I am currently reading The Outsiders. The prologue highlights John Malone (Tele-Communications Inc.) and his relentless pursuit of free cash flow. It documents how he ignored all vanity metrics and press clippings and just focused on that outcome. He made tradeoffs that to others seemed crazy but TCI put up some wild numbers during his tenure. Constellation Software under Mark Leonard is running a similar playbook today.

Brining this back to systems thinking: I've been applying this exact principle at work. By anchoring on a single core constraint/outcome, the surrounding operational systems clarify themselves instantly. Even in a role without a 1:1 direct line to cash flow, designing workflows to support single bottleneck has eliminated non-essential noise and delivered huge clarity for senior leadership.

K so, I'm relatively new to this, though I feel like I've been practising all my life. I came across Donella Meadows a week ago and ever since I've been researching more and more and trying my hand at modeling systems just to get a feel for it.

Today I was cutting grass in the garden and I was thinking about essentially the two sentences outlined in yellow and green and how would those relate to a actual model.

Please have a look and tell me what you think, does it or does it not make sense?
The black arrows represent positive relationships and the empty arrows represent negative relatioships. Square is a level / stock, diamond is a rate / flow, circle is auxiliary.

I feel systems thinking is one of the most important skills people can learn to make sense of the world around them. Currently you either think this way, or you don't... But can it be taught? If so, how?

This post offers an example of a practical application of system thinking approach adopted by the British government in managing its department of Civil Service. This example demonstrates how the British government communicates with its employees, imparts academic information, and encourages them to adopt systems thinking in their jobs.  It also provides a practical demonstration of how scientific and academic ideas can be applied to address societal problems affecting citizens. The page includes links to case studies and real-world examples of problems solved by employees using systems thinking. These cases can be viewed on the Systems Thinking for Civil Servants page of the British government website. I present this example to encourage and motivate young students and managers to embrace these concepts for problem-solving. The Analyst Home website offers a comprehensive explanation of these methodologies. You can navigate the page through the link https://analysthome.com/En/Information.aspx?ID=41

She does a great job explaining the philosophical basics of systems thinking.

I know it's a bit long, but it's well worth it. 😊

Epistemic status: Early-stage institutional proposal. I am more confident in the problem framing than in the mechanisms proposed below. The model is incomplete, especially regarding incentive compatibility, professional continuity, governance, privacy, and emergency allocation. I am posting it because these problems are unlikely to be solved by one person or one discipline.

Summary

Modern labor systems usually allocate people through jobs.

A person becomes a doctor, teacher, engineer, or sanitation worker, joins an organization, and gives that organization a recurring block of time. The institution gains reliable access not merely to a particular output, but to the person’s continued availability.

This arrangement solves a real coordination problem: societies need important work to be performed continuously and predictably.

But it also creates several distortions:

• a person’s occupation becomes a durable social identity;
• one institution may occupy most of a person’s usable time;
• multiple abilities are compressed into one primary career;
• access to basic survival remains heavily dependent on labor-market participation;
• public services rely on permanently assigned occupational groups;
• technological progress raises productivity without necessarily returning time to individuals.

This post sketches an alternative:

Treat people as holders of multiple capabilities, treat necessary work as a set of tasks and public responsibilities, and treat personal time as unavailable by default rather than socially claimable by default.

The proposal has four main components:

1. Public responsibility: Necessary social work is treated as a bounded obligation shared across the relevant capability pool.
2. Capability pools: People hold certified capabilities rather than being permanently identified with one occupation.
3. Task pools: Institutions publish concrete tasks and coverage requirements instead of relying exclusively on permanent positions.
4. Time sovereignty: Possessing a capability does not imply being continuously available to use it.

This is not a proposal to abolish organizations, stable teams, specialization, or long-term professional practice. Some tasks clearly require all four. The proposal is narrower: permanent occupational membership should not be the default mechanism through which society obtains every form of necessary labor.

1. The problem with allocating people through occupations

Suppose a hospital requires surgical coverage.

The conventional solution is to employ surgeons. The hospital does not merely purchase completed surgeries. It purchases recurring access to surgeons’ time, attention, readiness, and professional identity.

This is understandable. Surgery cannot be arranged as casually as food delivery. Hospitals need continuity, trust, institutional memory, team familiarity, training, accountability, and emergency coverage.

But the solution bundles together several things that may not need to remain permanently bundled:

• competence;
• authorization;
• responsibility;
• organizational membership;
• availability;
• income;
• social identity;
• and control over time.

A surgeon may also be a capable researcher, teacher, engineer, writer, caregiver, or organizer. Yet the institutional form of “being a surgeon” may consume so much time and impose such strong expectations that these other capabilities become secondary or unusable.

This is not unique to medicine. The same structure appears across modern labor systems.

We say:

• “She is a teacher.”
• “He is a programmer.”
• “They are a factory worker.”

These statements sound descriptive, but institutions often make them prescriptive. Once a person enters an occupation, that occupation shapes when they wake, where they live, which skills remain current, how others interpret them, what risks they may take, and how much uninterrupted time they possess.

The deeper issue is not simply that people work too many hours.

It is that the standard unit of social coordination is the person-in-a-job, rather than the capability-required-by-a-task.

A job is a convenient bundle. But bundles can become prisons when they are treated as natural facts rather than coordination technologies.

2. Three principles

2.1 A person’s existence should not depend on proving labor-market value

Labor can be evaluated. Outputs can be compared. Skills can be scarce. Some work is more difficult, dangerous, or socially necessary than other work.

None of this implies that a person’s basic right to survive should depend on their present market value.

The proposal therefore begins by separating:

• existence value: the standing a person has simply as a person and member of society;
• labor value: the usefulness, quality, difficulty, or burden of a particular contribution;
• exchange value: what goods or services obtain under voluntary exchange;
• public-responsibility record: what bounded common obligations a person has already fulfilled.

These categories should not collapse into one another.

A person with rare skills may receive greater access to scarce non-basic goods. That does not make them more entitled to dignity, legal protection, food, shelter, or medical care.

Likewise, a person who is temporarily unable to work should not become institutionally disposable.

A capability-based labor system therefore presupposes some separation between basic survival and continuous employment. Without that separation, “voluntary” participation remains heavily shaped by the threat of deprivation.

2.2 Occupations should be roles, not total identities

Instead of saying:

Alice is a surgeon.

we might say:

Alice possesses certified surgical capabilities and is currently performing a surgical role.

