How political prediction markets save lives

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Over the years there has been a lot of talk in this community about how prediction markets could be &#8220-socially valuable&#8221-. The discussion has often focused on the value of the information and/or predictions that the markets could generate, especially in a political context. Election-based decision markets a la Hanson are thus being held as the highest form of &#8220-socially valuable&#8221- prediction markets, and our best bullet aimed at a possible legalization of real-money markets.

However, just in time for Super Tuesday, I&#8217-ve finally stumbled onto a totally different, and to my mind much more compelling societal benefit of political prediction markets (the real-money kind, like Intrade or Bet2Give). It&#8217-s based on sound science, but has nothing to do with information, prediction accuracy, or the usual economics/decision-support suspects:

Participating in political prediction markets may be good for your health by virtue of reducing the killer stress caused by aggravating political outcomes over which you have very little control as a voter. In essence, you can hedge against despair, and thus reduce your political &#8220-learned helplessness&#8221-. I present this idea more completely, and the science behind it, in NewsFutures&#8217- blog.

The interesting thing is that it should be relatively easy to test, say as a senior psychology research project, but the consequences of a positive result would be huge. Who could argue against the legalization of something that saves lives?

So let the word go forth on this day that if there&#8217-s someone out there who would like to run such an experiment, the industry would gladly help out, either through the PMIA, or through individual stake holders like NewsFutures. And if you&#8217-re in an economics department, please reach out across the social sciences aisle to your psychology colleagues and spread the word! This, by the way, is especially aimed at Justin Wolfers who happens to share the U. Penn campus with Martin Seligman, the founder of Positive Psychology himself, and the inventor of &#8220-learned helplessness&#8221-.

In a Google search of five keywords or phrases representing the top five news stories of 2007, weblogs will rank higher than the New York Times Web site.

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The blogs won the bet.

In a Google search of five keywords or phrases representing the top five news stories of 2007, weblogs will rank higher than the New York Times&#8217- Web site.

The bet has been expired on the &#8220-YES&#8221- side. Dave Winer (representing the bloggers) won &#8212-and Martin Nisenholtz (representing the New York Times &#8212-at the time, in 2002) lost.

Long Bet 2

We decided that a weblog had to be something that would have been recognized as a blog in [2002]. This includes ad supported blogs and commercial blogs like those of the NY Times. While the bettors argument in this case discusses why non-commercial content will beat out commercial content, Winer never provides a definition of a weblog. As it turns out, including major news source blogs like those of the NY Times or sources like Wikipedia do not affect the ultimate outcome in the case of this bet, but they certainly could have.

Hummm&#8230- How come Long Bets could have let people register a not-so-well-defined bet? Long Bets does not seem to be a serious organization to me.

As for what it all means: The blogging software packages are better content management systems than the other, older CMS packages. The blogging software and their specific usage (free access, content parcelisation, dates and keywords inserted in the URLs, peer linking, open comments, etc.) fit better in the Google super system.

Psstt&#8230- One idea for the prediction exchanges like NewsFutures or InTrade would be to open prediction markets on Long Bets topics just weeks before the expiration dates. The event derivative contracts would say that the expiry judge is Long Bets. Emile Servan-Schreiber and Michael Giberson, any thought? :-D

External Link: TechCrunch on what is a blog.

The Borg-Yahoo merger wont work.

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It&#8217-s like taking the two guys who finished second and third in a 100-yard dash and tying their legs together and asking for a rematch, believing that now they&#8217-ll run faster.

Fake Steve Jobs

The cultures will never fit together. And the deal is too big. It&#8217-s not manageable. And it&#8217-s completely anathema to Microsoft. It&#8217-s totally out of character for them. It goes against everything the company has ever stood for.

&#8212-

Psstt&#8230- On a related note&#8230- If you haven&#8217-t seen yet the Fake Steve Jobs address at the Crunchies 2008, (an &#8220-acceptance speech&#8221- he gave coz Apple didn&#8217-t send any representative at the event), you should. Hilarious.

