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.

Beloved Show 'The Wire' Lives on Through Facebook Page

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When The Wire wrapped up its spectacular six season run a couple of years ago, it was probably the worst entertainment-related moment of my life. The Wire's highlow realism and grand sweep felt like War and Peace for our moment and I loved it from the first episode on. Since the show ended, fans like me have wandered the channels looking for the next TV high. But nothing (not even Treme) has been the same.

And it's those memories that seem to drive The Wire's Facebook fan page, an insanely popular destination that traffics merely in one-liners from the show. The page's proprietor posts "I rip and run" by Omar, and 3,000 people will "Like" it. Another 415 will comment on it. Just try and build that kind of social media presence for your publication!

What we're looking at here is is one long goodbye card from the Internet to The Wire -- and it grows each and every day.

Via @Eugenephoto.

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Apple Black Friday Sale Isn't Too Impressive

On a day known for deep discounts, Apple's sale prices just take a little bit off the top. For today's one-day sale, the company declined to drastically reduce prices. The company's premiere holiday gift item, the iPad, got a strangely precise one-day price cut of $41 to $458. The biggest Apple discounts were, true to form, $101 for the company's line of computers.

The Apple sale is roughly in-line with what our Nicholas Jackson predicted earlier this week:

This year, we're anticipating that Apple will follow tradition and discount all MacBook and MacBook Pro models by about $100. There are rumors that they might also discount the iPad for a single day...The recently updated iPod Nano could also be discounted... The general rule seems to be that you can expect Apple to drop prices somewhere between 10 and 20 percent of an item's current price, with a maximum discount of $101.
So, as in years past, the sale is more for current Apple users who need just a little extra incentive to open their wallets.

What's a 'Channel Check,' Anyway?

If you traffic in technology news or shares, you've undoubtedly heard about "channel checks." They are how analysts try to find out if Apple (or Adobe or Microsoft) are selling more or less of a given product than the market thinks. Basically, analysts go out and talk to people in the companies' supply chains and try to piece together what that means for the overall business. They're in the news today because, according to the Wall Street Journal, channel checks are one of the activities coming under SEC scrutiny.

So, what is a channel check? I did some years ago and here's how I think about them. If you're an investment analyst, you have a big spreadsheet. That spreadsheet tries to model how a company like Apple makes money. Everyone starts out with roughly the same information: how many iPads are selling at what profit margin, how many iPhones, how many Macs, etc., etc. Apple releases a lot of that information in their financial filings.

The real game, then, is predicting what those numbers are going to be in the next quarter or two. You want to know if Apple is going to sell more iPhones than everyone else thinks they're going to.

So, how could you figure that out? You can't actually ask anyone at Apple because that would be insider trading. But you can go out to the people who manufacture components for Apple products and ask them, "So, buddy, how many doodads that are needed for the iPhone 4 are you making this quarter? Is that more or less than expected?" You can also call up Best Buy middle managers and say, "So, how are iPod sales looking?" If you get enough of the right kinds of answers, you can start to make the bull or bear case for a stock.

It might not be the most elegant investing strategy, but if you've got a good (virtual) Rolodex, it can work. Is it insider trading? In most cases, probably not. It's just solid analysis.

But here's the tricky thing: if in the course of doing your channel checks at a hedge fund, say, you come across a bit of "material" information -- info that would be likely to impact a stock's price if it was widely known -- you can't trade on that inside information. However, sometimes it's hard to tell which bits of information are "material" and which are just "really awesome." That is to say, the very best channel check info comes right up to the materiality line without crossing it. The gray area is vast.

It's All Gravy: The Industrial History of a Thanksgiving Favorite

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We all know how to make gravy. Take the drippings of whatever beast you've been cooking, add some water, and starch, and cook it down. What results is a delicious gelatinous sauce that people have been relishing for centuries.

Making gravy by hand might seem easy enough, but in the industrial era, anything that can be made faster has been, and fatty, starchy sauces are no exception.

LIFE magazine ads from the 1960s testify to the proliferation of dry mix gravies. Pillsbury offered a "Daring Offer," a free sample of any of its gravy mixes to make good on its promise to beat the taste of all competitors. Meanwhile, Durkee's proclaimed, "All sauce and gravy mixes are made for convenience, but Durkee's is for dining!"

Even now, one can go into any store and find a plethora of little pouches packed with powder. Add water, heat, stir, and it's ready. Indeed, the texture, smell, and taste of these mixes is certainly gravy-like.

But homecooking is to industrial food processing what walking is to flying an airplane. The gravy mix isn't just huge vats of drippings mixed with flour and water. More than a century's worth of food engineering have gone into making a powder you mix with water and microwave in three minutes to manufacture a smooth gravy.

