- THE PDF ICON: It allows you to get the PDF file of the post. You can download the document in PDF format for free.

- THE TWITTER ICON: It allows you to tweet the post on your own Twitter account —this assumes you have already opened a Twitter account.

- THE E-MAIL ICON: It allows you to e-mail the URL of the post to your friend(s) —this assumes you are not a reclusive Unabomber encapsulated in a cabin somewhere in the forest and have indeed friends.

- The other icons are easy to understand.

P.S.: This is a Midas Oracle exclusivity. Overcoming His Prediction Market Bias does not have it. And Odd Research Scientist Head Who Has Plenty Of Regrets can only dream of it.

Hint: A binary bet represents the probability or percentage likelihood of an event happening. In the example above the price is 66 to sell and 67 to buy. You should buy if you think there is a greater than 67% likelihood of the event happening OR sell if you think the probability is less than 66% likelihood of the event NOT happening.

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Thank you, Eric Zitzewitz and Justin Wolfers (among others).

Interpreting Prediction Market Prices as Probabilities – (PDF – Abstract) – by Justin Wolfers and Eric Zitzewitz – 2005-02-01

While most empirical analysis of prediction markets treats prices of binary options as predictions of the probability of future events, Manski (2004) has recently argued that there is little existing theory supporting this practice. We provide relevant analytic foundations, describing sufficient conditions under which prediction markets prices correspond with mean beliefs. Beyond these specific sufficient conditions, we show that for a broad class of models prediction market prices are usually close to the mean beliefs of traders. The key parameters driving trading behavior in prediction markets are the degree of risk aversion and the distribution on beliefs, and we provide some novel data on the distribution of beliefs in a couple of interesting contexts. We find that prediction markets prices typically provide useful (albeit sometimes biased) estimates of average beliefs about the probability an event occurs.

Previously: BetFair’s Global Warming Prediction Markets — CFM’s Views – Out of their 3 event derivatives on global warming, the first two, at least, are flawed products.

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