BetFair, TradeSports-InTrade and the Hollywood Stock Exchange do control what you read on Wikipedia.

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Puppet

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– BetFair has been editing Wikipedia 6 times.

– TradeSports-InTrade has been editing Wikipedia 33 times.

– Cantor (the owner of the HSX): 134 times.

– Google (of Bo Cowgill) and Yahoo! (of David Pennock and Daniel Reeves): hundreds of times.

– University of Iowa (the owner of the Iowa Electronic Markets), George Mason University (the working place of Robin Hanson): thousands of time.

– MicroSoft (of Henry Berg): DOZENS OF THOUSANDS OF TIMES.

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Wiki Scanner: Search the Wikipedia edits to spot the organizations that edited it. – [One interesting function is temporarily disabled. It would allow us to spot exactly what it is that the firms did edit on a particular Wikipedia page. When this functionality is re-instated, I will write a more detailed blog post.]

Wiki Scanner FAQ

1. Wholesale removal of entire paragraphs of critical information. (common for both political figures and corporations)
2. White-washing &#8212- replacing negative/neutral adjectives with positive adjectives that mean something similar. (common for political figures)
3. Adding negative information to a competitor&#8217-s page. (common for corporations)

[…] Overall&#8211-especially for non-controversial topics&#8211-Wikipedia seems to work. For controversial topics, Wikipedia can be made more reliable through techniques like this one. As for other approaches, I think colored text is a promising direction for combating disinformation in wikipedia. […]

List of salacious edits, by Wired

New York Times – Slate

The Wikipedia pages: prediction markets and betting exchanges.

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Hence the need for Midas Oracle as an independent and reliable source of information on prediction markets. Here, David Yu, John Delaney, Alex Costakis and company don&#8217-t control what you read.

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Previous: WIKIPEDIA CENSORS BETFAIR. &#8211-&gt- Now we can suspect why. See above.

Decision markets that give the consequences of something

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Here&#8217-s what Robin Hanson meant&#8230- when he wrote:

[…] markets that give the consequences of electing any particular candidate.

This:

Let U = the unemployment rate, D = Democrats win, and R = Republicans win. An exchange rate between “Pays $U if D” and “Pays $1 if D” gives an estimate of E[U|D]. Similarly, an exchange rate between “Pays $U if R” and “Pays $1 if R” gives an estimate of E[U|R]. We can compare E[U|D] and E[U|R] to see which candidate is expected to have a lower unemployment rate. And we know how to pay off all of these assets, no matter what happens.

More:

Since we can pay off all the assets objectively, predictions of their relative value are also predictions about objective things, not just about opinion. Any information about what employment policies a candidate would choose, and about the consequences of those policies, could be relevant.

More in Robin Hanson&#8217-s paper on &#8220-decision markets&#8221- &#8212-PDF file.

And read Mike Giberson&#8217-s comments on the Patri Friedman blog post. (He likes it and thinks I was too harsh on it.)

Jed Christiansen strongly believes that Chris Masse has a bad understanding of probabilities.

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And he could be right. :-D

The only way to evaluate accuracy of predictions is with a sufficient group or series of predictions.

I don&#8217-t disagree with that. My previous blog post on the Karl Rove prediction market simply stated that:

  1. The NewsFutures prediction on Karl Rove happened to be wrong.
  2. The resignation prediction markets are usually wrong.
  3. There are different kinds of prediction markets. The resignation prediction markets are of the kind where there are no reliable advanced indicators.

Jed Christiansen and Emile Servan-Schreiber want to deny us the right to say that an individual prediction was inaccurate. I respectfully disagree with that. Other than that, I agree with their general point about using long series and understanding the true nature of probabilities. But, in day-to-day life, we all assess the accuracy of individual predictions. While it&#8217-s not the most important angle, that&#8217-s not something to censor, in my view.

On a related note, Midas Oracle should publish more excerpts of papers that assess long series of prediction markets. We will work on it in the future.

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Karl Rove will resign from the White House.

(You will spot that the prediction market was predicting, lately, that the probability for a Karl Rove resignation was only about 20%.)

