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“Modeling the world as it is, is one thing. But as soon as you being using that model, you are changing the world, in ways large and small. There is a broad assumption underlying many machine-learning models that the model itself will not change the reality its modeling. In almost all cases, this is false.”
Brian Christian
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“The proper method for hastening the decay of error, is not, by brute force, or by regulation which is one of the classes of force, to endeavor to reduce men to intellectual uniformity; but on the contrary, by teaching every man to think for himself.”
William Godwin
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Back in the 1970’s (maybe 80’s) Arie de Geus suggested “the ability to learn faster than competitors may be the only sustainable competitive advantage” and the idea of a business in perpetual motion was solidified. Well. That is assuming you were paying attention to Arie and agreed with him.

Business has, since then, gussied up constant learning with scale, velocity, and a variety of other nifty terms to communicate ‘business being in perpetual motion.’ At the core of all of this is that systems (business) are internal models of their environment which progressively and iteratively improve as systems accumulate knowledge and experience. In other words, systems learn. I share that because effective motion is a derivative of understanding systems and people and decision-making.
Which leads me to Motion (in general).
To do lists are endless with lots checked-off but never get shorter. People are working long hours but what is done never seems to create any meaningful progress. This is motion while being stagnant. It’s like a hamster in a wheel. It’s not only unsatisfying for the people in the wheel, but the business itself doesn’t gain any satisfying results (although managers are usually quite creative in result presentations to make it seem like shit is moving everyone forward).
What I am suggesting is motion is always about decisions. What I mean by that is there is never any lacks of things to do in a business but some just aren’t worth doing.
Meaningful motion projects fall into 2 slots:
- value creation initiatives which increase motion of value offered
 - motion initiatives which increase the motion of the organization itself & indirectly enhances value
 
Choose your projects wisely. Meaningful motion is all that matters. That said. Motion will always inherently contain some ambiguity. What I mean by that is even with the existence of the best information available <and learning> it will be simultaneously true that (a) people will not agree what that information says and (b) people will not agree what the future will bring. This means goal commitment may be necessary, but not sufficient in accomplishing goals.
“Don’t confuse a flurry of activity for progress. That’s a magician’s trick.”
One of my past Bosses
What do I mean?
How often do we see a company doing lots and lots of shit yet we don’t really see any progress? That’s a business in love with motion in and of itself. That’s a business which justifies return off of doing and not progress. In the end. Motion has a direct relationship to ‘doing shit’ (progress type projects, not speed or stagnant projects) and “doing shit with utility”.
Which leads me to decision utility.
Motion, at its core, is about decision utility, i.e., which decision will create the greatest return. I call it Return on Choice (ROC). In business you face a relentless onslaught of decisions to be made. Success is often dictated by how well you choose what is important versus what is not as important versus what is not important at all.
Let’s face it. No matter how good you are you will not always get this right.
Let’s face it. We could all become more adept at making choices because, let’s face it, if anything, we seem to have become worse at making thoughtful choices.
I would be remiss if I didn’t point out there is a direct relationship between ROC and impatience, i.e., too impatient poorer ROC and just enough patience higher ROC.
Now. I am all for, and a huge proponent of not dicking around <the technical term for ‘wasting time overthinking’> when a choice needs to be made. But there is a difference between making speedy decisions and making a decision because speed is the main criteria. The latter encourages impatient decision making which lessens decision utility.
This happens for two reasons:
- Impatience exacerbates our typically poor prioritization skills
 - Impatience emphasizes Personal bias
 
That said.
A key part of decision utility and motion is prioritization skills
Since we live in a world of infinite possibilities, it’s so hard to figure out what to do, when, and where.
If you start thinking this way … well … you begin living in a world strewn with hypotheticals.
If I do A, then this will happen. But what if I do B? Will it be better? Will I get back more? Will everyone around me be more satisfied? Or what about C? That looks good. Oh. But someone suggested D.
You get it. There are 26 letters in the alphabet and while most of us stop way before Z, even getting to D can be maddening. It seems like the world is your oyster, everything is possible, but you don’t take advantage of any opportunities because you’re not sure of what’s best.
This is where I remind everyone what US President Dwight D. Eisenhower supposedly said: ‘The most urgent decisions are rarely the most important ones’. Misreading the urgent from the non-urgent and the important from the unimportant may create impatience at the wrong time and waste energy & focus. Smart business patience, and motion, at its simplest is grounded in the The Eisenhower Matrix. While Stephen Covey is often credited with the decision-making matrix it was actually Dwight Eisenhower, considered a master of time management, who developed the matrix.

