Tag Archives: science/technology

Google Maps and the Relative Importance of Native American Reservations

As we live our lives increasingly in the digital realm, the sights, sounds, and moving images of the internet impact our conception of the world around us. Take, for example, the many online mapping services.  What began as simple tools to find driving directions have evolved into advanced applications that map multiple layers of data.

But who decides what we see? What features are considered sufficiently important to be included? And what information about our country do those design decisions make invisible?

Here’s the map of South Dakota provided by Google Maps. Notice that the many Indian reservations are unmarked and invisible.  If you scroll in, eventually the reservations appear. At the state level, though, they’re invisible.

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In contrast, Indian reservations do show up on Bing:

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Among the other map services, Yahoo! Maps and MapQuest do label Indian reservations while OpenStreetMap does not.

While these mapping tools certainly empower the individual, it is the designers and the developers behind them who hold the real power.  I can only speculate as to why Google Maps does not include reservations at the state level, but their decision impacts the way we understand (or don’t understand) the geographic and social reality of this country.

Stephen Bridenstine is pursuing a history masters degree at the University of British Columbia, where he studies popular attitudes and public memory concerning Indigenous peoples, the historic fur trade, and the natural environment. He blogs about non-Native America’s weird obsession with everything “Indian” at his blog Drawing on Indians, where this post originally appeared.

This post was updated to reflect 2014; it originally appeared on SocImages in 2011.

Why Did Doctors Stop Giving Women Orgasms?

In her provocative book, The Technology of Orgasm, Rachel Maines discusses a classic medical treatment for the historical diagnosis of “hysteria”: orgasm administered by a physician.

Maines explains that manual stimulation of the clitoris was, for some time, a matter-of-fact part of medical treatment and a routine source of revenue for doctors. By the 19th century, people understood that it was an orgasm, but they argued that it was “nothing sexual.” It couldn’t “be anything sexual,” Maines explains, “because there’s no penetration and, so, no sex.”

So, what ended this practice? Maines argues that it was the appearance of the vibrator in early pornographic movies in the 1920s.  At which point, she says, doctors “drop it like a hot rock.” Meanwhile, vibrators become household appliances, allowing women to treat their “hysteria” at home. It wasn’t dropped from diagnostic manuals until 1957.

Listen to it straight from Maines in the following 7 minutes from Big Think:

Bonus: Freud was bad at this treatment, so he had to come up with some other cause of hysteria. After all, she says, “this was the guy who didn’t know what women wanted.” No surprise there, she jokes.

Lisa Wade is a professor of sociology at Occidental College and the co-author of Gender: Ideas, Interactions, Institutions. You can follow her on Twitter and Facebook.

How Fetal Photography Changed the Politics of Abortion

Flashback Friday.

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You have likely seen the image above.  The photograph of a 20-week old fetus was taken by Swedish photographer Lennart Nilsson.  Another of his photographs graced the cover of Life magazine in April of 1965:

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Nilsson’s images forever changed the way that people think about pregnancy, mothers, and fetuses.  Before Nilsson, the visual of a fetus independent from a mother was not widespread. His pictures made it possible for people to visualize the contents of a woman’s womb independently of her body.  Suddenly, the fetus came to life.  It was no longer just something inside of a woman, no longer even in relationship to a woman; it was an individual with a face, a sex, a desire to suck its thumb.

Once the fetus could be individualized, the idea that a woman and her fetus could have contrasting interests was easier to imagine. In many countries even today, the idea that helping pregnant women is helping fetuses and helping fetuses means helping pregnant women is still the dominant way of thinking about pregnancy. Pro-choice and other fetus-defenders, such as those who want it to be illegal to smoke during pregnancy, used these images to disentangle the interests of the woman and the fetus. The vulnerability of Nilsson’s subjects, free-floating in space, made it easier to portray fetuses as in danger.

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There is power in visualization and its technological advance and these images were a boon to the pro-life cause. Ironically, it was abortion that made these images possible. Nilsson posed the fetuses to look alive, and gives no indication otherwise, but they are actually photographs of aborted fetuses.