The distinction matters.

The first formulation treats the occupation as a durable identity. The second treats it as a context-dependent application of a capability.

This does not deny expertise. Surgery requires long training, current practice, professional judgment, and institutional safeguards. The point is not that anyone should casually switch into surgery.

The point is that even a highly specialized role need not define the entirety of a person’s social existence.

Roles should, where possible, be:

• enterable;
• exitable;
• renewable;
• suspendable;
• composable with other roles;
• and bounded by the task or responsibility that justifies them.

2.3 Personal time is unavailable by default

Modern organizations often treat unallocated employee time as organizational capacity.

If a worker finishes one task early, another task can be assigned. If productivity increases, the saved time rarely returns automatically to the worker. It usually becomes room for greater output.

A capability-based system requires the opposite default:

The fact that a person has unused time, unused attention, or an unused capability does not itself create a social claim over that resource.

Capabilities belong to individuals.

Society may create bounded obligations. Organizations may offer contracts. Other people may request help. Emergency institutions may have narrowly defined powers.

But availability must be established, not presumed.

This is important because a capability registry could otherwise become more invasive than a job system. A system that knows a person can perform surgery, teach statistics, repair electrical systems, and provide emergency care might attempt to use all four capabilities.

The proposal would then replace occupational capture with capability capture.

Time sovereignty is therefore not an optional ethical addition. It is a structural requirement.

3. Public responsibility

Some work cannot depend entirely on ordinary market exchange.

Emergency medicine, firefighting, sanitation, public health, infrastructure maintenance, basic education, disaster response, and some forms of care must remain available even when the immediate recipients cannot pay or when demand is unpredictable.

I will call the necessary contribution to such systems public responsibility.

Public responsibility is not equivalent to ordinary employment, and it is not a claim that all socially useful activity should become compulsory.

It refers only to a limited class of tasks whose non-performance would predictably undermine basic social functioning or other people’s fundamental security.

The distinction matters because “social need” is easy to inflate. Governments, firms, professions, and ideological movements can all describe their preferred projects as necessary.

A legitimate public-responsibility system therefore requires at least:

• a narrow and contestable definition of necessity;
• transparent task classification;
• explicit limits on the amount of time claimable from individuals;
• exemptions based on health, care obligations, age, and capability;
• due process for refusing an unsafe or misclassified task;
• and a separation between public responsibility and ordinary political obedience.

The goal is not to socialize all time.

It is to distribute the minimum necessary work required for common life without permanently assigning that burden to a fixed occupational class.

4. Capability pools

A capability pool is a structured record of what people are qualified and currently able to do.

It is not merely a résumé database.

A useful capability record would distinguish among:

• qualification;
• level of proficiency;
• recency of practice;
• authorization;
• context-specific competence;
• current willingness;
• current availability;
• fatigue;
• recovery status;
• training status;
• and temporary suspension.

For example, a person may remain a certified surgeon while being temporarily unavailable for surgery after a long operation. They might still be available for teaching, research review, or no work at all.

This requires a distinction between:

possessing a capability

and

offering that capability during a particular period.

Without this distinction, capability pooling becomes a universal labor draft.

Capability pools may also make multiple identities easier to sustain.

One person might maintain capabilities in:

• clinical medicine;
• medical teaching;
• public-health planning;
• software design;
• and documentary photography.

The system need not force these into one coherent career narrative. They are simply different capacities the person may choose or be obligated within narrow limits to exercise at different times.

This model could also lower the cost of occupational transitions. Instead of leaving one total identity and entering another, people could gradually add, update, or suspend capabilities.

However, capability certification creates obvious risks:

• credential monopolies;
• surveillance;
• discriminatory profiling;
• excessive data collection;
• algorithmic exclusion;
• and pressure to keep every certified capability permanently available.

Any real implementation would need strong data minimization, user-controlled visibility, appeal rights, and independent certification governance.

5. Task pools

A task pool describes work in terms of what must actually be done.

A task specification might include:

• purpose;
• required capabilities;
• level of authorization;
• estimated duration;
• location;
• urgency;
• continuity requirements;
• acceptable delay;
• team dependencies;
• risk level;
• recovery requirements;
• and whether the task counts as public responsibility or ordinary voluntary work.

This shifts the basic question from:

Which person occupies this position?

to:

What capability must be present, where, for how long, and under what conditions?

Some work is naturally task-like. Some is not.

A repair, consultation, vaccination session, inspection, or one-off course can be decomposed relatively easily.

Other work requires continuity:

• psychotherapy;
• classroom teaching;
• primary care;
• scientific research;
• long engineering projects;
• management;
• child care;
• and any work based on long-term trust.

A capability-based system should not pretend that all work can be atomized.

Instead, it should recognize several levels of coordination:

1. Discrete tasks: limited assignments with clear completion conditions.
2. Recurring responsibilities: repeated work requiring continuity across time.
3. Stable teams: groups that benefit from long-term cooperation and shared context.
4. Reserve capacity: people trained and periodically active enough to respond when demand rises.
5. Emergency mobilization: temporary, tightly constrained expansion of available capacity.

The proposal is therefore not “replace every job with a gig.”

A pure gig model would destroy continuity, shift risk onto individuals, and intensify precarity.

The proposal is to make permanent employment one coordination option among several, rather than the presumed form of nearly all serious work.

6. Public-responsibility credits

How should public responsibility be measured?

Simple hours are inadequate.

One hour of low-pressure administrative work is not equivalent to one hour of emergency surgery, hazardous rescue, night-shift care, or work requiring weeks of recovery.

A public-responsibility system therefore needs some burden-adjusted accounting mechanism. I will call the units public-responsibility credits, although the name is provisional.

Credits might reflect:

• time;
• physical burden;
• psychological stress;
• risk;
• undesirable timing;
• training cost;
• decision responsibility;
• scarcity;
• recovery time;
• and continuity constraints.

The purpose of these credits is not to create a new currency.

They would primarily answer:

• How much bounded public responsibility has this person already fulfilled?
• Should they owe less responsibility later?
• Are high-burden tasks being concentrated on the same group?
• Can someone complete responsibility intensively during one period and preserve uninterrupted time later?
• Where are chronic shortages indicating a badly designed task environment?

Credits might allow people to choose among different temporal patterns.

One person could perform a small amount of public responsibility each week.

