Communicating with code

Saturday, January 31st, 2009

It’s accepted within Web 2.0 circles that rapid prototyping followed by rapid iteration — experimentation — beats thorough planning. Paul Buchheit, formerly of Google, calls this communicating with code:

We did a lot of things wrong during the 2.5 years of pre-launch Gmail development, but one thing we did very right was to always have live code. The first version of Gmail was literally written in a day. It wasn’t very impressive — all I did was take the Google Groups (Usenet search) code (my previous project) and stuff my email into it — but it was live and people could use it (to search my mail…). From that day until launch, every new feature went live immediately, and most new ideas were implemented as soon as possible. This resulted in a lot of churn — we re-wrote the frontend about six times and the backend three times by launch — but it meant that we had direct experience with all of the features. A lot of features seemed like great ideas, until we tried them. Other things seemed like they would be big problems or very confusing, but once they were in we forgot all about the theoretical problems.

The great thing about this process was that I didn’t need to sell anyone on my ideas. I would just write the code, release the feature, and watch the response. Usually, everyone (including me) would end up hating whatever it was (especially my ideas), but we always learned something from the experience, and we were able to quickly move on to other ideas.

The most dramatic example of this process was the creation of content targeted ads (now known as “AdSense”, or maybe “AdSense for Content”). The idea of targeting our keyword based ads to arbitrary content on the web had been floating around the company for a long time — it was “obvious”. However, it was also “obviously bad”. Most people believed that it would require some kind of fancy artificial intelligence to understand the content well enough to target ads, and even if we had that, nobody would click on the ads. I thought they were probably right.

However, we needed a way for Gmail to make money, and Sanjeev Singh kept talking about using relevant ads, even though it was obviously a “bad idea”. I remained skeptical, but thought that it might be a fun experiment, so I connected to that ads database (I assure you, random engineers can no longer do this!), copied out all of the ads+keywords, and did a little bit of sorting and filtering with some unix shell commands. I then hacked up the “adult content” classifier that Matt Cutts and I had written for safe-search, linked that into the Gmail prototype, and then loaded the ads data into the classifier. My change to the classifier (which completely broke its original functionality, but this was a separate code branch) changed it from classifying pages as “adult”, to classifying them according to which ad was most relevant. The resulting ad was then displayed in a little box on our Gmail prototype ui. The code was rather ugly and hackish, but more importantly, it only took a few hours to write!

I then released the feature on our unsuspecting userbase of about 100 Googlers, and then went home and went to sleep. The response when I returned the next day was not what I would classify as “positive”. Someone may have used the word “blasphemous”. I liked the ads though — they were amusing and often relevant. An email from someone looking for their lost sunglasses got an ad for new sunglasses. The lunch menu had an ad for balsamic vinegar.

More importantly, I wasn’t the only one who found the ads surprisingly relevant. Suddenly, content targeted ads switched from being a lowest-priority project (unstaffed, will not do) to being a top priority project, an extremely talented team was formed to build the project, and within maybe six months a live beta was launched. Google’s content targeted ads are now a big business with billions of dollars in revenue (I think).

Of course none of the code from my prototype ever made it near the real product (thankfully), but that code did something that fancy arguments couldn’t do (at least not my fancy arguments), it showed that the idea and product had real potential.

How low can homes go? Try $0

Sunday, January 25th, 2009

How low can homes go? Try $0 — in Detroit:

Detroit real estate agent Ian Mason has sold homes for $1.

When I asked him to check the listings for other properties at that price, he found four more.

He then took me to a white, clapboard-sided house that his company, Bearing Group Real Estate Brokerage, has listed.

“If you want this house, you can have it,” he said. “I’ll just give it to you.”

“I’m not allowed to accept anything of value from a source,” I told him.

“Who said I was giving you anything of value?” he replied.

The median price of a home sold in Detroit last month was $7,500:

Mason counted 1,228 homes listed for under $10,000, 209 of which were under $1,000.

“Many of them are in pretty decent shape,” he said, “and some can be lived in.”
[...]
In the neighborhood where Mason offered me a $0 house (not including closing costs, escrow, taxes, etc.), almost every dwelling was in shambles. Boarded windows. Abandoned cars. Collapsed porches. Ubiquitous graffiti.

The home across the street was charred, likely by arsonists.

We drove through snow nobody would ever plow.

“What’s this place like in the summer?” I asked.

“You wouldn’t be driving through here,” Mason said. “There’s a small chance you’d field a bullet.”