Karl Rove resignation - NewsFutures

Previous blog posts by Chris F. Masse:

  • Become “friend” with me on Google E-Mail so as to share feed items with me within Google Reader.
  • Nigel Eccles’ flawed “vision” about HubDub shows that he hasn’t any.
  • How does InTrade deal with insider trading?
  • Modern Life
  • “The Beacon” is an excellent blog published by The Independent Institute.
  • The John Edwards Non-Affair… is making Memeorandum (twice), again.
  • Prediction Markets = marketplaces for information trading… and for separating the wheat from the chaff.

Does this prediction market chart look predictive to you?

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Karl Rove will resign from the White House.

Karl Rove resignation - NewsFutures

Emile Servan-Schreiber:

Chris, how exactly do you define “predictive”? If your criterion is “last trading price above 50%”, that would betray a very limited understanding of the nature of both probability and binary markets. That’s a debate you and I have had ever since the first days of chrisfmasse.com a propos the 2004 US presidential election.

To your credit, I don’t think anyone has yet proposed a good way of assessing the “predictiveness” (predictivity?) of a single binary market after the fact. It is a very difficult question. Does anyone here have an answer?

#1. What I see on the NewsFutures chart above is that the probability of Karl Rove resigning went to about 20% previous to the official announcement in the WSJ, indicating that it was more likely than not that he&#8217-d stay at the White House. So, in terms of absolute accuracy, that particular prediction market failed.

#2. Emile-Servan-Schreiber is right that, scientifically, we should assess a series of identical prediction markets, not just one, if we want to determine whether this market-based technology has merit. (And we should assess them comparatively to competitive institutions&#8217- predictions.) Overall, the NewsFutures prediction exchange is indeed predictive.

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Just like the Olympic City prediction markets, the resignation prediction markets are rarely predictive because there aren&#8217-t any reliable advanced indicators to guide the traders. The Olympic committee is secretive and does not grant on merit but on politics (or corruption). As for the embroiled officials (politicians or CEOs), they are secretive too and send false signals (&#8221-Read my lips- I will never resign&#8221-). In both cases, the event derivative traders don&#8217-t have any access to inside information, the only one that counts. So these two types of prediction markets are of inferior quality, which explains why experienced traders don&#8217-t speculate on them. To have a better understanding of the prediction markets, in addition to the very good argument that EJSS makes, I think we should rate the advanced indicators. When they are of poor quality, we should disclose it to our readers and traders.

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NEXT: Jed Christiansen strongly believes that Chris Masse has a bad understanding of probabilities.

Karl Rove resigns abruptly.

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Makes him look like he is guilty of something, then.

Wall Street Journal + Portrait-Interview – The WSJ coverage of his resignation seems biased to me.

New York Times + NYT Editorial
Karl Rove

I haven&#8217-t seen any Karl Rove prediction market at InTrade and NewsFutures. Am I correct?

UPDATE: NewsFutures was floating a Karl Rove event derivative&#8230- which turned out not to be predictive. Resignation prediction markets are rarely predictive, in my experience.

Karl Rove will resign from the White House.

Karl Rove resignation - NewsFutures

UPDATE #2: Emile Servan-Schreiber&#8230-

Chris, how exactly do you define “predictive”? If your criterion is “last trading price above 50%”, that would betray a very limited understanding of the nature of both probability and binary markets. That’s a debate you and I have had ever since the first days of chrisfmasse.com a propos the 2004 US presidential election.

To your credit, I don’t think anyone has yet proposed a good way of assessing the “predictiveness” (predictivity?) of a single binary market after the fact. It is a very difficult question. Does anyone here have an answer?

#1. What I see on the NewsFutures chart above is that the probability of Karl Rove resigning went to about 20% previous to the official announcement in the WSJ, indicating that it was more likely than not that he&#8217-d stay at the White House. So, in terms of absolute accuracy, that particular prediction market failed.

#2. Emile-Servan-Schreiber is right that, scientifically, we should assess a series of identical prediction markets, not just one, if we want to determine whether this market-based technology has merit. (And we should assess them comparatively to competitive institutions&#8217- predictions.) Overall, the NewsFutures prediction exchange is indeed predictive.

NEXT: Does this prediction market chart look predictive to you? + Jed Christiansen strongly believes that Chris Masse has a bad understanding of probabilities.

