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-.

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

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.

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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.

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.

News Aggregation + Prediction Markets

Dollar Head

On Wednesday, January 30, 2008, at 9:00 AM PST (12:00 PM EST- 5:00 PM GMT- 6:00 PM CET), dollar-thirsty Nigel Eccles (pictured above) will be introducing HubDub at DEMO 2008 (one of the best IT conferences, along with eTech, LeWeb, CES, etc.). The DEMO website will be live-streaming the presentation video.

My best wishes go to Nigel Eccles for his presentation. (Is there something to win, at that DEMO conference? Is it a startup contest? Is there a trophy to win, at the end?)

Trophy

In my view, the launch of HubDub (both a news aggregator and a MSR-powered, play-money prediction exchange) is a milestone.

Washington Delaware

It&#8217-s not the first time that a prediction exchange adds content to its offerings (they all do that, now, even in small ways), but it&#8217-s the first time that:

  1. Quality content from the outside (that is, from professional media organizations, including news blogs) is systematically included into the exchange offerings-
  2. Pertinent associations between the prediction markets and the news stories are proposed. (On top of the news aggregation mechanism, people vote for the most relevant stories on each prediction market page, so as to help the other traders to be better informed on the topic at hand. And, when creating an event derivative, the manager is asked to jot down keywords, which will be used by the search engine to harness links related to that prediction market.)

The Midas Oracle readers remember that I have been bullish on HubDub since day one. (See my previous post: HubDub wil redefine the play-money exchange landscape.) Others are now following.

Welcome Mat

I&#8217-m not alone, anymore, in thinking that prediction market pages should published the URLs of the related advanced indicators (i.e., primary sources of information).

Boy Scout

Enterprise prediction market consultant Jed Christiansen (pictured above).

Good Samaritan

Internet usability expert Alex Kirtland (pictured above).

2 People Conversing

And, after a good discussion, others came in agreement with the no-brainer idea that more external links and more information can be good for the prediction markets. (Next obvious discoveries: The sky is blue- The sun rises from the East- Water is wet- War is bad- The Internet is world wide- The French fries are not fried in France- The French bread is not baked in France- etc. :-D )

Smiley

If you think of it, David Pennock (pictured above) is the man to hire to tackle the problematic of integrating news links/stories with prediction markets &#8212-since he is a world-renowned expert in both microeconomics and search engine technology. We are on his turf, here. :-D Hence, he should be the one leading us &#8212-as opposed to us pulling him. :-D

Human Chart

What should the humans do with the prediction markets? As Michael Giberson knows better than I do, probabilistic predictions are the offspring of the trading activities on the event derivative markets. At inception, BetFair and TradeSports didn&#8217-t give the first fig about those probabilistic predictions, but today, the event derivative industry is being defined both by its betting side and its forecasting side.

And now we can see the main difference between the betting exchange approach and the prediction market approach: promoting (the trading of low-cost event derivatives) to bettors versus promoting (the generating of dynamic, objective probabilistic predictions) to people.

Statue Muscles

See, the prediction market approach consists in chasing people with news and probabilities. Hence, my personal version of HubDub would feature an aggregation news item (a la TechMeme, Memeorandum, or BallBug), mixed up with the appropriate InTrade/TradeSports/BetFair dynamic chart to give a hint on how the issue at hand will be settled in the near future. Content, first, and then the related prediction market chart &#8212-as an informative appendix to a good scoop or quality analysis. The prediction market page would anti-chronologically list all the relevant news links.

US Symbols

And since the US (not Scotland) is the most fertile place for web search technologies, I bet that we will see soon some US-based HubDub-inspired startups popping up like champagne bubbles in the coming months and years.

Better Prediction Markets = A Better World

People Globe Big

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

  • WHY THE PREDICTION MARKETS WILL LIKELY F**K UP SUPER TUESDAY 2008.
  • Still unconvinced by prediction market journalist Justin Wolfers
  • Oprah Winfrey
  • RIGHT-CLICK THIS IMAGE, AND FILL IN THIS SURVEY, PLEASE.
  • Papers on Prediction Markets
  • The Journal of Prediction Markets
  • The 45-degree Line

Xpree = Innovations + Prediction Markets

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Xpree launches Open Innovation Markets, a simplified betting interface and also a new website.

