We’ve gone from advertizing supporting journalism to journalism supporting corporate propaganda. At the rate we’re going, as the line between church and state is deliberately blurred by desperate media companies, we may end up with a handful of actual independent online magazines and newspapers and a vast industry of corporate propaganda designed to look like the real thing. If we’re lucky.

Consequently, he said, “it inflates the language. We’re using this powerful word, but lowering the standard by having everybody be obsessed by everything.” (This jibes with a general culture of hyperbole on the Internet, where in an attempt to stand out from the noise, everything is the best. Thing. EVER!)

“It’s a gesture of self-promotion, innocent self-aggrandizement,” he said. “They’re compensating for not having the capacity to get all that interested in things. Younger people create an atmosphere of hysteria around themselves and get caught up in it.”

. “It’s basically a case of hyperbolic metaphorical extension — which is just a fancy way of saying it is fun to use over-the-top words about less-than-over-the-top things,” she said. “This is pretty common in English. ‘Awesome’ used to mean ‘inspiring awe’ and now it means, ‘That was a great burrito, dude.’ ”

Of the 3,060 students who applied to his school this year, 44 percent were boys. To help rank the candidates, he said, he simply adjusted the focus of student interviews to more effectively draw boys out in describing their own strengths. This year he offered seats to 136 boys and 134 girls. “Are we worried about getting unqualified boys?” asked Dr. Lerner. “No not at all.”

The teams with training that engaged in probabilistic thinking performed best. The training involved learning some of the lessons included in Daniel Kahneman’s great work, “Thinking, Fast and Slow.” For example, they were taught to alternate between taking the inside view and the outside view.

Most important, participants were taught to turn hunches into probabilities. Then they had online discussions with members of their team adjusting the probabilities, as often as every day

In these discussions, hedgehogs disappeared and foxes prospered. That is, having grand theories about, say, the nature of modern China was not useful. Being able to look at a narrow question from many vantage points and quickly readjust the probabilities was tremendously useful.

In the second year of the tournament, Tetlock and collaborators skimmed off the top 2 percent of forecasters across experimental conditions, identifying 60 top performers and randomly assigning them into five teams of 12 each. These “super forecasters” also delivered a far-above-average performance in Year 2. Apparently, forecasting skill cannot only be taught, it can be replicated.

He believes that this kind of process may help depolarize politics. If you take Republicans and Democrats and ask them to make a series of narrow predictions, they’ll have to put aside their grand notions and think clearly about the imminently falsifiable.

quantum computing relies on the fact that subatomic particles inhabit a range of states. Different relationships among the particles may coexist, as well. Those probable states can be narrowed to determine an optimal outcome among a near-infinitude of possibilities, which allows certain types of problems to be solved rapidly.

“This is a revolution not unlike the early days of computing,” he said. “It is a transformation in the way computers are thought about.”

It could be possible, for example, to tell instantly how the millions of lines of software running a network of satellites would react to a solar burst or a pulse from a nuclear explosion — something that can now take weeks, if ever, to determine.

Mr. Brownell, who joined D-Wave in 2009, was until 2000 the chief technical officer at Goldman Sachs. “In those days, we had 50,000 servers just doing simulations” to figure out trading strategies, he said. “I’m sure there is a lot more than that now, but we’ll be able to do that with one machine, for far less money.”

If Microsoft’s work pans out, he said, the millions of possible combinations of the proteins in a human gene could be worked out “fairly easily.”

Quantum computing has been a goal of researchers for more than three decades, but it has proved remarkably difficult to achieve. The idea has been to exploit a property of matter in a quantum state known as superposition, which makes it possible for the basic elements of a quantum computer, known as qubits, to hold a vast array of values simultaneously.

There are a variety of ways scientists create the conditions needed to achieve superposition as well as a second quantum state known as entanglement, which are both necessary for quantum computing. Researchers have suspended ions in magnetic fields, trapped photons or manipulated phosphorus atoms in silicon.