Police stopped patrolling these neighborhoods years ago.

“So if I buy a $1 house, I’m going to need to hire some security?”

“Not necessarily,” Mason said. “Some of these neighborhoods are so desolate, crime isn’t much of a concern.”

“Really?”

“I could take you to 30 square blocks of urban prairie.”

The Motor City had more residents in the 1930s than it does today. About a million people have left since the 1950s, leaving less than a million today.

Enormous buildings sit vacant downtown, their hulking shadows darkening city streets at night. Unemployment is tallied in double digits. And this is how it is before Chrysler, General Motors, Ford and associated companies possibly file for bankruptcy this year.

Michael Lewis on the Death of Journalism

Saturday, January 24th, 2009

In a recent Atlantic interview, Michael Lewis answered a question about the dying magazine business:

Well my personal experience has been very nice. The market for me has only gotten better!
[...]
Well it makes it a little hard for me to prophesize doom. And I hate spinning theories to which I’m an exception. So my sense is, there’ll always be a hunger for long-form journalism, and that it’s just a question of how it’s packaged. And that people will always figure out how to make it sort of viable. It’s never going to be a hugely profitable business: it’s more like the movie business or the car business in that there are all sorts of good non-economic reasons to be involved in it. The economic returns will always probably be driven down by too many people wanting to be in it.

But I don’t feel gloomy about the magazine business at all.
[...]
It’s always inherently in a state of turmoil of one form or another. But let me put it this way: when I write a long magazine piece that gets attention I feel like it’s more widely read now than it was ten years ago, by a long way. In fact, it feels excessively well read. Twenty years ago I might get a couple of notes in the mail and I’d hear about it maybe at a dinner party. And that would be the end of it, and it would go away very quickly. Ten years ago it would get passed around by email, and it would seem to have a life to me that would go on a little longer. Now the blogosphere picks it up and it becomes almost like a book: it lives for months. I’m getting responses to it for months. And I don’t think the journalism has gotten any better. It’s just the environment you publish it in is more able to rapidly get it to the people who are or might be interested in it. They’re more likely to see it. So the demand side of things is not a problem. People really want to read this stuff. The question is how you monetize that.

And there are still magazines that make plenty of money. Vanity Fair makes plenty of money. Huge sums of money. The New York Times Magazine makes plenty of money, it’s just buried inside this institution that doesn’t.

Michael Lewis on Credit Default Swaps

Friday, January 23rd, 2009

The Atlantic has a new business channel, which features an interview with Michael Lewis — author of Liar’s Poker, Moneyball, and The Blind Side, and editor of the recent Panic — in which he attacks certain financial innovations as tools for obfuscation:

Well, there’s probably no innovation that’s entirely useless. But there are some innovations whose use value is so trivial — except as a tool for disguising risk and enabling reckless innovation. A really good example of this is credit default swaps, which everyone has seen mentioned. Credit default swaps are not that complicated on the surface. On the surface they’re just bond insurance. If you buy a credit default swap from me, you’re buying insurance against a municipal bond or a corporate bond or a subprime bond or a treasury bond going bust.

The difference, I guess, being that a third party can buy the swap.

That’s right. And that the value of the insurance can be many times the value of the original bond. So let’s say there’s some really dodgy subprime bond out that everybody knows is going to go bust but that the market is still pretending is a triple-A bond. You might have insurance that is 100 times the value of the actual bond. So lets say there’s a million dollars in a bond out there. You might have 100 million dollars in insurance contracts on it. So it’s obviously not insurance at that point. It’s something else. It’s a way to bet on the bond. And it’s a very simple and clean way to bet on the bond.

And one of the really weird things about this instrument is — well, back away from it and think about it for a second. Lets take a bond, let’s say a General Electric bond. A General Electric bond trades at some spread over treasuries. So let’s say you get, I dunno, in normal times, 75 basis points over treasuries, or 100 basis points over Treasuries, over the equivalent maturity in Treasury bonds. So you get paid more investing in GE. And what does that represent? You get paid more because you’re taking the risk that GE is going welsh on its debts. That the GE bond is going to default. So the bond market is already pricing the risk of owning General Electric bonds. So then these credit default swaps come along. Someone will sell you a credit default swap — what enables the market is that it’s cheaper than that 75 basis point spread — and he’s saying that in doing this he knows GE is less likely default than the bond market believes.