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In many circles, processed foods have come to seem bad, even immoral. What fascinates me, though, is how food engineers look at food. What problems are they trying to solve? What tools do they have at their disposal? What are their points-of-proof and methods? Food engineers don't think about food the way the rest of us do. For them, it's a material like steel or drywall or duct tape. They are concerned with building something and it just so happens that we eat this end result. This isn't the moralizing story that you've heard so many times; this is just how gravy mixes developed, their chemistry and technological history.

Our story begins back in the 19th century. Philip Thorne filed a patent in 1882 for a floury product that could be mixed with water to create an instant dough. "The object of my invention is to manufacture a new and improved prepared flour, which needs only be mixed with water to form a dough for a biscuit; and the invention consists in thoroughly incorporating butter deprived of its water with flour and baking-powder."

But the instant biscuit dough wasn't an instant success. Dry mixes -- just add water! -- didn't really catch on for decades. It wasn't until 1931 that Bisquick came onto the market, and not until the 1950s that the baking aid really took off. Cake mixes like Betty Crocker's followed shortly thereafter and exploded in popularity, becoming what the author of Paradox of Plenty, Harvey Levenstein, called "one of the great marketing success stories of all time." One key trick was that the original mixes just required water, leaving housewives feeling a little left out of the cake making process. So, General Mills switched up the recipe to require cracking a single egg into the mix, then adding water. And in that way, cakes got made. "By 1950, one theme had come to dominate all else: convenience," Levenstein notes.

As in baking, so it went with gravies, too. All kinds of gravy mixes came onto the market, proclaiming their greatness. But gravies were actually a more difficult mix to create. Just like homecooks might like to have gravy without having to actually cook meat, the food processing industry needed to eliminate the actual beef or chicken.

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You could have gravy without all the trouble of making the meat that would generate the drippings. In a curiously parallel movement, the food processing industry also wanted to eliminate actually cooking meat to generate that meaty gravy flavor. In fact, industry actually needed to. It would be far too expensive to cook a bunch of meat, keep the drippings, and throw away the rest.

"The gravy mixes are a little more sophisticated because the flavor from a gravy mix may be a beef gravy, but it's never been near a cow," said Gary A. Reineccius, a food scientist at the University of Minnesota. "To me, some of the real innovations that have occurred in gravy have been in the flavoring systems."

Initially, a big chunk of that flavoring came from a wonderful chemical initially developed in Japan called monosodium glutamate, or as you probably know it, MSG. For pennies on the dollar, MSG could approximate the taste of meat. Throw some spices in and you could create something that the American consumer would buy. Food Technology magazine reported in 2008 that 40 percent of American households used some sauce or gravy mix. It doesn't hurt that these gravy mixes are almost preposterously cheap.

Cost was the whole impetus behind making a gravy mix in the first place. Relative to canned gravy, the dehydrated nature of the mix means that it's lighter and therefore cheaper to ship and package.

Once the technology to dry and grind vast slurries of gravy was available and decent flavorings had been created, competition moved to other areas. The great American innovation machine went to work on a problem that had plagued mankind for centuries: lumpy gravy. You see, the problem with all gravies is that when you add starch to a watery, fatty admixture, the starch has a tendency to clump together. The flour inside the lumps becomes isolated from the mixture. Because the water can't reach it, it never dissolves. Home cooks can prevent this by simply stirring the mixture, but that required "considerable skill," as General Mills' Harold Keller put it in a 1958 patent application.

Keller's solution to the lump problem was to include a leavening agent that helped break up the clumps as they were forming.

It has now been discovered that it is possible to prepare a dry mix composition which may be used for the preparation of gravies and sauces without the disadvantages attendant the prior art methods. The composition of the present invention may be added even to boiling water without the formation of lumps, even with only a minor amount of stirring.

chart.jpgBut it turned out that Keller did not have the final word. Lumps still formed, particularly when the mixes were added to boiling water. The best way to keep them from forming, as Kari Bos of Carnation describes in a 1982 patent, was to slowly heat up the mixes. Making lumpless gravy was still a two-step process.

So, Bos suggested adding maltodextrin to the gravy mix. The long chain of glucose molecules was able to reduce the number of lumps substantially if mixed with starch in precisely the right ratio, as he demonstrated in his patent's key chart. Around a maltodextrin to starch ratio of 1:1, the lumps disappear.