Yeah. Decision utility is often driven by effective prioritization, i.e., what to do and what not to do.
“Mental clarity ain’t for the faint of heart.”
Katerina Stoykova Klemer
Which leads me to the battle between Motion and Personal bias.
Decision utility has to navigate the ‘personal bias’ maze.
“Being aware of our own biases doesn’t mean we aren’t still susceptible to them.”
Faris Yakob
When impatient we get, well, lazy. We lean in on our bias which is unfortunate because thinking takes hard work and every choice has opportunity costs. Unfortunately, most of us are not good at assessing ROC <return on choice> when viewing things thru a bias.
People need to invest in working to eliminate bias.
Invest in developing the choices <and however many we need to feel like we have enough to assess assuming that is a finite number>.
Invest in actually assessing the choices <better, betterest & best assuming a best can be actually identified>.
Invest in the actual choice.
Invest in learning so the choices make more and more sense.
I imagine we are talking about the proper investment in time because organizational impatience leads to the permitting of poor choices <and a quicker death of a thousand cuts>.
Let me be clear. Dealing with impatience and balancing impatience & patience ain’t for the faint of heart. Managing decisions is all about a thorough understanding of the decision’s hierarchy of needs, navigating bias & understanding the attributes in a span of time that generates the most rewarding outcome. Being impatient doesn’t mean you ignore this thinking but rather you incorporate it into your impatience <and it can dictate how patient you are in your impatience>.
Successful impatient decision making is about having, well, a rigid policy of flexibility.
Ok.
Translation. Effective impatient patience is all about mental clarity. Creating mental space to see things, feel things, absorb things and make those things into a decision or choice <that is learning by the way>.
Which leads me back to decision utility.
When you are facing a choice, making that decision <yes or no, do it or don’t do it>, you go through a cost-benefit check that may last anywhere from a split second to days, weeks, or even months <and yes even months can be an impatient patient choice>.
Such choices come up many times a day and time is a factor in virtually all of them.
It is easy to see how impatience can be abused if we regard life in today’s world as an almost unbroken fast-moving river of choices/decisions. In that world, utility becomes blurry and learning is a luxury.
Anyway. It is easy to see how with everything moving so fast all the time you can actually feel like you are speeding along even without making any good ROC choices. But 99 times out of a 100 there is little meaningful motion, just motion. I imagine my large point is that to ensure learning is useful and sustainable, you should probably iterate (OODA-ize) your motion. OODA makes tangible decision utility and learning value.
Which leads me to reductionism (which, OODA, used poorly, can lead to).
Reductionism never works because, well, it kills motion. Ok. It reduces larger motion of the whole system. It ‘right sizes’ 
motion under rationalizing energy use and thereby not only restricts expansiveness of motion but also the expansiveness offered by the larger system.
That said, to protect the ‘effective doers’ a bit, deliverers of effective consistency <let’s call us ‘the everyday working schmucks’> are kind of screwed in today’s business world in that you can clearly have focus and your consistency may be less clear to those around you.
If I have two major gripes in today’s business world, it is that we, leaders & managers, need to:
– Better recognize the unseen portions of consistency <the focus within the inconsistency>
– Better accept the unseen portions of consistency <the focus within the inconsistency>
Inconsistency and consistency <embracing both> is a skill & an art. I would note embracing some inconsistency and yet maintaining some consistency is kind of the key to successful perpetual motion in business.
Which leads me to motion in a complex, dynamic, environment.
Learning should seek to harness aspects of the system and complexity to enable perpetual motion. Yeah. Complexity is not an issue. The world is complex, an industry is complex, a business is complex, people are complex, heck, even learning is complex. We deal with complexity every day. To enable motion, we need to ‘de-confuse’ complexity. this does not mean dumbing it down or stripping it of important detail, it means making it understandable . The more things are understandable, the simpler they appear. When things appear simple, they become useful. On the other hand. Too simple is not useful. In addition, contrary to popular belief, complexity is actually interesting and people engage in complex environments BECAUSE they are dynamic. It has an inherent feel of motion (versus stagnancy) which people find appealing. Now. Too much ‘motion’ (or too fast), or being confused, kills the appeal. Therein lies the challenge with complex systems and business in general. Once again, I would argue information, well delivered, addresses everything I just noted and creates the sustainable advantage.





What this does mean is that you receive compliments, as well as criticisms, based on competitions you didn’t agree to.

Sum it all up and you get a confusing picture of a human mind that is alternatively strong and weak, pliable and inflexible, constantly overwhelmed yet inevitably insatiable and … well … always contradictory.

