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Oddhead Blog

Musings of a computer scientist and yahoo1,2 about
prediction markets, gambling, and estimating the odds of everything

June 27th, 2007

Betcha's gambit

Betcha is bold. To say the least. The founder Nick Jenkins is either crazy, brilliant, or, like many founders, both. Betcha is a platform for peer to peer betting not unlike gottabet, betfair, or intrade. Except for two (intimately related) details: (1) all debts are on the honor system, and (2) it’s based in Seattle, WA, UIGEA. Betcha makes no bones about it ( no “wink wink” here): they expect users to bet on anything and everything including sports. But because coughing up is not strictly enforced, the site evades the letter of the gambling laws. To engender trust, Betcha verifies its users’ credit cards and tracks their reputation scores, but in the end all payments are voluntary. The site earns money via listing fees.

I can’t help but admire Jenkins and Co., and I hope their gambit succeeds: my heart is with them even if my head is a step behind. (For more legal discussion see Tom Bell and The Boston Globe.)

And as much as I like the concept, I do have to ding Betcha for one of the most convoluted, head-scratching explainers I’ve heard in a long time:

“As an open, honor-based betting platform, Betcha is like an auction site, Las Vegas, a marketplace of ideas, and The Golden Rule — all rolled into one. [1]

[1] “The Golden Rule” refers to the idea that you should do unto others as you’d have them do unto you. It is the fundamental principle behind most of the world’s major religions. And while we aren’t here to push religion on anyone, doing well by others is a principle we’d like to see more of.

Whaa? Four (weak) analogies plus a long-winded footnote? C’mon, Betcha, please KISS.

June 17th, 2007

"You don't post enough"

I‘ve been blogging for about 33 weeks and this is my 31st post. Of those, I’d say roughly 12 are meals1 and 19 are snacks. So I’m clocking in a bit below one post per week, 1.5 meals per month.

If you feel that’s too few, or if you have any other comments or recommendations let me know. I’ll see what I can do. Without satisfied readers I’m just a tree falling in the woods 0.94 times a week.

In the meantime, if you’re craving more, you’re welcome to subscribe to the RSS feed of my shared bookmarks.2,3 There you can track me goofing off — er, conducting vital industry research. My bookmarking pace is closer to daily and I try to annotate each site with a revealing sentence or two.

Here’s an example of what the feed looks like in bloglines.4

1A meal requires some non-trivial amount of preparation on my part and digestion on yours. Hint: this post is not a meal.
2My shared bookmarks also appear in the two My Web Bookmarks widgets on the right hand column of this page.
3Christmas asks why I use My Web instead of del.icio.us. No good reason except that I started using My Web first and I’m happy with it. By now I’ve invested enough effort in My Web that I don’t care to switch. Someday My Web, del.icio.us, and Yahoo! Bookmarks should play nice. UPDATE 2009/02/04: I’ve now switched to delicious.
4Looks like there are two blogliners subscribed to my bookmarks and 44 subscribed to the Oddhead Blog main feed.
June 13th, 2007

Predicting media success

Often, predicting success is being a success. Witness Sequoia Capital or Warren Buffet.

In the media industry (e.g., books, celebs, movies, music, tv, web), predicting success largely boils down to predicting popularity.

Predicting popularity would be wonderfully easy, if it weren’t for one inconvenient truth: people herd. If only people were as fiercely independent as they sometimes claim to be — if everyone decided what they liked independently, without regard to what others said — then polling would be the only technology we would need. A small audience poll would foreshadow popularity with high accuracy.

Alas, such is not the case. No one consumes media in a vacuum. People are persuaded by influencers and influenced by persuaders. People respond in whole or in part to the counsel of critics, peers, viruses, and (yes) advertisers. So, what becomes popular is not simply a matter of what is good. What becomes popular depends on a complex dynamic process of spreading influence that’s hard to track and even harder to predict.

Columbia sociologist (and I’m happy to note future Yahoo) Duncan Watts and his colleagues conducted an artful studydescribed eloquently in the NY Times — asking just how much of media success reflects the true quality of the product, and how much is due to the quirks of social influence. In a series of carefully controlled experiments, the authors tease apart two distinct factors in a song’s ultimate success: (1) the inherent quality of the song, or the degree people like the song if presented it in isolation, and (2) dumb luck, or the extent the song happens by chance to get some of the best early buzz, snowballing it to the top of the charts in a self-fulfilling prophesy. Lo and behold, they found that, while inherent quality does matter, the luck of the draw plays at least as big a role in determining a song’s ultimate success.

If so, Big Media might be forgiven for their notoriously poor record of picking winners. Over and over, BM hoists on us stinkers like Gigli and stale knockoffs like Treasure Hunters. (In prediction lingo, these are false positives.) At the same time, BM snubbed (at least initially) some cultural institutions like Star Wars and Seinfeld. (False negatives.)

So, are media executives making the best of a bad situation, eking out as much signal as possible from an inherently noisy process? Or might some other institution yield forecasts with fewer false-atives?

I think you know where this is going. Prediction markets for media!

Media Predict is exactly that: a new prediction market aimed at forecasting media success. I’d like to congratulate founder Brent Stinski on a spectacular launch done right. Media Predict sprinted out of the gates with a deal with Simon & Schuster’s Touchstone Books and a companion piece in the NY Times, spawning coverage in The Economist and NPR. (Also congrats to Inkling Markets, the “powered by” provider.) More importantly, the website is clean, clear, complete (enough), and ready for launch.

I first met Brent Stinski in 2006 at Collabria’s NYC Prediction Markets Summit and his concept impressed me. Among the flury of recent play money PM startups, Media Predict’s business plan seems one of the most credible. The site taps simultaneously into the wisdom of crowds ethos, the user-generated content explosion, artists’ anti-establishment streak, and the public’s ambivalence toward Big Media. (The latter two factors are epitomized no more vehemently and eloquently than in an essay by Courtney Love, and stoke the fires of sites like Garage Band, Magnatune, Creative Commons, Lulu, Kinooga, and even MySpace, not to mention mashup fever, open source, anti-DRM-ism, etc.)

The New York publishing world is ridiculing Simon & Schuster for ceding its editorial power to the crowd. (In fact, S&S reserves the right to choose any book or none at all.)

Time will tell whether prediction markets can be better than (or at least more cost effective than) traditional media executives. One thing is for certain: one way or another, the power structure in the publishing world is changing rapidly and dramatically (no one sees and explains this better than Tim O’Reilly). My bet is that many artists and consumers will emerge feeling better than ever.

June 7th, 2007

Hacked and splogged and left for …

Yesterday I was hacked.

More specifically, my web hosting service DreamHost was hacked and Oddhead Blog was hijacked. Someone stole a bunch of passwords and methodically replaced index.* files, including the index.php file in my wordpress directory. If you visited this blog yesterday, this is what you saw.

Also yesterday, I noticed that I’ve been splogged. (Splog = spam + blog.)

The strange part about both incidents is that neither attack has an obvious motive. I don’t see any blatant ads or links or any real benefit that the attacker gained. Probably SEO related, but I just don’t see it.

Tough neighborhood, these Internets.

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