Prediction market sessions of the OReilly Money-Tech Conference suffer fatally from the absence of the worlds most knowledgeable, most innovative and most trustworthy prediction market expert.

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O&#8217-Reilly Money-Tech Conference – 2008-02-06~07

Predicting the Future of Prediction Markets + Google as Prediction Market

Wharton&#8217-s Justin Wolfers, Google&#8217-s Bo Cowgill, Inkling&#8217-s Adam Siegel, and Sean Park (representing Himself).

No more Robin Hanson. :(

Better to stay home watching a re-play of the December 2006&#8217-s Yahoo! Confab, where Robin Hanson does appear.

Confab Yahoo! on prediction markets – Streaming Video: 100k300k – 2006-12-13

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UPDATE: Robin Hanson comments&#8230-

I was invited, but the date conflicted with a SETI conference I&#8217-ll be speaking at.

Did the BetFair blog use trading data from InTrade to hint at BetFairs accuracy??

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Latest update on the BetFair blog fiasco

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I am alerted today that the BetFair blog has updated its infamous Michigan story with a new compound chart bearing a clearer label. It reads now:

Republican nomination – The race so far

I&#8217-ll have some comments, below the chart, but first a technical note. The new chart posted is a 527-KB BMP image. I have replaced it with a 32-KB JPG image. The BetFair blog is not run professionally. Any web publisher knows that images should be reduced to the max. That&#8217-s the ABC of web publishing. (And to add insult to injury, I noted previously the technical bizarrery that the two professor Leighton Vaughan-Williams&#8217-s stories never appeared in the BetFair blog feed.)

For you information, I have updated all my previous blog posts on the topic with an addendum re-publishing this new chart.

Compound chart - BetFair blog fiasco

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UPDATED ANALYSIS OF THE BETFAIR BLOG FIASCO:

  1. Professor Leighton Vaughan-Williams should have defined what he means by &#8220-betting markets&#8221-, in his story. In the past (see the addendum of that story), prof Leighton Vaughan-Williams used two types of cocktail &#8212-one including all betting markets (traditional bookmaker odds and exchange odds), one including only the BetFair odds. He should publish an addendum to his story defining exactly what he means by &#8220-betting markets&#8221-, this time.
  2. The BetFair blog editor should not have pasted a BetFair compound chart behind the writer&#8217-s back. It&#8217-s a big no-no in editing. Again, another proof (in a long list) that the Betfair blog is not run professionally.
  3. If a chart were to be inserted on top of LVW&#8217-s story (with his consent, we hope), it should have been the expired chart(s) of the Michigan primary, since that&#8217-s the heart of LVW&#8217-s story.
  4. The fact that the BetFair blog editor pasted (behind LVW&#8217-s back) a BetFair chart lead the readers (like Niall Or&#8217-Connor and me) to conclude that professor Leighton Vaughan-Williams means &#8220-the BetFair betting markets&#8221- when he writes about &#8220-the betting markets&#8221-. This is probably not the case, but nobody knows for sure &#8212-see my point #1 for the need of an explainer on this.
  5. Now, if professor Leighton Vaughan-Williams means &#8220-the BetFair betting market&#8221- (I assign a low probability on this scenario), then the story looks bad. The story is bullish on the fact that the Mitt Romney event derivative (for the Michigan primary) was predictive. The election-day chart that I published yesterday evening (and republished below) shows Mitt Romney being the favorite starting at 3:00 PM EST on election day&#8230- Kind of a stretch to claim victory for the BetFair betting markets. I&#8217-m still waiting for BetFair to send me the full, historical chart on the Michigan primary.
  6. BetFair should publish all expired charts &#8212-just like InTrade-TradeSports are doing. See my new page, re-publishing some important expired prediction market charts. That way, any controversy could be settled more quickly.
  7. With all due respect to him, it looks bad on professor Leighton Vaughan-Williams for giving his writings to a corporate blog where the publisher and editor&#8217-s names are not listed anywhere, and whose overall content quality is feeble &#8212-to say the least. Especially since we read the testimony of a furious Betair blog writer, who described the BetFair blog editor as anonymous, incompetent and tyrannical.
  8. Besides Niall O&#8217-Connor&#8217-s critical comments, professor Leighton Vaughan-Williams&#8217-s story on the BetFair blog has attracted a negative comment, calling his argument &#8220-questionable to say the least&#8220-, and asking (as I am doing on this current post) for more data to be published in an addendum.
  9. It looks bad on the BetFair management for publishing completely crappy stories like that. It damages the BetFair brand. I should tell my readers, though, that the BetFair-TradeFair managers (like Michel Robb, Tony Clare, Mark Davies, David Jack, Robin Marks, etc.) are highly professional, efficient, law-abiding, forward-looking, helpful, ethical, polite, and respectful. It is a real pity that the BetFair blog tarnishes BetFair&#8217-s reputation.
  10. Betair should focus on being a prediction market resource for journalists and bloggers. As of today, they still don&#8217-t provide on their website dynamic charts and expired charts.
  11. As I repeated many times on Midas Oracle, prediction market journalism is hard, complex and costly. It can&#8217-t be done by any living organism (hermaphrodite or not :-D ) simply equipped with a computer and an Internet connection.

