Alexis C. Madrigal

Alexis Madrigal is a senior editor at The Atlantic, where he oversees the Technology channel. He's the author of Powering the Dream: The History and Promise of Green Technology. More

The New York Observer calls Madrigal "for all intents and purposes, the perfect modern reporter." He co-founded Longshot magazine, a high-speed media experiment that garnered attention from The New York Times, The Wall Street Journal, and the BBC. While at Wired.com, he built Wired Science into one of the most popular blogs in the world. The site was nominated for best magazine blog by the MPA and best science Web site in the 2009 Webby Awards. He also co-founded Haiti ReWired, a groundbreaking community dedicated to the discussion of technology, infrastructure, and the future of Haiti.

He's spoken at Stanford, CalTech, Berkeley, SXSW, E3, and the National Renewable Energy Laboratory, and his writing was anthologized in Best Technology Writing 2010 (Yale University Press).

Madrigal is a visiting scholar at the University of California at Berkeley's Office for the History of Science and Technology. Born in Mexico City, he grew up in the exurbs north of Portland, Oregon, and now lives in Oakland.

The Soul of a New (Facebook) Machine

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The rock music stopped. The lights dimmed. People in boots and heels scurried back and forth whispering. The music returned and faded away again. The Facebook "f" was projected on four screens in front of the room. A TV cameraman stood on a platform in the middle of the room. There were people in blue Facebook T-shirts behind me, and seven rows of journalists ahead of me. There was a hush. Excitement.

The executives walked out from backstage: Mark Zuckerberg, Peter Chou, CEO of HTC, Ralph De La Vega of AT&T, and three other Facebook higher-ups. The non-reporters to my left broke into applause. The gaggle of Facebook PR people whooped over my right shoulder.

"Hey," Zuckerberg said. The crowd laughed. "Today we're finally going to talk about that Facebook phone. Or more accurately, we're going to talk about how you can turn your Android phone into a great, simple social device."

We had gathered here today in Menlo Park to hear about a new, very deep integration between Facebook and the Android operating system that, for those who download it (it'll be available next Friday), will completely redefine their interactions with their phones. 

"Home" works like this: Instead of a traditional lock screen, visual content from the News Feed will be pushed to users. Once you unlock it, you'll see that same content, but you'll be able to interact with it. The pictures will flip automatically or you can do that part yourself. All messages will pop *over* whatever you're doing on the phone in little circles Facebook calls (seriously) Chat Heads. 

Facebook has not built its own operating system, if we take operating system to mean a way of running the guts of a computer. But if an OS is a way of interacting with a computer -- an interface and a philosophy -- then this is most certainly Facebook's entry into the OS wars.

"The home screen is really the soul of your phone," Zuckerberg said. "You look at it 100 times a day." And so, naturally, Facebook is going for the soul. But the biggest play here is not technical or strategic, but rhetorical. Facebook wants to change the way people think about technologies.

In his opening remarks, Zuckerberg immediately went to a higher register. He told us, as he normally does, that Facebook's mission is to "make the world more open and connected," because "these two concepts are a lot of what makes us human." (One can practically imagine Evgeny Morozov roaring, "WHAT DO YOU MEAN BY THIS OPPPPEEEENNNN?")

The human-centric nature of Facebook's approach remained at the core of Zuckerberg's pitch throughout the event. "What if instead of our phones being designed around apps, we flip that around?" he asked. "So that we made it so that our phones were designed around people first."

And by people, of course, Zuckerberg means "Facebook friends." Throughout Zuckerberg's talk, people and Facebook friends were used interchangeably. And for Zuckerberg and his employees, I think this is technically true. For them, all the people they care about are not only on Facebook, but active users who devote time and resources to building digital streams that are legible to other people as their lives.

So, while you can read the Facebook phone announcement as the story of the company's deeper integration with Google's Android operating system, I also read Facebook Home as a story of the integration that Facebook's employees have with their own product. And they'd like for the rest of the world to experience what they do. 

Really what I mean the business and accounting category of ROW, or Rest of World. With billions of people about to make the jump into Internetted life with a smartphone, not a computer, the very definition of 'computing,' is up for grabs.

"For more than 30 years, computers have mostly been about tasks. They were too expensive, clunky and hard to use for you to want to use them for much else," Zuckerberg said. "The modern computing device," by which he meant mostly phones, "is for making us more connected, more social, and more aware. And Home, by putting people first and then apps, by flipping the order, is one of the many small but meaningful changes with technology in time."

So Home is a move for the soul not just of the phone, but of the computer. "The very definition of what a computer is and what it should be [has not been decided], and when it is, I think a lot of that definition is going to be about people-first [i.e. Facebook friends first]," Zuckerberg said.

(Note the Borg Complex language: "is going to be about" rather than "we're trying to make be about.")

Why do I think it is so important not to allow Zuckerberg to redefine "people" as "Facebook friends"? Because we need to be able to evaluate this technology's impact very specifically within Facebook's culture and aims. 

Facebook Home is not a story about "making the world more open and connected," in general. This a story about Facebook "making the world more open and connected," with all the specific definitions the company brings to those ideas.

It's in that context, that you see industry watchers like Om Malik of GigaOm tweeting things like, "I am seriously concerned about Facebook Home and privacy challenges. They will know when we are sleeping. Where we live. Be careful," and Kashmir Hill, Forbes' privacy reporter, tweeting things like, "Facebook has come up with an excellent way to get people to have Facebook running on their phones all the time, collecting lots of GPS info."

Facebook does allow people to do things that they love to do. And that's what's great about the product. But it tries to hide the tradeoffs. 

 While Zuckerberg constantly calls on our desire to be social as a way of justifying the importance of Facebook, he refuses to think past the idea that Facebook is simply a tool for connecting with other people. It is a tool -- and that tool structure the way people experience each other. "There's this analogy where technology is a tool... one way I think about Facebook is that it augments your social sense," Zuckerberg said. "Humans are social."

It's not that I think Facebook communications are inferior to other ones, whether that's face-to-face, Twitter, talking on the phone, or standard text messaging. That's not the point. The point is that they are *not the same* as these other things.

As for the actual product itself, Facebook Home looks nice. It's pretty. The interface works in ways that will be easy to learn and understand. If it works as demo'd, I agree with Zuckerberg that it will be "the best version of Facebook there is."

Will it be worth opening up every part of your phone interaction to Facebook in order to access that experience? Do you want your definition of a computer to center on Facebook Friends and the limited et of actions you can take with them? I can't answer that for you, but I can say that it is a tradeoff, and the more you think about it, the better.

On the one hand, Zuckerberg will say, "Chat Heads give you this immediate personal connection to the people you care about." He'll then note, with a chuckle that's echoed by the audience, "The most fun thing is when you're done with them" -- that is to say these Chat Heads that are supposed to represent people -- "you just throw them away at the bottom."

Why take this chuckability seriously? Well, I'm only taking Facebook's ambitions seriously. They want these representations to *be* our friends. And then they have made throwing them away easy and fun, even going to the length to build realistic physics into the action.

Sure, it's fun. But it's also callow. 

Emerging Infectious Diseases, Better Public Health Outcomes, and Zombies

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Perhaps the public's obsession with zombies can be refracted from horror movies and towards health issues, suggests a new paper in the journal Emerging Infectious Diseases

The hope is that zombies can do for public health awareness what they did for Jane Austen: tack on some zombies and suddenly boring things turn exciting (see: Pride and Prejudice and Zombies*).

Rabies awareness, in particular, could benefit from the shambling hordes -- apparently because of the similarities between the actual symptoms of rabies and the fictional symptoms of zombies. "Zombie popularity may be a perfect opportunity to increase awareness of rabies," the UC Irvine team lead by Brandon Brown wrote.

The most prominent resemblance between those afflicted with rabies and zombiism begins at the mouth; both ailments are primarily transmitted through biting. While the pathogenesis for zombification is less consistent, rabies spreads through infected saliva entering the body. In addition, victims indicate infected status with increased production of fluid from the mouth; in the case of rabies, increased salivation occurs to improve chances of transmission. Rabies control in practice may be similar to hypothetical control of zombie outbreaks. For example, in 2008, Indonesian officials in Bali killed roughly 50,000 dogs in 5 days after an outbreak of rabies. This sparked a great deal of controversy, leading to the primary alternative of mass vaccination. If a zombie apocalypse were to occur, surviving humans might not have the capacity for mass vaccination. The sole option may be to kill the undead for human survival; however, the ethics of destroying something that was once human might be called into question.
One might ask: is rabies education actually a problem? It is, after all, preventable -- and deaths in the United States are now very rare. But a 2004 study found, rabies was "not effectively controlled throughout much of the developing world." In fact, the disease caused a health impact on part with dengue fever. Furthermore, the way rabies infections spread has changed. People used to contract rabies from domestic animals; now it is wildlife (bats, primarily) who host the virus. Americans should probably know this, just in case. 

And the paper draws on the successful outreach the Centers for Disease Control made in linking reports of zombie-ism to disaster preparedness to show that public health researchers can ride weird news to rech a greater audience. Zombies can be used as a thought experiment to probe the ethical dimensions of public health responses to disease outbreaks.

Or as the researchers put it, "We propose ... building on the popularity of zombies to increase public health awareness in the general public, and explore additional issues that may have not been considered in the past, such as infection control, mental health issues, ethics of disease, and bioterrorism potential."


* Actually, I love Jane Austen. Her narratorial control, the way she weaves subjectivities together, is subtle and thrilling. (And politically interesting.)

A Very Practical Guide for Breaking Into (Science) Writing

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Smithsonian Institution

Bora Zivkovic, the blog editor at Scientific American, and a central figure in the science blogging world, has penned a lengthy guide for writers trying to get in the game. Zivkovic has been thinking about and practicing many of the techniques he describes for years. And to my eye, this is some good, no-nonsense advice.

Try to figure out your beat (or obsession) - what is it that excites you the most? Write about that. Try to find your own niche. Become a "go to" person on a particular topic, become an expert (or at least a temporary expert) on that topic.

Ignore the "professional" advice about having to blog daily. It was a necessity a decade ago, not any more. In the days of RSS feeds and social media, it does not matter for your readers any more - they will find your posts no matter how infrequently you post. It only matters for you and your own writing habit that you blog with some regularity.

Also ignore the "professional" advice about writing relatively short blog posts. Leave that for brief news articles. Blog posts are longform, at least most of the time. And longform works online much better than short articles - the traffic keeps on giving for years, as people rediscover long posts, see them as resources, and share with their friends.

The best thing about the techniques for gaining attention and authority Zivkovic describes is that none of them are difficult to understand. If you've been a part of a good conversation filled with people who know the subject at hand, then you already know the basics of what you need to do to break into science blogging: contribute good information, listen, piggyback on other people's riffs, remember the interesting stuff.

Just start writing and call yourself a writer.

The Most Epic Frog Fail in Glorious High-Speed Video

The New York Times ran a dynamite story on dragonflies yesterday featuring a gallery of animated GIFs of dragonflies in flight. But it was a certain frog that really stole the show. Leaping after a dragonfly perched on top of a branch, the frog opens its massive mouth and extends its webbed feet in a vain attempt to ingest its prey. The fail is so epic and beautiful that even the researcher who created the video, Andrew Mountcastle, named the movie file "frogfail1.