Although claiming to show the living fetus, Nilsson actually photographed abortus material obtained from women who terminated their pregnancies under the liberal Swedish law. Working with dead embryos allowed Nilsson to experiment with lighting, background and positions, such as placing the thumb into the fetus’ mouth.

– Quote from the University of Cambridge’s history of the science of fetal development

Liberal abortion rights laws resulted in a product that was used to mobilize anti-abortion sentiment.  Today it is par for the course to have been exposed to images like this. And the rest is history. Originally posted in 2009.

Lisa Wade is a professor of sociology at Occidental College and the co-author of Gender: Ideas, Interactions, Institutions. You can follow her on Twitter and Facebook.

Apple’s Health App: Where’s the Power?

In truth, I didn’t pay a tremendous amount of attention to iOS8 until a post scrolled by on my Tumblr feed, which disturbed me a good deal: The new iteration of Apple’s OS included “Health”, an app that – among many other things – contains a weight tracker and a calorie counter.

And can’t be deleted.

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Okay, so why is this a big deal? Pretty much all “health” apps include those features. I have one (third-party). A lot of people have one. They can be very useful. Apple sticking non-removable apps into its OS is annoying, but why would it be something worth getting up in arms over? This is where it becomes a bit difficult to explain, and where you’re likely to encounter two kinds of people (somewhat oversimplified, but go with me here). One group will react with mild bafflement. The other will immediately understand what’s at stake.

The Health app is literally dangerous, specifically to people dealing with/in recovery from eating disorders and related obsessive-compulsive behaviors. Obsessive weight tracking and calorie counting are classic symptoms. These disorders literally kill people. A lot of people. Apple’s Health app is an enabler of this behavior, a temptation to fall back into self-destructive habits. The fact that it can’t be deleted makes it worse by orders of magnitude.

So why can’t people just not use it? Why not just hide it? That’s not how obsessive-compulsive behavior works. One of the nastiest things about OCD symptoms – and one of the most difficult to understand for people who haven’t experienced them – is the fact that a brain with this kind of chemical imbalance can and will make you do things you don’t want to do. That’s what “compulsive” means. Things you know you shouldn’t do, that will hurt you. When it’s at its worst it’s almost impossible to fight, and it’s painful and frightening. I don’t deal with disordered eating, but my messed-up neurochemistry has forced me to do things I desperately didn’t want to do, things that damaged me. The very presence of this app on a device is a very real threat (from post linked above):

Whilst of course the app cannot force you to use it, it cannot be deleted, so will be present within your apps and can be a source of feelings of temptation to record numbers and of guilt and judgement for not using the app.

Apple doesn’t hate people with eating disorders. They probably weren’t thinking about people with eating disorders at all. That’s the problem.

Then this weekend another post caught my attention: The Health app doesn’t include the ability to track menstrual cycles, something that’s actually kind of important for the health of people who menstruate. Again: so? Apple thinks a number of other forms of incredibly specific tracking were important enough to include:

In case you’re wondering whether Health is only concerned with a few basics: Apple has predicted the need to input data about blood oxygen saturation, your daily molybdenum or pathogenic acid intake, cycling distance, number of times fallen and your electrodermal activity, but nothing to do with recording information about your menstrual cycle.

Again: Apple almost certainly doesn’t actively hate cisgender women, or anyone else who menstruates. They didn’t consider including a cycle tracker and then went “PFFT SCREW WOMEN.” They probably weren’t thinking about women at all.

During the design phase of this OS, half the world’s population was probably invisible. The specific needs of this half of the population were folded into an unspecified default. Which doesn’t – generally – menstruate.

I should note that – of course – third-party menstrual cycle tracking apps exist. But people have problems with these (problems I share), and it would have been nice if Apple had provided an escape from them:

There are already many apps designed for tracking periods, although many of my survey respondents mentioned that they’re too gendered (there were many complaints about colour schemes, needless ornamentation and twee language), difficult to use, too focused on conceiving, or not taking into account things that the respondents wanted to track.