Why does he know that? Well, he doesn’t know that. What really happened was that traders on Wall Street have the risk on their books measured by their bosses, by an abstruse formula called Value at Risk. And if you’re a trader on Wall Street you will be paid more if your VaR is lower — if you are supposedly taking less risk for any given level of profit that you generate. The firm will reward you for that.

Well, one way to lower your Value at Risk as a trader is to sell a lot of credit default insurance because the VaR formula doesn’t count it as risk. Because it’s so unlikely to happen, the formula doesn’t grab it. The formula thinks you’re doing business that is essentially riskless. And the formula is screwed up. So this encouraged traders to sell lots and lots of default insurance because, while they get a small premium for it, it doesn’t matter to them because the firm is essentially saying, “Do it, because we’re not going to regard this risk you’re taking as actual risk.”

It’s insane. That market is huge as a result. But if people actually had to have the capital, like a real insurer, to back up the contracts they’re riding, the market would shrink by — who knows? Who knows what would be left of it?

Is Obama a type P?

Thursday, January 22nd, 2009

Is Obama a type P? Arnold Kling thinks so — but I found his discussion of Judging (J) versus Perceiving (P) more interesting than any characterization of our newly anointed savior:

This Myers-Briggs site explains type P as follows:
A Judging (J) style approaches the outside world with a plan and is oriented towards organizing one’s surroundings, being prepared, making decisions and reaching closure and completion.

A Perceiving (P) style takes the outside world as it comes and is adopting and adapting, flexible, open-ended and receptive to new opportunities and changing game plans.

There is a classic joke about a rabbi who is asked to resolve a dispute. The first disputant makes his case, and the rabbi says, “You’re right.” The other disputant makes his case, and the rabbi says, “You’re right.” A member of the audience complains, “They can’t both be right.” After a pause, the rabbi says, “You’re right, too!”

The rabbi is classic type P.

In Adam Michaelson’s memoir of his days as a marketing manager for Countrywide, he describes one experience in which he and another manager were assigned to be co-leaders of a project. The first time that they get together, it becomes clear that each had been led to expect broad authority, with the result that their conceptions of their jobs overlap and contradict with one another. It is reasonable to presume that the boss who set them up in this was was a type P. It seems to me that President Obama is creating potential issues of this type with so many heavyweight appointees, particularly in domestic policy.

Suppose that you have a project that is in trouble. If the project leader is a type J, she will call a meeting to whip people into shape. She will settle questions, re-affirm deadlines, and get people to commit to tasks. The team members who are J’s will leave the meeting relieved and energized. The team members who are P’s will leave the meeting feeling railroaded and bullied.

If the project leader is a type P (not as common for project managers), she will call a meeting to gather information. She will find out what everyone’s concerns are and compile a list of issues. She will announce her intentions to take the input from the meeting and, working with other senior leaders, put together a revised work plan. The team members who are P’s will feel relieved and reassured. The team members who are J’s will feel demoralized and directionless.

For a J, the most dysfunctional way to run a meeting is to re-open for discussion late in the meeting an issue that was supposedly settled at the very beginning. For a P, the most dysfunctional way to run a meeting is to make decisions before all aspects of the problem have been thoroughly considered.

The strength of a J manager is clarity. Decisions are clear, and changes of strategy are communicated formally and explicitly. Subordinates know their roles and responsibilities. However, the J manager may stick with a bad plan for too long, just for the sake of sticking to the plan. Moreover, a J manager may cut himself off from useful input, because he lacks the patience to encourage dissent or “thinking out loud.” Some descriptions of President Bush make him sound like a J. Within the organization, unhappiness comes from those who believe that their point of view is being suppressed.

The P manager’s strengths and weaknesses are the opposite. It is more likely that views outside the consensus will be heard. Plans will be more fluid, with few qualms about changing course. In fact, subordinates will often be caught by surprise, because the P manager will have changed direction without bothering to inform everyone. Subordinates may not even be able to tell when a decision has been made. You might leave a meeting believing that your point of view has won out, but in fact the P manager has not really committed himself. People with different points of view can each believe that they are aligned with the leader, so that they feel betrayed when decisions do not go as expected. Within the organization, unhappiness comes from those who believe that the failure to get their way reflects the malevolence and political ruthlessness of their rivals.

Don’t Worry about Apple

Sunday, January 18th, 2009

Don’t Worry about Apple, Cringely says:

For a time Apple will be run with everyone asking, “What would Steve say?” And because he’s been such a huge factor in the lives of his direct reports for so long, they’ll have that voice of Steve in their heads and will do the right thing automatically. And eventually, if Steve for some reason doesn’t return to Apple, new Steves will emerge.