For your viewing pleasure, please find two other gems from his collection -- frogfail2 and Ladybug Flight Fail -- below. The Ladybug Flight Fail is less epic, but more cute. A ladybug falling off a leaf? Every thing has bad days, I guess.

How to Count Komodo Dragons

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Komodo dragon and a critter cam. Note the hanging goat meat. (You could make a mean birria with that chunk.)

If I know one thing about komodo dragons, it is: you cannot ride a komodo dragon, no matter how much you'd like to.

If I know two things about komodo dragons, they are: you cannot ride a komodo dragon and that they are endangered in their native Indonesian-island habitats.

Because of the latter consideration, biologists want to be able to monitor the population of these top-of-the-food-chain predators, who kill with strong jaws and nasty venom. In the past, scientists tended to trap them in long metal cages baited with chunks of goat meat. Then they'd check the traps to get a rough count of how many dragons lived in a given area.

But that's expensive, time-consuming, and at least in some places, the dragons have wised up to the idea that the dragon-sized metal box with goat meat inside is a trap.

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If you look closely, you can see the scientists have written, "Not a trap," on the side.

So, an Italian-Australian-Indonesian team of researchers turned to a slightly less hands-on approach: the critter cam, in this case an off-the-shelf ScoutGuard 560V. They reported their results in a new paper in PLOS One.

They set out to address two key questions: 1) could these motion-detecting cameras, which use infrared sensors to detect heat, work with cold-blooded animals? 2) were the camera-based animal detections comparable to the data that could be obtained with traps?

In both cases, the researchers found positive results. The motion-detectors successfully detected the large lizards, despite not being warm-blooded like cuddly mammals. And they could model the relationship between trap detections and camera detections with some certainty. 

That's good news for conservationists struggling to protect these animals with little humanpower and less money.

"Firstly, moving to a camera-only method would considerably reduce time and labour costs and hence financial costs currently spent on trap-based Komodo dragon monitoring," the authors write. "Secondly, resource limitations have severely hampered managers of Komodo National Park in undertaking robust monitoring to census the status of Komodo dragon populations. Assuming provision of cameras, such a method could be employed within their existing funding to better enable them to conduct independent monitoring."

Via Scientific American

Did You Know Scallops Have *Eyes*? Me Neither, but Look

Unless you are an avid scuba diver, when you think of scallops, you probably think of linguine and garlic more than oceans and shells. That's because we only eat the muscle of the scallop: You never see them in context. 

And so ... one of the most shocking things I discovered researching animal vision was that scallops have eyes! Not only do they have eyes, they have dozens of them along the edges of their shell openings. And the weirdest part? In some species like the bay scallop, the eyes are the prettiest blue color. 

See: 

Gah! Try and saute up some scallops tonight after seeing that photograph. I dare you.

These eyes are not exactly competing with eagle eyes for visual acuity. But they do have some very strange and interesting features, as Sonke Johnsen explains in his surprisingly readable and fun book, The Optics of Life: A Biologist's Guide to Light in Nature. Each of these eyes has a tapeta, which is a biological mirror that sits on the back of the retina. In most nocturnal species, the tapetum (singular form) bounces light back through retina, allowing the photoreceptors in animals like cats and raccoons a second shot at capturing more light, which is key for seeing in very dim conditions. 

In scallops, however, the tapeta go above and beyond what they tend to do in other species. They're actually used to focus light, instead of a lens (or lens + cornea combo as in our eyes). Johnsen explains:

The tapetum behind the retinas is of such high optical quality that it focuses the light onto the retinas. The lens only appears to compensate for the fact that the mirror is spherical and not a parabola, as a perfect focusing mirror should be. This is one of only two cases in the animal kingdom where an animal has made a mirror of optical quality. Why the eye needs two retinas, why it uses a mirror, and why what is essentially a glorified clam needs fifty to one hundred good eyes are open questions that another of my former students, Dan Speiser, took on. My favorite experiment of his involved showing scallops movies of food (in the form of particles moving on a computer screen). The scallops, held in little seats, would open their shells to feed if the particles were big enough and not moving too fast, suggesting that at least one function of their eyes may be to assess conditions for filter feeding. It was a classic case of an experiment that nobody (including me) ever thought would work, but did anyway.

In case you're wondering, the other animal with an optical quality mirror in its eye is the deep-sea spookfish, Dolichopteryx longipes. Make sure to keep that one in your pocket as the follow-up bit of cocktail party chatter after you tell people about the scallops.

UPDATE!!! A reader sends in this captivating, creepy video of a Martha's Vineyard bay scallop. It was by technician Kathryn Markey of Roger Williams University.

You're Eye-to-Eye With a Whale in the Ocean. What Does It See?

03843_Beautiful Whale_Ch3_8 - Bryant and Can Opener I.jpgBryant Austin with Scar, a sperm whale (RED One camera video still by Bryce Groark, True Blue Films, 2011)

There is almost nothing about a whale's body that we can relate to. They breathe air like we do. They give birth to live young like we do. But the similarities seem to stop there. Their scale, body structure, and environment are all different.

But we do have a point of connection: the eyes. Both humans and whales are mammals, so our eyes are derived from a common ancestor. Not only can we look at whales and they can look back at us, but we know enough about optics to infer their eyes' capabilities from their anatomy. Animal eyes can be imagined as technological systems evolved with biological materials.

"We will make the fairly bold claim that it is sensible to approach eyes in essentially the same way that an optical engineer might evaluate a new video camera," write Michael Land and Dan-Eric Nilsson, the authors of the Oxford University Press treatment of our topic, Animal Eyes.

Their eyes capture light in ways we can understand. Their eyes have a focal length. Their eyes have a maximum resolution.

So, what does the world look like to a whale?

Here's what got me pursuing this line of inquiry. The photographer Bryant Austin makes life-size composites of whales: humpbacks, sperm whales, minkes. The results are sublime. Each fin, each ridge in the skin, seems worth pondering. Austin is especially obsessed with photographing their eyes, and with good reason.

whale_eye3.jpgSperm Whale Portrait 0321 (Enigma), 2009. (© Bryant Austin/studio: cosmos)

To create these images, Austin thought a lot about what kind of visual system could represent the experience of floating next to one of these creatures. Most whale photographers use wide-angle lenses to capture as much of the whale as possible at longer distances, but he realized that wide-angle lenses do not capture enough data to create high-resolution, life-size photographs of whales.

So, on a very fancy Hasselblad H3DII-50, Austin mounted an 80mm portrait lens with a narrow field of view. The consequences of that decision are startling: Austin has to get within ten feet of the whales, and he has to take many photographs from that distance in order to get enough photographs to stitch together the life-size portrait. In practice, that brought him eye-to-eye with these multi-ton animals time and again.

BeautifulWhale03843J-200.jpgBeautiful Whale, by Bryant Austin. Foreword by Sylvia A. Earle. (Abrams)

In his new book about his process, out next week, Beautiful Whale, he describes a moment where he came eye-to-eye with a sperm whale named Scar. "I lowered the camera so that our eyes could meet once again, I noticed his eye moving along the length of my body before returning to meet my gaze," Austin wrote. "As I reflect upon that moment and reconsider the question, 'What does it feel like [to be so close to whales]?' the only word that comes to mind is 'disturbing.'"

Why is it disturbing? Because, as Austin puts it, the whale challenges him "to reevaluate our perceptions of intelligent, conscious life on this planet." This mammal's eye -- lens, cornea, pupil, retina, photoreceptors and ganglion nerve cells -- is a direct passageway into its brain. And when we look at it, Austin can't help but see an intelligence there, a connection to a brain that, perhaps, works enough like ours for us to understand each other.

Coming eye-to-eye with a whale, we know what we see. We know how we see, too. Light passes into our eyes through the cornea, which actually does most of the focusing for our eyes. Then it moves through the aqueous humor, to the lens, which finishing up concentrating the light on the retina. The retina is packed with photoreceptors, the cones, which detect color, and the rods, which do not pick up color but are more sensitive in dim light. Specialized ganglion nerve cells pick up excitations from the light-sensitive cells and filter them for contrast (quite seriously: kind of like hitting the "enhance" button in Instagram). This is a wonderful operation. Leo Peichl at the Max Planck Institute for Brain Research, gave a great illustration of how important the ganglions' processing is.

"The ganglions sort of throw away the information about absolute light intensity," Peichl told me. "That's why we can read a book or newspaper at bright sunlight or candlelight, even though at bright sunlight, the black of the letters emits more light than the white paper would in candlelight." In either situation, you see black letters on white paper, even though the raw unfiltered light information is vastly different. (Though obviously, you remain aware that it is brighter outside at noon than next to a candle light.)

Our vision is best where there are the densest collections of all these specialized vision cells. In humans, that's an area called the fovea. We are a weird baseline from which to examine other eyes because we have extraordinarily sharp vision, the sharpest among mammals. Only eagles and hawks can top the discriminating performance of our eyes. We may long to see like cats at night, but our maximum visual acuity (in good light) is many times better than theirs. And bees, just as an example from outside mammalia, have the equivalent of 20/2000 vision. They see with 100 times less visual acuity than we do.

Compared with most mammals (I swear we'll get back to whales in a moment), humans have remarkable color vision as well. We can distinguish big chunks of the colors in the green, red, and blue parts of the spectrum. It's not nearly as impressive as some visual systems, which can detect other parts of the electromagnetic spectrum, but when it comes to mammals, humans and some other primates are living the technicolor dream. Color vision is trickier than it seems at first. It's not that we see blue with blue photoreceptors and red with red photoreceptors. "What provides the sensation of color is our ability to compare how much light each receptor class collects," Duke's Sonke Johnsen, author of the book Optics for Biologists, told me. The leaves of a vine reflect more green light at our eyes than the red bricks on which they are climbing. So our green photoreceptors pick up more light where the leaves are and our red photoreceptors pick up more light where the brick is.

Most mammals have dichromatic vision. They can see color, but they cannot discriminate along the red-green axis. Humans with this relatively rare type of color blindness have a hard time differentiating between red and green, as well as colors close to them like oranges and browns, as one blogger describes it, depending on how saturated and bright the color is.

In general, mammals don't have the best color vision. In part, that's because our ancestors developed trying to see in the dark, not out in the bright sunlight. "There was a time where to be a mammal was to be a small, nocturnal, rodent-like mammal," said Duke's Sonke Johnsen, author of the book, The Optics of Life. Both humans and whales retain the marks of that evolutionary path. "Our color vision is kind of a kluge," Johnsen continued. "If you look at the color vision of birds and reptiles and fish. It's very well put together, nicely optimized. You look at our trichromatic vision, it's really kind of pieced together."

BeautifulWhale_p72-73.jpgScar, the morning of February 9, 2009. (© Bryant Austin/studio: cosmos)

Whales, unlike nocturnal rodents or ourselves, see the world in monochrome. Leo Peichl at the Max Planck Institute for Brain Research co-authored a paper with the nearly tragic title, "For whales and seals the ocean is not blue." Indeed, the first thing that we can know for sure about how whales see the world is that it exists only in shades of gray. The water we see as blue they would see as black. "They do want to see the background. They want to see animals on the background. And the animals on the background are reflecting light that's not blue," Johnsen explained. If we try to imagine what that might look like, Johnsen said perhaps we could picture a grayscale photograph of people wearing fluorescent clothes under a black light.