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As an addendum, I re-publish here the election-day Michigan chart (on the Republican side). As I said, I&#8217-m still waiting for BetFair to send me the full, historical chart. You can see, on this Republican-side chart, Mitt Romney (in red) as the Comeback Kid &#8212-starting at 3:00PM EST on election day (that&#8217-s 8:00 PM, British time, on the chart).

Rep Michigan BetFair

For your information, here&#8217-s what professor Leighton Vaughan-Williams wrote. As I said, an explainer from him is needed to determine whether he means the &#8220-betting markets&#8221- in general (with, or without, BetFair included?) or the &#8220-BetFair betting markets&#8221-.

Professor Leighton Vaughan-Williams on the official BetFair blog:

[…] Those taking the same advice on Tuesday evening [2008-01-15 = date of the Michigan primary] were similarly well rewarded as well-backed Mitt Romney stormed into clear favouritism in the markets and a comfortable victory at the polls. After a blip in the New Hampshire Democratic primary the old certainties – that election favourites tend to win elections – was re-established.

As in the Republican New Hampshire primary, the polls and pundits had declared the race between Senator McCain and Governor Romney as a toss-up while the betting markets pointed to a comfortable victory in both cases for the eventual winners. Once again, in the battle of the polls, pundits and markets, the power of the betting markets to assimilate the collective knowledge and wisdom of the crowd had prevailed. […]

As for the InTrade &#8220-betting markets&#8221-, if that&#8217-s what professor Leighton Vaughan-Williams means (solely, or among others), they show a strong support for Mitt Romney in the last 2 days (which includes election day). Kind of a stretch to claim a victory for the &#8220-betting markets&#8221-. Also, it would be funny to have the (anynomized) InTrade data interpreted on the blog of another exchange (BetFair, a competitor of InTrade-TradeSports) to hint about the alleged strength and accuracy of the BetFair &#8220-betting markets&#8221-. That would be the last drop that breaks the water bucket. Another reason why professor Leighton Vaughan-Williams should come forward to explain what he means by &#8220-betting markets&#8221- in his story. Does he mean the &#8220-InTrade betting markets&#8221-???

(FYI, the Mitt Romney event derivative was expired to 100.)

MI Rep Romney

Psstt&#8230- Sounds like a vertical line is lacking on this chart&#8230- Look at the right end&#8230- Bizarre.

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NEXT: No more anonymized trading data, please. State your source(s).

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The Glorious Incertitude Of Sports

2007-2008 NFC Championship &#8212- Giants vs. Packers &#8212- Source: TradeSports

The Giants event derivative was expired to 100.

NFC Giants

NFC Packers

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

  • Hilarious.
  • Prediction market sessions of the O’Reilly Money-Tech Conference suffer fatally from the absence of the world’s most knowledgeable, most innovative and most trustworthy prediction market expert.
  • Bet2Give Presidential Widget —REDUX
  • Professor Leighton Vaughan-Williams becomes embroilled in BetFair blog controversy.
  • Bet2Give Presidential Widget
  • Did the BetFair blog use trading data from InTrade to hint at BetFair’s accuracy??
  • WordPress powers the MSM’s blogs: NY Times, WSJ, CNN, Fox, Time and People.