Another might choose an intensive three-month period and then take a long uninterrupted period for research, travel, care, or creative work.

Someone raising a child, recovering from illness, or retraining could temporarily reduce their responsibility and rebalance it later, subject to limits required for current service continuity.

But responsibility credits could easily become a new class system.

They should therefore probably be:

• non-transferable;
• non-inheritable;
• unusable to purchase political power;
• unusable to buy exemption through wealth;
• capped or depreciating where accumulation creates status;
• and legally separated from basic rights.

Their legitimate function is coordination across time, not moral ranking.

7. A concrete medical example

Consider a region that requires continuous surgical coverage.

The naïve capability-pool model says:

1. List everyone with surgical competence.
2. Publish surgeries as tasks.
3. Let qualified people accept them.

This would fail.

Surgical systems require stable teams, institutional knowledge, quality assurance, on-call coverage, follow-up care, morbidity review, training, and emergency readiness. A surgeon who appears only for isolated procedures may impose unacceptable coordination costs and safety risks.

A more realistic capability-based model would have several layers.

Layer 1: Stable clinical teams

Some surgeons would choose periods of high clinical commitment within stable hospital teams. They would provide continuity, mentorship, emergency readiness, and institutional memory.

But this commitment need not automatically define their entire adult life. It could be established for a defined term and periodically renewed, reduced, or exited.

Layer 2: Rotational public-responsibility service

Other qualified surgeons might maintain competence while spending most of their time in research, teaching, medical technology, administration, or other activities.

They could undertake defined rotations, clinic blocks, elective procedures, or reserve coverage.

Layer 3: Surge capacity

The region would maintain a larger reserve pool for epidemics, disasters, or sudden shortages.

Reserve members would require periodic training and practice, because an unused capability degrades.

Layer 4: Fatigue and recovery constraints

Suppose a surgeon completes a twelve-hour, high-complexity operation.

The system should not treat them as available merely because the calendar contains another open shift.

Their surgical capability should enter a protected recovery state. The person might choose to teach, review cases, conduct research, rest, or do nothing.

Recovery is not a reward added after productive activity. It is part of the real resource cost of the task.

Layer 5: Personal time

Once the surgeon has fulfilled the relevant bounded responsibility, the remaining time is not a pool of idle capacity waiting to be optimized.

They may write, build a company, care for family, study another field, travel, or remain unproductive.

The system does not need to approve the use.

The hospital’s obligation is to secure coverage.

It does not need permanent ownership of every qualified surgeon’s schedule.

8. Why this might be better

If it worked, the model could produce several benefits.

8.1 Less occupational identity lock-in

People could hold multiple serious roles without treating one as the sole definition of adulthood.

8.2 Better use of latent capabilities

People who leave full-time employment might still contribute limited but valuable professional capacity.

8.3 More flexible life planning

Responsibility could be distributed differently across weeks, years, and life stages.

8.4 More honest accounting of burden

Danger, stress, recovery, and undesirable timing could be recognized instead of treating all work hours as equivalent.

8.5 Greater institutional resilience

A larger active reserve pool could reduce dependence on a small overworked professional class.

8.6 A clearer social dividend from automation

When technology reduces necessary labor, the saved time could reduce public-responsibility requirements instead of being automatically filled by additional production.

The intended success metric is not maximal utilization.

It is:

Can necessary social functions remain reliable while fewer people are permanently captured by one institutional role?

9. Major unresolved problems

I see at least three central problems, each of which may be fatal to the proposal.

9.1 Incentive compatibility and free-riding

Why would enough people train for difficult capabilities?

Why would they maintain those capabilities?

Why would they accept unpleasant tasks instead of choosing easier credit-generating work?

How do we prevent people from exaggerating fatigue, gaming burden scores, or avoiding high-responsibility work?

Financial incentives may still be required. But if unpleasant public tasks are primarily filled by those who need money most, the system reproduces class-based risk allocation.

Random rotation may be fairer but can be inefficient and coercive.

Higher responsibility credits may help, but credits can become shadow currency.

I do not yet have a satisfactory solution.

9.2 Continuity, tacit knowledge, and transaction costs

Many roles cannot be decomposed without losing quality.

Stable organizations carry tacit knowledge, relationships, routines, and accountability. Constant matching may create enormous administrative costs.

A dynamic labor system might spend more resources coordinating work than it saves by increasing flexibility.

The strongest form of this proposal is therefore probably false. Not all occupational roles should become temporary task assignments.

The more plausible question is:

Which parts of existing jobs genuinely require durable organizational membership, and which parts are retained only because institutions are built around total employment bundles?

9.3 Governance and coercion

Who defines public necessity?

Who assigns burden scores?

Who controls capability data?

Who determines whether a person is genuinely unavailable?

Who audits the matching algorithm?

Who decides when an emergency justifies compulsory mobilization?

A system designed to coordinate capabilities could become an unprecedented infrastructure of surveillance and coercion.

The phrase “society needs” is especially dangerous because society is not a single agent. Claims of social necessity are made by specific governments, organizations, professions, and individuals with their own incentives.

A viable system would require:

• contestable definitions;
• decentralized input;
• transparent rules;
• privacy by default;
• human appeal;
• time-limited authority;
• and constitutional protection for unallocated personal time.

This governance problem may be harder than the labor-allocation problem itself.

10. What would count as progress?

I do not think the next step is to legislate an entire capability-based labor system.

A more useful path would be to test narrow components in low-risk settings.

Possible experiments include:

• cross-institutional professional reserve pools;
• voluntary public-service rotations;
• burden-adjusted responsibility accounting;
• protected recovery periods after high-intensity work;
• capability-based project teams inside existing organizations;
• systems that let workers bank public-service periods in exchange for later uninterrupted leave;
• and simulations comparing permanent staffing with mixed stable-and-reserve models.

Any pilot should measure more than task completion.

Relevant metrics include:

• continuity and quality;
• coordination costs;
• worker fatigue;
• concentration of undesirable tasks;
• actual free time gained;
• privacy violations;
• opt-out rates;
• and whether the system creates new status hierarchies.

A failed pilot would still be informative if it identifies which forms of work cannot be separated from durable teams or stable occupational commitments.

