We hear a lot about energy research and development. Perhaps that's because it's the one sort of policy that Republicans and Democrats generally agree on. But there's a different kind of research that I'd like to see get a lot more attention and funding. I'm talking about research into what various kinds of energy policies actually *do* to shape the technical possibilities open to humanity.
In my time researching energy, most of the people who actually care about where we get our energy from have committed to an energy source, be it oil, gas, traditional nuclear, wind, solar, geothermal, or thorium. Then, they go looking for policies that would benefit their technology. I've also run into a lot of people who believe in inexorable laws of change in energy, whether that's decarbonization or the inevitable rise of natural gas or nuclear power. And I've run into a lot of energy experts who believe in a fairly simple relationship between research money going in and technologies coming out.
Unfortunately, none of these three groups of people is likely to produce very good energy policy. To put it in more mainstream terms, we've got a lot of energy pundits and very few energy Nate Silvers, who put reality (i.e. good data) ahead of ideology and intuition. Don't get me wrong: everyone in energy loves them some data, but few people are interested in using it the way Silver does.
Let me introduce you to a scholar who I think embodies the kind of research we need more of. His name is Gregory Nemet. He did his PhD at Berkeley and now teaches at the University of Wisconsin, Madison. I first discovered his work through a 2006 paper in Energy Policy, "Beyond the Learning Curve: factors influencing cost reductions in photovoltaics." Now, you're probably familiar with the neat story that learning curves tell. They say that as you do something, you get better at it, and because it's a curve, the assumption is that this happens at a fairly consistent (and therefore predictable) rate. This is part of the rationale for supporting photovoltaics after all. They've gotten so much cheaper (orders of magnitude) over the last few decades that proponents suggest they're inevitably going to get cheaper than grid electricity some time in the near future.
But this is just too simple a model for the way the world works. Nemet first demolishes the idea that we can bank on simple learning by experience models that show consistent cost reductions as the amount of solar produced increases. These analyses are super sensitive to small changes in the learning rate or the growth of the market (the number of megawatts of PV production in a given time span). And that's not even taking into account the discontinuities that we know occur in technological development. He raises several other powerful objections based on the literature. All in all, it's a pretty amazing takedown of a common method of analysis.
But he doesn't stop there. He then uses the history of photovoltaics (from 1976-2001) to demonstrate a new way of modeling cost reductions in technology. It's hard to gloss the whole thing, but suffice to say that his model allows him to identify which of the following factors were important for different periods of the technology's evolution in driving down cost: plant size, scaling factor, module efficiency, silicon cost, wafer size, silicon use, yield, polycrystal share, polycrystal cost.
With kind of policy impact might that have? Well, if increasing the size of photovoltaic plants appears to lead to large cost reductions, then it might be a good idea to have a loan program that helps get these sorts of plants built. A loan program much like the one that produced many good outcomes along with a few duds like Solyndra.
But there's a deeper reason to support this kind of research. When people think of technological development as somehow magically proceeding apace, it makes it seem *as if* people's personal and civic interventions don't matter. But of course they do! It's just that when you draw one curve to stick in your PowerPoint, all the decisions that affect the factors above get submerged into a false law of simplistic cost reductions.
Since 2006, Nemet has kept working on important research projects. He's done more work on trying to model the effectiveness of differing government support models, as in this paper on whether subsidies or R&D spending are more likely to bring organic solar cells to market. (In this case, the answer is R&D.)
His most recent work, though, might be his most significant, though I think his current research program is not yet complete. In carious ways, he's been trying to get at a very basic question: do demand-side subsidies work to stimulate technological development? Or might better policies exist? This is more than a theoretical question, given the various tax credits both here and abroad that appear to have pushed low-carbon technologies forward. Note the way I framed his project, which I think he would agree with. This is not about whether Nemet believes government should be subsidizing energy projects or not. This is not about whether solar or wind or nuclear *should* be the future of our energy system. No, this is something more basic and more difficult to answer: how much can subsidies enhance the learning (and therefore cost reductions) that an industry like wind actually does?
If you're curious what his final analysis is, here's the conclusion from an excellent forthcoming paper in the Journal of Policy Analysis and Management. You probably won't be surprised to learn that he makes a nuanced judgment:
The magnitude of public funds at stake add some urgency to improving understanding of the extent and characteristics of knowledge spillovers from learning by doing. The main results here imply that policies that enhance demand are necessary to generate sufficient knowledge from experience. Other insights from this case--especially depreciation and diminishing returns--heighten the value of policy instruments with performance-oriented mechanisms and longevity. That experience-derived knowledge appears to be so ephemeral suggests that we should also consider explicit support for codification and transfer of what is learned.
