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

Organizational Sociology & Googles Enterprise Prediction Markets

Graduate student Ben Spigel&#8217-s comment on Richard Florida&#8217-s blog:

About a decade ago, a group of cognitive scientists looking at Bell Labs found that all things being equal, the chances of two scientists collaborating was 4 times higher if they had offices in the same hallway, than if there was a turn in the hall between them. Basically, people are lazy about talking to other people. There&#8217-s a noticeable drop in communication when you have to turn your neck to see someone.

Reminder:

Robin Hanson in a comment on Marginal Revolution:

This is important work for organizational sociology, but not for prediction markets, as this does little to help us find and field high value markets.

Reminder:

Robin Hanson:

Info Value = the added accuracy the markets provide relative to other mechanisms, times the value that accuracy can give in improved decisions, minus the cost of maintaining the markets, relative to the cost of other mechanisms.

A highly accurate market has little value if other mechanisms can provide similar accuracy at a lower cost, or if few substantial decisions are influenced by accurate forecasts on its topic.

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)


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

  • Are David Pennock’s search engine prediction markets the worst marketing disaster since the New Coke?
  • Midas Oracle is incontestably [*] the best vertical portal to prediction markets.
  • Comment spam paid by Emile Servan-Schreiber of NewsFutures-Bet2Give
  • BetFair Games needs a Swedish provider to develop its gambling offerings.
  • When Markets Beat the Polls – Scientific American Magazine
  • Robin Hanson has some fanboy in India. Great. Tiny caveat: The parroting Indian writer does not acknowledge Robin Hanson by name.
  • Molecular Nanotechnology

The Future of the Prediction Markets

No GravatarEven a prediction market fanboy feeds on the polls &#8212-first and foremost. Steve Dubner, the journalist and co-author of Freakonomics, is, along with his two blog colleagues (Steve Levitt and Justin Wolfers), a strong supporter of the prediction markets. They all have blogged enthusiastically on prediction markets, since the inception of their blog. Steve Levitt calls the InTrade-TradeSports people in Ireland his &#8220-friends&#8220-. Wow. The Freakonomics blog even has a &#8220-Prediction Markets&#8221- blogroll (i.e., a list of external weblinks to the best resources on prediction markets) &#8212-where, of course :-D , Midas Oracle is the cornerstone. :-D To sum it all up, Steve Dubner and his colleagues are true believers in the predictive power of the prediction markets. Good.

Until you analyze this Steve Dubner&#8217-s Freudian lapsus:

[&#8230-] (Fascinating aside: according to a recent Times poll cited in the article linked above, the Florida G.O.P. race is as of now a virtual deadlock between four candidates: Huckabee, Giuliani, McCain, and Romney. This will almost certainly shift as a result of interceding activity, but still, what a spectacle!)

Which forecasting tool does Steve Dubner use to get a sense of the political race du jour? Not the prediction markets&#8230- but the polls.

That speaks volume on the nature of the prediction markets, as forecasting tools.

  1. The polls and the surveys are the primary purveyors of crucial political information, which the political analysts (and&#8230- Steve Dubner :-D ) use to write their reports.
  2. The political prediction markets feed on polls, aggregate them (and other disparate pieces of information), and delivers &#8220-the consensus opinion in a much finer and dynamic way than all the amorphous media buzz&#8220-. They are secondary forecasting tools. They are taken seriously only by the free-market believers (like us) &#8230- but, as the Steve Dubner&#8217-s quote shows, even the prediction market true believers check the polls first.

I think that:

  1. Because of its nature, the prediction market prism, which quantifies the impact of the news, will never be the dominant forecasting tool.
  2. Prediction market journalism will remain on the fringe. It should be developed to serve a targeted audience &#8212-the free-market believers, the busy people, and the event derivative traders.
  3. Conditional prediction markets (a.k.a. decision-aid markets) will never be taken seriously by the decision makers and the public. Robin Hanson&#8217-s tool is very smart, though. Applications should be found within the community of free-market believers, rather.
  4. Enterprise prediction markets (a la Google, Inkling Markets, Consensus Point, etc.) are very interesting because they reflect inside information that can&#8217-t be conveyed by the corporations&#8217- internal media.
  5. The prediction market approach (embodied by InTrade) will always be weaker than the betting exchange approach (embodied by BetFair). I still believe, though, that each prediction exchange should employ both &#8212-which is not the case, right now.