Open Innovation Markets combines crowd based innovation, voting and prediction markets. The idea is to brainstorm as a community, vote on the ideas to rank them, then forecast key metrics using a market (cost to develop etc). Prediction markets work well for the estimations of unbiased key metrics, combining this with voting allows the crowd to bet on only the top ranked ideas.

In an effort to make truly Usable Markets, we changed from a &#8220-stock trading&#8221- metaphor to a &#8220-betting&#8221- metaphor. In research, we found that players found shorting stock to be a lot less intuitive than going long. With betting, &#8220-I bet $100 that X is lower than 3,000&#8243- is as easy as saying &#8220-I bet $100 that X is higher than 3,000&#8243-, and is a whole lot easier than &#8220-I sell short 10 stock units at an average price of $X, and cover this with $Y&#8221- etc. We have some demos on our site for you to try out. For the prediction market purists out there, we still allow the player to see the underlying prediction market dynamics – no black boxes at Xpree.

Feedback welcome.

prediction markets

Predictocracy = Market Mechanisms for Public and Private Decision Making

No GravatarRobin Hanson:

[&#8230-] The main problem with using [Michael] Abramowicz&#8217-s book as a &#8220-technical manual&#8221-, however, is that he&#8217-s never actually seen, much less touched, most of the blocks he describes. His conclusions are not supported or tested by math models, computer simulations, lab experiments, field trials, nor a track record of successful past proposals – it is all based on his untested intuitions. And he doesn&#8217-t seem inclined to do any such testing himself – he hopes his book will inspire others to do that. There is of course a spectrum of rigor in how solidly one can support a claim. Most business decisions are based on far less rigor that elite academics often demand, and there is surely a place for &#8220-brainstorming&#8221- speculation. Compared with most academics, I admit I have often been more than toward the speculation end of the spectrum, though I have tried to test my speculations via math models, lab experiments, field trials, and have arguably collected a modest track record of success. [&#8230-]

Michael Abramowicz&#8217-s response:

[&#8230-] The incentives provided by two of my technical proposals (the decentralized subsidy approach and the nobody-loses prediction market) are sufficiently straightforward to me that math seems superfluous to me, though I agree that field tests comparing these with alternatives would be useful. Two of the proposals (the text-authoring market and the market web) could certainly benefit from experimentation, but the software needed to implement them would be considerably more complicated than what is needed for existing prediction markets. [&#8230-]

Robin Hanson&#8217-s second take.

Michael Abramowicz&#8217-s post.

Robin Hanson on futarchy vs. predictocracy.

Michael Abramowicz.

Robin Hanson.

I will blog about this book, once I have read it, in the near future.

Predictocracy = Market Mechanisms for Public and Private Decision Making

All the book is online, at the web address above. You can also buy it at bookshops, or at Amazon.

Predictocracy

Read the previous blog posts by Chris F. Masse:

  • Many people twitter on prediction markets.
  • Folks, when you have something important to say, write up a full post, not a comment.
  • Prediction Market Journalism
  • TechCrunch is 221 times bigger than Midas Oracle.
  • Earthquake measuring 9.0 or more on Richter scale to occur anywhere on or before December 31, 2008
  • Why Midas Oracle (and not TV news shows or print newspapers) will dominate the future.
  • The Six Degrees Of Separation

Midas Oracle is the only popular, independent, exhaustive, multi-author, multi-exchange, Web-based resource on prediction markets.

Dear Midas Oracle readers,

I&#8217-m happy to report progress in building the architecture and content of our group blog, Midas Oracle. Let me introduce you to our 2 master pages: &#8220-PREDICTIONS&#8221- and &#8220-BEST&#8221-.

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#1. PREDICTIONS

Predictions

http://www.midasoracle.org/predictions/

= our explainer on prediction markets + the best charts of prediction markets

Following the New Hampshire brouhaha, I believe that the way to go is to systematically associate (when time and space permit) a short probability explainer to any published chart of prediction market. You can see such an association at the top of our blog frontpage. I will do that in some blog posts, too, in the future.

Political charts from InTrade and NewsFutures are published there. Charts from more exchanges will be added there over the coming weeks, months, and years. Suggestions are welcomed.

Thanks to Michael Giberson and Emile Servan-Schreiber for some tiny input in establishing that brand-new page.

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#2. BEST

Best

http://www.midasoracle.org/best/

= the best external weblinks on prediction markets + the best Midas Oracle posts on prediction markets

This file has been quite popular &#8212-see the web stats report, in the appendix. I will, of course, augment this file with many more pointers, in the coming weeks, months, and years. Suggestions are welcomed.