Previous blog posts by Chris F. Masse:

  • No Trades (other than at the start) —-> Not a reliable predictor, as of today
  • How you should read Midas Oracle
  • The best prediction exchanges
  • “There will be no media consumption left in ten years that is not delivered over an IP network. There will be no newspapers, no magazines that are delivered in paper form. Everything gets delivered in an electronic form.”
  • Hillary Clinton won’t be on the Democratic ticket. — It’s not going to happen. — N-E-V-E-R. — Not a chance. — Period.
  • Suggestion for WordPress — Subscribers’ Capabilities
  • This is why I said that those who believe that Hillary Clinton has a chance to be on the Democratic ticket are “clueless”.

The Industry Standard is powered by Consensus Point.

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I&#8217-m free to talk, now.

The Industry Standard is powered by Consensus Point.

The New York Times don&#8217-t print that, but they print that MIT CCI&#8217-s Thomas Malone (branded in the piece as a prediction market evangelizer) has been advising The Industry Standard.

I spotted dozens of news articles on the Industry Standard&#8217-s re-launching. Their spin doctor did a good job. :-D

By the way, speaking of media-managed prediction exchanges, the CNN prediction exchange has some prediction markets with each a total of transactions in the magnitude of 50,000. That&#8217-s awesome. Congrats to Inkling Markets. Mike Giberson (who has become an expert in MSR trading) is one of the traders, probably&#8230-

The true numbers of the BetFair blog readership

They do poorly, as of today. Not surprising, since their content is not interesting (to say the least, and to stay correct). The only traction in the feed readership stats (compiled by the Google Reader, the world&#8217-s most popular feed reader), right now, is the portion of the BetFair blog that is written by a female professional Poker player (&#8221-Annette 15&#8243-). She is sponsored by BetFair Poker.

BetFair blog

Read the previous blog posts by Chris. F. Masse:

  • WordPress founder Matt Mullenweg is my hero and so he should be yours.
  • InTrade-TradeSports has seen more than $50 million wagered on the U.S. presidential election.
  • Prediction markets on who is going to win an election are more accurate then the final Gallup poll.
  • LinkedIn will be data-mining its database of millions of users to find potential experts.
  • Britons can’t get enough of Yankee’s politics.
  • TURNING POINT: BARACK OBAMA EVENT DERIVATIVE NOW AHEAD FOR BOTH DEMOCRATIC NOMINATION AND NOVEMBER’S ELECTION.
  • Five reasons Hillary Clinton should be worried

The concept of information value was not invented by Robin Hanson in the shower one morning for public release to the world via Midas Oracle.

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[The title above is a joke :-D based on Bo Cowgill’s latest comment. To get his joke, you will have to read all the comments there, till the final one (at the time of writing).]

Bo challenges me to publicize a Wikipedia link about the concept of information value. So, here is it:

Value of information (VoI) is undoubtedly one of the most useful notions in decision analysis. […]

Standard Definition

Consider a general decision situation having n decisions (d1, d2, d3, &#8230-, dn) and m uncertainties (u1, u2, u3, &#8230-, um). Rationality assumption in standard individual decision-making philosophy states that what is made or known are not forgotten, i.e., decision-maker has perfect recall. This assumption translates into the existence of a linear ordering of these decisions and uncertainties such that-
– di is made prior to making dj if and only if di comes before dj in the ordering
– di is made prior to knowing uj if and only if di comes before uj in the ordering
– di is made after knowing uj if and only if di comes after uj in the ordering

Consider the case where the decision-maker is enabled to know the outcome of some additional uncertainties earlier in his/her decision situation, i.e., some ui are moved to appear earlier in the ordering. In such case, VoC is quantified as the highest price in which the decision-maker is willing to pay for all those moves. […]

Voila.

