1. Facebook:

Did Facebook popularity help in predicting Election Night winners? An early sample of some of the hottest House and Senate races bodes well for the world’s largest social networking site. The Facebook political team’s initial snapshot of 98 House races shows that 74% of candidates with the most Facebook fans won their contests. In the Senate, our initial snapshot of 19 races shows that 81% of candidateswith the most Facebook fans won their contests. The U.S. Politics on Facebook Page (Facebook.com/USpolitics) will offer more comprehensive coverage later today. Stay tuned.

Via PSFK.

    Facebook:

    Did Facebook popularity help in predicting Election Night winners? An early sample of some of the hottest House and Senate races bodes well for the world’s largest social networking site. The Facebook political team’s initial snapshot of 98 House races shows that 74% of candidates with the most Facebook fans won their contests. In the Senate, our initial snapshot of 19 races shows that 81% of candidateswith the most Facebook fans won their contests. The U.S. Politics on Facebook Page (Facebook.com/USpolitics) will offer more comprehensive coverage later today. Stay tuned.

    Via PSFK.

     
  2. The dismal performance of the experts inspired Mr. Tetlock to turn his case study into an epic experimental project. He picked 284 people who made their living ‘commenting or offering advice on political and economic trends,’ including journalists, foreign policy specialists, economists and intelligence analysts, and began asking them to make predictions. Over the next two decades, he peppered them with questions: Would George Bush be re-elected? Would apartheid in South Africa end peacefully? Would Quebec secede from Canada? Would the dot-com bubble burst? In each case, the pundits rated the probability of several possible outcomes. By the end of the study, Mr. Tetlock had quantified 82,361 predictions.

    How did the experts do? When it came to predicting the likelihood of an outcome, the vast majority performed worse than random chance. In other words, they would have done better picking their answers blindly out of a hat. Liberals, moderates and conservatives were all equally ineffective. Although 96% of the subjects had post-graduate training, Mr. Tetlock found, the fancy degrees were mostly useless when it came to forecasting.

    — 

    Jonah Lehrer’s Head Case Column on Punditry - WSJ.com (via ayjay)

    If that’s not a brief for humility, pragmatism and iteration, then what is?

     
  3. smarterplanet:

emergentfutures:

Twitter  Predicts the Future
The chatter in Twitter can accurately predict the box-office revenues of  upcoming movies weeks before they are released. In fact, Tweets can  predict the performance of films better than market-based predictions,  such as Hollywood Stock Exchange,  which have been the best predictors to date.


One step closer to the Singularity. I would not have guessed Twitter would be in the vanguard.

    smarterplanet:

    emergentfutures:

    Twitter Predicts the Future

    The chatter in Twitter can accurately predict the box-office revenues of upcoming movies weeks before they are released. In fact, Tweets can predict the performance of films better than market-based predictions, such as Hollywood Stock Exchange, which have been the best predictors to date.

    One step closer to the Singularity. I would not have guessed Twitter would be in the vanguard.