I have always struggled with the dark art of pricing artwork. Weird magic is involved. I have seen an interested buyer lose interest when I quoted a price that was too low. Oops, I mean… All of a sudden the aura of the work was gone. How could I be a serious artist if I was willing to sell for that price? Could it be that it certain cases, raising the price actually increases the demand?
I was talking about this recently with a friend and he told me an anecdote about a wine seller who had an overstock of a particular wine. When putting the wine on sale didn’t help it move, he greatly inflated the price and suddenly it began flying off the shelves. Does more expensive wine taste better? This Freakonomics podcast explores this question with surprising results. I thought my unsophisticated palette was to blame for the fact that I can’t tell the difference between five dollar and fifty dollar bottles of wine. Turns out I’m not alone. In blind taste tests, the experts may be just as clueless. I think wines with cool labels taste best.
I have discovered that there is something in economics called a Veblen Good, a luxury item for which price equates quality. Art can fit into this category. Economists in the house, please comment. My knowledge of the subject is confined to my recent Google history, but I’m happy it has a name.
At any rate I’m trying to make the best paintings I can. Below is a painting I recently completed. It can be yours for ONE MILLION DOLLARS.

Engineering school is about learning how to frame problems. So is data science.

I have a degree in mechanical engineering from a good school, but I’ve never worked a day in my life as an engineer. Instead, I’ve dedicated my career to “data science” — I help people solve business problems using data. Despite never working as a mechanical engineer, that education dramatically shapes how I do my job today.
Most baccalaureate mechanical engineering programs require you to take ten or fifteen core classes that are specific to the domain: statics, stress analysis, dynamics, thermodynamics, heat transfer, fluid dynamics, capstone design, etc. These cover a lot of content, but only a tiny fraction of what you actually face in practice, and so by necessity mechanical engineering programs are really about teaching you how to think about solving problems.
My thermodynamics professor taught us two key things about problem solving that shape how I solve data problems today.

“Work the process”

On the first day of class, rather than teach us anything about entropy or enthalpy, he taught us a twelve step problem solving process. He said that the way to solve any problem was to take a piece of paper and write in numbered sections the following:

1. Your name
2. The full problem statement
3. The ‘given’ facts
4. What you’ve been asked to find
5. The thermodynamic system involved
6. The physical system involved
7. The fundamental equations you will use
8. The assumptions you are making
9. The type of process involved
10. Your working equations
11. Physical properties or constants
12. The solution

The entire course was based on this process. Follow the process and get the wrong answer? You’ll still get a decent grade. Don’t follow the process but get the right answer anyway? Too bad.
Some of these steps are clearly specific to thermodynamic problems, but the general approach is not. If you start from a clear articulation of the problem, what you know, what you’re trying to solve for, and the steps you will take to solve it, you’ll get to the right answer most of the time, no matter how hard the problem looks at the start.

“There is no voodoo”

The other thing that this professor taught us right away was that there was no “voodoo” in anything we were going to study, and that everything can be explained if you take the time to understand it properly.
I’d argue that the fundamental reason why data science is a hot topic now is that businesses want to understand why things happen, not just what is happening — they want to peel back the voodoo. There’s always a fundamental reason: applications don’t suddenly get slow without an underlying cause, nor do people start or stop using a feature without something changing. We may not always be able to find the reasons as well as we’d like, but there is fundamentally an explanation, and the job of a diligent engineer or data scientist is to look for it.

It was totally worth it

People sometimes ask me if I feel like I wasted my time in college by not studying statistics or computer science since the career I’ve ended up in is more closely aligned to those. My answer is a categorical “no” — I can’t imagine a better education to prepare me for data science.

Being remote means that the typical watercooler discussion of the office tends to be reduced to sharing neat links and cute dog photos in our Campfire rooms. This is another reason I enjoy our company meetups: it’s a chance to learn a little more about your coworkers. It’s much more rewarding when we share snippets of daily life, like our current workspace status.

An excerpt from Chicago: City on the Make, a 12,000 word lyrical essay by Nelson Algren originally published in 1951:

Chicago. City on the make. A tangle of hustlers, gangsters, and corrupt politicians. A city of nobodies nobody knows, the ginsoaks, stew bums, and shell-shocked veterans who lurk in the alleys and linger in the weedy wastes underneath the ‘L’ tracks, and a town that sells out its dreams and disappoints its dreamers, but Once you’ve become a part of this particular patch, you’ll never love another. Like loving a woman with a broken nose, you may well find lovelier lovelies, but never a lovely so real.

I love Chicago—imperfections and all. Some are surprised to learn that 37signals, a software company, is based in Chicago rather than San Francisco or New York. Yes, we’re a company of remote workers. We’re even writing a book called REMOTE: Office Not Required. But I believe our Getting Real approach and REWORK perspective just would not exist without Chicago’s “real-ness” in our blood.
What do you love about your city or town? Does the surrounding culture affect how you approach life or work? I’d love to read about it in the comments below.
PS. Come experience Chicago first-hand by attending The Switch Workshop on Friday, April 12. We’re hosting at the 37signals office. Right in the heart of Chicago.

Customers don’t just buy a product — they switch from something else. And customers don’t just leave a product — they switch to something else.

It’s in these switching moments that the deepest customer insights can be found.

On the 12th of April, a group of 24 people will attend a unique, hands-on, full-day workshop to learn about “The Switch”.

Most businesses don’t know the real reasons why people switch to — or from — their products. We’ll teach you how to find out.

The workshop will be at the 37signals office in Chicago. The cost to attend is $1000. The workshop will be led by 37signals and The Rewired Group.

• You’ll participate in live customer interviews.
• You’ll learn new techniques for unearthing the deep insights that most companies never bother to dig up.
• You’ll understand why people switch from one product to another and how you can increase the odds that the switch goes your way.
• And you’ll be able to put everything you learned to immediate use.

There’s only one simple requirement: You’ll be asked to bring something with you. It won’t be a big deal. Details will be provided one week before the workshop.

Spots are limited. Only 24 people will be able to attend and participate. Want to be one of the 24? Register now.

Note: All previous workshops have sold out well before the event, so don’t delay if you want a spot.