Nuts <again>.
So. We all need validation.
And, yes, that is a fair worry.
Some people don’t need this often — kind of like maybe once a quarter you receive some validation that you don’t suck as a leader.
We all need some validation on occasion.
Fear drives us to make things smaller. What do I mean? ‘Bigness’ is to be feared so we “break things down into measurable components”, i.e., “small”, to eliminate fear (under the guise of driving objective driven results). While seemingly smart, its actually dumb. It puts you on a results treadmill which, when stopped, brings everything crashing down.
 rarely obvious cause/effect, impossible to predict, things (the things that actually drive business success).
What these managers don’t realize is that their employees see right thru the created aspect. Far too many times managers step back saying things like “I don’t have the right people to implement the important objectives’ or the ones with good intentions focus on the wrong things like ‘I need to learn how to motivate my people’ <only to implement some of the wackiest motivational shit you will ever see>. Not enough times managers don’t look in the mirror at the actual stimulus, the identified separated ‘main thing’, and truly challenge whether it really is a ‘main thing’ rather than simply a business objective we need to attain for the good of the business.
company/product/service has maximized value. Once again, not separate, but whole. Solely focusing on analytics, through measurement, is always tempting because it shows some aspect of ‘cause & effect’, but it also has a nasty habit of driving a business into focusing on ‘the tallest midget’ aspects of building a business <and it is absolutely short-term management>. I would be remiss if I didn’t point out here that discovery is actually the measurement.
contest where the winner takes home a frozen turkey.
And as I gaze at it I thought of all the years in the past as I lived a nomad life away from any family, my own or anyone’s, and I think of the solo trips to islands and far off countries and … well … luxuries many people have never had the opportunity to enjoy.
It was not indulgence, it was not extravagance, it was a celebration of real output <not income>.
Everywhere you turn there is the message screaming at us that we need to give ourselves a break and have a treat:
<b> create the impression we are sacrificing more in our everyday toil (answer: yes).
This is simply a reflective moment on how we think about what we deserve on Thanksgiving.

the opportunity arises.
The first part of the Willie Wonka story is a good satire on how adults sometimes make trivial things so important and how the media gets carried way with stupid trivial issues that adults have heightened in importance. Well. That certainly sounds relevant in today’s world, huh?
don’t really embrace the whole ‘live in the now’ psychology, I do suggest that really the only thing dreams demand is improving yourself and doing the best you can every single day – kind of like “the now improvement plan”. Kind of like keeping an eye on the divine while navigating the danger.
we make every day. He puts adults on pedestals to remind them of responsibility for all to see. He portrays adults as clowns and boorish and sometimes poor examples of how to live life (pretty much showing us at our worst with regard to choice-making).
 wrongs (intentional or unintentional wrongs). They represent the hope to fulfill the dreams we had that didn’t become reality. If we screw them up, we screw up our future. I imagine I could suggest they are the divine … and the danger.
You know what sucks? You have data, it appears like evidence of something, and it really isn’t, but people, desperate for proof, use it to make a decision. It sucks because (a) data and evidence feels like it should be easier to assess and (b) there will always be someone rushing to find proof to support what they believe rather than evidence of something we should know. As Tony Fish suggests: “Data can tell us from where we came, our models based on said data can suggest where we will go, but as yet, we cannot determine if we should.”
with our use of evidence is that we tend to associate causation with correlation when in reality it is simply coincidental.
 Using data effectively requires understanding how measures capture the actual state of the system and requires understanding the limitations of the specific measures we are using in their refection of the system as a whole. But that also means understanding the data itself. Let’s be clear. No business lacks data. If anything, they have more than they know what to do with. So, what any sane business does is compress their data into usable forms. In technology there are two types of compressions “lossless” and “lossy.” Lossless means nothing is lost or compromised in its compression – meaning it can be reconstructed in its entirety without missing anything or detail. Lossy is you may lose some data or some level of detail as a cost of compression. Data evidence, particularly in a typical business environment, is exactly the same. I would be remiss if I didn’t point out any compression relies on some bias that computers, as do people, seek patterns they expect or at least are representative of something similar to what they have seen. So, compression will arc away from the unexpected. Compression doesn’t encourage what I call 
 information is a leverage buffer. It protects against crisis and permits advancing to meet emergent opportunities. It actually buffers against uncertainty as well as unhealthy asymmetry (when disruption affects the system). I am not sure it needs to be said, but evidence is information. But to be effective that evidence information must shed delays in entering into feedback/decision-making loops (both positive and negative). I say this because no one person can ever hold all information and, currently, most knowledge/information banks are a bit unwieldy for true business agility. I would be remiss here if I didn’t point out that our unhealthy love of agility only encourages us to misuse evidence <put too high a confidence in on the wrong things too quickly>.
be available, but not available now. But good enough is available now. The best thing to do may actually not be by using the best thing. Ponder that. The reality is all decisions are flawed, nothing is guaranteed, and only truly shitty decisions are unfixable. And here is where ‘evidence that looks right’ rears its ugly head. Not all evidence is created equal, but we are more likely to use evidence as proof of best thing to do now and for later rather than evidence of ‘getting the game started.’ I admit. I don’t know if I am arguing most business people do not understand complexity or they simply do not know how to use evidence. My guess is it’s a little of both.
Let me begin by saying it’s kind of a tough world out there today for dreamers and dreaming living in a world where pragmatism, outcomes and measurement are put on the pedestal of Life.
 
Life, and reality, pushes and pulls us in many directions.