Category Archives: writing

An (old) essay on new media

I wrote an essay on “new media” for an entrepreneur friend in February 2004. (My friend launched a new air sports league and .tv channel, hence the emphasis on sports near the end.) I decided to take my own advice and relinquish control. Here it is, with minor re-touches marked and links added. Most of the points remain applicable in 2009. If anything, I’m a little disappointed that, five years later, we haven’t made more progress toward “everything over IP, everywhere”. Sure, Hulu is nice but I still pay obscene amounts to send text messages and watch The Terminator over proprietary pipes.


‘Digital’ means everything and nothing at once. And that’s the point. Music is digital. Movies are digital. Books, news, commentary, communication, ideas, and sexuality are all digital. Even money is digital. Characterizing something as digital conveys no information precisely because most anything can and will be digital. From television to telecom, from Hollywood to Madison Avenue, the transition to digital will take down giants and crown new kings.

Why does digital matter to media? There are three reasons: convergence, copying, and control.

Convergence. Because all content and communication are digital, the delivery mechanism no longer matters. You don’t need a TV to watch television programs. You don’t need a phone to talk to a friend. You don’t need a fax to get faxes or a CD player to hear CDs. All you need is a machine that understands digital and a communications system that carries digital. Today’s best devices for understanding and communicating digital are, respectively, the computer and the Internet. That’s all you need. Tomorrow’s TVs may look and feel and act much like today’s TVs, but rest assured they will be computers in disguise, and they will be connected to the Internet. There’s no inherent reason why Friends should be watched on Thursdays at 8pm on NBC interspersed with commercials. It can, should, and will be watched at the viewer’s leisure, uninterrupted. There is no reason that the biggest “television” phenomenon of 2008 won’t be seen on Yahoo!, for example. [In hindsight, this example was wildly optimistic — and YouTube/2020 now seems more likely — though in 2008 viewers flocked to Yahoo! for the Olympics, the election, and short-form video.] Notions of channels and schedules will be virtually meaningless. We already see this happening with DVRs like TiVo, and the blurring will continue with computer/TVs providing access to movies, music, your photo album, weather, news, and the Web. Cable, phone, and satellite companies are providing Internet access. Internet portals and Internet providers are delivering phone calls, movies, TV shows, [radio,] and email all over the same wires [and wavelengths].

There is now, and will continue to be, fierce opposition to convergence from established players. Cable companies objected vehemently to allowing local stations onto satellite TV. Broadcast networks fear TiVo. The Recording Industry Association of America (RIAA) is in a state of panic panicked, suing everyone in sight, including their own customers. Lobbying and lawmaking will slow convergence, but the changes are all but inevitable. While the RIAA and groups like it scramble to rearrange deck chairs on the Titanic, opportunists are busy building entirely new ships.

Copying and Control. Once a piece of media content—whether it is a song, a movie, or an article in a scientific journal—is converted into digital ones and zeros, it can be copied (perfectly) and distributed at almost zero cost. Given the decentralized nature of the Internet and the vagaries of international law, once a piece of content escapes there is almost no reining it in. Current media business models rely on tight controls. Control of scheduling. Control of delivery and distribution. Control of store shelves. Control of artists and content creators. Control of consumers’ attention. But digital content resists nearly all attempts at control. Software and hardware copy-protection schemes are hacked or circumvented. High-quality analog copies of digital content are simply impossible to stop. Artists can self-publish their work and distribute it worldwide. Consumers can suddenly find content that’s not broadcast at primetime or placed at eye level in the store.

Note that digital does not mean the end of marketing, influence, and celebrity. Capturing the public’s interest and attention are still necessary. A self-published song does not magically attract listeners. Talent, personality, advertising, branding, and social forces will still play large roles in driving media success in the digital era. But convergence means that any number of players can provide the marketing and distribution needed, breaking current oligopolies, and almost certainly benefiting artists and consumers alike. Successful business models for the next generation of media companies must address the loss of control on all three fronts: content, artists, and consumers. Content will be copied. Artists will self-publish and shop for marketing services. Consumers will view what they want when they want to.

The New Business of New Media

Media is certainly not dead. Certain aspects will probably never change. People yearn for good stories, for entertainment, for escapism, for information. People flock to charisma and celebrity. People communicate insatiably. From a business perspective, there is undeniable value in having and holding the attention of a number of people.

Although the face of tomorrow’s media is impossible to predict, certain sectors are poised to benefit enormously from the emergence of digital, or are at least less susceptible to its problems.