In the D-Wave system, a quantum computing processor, made from a lattice of tiny superconducting wires, is chilled close to absolute zero. It is then programmed by loading a set of mathematical equations into the lattice. The processor then moves through a near-infinity of possibilities to determine the lowest energy required to form those relationships. That state, seen as the optimal outcome, is the answer.

Wikipedia thus has a responsibility to find an avenue for living subjects to contribute directly to articles. It is a disservice to not allow direct, transparent contributions by primary sources — especially since these sources often hide their identities in an effort to have their arguments heard.

On the republican picture, owning is a relationship that presupposes law, if only the inchoate law of informal custom.

The conflict between the images is important because it shows up in alternative visions of the economy and the relationship between the economy and the state.

You own something only insofar as it is a matter of accepted convention that given the way you came to hold it — given public recognition of the title you have to the property — you enjoy public protection against those who would take it from you

This view of property, prominent in Rousseau and presupposed in the broader republican tradition, is scarcely questionable in view of the salient diversity in systems of property

These observations, scarcely richer than platitudes, are important for giving us a perspective on the market and the economy, undermining the libertarian image. That picture represents the market as a res privata, a private thing, suggesting that the role of the state is merely to lay low the hills in the way of the market and smooth the paths for its operation. And so it depicts any other interventions of government in the market as dubious on philosophical, not just empirical, grounds.

this image accounts for the continuing attachment to austerity among those on the right. They are philosophically opposed to Keynesianism, not just opposed on empirical grounds, and their ideological stance makes empirically based arguments for Keynesianism invisible to them.

ground troops, unfortunately, had more pressing concerns than existential responsibility. They did not have leisure, unlike their commanders, who also often had the philosophical training to think through the complexities of their jobs.

This training was not simply a degree requirement at Officer Candidate School or one of the United States military academies, but a sustained, ongoing, and rigorous engagement with a philosophical tradition. Alexander lived with Aristotle.

, Jeff McMahan argued that traditional “just war theory” should be reworked in several important ways. He suggested that the tenets of a revised theory apply not only to governments, traditionally represented by commanders and heads of state, but also to individual soldiers. This is a significant revision since it broadens the scope of responsibility for warfare

McMahan believes that individuals are to bear at least some responsibility in upholding “just cause” requirements. McMahan expects more of soldiers and, in this age of drones and leisure, he is right to do so.

while drones are to be applauded for keeping these soldiers out of harm’s way physically, we would do well to remember that they do not keep them out of harm’s way morally or psychologically. The high rates of “burnout” should drive this home. Supporting our troops requires ensuring that they are provided not just with training and physical armor, but with the intellectual tools to navigate these new difficulties.

Just as was the case in the invasion of Iraq 10 years ago, the most important questions we should be asking should not be directed to armchair soldiers but to those of us in armchairs at home: What wars are being fought in our name? On what grounds are they being fought?

As our sexuality becomes ever more divorced from emotion and intimacy, a process already well underway, sex will increasingly be seen as simply a matter of provoking orgasm in the most efficient, reliable ways possible.

Human sexuality will continue to be subjected to the same commodification and mechanization as other aspects of our lives. Just as the 21st century saw friends replaced by Facebook friends, nature replaced by parks, ocean fisheries replaced by commercially farmed seafood, and sunshine largely supplanted by tanning salons, we’ll see sexual interaction reduced to mechanically provoked orgasm as human beings become ever more dominated by the machines and mechanistic thought processes that developed in our brains and societies like bacteria in a petri dish.

Gender identity will fade away as sexual interaction becomes less “human” and we grow less dependent upon binary interactions with other people. As more and more of our interactions take place with non-human partners, others’ expectations and judgments will become less relevant to the development of sexual identity, leading to greater fluidity and far less urgency and passion concerning sexual expression.

the collapse of western civilization may well be the best thing that could happen for human sexuality. Following the collapse of the consumerist, competitive mind-set that now dominates so much of human thought, we’d possibly be free to rebuild a social world more in keeping with our preagricultural origins, characterized by economies built upon sharing rather than hoarding, a politics of respect rather than of power, and a sexuality of intimacy rather than alienation.