But in the 1980s, the patent trail for gravy mixes goes cold. Flavor scientists, we're sure, have continued to improve. Low-fat and low-carbohydrate versions have been created. But by and large, the gravy mix form has stabilized. The ingredients haven't changed much, except some brands like McCormick's no longer use MSG.

Now, the food trends are running against the gravy mix. The magic of a powder that sprouts into something like a food has about the same appeal as a packet of sea monkeys these days.

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Images: 1. LIFE; 2-4. Alexis Madrigal.

Path: New Social Network Is Actually Fun Alone

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A new social network called Path launched last week to the kind of media ballyhoo only an experienced team of startup guys could rally. The news got around to all kinds of outlets, big and small.

Path limits your total number of friends to 50. There are no applications. Instead, you take photos, tag them with your location, and upload them. As you do so, you create a "Path" through life that you can share with your inner circle.

I like the way AllThingsD's Liz Gannes headlined her post on the venture, "Path: The Social App That's Not Viral (By Design)." There's something appealing about a social network that's not just relentlessly trying to reproduce itself. It feels kind of classy (or something). And Path's user interface is unerringly slick. I really like how simple and clean everything is.

So, I decided to add ten friends who are friends in real life. I snapped a couple of photos and uploaded them. That is to say, I tried to use the app the way it was designed. Then I waited. A couple of days have now gone by and no one I know has begun to share updates with me. Maybe it's just social network fatigue, but none of them appear to actually be using the service. I am walking a lonely path.

Usually, these sites hold your hand a little as you figure out what you're supposed to do. But Path's not like that, either.

All that said, I like Path, just not as a social network. In its current incarnation, I think it's a wonderful photo journaling tool. Private and slick, it seems made for tracking your own life, rather than sharing it with others. I'm content to use it as a documentary tool, regardless of whether anyone else sees what I've done.

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Algorithmic Gift Giving Not As Magical As You'd Hope

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I'm a big fan of Hunch.com, a site that provides personalized recommendations for all kinds of stuff based on your answers to a series of questions. So, based on questions like, "Do you find clowns scary?" the site deduces that I would really like Mark Twain and Dogfish Head Brewery beer, which I do. The whole process can feel sort of magical, as if the software knows you.

So, I was very excited when a Twitter acquaintance pointed out that Gifts.com allowed you to run Hunch for someone else. You log-in with your Facebook account, pick out a friend, and start answering questions based on your knowledge of them.

As you answer questions like "Does Salvador L. Madrigal [my dad] tend to: A) Go with the flow B) Paddle against the current?" gift choices show up in the left pane. As you answer more questions, the site's "confidence level" in its recommendations slowly climbs to 100%.

But I have to tell you: the magic gift oracle doesn't work. At least not for me and my friends and family.

It seems like Hunch ends up recommending a set of sake cups for everyone I put into the system. Dad? Yup, he'd like one. Girlfriend? Her, too. Best friend? Of course! Everyone I know also wants a "laptop caddy," Hunch says with 100% confidence.

The real problem, it seems, is that Hunch's algorithm is more sophisticated than Gifts.com's stuff selection. The universe of gifts dominates the software's ability to find good presents within it. To be a little unfair to Gifts.com, it's like being taken shopping at Spatula City with the world's most sophisticated personal shopper. At the end of the day, you still end up with a spatula.

That's why I'm still a big fan of small, offline retail stores for gift purchases. If you go into a well-curated place like. say, Gravel and Gold in San Francisco, it would take an anti-miracle to purchase something that wasn't better and more interesting for my girlfriend than a sake set.

Via GigaOm; H/t @Mgkarayan.

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Should TSA Body Scanners Distort Naked Images?

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A Lawrence Livermore National Laboratory scientist says he has a simple fix for the uproar over the Transportation Safety Agency's body scanners. Distort the image, Willard Wattenburg argues, and you take away (at least some of) the privacy objections that could be made. In Wattenburg's formulation, noted by the Washington Post, bodies would be stretched as in a funhouse mirror, presumably removing any titillation associated with nudity.

The TSA is pursuing a more complex computer-vision system that, as we reported last week, may not be as easy to construct as the agency hopes.

Wattenburg first filed a patent for his system in 2006, after which he says he contacted the Department of Homeland Security because it was obvious to him that as soon as the scanners went into use, people would "scream like hell because they're taking the clothes off everybody" The DHS wasn't interested, according to the Post story.

Technologically, image processing to distort a body's form is trivial. You take the image that comes in from the scanner, pick some reference points on the body, and then elongate, resize, and stretch the image. The images come out looking less human very quickly -- and that's precisely the point. As Wattenburg notes, any kid with Photoshop could do it. We took him at his word and mocked up -- in rough fashion -- what one of the images could look like after going through one of these distortion algorithms.