When it comes to the optics of whale eyes, the first difference we should note is that its cornea -- the outermost layer of the eyes -- doesn't help it nearly as much as ours helps us. We live in air, which has a different refractive index than the material of the cornea. When light enters our cornea, it bends inward. You know how pencils appear to bend when you put them in a glass of water? That's refraction, and our eyes exploit it to help focus photons on the central part of our retinas. Johnsen told me roughly 70 percent of the work of focusing light on our eyes is done by the cornea before the light even reaches the lens. But that's a clever terrestrial trick. In water, the refractive index of the cornea and water are roughly the same, which means that marine mammals don't get that pencil-going-into-water light bending help. "The lens has to do everything in the whale eye," Peichl said. While our lenses are flattish, theirs are circular in order to provide sufficient focus.

Now, when we talk about the resolution with which whales see the world, it helps to bring back the video camera metaphor for eyes. Whales, like other mammals, are trying to balance the sharpness of their eyes with their sensitivity. Sharp vision requires lots and lots of individual photoreceptors. But in low-lighting conditions, it's hard for the photoreceptors to gather enough photons. The image gets "noisy."

Photographers run into this problem all the time, too. What do you do in lower light settings? The first thing you might do is put a lens with the largest possible aperture on the camera to let in more light. The same goes for eyes: the whale's big cornea and large pupil opening means that it has a huge aperture. It's gathering up a lot of photons.

And it's got a biological mirror at the back of its eye, the tapetum lucidum, which is helping it capture even more light than our own eyes can.

But vision isn't all the optics. Other capabilities matter, too, like the size of the sensor that picks up all that light. We measure that kind of thing in the megapixels of the charge-coupled device, or CCD, in the camera. There's a similar principle at play in biological camera eyes. If an organism wants to see better, it has to have a lot of photoreceptors. More photoreceptors equals more pixels. A big difference here is that CCDs capture what hits them equally. Retinas have areas of greater or lesser rod and cone density that tends to coincide with where the light is being focused. This makes a lot of sense: Evolution has put the most sensors where the most light falls.

The light detecting system, however, is more complex than we find in any digital camera. Photoreceptors send their information to ganglion nerve cells, which integrate them, dynamically increasing the size of the photoreceptor. That increases sensitivity by cutting down on the noise problem, but it decreases the acuity because each "pixel" gets largely, i.e. it has to represent a larger portion of the physical world.

What's fascinating is that by looking at the ganglion cells, researchers can calculate the maximum resolution that a particular eye could have, inferring capabilities from the anatomy alone. That's helpful in species like whales where behavioral tests aren't generally possible.

03843_Beautiful Whale_Sperm_21 - Sperm Whale Composite Two.jpgSperm Whale Composite Two, April 2011. The working file is roughly 60 gigabytes in size and required more than 240 gigabytes of memory in Photoshop. (© Bryant Austin/studio: cosmos)

The measurement that people tend to use here is cycles per radian, and it defines how well a given eye can discriminate between two lines next to each other. An eagle is up over 8,000 cycles per radian. A human eye registers an impressive 4175. A cat is down around 570. And researchers working with minke whales estimate that it is down with the rabbits and elephants at around 230.

Though it's probably not advisable to attempt a translation from this visual acuity to the more familiar units from your optician's office, I'm going to do it anyway. If normal human good vision is 20/20, a whale might rank somewhere like 20/240. That sounds pretty bad, but if you, like me, have a glasses prescription of -5.00, you almost certainly have worse visual acuity than a normal minke whale. (Of course, you can see colors, so count your blessings.)

But it's not easy to make the comparison between human vision and whale vision. It's definitely weirder than that. One fascinating aspect of cetacean eye anatomy is that it appears that whales don't have one central area for higher-resolution imaging like humans. Instead, they appear to have two areas of dense cell concentrations, according to a 2007 paper in the Anatomical Review. These match up with a strange feature of the cetacean pupil: It closes like a smiling mouth, and when it's very tightly constricted, it has two small circular areas that remain open.

Contrast that with the way our eyes work: when they constrict, the larger circle of our pupillary opening simply becomes a smaller circle, still focused on the on the fovea. For a whale using its eyes, two distinct spots would be in the best focus. I think that is impossible to imagine what it might be like to have two centers to one's vision.

Trying to imagine what a whale might see becomes even more difficult when we take into account the actual eye positioning for most whales. Whale eyes are located on the sides of their heads. This is roughly the opposite of our own visual system. We have two eyes facing forward with a ton of visual field overlap. Or as Herman Melville wrote in Moby Dick, "For what is it that makes the front of a man -- what, indeed, but his eyes?" His narrator is staring at a sperm whale head, a lifeless version of the same creature that Austin the photographer encountered.

Looking at the eyes, placed on opposite sides of the head, Ishmael wonders about the whale mind relative to our own:

How is it, then, with the whale? True, both his eyes, in themselves, must simultaneously act; but is his brain so much more comprehensive, combining, and subtle than man's, that he can at the same moment of time attentively examine two distinct prospects, one on one side of him, and the other in an exactly opposite direction? If he can, then is it as marvellous a thing in him, as if a man were able simultaneously to go through the demonstrations of two distinct problems in Euclid. Nor, strictly investigated, is there any incongruity in this comparison.

It is no surprise that we use the same word for refracting light into a particular location as we do for directing our consciousness to a particular idea or object: focus. We focus our attention. But what if there are multiple points of focus -- not just the two eyes, but the two focal points on the retina. To grasp after Melville's question, how could an organism make sense not just of its visual surroundings, but, its own sense of coherence or conscious unity? (I imagine the 90s sitcom, Herman's Head, in which four separate characters live within one guy's mind.)

There is just so much difference to try to cross with a human mind.

I asked Peichl and Johnsen to speculate on what it might be like to have an eye on either side of your head, dual monocular vision.

"Perhaps the two eyes get very different parts of the visual field and environment. I don't know how they integrate that," Peichl said. "Usually in the brain... there is a high connectivity that connects the two hemispheres and makes that into a perceptual unity of just one continuous visual field. Something like that probably also exists in whales because they have to have some kind of perceptive unit of their environment, a unitary percept of their environment."

And Johnsen: "They have two completely independent fields of view. God knows what they do with that. The internal perception, how do they represent that? Is it like two screens in their head? Do they stick it together? We don't deal with that because we don't have a region of our field of view that's like that," he said. "For all we know, they represent sonar information as vision. We think they hear a bunch of clicks, but for all we know, it is represented in a visual spatial form in their heads."

Then he said something that's key to understanding what we can know about the vision, and maybe the minds of whales: "All we really know is what they can't do." They don't have binocular vision. They couldn't read the big E on a chart at the eye doctor's office. Their ocean is not blue.

But when it comes to what it's like *inside* those big heads, we're almost no further along than Melville's guess more than 150 years ago.

"The whale, therefore, must see one distinct picture on this side, and another distinct picture on that side; while all between must be profound darkness and nothingness to him" he wrote. "Man may, in effect, be said to look out on the world from a sentry-box with two joined sashes for his window. But with the whale, these two sashes are separately inserted, making two distinct windows, but sadly impairing the view."

At this boundary between the brain and mind, it is tempting to both know too much and to speculate too little. I choose to believe that we can blindly cross the blankness that is the perceptual gap between intelligent species.

John Jeremiah Sullivan took up this cause in a new essay in the latest Lapham's Quarterly. He, too, reached back before the neuroscience era to come up with a way of thinking about animal consciousness. Where Descartes saw animals as automata, Baruch Spinoza saw them as more like us, and that our inability to imagine what was going on inside their brains was not proof that the lights were on, but that nobody was home.

"Accepting that no two consciousnesses can ever have transparency, or at any rate can never have certainty about it, leaves us on some level cosmically alone," Sullivan writes. "Spinoza takes the notion in stride. He'd be more prone to say, Well, no doubt we sometimes understand each other."

ellaeye.jpgJuly, 2009. Ella's eye. (© Bryant Austin/studio: cosmos)

Coming improbably eye-to-eye in the ocean, in a monochrome or trichome moment of wonder, a human and a whale could even be sharing a thought,: "Hello, intelligent creature floating in the sea. Don't kill me."

In Beautiful Whale, Austin describes an encounter with Ella, a curious minke whale off the coast of Australia. He was taking photographs as Ella swam around. The whale liked to look at him head on, a fact that Austin used to maneuver her into better lighting. Her desire to see his face was strong enough that she'd swim around him, if he turned his back to her.

"This requires some discipline and trust in the whales. At times Ella would initiate a close inspection of me from behind, where ambient lighting was poor. Peering over my shoulder, I could see her body pass by less than six feet away. I turned back to face forward, trusting her not to accidentally harm me," Austin writes. "In my experience working with whales this way, our eyes seem to gravitate toward each other." 

On that particular day, he spent six hours with the whale. At one point, he hopped out of the water to change batteries and memory cards. As he was standing on the deck, one of the animals went vertical and popped its head out of the water, which is called "spyhopping." 

The animal looked directly at Austin, and looking back, he saw a distinctive marking: it was Ella. She was keeping an eye on him.

Report: Marissa Mayer Might Kill Off Yahoo's Content Business

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Reuters

Business Insider has an appropriately insidery take on Marissa Mayer's plans for Yahoo. Mayer wants to get rid of its original content business, the report says, in favor of user-generated content and media partnerships.

This is the key quote in the BI story, sourced to a "recently departed Yahoo executive":

Marissa may be a product genius, but Yahoo as it stands at the moment is an ads-for-content company, and she has shown no sign of recognizing that or valuing the profitable, good content businesses. I just don't get why you would destroy your functioning content businesses while doing a major revamp of the tech side. Why not revamp mail and search and apps and leave the cash-delivering content businesses alone? At least until the big stuff is accomplished.

If we take this exec's word for it, what's interesting is that content is making Yahoo money and yet they want to kill it off. Why? Content makers can't catch a break.

The Mythology of the Mainframe

Mainframes occupied an interesting spot in the American imagination. The mainframe, in the movies, was an incantation: it conjured up all the mysterious power and glory of technology. The mainframe could compute not just faster, but other. 

The mainframe was an oracle that had secrets and power, but it was locked away in the bowels of a corporation or government, hard to reach physically, hard to reach digitally. The quest to get into the mainframe -- by either means of egress -- could form the backbone of a movie, and it took a hero, or as often, a classic Lord-of-the-Rings-style team of wizards and warriors, tricksters and average Joes. I always loved that the stories tended to unite the nerdy hackers with the brawny people of action, both their skills required to acquire the power within; it was a recognition of the dual nature of computers as physical objects and hosts for digital information. And so often, it seemed, the action turned on getting into the space that connected these two realities. The mainframe was unhackable unless they were in the room, in which case, it was simple. Or they couldn't break into the room without a hacker using the mainframe itself to help the physical assault. 