I found this Evolution of Steve interesting:

The last time Steve Jobs left Apple, back in 1985, the entire company breathed a sigh of relief. Steve back then was an undisciplined brat. John Sculley was able to dramatically improve Apple’s balance sheet through one simple technique — eliminating all the wacky projects Steve was spending $200 million per year running at Apple —  projects that were generally never going to hit the market anyway. Alas, that’s where Sculley ran out of gas as a leader because he lacked technical vision where that’s all Steve had in those days.

It took learning to run NeXT on a budget and almost losing the company to teach Steve how to be a leader. It took learning to leave Pixar alone to teach Steve that there were some things —  many things —  best left to others more talented than he. Those two experiences, added to his fall from grace in 1985, made Steve Jobs the leader he is today. Still all elbows and shoulder blades, he somehow makes it work.

I feel for the guy. It’s not his health scare, but his lack of true friends that worries me. When your best friend is Larry Ellison you know you are in trouble. But that may be the best that either man can do.

Customer trust is hard won, easily lost

Saturday, January 17th, 2009

Jason Kilar, CEO of Hulu, recognizes that customer trust is hard won and easily lost:

On January 9, we removed nearly 3 seasons of full episodes of ”It’s Always Sunny in Philadelphia.” We did this at the request of the content owner. Despite Hulu’s opinion and position on such content removals (which we share liberally with all of our content partners), these things do happen and will continue to happen on the Hulu service with regards to some television series. As power users of Hulu have seen, we’ve added a large amount of content to the library each month, and every once in a while we are required to remove some content as well.

This note, however, is not about the fact that episodes of ”It’s Always Sunny in Philadelphia” were taken down. Rather, this note is to communicate to our users that we screwed up royally with regards to how we handled this specific content removal and to apologize for our lack of strong execution. We gave effectively no notice to our users that these ”Sunny” episodes would be coming off the service. We handled this in precisely the opposite way that we should have. We believe that our users deserve the decency of a reasonable warning before content is taken down from the Hulu service. Please accept our apologies.

Given the very reasonable user feedback that we have received on this topic (we read every twitter, email and post), we have just re-posted all of the episodes that we had previously removed. I’d like to point out to our users that the content owner in this case — FX Networks — was very quick to say yes to our request to give users reasonable advance notice here, despite the fact that it was the Hulu team that dropped the ball. We have re-posted all of the episodes in the interest of giving people advance notice before the episodes will be taken down two weeks from today. The episodes will be taken down on January 25, 2009. Unfortunately we do not have the permission to keep the specific episodes up on Hulu beyond that. We hope that the additional two weeks of availability will help to address some of the frustration that was felt over the past few days.

The team at Hulu is doing our best to make lemonade out of lemons on this one, but it’s not easy given how poorly we executed here. Please know that we will do our best to learn from this mistake such that the Hulu user experience benefits in other ways down the road.

Thanks or No Thanks

Thursday, January 15th, 2009

How hard could it be to come up with a million-dollar idea? Sometimes not hard at all:

Two years ago, Noah Weiss, a young programmer who spent the summer working here at Fog Creek Software, came to me with a business idea. Noah, who was still in college, had noticed that a lot of smaller tech-related blogs were running classified ads for job listings. He suggested that we do the same thing on my company’s blog, Joel on Software. The site is read by thousands of programmers a month — the ones who are so good at programming they have spare time at work to read the self-absorbed drivel I publish there.

Building an online classified ad system would be easy, Noah argued. (As any programmer would tell you: “It’s one table!”) And Fog Creek already had systems in place for charging credit cards, printing receipts, and accepting purchase orders, so the whole project wouldn’t take much work.

At first, I resisted. I had never run ads of any sort on the site and liked the idea of keeping it commercial-free.

But Noah kept arguing. “These 37signals guys are getting 50 ads a month,” he said, referring to a well-known software company in Chicago. “At $250 each, that’s — “

Wait, I interrupted. They charge $250 for each ad? I had imagined that the going price to run a job listing would be, oh, I don’t know, $4?

That’s right, Noah said. They charge $250 per ad. “Besides,” he went on, “a job listing is not really an ad — it’s providing a community service.”

By then I had almost stopped listening. Little gears were turning in my head: $250 times 50 ads times 12 months — that revenue would allow me to hire another programmer! So we added classified ads to the site. Noah wrote the first draft of the code in about two weeks, and I spent another two weeks polishing and debugging it. The total time to build the job listing service was roughly a month.

