is a critical data gap either because
there is no data on women or the data that exists is not sex disaggregated. Even something
as innocuous as the width of a piano key has been designed only with male hand sizes in mind.
In militaries across the world, marching regulations have been designed based solely on the
average male stride length, with disastrous results for female recruits. Construction tools,
safety equipment, building codes, smartphones, voice recognition software, all of it designed
using a corpus of data in which women largely do not exist. But after this break, we'll look at
another example that might just provide a blueprint for how to do things better in the future.
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at instagram.com/teenaccounts. This episode is brought to you by PNC Bank. Some design was made
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invisible. It's the best way to support the show. I've been talking to Caroline Criado Perez
about her book "Invisible Women" and of all the stories of poor design based on the gender
data gap that Caroline told me, perhaps the most instructive was the case of the three-stone stove.
The three-stone stove is a traditional form of cooking that's used by 80% of people in the developing
world. And it is what it sounds like. Three stones arranged in a circle on the ground, with a pot
placed on top of them, and a fire underneath. And the problem with this type of stove is that
the fumes that are given off are incredibly toxic. And it's not just that the fumes are really
toxic. It's how long women and children are exposed to the fumes because also the three-stone
stove is not very efficient. So they will be in a poorly ventilated room being exposed to,
I think, one estimate with something like the equivalent of more than 100 cigarettes per day.
And this seems like something like we've had stoves and ovens for quite a long time. Why
wasn't this fixed a long time ago? Did we even try? Yeah, so there have been attempts by development
agencies to develop these clean stoves that don't require you to be hooked up to the national grid.
But we still have this big problem that they aren't being adopted, and the reason that they aren't
being adopted is incredibly simple. It's that they are being designed without anyone going and
speaking to women and asking them what they need and what they want. How are they lacking the current
designs? I mean, they're just sort of hilariously basic. They keep developing stoves that
for example, increase cooking time. Now women are already cooking for 5 hours a day. They don't
have more time to spend cooking. Also, they often require more attending. And again,
when you're having to spend so long cooking, you need to be able to multitask.
And again, this isn't something that has been factored in. One clean cook stove was developed
and it required a certain amount of maintenance. And the designers just sort of assumed,
oh well, the household will take care of that. But actually, maintenance in that way was a man's
job. And the men didn't want to maintain these stoves because they thought, well, why do I need to,
you know, she can just cook on the old-style stove. So why do I want to waste my time maintaining
the stove? Another one was, you know, a similar issue that the stove was too small to just put
bits of wood in. You had to chop the wood up. Again, that was a man's job. They weren't doing it.
So the women didn't get to use these stoves. There's all these really, really simple things that
should have been caught at the design stage if, you know, if they had just gone and spoken to the
women and said, you know, what do you need? And they would have said, well, we need something that
means that we don't have to spend more time cooking, that we can look after our kids while we're
doing it. And that we don't need men to help us with because they won't. And so programme after
programme for year after year has failed for these really, really basic reasons. And how many years
are we talking about? Well, decades. And the really frustrating thing is that often reports get
produced that basically say that it's the women's fault, you know, the women are unwilling to
learn how to use the stoves or the women are choosing to cook in these dangerous toxic fumes.
Right. And that one really is just insulting. Yeah, I mean, this reminds me of all this language
in the crash tests, you know, that women are the out of position drivers. And, you know, it really
does like there's a moment where designers and people studying this finally see women and that
is trying to find someone to blame. Yeah, I mean, I sort of connect this to the default male
because this position of, well, there must be something wrong with the women. We've got to fix
the women. That never is actually something that we apply to men. And, and I think it becomes
most clear when you are looking at things like, you know, workplace initiatives where, you know,
the idea is, oh, well, we need to build up women's confidence. It's the women aren't confident enough
that that's why they're not getting promoted. That's why they're not going for promotions. That's
why they're not choosing XYZ subject. And yet, study after study has shown that actually women are
pretty good at assessing their skill, their intelligence. And actually, it's men who tend to overestimate
their skill and intelligence. And so when you see that, then you sort of have to think, well,
maybe it's not that the women rate themselves too low. It's the men rating themselves too high.
But just, we just never think of it like that. Yeah. You know, because the male is the default,
it's assumed, well, that must be the right level. Right. And the women are wrong. So we've got to fix
the women. So did anyone bother to design a stove based primarily on the input of women? And if so,
what did they create? They did. It has a happy ending. So, yeah, a few years ago, research is
in India instead of trying to create a whole stove. They created this device that you can put on
any cook stove. And basically, it cuts wood use and cuts smoke to comparable levels. It's very,
very cheap. It's used with recycled metal material. And it's being picked up, not just in India.