I got to thinking about all this because of the supercut you see above, which was created for the site Slacktory and posted on Laughing Squid. It's a testament to a lost story plot and a slowly disappearing type of computing architecture. The mainframe hasn't really gone away. IBM still sells a few billion dollars' worth of these machines per year. And the general model they represented of a very reliable machine for processing zillions of transactions has been taken up by everyone. We all access powerful servers that are faster than the mainframes of decades past. But the power of the idea of the mainframe is gone. It's been decomposed into its constituent parts and cycled up into the cloud.

Your Friday Photo Blog: Thumbs and Ammo

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Steven Leckart spotted this most excellent blog: Thumbs & Ammo. The conceit? Replace the guns in famous famous movie stills with thumbs. The motto? "Real tough guys don't need guns, they just need a positive, can-do attitude." Beyond the blog, you can follow them on Twitter: @thumbsandammo

Say what you will, but I still love some good Photoshop culture jamming.

The True Story of the Government Programs That Tried to Build an Atomic Heart

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In 1967, the National Heart Institute and the Atomic Energy Agency began a ten-year effort to develop an artificial heart powered by plutonium-238. The atomic hearts would have pumped human blood with the energy provided by the radioactive decay of that isotope. The effort failed thanks to technical challenges, intra-governmental infighting, and the souring of the public mood about both medical devices and atomic energy, but it remains a fascinating episode at the confluence of two grand American dreams.

This is the story told by Shelley McKellar, who teaches the history of medicine at at the University of Western Ontario in the most recent issue of the quarterly journal Technology and Culture

The Federally funded programs continued for a decade, sometimes at cross-purposes, and they foreshadowed the rhetoric that came to surround later attempts at creating other types of artificial hearts in the 1980s. There are lessons to be learned, McKellar implies, about how people receive a particular technology changes along with the social and regulatory environment. Ideas that make sense one decade can seem totally ridiculous ten years later.

But, you might be asking yourself, "What in the hell was anyone even thinking trying to stick a radioisotope generator into a human being's chest cavity?"

Fair question.

If you take the goal for an artificial heart to be the true replacement of the human heart in perpetuity, then power becomes a primary concern, trumping all other engineering constraints. When contractors like Westinghouse Electric and McDonnell-Douglas offered bids for the government work, they made sure to note the atomic solution as the only possibility.

"Each proposal declared the radioisotope-powered engine as the only possible energy solution for a completely implantable device." McKellar explained. "The ideal implantable device meant no external lines or connections from the patient to outside power sources and a ten-year reliability span. By comparison, conventional batteries required recharging multiple times each day from an external source and would need to be explanted from patients every two years."

And, if you're a promoter of the value of radioisotopes in all things, then you might go looking for places where power is a primary concern. As one William Mott, who became the project coordinator the Atomic Energy Commission's atomic heart program put it, "We were always on the alert for new problems to match with our solutions."

Looking back, it's fascinating how confident the scientists of the time were that the engineering challenges of embedding a radioactivity-powered device into a body could be overcome. The NHI and AEC battled over the proper way of conducting the research: the NHI created a non-atomic intermediary device that they implanted into animals, while the AEC promoted an all-at-once design strategy. But both agencies saw the problems as fundamentally soluble.

With the benefit of 50 years of hindsight, we know that, so far at least, there is no "ideal implantable device." Total artificial hearts (as distinguished from heart assist devices) are, at best, a stopgap measure. They're used to as a last-ditch bridge measure while patients await transplants of other human hearts. We've learned a lot of other things about cardiology in the last 50 years, but one thing remains: nothing we can make comes close to working as well as your heart except another human heart.

That is to say: The craziest part of the atomic artificial heart program wasn't the atomic part. 

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The 'Canonical' Image of a Drone Is a Rendering Dressed Up in Photoshop

The media of the drone war is not like the media of World War II or Vietnam. Largely, it does not exist outside official government releases. We see the aftermath of explosions, sometimes, but almost never the actual movements of unmanned aerial vehicles as they strike in Somalia or Afghanistan. The secretive and globe-spanning nature of the conflict means that journalists are rarely close to the action. And even if they were positioned nearby, it would be next to impossible to catch a drone in an act of war.

And yet, James Bridle notes, this image, nominally of a Reaper drone, exists and it is everywhere.

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He calls it "the most widely reproduced image" of a drone and says it's become the "canonical" version of the technology. Because of its ubiquity it has come to symbolize the drone war, at least within some technological domains like Google Images, where it is the first result returned when you search "drone." 

And the picture, decontextualized and then recontextualized, even shows up on the streets of Karachi. Here, we see a protester posing in front of a poster-sized version for a Reuters photographer. 

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But working on a hunch, Bridle did a little snooping and discovered that the image is a fiction, one that has come to represent the very real drone war. 

The Canon Drone is indeed entirely unreal. A close inspection, and comparison with other Reaper images, including 09-4066, bears this out almost immediately. The level of detail is too low: missing hatches on the cockpit and tail, the shape of the air intake, the greebling on the fins and body. That 'NY' on the tail: it's not aligned properly, it's a photoshop. Finally, the Canon Drone's serial, partly obscured, appears to be 85-566. The first two numbers of USAF serials refer to the year an aircraft entered service: there were no Reapers back in 1985 (development didn't even begin until 2001).

The Canon Drone does not exist, it never has. It is computer generated rendering of a drone, a fiction. It flies over an abstracted landscape - although perhaps the same one as another canonical image, this Predator in flight, which, while unmarked, at least appears worn enough to be believable.

When I tweeted this story, user @piombo, did some quick sleuthing. He dropped the image into Google and added the text search "rendered." It popped up within a forum devoted to 3D modeling in a February 2009 post by Michael Hahn, who created this image. I emailed Hahn to learn more about how the image was created. He sent over a quick narrative and the original rendering from the 3D modeling software package MODO.

screenshot0.jpg "I then pieced together the planes insignia for references images found on wikipedia and google searches," Hahn said. "I choose the 174th attack wing insignia because they are located about 20 miles from where I live." That got the image to this state: 

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The background came from a now-difficult-to-find Flickr image of the Afghani landscape, and through the magic of Photoshop, Hahn had created this (check out the layers on the right side):

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None of which answers why this particular rendering became the top ranking image of a drone, though Hahn has some ideas.

"I am not sure how it become the number one image of drones," Hahn told me. "I think at the time I created it was one of the few images available. The only places I posted the image online were to a couple 3d sites. Here. and here. People must have got the image from either one of those sites."

Why'd people buy this image, which, on even a little closer inspection is clearly a rendering? Bridle thinks drones "always appear otherworldly." And truly, even in photographs I know are real, they seem more rendering than material object.

And, as importantly, I also think Americans craved (and crave) some way of understanding the war part of the drone war. How do these things actually work? How do they fire? How do they kill?

Hahn hinted at something like this in his own process. "I had never seen an image of a drone actually firing a missile so that is what I decided to create," he said. And suddenly, everyone else, who also had never seen a drone actually firing a missile, had a way of seeing with their own eyes.


Powerful Tornadoes Can Transport Photographs Over 200 Miles

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This metal poster, bearing the likeness of a Smithville, Mississippi child who died of bone cancer in 1998, flew more than 50 miles to Russellville, Alabama, where it was recovered, and eventually reunited with the child's parents through Patty Bullion's Facebook page.

When a series of EF5 tornadoes, the most powerful on the scale, hit Alabama and areas of surrounding states, houses were torn apart, their contents scattered by the winds. Almost all the photographs, diplomas, magazines, and objects were lost, but a few were found thanks to a collective effort organized through a Facebook page created by Patty Bullion, a resident of Lester, Alabama, population 111.

"I got on Facebook right after the storm," Bullion told ABC News about the page's creation. "A friend of mine who lives down the road posted that it was raining pictures -- falling out of the sky."

"A friend of mine who lives down the road posted that it was raining pictures."

The page she made, called "Pictures and Documents found after the April 27, 2011 Tornadoes," began with items she found in her own yard, but expanded as more people heard about the page and contributed belongings they'd found. Within a year, more than 100,000 people had "liked" the page and 1,700 items were returned to their owners through the simple matchmaking of the project.

This attracted the attention of John Knox, a weather and climate scientist at the University of Georgia. He'd studied meteorology at the University of Wisconsin-Madison, where Charles Anderson had done a pathbreaking study on the debris fallout from the Barneveld Wisconsin tornado, and was familiar with the work of John Snow at the University of Oklahoma, who extended the study of debris through aggregating historical newspaper accounts. Both efforts suffered from the same defect: it was hard to build a large enough dataset to offset the low precision of many reports. In the past, it was simply logistically, practically difficult to find a lot of people who had both lost and found items.

That is, until Bullion created her Facebook page, and through word-of-mouth, people across the region made it into the hub for returning items to their owners. Knox knew a novel dataset when he saw one, and he contacted Bullion, who allowed his students to access her Facebook account. They painstakingly took the postings and turned them into structured data that they could study. Out of respect for tornado victims, Knox decided against contacting people who'd lost items, sacrificing some data and precision. He called his decision-making process "data mining with a heart."

With that limitation in place, they set about figuring out which objects had defined beginning and endpoints. They were aided by the fact that many of the towns in which people lost and found items were geographically small, so they could circumscribe both poles of the trajectory easily. Still, they had to throw out 800 objects for which they could not ascertain decent geo-data.

What remained was the most impressive database of tornado debris takeoff and landing points ever assembled. The largest previous dataset (Snow's) had 163 objects drawn from decades of historical accounts. This was 934 objects from a single tornado outbreak.

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This chart shows the distance different types of objects traveled during the storms. A light object is defined as weighing less than one pound; a heavy object is over one pound. No light or heavy object traveled more than 90 miles.

In tornado studies, new work with dual-pol radar has been showing that debris gets very, very high in these storms. Riding 100 mile-per-hour updrafts within a tornado and slower but still strong updrafts within their parent thunderstorms means that light objects and paper are ending up miles in the air.

Some pieces of paper were transported 200 miles by the storms.

"There is a real sense [debris] is going up at least six kilometers into the storm," Knox said. "What I'm hearing from meteorologists who are using the dual-pol radar technology is that they are seeing debris at 20,000 feet and sometimes more."

Which would explain how, in Knox's study, some pieces of paper debris ended up more than 200 miles away. Their hypothesis, as noted, is that the debris shoots up the tornadoes, where much of it is held aloft for around 100 miles, and that tends to fall slightly to the left of the tornado track, as the storms are pushed north by winds from the south. But some debris seems to end up riding the updrafts up and right out of the top of the thunderstorms. Up there, it would meet with the jetstream, which would push the debris a long way and land it farther eastward than the tornado track or other debris.

"Trajectories based on the takeoff and landing points of lost-and-found objects revealed that most debris was deposited 10 degrees to the left of the average tornado track vector," Knox and his co-authors wrote. "However, objects that traveled the longest distance were found approximately 5 degrees to the right of the average tornado track vector."

That would explain the results we see below, where some debris has shifted over the paths of other objects in an eastward direction. "That had not been seen in any previous study, but it makes a lot of sense. Once you see it, you say, 'Oh, that's what happened,'" Knox told me.