Instead of charging the going rate of $250, we decided to charge $350. Why not? I figured we could establish ourselves as having the premium product simply by charging a premium. In the absence of additional information, consumers often use prices to judge products, and I wanted our site to be the Lexus of job listings. A few months later, 37signals raised its price to $300.

By the time you read this, that little four-week project will have made Fog Creek Software $1 million — nearly all of it profit.

The real question though is, Thanks or No Thanks?

That raised a question: How do you properly compensate an employee for a smash-hit, million-dollar idea? On the one hand, you could argue that you don’t have to — a software business is basically an idea factory. We were already paying Noah for his ideas. That was the nature of his employment agreement with us. Why pay twice?

But I felt we needed to do something else to express our gratitude. Should we buy Noah an Xbox 360? Pay him a cash bonus? Maybe present him with a certificate of merit, nicely laser-printed on heavyweight bond paper? Or a T-shirt that said “I Invented a Million-Dollar Business and All I Got Was This Lousy T-shirt”? We were stumped.

And what about everybody else at Fog Creek? Those people were doing their jobs, too. Simply because one programmer’s idea translated visibly and directly into a lot of money didn’t mean that the other team members weren’t adding just as much value to the business, albeit in a less direct way. At around the same time Noah came up with the classified ads idea, most of my employees were hard at work developing FogBugz 6.0, a smash hit that just about doubled our monthly sales.

Noah’s case was only the most dramatic example of a question that has long intrigued me: How do you pay employees based on performance when performance is so hard to quantify? The very idea that you can rate knowledge workers on their productivity is highly suspect and always problematic. If you mess up, the consequences are very real.
[...]
Throughout my career, I have observed that companies with formal systems that tie cash bonuses to performance end up with far more than half of their staff sulking and unhappy.

You don’t want to replace intrinsic motivation with extrinsic, and you don’t want everyone thinking, Why didn’t I get as much?

His solution:

So, back to Noah, the guy with the million-dollar idea. Though we don’t believe in performance bonuses, we still wanted to recognize his contribution. We decided to give Noah 10,000 shares of stock — conditional on him coming back to work for us full time when he graduated. Because Fog Creek is private and our stock is hard to value, we could say “it’s only fair that you share in the wealth” without assigning an actual dollar amount to it. It wasn’t the perfect solution, but everybody thought it made sense.

Noah seemed pleased, and we hoped the stock would entice him to come back to Fog Creek to take a full-time job. Which…he didn’t. Google made him a better offer.

Test for Dwindling Retail Jobs Spawns a Culture of Cheating

Wednesday, January 14th, 2009

The Unicru personality test from Kronos Talent Management has apparently spawned a culture of cheating, as potential employees vie for low-end retail jobs:

When Anton Smith applied for hourly work at a Finish Line sneaker store in Charlotte, N.C., his first hurdle was showing he had the temperament for the job.

Finish Line Inc., like many other retailers, makes applicants take a personality test before it will consider interviewing them. The test asks whether they agree or disagree, and how strongly, with 130 statements. But thanks to a little digging on the Internet by a friend, which turned up an unauthorized answer key, when Mr. Smith took the test in late 2007 he had a good idea what the employer wanted to hear.

Statement: “You have to give up on some things that you start.” Suggested response from the cheat sheet: “Strongly disagree.”

Another statement: “Any trouble you have is your own fault.” Suggested response: “Strongly agree.”

The store hired Mr. Smith, 23 years old, for a part-time job, although the parent company later closed that outlet and Mr. Smith has moved on. His view of the pre-employment test: “It isn’t useful. People are hip to it.”

Many retailers have largely automated the hiring process with online personality tests such as Mr. Smith took. The system cuts the time store managers must spend in interviewing applicants. But the test also is creating a culture of cheating and raising questions for applicants about its fairness — even as it becomes a critical determinant of who gets a job and who doesn’t in a stressful era of rising unemployment.

