Our latest full-length podcast, “How Biased Is Your Media?,” is about how academic researchers have been trying to measure the slant of your news.
The most common meme in this realm says that the mainstream media leans to the left. Frank Rich, a former op-ed columnist at the New York Times, who is now a writer-at-large for New York Magazine, says recent history proves this just isn’t true. Take, for instance, how his former employer handled the lead-up to the war in Iraq:
RICH: I think it flies very much in the face of the assumption that the so-called liberal media are out to doom Republicans or conservative causes. The New York Times promoted dubious evidence of Saddam’s weapons programs on its front page. The New York Times is thought by many on the right to be a so-called liberal slanting paper. The Washington Post, also, less elaborately, failed to really vet the evidence. The networks, CBS, NBC, and ABC are often considered by the right to be liberal news organizations. None of them questioned at all the rationale for going to war in Iraq.
Parts of the East Coast are still recovering from the destruction of Hurricane Irene. The storm wreaked havoc, causing more than 40 deaths and billions of dollars in damages. One thing that is striking about hurricanes is that, even after years of study, all we really know how to do is deal with the symptoms; we don’t actually have a way to treat the disease itself.
So what if there were a hurricane “vaccine”?
There’s a natural ratio of men to women for our species, and it is not equal. For every 100 girls, 105 boys are born. But in some places, like India and China, the ratio is skewed. One Chinese city recorded an astounding 163 boys born per 100 girls. So, why is this happening?
The expanding use of this technology has allowed expecting parents to abort unwanted girls and keep the boys. The ability to sex-select has caused the disappearance of an estimated 160 million girls in Asia alone.
In this Marketplace segment, Stephen J. Dubner reports on the unintended consequences that come with new technology.
What do Wall Street forecasters and Romanian witches have in common? They usually get away, scot-free, with making bad predictions. Our world is awash in poor prediction — but for some reason, we can’t stop, even though accuracy rates often barely beat a coin toss.
But then there’s the U.S. Department of Agriculture’s crop forecasting. Predictions covering a big crop like corn (U.S. farmers have planted the second largest crop since WWII this year) usually fall within five percent of the actual yield. So how do they do it? Every year, the U.S.D.A. sends thousands of enumerators into cornfields across the country where they inspect the plants, the conditions, and even “animal loss.”
This week on Marketplace, Stephen J. Dubner and Kai Ryssdal talk about the supply and demand of predictions. You’ll hear from Joseph Prusacki, the head of U.S.D.A’s Statistics Division, who’s gearing up for his first major crop report of 2011 (the street is already “sweating” it); Phil Friedrichs, who collects cornfield data for the USDA; and our trusted economist and Freakonomics co-author Steven Levitt.
Another thing to add to the list of things to be paranoid about: your paycheck might kill you. Notre Dame economist William Evans, along with Timothy Moore from the University of Maryland, analyzed more than 75 million deaths in the U.S., and found something interesting.
On the first day of each month, the death rate goes up.
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