When Google’s algorithm detects a search term for which this distilled information is available, the search engine is trained to go fetch it rather than merely present links to Web pages. “There has been a shift in our thinking,” said Scott Huffman, an engineering director in charge of search quality at Google. “A part of our resources are now more human curated.”

“Our engineers evolve the algorithm, and humans help us see if a suggested change is really an improvement,” Mr. Huffman said.

Ben Taylor, 25, is a product manager at FindTheBest, a fast-growing start-up in Santa Barbara, Calif. The company calls itself a “comparison engine” for finding and comparing more than 100 topics and products, from universities to nursing homes, smartphones to dog breeds. Its Web site went up in 2010, and the company now has 60 full-time employees. Mr. Taylor helps design and edit the site’s education pages. He is not an engineer, but an English major who has become a self-taught expert in the arcane data found in Education Department studies and elsewhere. His research methods include talking to and e-mailing educators. He is an information sleuth.

Fang said retractions may be rising because it is simply easier to cheat in an era of digital images, which can be easily manipulated. But he said the increase is caused at least in part by the growing competition for publication and for NIH grant money.He noted that in the 1960s, about two out of three NIH grant requests were funded; today, the success rate for applicants for research funding is about one in five. At the same time, getting work published in the most esteemed journals, such as Nature, has become a “fetish” for some scientists, Fang said.

many observers note that universities and journals, while sometimes agreeable to admitting small mistakes, are at times loath to reveal that the essence of published work was simply wrong.“The reader of scientific information is at the mercy of the scientific institution to investigate or not,” said Adam Marcus, who with Ivan Oransky founded the blog Retraction Watch in 2010. In this case, Marcus said, “if Hopkins doesn’t want to move, we may not find out what is happening for two or three years.”

The trouble is that a delayed response — or none at all — leaves other scientists to build upon shaky work. Fang said he has talked to researchers who have lost months by relying on results that proved impossible to reproduce.Moreover, as Marcus and Oransky have noted, much of the research is funded by taxpayers. Yet when retractions are done, they are done quietly and “live in obscurity,” meaning taxpayers are unlikely to find out that their money may have been wasted.

This means that, even under the best circumstances, scientists can’t directly test what the results of a given gun policy are. The best you can do is to compare what was happening in a state before and after a policy was enacted, or to compare two different states, one that has the policy and one that doesn’t. And that’s a pretty inexact way of working.

Add in enough assumptions, and you can eventually come up with an estimate. But is the estimate correct? Is it even close to reality? That’s a hard question to answer, because the assumptions you made—the correlations you drew between cause and effect, what you know and what you assume to be true because of that—might be totally wrong.

It’s hard to tease apart the effect of one specific change, compared to the effects of other things that could be happening at the same time.

This process of taking the observational data we do have and then running it through a filter of assumptions plays out in the real world in the form of statistical modeling. When the NAS report says that nobody yet knows whether more guns lead to more crime, or less crime, what they mean is that the models and the assumptions built into those models are all still proving to be pretty weak.

From either side of the debate, he said, scientists continue to produce wildly different conclusions using the same data. On either side, small shifts in the assumptions lead the models to produce different results. Both factions continue to choose sets of assumptions that aren’t terribly logical. It’s as if you decided that anybody with blue shoes probably had a belly-button piercing. There’s not really a good reason for making that correlation. And if you change the assumption—actually, belly-button piercings are more common in people who wear green shoes—you end up with completely different results.