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#3. ARCHIVES

Archives

http://www.midasoracle.org/archives/

You can now search the archives of the Midas Oracle blog posts &#8212-by date, by category, by tag, by poster, etc. Bo Cowgill will now be able to dig the Midas Oracle archives to unearth all &#8220-the inaccuracies&#8221- that I have printed &#8220-over the years&#8221-. :-D Good luck for your quest, Bo.

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#4. LOOKING FORWARD

Forward

More pageviews for the blog.

More coverage of the prediction markets (as opposed to coverage of the prediction market industry) &#8212-on the other two blogs (Midas Oracle .NET and Midas Oracle .COM).

More academic paper reviews.

A sense of what could be prediction market journalism (pioneered by Justin Wolfers in the Wall Street Journal).

A discussion on the usefulness of a prediction market plugin for WordPress.

And, maybe, the building of an advisory board for Midas Oracle &#8212-if that makes sense and serves a purpose.

Step one towards our ultimate goal: WORLD DOMINATION. :-D

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APPENDIX

Below are pageviews of the most popular Midas Oracle webpages, since September 2006. For the posts (as opposed to the pages), to get a more complete picture, you should add the number 1,050 (estimation) to the numbers below &#8212-to account for the feed subscribers (900) and the blog frontpage readers (150), who both also consumed the posts in question.

Please note that these stats are from Google Analytics. When assessing the popularity of Midas Oracle against other websites, do use the Google Analytics numbers, and not numbers from other web stats services. (I also have server stats, whose numbers are much more impressive, but they don&#8217-t count the same things.) Thanks.

Stats

Stats2

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

  • Our good doctor EJSS laughs at the “Web 2.0” concept on TechCrunch, but touts it as an essential part of the NewsFutures offerings on his website.
  • NewsFutures do *NOT* favor event derivative management by traders.
  • Who will win Super Bowl XLII? Patriots vs. Giants
  • NewsFutures presidential widget
  • Win Florida, win the nomination.
  • Barack Obama’s victory in South Carolina won’t stop the Clintons.
  • eTech 2008 — Google’s enterprise prediction markets

Business Overconfidence as seen thru Googles Enterprise Prediction Markets

Bo Cowgill:

At OVERCOMING BIAS, Robin Hanson blogs about the overconfidence of CEOs, CFOs and software managers. Our paper also measured overconfidence in the workplace. We found that our marketplace was overconfident as a whole, although the market&#8217-s optimistic bias subsided as time passed. We also pointed out the particular overconfidence exhibited by new employees &#8212- but prediction markets can be used to measure overconfidence and other biases for any part of an organization. Note that our study was about overconfidence regarding their employers&#8217- prospects on a variety of fronts. In a future draft, we hope to measure overconfidence for by looking at how people bet in markets related to their day-to-day jobs. In Table 9 of our paper, you can see some other information about what parts of the company produced the biases (although admittedly not in the most readable format).

Here&#8217-s the table 9. Right-click on the thumbnail to open it in another of your browser tabs.

Table9

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Related Links:

Using Prediction Markets to Track Information Flows: Evidence From Google – (PDF file – PDF file) – by Bo Cowgill (Google economic analyst), Justin Wolfers (University of Pennsylvania) and Eric Zitzewitz (Dartmouth College)

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

  • Why you should launch your brand-new prediction exchange at a conference
  • Why Indian Software Outsourcing Companies are Outsourcing to China
  • Midas Oracle is the only popular, independent, exhaustive, multi-author, multi-exchange, Web-based resource on prediction markets.
  • Here’s an example of the total crap that the BetFair blog is publishing.
  • P(election) = P(nomination) * P(election conditional on nomination)
  • Journalism Failures — Big Time
  • South Carolina showdown: Barack Obama vs. Hillary Clinton

Fundamentals of Prediction Markets: Probabilities, Prediction Timescale, and Absolute & Relative Accuracy

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Jed Christiansen outputs the best explainer on prediction markets I&#8217-ve seen in years. Go read it.

– Fundamentals of Prediction Markets
– Different types of Prediction Markets
– Problem #1 – Understanding Probabilities
– Problem #2 – Prediction timescale
– Problem #3 – Assessing accuracy
– Problem #4 – Compared to what?
– Summary – How have the political prediction markets really performed?