I know that Paul Krugman was not really serious when he linked this study naming him the most accurate prognosticator in America. Nonetheless, it's getting some play around the internet, and a warm reception from people who don't seem to know any better, so it's worth pointing out why this sort of thing is so dreadful. I mean, I'm sure it was a very fine senior project for the Hamilton College students who produced it, but the results tell us nothing at all about the state of prognostication in this country.
Krugman quotes this segment from the Hamilton College press release:
Now, a class at Hamilton College led by public policy professor P. Gary Wyckoff has analyzed the predictions of 26 prognosticators between September 2007 and December 2008. Their findings? Anyone can make as accurate a prediction as most of them if just by flipping a coin.
The students found that only nine of the prognosticators they studied could predict more accurately than a coin flip. Two were significantly less accurate, and the remaining 14 were not statistically any better or worse than a coin flip.
The top prognosticators - led by New York Times columnist Paul Krugman - scored above five points and were labeled "Good," while those scoring between zero and five were "Bad." Anyone scoring less than zero (which was possible because prognosticators lost points for inaccurate predictions) were put into "The Ugly" category. Syndicated columnist Cal Thomas came up short and scored the lowest of the 26.
I myself read Paul Krugman more often than Cal Thomas, so perhaps I should take this as evidence of my perspicacity . . . but no. This is nonsense. The study runs for a little over a year, between September 2007 and 2008. They didn't even look at all of the statements made by the prognosticators, but at a "representative sample", presumably because they couldn't handle the volume that would be required to analyze all of it. Some of the prognosticators made too few testable predictions to generate good results, and the riskiness of the prediction varied--someone who predicted that Obama was going to win the election in October 2008 seems to have gotten the same "score" for that flip as someone who predicted that Obama would do so in September 2007. The number of predictions varied between commentators, making comparison even more difficult.
Against this background, it makes no sense to say--as the students and the press release do--that this study shows that "a number of individuals in our sample, including Paul Krugman, Maureen Dowd, Ed Rendell, Chuck Schumer, Nancy Pelosi, and Kathleen Parker were better than a coin flip (sometimes, substantially so.)" One of the commonest fallacies you see among beginning students of probability is the belief that if a coin has a 50% chance of turning up heads, then anyone who flips a coin multiple times should end up getting half heads, and half tails.
This is not true--especially when you have a small number of "flips", as most of the prognosticators did. (It's not surprising that George Will, who made the greatest number of predictions, was statistically very close to zero.) Rather, if you get a bunch of people to flip coins a bunch of times, you'll get a distribution. Most of the results will cluster close to 50/50 (as was true in this case), but you'll get outliers.
This is often pointed out in the case of mutual fund managers, as John Bogle does using this graph:
And indeed, my finance profs taught me that the top mutual funds in a given year are not any more likely to show up as next year's top funds. Indeed, they may be less likely to do well the next year. Why? Because funds have strategies, which do better or worse depending on market conditions. The funds that do well in a given year are probably the funds that were especially well positioned to show outsized fluctuations in response to whatever changed that year--but that also means that they're especially likely to do lose money when those conditions change. Because the fluctuations are a random walk, they do not vindicate the fund manager's strategy or perspicacity--but they may seem to, temporarily.
Which may cast some light on why liberal pundits did especially well in this test. If you were the sort of person who is systematically biased towards predicting a bad end for Republicans, and a rosy future for Democrats, then election year 2008 was going to make you look like a genius. If you were the sort of person who takes a generally dim view of anything Democrats get up to, then your pessimism was probably going to hit more often than it missed.
It would be interesting to go back and look at the same group in the year running up to 2010. But even then, it would tell us very little. To do any sort of a true test, we'd have to get a bunch of these prognosticators to all make predictions about the same binary events, over a lengthy period of time, and then see how they fared over a multi-year period. I suspect that they'd end up looking a lot like mutual fund managers: little variation that could be distinguished from random variance.
Once you take into account their fees, mutual fund managers, as a group, underperform the market. And I suspect you'd see the same thing with pundits: as a group, they'd slightly underperform a random coin flip. People like Lindsay Graham cannot go on Meet the Press and say "Yup, we're going to lose on November 2nd" even when it is completely obvious that this is what will happen; they need to present an optimistic bias for their base. Over time, that optimistic bias about no-hope causes will cause a slight negative drag on the predictive power of their statements.