Prediction market expert Robin Hanson is so right, once again.

No GravatarRobin Hanson about his concept of decision markets:

[&#8230-] A novel approach to policy deserves more attention, including sympathetic discussions, when there is a positive expected payoff from further explorations of it. Such explorations can include math models, lab experiments, and field experiments. A positive payoff comes if such explorations can refine the approach into useful fielded implementations, while a negative payoff comes from wasted effort and harmful implementations. If the cost of experimenting is low and the final positive payoff could be very high, a novel policy approach can be worth exploring even with a very low probability of success.

As I wrote many times here, Robin Hanson&#8217-s concept will have applications if you view it as &#8216-decision-aid markets&#8216- (where conditional prediction markets are used to assess scenarios) &#8212-not &#8216-decision markets&#8217- (where the machine would decide for us).

All this conditional ( :) ) that Robin Hanson can interest people into trading on his complex prediction markets&#8230- That&#8217-s the biggest challenge.

Read the previous blog posts by Chris F. Masse:

  • Terrorism Futures
  • InTrade-TradeSports and BetFair-TradeFair should take a close look at Cantor Fitzgerald’s strategy to gain a share of the $100 billion U.S. gambling industry.
  • The secrecy-seeking Mark Davies is solely to blame for all this mess… but this vibrating BetFair spin doctor has managed to repair the PR damages quite brillantly, it shall be said.
  • A Betting Exchange = A Bookmaker —> !??
  • BetFair’s new bet matching logic + BetFair Malta’s trading on the multiples
  • Dick Cheney, the new Churchill?
  • BetFair Malta’s combo market maker (trading algorithm + human market makers) operating on the multiples

Freakonomics listens to Chris Masse.

No GravatarFollowing our Freakonomics blogroll suggestion, NewsFutures has been added. And they are plugging PopSci PPX on their frontpage, this Saturday.

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NewsFutures on the Freakonomics blogroll

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PPX at Freakonomics

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Happy Face

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Freakonomics: A Rogue Economist Explores the Hidden Side of Everything

Read the previous blog posts by Chris F. Masse:

  • Terrorism Futures
  • InTrade-TradeSports and BetFair-TradeFair should take a close look at Cantor Fitzgerald’s strategy to gain a share of the $100 billion U.S. gambling industry.
  • The secrecy-seeking Mark Davies is solely to blame for all this mess… but this vibrating BetFair spin doctor has managed to repair the PR damages quite brillantly, it shall be said.
  • A Betting Exchange = A Bookmaker —> !??
  • BetFair’s new bet matching logic + BetFair Malta’s trading on the multiples
  • Dick Cheney, the new Churchill?
  • BetFair Malta’s combo market maker (trading algorithm + human market makers) operating on the multiples

CORRUPTION IN TENNIS: Nikolay Davydenko claims that he is innocent.

No GravatarDid we suspect an innocent??

Bet scandal worries Davydenko

RUSSIAN Nikolay Davydenko is worried his reputation will suffer after becoming embroiled in a betting controversy. Davydenko retired with a foot injury in the third set of his match with Argentine Martin Vasallo Arguello at the ATP event in Sopot, Poland, last week, only to find the match was at the centre of a betting scandal. &#8220-It&#8217-s so surprising,&#8221- Davydenko said in Montreal, where he is competing in the Masters Series tournament. &#8220-Like, who can know that I can be injured and (would) retire in my match? &#8220-I am disappointed, because I&#8217-m a top player and people are talking (about it) not only in Russia, in my country, (but) also talking everywhere in the world. &#8220-It is pretty tough for me, I get more pressure now. Mentally, it&#8217-s pretty tough.&#8221- British betting exchange Betfair voided all bets on the match, saying $8.55 million had been placed on it, more than twice the usual amount. Though world No. 5 Davydenko won the first set, Vasallo Arguello &#8212- ranked about 80 places lower &#8212- became the favourite, the opposite of normal practice in such a situation. Betfair voided all bets and notified the governing body of men&#8217-s tennis, the ATP. Davydenko said he was not in contact with anyone regarding the throwing of a match. &#8220-I play 30 tournaments in a year,&#8221- he said. &#8220-Last year I lost 10 tournaments in the first round and also sometimes I&#8217-m injured and I retire from a match.&#8221-
– Reuters

Previous: CORRUPTION IN TENNIS: the Nikolay Davydenko vs. Vassallo Arguello prediction markets at BetFair

More info from The Guardian

NEXT: BetFair has an anti-fraud team whereas InTrade-TradeSports has none.