The big question seems to be whether Wattenburg's system would allow TSA scanners to see whatever weapons or explosives they might be trying to see. To find out, there would have to be extensive field testing, which has never been done and is not currently planned.

The new system also would not obviate concerns about the accidental or malicious 
storage of images. Nor would it answer Jeff Goldberg's concerns about bombs hidden in body cavities and which these scanners cannot detect.

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Angry Birds Video Shows Pitfalls of Peace Process

Angry Birds, the incredibly addictive mobile game in which you launch small birds with a slingshot at their pig enemies, has become fodder for comedians and makers of all sorts. There are Angry Birds cakes and Angry Birds stop-motion animations.

But leave it to Israeli comedy show Erez Nehederet to get right to the heart of the game: the difficulty of ending a senseless conflict between birds and pigs.

Analyst: New iPad Coming in April 2011

Hey early adopters, get ready to throw out that totally outdated first-gen iPad in April of next year. At least that's what one analyst contends based on Apple's business needs and rumors from Digitimes, which tracks the electronics business.

In a bit of news from the Apple rumormongering department, an analyst with Gleacher & Company is throwing his hat in the ring with a prediction that Apple's iPad 2--a completely unofficial name that's been making the news circuit the last week or so--is going to debut in April of next year.

That doesn't quite fit the reports from two months ago that Apple was looking to break its typical product launch cycles and have a new iPad device out by the holiday season--which we're pretty much in, mind you. However, it does fit the latest news from Digitimes that three suppliers have already been named for the printed circuit boards found in the to-be-uncovered iPad 2's design.

"The sources said Ibiden, Tripod and TTM have received certification from Apple, and will start shipping any-layer HDI boards for iPad 2 in small quantities in December," writes Digitimes' Jessie Shen.

Read the full story at PC Magazine.

Facebook Warns Debt Collectors About Using Its Service

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A Florida debt collector contacted a St. Petersburg woman's Facebook friends in an effort to get her to repay a $362 car loan. The woman, Melanie Beacham, promptly hit the collector, MarkOne Financial, with a civil suit in Pinellas County circuit court.

Though the suit was first filed in August, Beacham's attorney amended it recently, and the story broke nationally yesterday. According to the filing, a MarkOne employee going by the name Jeff Happenstance contacted both Beacham and two of her friends. As you can see in the message above, Happenstance asked the friends to have Beacham contact him without making reference to her debt.

While you may never thought of it this way, Facebook is a perfect tool for tracking down debtors and the people they know. LinkedIn and Twitter are, too.

"Now Facebook does a debt collectors work for them," Beacham's attorney, Billy Howard, who specializes in debt collection harassment, told a Tampa TV station. "Now it's not only family members, it's all of your associates. It's a very powerful tool for debt collectors to use."

Debt collectors have long contacted family members and friends of debtors in attempts to locate them -- and that behavior is protected by law. "Other than to obtain this location information about you, a debt collector generally is not permitted to discuss your debt with anyone other than you, your spouse, or your attorney," a Federal Trade Commission FAQ explains.

MarkOne admitted in a statement that it emailed to The Atlantic that it does use Facebook to track people down:

MarkOne's policy is to only use Facebook® to locate customers when the customer has a fully public profile, and when the customer has not responded to MarkOne through conventional means. Our policy is to respect privacy disclosure requirements and no negative or account information is shared with third parties.

While this policy strikes me as fairly reasonable, we shouldn't miss the larger point: a debt collection firm has a policy on how to use Facebook to track people down. This is yet another indication that our online lives are tethered to our offline lives, and not just in the fun ways.

Facebook does not look kindly on debt collectors using their social graph to get people to settle up. Facebook told The Atlantic today that debt collectors using their service may be violating their rules. A spokesperson for the company emailed us the following unusually strong (and speculative) statement to us:

There are state and federal laws and FTC regulations that govern the actions of debt collectors. The collector in the St. Petersburg case likely violates a number of these laws and regulations and we encourage the victim to contact the FTC and her state Attorney General. In addition, Facebook policies prohibit any kind of threatening, intimidating, or hateful contact from one user to another. We encourage people to report such behavior to us, only accept friend requests from people that they know, and use privacy settings and our blocking feature to prevent unwanted contact.
Facebook is clearly signaling that they are taking this novel debt-collecting methodology seriously. And so am I. I seriously doubt that MarkOne is alone in making use of social media to attempt to settle debts. If you've been contacted by debt collection agency on Facebook, Twitter, or any other social network, I'd love to hear your story. You can contact me discreetly at amadrigal[at]theatlantic.com.