Thicker ink, fewer smudges, and more strained hands: an Object Lesson
Recently, Bic launched acampaign to “save handwriting.” Named “Fight for Your Write,” it includes a pledge to “encourage the act of handwriting” in the pledge-taker’s home and community, and emphasizes putting more of the company’s ballpoints into classrooms.
As a teacher, I couldn’t help but wonder how anyone could think there’s a shortage. I find ballpoint pens all over the place: on classroom floors, behind desks. Dozens of castaways collect in cups on every teacher’s desk. They’re so ubiquitous that the word “ballpoint” is rarely used; they’re just “pens.” But despite its popularity, the ballpoint pen is relatively new in the history of handwriting, and its influence on popular handwriting is more complicated than the Bic campaign would imply.
Even in big cities like Tokyo, small children take the subway and run errands by themselves. The reason has a lot to do with group dynamics.
It’s a common sight on Japanese mass transit: Children troop through train cars, singly or in small groups, looking for seats.
They wear knee socks, polished patent-leather shoes, and plaid jumpers, with wide-brimmed hats fastened under the chin and train passes pinned to their backpacks. The kids are as young as 6 or 7, on their way to and from school, and there is nary a guardian in sight.
A popular television show called Hajimete no Otsukai, or My First Errand, features children as young as two or three being sent out to do a task for their family. As they tentatively make their way to the greengrocer or bakery, their progress is secretly filmed by a camera crew. The show has been running for more than 25 years.
Most campaign ads, like most billboards or commercials, are unimaginative and formulaic. Our candidate is great! Their candidate is terrible! Choose us!
With the huge majority of political ads, you would look back on them long after the campaign only for time-warp curio purposes—Look at the clothes they wore in the 80s! Look how corny “I like Ike!” was as a slogan! Look how young [Mitch McConnell / Bill Clinton / Al Gore] once was!—or to find archeological samples of the political mood of a given era.
The few national-campaign ads that are remembered earn their place either because they were so effective in shifting the tone of the campaign, as with George H. W. Bush’s race-baiting “Willie Horton” ad against Michael Dukakis in 1988; or because they so clearly presented the candidate in the desired light, as with Ronald Reagan’s famous “Morning in America” ad in 1984. Perhaps the most effective campaign advertisement ever, especially considering that it was aired only one time, was Lyndon Johnson’s devastating “Daisy Girl” ad, from his campaign against Barry Goldwater in 1964. The power of the Daisy Girl ad was of course its dramatizing the warning that Goldwater might recklessly bring on a nuclear war.
Who will win the debates? Trump’s approach was an important part of his strength in the primaries. But will it work when he faces Clinton onstage?
The most famous story about modern presidential campaigning now has a quaint old-world tone. It’s about the showdown between Richard Nixon and John F. Kennedy in the first debate of their 1960 campaign, which was also the very first nationally televised general-election debate in the United States.
The story is that Kennedy looked great, which is true, and Nixon looked terrible, which is also true—and that this visual difference had an unexpected electoral effect. As Theodore H. White described it in his hugely influential book The Making of the President 1960, which has set the model for campaign coverage ever since, “sample surveys” after the debate found that people who had only heard Kennedy and Nixon talking, over the radio, thought that the debate had been a tie. But those who saw the two men on television were much more likely to think that Kennedy—handsome, tanned, non-sweaty, poised—had won.
The Texas senator’s about-face risks undermining his political brand and alienating the supporters who hailed his defiant stand in Cleveland.
Ted Cruz set aside his many differences with Donald Trump on Friday to endorse for president a man whom he once called a “serial philanderer,” a “pathological liar,” “utterly amoral,” and a “sniveling coward”; who insulted his wife’s looks; who insinuated Cruz’s father was involved in the assassination of John F. Kennedy; who said he wouldn’t even accept his endorsement; and who for months mocked him mercilessly with a schoolyard taunt, “Lyin’ Ted.”
The Texas senator announced his support for the Republican nominee late Friday afternoon in a Facebook post, writing that the possibility of a Hillary Clinton presidency was “wholly unacceptable” and that he was keeping his year-old commitment to back the party’s choice. Cruz listed six policy-focused reasons why he was backing Trump, beginning with the importance of appointing conservatives to the Supreme Court and citing Trump’s recently expanded list of potential nominees. Other reasons included Obamacare—which Trump has vowed to repeal—immigration, national security, and Trump’s newfound support for Cruz’s push against an Obama administration move to relinquish U.S. oversight of an internet master directory of web addresses.