Here are some winning strategies:

Embrace convergence. Convergence offers almost limitless flexibility in delivering and customizing content. Sports fans can watch an event from any camera, watch real-time animated renderings allowing absolute viewer control, interact with video games with parallel story lines, or chat with other fans. News broadcasts can allow viewers to examine any topic to any depth. Toys can react to signals embedded in Saturday morning cartoons. Consumers can create customized “channels” delivering content tailored to their needs and whims. Companies that capture the voicexyz-over-Internet market will be big winners in the new-media world.

Embrace copying. There is no doubt that a large part of the business value of media lies in its ability to influence (usually via advertising), which in turn benefits most from widespread adoption. For a business built on influence, free and unfettered copying should be encouraged rather than litigated. Not everything has to be free. In some cases, people will pay to get content faster. Live events are the most obvious situation where copies are less valuable than originals. People may pay for live feeds of sporting events, for example. In many cases, people will pay for higher-quality content, for example higher-resolution movies or better-sounding music. For example, with a good digital rights management system, pristine digital copies might be sold for a small premium, even while slightly tarnished analog copies (which are essentially unstoppable) proliferate. People may pay a premium for convenience, anonymity, quality assurance, or to obtain versions stripped of commercial messages. Clearly delineated commercials are a problem in a world where time shifting and copying are prevalent: people will simply skip commercials. So commercial messages must be embedded directly in the content, using product placement or endorsements.

Real-time gambling offers a natural source of revenue for sporting events and other live events. Real-time gambling is spreading quickly throughout the UK and Europe, where it is well regulated and taxed. Real-time gambling offers a situation where live feeds are essential, and copies less damaging. In fact, wide dissemination of copies could be valuable as a marketing device to drive interest in the live events and concurrent gambling services.

Data-driven Dukie

“The No-Stats All-Star” is an entertaining, fascinating, and — warning — extremely long article by Michael Lewis in the New York Times Magazine on Shane Battier, a National Basketball Association player and Duke alumni whose intellectual and data-driven play fits perfectly into the Houston Rockets’s new emphasis on statistical modeling.

For Battier, every action is a numbers game, an attempt to maximize the probability of a good outcome. Any single outcome, good or bad, cannot be judged in isolation, as much as human nature desires it. Actions and outcomes have to be evaluated in aggregate.

Michael Lewis is a fantastic writer. Battier is an impressive player and an impressive person. Houston is not the first and certainly not the last sports team to turn to data as the arbiter of truth. This approach is destined to spread throughout industry and life, mostly because it’s right. (Yes, even for choosing shades of blue.)

Pricing the cloud, circa 1968

This article (membership required) is remarkable mostly for the fact that it was published in 1968. (Hat tip to Jonathan Smith.) It describes an experiment in creating an artificial economy to buy and sell computer time in the cloud, an idea that has been kicked around a number of times in the intervening decades but never quite took hold, until recently if you count literal pricing in dollars in EC2. The concept of buying time on your company’s compute cluster in a pseudo currency may come back into vogue as such installations become commonplace and over demanded.

Also check out the hand drawn figure and the advertisement at the end:


COBOL extensions to handle  data bases

A tale of two insurance/prediction markets

Chris Masse has the scoop (once again proving how indispensable he is) on a new real-money prediction market coming soon, one of the few with the CTFC’s blessing to operate in the United States: The American Civics Exchange. Their tag line focuses on the insurance angle: “Your greatest financial risks may be hiding in plain sight — market-based solutions for political risk management”.

Meanwhile, Carlos Saieh, a sharp student in Justin Wolfers’ class where I just gave a guest lecture, found an apparent pricing bug in another insurance-oriented prediction market, WeatherBill (proving how indispensable attentive students with laptops and wifi are):



WeatherBill pricing mistake


Let’s see: for a mere $770, you can purchase a contract that pays out at most $700 in the absolute best case, possibly much less. Hmm, let me think about that one.

Finally, a financial contract that makes mortgage-backed securities look good.

Remembering greasemonkey

As part of an internal hack day I’ve been diving back into greasemonkey, and remembering how much the monkey mentality changes the way you think about the web. Greasemonkey seems to have lost some mindshare momentum, probably due to a natural hype/fatigue cycle, the still minority share of Firefox browsers, and the very real “laziness barrier” that keeps the vast majority of people from installing new stuff.

In any case, rediscovering how easy it is to muck with any and every website, usually for fun, and sometimes to truly improve usability or productivity, brings back the giddy avalanche of ideas of ways to “reclaim the web”.