Does that undermine the credibility of pundits? I don't think that predictions are the fundamental purpose of punditry (though I do encourage people to make them as a way of raising the stakes on the truth claims they make, and in order to give us a benchmark against which to analyze our reasoning). Pundits offer predictions, yes, but more importantly, they offer you facts, context, and analysis. Their really important work is to help you make your own wrong predictions about the world.
Hillary Clinton’s realistic attitude is the only thing that can effect change in today’s political climate.
Bernie Sanders and Ted Cruz have something in common. Both have an electoral strategy predicated on the ability of a purist candidate to revolutionize the electorate—bringing droves of chronic non-voters to the polls because at last they have a choice, not an echo—and along the way transforming the political system. Sanders can point to his large crowds and impressive, even astonishing, success at tapping into a small-donor base that exceeds, in breadth and depth, the remarkable one built in 2008 by Barack Obama. Cruz points to his extraordinarily sophisticated voter-identification operation, one that certainly seemed to do the trick in Iowa.
But is there any real evidence that there is a hidden “sleeper cell” of potential voters who are waiting for the signal to emerge and transform the electorate? No. Small-donor contributions are meaningful and a sign of underlying enthusiasm among a slice of the electorate, but they represent a tiny sliver even of that slice; Ron Paul’s success at fundraising (and his big crowds at rallies) misled many analysts into believing that he would make a strong showing in Republican primaries when he ran for president. He flopped.
Thenew Daily Show host, Trevor Noah, is smooth and charming, but he hasn’t found his edge.
It’s a psychic law of the American workplace: By the time you give your notice, you’ve already left. You’ve checked out, and for the days or weeks that remain, a kind of placeholder-you, a you-cipher, will be doing your job. It’s a law that applies equally to dog walkers, accountants, and spoof TV anchormen. Jon Stewart announced that he was quitting The Daily Show in February 2015, but he stuck around until early August, and those last months had a restless, frazzled, long-lingering feel. A smell of ashes was in the air. The host himself suddenly looked quite old: beaky, pique-y, hollow-cheeky. For 16 years he had shaken his bells, jumped and jangled in his little host’s chair, the only man on TV who could caper while sitting behind a desk. Flash back to his first episode as the Daily Show host, succeeding Craig Kilborn: January 11, 1999, Stewart with floppy, luscious black hair, twitching in a new suit (“I feel like this is my bar mitzvah … I have a rash like you wouldn’t believe.”) while he interviews Michael J. Fox.
The championship game descends on a city failing to deal with questions of affordability and inclusion.
SAN FRANCISCO—The protest kicked off just a few feet from Super Bowl City, the commercial playground behind security fences on the Embarcadero, where football fans were milling about drinking beer, noshing on $18 bacon cheeseburgers, and lining up for a ride on a zip line down Market Street.
The protesters held up big green camping tents painted with slogans such as “End the Class War” and “Stop Stealing Our Homes,” and chanted phrases blaming San Francisco Mayor Ed Lee for a whole range of problems, including the catchy “Hey Hey, Mayor Lee, No Penalty for Poverty.” They blocked the sidewalk, battling with tourists, joggers, and city workers, some of whom were trying to wheel their bikes through the crowd to get to the ferries that would take them home.
The country has experienced nursing shortages for decades, but an aging population means the problem is about to get much worse.
Five years ago, my mother was rushed to the hospital for an aneurysm. For the next two weeks, my family and I sat huddled around her bed in the intensive-care unit, oscillating between panic, fear, uncertainty, and exhaustion.
It was nurses that got us through that time with our sanity intact. Nurses checked on my mother—and us—multiple times an hour. They ran tests, updated charts, and changed IVs; they made us laugh, allayed our concerns, and thought about our comfort. The doctors came in every now and then, but the calm dedication of the nurses was what kept us together. Without them, we would have fallen apart.
Which is just one reason why the prospect of a national nursing shortage is so alarming. The U.S. has been dealing with a nursing deficit of varying degrees for decades, but today—due to an aging population, the rising incidence of chronic disease, an aging nursing workforce, and the limited capacity of nursing schools—this shortage is on the cusp of becoming a crisis, one with worrying implications for patients and health-care providers alike.
What happened when 11 exiles armed themselves for a violent night in the Gambia
In the dark hours of the morning on December 30, 2014, eight men gathered in a graveyard a mile down the road from the official residence of Yahya Jammeh, the president of the Gambia. The State House overlooks the Atlantic Ocean from the capital city of Banjul, on an island at the mouth of the Gambia River. It was built in the 1820s and served as the governor’s mansion through the end of British colonialism, in 1965. Trees and high walls separate the house from the road, obscuring any light inside.