Early photographs of the architecture and culture of Peking in the 1870s
In May of 1870, Thomas Child was hired by the Imperial Maritime Customs Service to be a gas engineer in Peking (Beijing). The 29-year-old Englishman left behind his wife and three children to become one of roughly 100 foreigners living in the late Qing dynasty's capital, taking his camera along with him. Over the course of the next 20 years, he took some 200 photographs, capturing the earliest comprehensive catalog of the customs, architecture, and people during China's last dynasty. On Thursday, an exhibition of his images will open at the Sidney Mishkin Gallery in New York, curated by Stacey Lambrow. In addition, descendants of the subjects of one of his most famous images, Bride and Bridegroom (1870s), will be in attendance.
In Greenwich, Darien, and New Canaan, Connecticut, bankers are earning astonishing amounts. Does that have anything to do with the poverty in Bridgeport, just a few exits away?
BRIDGEPORT, Conn.—Few places in the country illustrate the divide between the haves and the have-nots more than the county of Fairfield, Connecticut. Drive around the city of Bridgeport and, amid the tracts of middle-class homes, you’ll see burned-out houses, empty factories, and abandoned buildings that line the main street. Nearby, in the wealthier part of the county, there are towns of mansions with leafy grounds, swimming pools, and big iron gates.
Bridgeport, an old manufacturing town all but abandoned by industry, and Greenwich, a headquarters to hedge funds and billionaires, may be in the same county, and a few exits apart from each other on I-95, but their residents live in different worlds. The average income of the top 1 percent of people in the Bridgeport-Stamford-Norwalk metropolitan area, which consists of all of Fairfield County plus a few towns in neighboring New Haven County, is $6 million dollars—73 times the average of the bottom 99 percent—according to a report released by the Economic Policy Institute (EPI) in June. This makes the area one of the most unequal in the country; nationally, the top 1 percent makes 25 times more than the average of the bottom 99 percent.
How Washington men working in national security dress—for better or for worse
In 2017, shortly after the next president is inaugurated, thousands of newly appointed federal officials will struggle with the same existential question: What do I wear to my first day of work? I understand their anxiety, having languished over wardrobe during eight years of federal service and pondered the fashion choices of my male colleagues during the interminable meetings that are the hallmark of government work. It’s hard to point to a solid “real world” professional competency that I learned during those years of meetings and memo writing, but one skill I developed is an uncanny ability to tell you where any man in the national security community works based on his apparel. But first, to understand the fashion choices these professionals make, you must understand the culture—and keep in mind that not every employee falls into these stereotyped camps. (I’m also leaving a thorough assessment of female fashion to other writers more qualified.)
Police in Charlotte, North Carolina, released body-cam and dashboard footage of the 43-year-old black man’s final moments.
Keith Scott had his hands at his side when a Charlotte, North Carolina, police officer fatally shot him four times, according to footage from a police dashboard camera.
The Charlotte-Mecklenburg Police Department released Saturday clips of body-cam and dashboard footage taken during Scott’s shooting Tuesday after days of protests in downtown Charlotte over the killing.
The two clips offer an incomplete glimpse into the encounter. Footage from the body-cam of one of the officers runs a minute long. Scott himself is shown for only a fraction of a second in it. During the shooting itself, the lens is obscured by the officer’s neck. The audio is also missing from the first 25 seconds, including when the gunshots are fired.
The Republican candidate took his case to a shale-industry gathering, and found a welcoming crowd.
PITTSBURGH—“Running for president is a very important endeavor,” Donald Trump said. “What is more important, right?”
He leaned forward on his chair, separated by a heavy black curtain in a makeshift green room from the crowd waiting to hear him speak at the Shale Insight Conference.
“I am running because, number one, I think I will do a very good job. Number two, it’s really about making American great again.” He paused, as if realizing that repeating his campaign slogan might not seem genuine.
“I mean that; I really do want to make America great again,” he said. “That is what it is all about.”
The 70-year-old Republican nominee took his time walking from the green room toward the stage. He stopped to chat with the waiters, service workers, police officers, and other convention staffers facilitating the event. There were no selfies, no glad-handing for votes, no trailing television cameras. Out of view of the press, Trump warmly greets everyone he sees, asks how they are, and, when he can, asks for their names and what they do.