Assessing Probabilistic Predictions 101

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Lance Fortnow:

[…] Notice that when we have a surprise victory in a primary, like Clinton in New Hampshire, much of the talk revolves on why the pundits, polls and prediction markets all &#8220-failed.&#8221- Meanwhile in sports when we see a surprise victory, like the New York Giants over Dallas and then again in Green Bay, the focus is on what the Giants did right and the Cowboys and Packers did wrong. Sports fans understand probabilities much better than political junkies—upsets happen occasionally, just as they should.

Previously: Defining Probability in Prediction Markets – by Panos Ipeirotis – 2008

[…] Interestingly enough, such failed predictions are absolutely necessary if we want to take the concept of prediction markets seriously. If the frontrunner in a prediction market was always the winner, then the markets would have been a seriously flawed mechanism. […]

Previously: Can prediction markets be right too often? – by David Pennock – 2006

[…] But this begs another question: didn’t TradeSports call too many states correctly? […] The bottom line is we need more data across many elections to truly test TradeSports’s accuracy and calibration. […] The truth is, I probably just got lucky, and it’s nearly impossible to say whether TradeSports underestimated or overestimated much of anything based on a single election. Such is part of the difficulty of evaluating probabilistic forecasts. […]

Previously: Evaluating probabilistic predictions – by David Pennock – 2006

[…] Their critiques reflect a clear misunderstanding of the nature of probabilistic predictions, as many others have pointed out. Their misunderstanding is perhaps not so surprising. Evaluating probabilistic predictions is a subtle and complex endeavor, and in fact there is no absolute right way to do it. This fact may pose a barrier for the average person to understand and trust (probabilistic) prediction market forecasts. […] In other words, for a predictor to be considered good it must pass the calibration test, but at the same time some very poor or useless predictors may also pass the calibration test. Often a stronger test is needed to truly evaluate the accuracy of probabilistic predictions. […]

The Michigan primary as seen thru the BetFair prediction markets

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Thanks to Michael Robb from BetFair, I can show you the charts of the last day of trading on Michigan&#8217-s election day. You can see, on the Republican chart, Mitt Romney (in red) as the Comeback Kid &#8212-starting at 3:00PM EST (that&#8217-s 8:00 PM, British time, on the chart).

Rep Michigan BetFair

Dem Michigan BetFair

Here is the full, historical, compound chart that I already published:

Michigan BeFair

Is that the Michigan primary, really? Bizarre.There is something I don&#8217-t get. Compare with the InTrade charts.

Fat fingers at BetFair? Did they mess with the legend? Or is this compound chart about another primary? (Which one, then??) Bizarre, bizarre.

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TAKEAWAY ABOUT THE BETFAIR BLOG FIASCO:

  1. It looks bad for the BetFair blog editor, who pasted that compound chart on top of professor Leighton Vaughan-Williams&#8217-s story. One week later, it is still impossible for me to comprehend what that compound chart is supposed to represent, and what it is doing on that page. Big mystery.
  2. It is a shame that the BetFair blog hasn&#8217-t published an update note stating that that compound chart was pasted there by the editor (behind prof LVW&#8217-s back) and explaining what the writer meant by &#8220-betting markets&#8221-. Still a puzzle.
  3. With all due respect to him, it looks bad on professor Leighton Vaughan-Williams for giving his writings to a corporate blog where the publisher and editor&#8217-s names are not listed anywhere, and whose overall content quality is feeble &#8212-to say the least.
  4. And, by the way, how come professor Leighton Vaughan-Williams&#8217-s posts are always excluded from the general BetFair blog feed? Is that a technical glitch? Or is it by design? Bizarre.
  5. The BetFair blog is not a serious publication. Period. I wonder whether I should link again to it, in the future. Probably not.

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UPDATE: The BetFair blog has added a new label on the infamous compound chart&#8230-

Compound chart - BetFair blog fiasco

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NEXT: Did the BetFair blog use trading data from InTrade to hint at BetFair&#8217-s accuracy??