As for the artifacts that became Knox's data, a new page has sprung up on Facebook created by professional photo restorers. They're going through the photographs from the storm and trying to put the pieces back together again. Anyone can find it at, "Pictures and Documents found after April 21, 2011 Tornadoes RESTORED."

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From Nuclear Weapon to Children's Toy

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Rene Burri

Here, we see children riding the casing for a nuclear weapon.

The casing is like the one that contained Fat Man, one of the two nuclear bombs that the United States dropped on Japan at the end of World War II. Americans deployed the original Fat Man on Nagasaki, where it killed an estimated 74,000 people. The casing you see above is located at White Sands Missile Range, near the Trinity Site, where the first Bomb was tested.

Via Alex Wellerstein, nuclear historian at the American Institute of Physics

The 10 Minutes When Scientists Brought a Species Back from Extinction

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Tucked inside Carl Zimmer's wonderful and thorough feature on de-extinction, a topic that got a TEDx coming out party last week, we find a tantalizing, heartbreaking anecdote about the time scientists briefly, briefly brought an extinct species back to life.

The story begins in 1999, when scientists determined that there was a single remaining bucardo, a wild goat native to the Pyrenees, left in the world. They named her Celia and wildlife veterinarian Alberto Fernández-Arias put a radio collar around her neck. She died nine months later in January 2000, crushed by a tree. Her cells, however, were preserved.

Working with the time's crude life sciences tools, José Folch led a Franco-Spanish team that attempted to bring the bucardo, as a species, back from the dead.

It was not pretty. They injected the nuclei from Celia's cells into goat eggs that had been emptied of their DNA, then implanted 57 of them into different goat surrogate mothers. Only seven goats got pregnant, and of those, six had miscarriages. Which meant that after all that work, only a single goat carried a Celia clone to term. On July 30, 2003, the scientists performed a cesarean section.

Here, let's turn the narrative over to Zimmer's story:

As Fernández-Arias held the newborn bucardo in his arms, he could see that she was struggling to take in air, her tongue jutting grotesquely out of her mouth. Despite the efforts to help her breathe, after a mere ten minutes Celia's clone died. A necropsy later revealed that one of her lungs had grown a gigantic extra lobe as solid as a piece of liver. There was nothing anyone could have done.

A species had been brought back. And ten minutes later it was gone again. Zimmer continues

The notion of bringing vanished species back to life--some call it de-extinction--has hovered at the boundary between reality and science fiction for more than two decades, ever since novelist Michael Crichton unleashed the dinosaurs of Jurassic Park on the world. For most of that time the science of de-extinction has lagged far behind the fantasy. Celia's clone is the closest that anyone has gotten to true de-extinction. Since witnessing those fleeting minutes of the clone's life, Fernández-Arias, now the head of the government of Aragon's Hunting, Fishing and Wetlands department, has been waiting for the moment when science would finally catch up, and humans might gain the ability to bring back an animal they had driven extinct.

"We are at that moment," he told me.

That may be. And the tools available to biologists are certainly superior. But there's no developed ethics of de-extinction, as Zimmer elucidates throughout his story. It may be possible to bring animals that humans have killed off back from extinction, but is it wise, Zimmer asks?

"The history of putting species back after they've gone extinct in the wild is fraught with difficulty," says conservation biologist Stuart Pimm of Duke University. A huge effort went into restoring the Arabian oryx to the wild, for example. But after the animals were returned to a refuge in central Oman in 1982, almost all were wiped out by poachers. "We had the animals, and we put them back, and the world wasn't ready," says Pimm. "Having the species solves only a tiny, tiny part of the problem."

Maybe another way to think about it, as Jacquelyn Gill argues in Scientific American, is that animals like mammoths have to perform (as the postmodern language would have it) their own mammothness within the complex social context of a herd.

When we think of cloning woolly mammoths, it's easy to picture a rolling tundra landscape, the charismatic hulking beasts grazing lazily amongst arctic wildflowers. But what does cloning a woolly mammoth actually mean? What is a woolly mammoth, really? Is one lonely calf, raised in captivity and without the context of its herd and environment, really a mammoth?

Does it matter that there are no mammoth matriarchs to nurse that calf, to inoculate it with necessary gut bacteria, to teach it how to care for itself, how to speak to other mammoths, where the ancestral migration paths are, and how to avoid sinkholes and find water? Does it matter that the permafrost is melting, and that the mammoth steppe is gone?...

Ultimately, cloning woolly mammoths doesn't end in the lab. If the goal really is de-extinction and not merely the scientific equivalent of achievement unlocked!, then bringing back the mammoth means sustained effort, intensive management, and a massive commitment of conservation resources. Our track record on this is not reassuring.

In other words, science may be able to produce the organisms, but society would have to produce the conditions in which they could flourish.

17,616 Men Went to the ER for Zipper-Related Penis Injuries Between 2002 and 2010

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Careful  (flickr/twodolla)

Staring down at a zipper, it makes little sense that this object's two sets of teeth would line the primary means of egress for one's penis during everyday bathroom use.

The original American zipper brand was Talon, for crying out loud.

Are there no alternatives? Of course there are. Zippers were not even in common usage until the 1920s, we find in Robert Friedel's study, "Zipper: An Exploration in Novelty." In 1937, a zipper company memo held, "Retailers were made to worry that they could be held legally liable if a man injured himself with the newfangled machine on his trouser fly." Nowadays, button-fly pants abound, selling alongside their more dangerous brethren. Also, velcro exists. We don't need zippers.

Perhaps zippered pants remain in circulation because harm to one's genitals only exists in jokes or urban legend. As University of Utah folklorist Jan Brunvand would have it, "[F]olkloric zipper stories, especially stories involving troublesome zipper flies on men's trousers, became part of the cultural history of the product."

Brunvand continues, "The possibility of a man zipping part of himself into a pants zipper fly must occur to many men." But really, who would believe that this happens? 

Not even when one is in a real hurry or the hole formed by the fly is uncomfortably narrow or in a dimly lit bathroom could such a grave mistake ever be made. No one actually gets his penis stuck in the zipper of his pants, right?

Wrong. A new paper in urology journal BJU International puts data to the folklore: "Zip-related genital injury." 

Between 2002 and 2010, 17,616 people went to the emergency room with zip-related genital injuries. And as the University of California, San Francisco team put it, "The penis was almost always the only genital organ involved." (Which is good news for testicles everywhere.) Those roughly 2,000 injuries per year represent about one-fifth of annual penile injuries and "amongst adults, zips were the most frequent cause of penile injuries."

The authors conclude that the problem affects both adults and children and that "practitioners should be familiar with various zip-detachment strategies for these populations."

For our age of lowered expectations, a new benediction: May you never have to become familiar with any zip-detachment strategy.

Via Brian Frank

Today in Terrifying Drones: A Quadcopter With a Claw for Snatching

A novel fear enters the nightmares of modern life: being snatched from above by a robot with an eagle-like talon.

Most days, American military drones engaged in combat across the world are scary enough. But some days, swarms of little drones are scarier. Other days it's drones with really, really high-resolution cameras. Or drones deployed by Homeland Security.

Today, The Verge brings word of a novel kind of drone behavior, as freaky as the last. This unmanned aerial vehicle has a claw dangling beneath it designed -- like an eagle talon -- for snatching stuff at high speed. We're talking "pickup velocities" of two to three meters per second, or 7 miles 380 miles per hour! Which is a little less terrifying.  

Take a look at the video. I don't think my anti-drone hoodie  -- or scarf -- would save me.

Toward a Complex, Realistic, and Moral Tech Criticism

Evgeny Morozov's second book is a brilliant, confounding work of creative destruction.

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Evgeny Morozov delivering a lecture sponsored by Stanford's Program on Liberation Technology (Alexis Madrigal) in January, 2013.

What critics of literature do not both love and hate the subject of their scholarship? The very strength of a critic's love is what inspires such dogged meaning- and fault-finding in the reality of any work.

This is also true for writer and thinker Evgeny Morozov, though it is not literature but technology that must bear the privilege of his evisceration. His books read like letters from a jilted lover, full of accusations of unmet promises, lost potential, and occasionally, a glimmer of that initial spark of attraction.

And he is a truly great critic. Morozov's work reveals new things about how technology works in our society at this particular moment in time. His analysis may be cutting, but he doesn't hate technology. On the contrary, Morozov's ultimate goal is to destroy the ideology of technology, so that particular technologies can be used in specific situations without the baggage of other people's nonsense.

Morozov's second book, To Save Everything, Click Here: The Folly of Technological Solutionism, is the most wide-ranging and generative critique of digital technology I've ever read. There's so much substance to argue about between its covers. At the center of it all, there's a brilliant, idiosyncratic mind at work.

Describing and destroying two concepts -- "Internet-centrism" and "solutionism" -- form the core of his book, and both are fascinating frames for the discourse surrounding our network technologies.

Internet-centrism is the idea that our society, and particularly its public intellectuals, have become fascinated by the notion that the Internet is a stable and coherent force in our lives. He rails against the idea that this force shapes things autonomously, or that it has any inherent qualities, or that we have to listen to what "the Internet" wants on a topic like openness, for example. Morozov's goal is to force everyone to write the Internet with quotes -- like this: "the Internet." This, he feels, better implies the complexities of the Internet's social creation and casts doubt on its power as an independent force with its own ahistorical rules.

His analysis here is a full-frontal attack on the shorthand thinking that's come to dominate many discussions about the role of digital technologies in the world. It's a valuable contribution in many ways; he demands that we think seriously about the Internet, I mean, "the Internet." I do think that Morozov has succeeded in doing a lot of damage to the idea that "'the Internet' is a useful analytical category." And to perform a deconstruction in public and for a general reader is a feat of magic that borders on necromancy. Who knew people still wanted to read books like this?

Morozov's "solutionism" is something else altogether. In it, he's identified a key strain of modern political and social thought, synthesizing a wide variety of domains, technologies, and types of arguments into something we can ponder and argue about. I find myself coming back to this idea time and again while listening to advocates and opponents of particular technologies. I would not be surprised if describing the contours, origins, and failings of this way of thought are what Morozov is remembered for. I think it will become the concept that generates its own set of literature. He writes:

Recasting all complex social situations either as neat problems with definite, computable solutions or as transparent and self-evident processes that can be easily optimized--if only the right algorithms are in place!--this quest is likely to have unexpected consequences that could eventually cause more damage than the problems they seek to address. I call the ideology that legitimizes and sanctions such aspirations "solutionism." I borrow this unabashedly pejorative term from the world of architecture and urban planning, where it has come to refer to an unhealthy preoccupation with sexy, monumental, and narrow-minded solutions--the kind of stuff that wows audiences at TED Conferences--to problems that are extremely complex, fluid, and contentious. These are the kinds of problems that, on careful examination, do not have to be defined in the singular and all-encompassing ways that "solutionists" have defined them; what's contentious, then, is not their proposed solution but their very definition of the problem itself. Design theorist Michael Dobbins has it right: solutionism presumes rather than investigates the problems that it is trying to solve, reaching "for the answer before the questions have been fully asked." How problems are composed matters every bit as much as how problems are.

