Study Hacks Blog

Deep Economics

I’m always looking for particularly inspiring or exotic examples of deep work habits. With this in mind, I was pleased when an alert reader named Stepan recently sent me an interesting case study concerning the Nobel Prize winning economist Milton Friedman.

The following quote is taken from an interview with Friedman published in a macroeconomics textbook:

“[W]e typically spent three solid months in the country at our second home in New Hampshire to begin with and later on in Vermont. Then later on I split my life 50–50: we spent six months a year in Chicago and six months a year in Vermont. Almost all of my writing was done in Vermont or in New Hampshire, relatively little during the actual school year.”

Friedman goes on to elaborate how he maximized depth during his periods away from Chicago:

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Stellar Social Media

In the first line of Neal Stephenson’s epic sci fi tome, Seveneves, the moon shatters into seven pieces. Two years later, all life on earth is destroyed by the resulting rain of moon rocks from above.

Fortunately, before this cataclysm begins, humanity manages to send a small representative group of the species into space to live in a floating swarm of space station modules. These modules, naturally enough, are connected by social media applications running over a mesh network.

Given the projected importance of this network for maintaining a community, a social media celebrity named Tavistock Prowse is selected as one of the lucky survivors to join the new space colony. I’m not giving away anything not already stated on the book’s back cover when I note that things do not go well. (Especially for Tavistock Prowse.)

Enough people survive, however, for humanity to continue. As the book jumps 5000 years ahead, we learn that future humans have studied the life of Tavistock, and more specifically his interaction with social media.

They’re not impressed…

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Immersive Single Tasking

A few weeks ago, I wrote about an intriguing application of virtual reality: helping knowledge workers achieve hyper productive states.

To be clear, when I say “productive,” I’m not referring to the efficient processing of the types of shallow tasks that computers will one day soon automate (think: emails and administrative drudgery).

I’m instead talking about wringing the most possible value out of your brain as you work deeply on important objectives. In other words, the type of effort that’s becoming increasingly valuable in our 21st century economy.

I called this application of virtual reality immersive single tasking. In this post, I want to provide some more details about the key principles that I think will allow virtual reality to unlock this vision of hyper productivity.

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A Pioneer Pontificates

Jim Clark knows how to create valuable things. He’s one of the few people in the recent history of American business to start three different billion dollar companies.

Clark also knows about technology: all three of his billion dollar companies were Silicon Valley startups.

We should, in other words, take his thoughts seriously when he discusses productivity in the digital age, which he did, a few years ago, in an interview with Stanford president John Hennessy (see above).

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The Deliberate Creative

Last month, Scott Barry Kaufman posted an article titled “Creativity is Much More Than 10,000 Hours of Deliberate Practice.”

Kaufman was responding to Peak: Anders Ericsson’s recent book on expert performance.

At the core of Kaufman’s critique is the idea that deliberate practice does not work well for “almost any creative domain” [emphasis his].

As he summarizes:

Deliberate practice is really important for fields such as chess and instrumental performance because they rely on consistently replicable behaviors that must be repeated over and over again. But not all domains of human achievement rely on consistently replicable behaviors. For most creative domains, the goals and ways of achieving success are constantly changing, and consistently replicable behaviors are in fact detrimental to success.

This discussion caught my attention because my day job is the quintessential creative endeavor. As a theoretical computer scientist, I solve math proofs for a living. To conjure something that makes it past the brutally competitive peer review process in my field usually requires an original approach that makes progress where other really smart people have been stuck.

This reality is why I’m able to draw with some confidence from a well of personal experience when I note that I strongly disagree with Kaufman.

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Ready Thinker One

Earlier this month, I demoed the HTC Vive virtual reality system. I was impressed. The Vive uses wall-mounted sensors that track your movements as you walk around a virtual space and interact with it using handheld wands.

The effect can be quite immersive.

At one point in the demo, I found myself in a small science lab. I could walk around and explore whirring gadgets on shelves. On a whim, I crouched down and peered under a sink and examined the pipes underneath.

It’s a scene straight out of Cline…but with less Dungeons and Dragons references.

Yesterday, however, I had a revelation about this technology. After giving a speech about deep work, I participated in a discussion with local entrepreneurs. Someone asked me what role virtual reality might play in supporting deep work.

A light bulb went off in my head. The answer was clear: potentially a lot!

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