The real cause of the financial crisis

Wednesday, January 14th, 2009

Semyon Dukach, former president of the MIT Blackjack Team, thinks that the real cause of the financial crisis is the ever-present temptation to create new Martingale schemes:

The Martingale system works as follows: suppose you need an extra $100. You go down to your nearest casino, and bet $100 on a hand of blackjack, or on any other almost 50/50 proposition. Should you win right away, you have reached your goal and gotten your money. Now if you lose, you bet $200. If you win the second bet, you’re up $100 over all and once again successful. But a little more than one out of four times you’ll lose both, and end up down $300. In that event you simply bet $400. If you lose again you bet $800, and you just keep doubling your bet until you win once. Clearly you have to win at least once eventually, and with this system you end up with your $100 profit even if you start out losing for a while. If you’re willing to bet up to ten times for instance, your chance of losing all ten bets is close to one in a thousand. That means that with a probability of almost 99.9%, you will win one of those ten bets, and therefore walk away with your $100.

Of course there’s a catch that few people notice. When the unlikely one in a thousand event happens and you do lose ten in a row, the actual amount that you’ve lost is over $100,000, all risked to win a mere hundred bucks. You might not have any way of doubling up again. You might even need some sort of bailout.

Naturally, money managers aren’t doubling their bets every time they lose:

In the world of investments, there are many ways more subtle than the Martingale to guarantee a better return over a period of months, years, and even decades, at the cost of certain ruin way down the road. Let’s say for instance that you’re managing a hedge fund which invests in stocks. Your strategy of sound fundamental analysis is fairly well understood. You have found that you can generate an average return of 6% per year, and so can most of your equally qualified competitors who have access to the same talent pool and knowledge base as you do. But then one of your competitors realizes that he can automatically increase his return to 9% by selling something called “out of the money puts” on the market. This means that the competitor’s fund essentially sells insurance against the market crashing dramatically. In normal times his fund will gain the premium from selling this insurance which boosts his returns. However, in the rare event of an extreme market crash his investors will lose everything. This form of Martingale can be easily tuned to work for various time periods with various chances of collapse.

The key takeaway:

The managers who have the discipline to understand and avoid the Martingale tricks will not be able to compete on the basis of their returns over a few years, and will eventually lose their funds and their jobs.

What is a money-manager of integrity to do?

The solution that they usually flock to is to create such a complex Martingale system that they themselves cannot understand the longer term risk implications. As long as the mathematical analysis of the risk of ruin lies beyond the understanding of the CEOs, the money managing organizations can stay competitive by employing their latest version of a return-boosting Martingale, without admitting to themselves or to others that they have been peer-pressured into the financial equivalent of selling their soul to the Devil.

In the 80′s the emerging Martingales were called junk bonds and LBO’s. In more recent times they are known as mortgage based derivatives and credit default swaps.

The Man Who Made Too Much

Wednesday, January 14th, 2009

Gary Weiss calls John Paulson the man who made too much:

Paulson is smart enough to know that at this particular moment in history, the less he’s heard from, the better. The simple reason: He is not suffering. In an era in which losers are universal and making a profit seems somehow shady, Paulson is the most conspicuous of Wall Street’s winners. Paulson & Co.’s funds (with an estimated $36 billion under management and growing by the day) were up a staggering $15 billion as the markets teetered in 2007; one fund gained 590 percent, another 353 percent. All this reportedly garnered him a personal payday of $3.7 billion, among the biggest in history. In 2008, his funds didn’t climb nearly as much but were still successful enough to put him at the very top of his profession. By scoring returns of this magnitude, Paulson has dwarfed the success of George Soros, whose currency trades in the 1990s made him so much money that he has spent much of the rest of his career atoning for them.

Paulson makes no apologies. During our conversation in his conference room, he describes in detail how he pulled off the greatest financial coup in recent history — a two-year bet that the calamity we are now experiencing would take place. It was a megatrade involving dozens of financial instruments, along with prescient wagers that banks like Lehman Brothers would eventually go under.

Everyone wants to blame the short-sellers, who profit when others lose, when they’re obviously not the cause of the problem.

This anecdote — it involves another short-seller, Chanos, not Paulson — demonstrates what kind of people run things on Wall Street:

The day before the Fed’s rescue of Bear Stearns, Chanos says he was walking to the Post House restaurant in New York City, when, at 6:15 p.m., his cell phone rang. He saw the Bear Stearns exchange come up on his caller I.D. and took the call.

“Jim, hi, it’s Alan Schwartz.”

“Hi, Alan.”

“Well, Jim, we really appreciate your business and your staying with us. I’d like you to think about going on CNBC tomorrow morning, on Squawk Box, and telling everybody you still are a client, you have money on deposit, and everything’s fine.”

“Alan, how do I know everything’s fine? Is everything fine?”

“Jim, we’re going to report record earnings on Monday morning.”?

