Labrador decision model

Math whiz finds fame by calling it for Obama

Today's New York Times has an article on Nate Silver, the fivethirtyeight.com guy. It talks about how he predicted Obama would win the democratic nomination and  833 Super-Tuesday delegates at a time when Clinton was up by 20 percantage points in the polls. Obama actually won 848 delegates on Super-Tuesday.

Then Silver predicted Obama would beat McCain. That was in March. Here's the full text.

Forecasting the election using simulations

Here's a cool site that forecasts election results using regression and simulation techniques. Note that many of the percentages you will see on the site are probabilities of winning, rather than percentages of the vote. The site is http://www.fivethirtyeight.com/

McCain's use of text analysis

The Times is reporting that Republicans offered an Oxford professor $10K to prove that Obama's autobiography was ghost-written by William Ayers, America's favorite Weatherman. Get the full story here.

Obama's success due to marketing science?

A recent article suggests that Obama's campaign has benefited from the work of a psychologist, Drew Western of Emory University. The full article is here.

Science without theory

Kevin Kelley's post on doing science without theory is interesting. I disagree with it wholeheartedly, but is worth reading.

Full text is here.

How people perceive the world

In yesterday's NY times, David Brooks has a nice piece on decision-making. It dovetails well with the Professional Vision paper that you read last week, along with our discussion during Emily's talk. One of the comments he makes is this: "Perceiving a situation seems, at first glimpse, like a remarkably simple operation. You just look and see what’s around. But the operation that seems most simple is actually the most complex, it’s just that most of the action takes place below the level of awareness. Looking at and perceiving the world is an active process of meaning-making that shapes and biases the rest of the decision-making chain."

Read the full text here.