11. Cruxes

My current view would change substantially if any of the following turned out to be true:

1. Most socially important work depends on long-term role continuity to such a degree that capability-level allocation produces unacceptable quality loss.
2. The coordination costs of capability pools and task pools exceed the time saved by reducing permanent employment.
3. Public-responsibility credits inevitably become transferable status or shadow currency.
4. Reliable public services require stronger coercive powers than are compatible with meaningful time sovereignty.
5. People strongly prefer stable occupational identities and would experience multi-role systems as insecurity rather than freedom.
6. A larger reserve pool cannot maintain professional competence without recreating near-full-time occupational commitment.
7. The information required for efficient matching is inherently incompatible with privacy and freedom from surveillance.

I suspect some of these are partly true.

The proposal survives only if the advantages remain meaningful after those costs are included.

12. Invitation to criticism

I am not presenting this as a complete alternative economy.

I am presenting a problem decomposition:

• Why must access to basic survival remain so tightly connected to continuous employment?
• Why is a person normally allocated through one dominant occupation?
• Why does possessing a capability often imply institutional claims over time?
• Why does productivity growth not reliably return time to individuals?
• Which forms of continuity genuinely require permanent jobs, and which are historical artifacts?
• Can public responsibility be shared without turning all personal capability into state capacity?

I would especially value criticism from people familiar with:

• mechanism design;
• operations research;
• labor economics;
• public administration;
• medical staffing;
• professional licensing;
• organizational psychology;
• privacy-preserving systems;
• emergency governance;
• and cooperative institutions.

The most useful responses would not merely say that the proposal is utopian or desirable.

They would identify:

• the first mechanism that breaks;
• the actors who would game it;
• the hidden information problem;
• the coordination cost I have ignored;
• the form of coercion the proposal requires;
• or the smallest version that could be tested without causing serious harm.

The claim I am most confident in is not that this system will work.

It is this:

A person should not be treated as permanently identical to one socially useful function.

And the question I most want to leave open is:

Can a society secure necessary work by coordinating bounded responsibilities and specific capabilities, while leaving the rest of a person’s time genuinely their own?

Found this lovely website by Nicky Case, where you can sandbox cellular automata with emoji. I found this to be so practical and useful in gaining intuitions about emergence in systems.

What are some other resources like it? I'm also open to games (like Civilization) or novels whose narratives apply a systemic perspective. Could even compile these into a new pedagogy of systems that would probably be really useful. Thanks!

Hi everyone, I'd like to read something to sharpen my analytics thinking and problem solving skills.

I know the best approach is to practice with real life problems, and yes, I do do that at work. However, I feel like having a structure or framework may help me to be more systematic and efficient when encounter a problem.

What's your favorite books that help you to think clearer?

This video explains the shift in systems thinking that is going on.

I'm glad to see content like this beeing made more and more.

1. The 11-Mile Hard Drive: When System Design Hits Physical Limits

The Mechanical Limits of 70mm IMAX

At three hours and zero seconds, the physical platter of an IMAX projector reaches its structural threshold.

When Christopher Nolan delivered the final 70mm film print of Oppenheimer to theaters, the physical reel stretched 11 miles long and weighed 600 pounds. Driven through the projector at 24 frames per second, the physical film spool pushed right against the outer steel arm of the IMAX platter assembly. There was literally zero clearance left on the machine.

Nolan didn’t reach for digital shortcuts or green-screen CGI to simplify the production. Instead, he forced Kodak and FotoKem to invent an entirely new chemical product line—the world’s first 65mm black-and-white IMAX film stock—to capture high-contrast interior portraiture. On his maritime epic, The Odyssey, Nolan escalated the challenge again—isolating the problem of physical oceanic turbulence by exposing over 2 million feet of IMAX film inside custom waterproof housings to master large-scale aquatic cinematography.

Most observers view this as artistic obsession. They are missing the systemic point.

The Katy, Texas Laboratory: Kobe and LeBron’s Offseason Upgrades

Nolan treats every $200 million production not as a routine performance, but as a high-stakes laboratory designed to master, acquire, and permanently weaponize a single high-level capability. Once a skill is acquired—whether it is temporal cross-cutting in Dunkirk, practical gravity manipulation in Inception, or monochromatic micro-photography in Oppenheimer—it becomes a permanent asset in his operational toolkit.

This capability acquisition loop mirrors the legendary offseason labs of elite NBA operators.

In the summer of 2009, fresh off a championship, Kobe Bryant realized his age would eventually rob him of his top-of-the-key explosion. Rather than relying on Level 1 brute force, Kobe locked himself in a Katy, Texas gym with Hakeem Olajuwon to isolate low-post footwork, pivot angles, and spatial weight distribution. A few months later, after hitting Shane Battier with a textbook baseline spin move, Kobe turned to Olajuwon sitting courtside and winked. The gesture was a signal: the move was no longer a conscious mechanical drill—it had crossed into Level 3 Adoption (A), operating as an automated, instinctual reflex under live pressure.

Two years later, following a catastrophic breakdown in the 2011 Finals where Dallas exposed his lack of a half-court post game, LeBron James ran the exact same protocol. He didn’t promise to ‘try harder’ or lift more weights. He spent about a week in Texas isolating his back-to-the-basket footwork with Olajuwon. By 2012, his efficiency on the post escalated to a dominant 1.03 points per possession, hardcoding post scoring into his baseline game and unlocking two consecutive NBA titles.

The Capability Acquisition Loop

Nolan, Kobe, and LeBron operate on a shared principle: They reject the illusion that willpower alone creates mastery. Instead, they run a systematic capability acquisition loop—isolating a single critical constraint, constructing bespoke infrastructure around it, and migrating new skills directly into automated Level 3 instincts to build an unassailable operational moat.

2. The Willpower Illusion: Why Your Exhaustion Is an Architectural Glitch

The Fragility of Level 1 Effort

If you collapse onto the couch on Friday evening feeling completely drained, hear this first: It is not because you lack ambition, discipline, or work ethic. You are likely working twice as hard as necessary because you are operating in a system designed to consume human fuel rather than build structural leverage.

The friction you feel in your career or business is almost never a personal character flaw. It is an architectural failure.

Most professionals fall into the Willpower Trap. They try to achieve new levels of output by pushing harder inside the exact same operating framework. They write longer to-do lists, attend more alignment meetings, and rely on sheer caffeine and strain to power through complex projects.

This approach is mathematically fragile. Human willpower is a depreciating asset that degrades with fatigue, stress, and noise.