The Intergovernmental Panel on Climate Change (IPCC) produces these big reports periodically, which analyze lots of individual papers. In essence, they’re looking at lots of trees and trying to paint you a picture of the forest. IPCC reports are available for free online, you can go and read them yourself. When you do, you’ll notice something interesting about the way that the reports present results. The IPCC never says, “Because we burned fossil fuels and emitted carbon dioxide into the atmosphere then the Earth will warm by x degrees.” Instead, those reports present a range of possible outcomes … for everything. Depending on the different models used, different scenarios presented, and the different assumptions made, the temperature of the Earth might increase by anywhere between 1.5 and 4.5 degrees Celsius.

What you’re left with is an environment where it’s really easy to prove that your colleague’s results are probably wrong, and it’s easy for him to prove that yours are probably wrong. But it’s not easy for either of you to make a compelling case for why you’re right.

Statistical modeling isn’t unique to gun research. It just happens to be particularly messy in this field. Scientists who study other topics have done a better job of using stronger assumptions and of building models that can’t be upended by changing one small, seemingly randomly chosen detail. It’s not that, in these other fields, there’s only one model being used, or even that all the different models produce the exact same results. But the models are stronger and, more importantly, the scientists do a better job of presenting the differences between models and drawing meaning from them.

“Climate change is one of the rare scientific literatures that has actually faced up to this,” Charles Manski said. What he means is that, when scientists model climate change, they don’t expect to produce exact, to-the-decimal-point answers.

“It’s been a complete waste of time, because we can’t validate one model versus another,” Pepper said. Most likely, he thinks that all of them are wrong. For instance, all the models he’s seen assume that a law will affect every state in the same way, and every person within that state in the same way. “But if you think about it, that’s just nonsensical,” he said.

On the one hand, that leaves politicians in a bit of a lurch. The response you might mount to counteract a 1.5 degree increase in global average temperature is pretty different from the response you’d have to 4.5 degrees. On the other hand, the range does tell us something valuable: the temperature is increasing.

The problem with this is that it flies in the face of what most of us expect science to do for public policy. Politics is inherently biased, right? The solutions that people come up with are driven by their ideologies. Science is supposed to cut that Gordian Knot. It’s supposed to lay the evidence down on the table and impartially determine who is right and who is wrong.

Manski and Pepper say that this is where we need to rethink what we expect science to do. Science, they say, isn’t here to stop all political debate in its tracks. In a situation like this, it simply can’t provide a detailed enough answer to do that—not unless you’re comfortable with detailed answers that are easily called into question and disproven by somebody else with a detailed answer.

Instead, science can reliably produce a range of possible outcomes, but it’s still up to the politicians (and, by extension, up to us) to hash out compromises between wildly differing values on controversial subjects. When it comes to complex social issues like gun ownership and gun violence, science doesn’t mean you get to blow off your political opponents and stake a claim on truth. Chances are, the closest we can get to the truth is a range that encompasses the beliefs of many different groups.

“Good” artists instinctively exclude elements of what they know to be part of real life if they feel it may be “bad,” artistically speaking. The prudish Victorians regarded sexual language in fiction that way. Charles Dickens, obviously, knew that people have sex, but he would never spell such a thing out in a novel, even though he knew dirty language was part of real life (especially among the lowlifes he sometimes wrote about, like Fagin and company). It was “bad.” It may have been “bad” in a different sense—as in indecent, improper—but it was “bad” artistically as well, in that his sense of his audience kept him from being too graphic or explicit, either in scenes or dialogue. Meanwhile, Dickens was at liberty to engineer a scene in which, say, a tuberculosis-stricken orphan switches places at the guillotine with a virginal seamstress. Today, you can put all sorts of explicit sexual references in fiction, and the average critic won’t chide you for immorality or indecency; sentimentality will get you panned every time.

The critical temperament of an age shapes an age’s creativity not just in the supply-demand way, motivating writers to produce what is praised and valued by critics and readers. The critical temperament actually blocks off areas of life to create a portrayal of the world that fits its idea of the world. So a prudish era like the Victorian will target immorality—and a cynical or ironic era like ours will target sentimentality.