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Great Moments in Google Autocomplete

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Many commentators have noted the pleasures of Google Autocomplete for delving into the American psyche. Just see what you get when you type "Muslims are" or "Sarah Palin is." Myself, I'm more partial to the more random search suggestions Google gives, which seem to indicate that our collective consciousness is just as specific and weird as our individual ones. This one, for example, is subtly odd. Why just bachelorette parties? Is there something feminine about the construction "best locations for"?

In any case, the website Gdumb.com used to chronicle some of the weirdest Google suggestions, but they've stopped updating. What's the most interesting autocomplete you've come across?

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The Electrical Cables That Saved Manhattan After 9/11

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This is a piece of the emergency electrical lines that ConEdison ran into downtown Manhattan in the aftermath of the 9/11 attacks. Two of the company's substations and other infrastructure were destroyed, requiring ConEd to run 36 miles of cable like this above ground or in shallow trenches to provide power for residents, responders, and the New York Stock Exchange. Eighty-two on-site generators were brought in to feed current into the system. The unprecedented pop-up electrical system could have powered a city the size of Albany.

After power was restored, the company donated pieces of the cables to the Smithsonian's National Museum of American History here in Washington, DC. Harold Wallace, Jr., curator of the NMAH's electricity collection, showed them to us as part of a behind-the-scenes look at some of the museum's rare and important artifacts.

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The Climate Crisis: What to Do Now

The initial set of Climate Next essays, published Tuesday and Wednesday, inspired a snappy discussion around the e-campfire about the future of climate policy. Our panelists exchanged nearly 7,500 words over e-mail this week, and reading through their debate--which can be accessed in its entirety here--you realize that what starts as a discussion about climate ends up a discussion about things that are much more viscerally important to us: electricity, the United States' role in the world, how technology improves, and the health of people and their families. After more than a century of carbon-intensive development, any effort to turn away from fossil fuels will require a realignment of the very backbone of modernity. The question we're really asking, then, is this: What will it take for something so radical to occur?

Because, as the Breakthrough Institute's Michael Shellenberger and Ted Nordhaus note, something new needs to happen. They call it a "step change transformation of the global energy economy." And about the only real examples of such a thing we have to work from occurred around the dawn of industrialization in Britain, when a small group of businessmen and tinkerers figured out that they could burn rocks (coal) and transform that heat into mechanical work. With that in mind, most of the discussion among this group of experts revolved around the social mechanisms that might allow for a major shift in our energy usage.

On all sides, the panelists are trying to connect the science of global warming with the emerging literature of how technological innovations happen, in an effort to find a climate solution that fits with today's precarious politics. Those three different areas--science, innovation, and politics--do not connect up easily. But among this group, at least, the effort is there.

So, let's go big-picture first. How could we ever achieve something like mass decarbonization? David Roberts of Grist suggests that a decentralized, grassroots power-building effort would be necessary, but the Council on Foreign Relations' Michael Levi doesn't think the masses matter:

Others here understand grassroots politics better than I do, but I must admit that I'm skeptical, at least for as long as the public has other pressing priorities. I also wouldn't ignore the elite-driven model, which explains a lot of progress on global trade. (It isn't like trade deals are made in response to massive public demand.) But the prospects here are also tricky, in substantial part for the same reasons as the U.S. political system has turned against trade liberalization: elites no longer command the trust that they once did.

Nordhaus and Shellenberger answered that the problem in recent climate politics wasn't that elites were involved but, rather, that they were misguided.

Levi is closer to the mark when he observes that elite opinion may matter most. It confuses things to compare things like starting and funding clean tech businesses, developing smart growth programs, and establishing new building efficiency standards to a guerilla insurgency or civil rights movement, as David Roberts does. The problem is not that the effort to address climate was driven by elites but rather that the elite consensus was wrong. It assumed that carbon pricing and pollution targets could do everything from reduce emissions to accelerate innovation to create green jobs.

The good news is that the old consensus appears to be, finally, starting to change.

Roberts answered the critique of his position by arguing that any climate hawk program shouldn't focus on a couple of narrow policy prescriptions.

The bias at this point should be toward trying more things. Will grassroots activism make a difference? EPA regulations? State [Renewable Energy Standards] programs? Utility reform? A national transmission grid? Nuclear loan guarantees? Feed-in tariffs? Smart growth? Who knows.

The size, complexity, and urgency of the problem argue for a strategy built around diversity and resilience: spread out, rack up some small wins, build up networks, and accumulate political power along the way.