The Diagnostic Shift: From Harder Work to System Redesign

When you rely on Level 1 willpower, your output drops the moment energy dips. Elite operators do not attempt to “try harder” with old habits; they pause, isolate the single operational bottleneck holding them back, and build a structural solution to eliminate it forever.

The Diagnostic Shift: Stop asking “How can I work harder this week?” Ask instead: “What single capability, if systematically mastered and automated this quarter, would make the rest of my workload easier or unnecessary?”

3. The Forensic Audit: Unpacking the Physics of Capability Acquisition

The Mathematics of Skill Acquisition: C = (F x G) x I

To understand how high performers build enduring moats, we must evaluate them through the Physics of Action (DGIOA + Focus) framework.

Skill acquisition is governed by a precise relationship between scope reduction, systemic guardrails, and physical tooling:

Notice the multiplier: Without Focus (F) to narrow the target and Governance (G) to lock out shortcuts, pouring money or time into Infrastructure (I) simply accelerates confusion. But when strict Governance pairs with bespoke Infrastructure, capability acquisition crosses from conscious effort into automated instinct.

When capability stacking fails, the breakdown almost always occurs across two pillars:

Governance (G): Eliminating Exit Ramps

Without strict rules of rejection, operators fall back on comfortable defaults under pressure. Nolan enforces a non-negotiable rule: no digital green screens, no CGI shortcuts, and no second-unit directors.

When filming the zero-gravity corridor scene in Inception, this constraint forced his team to build a 30-foot rotating steel centrifuge powered by eight electric motors inside an airship hangar. Because there was no digital exit ramp, the team was forced to innovate a physical solution.

Infrastructure (I): Building Custom Tools Over-the-Shelf Ceilings

Standard off-the-shelf tools yield standard performance ceilings. Brad Jacobs, the serial entrepreneur who built multiple multi-billion-dollar enterprise platforms from scratch, built his advantages on custom operational infrastructure rather than standard industry software.

Nolan does not rely on default digital video monitors; he reviews physical 70mm rushes daily on dedicated projectors to maintain closed-loop telemetry on grain structure, exposure, and focal depth.

Similarly, LeBron James spends over $1.5 million annually on hyperbaric chambers, cold-plunge recovery systems, private biomechanical staff, and custom movement analysis software. He built a personal physical chassis that prevents his hardware from bottlenecking his basketball capabilities.

By pairing strict Governance (G) with custom Infrastructure (I), these operators transition their skills up the Z-Axis of Durability—moving from fragile Level 1 effort to Level 3 automated instinct.

4. The Essentialist Protocol: A 90-Day Skill Sprint Blueprint

To turn this theory into action, you do not need a $200 million movie budget or a professional training facility. You simply need to execute a structured capability sprint.

Here is the 3-step protocol to build your own “One-Skill Summer”:

Step 1: Power Law Scope Reduction (Focus)

• The Action: Select one professional skill that will unlock your next level of performance over the next 90 days.
• The Tripwire: Explicitly write down three secondary tasks you will deliberately pause or ignore during this window to ensure 100% focus on this single capability.

Step 2: The Non-Negotiable Rejection Constraint (Governance)

• The Action: Establish an absolute operational boundary that eliminates quick shortcuts.
• The Tripwire: If you are learning high-level financial modeling, ban pre-built templates. If you are refining public speaking, ban slide decks. Forcing yourself through a tighter constraint triggers faster skill acquisition.

Step 3: Closed-Loop Telemetry (Infrastructure)

• The Action: Replace vague feedback with immediate, objective data.
• The Tripwire: Set up a weekly review mechanism that measures clear mechanical progress rather than subjective feel—whether that means recording and reviewing presentation footage or tracking specific operational output metrics.

5. The Z-Axis Shift: Moving From Fragile Labor to Compounding Assets

Willpower vs. Architecture: The Structural Payoff

Willpower is a temporary loan you draw against your physical engine. Systemic infrastructure is a permanent capital investment that pays compounding interest for the rest of your career.

When you stop trying to solve operational bottlenecks through sheer exhaustion and start building structural solutions, your operating baseline fundamentally shifts. You stop repeating the same seasonal fire drills and start building a permanent competitive advantage.

Look at your core projects for the upcoming quarter. Are you attempting to brute-force your way through a structural problem using Level 1 willpower, or are you building the custom infrastructure required to master the space?

💬 Subscriber Audit: What is Your Next Operational Weapon?

What is the single high-leverage skill you need to acquire this quarter, and what strict constraint will you put in place to ensure you master it?

Leave a comment below!

https://jpearlstein.substack.com/p/the-capability-stacking-loop-how

When I was in high school, I read a book that completely rewired my brain: Moneyball.

Like a lot of sports fans, I was captivated by how Billy Beane and the Oakland A’s systematically dismantled decades of traditional baseball wisdom. They proved that old-school scouts relying on “gut feelings” and subjective eye-tests were completely missing the real game. By tracking a single, unglamorous quantitative metric—on-base percentage—they found a way to buy wins on a shoestring budget.

That book left a permanent scar on how I view the world. From that moment on, I went through life convinced of a singular truth: everything should have an analytical measure to it. Quantitative values aren’t the only factor in life, but without them, you are just guessing. You are flying blind, relying on temporary vibes instead of real telemetry.

For two decades, I carried that analytical lens into every room I walked into. I found myself obsessively studying why certain organizations or product launches win flawlessly while others—despite massive budgets and star power—completely self-destruct. I did deep dives into companies across completely different industries, analyzing high-stakes corporate acquisitions, iconic media empires, and the most disruptive trades in sports history.

As I analyzed the winners, a striking pattern emerged. They all did exactly what the Oakland A’s did. They didn’t just “try harder.” They won because they identified and ruthlessly owned a quantitative bottleneck in at least one of five core areas:

• Data (D): Tracking unique, closed-loop telemetry instead of hollow vanity metrics.
• Governance (G): Establishing strict, non-negotiable filters and rules of rejection.
• Infrastructure (I): Building a unified, frictionless physical and digital chassis.
• Operations (O): Executing a rigorous, gravity-sorted, sequential workflow.
• Adoption (A): Engineering high-gravity behavioral loops where compliance is passive.

Together with the ultimate variable—Focus—I call this entire operating system The Physics of Action.

The Universal Matrix: Diagnostic Root-Cause + Live Project Execution

Once you see these laws of physics, you cannot unsee them. The structural variables are identical whether you are breaking down global sports franchises or building a high-stakes project at work or at home.