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ADDENDUM: In fairnesses to Steve Dubner, it should be noted that, in the same post, he put up a blunt challenge to polling methodology:

[&#8230-] As for the discrepancy between the two polling questions, take note: that’s the difference between a fill-in-the-blank polling question (i.e., “Which is the most important problem …”) versus a leading polling question (”Do you view crime as a ‘very serious problem’?”). The next time you read a poll and think it may be hinky, ask yourself what question the pollsters actually asked. [&#8230-]

Previous blog posts by Chris F. Masse:

  • Red Herring’s list of the top 100 North-American high-tech startups includes Inkling Markets —but not NewsFutures, Consensus Point, or Xpree.
  • Professor Koleman Strumpf explains the prediction markets to the countryland people.
  • Professor Koleman Strumpf tells CNN that a prediction market, by essence, can’t predict an upset.
  • Time magazine interview the 2 BetFair-Tradefair co-founders, and not a single time do they pronounce the magic words, “prediction markets”.
  • One Deep Throat told me that this VC firm might have been connected with the Irish prediction exchange, at inception.
  • BetFair Rapid = BetFair’s standalone, local, PC-based, order-entry software for prediction markets
  • Michael Moore tells the Democratic people to go Barack Obama in Pennsylvania (a two-tier state), but the polls and the prediction markets tell us that that won’t do the trick.

Enterprise prediction markets will be the next big thing when…

Tom Davenport:

  • Confidence that executives have valuable roles to play even if they don’t always have the right answer-
  • A high level of trust in the intelligence and capabilities of employees-
  • The willingness to follow numbers and analysis wherever they lead (as long as they are more-or-less consistent with common sense)-
  • A pretty strong analytical and financial orientation (since futures markets aren’t something that every Joe or Jane understands).

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

  • We regret to inform you of the passing of BettingMarket.com.
  • Niall O’Connor, the one-data-point analyst
  • The best headline of the day –post Michigan
  • Enterprise prediction markets will be the next big thing when… hierarchies are flat.
  • Prediction Markets vs. Bookmakers — The Ultimate Argument
  • The Michigan primary as seen thru the prism of the InTrade prediction markets
  • BitGravity = video distribution network

ROBIN HANSON TELLS THE TRUTH ON GOOGLES ENTERPRISE PREDICTION MARKETS.

No Gravatar

Robin Hanson:

Yes prediction markets are cool, Google is cool, and it is cool that Google had location data to show how location influences trading. But cool need not be useful. People are not asking the hard questions here: what value exactly is Google getting out of these markets, aside from helping them look cool?

Robin Hanson is a modern-day hero. Speaks the truth. Has a clear vision. Doesn&#8217-t mind to act as a contrarian, now and then. Like Winston Churchill. Is a real leader.

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)

Robin Hanson is not convinced by the Google experiment with enterprise prediction markets -to say the least.

No Gravatar

Robin Hanson in a comment on Marginal Revolution:

This is important work for organizational sociology, but not for prediction markets, as this does little to help us find and field high value markets.

Finally, somebody who speaks the truth.

See also the comment of economist Michael Giberson.

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)

Have Googles enterprise prediction markets been accurate?

No Gravatar

Justin Wolfers:

So we decided to move beyond asking, “Do prediction markets work?” and instead use them as a tool for better understanding how information flows within a (very cool) corporation.

I am more interested in the accuracy of the enterprise prediction markets than in corporate micro-geography issues.

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)

Bet2Give on CNBC: High impacting media infiltration

No GravatarCNBC – The Closing Bell – Maria Bartiromo interviewed NewsFutures&#8217- Norris Clark about Bet2Give and about NewsFutures&#8217- enterprise prediction markets. It was great. Great.

The VideoThe Video

If Emile Servan-Schreiber or Norris Clark put the video on YouTube, I will embed it in a blog post on Midas Oracle. And if they send me the transcript, I will publish it. It was great. The visuals were great &#8212-like slides. Very good. We&#8217-re making progress, folks.

Some remarks: I didn&#8217-t like that Norris Clark defined Bet2Give as a &#8220-prediction market&#8220-, as opposed to a prediction exchange. And I object about talking about a &#8220-stock market of future events&#8221-. It&#8217-s a derivative exchange for future events, rather.

Bet2Give on CNBC

UPDATE: NewsFutures CEO Emile Servan-Schreiber comments&#8230-

This &#8220-Sinning &amp- Winning&#8221- tag line below the screen is very strange, since Bet2Give is explicitly about neither. It goes to show how deeply the association between betting and sinning is rooted in the American psyche. By that measure, we&#8217-ve got a looooong way to go still before widespread acceptance of PMs [= prediction markets], not to mention legalization.

Read the previous blog posts by Chris F. Masse:

  • Michael Gerber – The E-Myth Revisited
  • Changes to TradeFair prediction markets
  • Eric Zitzewitz, laughing all the way to the bank
  • Michael Bloomberg: I’m not running… but, beware, I am a King maker.
  • Meet the 3 Iowa Electronic Markets co-founders: George Neumann, Forrest Nelson and Robert Forsythe.
  • When Markets Beat The Polls – Scientific American Magazine
  • GLOBAL COOLING