This analysis, which runs throughout the entire book, is really, really interesting. I'm going to get into the details soon, but my main worry is that solutionism, even accepting Morozov's framing, contains some elements worth preserving. Indeed, there is a reading of this book (an unkind one, for sure) that finds it deeply anti-progressive and almost frighteningly supportive of the status quo in politics and elsewhere.

All of which makes the book a delight: It's a high-wire performance, a feat of intellectual daring. He goes to war with almost everybody else who thinks about the Internet's people, institutions, and technologies in the public eye: Nicholas Carr, Clay Shirky, David Weinberger, Tim Wu, Kevin Kelly, Farhad Manjoo, Steven Johnson, Gary Wolf, among others. Sometimes, he wins easily. Sometimes, he tangles himself into knots trying to defeat every possible enemy and defend against every possible counterargument. In all cases, he is worth reading, even if you vehemently disagree.

The only comparable experience I've ever had was reading Vaclav Smil on energy: Frustrating, enlightening, and counterintuitive in the best meaning of the word. Of course, if you're interested in the Internet, you should read it. And I think historians in 2030 or 2050 will use this book to highlight the anxieties and debates of our time, pretty much all of which it attempts to tackle at once.

On the other hand, I'm not sure that they'll read it as a fair or grounded representation of the state of technology. Morozov's mode, while learned and theoretically grounded, is not as deeply authoritative as it appears. There is little actual evidence that many of the phenomena he highlights are actually occurring in the way he says they are. Granted, that's not his focus. I recognize fully that Morozov's project is in the realm of ideas, ideology, and the sociology of knowledge.

But there's often not even an attempt to line up reality with his anecdotes and projections. He relies time and again on scenarios, little flights of fancy, that are neither thought experiment nor forecast, but something more opaque. Even within the logic of the book itself, it's difficult to compare his scenarios to one another. There's little consistency among them in terms of plausibility or time-scale. If you look closely, you're left wondering: is this something that is already happening, might happen in a year, could happen in 10 years, or is a logical possibility in a century? Quite-close-to-real scenarios are delivered with the same rhetorical weight as truly wild Morozovian nightmares.

Let me give just a few examples.

Here's one section from Morozov's chapter on predictive policing in which he introduces a real product, ShotSpotter, a microphone sensor system that lets police (in Oakland, say) identify where gunshots are fired. Watch how he slides from there to a much stranger idea without blinking:

These systems are not cheap--ShotSpotter reportedly charges $40,000 to $60,000 a year per square mile--but they are hardly the latest word in crime detection. Why bother with expensive microphones if smartphones can do the job just fine? It all boils down to designing an appealing and nonintrusive app and creating the right incentives--perhaps by appealing to the moral conscience of citizens or by turning crime reports into a game--so that citizens can take on some of the tasks of faulty sensors and easily distracted human.

From an actual, deployed system to a nightmarish sousveillance scenario in one sentence. Could such a system work? Would this be appealing to institutional players or people? Why even bother, if you're the cops? Is anyone even thinking about doing this in one, five, or even 20 years? What gives him the idea this might happen? I don't know. There's certainly nothing in the quite extensive (and welcome) footnotes to explain this leap.

When police talk about predictive policing, they're talking about putting cops in the areas most likely to experience a crime. That's actually a far cry from "preventing" crime. In practice, the Los Angeles Police Department, which Morozov uses as his example, only has officers to patrol a tiny percentage of the city, even in the zones where a model might say crime is most likely to occur. The institutional reality of the LAPD is that they could never prevent a substantial percentage of all crimes, even if they knew precisely, not probabilistically, where such activity might occur. The same is true for every police department. So how likely is it that we'd prevent all crime, as Morozov impishly suggests throughout the chapter? It's not that I expect him to deal in the probabilities, but to couch his criticisms within a realistic framework.

Or how likely is it that tweeting about yogurt will bring police to your door? Is it more or less likely than the other scenarios Morozov discusses?

As companies like ECM Universe accumulate extensive archives of tweets and Facebook updates sent by actual criminals, they will also be able to predict the kinds of nonthreatening verbal cues that tend to precede criminal acts. Thus, even tweeting that you don't like your yogurt might bring police to your door, especially if someone who tweeted the same thing three years before ended up shooting someone in the face later in the day.

Or that acts of civil disobedience will become impossible, as in this remarkable bit of short fiction?

Now, imagine that [Rosa] Parks is riding one of the smart buses of the near future. Equipped with sensors that know how many passengers are waiting at the nearest stop, the bus can calculate the exact number of African Americans it can transport without triggering conflict; those passengers who won't be able to board or find a seat are sent polite text messages informing them of future pickups. A smart facial-recognition scheme--powered by video cameras at bus stops--keeps count of how many people of each race are waiting to board and divides the bus into two white and black sections accordingly. The bus driver--if there still is one--can tap into a big-data computer portal that, much like predictive software for police, produces historical estimates of how many black people are likely to be riding that day and calculates the odds of racial tension based on the weather, what's in the news, and the social-networking profiles of specific people at the bus stop. Those passengers most likely to cause tension on board are simply denied entry. Will this new transportation system be convenient? Sure. Will it give us a Rosa Parks? Probably not, because she would never have gotten to the front of the bus to begin with. The odds are that a perfectly efficient seat-distribution system--abetted by ubiquitous technology, sensors, and facial recognition--would have robbed us of one of the proudest moments in American history.

How are we to compare this to the tweeting-about-yogurt-brings-the-cops scenario, or the-general-elimination-of-all-crime, to the citizen-phone-surveillance scenario? Are they all equally likely? What evidence do we have to evaluate whether these are real thought experiments, predictions, or rhetorical devices? What are the odds, anyway, of any of these stories, even in concept, actually occurring?

Morozov also gives a weak-tea history of Parks herself:

This courageous act was possible because the bus and the sociotechnological system in which it operated were terribly inefficient. The bus driver asked Parks to move only because he couldn't anticipate how many people would need to be seated in the white-only section at the front; as the bus got full, the driver had to adjust the sections in real time, and Parks happened to be sitting in an area that suddenly became "white-only."

Parks did not just happen to be riding the bus in the spot where she was. Rather, she was a committed civil-rights activist with more than 10 years of activism under her belt and a plan for how to disrupt what was already a system designed to minimize disturbances. Parks' training, agency, and forethought are significant because they complicate the freaky scenario Morozov conjures in which no one could possibly find a way to protest a "smart" but unjust system powered by sensors and big data. The Parks incident was a calculated and principled act of defiance that was designed to strike exactly at a weak spot in the segregation system. It makes you think: Wouldn't other activists find their way around even Morozov's most implausibly nightmarish scenario? Not to mention that her act, while important, was one tiny piece of a movement that involved hundreds of thousands of people. Are we really supposed to believe that smart buses would have stopped the civil rights movement?

These are fascinating speculations, informed by all the intellectual weapons of western civilization. But he's going on intuition.

Of course, he might (and does) argue that these systems make it harder for dissidents, that they decrease the probability of people seeing civil disobedience, that the possibility of finding a way around the system is no reason to allow the creation of the system. I agree! And think he is making a good and important warning rooted in deep, serious moral thought. That's precisely why I find myself wishing he had better, more anchored what-ifs.

The point is: These scenarios, and there are dozens and dozens of them, operate on a specific worldview and contain a likely set of actors and outcomes. Each one is an argument, in short, for which Morozov provides only the scantest evidence. These are fascinating speculations, informed by all the intellectual weapons of western civilization. But he's going on intuition.

I like his intuition. I value it. But I don't want to have to take his word for it.

Despite these narrative flaws, much of Morozov's chapter on predictive policing and situational crime prevention is brilliant. As an attack on the ideology of these concepts, it is devastating, especially through a fascinating application of the legal theorist Roger Brownsword's hard-hitting framework on the registers (moral, prudential, practicability) on which regulation can work. You could very well enter this chapter thinking you support predictive policing and come out the other end with a changed mind. It is that persuasive. But the means of raising the emotional stakes, even to this great end, strike me as dangerous. They end up looking like the mirror image of promoters' pamphlets. Like them, Morozov struggles to keep his own imaginings in proper perspective.

Now, I want to turn to one particular example: his drubbing of self-tracking. By focusing on this single case, we can go beyond the general pronouncements about his work to see the brilliant and frustrating individual moves that Morozov uses to make his arguments.

* * *

Morozov likes to build an argument from some anecdotes downward, starting with a seemingly preposterous idea drawn from our current reality, locating its intellectual foundations in a contemporary thinker's work and then drilling down relentlessly from there, looping back to the original target as he goes. In his chapter on self-tracking and the quantified self movement, it is Gary Wolf whom he goes after, and, to a lesser extent, Kevin Kelly. No matter what you think about the critiques themselves, Wolf and Kelly are well-chosen targets as they have been thinking about and promoting the generation of data about oneself for years.

Morozov argues forcefully against first self-quantification, then quantification, then the "numeric imagination," then measurement itself, and, finally, the objective fixity of facts. Do you see what happened there? We went from a debate about whether or not to wear a pedometer to a debate about whether numbers can adequately represent anything in the world. This movement happens with terrifying speed in Morozov's work.

I want to walk through this movement from the base upwards because I think it's his foundational criticisms that tend to be the best, and the arguments get less persuasive the further he gets from the philosophical bases of his objections.

Down at the bottom, Morozov displays a deep, well-founded distrust of the way humans construct models of the world with numbers. Despite considerable controversy, this type of thinking is prevalent and well-supposed by a substantial literature in science and technology studies. "Bruno Latour distinguishes between 'matters of facts,' the old unrealistic way of presenting all knowledge claims as stable, natural, and apolitical," Morozov writes, "and 'matters of concern,' a more realistic mode that recognizes that knowledge claims are usually partial and reflect a particular set of problems, interests, and agendas."

This is a direct attack on whatever claims people might make that they have authority based on the neutral collection of data about "reality." He asks of these modes of investigation: "When do they suppress conflicting interpretations of reality? What do they conceal and make invisible, and is this something we can afford to lose sight of? How might they be invoked in the name of seemingly unrelated political projects?" And how might the answers to those questions change how we understand "the facts," such as they are presented.

These are important questions and they relate directly to his next target: measurement. He quotes a historian who has written about measurement to say, "we . . . need to keep reminding ourselves of the human purposes that led us to create [the measurement] in the first place--and where, if at all, it interferes with any of these purposes." Because our tools will always capture the world in imperfect ways.

To Morozov, quantifying the self is a crime against the self. It forecloses possibilities, narrows one's vision.

Again, this is a vital and important chunk of foundational knowledge that is common in science and technology studies, but absolutely absent from most of the popular rhetoric about data, open or otherwise. Any human survey will have the mark of human hands upon it, and laundering that reality through numbers does not change the underlying nature of these knowledge creation projects.

Moreover, Morozov argues, using these numbers limits the powers of moral and social imagination that we might otherwise employ. "We can further contrast 'narrative imagination' with the somewhat oxymoronic 'numeric imagination,' which can be defined as the predisposition to seek out quantitative and linear casual explanations that have little respect for the complexity of the actual human world." We need to tell ourselves stories about the world (Martha Nussbaum's "narrative imagination") because, as Nussbaum writes, "citizens cannot relate well to the complex world around them by factual knowledge."