For example, it wouldn’t be terribly hard to add a bit of xmlhttpRequest to WebVocab to create a shortcut that, with one click, inserts a custom signature into any comment you leave on any web page, at the same time notifying your favorite social feed service (e.g., friendfeed, Facebook, Yahoo! updates) and/or your own server of the comment location and content. Your friends see where and what you’re commenting, and you get a searchable archive of all the breadcrumbs you leave around the web. It’s like a comment aggregator service that users control rather than publishers, and thus that works on any website, putting the user back into user-generated content.

The long tail of science: Good, bad, or ugly?

(First in a series of “random thoughts on science”)

A mind boggling number of academic research conferences and workshops take place every year. Each fills a thick proceedings with publications, some containing hundreds of papers. High-profile conferences can attract five times that many submissions, often of low average quality. Smaller venues can seem absurdly specialized (unless it happens to be your specialty). Every year, new venues emerge. Once established, rarely do they “retire” (there is still an ACM Special Interest Group on the Ada programming language, in addition to a SIG on programming languages). It’s impossible for all or even most of the papers published in a given year to be impactful. Most of them, including plenty of my own, will never be cited or even read by more than the authors and reviewers.

No one can deny that incredible breakthroughs emerge from the scientific process — from Einstein to Shannon to Turing to von Neumann — but scientific output seems to have a (very) long tail.

Is this a good thing, a bad thing, or just a thing?

Is the tail…

Good?
Is the tail actually crucial to the scientific process? Are some breakthroughs the result of ideas that percolate through long chains — person to person, paper to paper — from the bottom up? Is science less dwarfs standing on the shoulders of giants than giants standing on the shoulders of dwarfs? I published a fairly straightforward paper that applies results in social choice theory to collaborative filtering. Then a smarter scientist wrote a better paper on a more widely applicable subject, apparently partially inspired by our approach. Could such virtuous chains actually lead, eventually, to the truly revolutionary discoveries? Is the tail wagging the dog?
Bad?
Are the papers in the tail a waste of time, energy, and taxpayer dollars? Do they have virtually no impact, at least compared to their cost? Should we try hard to find objective measures that identify good science and good scientists and target our funding to them, starving out the rest?
Ugly?
Is the tail simply a messy but necessary byproduct (I can’t resist: a “messessity”) of the scientific process? Under this scenario, breakthroughs are fundamentally rare and unpredictable hits among an enormous sea of misses. To get more and better breakthroughs, we need more people trying and mostly failing — more monkeys at typewriters trying to bang out Shakespeare. Every social system, indeed almost every natural system, has a long tail. Maybe it’s simply unavoidable, even if it isn’t pretty. Was the dog simply born with its (long and scraggly) tail attached?

Jamesburg, New Jersey: Per-capita bank branch capital of the world

By 2007, Jamesburg, New Jersey, a town of 6,000, had four walk-in bank branches — Bank of America, Constitution, PNC, and Sovereign — complete with bricks, mortar, tellers, and aura of trust along its quaint “Main Street” downtown corridor.

Apparently that wasn’t enough.

In 2008, Chase Bank and TD Bank broke ground. Thousands of motorists now pass them every weekday morning on their way to the New Jersey Turnpike and again every evening on their way home. If I had a hand in it, I might insert a drive-thru restaurant, of which there are currently none, into the path of commuters. But I don’t and the Invisible Hand chose otherwise: to erect two more banks for a total of six banks within one square mile, or one for every 1000 residents. (To be fair, the surrounding township has 30,000 people, but probably a dozen more banks.)


Six walk-in bank branches within one square mile in Jamesburg, NJ USA

We live in an era of electronic banking when ATMs dispensing paper money seems horribly analog. Walking through a door under a roof of a building representing the shelter for my money to talk to a person is, I’ll admit, occasionally reassuring, and even less occasionally useful. But everyone must admit that this is an activity growing rarer by the day.

So why are bank branches staging a last stand in this small New Jersey town?

Probably because the surrounding community, Monroe Township, is home to several retirement communities whose residents select banks based on the accessibility of branches. (They also buy newspapers and watch ABC’s World News with Charles Gibson at 6:30 and hence commercials for prescription drugs.)

Several new shopping centers have gone up in the area and each seems to have the same collection of stores, anchored by a drug store and a bank.

The data may say that these are profitable investments, but for how long?

Jamesburg would seem to have great potential as a consumer destination: a walkable urban strip in the center of a relatively affluent suburban township, on the bank of a gorgeous lake adjacent to a 675 acre park. Yet it has a few mom and pop shops, one Subway, one Dunkin’ Donuts, and one gas station. And six banks. Go figure.

