Author Archives: Attention to the Unseen

Allergies and the ‘farm effect’

Moises Velasquez-Manoff writes: Will the cure for allergies come from the cowshed?

Allergies are often seen as an accident. Your immune system misinterprets a harmless protein like dust or peanuts as a threat, and when you encounter it, you pay the price with sneezing, wheezing, and in the worst cases, death.

What prompts some immune systems to err like this, while others never do? Some of the vulnerability is surely genetic. But comparative studies highlight the importance of environment, beginning, it seems, in the womb. Microbes are one intriguing protective factor. Certain ones seem to stimulate a mother’s immune system during pregnancy, preventing allergic disease in children.

By emulating this naturally occurring phenomenon, scientists may one day devise a way to prevent allergies.

This task, though still in its infancy, has some urgency. Depending on the study and population, the prevalence of allergic disease and asthma increased between two- and threefold in the late 20th century, a mysterious trend often called the “allergy epidemic.”

These days, one in five American children have a respiratory allergy like hay fever, and nearly one in 10 have asthma.

Nine people die daily from asthma attacks. While the increase in respiratory allergies shows some signs of leveling off, the prevalence of food and skin allergies continues to rise. Five percent of children are allergic to peanuts, milk and other foods, half again as many as 15 years ago. And each new generation seems to have more severe, potentially life-threatening allergic reactions than the last.

Some time ago, I visited a place where seemingly protective microbes occurred spontaneously. It wasn’t a spotless laboratory in some university somewhere. It was a manure-spattered cowshed in Indiana’s Amish country.

My guide was Mark Holbreich, an allergist in Indianapolis. He’d recently discovered that the Amish people who lived in the northern part of the state were remarkably free of allergies and asthma.

About half of Americans have evidence of allergic sensitization, which increases the risk of allergic disease. But judging from skin-prick tests, just 7.2 percent of the 138 Amish children who Dr. Holbreich tested were sensitized to tree pollens and other allergens. That yawning difference positions the Indiana Amish among the least allergic populations ever described in the developed world.

This invulnerability isn’t likely to be genetic. The Amish originally came to the United States from the German-speaking part of Switzerland, and these days Swiss children, a genetically similar population, are about as allergic as Americans.

Ninety-two percent of the Amish children Dr. Holbreich tested either lived on farms or visited one frequently. Farming, Dr. Holbreich thinks, is the Amish secret. This idea has some history. Since the late 1990s, European scientists have investigated what they call the “farm effect.” [Continue reading…]

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Master of many trades

Robert Twigger writes: I travelled with Bedouin in the Western Desert of Egypt. When we got a puncture, they used tape and an old inner tube to suck air from three tyres to inflate a fourth. It was the cook who suggested the idea; maybe he was used to making food designed for a few go further. Far from expressing shame at having no pump, they told me that carrying too many tools is the sign of a weak man; it makes him lazy. The real master has no tools at all, only a limitless capacity to improvise with what is to hand. The more fields of knowledge you cover, the greater your resources for improvisation.

We hear the descriptive words psychopath and sociopath all the time, but here’s a new one: monopath. It means a person with a narrow mind, a one-track brain, a bore, a super-specialist, an expert with no other interests — in other words, the role-model of choice in the Western world. You think I jest? In June, I was invited on the Today programme on BBC Radio 4 to say a few words on the river Nile, because I had a new book about it. The producer called me ‘Dr Twigger’ several times. I was flattered, but I also felt a sense of panic. I have never sought or held a PhD. After the third ‘Dr’, I gently put the producer right. And of course, it was fine — he didn’t especially want me to be a doctor. The culture did. My Nile book was necessarily the work of a generalist. But the radio needs credible guests. It needs an expert — otherwise why would anyone listen?