The men were dressed in boots and dark pants, and as two of them stood guard, the rest donned Kevlar helmets and leather gloves, strapped on body armor and CamelBaks, and loaded their guns. Their plan was to storm the presidential compound, win over the military, and install their own civilian leader. They hoped to gain control of the country by New Year’s Day.
I coined the term—now I’ve come back to fix what I started.
O reader, hear my plea: I am the victim of semantic drift.
Four months ago, I coined the term “Berniebro” to describe a phenomenon I saw on Facebook: Men, mostly my age, mostly of my background, mostly with my political beliefs, were hectoring their friends about how great Bernie was even when their friends wanted to do something else, like talk about the NBA.
In the post, I tried to gently suggest that maybe there were other ways to advance Sanders’s beliefs, many of which I share. I hinted, too, that I was not talking about every Sanders supporter. I did this subtly, by writing: “The Berniebro is not every Sanders supporter.”
Then, 28,000 people shared the story on Facebook. The Berniebro was alive! Immediately, I started getting emails: Why did I hate progressivism? Why did I joke about politics? And how dare I generalize about every Bernie Sanders supporter?
The Islamic State is no mere collection of psychopaths. It is a religious group with carefully considered beliefs, among them that it is a key agent of the coming apocalypse. Here’s what that means for its strategy—and for how to stop it.
What is the Islamic State?
Where did it come from, and what are its intentions? The simplicity of these questions can be deceiving, and few Western leaders seem to know the answers. In December, The New York Times published confidential comments by Major General Michael K. Nagata, the Special Operations commander for the United States in the Middle East, admitting that he had hardly begun figuring out the Islamic State’s appeal. “We have not defeated the idea,” he said. “We do not even understand the idea.” In the past year, President Obama has referred to the Islamic State, variously, as “not Islamic” and as al-Qaeda’s “jayvee team,” statements that reflected confusion about the group, and may have contributed to significant strategic errors.
Overly persistent pursuit is a staple of movie love stories, but a new study shows that it could normalize some troubling behaviors.
Romantic comedies are supposed to be escapist—a jaunt into a better, more colorful world where journalists can afford giant New York apartments and no obstacle to love is too great to overcome.
Except that when you think about it, some of the behavior portrayed as romantic in these movies is, objectively, creepy. The Love Actually sign guy was totally out of line, and honestly, Lloyd Dobler from Say Anything was pushing it with his famous jukebox. Even the supposedly “pure” love of cute baby-faced Joseph Gordon Levitt as Cameron in 10 Things I Hate About You involves teaching himself just enough French that he can pose as a tutor and hang out with his beloved. Oh, and hiring a guy to go out with her sister.
U.S. presidential candidates are steering the country toward a terror trap.
For close to a decade, the trauma of the Iraq War left Americans wary of launching new wars in the Middle East. That caution is largely gone. Most of the leading presidential candidates demand that the United States escalate its air war in Iraq and Syria, send additional Special Forces, or enforce a buffer zone, which the head of Central Command, General Lloyd Austin, has said would require deploying U.S. ground troops. Most Americans now favor doing just that.
The primary justification for this new hawkishness is stopping the Islamic State, or isis, from striking the United States. Which is ironic, because at least in the short term, America’s intervention will likely spark more terrorism against the United States, thus fueling demands for yet greater military action. After a period of relative restraint, the United States is heading back into the terror trap.
A series of experiments in mice has led to what some are calling “one of the more important aging discoveries ever."
I'm looking at a picture of two mice. The one on the right looks healthy. The one on the left has graying fur, a hunched back, and an eye that's been whitened by cataracts. “People ask: What the hell did you do to the mouse on the left?” says Nathaniel David. “We didn't do anything.” Time did that. The left mouse is just old. The one on the right was born at the same time and is genetically identical. It looks spry because scientists have been subjecting it to an unusual treatment: For several months, they cleared retired cells from its body.
Throughout our lives, our cells accumulate damage in their DNA, which could potentially turn them into tumors. Some successfully fix the damage, while others self-destruct. The third option is to retire—to stop growing or dividing, and enter a state called senescence. These senescent cells accumulate as we get older, and they have been implicated in the health problems that accompany the aging process.