KISS prediction markets (lingo) goodbye

The lingo of prediction markets varies widely.

The same “thing” might be called an information market, idea future, virtual stock market, financial market, securities market, event market, binary option, betting exchange, bookmaker, market in uncertainty, or gambling/wagering. Only recently has the name prediction market emerged with some sort of consensus.

To place a prediction in the market, you might do any of the following:

[bid/buy/bet on/back] the “yes” [security/contract/coupon/future/outcome] at [price/probability/fractional odds/decimal odds/moneyline] X

Predicting something won’t happen gets even uglier. You might:

[ask/short sell yes/buy no/buy bundle & sell yes/bet against/lay] at [price/probability/fractional odds/decimal odds/moneyline] X

For example, InklingMarkets uses the “short sell yes” variation:

InklingMarkets' explanation of short selling

So what is the clearest language for prediction markets?

A good guiding principle in this regard is KISS: Keep It Simple Stupid. Or, in more grandiose terms, Occam’s razor. All else being equal, one should choose the simplest and most straightforward option.

By this measure, it seems that betting lingo wins hands down. It’s vastly simpler to say “I bet $10 that Obama will lose” than to say “I short sell three shares of Obama at price 67”. The former is more direct and intuitive. Almost everyone understands what it means to place a bet, including subtleties like risk, uncertainty, and competition. On the other hand, even avid stock traders get tripped up by the concept of selling short.

Every prediction can be stated as: “I bet that outcome O will/won’t happen; I’ll risk $X to win $Y”. Betting for things and against things is symmetric. There is no need to short sell, buy bundles first, etc.

Yet most prediction markets don’t KISS, going with financial terminology instead, reflected even in the name itself. Why? I believe it’s because of the legal and social stigma attached to gambling. It’s a shame that such considerations force vendors to make the technology harder to understand and more complicated to use.

A world without roads and wires

Take the Earth and subtract just two things: roads and wires. How much more pleasant a place would it be? No asphalt arteries carving a dense grid throughout the world’s grass and trees devouring tax dollars. No endless rows of poles and towers draped with miles and miles of wires coming between our eyes and our skies. Imagine the makeover the space around and under your desk would receive!

Actually, the vision may not be as far fetched as it seems: we just need personal flying vehicles and wireless power & communications.

Challenge: Derive the Kelly criteria for play money

The Kelly criteria is a money management strategy for gamblers and investors. The strategy says that, when faced with a positive-expectation bet, you should invest a fraction of your budget that is proportional to your expected profit. The more your expect to gain, the more you should risk, but you never risk your entire budget.

The Kelly strategy is optimal in several senses: (1) it minimizes your “doubling time”, or the time it takes to go from having X dollars to having 2X dollars; (2) it minimizes the time it takes to achieve any given level of wealth; (3) it maximizes your long-run wealth.

(It turns out that the Kelly strategy is equivalent to maximizing a logarithmic utility function.)

A key reason the Kelly strategy is optimal is that it is very careful to never take you completely bankrupt: you spend only a fraction of your money, always reserving a bit for tomorrow, however small. This is sound advice when dealing with real money. (Aside: this all assumes you have a strict budget cap, which is not entirely realistic: you can almost always borrow at least some amount, even in today’s economy.)

But what about maximizing your virtual “wealth” inside a play-money game like NewsFutures, InklingMarkets, HubDub, or MediaPredict? The problem is not quite the same, precisely because you cannot really go bankrupt. Almost every game offers an option to “recharge” your account if you go bust. Even if the option is not explicit, you can always just abandon your account and start a new one with a fresh initial bankroll they typically give to new players.

So what is the Kelly criteria for play money? What is the optimal strategy that minimizes your doubling time when you’re always allowed to recharge back to a fixed starting value any time you go bankrupt? The answer is not obvious to me, so I’m crowdsourcing the problem: can readers derive the right rule?

My only conjecture is that it might become optimal to go “all in” on every single bet. But I’m not sure. [Update: I’ve convinced myself this is not optimal. Imagine two sequential bets, the first with minuscule expected profit and the second with huge expected profit: surely you should not go “all in” on the first.]

Note that finding the optimal solution may not just help you win more bragging rights in online games. There is a fascinating sports betting site called CentSports that gives everyone ten real cents to start with. If you can turn that ten cents into twenty dollars, they’ll cut you a check. Moreover, if you ever go to zero, they’ll restore you right back to ten cents. In other words, the system works just like play-money games except the potential for profit is real. So another way to phrase the challenge question is: what strategy in CentSports minimizes the time it takes you to go from ten cents to twenty dollars?