A Pilgrimage Through Stagnation and Acceleration

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Why does success so often lead to anti-climax and a sense of stagnation?

Why is creative work so perpetually frustrating ?

Why do you constantly feel like you are falling behind?

In an effort to recover from my recent mini-rut I spent quite a bit of time consuming material that, in retrospect, revolved around these questions.  I will try to synthesize several of the more promising items and see if I can’t push them a bit further.

Thrust and Drag

Venkat Rao, attempting to explain the phenomenon of the 10x engineer, proposes a model of creative work based on an analogy to the mechanical concepts of thrust and drag:

He defines thrust work as those tasks with the potential for super-linear performance improvements as a function of consistent extended blocks of deliberate practice:

…such exponential gains always involve positive feedback loops, and thrust tasks contain two of them: the autotelic loop within a session, and the longer-term deliberate practice benefits that carry over between sessions.  These two positive-feedback loops together basically create an addiction.

Drag comes from those tasks that do not allow for super-linear performance improvement and moreover, tend to distract us from thrust work, interrupting the feedback loops noted in the quote above.

The moral of the story – if you optimize your time around thrust work and minimize drag, in the long run you will find yourself far ahead of the competition.  I won’t rehash all the details.  If you haven’t yet read Venkat’s piece you should take a quick detour over to the Tempo blog.

What is Drag?

If you’re back then you know that Venkat focuses specifically on managing drag work.  These are the tasks that seem important, even urgent, but ultimately offer little leverage in the pursuit of meaningful long-term development.  The solution offered is to optimize your schedule around thrust work.

But, suppose you have perfected the art of schedule management…have you permanently defeated the scourge that is drag?

Of course not.  Ultimately drag is anything that distracts you from thrust work.  Biological needs are sources of drag.  You surely know at least a few people who periodically engage in near-manic bouts of creative effort, largely by ignoring their needs to eat, sleep, or maintain decent hygiene.

Venkat focuses on schedule management because it is an obvious limiting factor.  Schedule management, for many people is the low hanging fruit.  However, alleviating one source of drag will only enable a temporary period of productive acceleration before another, previously latent source of drag emerges as a limiting factor.  You might reconfigure your schedule only to realize some weeks later that your poor eating habits limit your energy, crippling your ability to stay alert and focused.  While your schedule remained a mess, the constant distractions had obscured the limitations imposed by deficient diet.

If we incorporate the potential impact of lurking drag, the Thrust/Drag model no describes a steady accumulation of creative thrust.  Instead it describes a punctuated series of episodic curves.  A multi-year trajectory might be visualized as follows:

 

Each individual creative episode is unsustainable by its very nature.  As a given episode accelerates, surpassing the sustainable long term trajectory, the thrust engine overwhelms the available supporting capabilities.  For example, consider a common episodic cycle in the development of a consumer web start-up.

Starting from point A above, the company (let’s call it thrust.ly):

  • slowly builds its user base through organic word-of-mouth marketing
  • user growth hits an inflection point and accelerates (point B)
  • the company is featured on TechCrunch and traffic explodes (point C)
  • …and then the site crashes (point D)

Just as momentum build to truly exciting levels…some new limitation appears squelching that momentum.  For thrust.ly, new user growth stagnates for a period of time while they patch up their back-end to handle new levels of traffic.  Point D represents the anti-climactic transition to a new episodic growth curve.  The main source of drag throughout the previous episode (lack of exposure) has been alleviated but a new source of drag (lack of scalability) quickly emerges as the limit to growth.

The same dynamics apply in the individual context that Venkat addresses.  You work on something for a long time gradually accumulating momentum.  Finally you hit a milestone, accolades follow, then after a brief period of excitement…anti-climax.  You achieved your big goal…now what?

The problem is that you outran your supporting capabilities and that deficit became a source of drag.  Perhaps you didn’t have systems in place to capture leads.  Perhaps you lacked the bandwidth necessary to follow up on all the new opportunities.  Perhaps, due to lack of experience, you pursued the wrong opportunities.  Perhaps you just didn’t know what to do next – you outran your existing knowledge base.

In one way or another new varieties of drag emerge.   The accelerating curve you had been riding becomes unsustainable and you find yourself mired in the slow build of the next episode.  This is what we experience as anti-climax and temporary stagnation.

Mindful Learning Curves

This cycle of acceleration and setback comports with another post by Venkat describing the Mindful Learning Curve:

Traditional learning curves are typically smooth and S-shaped.

They are smooth because they typically track only peak or trough performance.

