Tag Archives: Oscars

The Oscars 2011 & The Prediction Markets – [POST-MORTEM]

Paul Hewitt.

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Best Picture: The Social – [VIDEO]

CBS.

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Oscars 2010 Post-Mortem — InTrade Prediction Markets

Professor Mark Perry is wrong to yell victory. Evaluating probabilistic predictions is tougher than one thinks. Source: InTrade

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Conditional Likelihood Loss — Redux

- Nate Silver: 0.6032 – InTrade: 0.3699 – HubDub: 0.2237 HubDub beats both InTrade and Nate Silver.

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Conditional Likelihood Loss

- Nate Silver: 0.6032 – InTrade: 0.3699 InTrade looks much better than Nate Silver on the Oscars 2009. Waiting for the HubDub numbers, now. Nigel, are you napping or what?

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HubDub: “We nailed all 50 states; Panos did not.”

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UK’s Guardian lambasts Mr Crystal Balls Nate Silver.

“A less-than-brilliant Oscars for Nate Silver, who used his skills as a baseball statistics nerd to turn his politics blog, FiveThirtyEight.com, into the online hit of last year’s election. Silver predicted the presidential outcome with eerie precision, and gamely crunched … Continue reading

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HubDub takes home the Gold at the Oscars.

Well the Oscars have come and gone and although most pundits are chattering about Slumdog’s amazing 8 wins and Hugh Jackman’s dulcet tones, I’m more impressed by Hubdub’s amazing success. Out of the major races, we got EVERY SINGLE ONE … Continue reading

Posted in All Guest Authors's Posts, Analysis (Accuracy & Precision), Entertainment, Exchanges & Markets, Market Expiry, Market Prices & Probabilities | Tagged , , , | 25 Comments

Predicting the Oscars is in no way the right litmus test for assessing the predictive power of the prediction markets.

Mickey Kaus: Most people in the U.S. with indoor plumbing could get [the Oscars] right.

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Nate Silver’s model vs. InTrade’s prediction markets

The information is below. However, before that, just a short note. – The real comparison to do would be to compare the prediction markets with a panel of very diverse Oscar predictors. The real question to ask is, “Was forecasting … Continue reading

Posted in Analysis (Accuracy & Precision), Analysis (Meta), Exchanges & Markets, Forecasting (Science & Practice), Market Expiry, Market Prices & Probabilities | Tagged , , , , , , | 3 Comments