“Alan, you just made me an insider. I didn’t ask for that information, and I don’t think that’s going to be relevant anyway. Based on what I understand, people are reducing their margin balances with you, and that’s resulting in a funding squeeze.”

“Well, yes, to some extent, but we should be fine.”

“This is now 6:15 on Thursday night, the night before the collapse,” Chanos says. “It was after a meeting with Molinaro”—Bear Stearns C.F.O. Sam Molinaro—“who basically told him at that meeting, ‘We’re done. We’re gone. We need money overnight we don’t have.’? So here he is, calling one of his biggest clients to go on CNBC the next morning to say everything’s fine when clearly it’s not. And he knew it wasn’t.”

Chanos refused to go on CNBC. By 6:30 the next morning, word was out that the Fed was engineering the rescue of Bear Stearns. Chanos realized that he could have been on CNBC while that was announced. “I thought, That fucker was going to throw me under the bus no matter what.”

“So here it is,” Chanos says. “Alan Schwartz takes the position ‘Short-sellers were our problem,’ and who did he try to get to vouch for him on the morning of the collapse? The largest short-seller in the world. You want to talk about ethics and who’s telling the truth on these things? It’s unbelievable.”

Anyway, here’s how Paulson made his recent fortune:

Long before the financial crisis hit, Paulson, according to one person briefed on the trade, invested $22 million in a credit default swap that eventually paid $1 billion when the federal government opted not to rescue Lehman Brothers. That amounts to a staggering $45.45 for each dollar invested.
[...]
Paulson got wind of the coming storm in the credit markets through the infallible barometer of prices. By 2005, the amount of money he could make on the riskiest securities was not enough to justify the risk he was taking. Pricing, in his view, made no sense. Paulson concluded that he could do better on the short side — wagering that prices of risky securities would fall.

“We felt that housing was in a bubble; housing prices had appreciated too much and were likely to come down,” he says. “We couldn’t short a house, so we focused on mortgages.” He began taking short positions in securities that he believed would collapse along with the housing market.

The best opportunities were in the junkiest portion of the housing market: subprime. Pricing of subprime securities “was absurd,” Paulson says. “It didn’t make sense.” Subprime securities graded triple-B — in other words, those that the credit-rating agencies thought were just a tad better than junk — were trading for only one percentage point over risk-free Treasury bills. This absurdity appealed to Paulson as easy money.

While Paulson was hardly the only fund manager to bet against subprime, he seems to have made the most money, most consistently, from the banking industry’s troubles. One reason for this is that Paulson was able to recognize and act on the unimaginable — that the banks, which took on most of the subprime risk, had no clue what they were holding or how much it was worth. Big banks like Merrill Lynch, UBS, and Citigroup held triple-A-rated securities, but these were backed by collateral that was subprime at best, making the rating of the securities almost irrelevant. “They felt,” Paulson explains, “that by having 100 different tranches of triple-B bonds, they had diversification to minimize the risk of any particular bond. But all these bonds were homogeneous.” It was like having 100 different pieces of the same poisoned apple pie. “They all moved down together.”

What separated Paulson from the rest of the hedge fund crowd was his realization that nobody was able to value these complex securities. His advantage came when he was willing to admit that. Other traders refused to short the big banks because they couldn’t believe that such huge institutions would be so unaware of their own risks.

A cute analogy:

Since all that toxic waste on the balance sheet imperiled the survival of the banks, Paulson wanted to be sure he was prepared. So he bought credit default swaps, like the $22 million he bet against Lehman — essentially an insurance policy that paid off when Lehman’s bonds defaulted.

Even though Paulson didn’t actually own any Lehman bonds, he made more than $1 billion on that bet. It’s as though he’d bought insurance policies on houses he didn’t own along the Indian Ocean just moments before the tsunami hit.

R, the Software, Finds Fans in Data Analysts

Sunday, January 11th, 2009

The New York Times has noticed the rise of R, the open-source stats package. R, the Software, Finds Fans in Data Analysts:

While it is difficult to calculate exactly how many people use R, those most familiar with the software estimate that close to 250,000 people work with it regularly. The popularity of R at universities could threaten SAS Institute, the privately held business software company that specializes in data analysis software. SAS, with more than $2 billion in annual revenue, has been the preferred tool of scholars and corporate managers.

“R has really become the second language for people coming out of grad school now, and there’s an amazing amount of code being written for it,” said Max Kuhn, associate director of nonclinical statistics at Pfizer. “You can look on the SAS message boards and see there is a proportional downturn in traffic.”

