You know what I thought when I first saw that picture (little Fogarty planted next to Master Of Credit Alan Greenspan)?… I thought, well, its about time that the prediction market industry does the product endorsement by celebrity marketing thing. BetFair premiered that with John McCririck.

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TV-famous horse racing pundit: John McCririck.

John McCririck

John McCririck endorsing BetFair

Look at the inconsistency between the two faces. Mat Fogarty is jubilant like if he had just stolen a big client from Inkling. Alan Greenspan, on the other hand, has a constipated look that conveys that he is fed up with all those conference co-speakers asking him out for a photo op.

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When Robin Hanson realizes that ALL the prediction market luminaries BUT HIM have joined the LinkedIn group on Prediction Markets, he will rush to ask for an invite.

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Join the LinkedIn group on &#8220-Prediction Markets&#8221- &#8212-WE ARE NOW 79 MEMBERS.

Don&#8217-t forget to make the group badge visible on your profile &#8212-OTHERWISE, THE DAMN PURPOSE IS DEFEATED.

If you want your affiliation with the &#8220-Prediction Markets&#8221- group to appear on your LinkedIn profile (HIGHLY RECOMMENDED FOR NETWORKING), click on &#8220-Edit Public Profile Settings&#8221-, and check the &#8220-Groups&#8221- option.

FAMOUS SCIENTIST TO ROBIN HIGH IQ HANSON: Science, which is a very long-term endeavor, does not need your stickin idea about scoreable predictions and track records. Please, go back to minding economic issues in your Ivory Tower, and let us run science our way, on our timing. Thanks. Appreciated.

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Overcoming Whatever:

I don&#8217-t really think the comparison with sports/business/weather forecasters really holds up, for a prosaic reason &#8212- in particle physics, the timescale for experiments is years and decades, not days. There is no way to efficiently grade/reward people on the accuracy of their predictions, and correspondingly no real incentive for anyone to make very quantitative predictions.

On the other hand, it&#8217-s not as if there is no incentive to be right. If you devote your life to working out the ramifications of low-energy supersymmetry and it&#8217-s not there, you won&#8217-t get fired (if you have tenure), but on the other hand your life&#8217-s work will be useless. Which is a pretty big incentive.

Posted by: Sean Carroll [from Cosmic Variance] | August 11, 2008 at 12:25 PM

&#8212-

Sean, I don&#8217-t understand the relevance of the timescale to the efficient grading of predictions. Given enough forecasts we can see a signal of accuracy above the noise of luck in individual forecasts. I agree that the longer the timescale the weaker are incentives from any given reward tied to scoring. But I&#8217-m not really focused on incentives in this post – I&#8217-m focused on whether it is reasonable for folks to crow about being vindicated when they weren&#8217-t willing to make scoreable forecasts.

Posted by: Robin Hanson | August 11, 2008 at 12:35 PM

Scientists don&#8217-t want to make scoreable forecasts.

Hence, it is impossible to collect track records.

Period.

Robin Hanson&#8217-s idea has no application &#8212-over than vanity blogging.

Let&#8217-s go back to our prediction markets (where traders work, for free, as info collectors).

Let&#8217-s not waste our precious time on fruitless ideas.

Track Record Collecting vs. Prediction Markets

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Robin Hanson&#8217-s false good idea: collecting track records.

But his post is the living proof that he is wrong:

  • Prediction markets incentivize traders in researching issues (reading the experts&#8217- works), making probability bets, and delivering a collective verdict-
  • Experts don&#8217-t like to state publicly their home-made probabilistic predictions &#8212-as his post shows.

And if experts are not used to express scoreable forecasts, then, by essence, you can&#8217-t collect anything. Hence, the superiority of the prediction market method.

Another false good idea from Robin Hanson.

Subsidizing real-money prediction markets and real-money conditional prediction markets

Should Google subsidize the Lunar X Prize contract on InTrade?

John Salvatier,

Our good friend Bo Cowgill might have already re-created those prediction markets on Google&#8217-s internal prediction exchange at a marginal cost of zero US dollar. No need for him to &#8220-subsidize&#8221- external prediction markets.

[As an appendix, I precise that I am in favor of opening the enterprise prediction markets to external traders, for some questions.]

Subsidizing prediction markets is an old Robin Hanson idea that carries quite a heavy price tag.

Conditional prediction markets is a great idea on the paper. Many people (e.g., Mike Linksvayer) like the idea. However, here is what the uncritical Robin Hanson fanboys blogging on Overcoming Whatever won&#8217-t tell you:

  • The first problem is that nobody trades those things.
  • The second problem is that subsidizing those conditional prediction markets costs an arm and a leg.
  • The third problem is that no major news media outlet has ever quoted the prediction market prices / probabilities generated by those conditional prediction markets.

Peter McCluskey could have rent a French mistress (or a French gigolo) for a full year with all the money he is spending on Robin Hanson&#8217-s idea. Or vaccinated the whole African continent against Malaria. See Peter&#8217-s comment, at the middle of the webpage, here.

Philanthropy and prediction markets are not mixing well &#8212-yet.

Google PageRank of the main Prediction Market Consultants

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Inking Markets and NewsFutures are graded 6 / 10.

Consensus Point and Xpree are graded 5 / 10.

My great friend David Perry of Consensus Point is making a strategic mistake by insisting on discretion and secrecy.

I told him 10 times.

To no avail.

Pissing in a violin in order to create a symphony would have been more fruitful.

PageRank is important.

One day, we will learn in the Wall Street Journal that a Fortune-500 CEO is fired by the board for a low PageRank.

That will happen one day- you will see.

The Prediction Market Consultants