You know, there have been studies in Kenya and Ghana with the same device with similarly positive
results that women are adopting this. And basically, guess how they found out how to do this?
Yes, gas women went and they asked women. It's revolutionary.
So what these researchers did that was different was they started off from the basis of what do
women actually need? What do women actually want? How can we provide that? And so the researchers
went and asked the women, you know, what is the issue? Rather than coming in from above and saying,
you women, you know, are very silly and naughty. Use the stove. I mean, when I read your book,
it's kind of both satisfying and enraging about it is that the solution is pretty simple.
It's just talk to women, gather data, and think of that while you're making things, or include
women in the process the whole time. Do you find yourself hopeful, just, just spirited angry?
Oh, I feel really angry. I am incredibly pissed off. Because it's, you know, it's, it's so
frustrating. And particularly when it comes to areas where I know that researchers know that
there is a problem. And, and, you know, I mean, I often get asked, you know, what's the most
shocking thing you found? And I understand why people ask that question. It's an obvious
question to ask because there are so many shocking things. But because there are so many shocking
things, it's quite difficult to pick one. And actually also, after a while, you become sort of
numb to it because it's also awful. And, you know, women are dying in car crashes, women are
dying from heart attacks, women are dying from unclean cook stoves. So after a while, it's not
the examples, it's the excuses that make you really angry. And to this day, I, I've had,
let's say, not entirely friendly exchanges on Twitter with certain researchers who actually say,
well, we can't test on women because they have periods. And that would complicate the results.
Yeah. And, and, and, and that's just in raging because they must know, as I know, that yes,
periods do, in fact, complicate the results. They have an impact on results.
That's right. That's the whole thing. But that's something that you, that's something that you
need to know. Yeah. And yet, you know, 2019, and I have medical researchers, you know, trying
the, oh, well, we'll start in men. And if we find anything interesting, then we'll include women,
which again, is positioning male as the default. And, and I suppose one of the things that
makes me most angry is that it's sort of thinking about how many drugs for women have we missed
out on because they didn't work for men when we started testing them. Do you see the, um,
the end of excuses, or, or like, is this, I mean, are we reaching an end where you can no longer
have these excuses, or is this still just as bad as ever? Um, well, we're definitely not reaching an
end. Um, yeah, I'm not trying to make you have a good view of this at all. I do, I do, I do, I show
your pessimism. Um, yeah. So I, I, I tell you what, you know, you asked me, how did I feel
writing the book and writing the book? I felt absolutely despondent. Since the book has come out,
I have felt more hope. Um, and that has been because the response has been actually quite
incredible, um, from both men and women. Um, women, the main response and, and reaction has just
been one of relief. Um, of, wow, the world suddenly makes sense. And I've realised that there
isn't something wrong with me. I just have a body that hasn't been factored into the design
of pretty much anything. Mm-hmm. But then also from men, um, I've had so many men get in touch
telling me about how they are changing their hiring procedure and how they are changing their
research procedure and how they are changing buildings that they're designing, incorporating what
they have read in the book into the way that they work projects that they are involved in.
So if you were to prescribe a solution, you know, to make this better, what are the strategies?
Oh, you know what my answer's going to be. Well, let's go, let's go for the answer.
Collect, sex, disaggregated data. Um, you know, because it really is that simple. It is that
simple. And actually, an amazing thing that happened, um, yesterday was, um, you know,
and I think this is perhaps my, my biggest win to date was that the Scottish government
have started a working group on collecting sex and gender disaggregated data, um, as a result of
the book. And that was, I mean, that's just amazing. Oh, yeah. God loves scots. They, I mean, they are,
they are great. And I'm going to have to move there, um, because when we Brexit, Scotland is
going to be the only safe haven. Caroline Criado Perez's book is called Invisible Women Data
Bias in a World Design for Met. It's available wherever books are sold. And I highly recommend you
go out and buy a copy because it's filled with hundreds of other examples of gendered data bias
that will have you questioning the default cis man design assumptions of the world around you.
It's truly illuminating and infuriating. And
inspiring all at the same time.
99% Invisible's impact design coverage is supported by Autodesk.
Autodesk supports the design and creation of innovative solutions to the world's most
pressing social and environmental challenges.
Autodesk Foundation is a proud partner of 60 decibels.
60 decibels makes it easy to listen to the people who matter most.
Their lean data approach turns customer voice into high value insights that help businesses
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They leverage the power of technology to communicate directly with marginalized communities, collecting
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To learn more, you can visit 60 decibels.com or go to Autodesk.com/redshift to explore more
on the future of making.