OK, but what's so wrong with using numbers anyway? So they are imperfect, but they're better than nothing, one might argue, and at best they are a complement to the narrative imagination, providing a valuable check on the biases of storytelling. (In fact, I will argue this shortly.) Morozov counters that not only do numbers not provide an adequate representation of the world, but they displace all other possible representations. "It's this imperialistic streak of quantification--its propensity to displace other meaningful and possibly intangible ways of talking about a phenomenon--that is so troubling," he writes. This, in turn, leads to a "narrowing of vision." Numeric imagination crowds out narrative imagination.

Soon we reach his main attack on quantification, which contains some of the best sections in the entire book. Here, he commands a flurry of arguments and thinkers to take on quantification as a practice. "Nietzsche understood that quantifiable information might be nothing but low-hanging fruit that is easy to pick but often thwarts more ambitious, more sustained efforts at understanding," he begins the assault. It is hard to measure the things that matter, Morozov asserts, and what you can measure is almost always a simplification of the world. The political and moral assumptions and implications that should have traveled with the quantification get stripped out, letting all those things move unchallenged into discourse. He accuses quantification of laundering politics, essentially, and I think he's damn right a lot of the time.

He makes a smaller, but no less powerful critique of quantification as an enabler of what I call overoptimization. Citing technology critic Steven Talbott, he cites the danger of positive feedback loops driving forward only those aspects of society that can be easily modeled and computed.

We need an ethics of quantification, Morozov cries, and I cry with him. When is it good? When is it bad? How can it be used to further our ends, as opposed to being celebrated as its own end?

And finally, we get to his objections at the very top of this huge pile of philosophy, history, and political theory. You can imagine, if this was your understanding of the world, as rooted in your scholarship, why it might get your hackles up when Gary Wolf says, "Many of our problems come from simply lacking the instruments to understand who we are. ... We lack both the physical and the mental apparatus to take stock of ourselves. We need help from machines."

Wolf, in this account, takes the hit for the entire enterprise of data collection. But he also endures a withering assault for his conception of self. "Members of the Quantified Self movement may not always state this explicitly, but one hidden hope behind self-tracking is that numbers might eventually reveal some deeper inner truth about who we really are, what we really want, and where we really ought to be," Morozov writes. "The movement's fundamental assumption is that the numbers can reveal a core and stable self--if only we get the technology right."

To Morozov, quantifying the self is a crime against the self. It forecloses possibilities, narrows one's vision. And worse, it does it for others, not just you. Privacy, he argues persuasively, can only be understood in social context: What I choose to disclose impacts your future disclosure options.

"Your choice to quantify yourself (for personal preference or profit) thus has deep implications if it necessitates my 'choice' to quantify myself under the pressure of unraveling," he quotes legal scholar Scott Peppet. "What if I just wasn't the sort of person who wanted to know all of this real-time data about myself, but we evolve an economy that requires such measurement? What if quantification is anathema to my aesthetic or psychological makeup; what if it conflicts with the internal architecture around which I have constructed my identity and way of knowing?"

There you have it: measurement, quantification, facts, the possibility of understanding the self through numbers. All are dispatched in one throbbing mass of interconnected passages.

Then Morozov attempts to think through the ethics of quantification in a short section on education and a larger dive into nutrition, calorie-counting, and fitness apps.

And it's here where I think the flaws in Morozov's approach become clear. Despite the rigorous philosophical underpinnings, the sheer thoroughness of the thoughts in this chapter, there's something missing: people. And I don't mean that in a loosey goosey way. His clever use of anecdotes makes it appear as if he's discussing the way that human beings interact with self-tracking devices, but they are not a serious account of practice.

Morozov's book is an innovation- and product-centered account of the deployment of technology. It focuses on marketing rhetoric, on the stories Silicon Valley tells about itself. And it refutes these stories with all the withering contempt that a brilliant person can muster over the course of a few years of dedicated reading and writing. But it does not devote any time to the stories the bulk of technology users tell themselves. It relies on wild anecdotes from newspaper accounts as if they were an adequate representation of the user base of these technologies. In fact, the sample is obviously biased by reporters writing about the people who sound the most out there.

"Celebrating quantification in the abstract, away from the context of its use, is a pointless exercise," Morozov writes, and yet he ends up doing excoriating quantification in the abstract. When he does apply his thinking to the specific case of nutrition aids, it is with some serious handwaving. Calories are not an adequate measure of overall nutrition content, he writes, and thinking narrowly about nutritional content is a boon for food companies, and maybe calories aren't even really the problem. All fine and valid ideas, but knowing how many calories you eat is a good starting point for good health, no? This has been well-established by the medical and public-health literature. And, in any case, tracking one's caloric intake is not a search for a "core and stable self." And if your calorie counter doesn't share your data, it could be a private practice. What if you write it in a book as has been done for decades, or in the iPhone's notes, rather than an official app? Is that OK? What about non-tweeting scales, are those anathema as well? Should the ethical concerns Morozov presents really prevent actual human beings from trying to understand the basics of their food intake?

Or take the use of pedometers, gussied up into packages like the Nike Fuel Band, Jawbone Up, or Fitbit. There are literally hundreds of thousands of pedometers and other activity monitors out there in America, but Morozov does not try to investigate how such devices are used. Are the people buying FitBits and Nike Fuel Bands trying to reveal deep inner truths about themselves? Are they sharing every bit and bite with friends? Or are they trying to lose a few pounds in private?

Look at what Amazon can tell you about the market for these devices: people who bought FitBits recently also bought diet books, scales, and multivitamins. While Morozov locates self-tracking "against the modern narcissistic quest for uniqueness and exceptionalism," it strikes me that I've yet to meet someone wearing a fitness tracker who wasn't engaged in that least unique American activity: weight management.

There are structural reasons for this. Americans are trying to deal with an "obesogenic" environment. Where and how we live is making us fat, relative to Americans of the past and many other countries. Tens of millions of people have low-activity jobs or don't work and access to lots of relatively inexpensive food. We move around in a built environment that militates against actually moving one's body. Of course, there are other non-technological solutions to this problem: reform the Farm Bill, regulate unhealthy foods, change distribution systems in low-income neighborhoods, redesign food consumption experiences under public control, and create denser, more walkable neighborhoods that encourage walking or biking as transportation. And, yes, activists of many different stripes are working on precisely these sorts of proposals.

Journalists like Michael Pollan have spent years explicating these hard, hard problems, and what policies might alleviate them. But reform remains elusive, and not for the reason that Morozov states. "One potential problem with quantification is that it encourages the government not to bother with painful structural changes and simply to delegate all problem solving to citizens," Morozov argues. "Why bother with regulating highly processed foods or improving access to farmers markets and prohibiting fast-food chains from advertising to youngsters? After all, we can simply empower individual citizens to monitor how many calories they consume and not bother with any of these initiatives, pretending that obesity is just the result of weak-willed individuals ignorant of what they are eating."

But the problem is: This is already the default posture that companies exploit to fight agriculture and food-system reform. It is not self-tracking that has created this perception of individuals, nor is it self-tracking corporate dollars that sustain their political fight. The real political action is elsewhere. It is simply not true that wearing a pedometer or other activity monitor is actually hurting activism by giving policymakers a technological, non-collective loophole. Or if it is, those effects are somewhere down there below the top 25 reasons that changing our farms and development practices are difficult political propositions. You'll find it wedged in between the sugar beet and bat guano lobbies, far below where the actual game is.

This is what I mean when I say that Morozov sometimes loses sight of the relative significance of his critiques. Despite all the important foundational work he's done, Morozov falls prey to his own intellectual creation, technology-centrism.

Without a functioning account of how people actually use self-tracking technologies, it is difficult to know how well their behaviors match up with Morozov's accounts of their supposed ideology. While he argues that the numeric and narrative imaginations cannot co-exist, most people are less dogmatic about how data could be used. People are pretty good, I think, at integrating what data they get from the outside world with their own theories of life and experience. We know the number on an odometer is not the only way to judge the condition of a car, and remain susceptible to the stories of a good used car salesperson.

Morozov only supplies a single anecdote of a normal user of self-tracking technology. This account, drawn from Forbes reporter Kashmir Hill's experience, demonstrates precisely that self-tracking will always be embedded within other types of thought, even though Morozov does not recognize it as such.

[Hill] expresses a sense of befuddlement over what to do with the results of one such self-tracking experiment. Thanks to some clever software, she finds out, "I'm happiest when drinking at bars (duh); least happy on planes and at work (ahem); Sunday is my happiest day of the week followed by Wednesday; I'm just as happy alone as with other people, and I'm happier interacting with my ex than with my current boyfriend." What to do now, though, Hill doesn't know. "I'm at a slight loss for what to do with these results. Does this mean I should spend more time in bars and less time at work to optimize my happiness? And should I rethink my relationship?"

The problem is that, as firm, scientific data, these results have no standing. As moral prompts to action or conclusions drawn from months of self-reflection, they hold no standing either, for clearly Hill did not deliberate much about her drinking or working habits in the process of using the software.

Well, first, there's no real reason to think Hill did not deliberate much about her "drinking or working habits." That's just an assumption. Maybe she obsesses about them. Second, she's in the process of using her narrative imagination to connect the data to her life. Isn't this the very way that Morozov wishes people used self-tracking, to gain self-knowledge?

Relative to the caricatures of people using self-tracking devices in the book, I'm guessing most people are a lot more like Hill or me. I like knowing how many steps I've taken as a decent proxy for physical activity. It helps keep me honest about how much exercise I'm getting because otherwise I'm apt to lie to myself: "Well, I didn't go running yesterday, but I walked a lot." I like having a check against my own unreliable narration. Is this some sort of crime against the concept of a subjective self? Why? Is it super important that I only know if I bullshit myself by introspection and no other means?

Or, if I count my steps but I also do yoga, for which I receive no steps, am I somehow unable to reconcile these two things in my own mind? Why wouldn't I see a graph of steps going up, then down, and say to myself, "Oh, those are the days I did yoga." We don't assume the tools are perfect. Who would? We've all used a cell phone. Humans are not idiots.

As for the social privacy concerns Morozov raised, they are well-taken. But again, the way people use these technologies complicates his picture. From what I've seen in health tracking, our social norms are proving remarkably resilient to oversharing. For every weirdo tweeting his weight, there are the other 9,999 people keeping it to themselves. There is no revolution afoot in the way that people deal with health or fitness related information. Most tracking is done in private and held closely. On the service I use, the Jawbone's UP, there is no way to share information to Facebook, and that's by design.

Morozov argues that sharing health data is going to become as widespread as sharing on Facebook (never mind the number of profiles now locked down from prying eyes). But why would this be? He provides no evidence for the value or applicability of the analogy. That's just buying the marketing talk hook, line, and sinker. Morozov is willing to do so because it aids in the argument that self-tracking poses a grave danger to non-trackers; he argues that people who refuse to track will be punished socially and in the health-care marketplace.

But to believe that we'd have to believe: A) fitness and health tracking will be ubiquitous or at least widespread; B) the data captured will be shared in a similarly widespread way; C) this sharing will occur with such ubiquity and force that it will constitute a form of social coercion; D) that non-tracking deviants will be punished for their refusals; E) the shared data will prove predictive and valuable to insurance, health care, and other interested companies.