Both of these problems are part of a larger design issue, and it’s one we’ve talked about before, more than once. The design of things – pretty much all things – reflects assumptions about what kind of people are going to be using the things, and how those people are going to use them. That means that design isn’t neutral. Design is a picture of inequality, of systems of power and domination both subtle and not. Apple didn’t consider what people with eating disorders might be dealing with; that’s ableism. Apple didn’t consider what menstruating women might need to do with a health app; that’s sexism.

The fact that the app cannot be removed is a further problem. For all intents and purposes, updating to a new OS is almost mandatory for users of Apple devices, at least eventually. Apple already has a kind of control over a device that’s a bit worrying, blurring the line between owner and user and threatening to replace one with the other. The Health app is a glimpse of a kind of well-meaning but ultimately harmful paternalist approach to design: We know what you need, what you want; we know what’s best. We don’t need to give you control over this. We know what we’re doing.

This isn’t just about failure of the imagination. This is about social power. And it’s troubling.

Sarah Wanenchak is a PhD student at the University of Maryland, College Park. Her current research focuses on contentious politics and communications technology in a global context, particularly the role of emotion mediated by technology as a mobilizing force. She blogs at Cyborgology, where this post originally appearedand you can follow her at @dynamicsymmetry.

The No. 1 Cause of Traffic Fatalities? It’s Not Texting, It’s Driving

I don’t yet have a copy of Matt Richtel’s new book, A Deadly Wandering: A Tale of Tragedy and Redemption in the Age of Attention. Based on his Pulitzer-prize winning reporting for the New York Times, however, I’m afraid it’s unlikely to do justice to the complexity of the relationship between mobile phones and motor vehicle accidents. Worse, I fear it distracts attention from the most important cause of traffic fatalities: driving.

A bad sign

The other day Richtel tweeted a link to this old news article that claims texting causes more fatal accidents for teens than alcohol. The article says some researcher estimates “more than 3,000 annual teen deaths from texting,” but there is no reference to a study or any source for the data used to make the estimate. As I previously noted, that’s not plausible.

In fact, only 2,823 teens teens died in motor vehicle accidents in 2012 (only 2,228 of whom were vehicle occupants). So, I get 7.7 teens per day dying in motor vehicle accidents, regardless of the cause. I’m no Pulitzer-prize winning New York Times journalist, but I reckon that makes this giant factoid on Richtel’s website wrong, which doesn’t bode well for the book:

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In fact, I suspect the 11-per-day meme comes from Mother Jones (or someone they got it from) doing the math wrong on that Newsdaynumber of 3,000 per year and calling it “nearly a dozen” (3,000 is 8.2 per day). And if you Google around looking for this 11-per day statistic, you find sites like textinganddrivingsafety.com, which, like Richtel does in his website video, attributes the statistic to the “Institute for Highway Safety.” I think they mean the Insurance Institute for Highway Safety, which is the source I used for the 2,823 number above. (The fact that he gets the name wrong suggests he got the statistic second-hand.) IIHS has an extensive page of facts on distracted driving, which doesn’t have any fact like this (they actually express skepticism about inflated claims of cellphone effects).

After I contacted him to complain about that 11-teens-per-day statistic, Richtel pointed out that the page I linked to is run by his publisher, not him, and that he had asked them to “deal with that stat.” I now see that the page includes a footnote that says, “Statistic taken from the Insurance Institute for Highway Safety’s Fatality Facts.” I don’t think that’s true, however, since the “Fatality Facts” page for teenagers still shows 2,228 teens (passengers and drivers) killed in 2012. Richtel added in his email to me:

As I’ve written in previous writings, the cell phone industry also takes your position that fatality rates have fallen. It’s a fair question. Many safety advocates point to air bags, anti-lock brakes and wider roads — billions spent on safety — driving down accident rates (although accidents per miles driven is more complex). These advocates say that accidents would’ve fallen far faster without mobile phones and texting. And they point out that rates have fallen far faster in other countries (deaths per 100,000 drivers) that have tougher laws. In fact, the U.S. rates, they say, have fallen less far than most other countries. Thank you for your thoughtful commentary on this. I think it’s a worthy issue for conversation.