99% Invisible was produced this week by Joe Rosenberg, music by Sean Rial.
Katie Mingle is our senior producer Kurt Kohlstedt is the digital director.
The rest of the team is Emmett Fitzgerald, Senior Editor-Gelini Hall, Shary Fusef, Avery
Trouffelman Vivian Lee, Sophia Klatsker, and me Roman Mars.
We are a project of 91.7 K-A-L-W in San Francisco and produced on Radio Row in beautiful downtown
Oakland, California.
99% Invisible is a member of Radio Topia from PRX, a fiercely independent collective of
the most innovative shows in all of podcasting.
Find them all at radiotopia.fm.
You can find the show and join discussions about the show on Facebook.
You can tweet at me @RomanMars in the show at 99.pi org, run Instagram and read it too.
But if you want to comment on your least favorite examples of gender bias and design, you can
do that at 99.pi.org.
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Podcast Summary
Key Points:
The default male assumption in design leads to systemic gender bias, affecting everything from car safety to medical research and urban planning.
Women’s unique travel patterns, such as trip chaining, are often ignored in city planning, resulting in policies that disadvantage them—like snow plowing schedules that prioritize male-dominated routes.
Medical research and safety standards are largely based on male bodies, leading to higher rates of misdiagnosis, injury, and death for women in heart attacks and car crashes.
Traditional three-stone stoves in developing countries emit toxic fumes due to poor design, and their failure to be adopted stems from not being developed with input from women.
Solutions emerge when researchers directly engage women and ask what they need—such as a low-cost, affordable device that reduces smoke and wood use without requiring extra labor.
The absence of sex-disaggregated data in policy and technology perpetuates harmful design flaws, with women often wrongly blamed instead of design systems being reevaluated.
Improved outcomes come from collecting and using women’s lived experience in design, leading to better public health, safety, and equity.
The book *Invisible Women* exposes widespread data bias and has sparked real-world change, including policy shifts like Scotland’s new working group on gender-disaggregated data.
Summary:
The central theme of the transcript is the pervasive gender bias in design and data collection, rooted in the default assumption that a "typical" human is a cis man. This flaw manifests in everyday systems—from snow plowing in Sweden to medical research and car safety—where women’s experiences are systematically excluded. For instance, city snow removal policies ignored women’s complex travel patterns, leading to increased injuries and health costs.
In healthcare, heart attack symptoms differ in women, yet are overlooked due to male-centric research. Car crash test dummies are based on a 50th percentile male, increasing women’s risk of injury. Similarly, traditional cook stoves in developing nations emit toxic fumes, and their failure to be adopted stems from not being designed with women’s needs—such as time constraints and childcare—on the table.
The key solution, demonstrated by researchers in India, is to directly engage women and design products based on their real-world needs. This shift has led to better outcomes, such as low-cost, user-friendly smoke-reducing stoves. The broader lesson is that collecting sex-disaggregated data and involving women in the design process is essential for equity and safety.
The work of Caroline Criado-Perez in *Invisible Women* highlights how ignoring women’s realities leads to unnecessary suffering, and how real change begins when we stop blaming individuals and start redesigning systems. This awareness is already driving policy changes, like Scotland’s new gender data working group, proving that inclusive design is not only ethical but effective.
FAQs
The default male assumption leads to designs that ignore women's needs and behaviors, resulting in biased outcomes in areas like healthcare, transportation, and safety. This gap causes women to face higher risks, misdiagnoses, and poor functionality in everyday products.
Women are more likely to have heart attacks with symptoms like breathlessness, nausea, or fatigue rather than chest pain. These atypical symptoms are often missed by doctors, leading to misdiagnoses and higher death rates among women.
Traditional crash test dummies are based on a 50th percentile male, ignoring differences in body structure like pelvic shape and muscle mass. This leads to women being 47% more likely to suffer serious injuries and 17% more likely to die in crashes.
Three-stone stoves emit highly toxic fumes, exposing women and children to levels equivalent to over 100 cigarettes per day. These stoves are inefficient and require long cooking times, which women cannot afford due to time and labor constraints.
Instead of designing stoves from above, researchers asked women directly about their needs. They created a low-cost, affordable device that fits on existing stoves, reduces smoke and wood use, and has been successfully adopted in India, Kenya, and Ghana.
Collecting and using sex-disaggregated data — gathering data on both men and women — ensures that products and policies reflect real-world usage and needs, leading to safer, fairer, and more inclusive outcomes.
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