What an outstanding idea!
Congress Should Push For Mandatory Gun Insurance
Update #1: In ten states you are more likely to be killed by a gun than a car.
Update #2: Liability Insurance for Guns Skips a Step—You Need Liability First
Update #3: More posts on the subject -
A California bill would make gun owners pay for gun violence by purchasing liability insurance
Should Gun Owners Have To Buy Liability Insurance?
Tuesday, December 18, 2012
Sunday, December 16, 2012
Are the GOP's problems Obama's fault?
Jonathan Chait:
It’s certainly true that Republicans are undergoing some internal strife right now over the tax issue. Daniel Henninger, also on the Journal editorial page, mourns that the president is “dismantle[ing] their party by letting its most basic conservative principles disappear.” But how this is Obama’s fault, I can’t quite figure out. It was Republicans who elevated the unpopular cause of low income tax rates for the rich to a sacred principle, built an entire party theology around punishing even the slightest dissent from that principle, and then enacted the sacred agenda through a rickety budget mechanism that caused it all to expire after a decade. That was a bad idea. Since Republicans are at least considering how to rebuild their party at the moment, my advice would be to do something else next time.
Tuesday, December 11, 2012
It's really hard to calculate the rate of inflation
Matt Yglesias has an excellent blog post about calculating the rate of inflation.
Thursday, November 29, 2012
Tuesday, November 20, 2012
Nate Silver, Superforecaster
Pick your own sports hero analogy. Nate Silver, who runs the blog fivethirtyeight, is the Michael Jordan of election forecasting, or Muhammed Ali, or Peggy Fleming, or Michael Phelps, or Cy Young. Or Serena and Venus Williams rolled into one.
If election forecasting were baseball, Nate Silver nearly pitched a perfect game in November of 2008; the results in 49 out of 50 states, as I remember it, followed his most likely outcome. If that was nearly a perfect game, then four years later, he pitched a perfect game without an opposing batter ever making contact with the ball. The results in every state, including Florida, followed his most likely outcome. He did so much better than everyone else, he really isn't playing the same game.
But people misunderstand something about forecasting when they say Silver predicted on November 5th, 2012 that Obama would win the next day. What Nate said is that Obama had a 90.9% chance of winning. Obama did in fact win, which is to say Silver was 90.9% right and 9.1% wrong.
Here's another way to think about it. If we reran November 6th 1,000 times, in the style of the movie Groundhog Day, Silver said that, most likely, Romney would win 91 times and Obama would win 909 times.
Silver clearly knows a lot, but what really sets him apart from most prognosticators is that he knows what he doesn't know. That is, he knows he can't predict the future with perfect accuracy, so he designed his model around probabilities, not predictions.
There's a hint, however, that his model overstates the odds of the underdog, suggesting the model is overly cautious. This time around, in six states Silver gave the underdog (Romney in five cases; Obama in one) a chance of winning between 15 and 49.7%. Yet in none of those cases did the underdog prevail. Even with long odds like this, one might expect one upset, or maybe even two. In reality, since results in different states are highly correlated - had Romney upset Obama in Ohio, for example, he almost certainly would have also won Florida - you would expect either very few upsets or a whole lot of them. Nevertheless, it's curious that there was only 1 upset out of presidential elections in 100 states (50 in 2008; 50 in 2012).
There are plenty of angles Silver could pursue in enhancing his model; to cite just a few, he could consider incorporating data about voter registration, early voting, the extent of voter suppression and get-out-the-vote efforts, different economic and polling data,etc. While he does that, he might also consider re-calibrating the odds produced by his current model.
If election forecasting were baseball, Nate Silver nearly pitched a perfect game in November of 2008; the results in 49 out of 50 states, as I remember it, followed his most likely outcome. If that was nearly a perfect game, then four years later, he pitched a perfect game without an opposing batter ever making contact with the ball. The results in every state, including Florida, followed his most likely outcome. He did so much better than everyone else, he really isn't playing the same game.
But people misunderstand something about forecasting when they say Silver predicted on November 5th, 2012 that Obama would win the next day. What Nate said is that Obama had a 90.9% chance of winning. Obama did in fact win, which is to say Silver was 90.9% right and 9.1% wrong.
Here's another way to think about it. If we reran November 6th 1,000 times, in the style of the movie Groundhog Day, Silver said that, most likely, Romney would win 91 times and Obama would win 909 times.
Silver clearly knows a lot, but what really sets him apart from most prognosticators is that he knows what he doesn't know. That is, he knows he can't predict the future with perfect accuracy, so he designed his model around probabilities, not predictions.
There's a hint, however, that his model overstates the odds of the underdog, suggesting the model is overly cautious. This time around, in six states Silver gave the underdog (Romney in five cases; Obama in one) a chance of winning between 15 and 49.7%. Yet in none of those cases did the underdog prevail. Even with long odds like this, one might expect one upset, or maybe even two. In reality, since results in different states are highly correlated - had Romney upset Obama in Ohio, for example, he almost certainly would have also won Florida - you would expect either very few upsets or a whole lot of them. Nevertheless, it's curious that there was only 1 upset out of presidential elections in 100 states (50 in 2008; 50 in 2012).
There are plenty of angles Silver could pursue in enhancing his model; to cite just a few, he could consider incorporating data about voter registration, early voting, the extent of voter suppression and get-out-the-vote efforts, different economic and polling data,etc. While he does that, he might also consider re-calibrating the odds produced by his current model.
Sunday, November 11, 2012
Fordham University President's eloquent comments regarding bad speech
When Fordham University's College Republicans invited Ann Coulter to speak, Father McShane, the University President, had this to say, as reported on Salon.com:
There are many people who can speak to the conservative point of view with integrity and conviction, but Ms. Coulter is not among them. Her rhetoric is often hateful and needlessly provocative — more heat than light — and her message is aimed squarely at the darker side of our nature.
...
Still, to prohibit Ms. Coulter from speaking at Fordham would be to do greater violence to the academy, and to the Jesuit tradition of fearless and robust engagement.The Republican group withdrew the invitation. (They claim they had decided to withdraw it prior to the President's statement.)
Tuesday, November 6, 2012
We enthusiastically endorse President Obama, who has earned a second term; Mitt Romney offers dangerous ideas, when he offers any.
New York Times
Mitt Romney, the former governor of Massachusetts, has gotten this far with a guile that allows him to say whatever he thinks an audience wants to hear. But he has tied himself to the ultraconservative forces that control the Republican Party and embraced their policies, including reckless budget cuts and 30-year-old, discredited trickle-down ideas. Voters may still be confused about Mr. Romney’s true identity, but they know the Republican Party, and a Romney administration would reflect its agenda. Mr. Romney’s choice of Representative Paul Ryan as his running mate says volumes about that.
Subscribe to:
Posts (Atom)