I appreciate his response. Now I’ll read the book before complaining about him any more.

The shocking truth

I generally oppose scare-mongering manipulations of data that take advantage of common ignorance. The people selling mobile-phone panic don’t dwell on the fact that the roads are getting safer and safer, and just let you go on assuming they’re getting more and more dangerous. I reviewed all that here, showing the increase in mobile phone subscriptions relative to the decline in traffic accidents, injuries, and deaths.

That doesn’t mean texting and driving isn’t dangerous. I’m sure it is. Cell phone bans may be a good idea, although the evidence that they save lives is mixed. But the overall situation is surely more complicated than TEXTING-WHILE-DRIVING EPIDEMIC suggests. The whole story doesn’t seem right — how can phones be so dangerous, and growing more and more pervasive, while accidents and injuries fall? At the very least, a powerful part of the explanation is being left out. (I wonder if phones displace other distractions, like eating and putting on makeup; or if some people drive more cautiously while they’re using their phones, to compensate for their distraction; or if distracted phone users were simply the worst drivers already.)

Beyond the general complaint about misleading people and abusing our ignorance, however, the texting scare distracts us (I know, it’s ironic) from the giant problem staring us in the face: our addiction to private vehicles itself costs thousands of lives a year (not including the environmental effects).

To illustrate this, I went through all the trouble of getting data on mobile phone subscriptions by state, to compare with state traffic fatality rates, only to find this: nothing:

cellphones traffic deaths with NEJM.xlsx

What does predict deaths? Driving. This isn’t a joke. Sometimes the obvious answer is obvious because it’s the answer:

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If you’re interested, I also put both of these variables in a regression, along with age and sex composition of the states, and the percentage of employed people who drive to work. Only the miles and drive-to-work rates were correlated with vehicle deaths. Mobile phone subscriptions had no effect at all.

Also, pickups?

Failing to find a demographic predictor that accounts for any of the variation after that explained by miles driven, I tried one more thing. I calculated each state’s deviation from the line predicted by miles driven (for example Alaska, where they only drive 6.3 thousand miles per person, is predicted to have 4.5 deaths per 100,000 but they actually have 8.1, putting that state 3.6 points above the line). Taking those numbers and pouring them into the Google correlate tool, I asked what people in those states with higher-than-expected death rates are searching for. And the leading answer is large, American pickup trucks. Among the 100 searches most correlated with this variable, 10 were about Chevy, Dodge, or Ford pickup trucks, like “2008 chevy colorado” (r = .68), shown here:

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I could think of several reasons why places where people are into pickup trucks have more than their predicted share of fatal accidents.

So, to sum up: texting while driving is dangerous and getting more common as driving is getting safer, but driving still kills thousands of Americans every year, making it the umbrella social problem under which texting may be one contributing factor.

I used this analogy before, and the parallel isn’t perfect, but the texting panic reminds me of the 1970s “Crying Indian” ad I used to see when I was watching Saturday morning cartoons. The ad famously pivoted from industrial pollution to littering in the climactic final seconds:

Conclusion: Keep your eye on the ball.

Philip N. Cohen is a professor of sociology at the University of Maryland, College Park, and writes the blog Family Inequality. You can follow him on Twitter or Facebook.

When Wild Animals Use Human Technology… and the End of Times

Forgive me, because this is probably better left to Cyborgology, but something amazing is happening here. In the video below, nesting swallows become trapped in a building when they add doors. The birds soon learn, though, that they can get the doors to automatically open by triggering the motion sensors. This is a story, obviously, of how smart birds are, but here’s what struck me: we often think about human technology as for humans. In this case, however, birds adapted the technology for their own very similar needs (to get in and out).

If the workers had installed an older human technology — plain old doors — the birds would have been out of luck because they don’t have thumbs and the strength to manipulate an environment built for humans. But motion activated doors make both thumbs and strength irrelevant, so now birds are our functional equals.