Hovering around the margins of the discussion is Roger Pielke Jr.'s "Iron Law of Climate Change," which states that when environmental and economic objectives are placed into opposition, the latter always win out. Levi and Roberts argued that this idea may not be as ironclad as it seems. And according to Levi, major investments in green energy could create the same sort of conflicts.

Ted and Michael's introductory essay says that the [Iron Law] is about "the unwillingness of governments to sacrifice economic growth for global warming", which is what I took issue with. Saying that it actually describes the unwillingness of individuals to "sign up for substantial, open-ended increases in energy prices ... in the name of avoiding uncertain climate impacts decades hence" is quite the shift. I never said that carbon pricing was in the cards; I just said that the "Iron Law" wasn't a strong reason why. And, while I support increased government investment in energy innovation, it's worth noting that it's also far from obvious that that policy will be growth-enhancing. Government spending on energy innovation, particularly without a strong market, may itself violate the Iron Law.

Roberts, meanwhile, attacks the law's rhetorical use.

Stated as an absolute, it's obviously wrong. The public has an illustrious history of supporting, in some cases demanding, policies that are a drag on economic growth. Motivated minorities have secured farm subsidies, trade barriers, regulatory loopholes, and many more policies which impose higher costs on the public in exchange for benefits that are uncertain or, more often, concentrated in a very few hands.

Consider, to take an example, that energy efficiency is currently going for around 4 cents a kwh, while coal electricity is around 10 cents a kwh. By opting for so much coal and so little efficiency, the public appears to be breaking the Law, only in reverse--paying extra, sacrificing economic growth, for environmental disbenefits.

Michael and Ted stick to their guns, though, refocusing the discussion on the technological challenges they see in renewable alternatives to fossil fuels.

Argue all you want about the Iron Law, what should be clear now is that whatever tolerance political economies around the world may have for raising energy prices and slowing economic growth does not begin to approach the levels that would be necessary to price carbon high enough to actually drive substantial emissions reductions or deploy low carbon technologies at any meaningful scale. Fossil fuels are remarkable sources of energy--energy-dense, easily-deployed, well-suited to provide baseload power, and still reasonably abundant in one form or another in most parts of the world. Present day alternatives, by contrast, cost too much and can't effectively serve the demands of modern energy economies.

The near-term prospects for green technology really matter, too. Here in the United States, the key upcoming climate policy decision will be what to do with old coal plants. Over the next decade or so, many plants may be shut down because of environmental concerns and aging, as the Sierra Club's Michael Brune explains:

What's happening here is that many of the pollution costs of burning dirty coal are now being internalized. That is, when utilities are forced to make a decision to either invest in upgrades to minimize a coal plant's pollution or to shut down that plant and invest in cleaner energy resources, it is expected that many utilities and regulators will choose the latter. For example, in a July 2010 report that examined just two federal rules--those governing air toxics such as mercury and another to limit soot and smog--Bernstein Research estimated reductions in coal-fired generation from these two rules of over 10 percent in just the next 4 to 5 years. Industry analysts ICF International estimates more than a 25 percent reduction under "modest regulation" between now and 2015-2016.

What's going to replace the energy services those plants provided? There are a host of alternatives, ranging from building new coal power plants to deploying natural gas or solar. (Or maybe we should just use less energy.) A lot of our e-mail discussion focused on that short-term problem--and opportunity. Levi provides a good starting point.

I'll reinforce a point from my initial essay: the first priority should be to replace retired coal-fired power plants with anything but other traditional coal-fired power plants. Those replacements would either be zero-carbon, which would be great, or natural gas, which would allow them to be easily replaced with zero-carbon sources later. Ideally, the replacements would be renewable, nuclear, or [carbon-capture-and-storage] based, which would provide a platform for zero-carbon technology development and learning.

Armond Cohen of the Clean Air Task Force wasn't so sure that more gas-fired plants would be a good idea.

If a meaningful amount of US coal capacity is to be retired, it is important that we think about policies that will avoid the obvious default replacement--natural gas without CO2 scrubbing. Since half the molecules of CO2 we emit today will be with us several centuries from now, it's highly likely that we need to move the system, over a multi-decade period, to zero emissions if we want a shot at stabilizing CO2 concentrations at manageable levels. Natural gas replacements would chop CO2 in half or more relative to coal, but then that's the end of the drop and the beginning of a plateau. Do we want to create another generation of better-but-still-not-great-for-CO2 incumbent generators defending their turf? It looks like that's where we're headed.

Brune was even more forceful in his take on new power deployments. He derided nuclear power and coal with carbon capture.