So far, A is the only proposition here that seems to have any basis out there in the world. B, C, D, and E are all hypothetical propositions that have very little basis, as far as I can tell or have seen. Morozov's intimations that this could change are not evidence that it has actually happened, nor that it is happening, nor that it is likely to happen. There is decent evidence that people are *not* going to become obsessive tracker-sharers. After all, measures we know are correlated with health -- blood pressure, cholesterol, weight, BMI, etc. -- are already widely available with no fancy technology, and you don't see most people sharing these things very willingly outside their doctors' offices. The minority that do share have not reshaped the medical system.

Is Morozov's critique a valuable check on the fantasies of a world transformed by self-tracking devices? Yes, definitely. But given the crushing toll that obesity-related problems are having in America and given the intractability of the political problems creating the obesogenic environment, is it possible that individual-scale solutions could be a partial and temporary aid in people's efforts to lose weight? I think so. To be clear: If a given self-tracking device helps you forestall getting diabetes and losing your limbs, who cares if you incidentally provide support for the thesis of Gary Wolf's book?

On the other hand, Morozov's argument about self-tracking through smart energy and water meters works well. In that case, smart meters really do provide rhetorical cover for corporate and government actors to ignore making larger scale changes in the energy system. And worse, numerous studies have shown that individual-scale efficiency interventions are small potatoes on a percentage basis. Only a few percent of people actively manage their energy usage and, of those, only a few bring it down considerably.

You need a city, state, national, and global solutions to energy, yet politicians want to believe that smart meter deployments that lead to smarter individual energy use can stave off climate change. At best they are good answer not up to the scale of the problem, and at worst, they are legitimate distraction and detriment to climate action. And I say this as someone who has Nest thermostats installed in his home. They're great appliances, but I think my toaster is about as likely to change the planet's fate as they are.

* * *

Morozov has always been a remarkable intellectual hit man. He can bulldoze anybody's ideas about anything. But when the subject has turned to what we should do, rather than what we shouldn't, he is less precise. It's a lot to ask of a critic to both demolish the existing ideology of technology and replace it with something better, but Morozov has never had small ambitions. Yet his advice, distilled from all the theory and scholarship available, consists of rather hoary exhortations:

  • "The trick here is to resist the simplifying temptations of techno-optimism and techno-pessimism and to assess each case of technological intervention on its own merits."
  • "We'd be far better off examining individual technologies on their own terms, liberated from the macroscopic fetishes of Silicon Valley."
  • "We must not fixate on what this new arsenal of digital technologies allows us to do without first inquiring what is worth doing."
  • "But we should not lose sight of the benefits that subjectivity plays in art; much good art is meant to shock and provoke."
  • "This doesn't mean that we should encourage our politicians to lie, just that we should remember that lies can often serve enabling functions, and while in many cases they will be enabling corruption and laziness, in others they will enable compromise and hope."
  • "Once we leave the confines of the grandiose debates about 'Technology' and 'the Internet,' another way of talking and thinking becomes possible, one that is technologically literate, attentive to details, mindful of legal and economic circumstances, and historically informed. It doesn't reject technological solutions per se; it just wants to question their appropriateness in each and every situation and perhaps to design a way for the community to continue debating such appropriateness even once a seemingly tiny and inconsequential technology engenders a giant sociotechnological system to support itself."

And it's worth asking: Who is the "we" in all of this? It's the we of the op-ed idiom, of course. But Morozov devotes such attention to actors and institutions, individual CEOs and thinkers. He requires such specificity from others. Yet in his public policy calls, suddenly, the actors recede and the putative societal we emerges.

He does have a few excellent suggestions in his positive program. One sparkling idea is an audit board for algorithms, allowing companies to maintain secrecy while ensuring that anti-social or discriminatory practices have not been encoded within them. Another is a brief sketch of a "post-Internet" model for thinking about digital technologies. These things are good.

It is in using things that users discover and transform what those things are. Examining ideology is important. But so is understanding practice.

In his final chapter, Morozov attempts to describe a method of gadget making that meets his ethical criteria. The products he points to in his final chapter are, to put it frankly, broken. He's taken design fictions that are meant to encourage "user-unfriendliness" and put them at the center of what technology should be. Appliances that act erratically when your energy usage rises. A radio set that changes stations when energy usage rises. An extension cord that twists in pain when devices in standby mode are left plugged into it. A lamp that dims unless you keep touching it.

I think he's made these technologies into the means; broken things make you focus on their brokenness, not whatever the brokenness is supposed to point to. Would a car that randomly runs out of gas make you consider the pipeline infrastructure and ecological destruction that our oil economy requires? Or would you just go get a new car? His advice is not the sort of thing technologists can follow.

Morozov acknowledges that, "without a thorough theoretical scaffolding, all these 'erratic appliances' and 'technological troublemakers' can be easily dismissed as quirks of fancy postmodern designers," but the truth is: No matter what theoretical scaffolding you give them, no one wants a radio that gets fuzzy when it's near electrical fields. Almost no one will use these things.

That's important because it is in using things that users discover and transform what those things are. Examining ideology is important. But so is understanding practice. What will make Morozov's account so generative is precisely how much has been left out about how people use things. People like David Edgerton at Imperial College London have argued that scholars who study "technology" need to break away from thinking about it as an advancing wave of new things and focus on what people are actually using, day-by-day.

I remember sitting with Morozov at Stanford in March of last year, when he told me that his goal for the work was to destroy the concept of "the Internet" in the way that historians of science had destroyed the concept of "science." But try asking a scientist if that's happened. The Berkeley anthropologist of science, Paul Rabinow, put it well. "A major gap has developed today between scientists' self-representation and the representations of scientists by those who study them," he wrote in a 1996 book. "While this discrepancy is of little consequence for practicing scientists (most will have never heard of its existence), it provides much of the subject matter and the authority for the social studies of science."

And while many scientists haven't noticed they've lost some authority in the rest of the academy or among the public at large, others cannot escape this fact. I think the worst consequence of destabilizing scientists' authority in the public sphere has been to give fertilizer and sunshine to climate change skeptics. The skeptics' publications on climate institutions and personalities are like weaponized science and technology studies papers. And we may all end up paying the price of inaction as a result of their incredibly effective lobbying.

If it is worth pointing out that there are costs to any technological solution, as Morozov does, it is also worth noting that ideas can have costs, too. We don't know how Morozov's arguments will be deployed in the future, but I wouldn't doubt it will sometimes be by people who want to support the continuance of unjust political and social arrangements.

Imagine how words like these might be applied by someone other than Morozov:

That so much of our cultural life is inefficient or that our politicians are hypocrites or that bipartisanship slows down the political process or that crime rates are not yet zero--all of these issues might be problematic in some limited sense, but they do not necessarily add up to a problem worth solving.

Update: Ukrainian Military Dolphins Not Actually on the Loose

If you're swimming in the Black Sea, beware dolphins with weapons strapped to their heads.

dolfin.jpg

flickr/mr_t_in_dc

Update! Sad news, friends. It turns out that one piece of the Ukrainian dolphin story is, in fact, a hoax. No dolphins from the Ukrainian army's complement have actually escaped, according to this newspaper report. The hoax began with this faked report from the museum director, which led to a story by RIA Novosti. The strangest thing about this is how plausible the whole thing actually is. Gregg studies dolphins for a living and did not seem skeptical. That's because the US and Ukrainian military do indeed have dolphins, which they've been, according to previous reports, training for combat. A reader wrote in to tell me that when he was a young sailor in Turkey, this beluga whale was rumored to have escaped from a military installation in Crimea. That is to say, the oddest part of this story -- that dolphins have regularly been used in the military -- is unchanged. But the specifics turn out to be a hoax. Our apologies for the mistake. In recompense, allow me to give you this video about the history of militarized dolphins.

 Dolphin scientist Justin Gregg brings us this slightly disturbing, if hilarious, bit of Delphic news. The Ukrainian military has apparently lost three of its trained dolphins in the Black Sea. Which might not be so bad, except.... Well, Gregg sets it up perfectly:

Uh oh - it seems the Ukrainian Navy has a small problem on their hands. After rebooting the Soviet Union's marine mammal program just last year with the goal of teaching dolphins to find underwater mines and kill enemy divers, three of the Ukrainian military's new recruits have gone AWOL. Apparently they swam away from their trainers this morning ostensibly in search of a "mate" out in open waters. It might not be such a big deal except that these dolphins have been trained to "attack enemy combat swimmers using special knives or pistols fixed to their heads." So if you are planning a family holiday to the Black Sea this week, I think it's best you avoid any "friendly" dolphins that might approach - especially if they have KNIVES or PISTOLS strapped to their heads.

Who would not want to watch the film adaptation of this story? It'd sort of be like abstract expressionist painting plus Free Willy plus Rambo. And it'd be told from the perspective of the dolphins with subtitles for their clicks. And filmed in 3D and at 48 frames a second. It would be directed by Werner Herzog. The first hour and twenty-eight minutes would be dolphins eating fish, the last two minutes would be them saving the world from terrorist combat swimmers.

The Ukrainian navy's dolphin program has a long pedigree. The Bulletin of Atomic Scientists noted that trainers there inherited the Soviet military's 70 trained dolphins after the Soviet Union collapsed. Some of them were retrained to help with child therapy and other civilian tasks. The others? Well... 


(If you like that news, Gregg produces a radio show called (cough) The Dolphin Pod.)

The Best Intelligence Is Cyborg Intelligence

The best services arise from the combination of machine and human intelligences.

cyborgsmads.jpg

Alexis Madrigal


A quick pointer to today's A1 New York Times story on a phenomenon we've been following on this blog for the past year: as algorithmic entities explode across the web, humans remain central to their operation. Automation only goes so far and for all Watson's Jeopardy wins, there are still many, many tasks on which computers are terrible and humans are effortlessly amazing. Like understanding language, say, or knowing what's happening in a photograph. 

We noted this phenomenon in our work on Google Maps, which has a team of thousands of humans who handcorrect every single map. Here's the September story's key paragraphs:

There is an analogy to be made to one of Google's other impressive projects: Google Translate. What looks like machine intelligence is actually only a recombination of human intelligence. Translate relies on massive bodies of text that have been translated into different languages by humans; it then is able to extract words and phrases that match up. The algorithms are not actually that complex, but they work because of the massive amounts of data (i.e. human intelligence) that go into the task on the front end.

Google Maps has executed a similar operation. Humans are coding every bit of the logic of the road onto a representation of the world so that computers can simply duplicate (infinitely, instantly) the judgments that a person already made.

The Times story is well worth reading for its catalog of similar operations at other companies like Twitter, Apple, IBM, and some startups. The point is not that machines are not powerful or that humans are irreplaceable in some fixed sense. The point is that the best services are cyborg: they arise from the combination of machine and human intelligences.

As Manfred Clynes and Nathan Kline, the co-coiners of the term "cyborg," wrote in 1960, "The purpose of the Cyborg, as well as his own homeostatic systems, is to provide an organizational system in which such robot-like problems are taken care of automatically and unconsciously, leaving man free to explore, to create, to think, and to feel."

Fifty-three years later, I think the jury is still out on whether or not his initial hope was correct.

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