This is fascinating, yeah? Our technology has advanced to the point where we’re potentially undermining our own evolutionary advantages. I’m not putting a moral judgment on it. I think morality is firmly on the side of non-fitness based decisions (eh em, social Darwinism). If one wants to theorize the relationship between animals, technology, and what it means to be human, however, this looks like gold to me.

Okay Cyborgology, your turn.

Thanks to Reuben S. for the tip! Cross-posted at Pacific Standard.

Lisa Wade is a professor of sociology at Occidental College and the co-author of Gender: Ideas, Interactions, Institutions. You can follow her on Twitter and Facebook.

Tuskegee Syphilis Study Recruitment Letter

Flashback Friday.

The Tuskegee Syphilis Experiment is one of the most famous examples of unethical research. The study, funded by the federal government from 1932-1972, looked at the effects of untreated syphilis. In order to do this, a number of Black men in Alabama who had syphilis were misinformed about their illness. They were told they had “bad blood” (which was sometimes a euphemism for syphilis, though not always) and that the government was offering special free treatments for the condition. Here is an example of a letter sent out to the men to recruit them for more examinations:

The “special free treatment” was, in fact, nothing of the sort. The researchers conducted various examinations, including spinal taps, not to treat syphilis but just to see what its effects were. In fact, by the 1950s it was well established that a shot of penicillin would fully cure early-stage syphilis. Not only were the men not offered this life-saving treatment, the researchers conspired to be sure they didn’t find out about it, getting local doctors to agree that if any of the study subjects came in they wouldn’t tell them they had syphilis or that a cure was available.

The abusive nature of this study is obvious (letting men die slow deaths that could have been easily prevented, just for the sake of scientific curiosity) and shows the ways that racism can influence researchers’ evaluations of what is acceptable risk and whose lives matter. The Tuskegee experiment was a major cause for the emergence of human subjects protection requirements and oversight of federally-funded research once the study was exposed in the early 1970s. Some scholars argue that knowledge of the Tuskegee study increased African Americans’ distrust of the medical community, a suspicion that lingers to this day.

In 1997 President Clinton officially apologized for the experiment.

Originally posted in 2009.

Gwen Sharp is an associate professor of sociology at Nevada State College. You can follow her on Twitter at @gwensharpnv.

“Black and White Twins” and the Social Construction of Race

Flashback Friday.

This remarkable newspaper article illustrates how skin color (which is real) gets translated into categorical racial categories (which are not).  The children in the images below — Kian and Remee Hodgson – are fraternal twins born to two bi-racial parents:

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The story attempts to explain the biology:

Skin colour is believed to be determined by up to seven different genes working together. If a woman is of mixed race, her eggs will usually contain a mixture of genes coding for both black and white skin. Similarly, a man of mixed race will have a variety of different genes in his sperm. When these eggs and sperm come together, they will create a baby of mixed race.  But, very occasionally, the egg or sperm might contain genes coding for one skin colour. If both the egg and sperm contain all white genes, the baby will be white. And if both contain just the versions necessary for black skin, the baby will be black.

Fair enough.

But then the journalist makes a logical leap from biological determinants of skin color to racial categories. Referring now to genes for skin color as “black” and “white” genes, she writes: “Baby Kian must have inherited the black genes from both sides of the family, whilst Remee inherited the white ones.”  And, of course, while both children are, technically, mixed race*, the headline to the story, “Black and White Twins,” presents them as separate races.

We’re so committed to racial differences that the mother actually speaks about their similarities as if it is surprising that twins of different “races” could possibly have anything in common.  She says:

There are some similarities between them. They both love apples and grapes, and their favourite television programme is Teletubbies.”

This is also a nice example of a U.S.-specific racial logic. This might not have been a story in Brazil at all, where racial categories are determined more by color alone and less by who your parents are.  It is not uncommon there to have siblings of various racial designations.

The twins, by the way, are seven now.

* Of course, identifying them as mixed race also re-inscribes racial categories in that you must believe in two or more racial categories to believe that it is possible to mix them.

Originally posted in 2008.

Lisa Wade is a professor of sociology at Occidental College and the co-author of Gender: Ideas, Interactions, Institutions. You can follow her on Twitter and Facebook.