They plateau for a different reason: they use the same performance metric for all levels of performance. This may work at the Olympics, but is deeply misguided in most real-world domains. Performance quality is something you measure differently as skill levels increase.

He offers the following graphic as an alternative:

Why might a long term learning curve evolve in this sort of pattern?  Venkat explores the question at the level of day-to-day energy and inspiration.  But if we are to interpret the cycles in the chart above as phenomena evolving over weeks, months, or years, then we need a similarly scaled driver.

Fortunately, the analogy to thrust and drag provides just such an explanation.  Superimposing a few additional curves yields following:

The green line represents a sustainable multi-year trajectory.  The blue lines indicate the trajectory of each individual performance episode.  If you could accurately forecast the shape of each curve then you could make a clean jump from one episode to the next wherever two blue lines intersect, producing a clean staircase progression.  Unfortunately, in the real world our timing is rarely so precise.

More often than not, we ride the high of each episode too long and then crash only when previously latent sources of drag become unbearable.  Recall Venkat’s claim:

These two positive-feedback loops together basically create an addiction.

That predictable behavioral pattern produces the saw-tooth function seen above.

Trials and Tribulations

Episodic acceleration also helps explain why creative work is so perpetually frustrating.  The 10x engineer is able to achieve such a great disparity relative to his peers only because so few of those peers persist in the pursuit of thrust work.  Most fall of the wagon because objectively they don’t seem to be making any meaningful progress.  And in fact, through the large majority of the curve that assessment is accurate.  Venkat concludes:

I’ll be 37 next month. I’d estimate that I’ve spent maybe 8-12 months overall in 10x mode. I am trying to systematically raise the “10x uptime” in my life, but it isn’t easy.

It may be damn near impossible.  The reality of exponential progress is that you spend the vast majority of your time slowly building momentum in order to enjoy the brief flashes of rapid progress.

If you’ve ever watched a space shuttle launch you have witnessed this phenomenon.  The countdown approaches zero, engines fire, smoke engulfs the launch platform…and the shuttle doesn’t budge.  Finally the countdown hits zero and the shuttle lifts almost imperceptibly off the platform…slowly accumulating velocity as it rises into the sky.  Not until nearly a minute after the engines ignite does it break the sound barrier.

That is the nature of thrust.  The ultimate surge as you approach escape velocity may be spectacular…but it is fleeting.  The space shuttle rapidly consumes its fuel and its momentum succumbs to the “drag” of Earth’s gravity.  Re-accelerating to escape velocity requires another arduous slow burn.

Paul Graham, in an essay exploring the differences between intelligence and wisdom, reflects on one facet of this phenomenon:

To me it was a relief just to realize it might be ok to be discontented. The idea that a successful person should be happy has thousands of years of momentum behind it. If I was any good, why didn’t I have the easy confidence winners are supposed to have? But that, I now believe, is like a runner asking “If I’m such a good athlete, why do I feel so tired?” Good runners still get tired; they just get tired at higher speeds.

Graham lacks “the easy confidence of winner” because most of the time he isn’t winning.  The episodic trajectory suggests that each win merely offers the opportunity to enter a new episode as a beginner.  Venkat argues that it is precisely this capacity to dynamically shift from a beginner’s mind to a winner’s mind, and back again, that enables the long term momentum:

Those who focus only on the peak get addicted to the highs that peaks bring. They abandon discipline and only attempt performance episodes when they feel the “flow” coming on. Unfortunately, without disciplined and regular “showing up,” these events become increasingly rare.  [Elizabeth] Gilbert’s daemon is not predictable but it expects you to be.

There is something like an economy of performers in your life. Every day you are a different person. Some days you are wealthy with flow, other days you are impoverished.

Many people are good at managing episodic tempo on either end of the spectrum. They might be good at peak performance or trough performance, or even both, but are bad at choosing the right tempo management behavior at the right time, and switching frictionlessly. It’s a mental trick — being able to swap out a peak game-mind for a trough game-mind very quickly.

In other words, creative work will always be frustrating because you can never be sure where you are in the process.  The best you can do is follow the most promising breadcrumbs and continually refine your own internal gyroscope.

A Different Sort of Rat Race

The skeptical reader at this point might contend that I am misrepresenting that nature of exponential growth, that we can only identify inflection points in retrospect, and that every point on an exponential curve looks exponential at the appropriate scale.  These would be reasonable criticisms if human intuition was scale invariant, but obviously that is not the case.  Quite the contrary, an unfortunate side effect of super-linear mindful learning curve is that you perpetually feel like you are falling behind.