The monopathic model derives some of its credibility from its success in business. In the late 18th century, Adam Smith (himself an early polymath who wrote not only on economics but also philosophy, astronomy, literature and law) noted that the division of labour was the engine of capitalism. His famous example was the way in which pin-making could be broken down into its component parts, greatly increasing the overall efficiency of the production process. But Smith also observed that ‘mental mutilation’ followed the too-strict division of labour. Or as Alexis de Tocqueville wrote: ‘Nothing tends to materialise man, and to deprive his work of the faintest trace of mind, more than extreme division of labour.’ [Continue reading…]

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Smartphones are killing society

Henry Grabar writes: The host collects phones at the door of the dinner party. At a law firm, partners maintain a no-device policy at meetings. Each day, a fleet of vans assembles outside New York’s high schools, offering, for a small price, to store students’ contraband during the day. In situations where politeness and concentration are expected, backlash is mounting against our smartphones.

In public, of course, it’s a free country. It’s hard to think of a place beyond the sublime darkness of the movie theater where phone use is shunned, let alone regulated. (Even the cinematic exception is up for debate.) At restaurants, phones occupy that choice tablecloth real estate once reserved for a pack of cigarettes. In truly public space — on sidewalks, in parks, on buses and on trains — we move face down, our phones cradled like amulets.

No observer can fail to notice how deeply this development has changed urban life. A deft user can digitally enhance her experience of the city. She can study a map; discover an out-of-the-way restaurant; identify the trees that line the block and the architect who designed the building at the corner. She can photograph that building, share it with friends, and in doing so contribute her observations to a digital community. On her way to the bus (knowing just when it will arrive) she can report the existence of a pothole and check a local news blog.

It would be unfair to say this person isn’t engaged in the city; on the contrary, she may be more finely attuned to neighborhood history and happenings than her companions. But her awareness is secondhand: She misses the quirks and cues of the sidewalk ballet, fails to make eye contact, and limits her perception to a claustrophobic one-fifth of normal. Engrossed in the virtual, she really isn’t here with the rest of us.

Consider the case of a recent murder on a San Francisco train. On Sept. 23, in a crowded car, a man pulls a pistol from his jacket. In Vivian Ho’s words: “He raises the gun, pointing it across the aisle, before tucking it back against his side. He draws it out several more times, once using the hand holding the gun to wipe his nose. Dozens of passengers stand and sit just feet away — but none reacts. Their eyes, focused on smartphones and tablets, don’t lift until the gunman fires a bullet into the back of a San Francisco State student getting off the train.” [Continue reading…]

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Yes, I’m an ethical person — before lunch, anyway

Pacific Standard: When was the last time you engaged in unethical behavior? Be honest, now, and be specific: What time of day was it when you cheated on that test, lied to your spouse, or stole that item from the company break room?

If it was late afternoon or evening, you don’t have an excuse, exactly, but you certainly have company.

A newly published paper entitled The Morning Morality Effect suggests we’re more likely to act unethically later in the day. It provides further evidence that self-control is a finite resource that gradually gets depleted, and can’t be easily accessed when our reserves are low. [Continue reading…]

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The inexact mirrors of the human mind

Douglas Hofstadter, author of Gödel, Escher, Bach: An Eternal Golden Braid (GEB), published in 1979, and one of the pioneers of artificial intelligence (AI), gained prominence right at a juncture when the field was abandoning its interest in human intelligence.

douglas-hofstadterJames Somers writes: In GEB, Hofstadter was calling for an approach to AI concerned less with solving human problems intelligently than with understanding human intelligence — at precisely the moment that such an approach, having borne so little fruit, was being abandoned. His star faded quickly. He would increasingly find himself out of a mainstream that had embraced a new imperative: to make machines perform in any way possible, with little regard for psychological plausibility.

Take Deep Blue, the IBM supercomputer that bested the chess grandmaster Garry Kasparov. Deep Blue won by brute force. For each legal move it could make at a given point in the game, it would consider its opponent’s responses, its own responses to those responses, and so on for six or more steps down the line. With a fast evaluation function, it would calculate a score for each possible position, and then make the move that led to the best score. What allowed Deep Blue to beat the world’s best humans was raw computational power. It could evaluate up to 330 million positions a second, while Kasparov could evaluate only a few dozen before having to make a decision.

