Tag Archives: WSJ

Justin Wolfers pumped up the shitty, play-money prediction exchange run by InTrade/WSJ.

Posted on October 27, 2010 by Chris F. Masse

Shit here. The fake-money exchange is pitiful, and to have a professor pumps up that shit is pitiful too. UPDTE: That was the 2008 election. Fortunately, this crappy exchange is dead. Here’s Freakonomics on the 2010 election.

Posted in Exchanges & Markets, Market Prices & Probabilities, Predictions - Forecasts | Tagged InTrade, Justin Wolfers, play-money prediction markets, prediction markets, Wall Street Journal, WSJ | Leave a comment

Mystification, demystification, value assessment, and prediction markets

Posted on October 3, 2008 by Chris F. Masse

Justin Wolfers: Prediction markets can yield valuable insight into the dynamics of political campaigns, a conclusion we’ve drawn from years of intensive study and research. We’ve even proselytized about the value of these markets, extolling their ability to yield sharper … Continue reading →

Posted in All Best Posts Ever, Analysis (Industry), Analysis (Meta), Exchanges & Markets, Forecasting (Science & Practice), Leading & Lagging Indicators | Tagged bet markets, betting markets, event derivative markets, information value assessment, Justin Wolfers, prediction markets, Robin Hanson, value of the prediction markets, Wall Street Journal, WSJ | 2 Comments

Now that Joe Biden is the Democratic vice president nominee, what to think of Justin Wolfers’ August 1st column for the WSJ?

Posted on August 26, 2008 by Chris F. Masse

- The good point is that he dealt well with the fact that the VP prediction markets fed on primary indicators that are less reliable than the ones used for the political elections. – The bad point is that, at … Continue reading →

Posted in All Best Posts Ever, Analysis (Accuracy & Precision), Analysis (Data), Exchanges & Markets, Market Expiry, Market Prices & Probabilities, Prediction Journalism | Tagged Democratic vice president nominee, Evan Bayth, event derivative markets, event derivatives, InTrade, Joe Biden, Justin Wolfers, Kathleen Sebelius, Politics, prediction market analysis, prediction market analysts, prediction market journalism, prediction markets, real-money prediction markets, Tim Kaine, US politics, vice president prediction markets, VP prediction markets, VP-candidate prediction markets, Wall Street Journal, WSJ | 3 Comments

A Mystery Wrapped In A Riddle Inside An Enigma — CFTC Edition

Posted on July 12, 2008 by Chris F. Masse

How could that “exemption” guy have climbed to the top of Memeorandum even though there are no blogs listed that have discussed that WSJ piece? -

Posted in Internet Marketing - Internet Commerce, Prediction Journalism | Tagged Memeorandum, Wall Street Journal, WSJ | Leave a comment

BAD KARMA FOR PREDICTION MARKET JOURNALISM: Almost nodoby has linked to Justin Wolfers’ articles at the Wall Street Journal.

Posted on April 25, 2008 by Chris F. Masse

Considering that he is the #2 researcher in our field, that he issued bold statements on the use of market-generated predictions by journalists (“2020″), that the WSJ is the premier business publication, then that’s bad omen for prediction market journalism … Continue reading →

Posted in Internet Marketing - Internet Commerce, Prediction Journalism | Tagged event derivative markets, event derivatives, Justin Wolfers, prediction market journalism, prediction markets, researcher, The Wall Street Journal, Wall Street Journal, WSJ | Leave a comment

How to read the Wall Street Journal stories on prediction markets… FOR FREE

Posted on April 11, 2008 by Chris F. Masse

Very simple. The WSJ is free if you come from big news content aggregators (like Digg or Google News). If you can manage to have your browser produce artificially a Digg or Google News referral, then you’re permitted to enter … Continue reading →

Posted in Ethics, Information Technology | Tagged content, Digg, FireFox, free, Google, Mozilla FireFox, referrals, RefSpoof, The Wall Street Journal, Wall Street Journal, WSJ | Leave a comment