Why?

Because paradoxically you are perpetually falling behind.  At any point in your journey you will tend to compare yourself to peers who have abandoned the long term trajectory and are progressing more quickly along comfortable linear paths.

Paul Graham continues the previously quoted comment as follows:

People whose work is to invent or discover things are in the same position as the runner. There’s no way for them to do the best they can, because there’s no limit to what they could do. The closest you can come is to compare yourself to other people. But the better you do, the less this matters. An undergrad who gets something published feels like a star. But for someone at the top of the field, what’s the test of doing well?
(emphasis mine)

Does the undergrad really feel like a star after getting something published?

Perhaps he does.  Perhaps he is approaching an episodic peak and his life feels like one uninterrupted peak performance.  But that can’t last forever.  As he accumulates thrust he also accumulates drag.  Soon he will have a choice to make: transition to the next episode and embark on a new slow build, or parlay his big break into a comfortable role that offers predictable linear advances.  If he persists along the mindful learning curve he will soon find himself falling behind peers who made the easy choice.

On this point Graham misses the mark.  The vast majority of people who “invent or discover things” are not at the top of their field, and they are hardly immune from the dissatisfaction that he describes.  For them, it is not unbounded expectations or unreachable potentialities that are frustrating.  Nor are potential comparisons to their most prodigious peers what they find most discouraging.  Most people learn to modulate their expectations at least that much.

No, it is the comparisons to people who are less talented yet objectively more successful that are truly disheartening.  At any level, there will be peers who have opted out of the mindful path and accepted a predictable linear course – the engineer who accepted the cushy soul-crushing corporate job, or the artist who started shucking formulaic garbage to a captive audience, or the entrepreneur who built a disruption-resistant moat around his one big idea.  They will be steadily accumulating tangible rewards while you are struggling for each sub-linear advancement.

Of course, if you persist in your dedication to thrust work, you will eventually surpass your linear counterparts.  Over the long haul you will end up in a different class.  But with each episodic jump you will be comparing yourself to (and steadily falling behind) a new cohort of peers.

The NFL rookie quarterback who invests a year on the bench adapting to the speed and complexity of the pro game, finds little solace in comparisons to all the guys who went undrafted.  Instead he grates at the comparison to the guy who was picked late in the draft yet still managed to jump right onto the field running a dumbed-down offense.

As Venkat notes:

Performance quality is something you measure differently as skill levels increase.

Once you graduate from a given episode your notions of success evolve.  Comparing yourself to a prior cohort of peers offers little consolation.  The only consolation available is the knowledge that there is no going back.  I will second Venkat’s assertion:

 Being without a thrust-engine is horrible. The periods of my life when I lacked one are the worst ones I remember.

Once you’ve had a taste, no extrinsic reward can offer a viable substitute.

 

photo courtesy of Eole

  • http://www.ribbonfarm.com Venkat

    What you are calling ‘lurking drag’ reminds me of the ‘moving bottleneck’ idea in Eli Goldratt’s “The Goal” (it is a fictional story to teach the basics of the operations research phenomenon of moving bottlenecks).

    The prototypical example is a machine shop. At any given time, there’s a critical path and a bottleneck on that path. Improving efficiency there helps improve overall efficiency, while improving efficiency anywhere else is a waste of resources. But the moment you improve the bottleneck beyond a certain point, it is no longer the bottleneck — the bottleneck has moved to the next-most-constrained point. So you keep swatting one bottleneck after another, whack-a-mole style, and overall performance keeps improving. Another way to think about it is that everything else EXCEPT the bottleneck is over-designed. If you cannot improve the bottleneck performance, and are at some sort of fundamental limit, you can then gain by reducing performance elsewhere and getting rid of the excess capacity away from the bottleneck.

    An optimal system in this sense is one where every component is designed to perform at the peak capacity of the bottleneck with the tightest fundamental limit. Every point in the machine shop flow is at maximum capacity utilization.

    Machine shops are good examples for thrust work that produce something. If you alternately think in terms of resistance/load-bearing work where nothing is moving, the bottleneck is the single point of failure most critically near failure (imagine holding a bucket that’s increasingly weighed down… which bone/muscle will break first?). The weakest link, in other words. You can strengthen the failure point until the weakest link location moves. As with moving bottlenecks, the optimal system is one which fails simultaneously at all points. Mathematically, the two are roughly the same (though the physical system is usually a discrete network dealing with a stochastic work queue in the first case, while it is a continuous system under a continuously varying load in the second case… you get systems of stochastic difference equations or stochastic partial differential equations respectively, but the model structure is the same).

