
Review of Fortune’s Formula by William Poundstone: The stranger-than-fiction tale of how to invest
What is a better investment objective? Grow as wealthy as possible as quickly as possible, or Maximize expected wealth for a given time period and level of risk The question is at the heart of a fight between computer scientists and economists chronicled beautifully in the book Fortune’s Formula by Pulitzer Prize nominee William Poundstone. [...]
What is (and what good is) a combinatorial prediction market?
What exactly is a combinatorial prediction market? 2010 Update: Several of us at Yahoo! Labs, along with academic researchers, have theorized and written about combinatorial prediction markets for several years, as you’ll see below. But now we’ve gone beyond talking about them and actually built one. So the best way to answer the question is [...]
The right way to implement a multi-outcome prediction market: Linear programming
There are many examples of multi-outcome prediction markets, for example election markets with more than two candidates, or sports championship markets with dozens of teams. What is the best way to implement a multi-outcome prediction market? The simplest way is to effectively ignore the fact that there are multiple outcomes, breaking up the market into [...]
The wisdom of the ProbabilitySports crowd
One of the purest and most fascinating examples of the “wisdom of crowds” in action comes courtesy of a unique online contest called ProbabilitySports run by mathematician Brian Galebach. In the contest, each participant states how likely she thinks it is that a team will win a particular sporting event. For example, one contestant may [...]
Evaluating probabilistic predictions
A number of naysayers [Daily Kos, The Register, The Big Picture, Reason] are discrediting prediction markets, latching onto the fact that markets like TradeSports and NewsFutures failed to call this year’s Democratic takeover of the US Senate. Their critiques reflect a clear misunderstanding of the nature of probabilistic predictions, as many others [Emile, Lance] have [...]
Implementing Hanson's Market Maker
Robin Hanson invented a wonderful market maker well suited for use in prediction market applications with a long name: the logarithmic market scoring rule market maker, which I’ll abbreviate as LMSR. (In fact, Hanson invented an entire class of market scoring rule market makers, but the logarithmic variant seems the most useful.) Hanson’s two papers [...]
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Predictions: Apple bites, Google eats
Happy 5768 everyone!
Time for some predictions.
Probability: 40% ; Willing to stake: $Y20
On the front lines, silver Powerbooks are infiltrating in droves. At techie conventions and computer science conferences, penetration has gone from almost zero to something approaching 1/3 by anecdotal evidence. Wandering about these venues, it’s not terribly uncommon to see a table of three or four who apparently all agree to think different. At Yahoo!, more and more of Jobs’s ministers are simply preaching to the converted. In our Yahoo! Research New York office, for example, laps are topped at least two to one with half-eaten half-glowing apples. Even tech celeb Marc Andreessen has returned to the fold.
But can the Apple bug jump from geeks to grandmas? (Well, my daughters’ grandma is already infected.) I’m guessing so. After all, these same alphadopters led the way to mp3s, Google, Wikipedia, Slashdot, blogs, Firefox, Digg, and Homestar Runner, unlocking remarkable truths along the way like “web search can be monetized”, “Really Simple trumps Really Smart”, and “give up now, Friendster has already won”. (Oops.)
Why is there an Apple renaissance on the desktop? A big reason is that the OS’s natural monopoly is not so natural anymore. Today, the browser is the most important piece of software on your computer, and a viable cross-platform browser (Firefox) exists that almost every web site designs to. A second reason: it turns out that Intel chips are faster and better than PowerPC chips after all, despite decades of vehement Apple fanboy arguments to the contrary. Third, Apple’s built-in iLife software suite really is astonishingly useful and well designed and speaks to the new killer apps of the desktop: pictures, music, video, web, and email. A final reason is, well, Apple is cool, and technology is at least as much about fashion as function, or at least more than geeks would like to admit.
Disagreers can accept my yootleoffer or put your play money where your mouth is on related bets at PPX and Inkling.
(Side note: My take on Apple’s fumbled iPhone price cut: I believe that Apple reacted in fear of the looming gPhone. However, if history is a guide, that fear may be an exaggerated fear of the unknown.)
Probability: 60% ; Willing to stake: $Y20
Google is the king of selling advertisements. So they must believe that advertising is effective, right? Then why doesn’t Google advertise for itself? (I’m not counting recruiting ads.) I’m guessing the reason is that they don’t have to. As a media darling, they get more than enough free press to catalyze their already monstrous word of mouth. I expect that as the glow wears off, as some of the not not evil jabs — deserved or not — start to stick, and as they settle into Big Company mode, you will start to see Google spots on TV and elsewhere.
2007/09/17 Update: Sean McNee noticed that Google is advertising Google Apps to enterprise customers on VentureBeat and the Seattle Times [example ad image]. As a result, let me update my prediction to “Google buys a TV ad for Google.com aimed at mass consumers”.
2007/09/19 Update: Maverick blogger, Maverick owner, Yahoo! benefactor, and uber alphadopter Mark Cuban is dancing with the Steves.
2010 Update: I was right, just 1.5 years too early. In other words, I was wrong.