SAS says it has noticed R’s rising popularity at universities, despite educational discounts on its own software, but it dismisses the technology as being of interest to a limited set of people working on very hard tasks.

“I think it addresses a niche market for high-end data analysts that want free, readily available code,” said Anne H. Milley, director of technology product marketing at SAS. She adds, “We have customers who build engines for aircraft. I am happy they are not using freeware when I get on a jet.”

But while SAS plays down R’s corporate appeal, companies like Google and Pfizer say they use the software for just about anything they can. Google, for example, taps R for help understanding trends in ad pricing and for illuminating patterns in the search data it collects. Pfizer has created customized packages for R to let its scientists manipulate their own data during nonclinical drug studies rather than send the information off to a statistician.

That comment from SAS’s director of technology product marketing is just embarrassing to read. I can only imagine what the Red Hat folks, a few miles from SAS, are thinking.

At McDonald’s, the Happiest Meal Is Hot Profits

Sunday, January 11th, 2009

At McDonald’s, the happiest meal is hot profits, says Andrew Martin of the New York Times, as customers are “lured back by new menu items, longer hours and a sparkling new building that includes flat-screen televisions and video games for children”:

Mr. Ward says he’s a regular again because his McDonald’s is open until 1 a.m. Ms. Fillian and Ms. Milano, now moms, say they often bring their children to the playroom and feel no guilt serving them apple slices and white-meat Chicken McNuggets. Mr. Green was drawn back in — grudgingly — because McDonald’s lattes are cheaper and more convenient than those at Starbucks.

How Plentyoffish Conquered Online Dating (Hint: Its Founder Works Just One Hour a Day)

Saturday, January 10th, 2009

People are still talking about Markus Frind and his free dating site, PlentyOfFish.com. I guess that’s what happens when one guy, now working just one hour a day, pulls in $10 million per year in revenue, with most of it going straight to profit:

He looks down at his desk. There’s a $180,000 order waiting for his signature. It’s from VideoEgg, a San Francisco company that is paying Frind to run a series of Budweiser commercials in Canada. Like most of his advertising deals, this one found Frind. He hadn’t even heard of VideoEgg until a week ago. But then, you tend to attract advertisers’ attention when you are serving up 1.6 billion webpages each month.

That’s a lot of personal ads. “One-point-six ba-hillion,” Frind says slowly, smacking his lips on the hard b. “There are maybe 10 sites in the U.S. with more than that.” Five years ago, he started Plenty of Fish with no money, no plan, and scant knowledge of how to build a Web business. Today, according to the research firm Hitwise, his creation is the largest dating website in the U.S. and quite possibly the world. Its traffic is four times that of the dating pioneer Match, which has annual revenue of $350 million and a staff that numbers in the hundreds. Until 2007, Frind had a staff of exactly zero. Today, he employs just three customer service workers, who check for spam and delete nude images from the Plenty of Fish website while Frind handles everything else.

Amazingly, Frind has set up his company so that doing everything else amounts to doing almost nothing at all. “I usually accomplish everything in the first hour,” he says, before pausing for a moment to think this over. “Actually, in the first 10 or 15 minutes.”

To demonstrate, Frind turns to his computer and begins fiddling with a free software program that he uses to manage his advertising inventory. While he is doing this, he carps about Canada’s high income-tax rate, a serious problem considering that Plenty of Fish is on track to book revenue of $10 million for 2008, with profit margins in excess of 50 percent. Then, six minutes and 38 seconds after beginning his workday, Frind closes his Web browser and announces, “All done.”

Raise Your Own Padawan

Friday, January 9th, 2009

As GeekDad Ken Denmead points out, soon you’ll be able to raise your own padawan with the Force Trainer from Uncle Milton Industries:

The Force Trainer (expected to be priced at $90 to $100) comes with a headset that uses brain waves to allow players to manipulate a sphere within a clear 10-inch-tall training tower, analogous to Yoda and Luke Skywalker’s abilities in the Star Wars films.
[...]
In the Force Trainer, a wireless headset reads your brain activity, in a simplified version of EEG medical tests, and the circuitry translates it to physical action. If you focus well enough, the training sphere, which looks like a ping-pong ball, will rise in the tower.
[...]
Star Wars sound effects and audio clips emitted from the base unit “cue you in to progress to the next level (from Padawan to Jedi) or when to move the sphere up or down to keep challenging yourself,” Adler says.