Read the previous blog posts by Chris F. Masse:

  • Terrorism Futures
  • InTrade-TradeSports and BetFair-TradeFair should take a close look at Cantor Fitzgerald’s strategy to gain a share of the $100 billion U.S. gambling industry.
  • The secrecy-seeking Mark Davies is solely to blame for all this mess… but this vibrating BetFair spin doctor has managed to repair the PR damages quite brillantly, it shall be said.
  • A Betting Exchange = A Bookmaker —> !??
  • BetFair’s new bet matching logic + BetFair Malta’s trading on the multiples
  • Dick Cheney, the new Churchill?
  • BetFair Malta’s combo market maker (trading algorithm + human market makers) operating on the multiples

VIDEO: InTrade CEO John Delaney is interviewed by the naive or misinformed or misinforming Larry Kudlaw of CNBC.

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VIDEO: InTrade CEO John Delaney interviewed by CNBC Larry Kudlaw

The sound output is feeble. I can barely hear them. They should put it on YouTube.

At the end of the segment, Larry Kudlaw asks John Delaney to give him a call the day he is in New York. Larry Kudlaw does not seem to know that John Delaney will not come in New York any time soon, because there is a chance that he gets arrested once his plane touches the US soil.

Are the CNBC viewers aware that the InTrade prediction markets are illegal in America?

U.S. Prediction Markets May Want to Review Court Decision in NYMEX v. Intercontinental Exchange.

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Robin Hanson, in the eyeforpharma podcast linked here earlier, mentions three benefits of prediction markets: they can provide accurate estimates of event probabilities, they provide numerically precise estimates, and they provide continuously updated estimates. While some caveats would emerge in a longer discussion, a well-designed prediction market can provide an accurate, numerically precise, characterization of the current expectation about the underlying event.

Question: If you run a prediction market, who owns the right to use your market output?

Prediction markets in the United States may want to consider a recent court decision in a copyright case, that, depending upon the prediction market’s business model, may impinge on its exclusive use of public prices or other market data produced by its systems. Be warned that I am not a lawyer – I don’t even play one on TV. I’ve just read the court decision, and now I’m sort of ‘thinking out loud’ about what it might mean.

In New York Mercantile Exchange v. IntercontinentalExchange, the New York Mercantile Exchange (NYMEX) sought to enforce a copyright in NYMEX oil and gas settlement prices against the IntercontinentalExchange (ICE). ICE uses NYMEX’s daily settlement prices to clear ICE’s customers’ trades. NYMEX alleged that ICE’s use of NYMEX prices infringes upon NYMEX’s copyright. So far, courts have sided with ICE.

I discuss the reasoning a bit in a long post available at Knowledge Problem: “What is a Price?” The decision itself is available online from the Second District of the U.S. Court of Appeals. I won’t repeat all of my KP discussion here, but rather get right to what I think might be of interest to the prediction market community.

The court ruled against NYMEX’s copyright claim, arguing that NYMEX’s settlement prices could not be disentangled from the idea of the prices.

The court explained that NYMEX’s prices couldn’t be disentangled from the idea of the prices, because (1) prices will be expressed as a number, (2) only a small range of numbers would adequately reflect the underlying market conditions. “Because any settlement price for a particular futures contract would be determined based on the same underlying market facts, any dissension would be exceptionally narrow,” said the court. In such a case, the court concluded, granting a copyright would frustrate access to anyone else who sought to express the same idea.

Because ideas cannot be copyrighted, the court said NYMEX cannot be granted a copyright in its prices.

I don’t think this has any implications for internal company prediction markets, the results of which are probably protected as trade secrets rather than by copyright. But if a prediction market’s business model relies upon a copyright claim in the market’s prices or other market data, such business model may be threatened by the court’s decision in NYMEX v. ICE.