The Formula for Internet Site Success

Jakob Nielsen:

The formula for website success is:

  • B = V ? C ? L

Where:

  • B = amount of business done by the site-
  • V = unique visitors coming to the site-
  • C = conversion rate (the percentage of visitors who become customers)- (Note that the concept of conversion applies not only to e-commerce sites, but to any site where there is something you want users to do.)
  • L = loyalty rate (the degree to which customers return to conduct repeat business).

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

  • Hilarious.
  • Prediction market sessions of the O’Reilly Money-Tech Conference suffer fatally from the absence of the world’s most knowledgeable, most innovative and most trustworthy prediction market expert.
  • Bet2Give Presidential Widget —REDUX
  • Professor Leighton Vaughan-Williams becomes embroilled in BetFair blog controversy.
  • Bet2Give Presidential Widget
  • Did the BetFair blog use trading data from InTrade to hint at BetFair’s accuracy??
  • WordPress powers the MSM’s blogs: NY Times, WSJ, CNN, Fox, Time and People.

Democratic and Republican caucuses in Nevada + Republican primary in South Carolina

Here are the event derivative charts of expired InTrade contracts.

[Psstt&#8230- I have high hopes about being able to publish the charts of expired BetFair contracts, too, soon. :-D ]

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Democratic and Republican caucuses in Nevada

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Democratic caucus in Nevada (the Hillary Clinton event derivative was expired at 100):

Dem Nevada Clinton

Dem Nevada Obama

Dem Nevada Edwards

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Republican caucus in Nevada (the Mitt Romney event derivative was expired at 100):

Rep Nevada Romney

Rep Nevada McCain

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Republican primary in South Carolina

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Republican primary in South Carolina (the John McCain event derivative was expired to 100):

Rep SC McCain

&#8220-Field&#8221- = Mike Husckabee

Rep SC Field

Rep SC Romney

Rep SC Thompson-F

Source: InTrade

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

  • Super Bowl XLII
  • The Glorious Incertitude Of Sports
  • TradeSports Cost Of Transaction
  • The prediction market industry needs people who have balls.
  • Is it good to have a prediction market melting pot of academics and businesses?
  • Is it time to buy some Michael Bloomberg event derivatives?
  • Professor Leighton Vaughan-Williams excluded from the BetFair blog feed

NIALL OCONNOR ATTACKS THE INTELLECTUAL HONESTY OF THE PREDICTION MARKET RESEARCHERS.

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Niall O&#8217-Connor (who maybe ate grilled snake for his Sunday morning breakfast :-D ):

The current trend to promote almost illiquid betting markets as being predictive, looks set to backfire bigstyle. In a nutshell, to date the so called &#8220-prediction markets&#8221- have called it wrong in New Hampshire (Democrats), Michigan (Republicans) and South Carolina (Republicans). Prediction market advocates, in many instances weighed down with the baggage of being too closely associated with the prediction market industry, are guilty of churning out subjective, biased research, in an attempt to promote the industry and lure traders into the markets. Unscientific comparisons are continually made between prediction markets and polls, and, moreover, markets are deemed to have been predictive, when all they have actually done is [respond] to the unwinding of the vote count. The publication of such utter garbage does nothing but a big disservice to the fledgling prediction market industry. Moreover, it is unfortunate that prediction market industry watchers, who purport to be independent and subjective, indulge the writers of such nonsense, in the process revealing themselves to be nothing more than placemen and sycophants of unquestioning loyalty. […]

Names, please, Niall.

  1. Who are those corrupted &#8220-prediction market advocates&#8221-?
  2. Who are those rotten &#8220-prediction market industry watchers&#8221-?

By the way&#8230- I will have the charts of the expired BetFair contracts, soon, I hope- and I will publish them here for all to see.

Midas Oracle .ORG » Blog Archive » The prediction market industry needs people who have balls.

Squirrel

Previously: Squirrel attack prediction market, anyone??

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

  • Super Bowl XLII
  • The Glorious Incertitude Of Sports
  • TradeSports Cost Of Transaction
  • Is it good to have a prediction market melting pot of academics and businesses?
  • Is it time to buy some Michael Bloomberg event derivatives?
  • Professor Leighton Vaughan-Williams excluded from the BetFair blog feed
  • NIALL O’CONNOR ATTACKS THE INTELLECTUAL HONESTY OF THE PREDICTION MARKET RESEARCHERS.