Hofstadter wanted to ask: Why conquer a task if there’s no insight to be had from the victory? “Okay,” he says, “Deep Blue plays very good chess—so what? Does that tell you something about how we play chess? No. Does it tell you about how Kasparov envisions, understands a chessboard?” A brand of AI that didn’t try to answer such questions—however impressive it might have been—was, in Hofstadter’s mind, a diversion. He distanced himself from the field almost as soon as he became a part of it. “To me, as a fledgling AI person,” he says, “it was self-evident that I did not want to get involved in that trickery. It was obvious: I don’t want to be involved in passing off some fancy program’s behavior for intelligence when I know that it has nothing to do with intelligence. And I don’t know why more people aren’t that way.”

One answer is that the AI enterprise went from being worth a few million dollars in the early 1980s to billions by the end of the decade. (After Deep Blue won in 1997, the value of IBM’s stock increased by $18 billion.) The more staid an engineering discipline AI became, the more it accomplished. Today, on the strength of techniques bearing little relation to the stuff of thought, it seems to be in a kind of golden age. AI pervades heavy industry, transportation, and finance. It powers many of Google’s core functions, Netflix’s movie recommendations, Watson, Siri, autonomous drones, the self-driving car.

“The quest for ‘artificial flight’ succeeded when the Wright brothers and others stopped imitating birds and started … learning about aerodynamics,” Stuart Russell and Peter Norvig write in their leading textbook, Artificial Intelligence: A Modern Approach. AI started working when it ditched humans as a model, because it ditched them. That’s the thrust of the analogy: Airplanes don’t flap their wings; why should computers think?

It’s a compelling point. But it loses some bite when you consider what we want: a Google that knows, in the way a human would know, what you really mean when you search for something. Russell, a computer-science professor at Berkeley, said to me, “What’s the combined market cap of all of the search companies on the Web? It’s probably four hundred, five hundred billion dollars. Engines that could actually extract all that information and understand it would be worth 10 times as much.”

This, then, is the trillion-dollar question: Will the approach undergirding AI today — an approach that borrows little from the mind, that’s grounded instead in big data and big engineering — get us to where we want to go? How do you make a search engine that understands if you don’t know how you understand? Perhaps, as Russell and Norvig politely acknowledge in the last chapter of their textbook, in taking its practical turn, AI has become too much like the man who tries to get to the moon by climbing a tree: “One can report steady progress, all the way to the top of the tree.”

Consider that computers today still have trouble recognizing a handwritten A. In fact, the task is so difficult that it forms the basis for CAPTCHAs (“Completely Automated Public Turing tests to tell Computers and Humans Apart”), those widgets that require you to read distorted text and type the characters into a box before, say, letting you sign up for a Web site.

In Hofstadter’s mind, there is nothing to be surprised about. To know what all A’s have in common would be, he argued in a 1982 essay, to “understand the fluid nature of mental categories.” And that, he says, is the core of human intelligence. [Continue reading…]

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Sleep cleanses the brain

The Washington Post reports: While we are asleep, our bodies may be resting, but our brains are busy taking out the trash.

A new study has found that the cleanup system in the brain, responsible for flushing out toxic waste products that cells produce with daily use, goes into overdrive in mice that are asleep. The cells even shrink in size to make for easier cleaning of the spaces around them.

Scientists say this nightly self-clean by the brain provides a compelling biological reason for the restorative power of sleep.

“Sleep puts the brain in another state where we clean out all the byproducts of activity during the daytime,” said study author and University of Rochester neurosurgeon Maiken Nedergaard. Those byproducts include beta-amyloid protein, clumps of which form plaques found in the brains of Alzheimer’s patients.

Staying up all night could prevent the brain from getting rid of these toxins as efficiently, and explain why sleep deprivation has such strong and immediate consequences. Too little sleep causes mental fog, crankiness, and increased risks of migraine and seizure. Rats deprived of all sleep die within weeks.

Although as essential and universal to the animal kingdom as air and water, sleep is a riddle that has baffled scientists and philosophers for centuries. Drifting off into a reduced consciousness seems evolutionarily foolish, particularly for those creatures in danger of getting eaten or attacked. [Continue reading…]

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