Say what you want about nuclear power, but you can't call it cheap. There's a reason why Wall St. is reluctant to finance nukes in the U.S. without loan guarantees. Even if we ignore the persistent problems nuclear power poses regarding mining, radioactive waste, safety and proliferation dangers, the cost to build nuclear plants is high, and rising, compared to other forms of energy.

The same is true for coal gasification and carbon sequestration. One example: the Duke Edwardsport plant that the Sierra Club opposed but others supported will not capture a single molecule of carbon. But the cost to build the plant has doubled, and there is a criminal investigation underway about misdeeds between Duke and the PUC. Is this a good deal for ratepayers? Every billion dollars we invest in nuclear power or so-called "clean coal" is a billion dollars much better invested in energy savings and clean energy. Clean energy will create more jobs, cut air, water, and greenhouse gas pollution, and make our country more competitive. As for costs, just look at the trends: efficiency is cheap and always has been. The cost of new coal plants and nuclear plants is rising, and the cost of solar and wind is dropping. Which side of the equation do we want to get on?

But those cost curves are one of the trickiest bits of climate policy. We know that human behavior can accelerate the development of individual technologies, but it's very hard to know which of those technologies would end up becoming radically cheaper over time. For example, we can assume that the cost of producing solar power will go down in the coming decades. Figuring out how much it will go down (and whether it will become a viable alternative to fossil fuels) is another thing entirely--even small changes in the expected rate of decrease yield vastly different projections for its success.

Roberts does a nice job laying out the four cornerstones of a national innovation system: R & D to push technological development faster, various incentives and Federal procurement policies to create market pull, an institutional ecosystem of supportive research institutions and government agencies, and robust government-supported resources and capabilities for the industry.

Nordhaus and Shellenberger, though, believe that the current generation of renewable energy technology is so far from competitive that it precludes building a real base of support for climate action.

Indeed, economies around the world have been slowly decarbonizing for two centuries. Energy intensity has declined at about one percent a year over that period and carbon intensity about half that. Those trends have been driven by technological, economic, and political changes alike. We've developed ways to generate power--still mostly fossil based power--that are better, cleaner and cheaper. The structure of our economy has changed dramatically, with the rise of the information and service economies and the decline and outsourcing of our industrial economy driving declining energy intensity. And rising post-material values have led to political demands for cleaner energy and less pollution which have in fact resulted in higher regulatory costs for dirty energy and substantial subsidies for clean energy. It is unlikely that efforts to increase the regulatory costs of coal as envisioned by Brune, accelerate the development of gas as envisioned by Levi, and promote low-cost energy efficiency as envisioned by Roberts will do much to significantly accelerate those trends over the next several decades. Nor will the variety of other policies that Roberts proposes to throw against the wall--renewable energy standards, feed in tariffs, a national grid, smart growth, the list is endless--lacking vastly better technological alternatives.

For them, the technology has to precede many policies. That's one reason that they, like Cohen, think the Pentagon would be a natural engine for the tough and market-unfriendly work of pushing energy breakthroughs. The best part of the Department of Defense? It's so big that it would be its own best customer for any innovations.

Perhaps it's best to end this discussion with a look at the scale of the problem. Given the economic growth of China, India, and other major developing countries, we can anticipate that global energy demand will grow, and so will the need for clean sources. Here's Armond Cohen's compelling look at what we'd need to do to meet that demand.

Since achieving merely one [carbon-free] terawatt ... would require quadrupling today's installation of wind power, or three hundred times current global solar capacity, or, for that matter, three times our current global capacity of nuclear plants, it's pretty clear that fossil fuels are likely to be part of the picture for quite a while--[which suggests that] developing the [carbon capture and storage] option at scale is likely to be pretty important. ... It's also clear that at least current-generation renewables, with their substantial land use demands, intermittency challenges (which, even at current penetration levels in California and parts of Europe have required substantial numbers of new gas power plants to fill in when the wind isn't blowing--a cost which is typically not counted against the renewables), and very high cost (at present, solar [photovoltaics] is at something like four times the cost of new nuclear power in the United States), are going to have a hard time filling out most of those 30 terawatts. We are going to need lots of innovation, and every scalable option we can imagine.

This post was produced by Slate for the Climate Desk collaboration.

TSA Says Better Body Scanners Will End Privacy Uproar: Don't Bet on It

What if you could walk through that airport body scanner, pause for the camera, and know that your naked image would never be pored over by human eyes? If it was software, not TSA screeners, who searched you and other passengers for possible explosives?

That's the vision of Transportation Security Administration head John Pistole. At a Senate hearing yesterday, Georgia Republican Johnny Isakson conjured this future and suggested to Pisole, "It looks like technology can be a solution to the privacy issue." Pistole responded, "I think so, I'm very hopeful in that regard."