    For human striving, this provides a useful metaphor and goal for mindful living: you try to bring your whole life into that critically poised state where you are limited only by your lowest fundamental limit. You can then try to push on that limit (since you won’t know you’re there until you test it), making sure to take the rest of the system with you, by keeping it in the critical state.

    This is how I read the common trope in movies with “enlightened master” characters (such as the old teacher in Kung-Fu Panda). The teacher ages, and at some point dies by simply dissolving into a cloud of petals or something (instantaneous failure throughout the system).

    I like this whole idea the same way I like the idea of general equilibrium in economics. It is an interesting idealization to motivate certain types of analysis, but I am not entirely sure you can get anywhere near this “critical system” state starting from arbitrary points (genetics, birth situation) within the normal human lifespan.

    • http://OnTheSpiral.com/ GregoryJRader

      Well the value of general equilibrium in economics is as a baseline against which we can study divergence from the idealized case.  The same is true here.

      I actually agree that in reality it is a fool’s errand to chase the idealized state of perfect and the distinctions you provide go a long way towards explaining why that is case.  If it is the case that certain activities demonstrate compounding returns while others do not, then we should expect a rational agent who lacks perfect information to over-invest in compounding returns, particularly when that compounding is tangibly accelerating.  The task of constantly rebalancing would be a source of drag in itself, killing the golden goose.  

      So taking the machine shop analogy, even if you know the part you are currently working on has  been improved to the point of over-design, you may be better off continuing to accrue 10x productivity in your work on that part until a new weak link becomes obvious.  If switching to another part entails trading 10x gains for 1x gains, then switching prematurely is much more costly than over-investing.  

      The two real world mistakes that this model focuses us on are:
      1. Continuing to over-invest once it is clear that the bottleneck has shifted (chasing old peaks)
      2. Under investing in areas that offer future potential compounding due to initially disappointing returns (avoidance of troughs)

      These are really two sides of the same coin.  When you talk about developing an internal gyroscope, that is how I interpret it.  The closest we can come to the idealized critical state, without sacrificing the overall trajectory, is to accurately recognize shifts in momentum and adjust accordingly.   

  • http://www.newcommbiz.com/ tacanderson

    I just wrote about something similar in driving organizational change. http://wp.me/pXoSp-1Jp It’s often easier to move organizations by allowing them to make a series of failures (that lead them in the right direction) then it is to try and get them to change in one sweeping movement. 

    I find the same thing in my own life. Being A.D.D. and being aware of it since the 3rd grade I’ve become acutely aware of how my brain works and when the optimal time is for me to work and on what kind of projects to work on. I then optimize my time and work accordingly. For me drag isn’t a bad thing. It can be minimized but if you look at airplanes (as opposed to rockets) certain kinds of drag are required to create lift.

    Using some drag (because there is too much) as a way to set yourself up for thrust is the way I’ve been able to optimize my output without burning myself out or beating myself over the head. It means I don’t always work the same hours as my coworkers and it means sometimes I’m deliberately late (and occasionally early) on something because I know if I wait I’ll get something much better. 

    It’s about using the valleys to gain momentum. The problem, I think, is that people loose momentum in the valleys or try and fight their way through them instead of letting their momentum to carry them through. 

    Great post as always Greg. 

    • http://OnTheSpiral.com/ GregoryJRader

      Could you expand on what you mean by using drag to set yourself up for thrust?

      That idea works quite nicely with the notion of exponential trajectories.  If you can slow yourself down somewhat then such a curve would build more deliberately, delaying burn-out.  I would be interested in any other examples you might be able to share.  

      Enthusiastically agree on your last point.  One of the more significant benefits I derive from this model is the reframing of the valleys as period of staging or investment in future momentum rather than as a rut or trough.  

      • http://www.newcommbiz.com/ tacanderson

        That’s exactly it. You can’t keep up a thrust level of effort all the time. You eventually burn out. Granted you can keep up that high performance longer than people think but I’ve experienced 2 problems: when your work is dependant on other people keeping up a high pace can be counter productive, secondly sometimes you can achieve higher levels of thrust if you hit a dip first, like BMX racers hitting a double jump. You have to time it and rely on momentum. Keep it smooth.

        In these dips, drag work can be the perfect kind of work because it can rest that par of your brain that does the thrust work. Now, the wrong kind of drag work can just ruin. Your whole day, so I’m not saying it doesn’t need to be managed I’m just suggesting its not all bad, like some people believe.

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