Tag Archives: Nate Silver

Nate Silver criticizes InTrade for its short-lived Obama bounce following Bin Laden’s assassination. — [CHART]

Scenarios.

Posted in Exchanges & Markets, Forecasting (Science & Practice), Market Liquidity, Market Prices & Probabilities, Politics, Prediction Journalism, Predictions - Forecasts | Tagged , , , , , , , , , , , , , , , , , , | Leave a comment

Prediction market stability makes prices informative, while prediction market instability generates liquidity. — [ANALYSIS]

Andrew Gelman finds Rajiv Sethi’s remarks interesting: Markets are impressive mechanisms for information aggregation but they’re not magic. The information has to come from somewhere, and markets are inherently always living in the phase transition between stability and instability. (It … Continue reading

Posted in All Best Posts Ever, Analysis (Meta), Collective Forecasting, Collective Intelligence - Wisdom Of Crowds, Economics, Exchanges & Markets | Tagged , , , , , , , , , , , , , , , | Leave a comment

Rajiv Sethi responds to Jason Ruspini. — [ANALYSIS]

Rajiv Sethi: I don’t see a huge problem with what Nate did either (especially since he added the caveat that he disagreed with some of the imputed beliefs). My point was just that there a lot more interesting information in … Continue reading

Posted in Analysis (Meta), Collective Forecasting, Collective Intelligence - Wisdom Of Crowds, Economics, Exchanges & Markets | Tagged , , , , , , , , , , | 2 Comments

On the Interpretation of Prediction Market Data – REDUX — [ANALYSIS]

Jason Ruspini: If you have varying account sizes, you know right away the price isn’t an evenly weighted average of beliefs, but I don’t see a huge problem with what Nate Silver wrote given his purposes. He just said they … Continue reading

Posted in Analysis (Meta), Exchanges & Markets | Tagged , , , , , , , , , , | Leave a comment

On the Interpretation of Prediction Market Data – [ANALYSIS]

Rajiv Sethi.

Posted in All Best Posts Ever, Analysis (Meta), Collective Forecasting, Collective Intelligence - Wisdom Of Crowds, Economics, Exchanges & Markets, Market Liquidity, Market Prices & Probabilities | Tagged , , , , , , , , , , | 3 Comments

Political Forecasting: Justin Wolfers vs. Nate Silver

- Andrew Gelman nailed it: In summary, “momentum” can exist, but the places where you’ll see it is in races where current public opinion is out of step with best predictions. The mere information that a race has a 5-point … Continue reading

Posted in Forecasting (Science & Practice) | Tagged , , , , , , , , | 1 Comment

Pollster John Zogby attacks statistician Nate Silver. — “You take other people’s polls, compare records for predictions, add in some purely arbitrary (and not transparent) weights, then make your own projections and rankings.”

John Zogby to Nate Silver: Don’t Create Standards You Will Find Hard to Maintain Yourself. Be Honest. Understand That There’s Much More to Being a Good Pollster. Appreciate Innovation. Do Some Polling. Nate Silver responds. UPDATE: Prof Andrew Gelman’s take.

Posted in Forecasting (Science & Practice) | Tagged , , , , , , | Leave a comment

Nate Silver rates New York City’s neighborhoods… and Jason Ruspini objects.

Nate Silver rates New York City’s neighborhoods. Jason Ruspini: The piece is problematic insofar as it underweights proximity to areas where people work, which results in high ratings for distant neighborhoods and low ratings for central ones, on top of … Continue reading

Posted in Analysis (Data), News | Tagged , , , , | Leave a comment

REVOLUTION: Nate Silver says the Internet changed everything in politics. – [VIDEO]

16:35 into, Nate Silver is asked whether he would open up the data fire hose, one day:

Posted in Forecasting (Science & Practice), Science | Tagged , , , , , , , , , | Leave a comment

SXSW: Nate Silver explains how he approached political forecasting for the 2008 US presidential elections. – [VIDEO]

In part #2, he speaks about the books he is writing:

Posted in All Best Posts Ever, Forecasting (Science & Practice), Science | Tagged , , , , , , , , , , , , , | Leave a comment