Earlier in his testimony, he'd remarked, "I see us in an interim period" where the TSA was using best available technology but that target recognition software "clearly addresses the privacy issue in its entirety" and would be available soon.

How soon? "I'd like to say months, but it's all technology driven," Pistole said.

While vendors like L-3 and Rapiscan are actively trying to come up with a magic technological solution for the TSA, independent experts on body scanning technology and automated threat detection aren't nearly as optimistic as the TSA head. Setting aside the question of how much real safety would be afforded by body scanners that use algorithms to detect artfully hidden explosives under someone's clothes (I'll leave it to our big guns to debate that point), there are fundamental problems that may make it very difficult to deploy them.

Here's how they work. First, an image is obtained with an x-ray backscatter or millimeter wave machine like the 385 systems already installed in 70 airports around the country. While the two types of machines have important differences, their basic principles are comparable. The electromagnetic waves (x-rays or radio) used in the machines pass easily through clothing, but bounce back when they encounter human skin (or other denser materials). Those reflections reach the scanner and are transformed into an image of the body sans clothing.

In one of the automated threat detection systems, that image would be fed to an algorithm that would compare it to a database of other images to determine if it was suspicious. Instead of looking at an image of a person, the TSA scanners would see a stick figure that would indicate the general area where a problem existed. They would then follow up with a patdown or other screening procedure.

Unfortunately, the technological task of automated threat detection is not trivial. There are inherent problems that make an accurate machine very, very difficult to build.

The most basic problem is that an algorithm is only as good as its training data. These machines are like a massive game of memory: they compare something new with something they've seen before. In order to make accurate determinations, they need a huge library of suspicious and normal images, said the Pacific Northwest National Laboratory's Doug McMakin, who developed the technology on which the L-3 SafeView system is based.

"To see different threats, you really have to scan a lot of people and put objects on different places on the body and use different kinds of threats too," McMakin said.

Of course, we could easily generate a huge database of images from all the people walking through the scanners right this minute, but the privacy problem that would represent makes it impossible. "You can build up this huge database, but because they don't save any of the imagery, you have to go out and get people to build up this database."

Carey Rappaport, the head of the Center for Subsurface Sensing and Imaging Systems (a multi-university organization that studies automatic threat detection) and a microwave engineer at Northeastern University, agreed that automated threat detection using just this kind of imaging would be very hard. "How do you get a computer algorithm to say this fits in the parameters of what's human and this is something that is not human?" Rappaport asked. "There are a lot of things that could look naturally occurring but that are cleverly disguised explosives."

This problem is not easily sidestepped. It's built into to the detection task: it's just hard to know what you're looking for and even harder to provide a computer with a set of rules to precisely define the characteristics of something you've never seen before.

"What are you looking for? If you're looking for something that looks like a Glock or a roadrunner cartoon object with a fuse coming out of it, that's easy," Rappaport said. "Guns have to have a barrel. Knives have to have sharp edges, but an explosive can be formed into anything."

And not only is it difficult to predict the precise form of a threat, but people's bodies vary too, introducing even more complexity, Rappaport said.

Even Pistole admitted that the rate of false-positives was too high based on the TSA's own testing. Some of the L-3 ProVision Automatic Threat Detection systems have been deployed in other countries, most prominently at Amsterdam's Schipol Airport and the Hamburg Airport. At the latter, officials revealed this week that folds in clothing were creating false alarms. L-3 has not -- and does not plan to -- make their data public in a peer-reviewed journal.

Human beings are actually great at this kind of pattern detection. As Rappaport put it, even a two-year old can tell you the difference between a dog and a cat, whereas the best computer vision systems can't. There is a reason that image recognition tasks are one of the most popular assignments on cheap labor markets like Mechanical Turk.

The TSA did not officially provide a timeline for when automated threat detection might be deployed. "The current version of automated threat detection technologies do not meet TSA's detection standards," spokesperson Sarah Horowtiz wrote to me. "TSA sees automated threat detection as a viable option for the future."

Rappaport thinks that the real answer to automated threat detection will be to use "multiple modalities." So, in addition to a x-ray or backscatter scanner, there'd also be some chemical detection machine or some other type of technique. Obviously, such a system would be much more complex and take longer to develop than a few months.

Nonetheless, holding out the carrot of an automated scanner is very effective rhetoric. When Congressional representatives' hear complaints about pat-downs and body scans, they can assure their constituents that they're working on it and liberally sprinkle that statement with that magic word: technology.

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