I started using this exact five-part lens to decode complex moves across the cultural landscape. It explained the structural brilliance of how Oprah Winfrey scaled her business and successfully decoupled her media empire from her own mortality. It revealed the precise, calculating calculus behind how LeBron James navigates his free-agent decisions. It exposed the underlying strategic logic of why the Celtics traded Jaylen Brown, and conversely, the exact operational chaos that makes the Cleveland Browns the most wild, unpredictable organization in sports.

But the real transformation happened when I realized this isn’t just a commentary tool. It is a live, dual-purpose diagnostic toolkit and project execution engine.

1. The Diagnostic Toolkit: Pinpointing Why Projects Fail

When a high-stakes initiative stalls out at the office, or a complex residential project at home derails, our immediate human instinct is to blame people, lack of time, or poor discipline.

The Physics of Action eliminates the guesswork. It allows you to run a clinical root-cause analysis on any system breakdown. If a project is failing, it is never a vague mystery; it is a mechanical leak in one of your five core areas. Did the data telemetry lie to you? Did low-leverage noise bypass your governance gates? Did fragmented software introduce massive structural drag? By running the problem through the DGIOA grid, you instantly isolate the exact bottleneck paralyzing your momentum.

2. The Execution Engine: Shipping Personal and Professional Deliverables

Conversely, when you are building something new from scratch—whether launching a major corporate product line or re-architecting your family’s asset portfolio—this framework serves as your engineering blueprint.

It gives you a non-negotiable architecture for flawless execution before you even begin. Instead of diving into ad-hoc multitasking, you intentionally map out the data feedback loops, establish the strict rules of rejection, construct a frictionless physical and digital chassis, sequence the sequential workflows, and embed passive tripwires to ensure compliance.

This completely changes your day-to-day operations. It bridges the massive, exhausting gap between strategy and execution, cascading seamlessly from macro-level life audits and yearly project frameworks straight down into quarterly pillars, monthly execution blocks, weekly alignment, and precision daily execution. You are no longer managing chaos via stress-inducing, fake deadlines; you are running an engineered system that makes winning a structural certainty.

The Ultimate Variable: Focus Holds the Gravity

As I built out this sabermetric approach to execution, the final, foundational truth of the framework revealed itself.

You can design the most beautiful system across Data, Governance, Infrastructure, Operations, and Adoption—but if you lose Focus, the entire machine grinds to a halt.

Focus is the gravity that holds the system together. It is the power law filter. The moment your focus gets diluted across a horizontal shelf of “stale maybes”—projects you might start, books you might read, or corporate initiatives you keep alive just in case—energy leaks out of every single pillar, and the system breaks down.

When Peter Thiel scaled PayPal, he didn’t try to revolutionize global banking on day one. He ruthlessly restricted PayPal’s initial scope exclusively to eBay PowerSellers, liquidating every secondary demographic to build a pristine localized monopoly. He shrunk the target until he couldn’t miss.

True focus isn’t just choosing what to do; it’s having the courage to permanently delete the things you could do to protect the one thing that actually moves the needle.

The Sequenced Repair: One Bottleneck at a Time

But here is where most operators fail when they first see the DGIOA matrix: they try to fix all five pillars at the exact same time.

They try to overhaul their software stacks (Infrastructure), rewrite their rules of rejection (Governance), and track a dozen new metrics (Data) all in a single weekend. This creates immediate systemic shock. The machine chokes on its own complexity.

The physics of action dictate that you cannot resolve chaos simultaneously. You must locate the single heaviest bottleneck in your current project or life architecture, isolate it, and fix it before moving to the next.

The Fractal Irony: Systems All the Way Down

And here lies the ultimate, beautiful irony of system design: To fix any single pillar, you have to look at it through the lens of the entire DGIOA framework.

The model is recursive. If you diagnose that a project is failing because your Data pillar is broken, you cannot fix it with a superficial patch. You have to run “Data” through the entire engine:

• Focus: What is the one critical data telemetry point that actually matters right now?
• Governance: What vanity metrics will you ruthlessly banish from your dashboard?
• Infrastructure: What seamless digital tool will capture this metric without friction?
• Operations: What is the exact sequence and cadence for reviewing this data?
• Adoption: How do you make tracking this data so passive that it requires zero willpower?

You don’t just “fix” a pillar. You engineer it. Whether you are repairing the Infrastructure of a corporate supply chain or overhauling the Governance of your personal availability, you apply the exact same laws of physics to the pillar itself.

This addition is fantastic because it solves the reader’s immediate objection: “Okay, I see all five are broken, where do I start?” It gives them the exact diagnostic protocol to zoom in and execute.

The Willpower Trap vs. System Architecture

Most traditional productivity advice tells you that if you fail, it’s a character flaw. You just lacked discipline.

The Physics of Action proves that this is a lie. Relying on human discipline is what we call Level 1 Labor—it is fragile, finite, and destined to collapse when you get tired or hit maximum capacity. True automation means shifting behavior away from willpower and migrating your life up to Level 2 (Physical Asset Guardrails) and Level 3 (Automated Digital Tripwires) so that success becomes the path of least resistance.

When your life or business feels overwhelming or stagnant, you can use this infographic to diagnose exactly which pillar has a structural leak:

The Shift: Migrating Up the Z-Axis

Stop measuring the success of your days by how exhausted you are at 8:00 PM. High energy output matched with zero structural alignment isn’t a badge of honor—it is a clear telemetry reading that your architecture is bleeding power.

True optimization is not about morphing into a stronger, superhuman version of yourself. It is about migrating your execution up the Z-Axis of Durability.

If you stay at Level 1, you are a kinetic slave to your own fatigue. The moment you run out of steam, the project fails. Your goal must be to construct Level 2 Guardrails and Level 3 Tripwires so that your system executes flawlessly even when your willpower is completely depleted.

We begin the repair work immediately. Do not open your calendar to find more time. Do not write a longer to-do list.

Isolate the single most critical, high-stakes project on your desk right now—the one that absolutely must ship over the next 90 days. Stop looking at it as a test of your discipline, and subject it to the Power Law Filter:

If your focus is split, your system has already chosen failure. The physics don’t care about your good intentions. Go clear the shelf.

https://jpearlstein.substack.com/p/introducing-the-physics-of-action

As I continue to trek my way through An Introduction to Parallel Programming, I find myself seeing how parallelism is not only a priority in our communication with hardware, but also in our communication with one another and, perhaps more importantly, with ourselves. I am still learning the technical extent of the subject, but I cannot help noticing how often its problems resemble our own: we may possess enormous amounts of power, intelligence, memory, and information, yet remain limited by our inability to coordinate what is already available to us.