Super Tuesday = Free money, if you are smarter than the crowd

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At Overcoming Bias, Eliezer Yudkowsky invites pundits, partisans, and anyone else with a nascent opinion about the limits of prediction markets to, in effect, put up or shut up. (Though he puts it in somewhat nicer words). Here is a selection, but read the whole thing:

If you think that Hillary is going to do better than the polls on Super Tuesday, and you&#8217-re going to sneer afterward and say that Intrade was &#8220-just tracking the polls&#8221-, buy Hillary now.

If you think that Obama is going to do better than the polls on Super Tuesday, and you&#8217-re going to gloat about how prediction markets didn&#8217-t call this surprise in advance, buy Obama now.

&#8230-

The point is not that prediction markets are a good predictor but that they are the best predictor. &#8230- If prediction markets react to polls, they&#8217-re getting new information, that they didn&#8217-t predict in advance, which happens. Being the best predictor doesn&#8217-t make you omniscient.

Everyone&#8217-s going to find it real easy to make a better prediction afterward, but if you think you can call it in advance, there&#8217-s FREE MONEY GOING NOW.

Buy now, or forever hold your peace.

Super Tuesday Showdown: Intrade v. Zogby

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Up at Caveat Bettor.

Zogby poll numbers here. Intrade snapshots taken at 1pm. Here are the notable divergences between the pollster and the prediction market:

NJ Dem: Intrade calling for Clinton, while Zogby in a tie.

CA Rep: Intrade calling for McCain, while Zogby calling for Romney.

Standings&nbsp-&nbsp-&nbsp-
WinsLossesTiesPctContender
&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-
3240.556Intrade
2340.444Zogby
Schedule&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-
ScoreDate&nbsp-StatePartyIntradeZogbyWinner
&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-
3-2-429-Jan&nbsp-FLRepMcCain2-way-tieMcCain
2-2-426-Jan&nbsp-SCDemObamaObamaObama
2-2-319-Jan&nbsp-SCRepMcCainMcCainMcCain
2-2-219-Jan&nbsp-NVDemObamaClintonClinton
2-1-215-Jan&nbsp-MIRepMcCain2-way tieRomney
2-0-28-Jan&nbsp-NHDemObamaObamaClinton
2-0-18-Jan&nbsp-NHRepMcCainMcCainMcCain
2-0-03-Jan&nbsp-IADemObama3-way tieObama
1-0-03-Jan&nbsp-IARepHuckabee2-way tieHuckabee

Seems to me that the TradeSports market was reflecting what was happening on the field, rather than predicting it.

Exactly. :-D

See the fist comment, there.

Read the previous blog posts by Chris. F. Masse:

  • Five reasons Hillary Clinton should be worried
  • TURNING POINT: BARACK OBAMA EVENT DERIVATIVE NOW AHEAD
  • The Best External Web Links On Prediction Markets And On Everything Else
  • The InTrade webmaster is a moron.
  • The Economist rebuts Paul Krugman.
  • The US futures exchanges should not control clearing.
  • Billionaire Stephen Schwarzman: “I don’t feel like a wealthy person.”

Merger Markets on Microsoft-Yahoo

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HP began to explore prediction markets in 1996, but did not even consider applying them to the 2002 HP-Compaq merger. Similarly, Yahoo and Microsoft are two of the companies mentioned most often as being involved in prediction markets (along with their main competitor Google), but I&#8217-ll bet none are considering the by-far-most-valuable markets they could create, on their just-announced proposed merger.

Decision markets could say whether this merger is good for shareholders, by estimating the combined stock price given a merger, and given no merger. Similarly, decision markets could say whether this merger is good for these firms&#8217- customers, by estimating the price and/or quantity of web ads given a merger, and given no merger. This might help convince regulators to approve the merger.

My main doubt here is whether ad price and quantity are good enough measures of the merger&#8217-s social benefits – what other outcomes could such markets estimate, to speak more clearly? And this is a very clear demonstration that these companies are just not serious about finding the highest value applications of prediction markets.

Cross-posted from Overcoming Bias.