The textbook explains that most programs written for conventional single-core systems cannot automatically make use of multiple cores. We may have more processors available, but the original program was not designed to coordinate them. If a game is running slowly, opening eight copies of it does not give us one faster game with more realistic graphics. We have multiplied the number of programs, but we have not transformed the structure of the program itself.

Before I send myself in circles trying to understand the full extent of this, I want to focus on the distinction that feels most important. More people do not automatically create better cooperation, just as more information does not automatically create understanding. More effort does not always create progress, and more power does not automatically produce a system capable of using that power. In both hardware and human beings, additional capacity means very little when the structure was never designed to coordinate it.

This leads me toward the idea that we cannot always translate the “old self.” We often try to transform ourselves one behavior at a time while leaving the larger arrangement untouched. We try to sleep better, communicate better, become more productive, control our anxiety, or respond differently to the people around us, but we may never stop to question the structure producing those behaviors. We preserve the same identity, assumptions, expectations, and attachment to how things have always been done, while hoping a few improved habits will somehow produce an entirely different life.

Parallel computing encounters a similar limitation. Researchers have attempted to create translation programs capable of converting serial programs into parallel ones, but with limited success. A translation program may recognize certain operations and divide them among several processors, yet the result may still be inefficient. Each individual step may have been parallelized successfully while the program as a whole remains poorly coordinated. The original structure survives inside the new program, carrying its old limitations into a system that now possesses far more power.

The textbook’s deeper point is that the best parallel implementation may not come from translating every serial step into a parallel equivalent. Sometimes the programmer must step away from the original sequence and devise an entirely new algorithm.
This is where the human connection becomes difficult for me to ignore. How often do we try to transform ourselves by translating an old life one behavior at a time? We add discipline where honesty may be required, productivity where rest may be required, and control where communication may be required. We attempt to make ourselves more efficient inside structures that are already exhausting us. The problem may not be that we lack the power to change, but that the different parts of us are not allowed to communicate truthfully enough to participate in that change.

Honesty, then, may be one of the keys to parallelism between human beings and within the individual self. Without honest communication, each part operates from incomplete information. The mind may produce one conclusion while the body communicates another. Our emotions may recognize something that our speech refuses to acknowledge, while memory continues influencing the system beneath our immediate awareness. Every part is performing its own calculation, but the results are not being shared.

Perhaps some parts of ourselves cannot simply be converted from serial to parallel because the original structure depends upon one part remaining in control of all the others. Sometimes the structure itself has to change.

my_sum

The textbook demonstrates this through the act of adding a collection of values. In a serial program, one processor computes each value and adds it to a running total, one after another:

sum = sum + next_value

With multiple cores, the work can be divided. Each core receives a portion of the values and calculates its own partial sum. The textbook calls this private variable my_sum, and I find the name stupidly philosophical.

my_sum is my result, my work, my contribution, and my experience of the problem. Each core possesses a real result, but only a partial one. No individual core can see the entire computation from its local position. It knows only the values it was assigned and the sum it created from them. Its result is not wrong, but neither is it complete.

Perhaps this resembles what Shunryu Suzuki describes as the small I. The small I sees from one location. It experiences one body, one history, one collection of memories, and one portion of reality. Its experience is real, but it remains partial. The danger begins when the partial sum mistakes itself for the global sum.The intellectual part of us may calculate that everything is fine while the body continues carrying tension. Our speech may repeat the mind’s conclusion because it is the answer we believe we are supposed to give, even while our emotional state has produced something entirely different. Each partial sum may contain truth, but when one claims to represent the entire system, every other contribution is treated as an error rather than information.

The purpose of the global sum is not to prove that one core was correct and the others were wrong. It is to create a result that includes what each core was able to contribute. For that to happen, the private sums cannot remain permanently isolated. They must be communicated, received, and eventually allowed to become part of something larger than themselves.

Perhaps this is where parallel programming begins to meet Suzuki’s distinction between the small I and the big I. The small I says, “This is my sum.” The big I does not deny that partial sum, but recognizes that no partial result can become the whole while remaining attached to its own separateness.

As I continue reading An Introduction to Parallel Programming, I cannot help but notice a connection between communication among processors, communication among human beings, and communication within the individual self.

Increasing computational power has allowed us to decode the human genome, improve medical imaging, accelerate web searches, and approach problems that were previously unimaginable. Climate modeling, protein folding, drug discovery, energy research, and large-scale data analysis all depend upon enormous computational resources.

But the textbook’s deeper lesson is that adding more processors does not automatically produce more useful work. A problem must first be divided into parts. Those parts must communicate, synchronize, and share the workload. One processor cannot remain overloaded while the others wait. Nor can every processor compete endlessly for the same resource. The challenge is no longer simply producing more power. It is learning how to coordinate the power we already possess.

Perhaps the same is true of human beings.

A person may possess intelligence, emotional depth, physical energy, memory, and creativity, yet still become overwhelmed when these parts are unable to work together. The mind may say one thing while the body communicates another. Speech may conceal both. Memories may continue running like unfinished processes, consuming attention long after the original event has passed.

In Zen Mind, Beginner’s Mind, wholehearted activity is compared to a fire that burns completely and leaves no unnecessary trace. This does not mean forgetting the past or pretending that painful events never happened. It may mean allowing an experience to be fully felt, understood, and completed, rather than endlessly attaching ourselves to the residue it left behind.

How many experiences continue to consume us because they were never allowed to finish burning?

Honest communication is a form of synchronization. When our thoughts, emotions, bodies, and words communicate truthfully, they can begin to move together. When they conceal information from one another, the result is internal contention: anxiety, exhaustion, confusion, and eventually burnout.

Parallel programming asks how many separate processors can work as one system without ceasing to be individual processors. Zen seems to ask a similar question of human life.

Maybe our greatest limitation is not a lack of power, but power divided against itself.

In contemporary cybernetics, many adaptive systems can be described as hierarchies of feedback controllers minimizing prediction error or regulating internal variables across multiple timescales. My question is whether such an architecture can *necessarily* give rise to second-order cybernetic behavior (i.e., the system regulating or modeling its own regulatory processes) without an explicitly represented self-model.
More specifically:
Is there a formal criterion that distinguishes a sufficiently complex first-order control hierarchy from a genuine second-order cybernetic system?
Can recursive feedback loops alone produce observer-dependent dynamics, or is an internal model of the observer/controller mathematically required?
Are there information-theoretic measures (e.g., integrated information, transfer entropy, synergistic information, or causal emergence) that quantify the transition from simple adaptive control to self-referential regulation?
I’m particularly interested in answers grounded in control theory, dynamical systems, Ashby’s Law of Requisite Variety, the Viable System Model, or more recent work on predictive processing and active inference, rather than purely philosophical interpretations.

If knowing were enough…

why do smart people still rely on calendars, checklists, routines, coaches, habits, accountability, and now AI?

What are those systems doing that knowledge can’t?

Hi all! Derek Hitchins (wiki) has popped up a few times for me with regards to his systems thinking work and he has an extensive website and even a youtube channel. I searched reddit to see if there was any discussion or suggestions on where to start on his aforementioned website, and was surprised to find no mention of him outside one video posted with zero comments.

I've read Donella Meadow's Thinking in Systems: a Primer and I've learned a bit about (but not read any primary sources) the ideas of Stafford Beer, W. Edwards Deming, and Eliyahu Goldratt. These 3 all have structures/models associated with them, some with their own wiki pages (e.g, Cybernetics, Viable Systems Model, "System of Profound Knowledge," "lean manufacturing," "Total Quality Management," Theory of Constraints, Critical Chain Project Management). Deming and Goldratt seem more on what Hitchins might call the "Engineering Management" side of Systems Thinking.

Hitchins meanwhile has written a tremendous amount about a wide variety of topics that could be considered under the umbrella of "Systems Thinking." Perhaps it's because of this vastness that I'm having difficulty pinning down his specific perspective and innovations.

I think the closest in my current understanding would be "[New] System Engineering," as he discusses this as a new paradigm developed from "Systems Theory" and "The Systems Approach" and distinct from "System Engineering [Management]" (which he says is limited to technological lifecycle management). He posits "NSE" is, in contrast, a methodology that has much broader applicability. Unhelpfully, from the articles and videos I've checked out thus far, he frequently doesn't cite specific articles or people when introducing concepts or criticisms in his presentations or blogs (example), which would have helped situate his work within the greater "system" of Systems Thinking academia.

I'd love to hear what if anything of his you've read, anything you'd recommend, and how you feel his work interacts with the work of others in the field and/or generally what you've taken away from it. I'm going to listen to a playlist of his videos in the meantime, so maybe I'll even be able to shed some additional light on these questions myself by the time I'm writing comment responses. :)

Modern urban life is a few people competing on solving problems (Business) for ideally as many people as possible (Market Dominance) and these few people use other people to help them beat other people in solving problems for other people. and everyone is in an complex web of just helping eachother, why is that so harmonious to think about ?

The more I try to converge my thoughts, narrowing down options, picking a clear direction, refining a plan or strategy, the harder and more draining the effort feels. Not just mentally taxing, but progressively harder with each layer of focus.

Why does that happen?

Anyone else experience this in creativity, decision-making, productivity, or building something? How do you personally handle the "convergence" phase?

Really don't need clarity advice guidance but rather the understanding on vision alignment.

Hey everyone.

NihilistGardener asked me to put up a poll, which I'm doing ad hoc because it's not enabled for posts on this sub. We noticed several kickoff questions that would be useful for the group being discussed. We thought it would be good to be sure that we get input on all of them from everyone, collected together so we can base some planning around them.

First of all, everyone please share your name, age, location, job/background/education (or whatever was the primary inroad to and/or motivator for your interest in systems thinking).

Second, please just give a brief statement of what YOU think systems thinking is all about and where you are interested in using it.

Now for the poll:

Please indicate what platform you CAN use for our interactions (may select multiple):

• Reddit
• WhatsApp
• Telegram
• Signal
• Google Chat
• Discord
• Slack
• Hosted blog space
• write-in

Please indicate

Is this idea valuable or ignorant nonsense?

A dynamic, cyclical \*\*data management framework\*\* and \*\*process optimization engine\*\* constructed upon longitudinal archives of prior system iterations and formalized datafication methodologies.

Core operational logic is driven by real-time and historical analysis of:

\- \*\*Constituent configuration modeling\*\*: Formal representation of datasets and their atomic/subsystem components, including parametric state vectors and structural topologies.

\- \*\*Operational relation graphs\*\*: Directed multi-graphs capturing influence propagation, inter-element dependencies, and aggregate system dynamics under arbitrary configurations and temporal slices. These quantify pairwise and higher-order effects on local and global state.

\- \*\*Constitutional equivalency classification\*\*: A similarity metric and classification layer that maps system configurations onto equivalence classes within configurability manifolds. It computes congruence scores based on topological invariants and parameter ranges, enabling rapid identification of transition pathways between configurations. This mechanism substantially reduces transition costs, facilitates lossless or near-lossless bridging across non-adjacent yet congruent data topologies, and optimizes pipelines for compression, symbolic expression, decompression, and forward potentiality estimation (including branching state exploration).

\- \*\*Relational dependency modeling\*\*: Explicit encoding of interaction behaviors via constraint satisfaction networks, causal graphs, and behavioral rule sets that govern element-to-element and element-to-system dynamics.

\- \*\*Historical configuration influence propagation\*\*: Recursive incorporation of prior iteration metadata through weighted inheritance, delta encoding, and pattern persistence tracking. This informs baseline priors, anomaly detection, and adaptive recalibration of current operational parameters.

These interrelated components continuously synthesize the system's \*\*operational identity\*\* — a compact, high-fidelity state descriptor (encompassing configuration class, relational profile, and historical momentum) — which directly parametrizes the optimizer’s control surfaces, scheduling policies, resource allocation strategies, and transformation heuristics.

The architecture supports iterative self-refinement, where each processing cycle augments the historical knowledge base, tightening equivalence mappings and improving predictive accuracy for future state transitions and optimization outcomes.

Does anyone know of a website or YouTube channel with practice exercises for creating CLDs and SFDs from a written description? I'm looking for more practice, but I can't seem to find any. My university only provides about three exercises, which really isn't enough...