You Are Not a Machine. So, Why Do We Treat You Like One?

ESSAY · COMPLEXITY & HUMAN SYSTEMS

Medicine has always been better at fixing broken parts than understanding living systems. After thirty years as a GP, I have come to believe there is a richer way to understand what is happening when people get stuck — and it comes from complexity science.

Imagine two people sitting in a GP’s waiting room. Both feel exhausted, sleep poorly, and struggle with low mood. Both will be asked roughly the same questions. Both may leave with broadly similar advice. And both — if they are honest — may feel that the conversation did not quite reach what they came in with.

This is not a failure of medicine. It is a failure of metaphor.

The Limits of the Machine Metaphor

Western medicine inherited a way of thinking from Newtonian physics: the body as a machine, illness as a broken part, treatment as a repair. That metaphor has achieved extraordinary things. It gave us antibiotics, surgery, and vaccines.

But it begins to fail when the problem is not a broken part — when someone’s exhaustion is the product of a life, not a lab result. When anxiety is not a malfunction, but a signal. When obvious interventions have already been tried, yet the system keeps pulling the person back to the same place.

People do not present as malfunctioning machines. They present as complex, dynamic systems operating under conditions of uncertainty, load, and constraint.

What Complexity Science Can Teach Us About People

In the 1980s, researchers at the Santa Fe Institute began developing a body of theory around what they called complex adaptive systems — systems made up of many interacting parts that self-organise, adapt to their environment, and produce properties that cannot be predicted by looking at any one part alone.

Weather systems. Ecosystems. Economies. Ant colonies.

And, I would argue, people.

A human being is not a collection of problems to be solved one by one. A person is a dynamic system — biological, psychological, social, and relational — constantly adapting, constantly generating patterns, and constantly returning to certain stable states.

Complexity science gives us language for this, and in a clinical setting, that language can be remarkably useful.

Five Lenses for Understanding Human Systems

Here are five concepts I use as lenses when trying to understand what is actually happening in someone’s life.

1. Attractors

The stable states a system keeps returning to. Not exactly choices, but default configurations that feel like home, even when home is not working.

2. Feedback Loops

Some loops amplify patterns and make them harder to leave. Others are self-correcting. Understanding which is which changes what is worth trying.

3. Coupling Hub

The domain of life — work, relationships, health, or inner world — where changes send ripples through everything else. This is often where the real leverage lives.

4. Perturbation Response

How the system responds to disruption: does it bounce back, stay rigid and accumulate tension, or use disturbance as the occasion for real change?

5. Emergence

What appears in the system that could not have been predicted from its parts alone. The unexpected strength revealed in crisis. The somatic symptom that turns out to be the system’s most honest signal.

Why Change Is Hard — and Why It Is Not About Willpower

This is the part of the framework I find most useful and most compassionate.

When someone cannot change a pattern despite genuinely wanting to — despite insight, motivation, and effort — the usual explanation is personal. They are not trying hard enough. They are ambivalent. They are self-sabotaging.

Complexity science offers a different explanation: a structural one.

The person may be in a deep attractor basin. The system has a strong gravitational pull back toward its current configuration, and the energy required to escape it exceeds what the system can currently generate. The pattern is not a character flaw. It is a feature of the system.

That does not mean change is impossible. It means the better question is not, Why won’t you change? It is. What would make a different configuration accessible to this system?

That question opens a very different kind of conversation — and often leads to very different answers.

A person cannot begin to move differently within their system until they can see the system they are in. Perception is the precondition for change.

The Same Person, Seen Differently

Take the patient with exhaustion, poor sleep, and low mood.

Through a conventional clinical lens, they may be a candidate for screening tools and blood tests — all reasonable and necessary. Through a complexity lens, they may instead be seen as a system operating far from equilibrium, with an as-yet unmapped attractor landscape, a coupling hub that could change everything about where to begin, and a perturbation response that looks like resilience but may actually be rigidity.

These two framings are not in conflict. They are compatible.

But the second adds dimensions that the first does not reach. It invites different questions:

• What does your life keep pulling you back to, even when you would rather go somewhere else?

• When things go wrong, what is the first thing that destabilises?

• Where would a small change create the biggest ripple?

These are not diagnostic questions. They are orientation questions — the kind that help a person see the map of their own system, sometimes for the first time.

What I Have Built From This: System Mirror

System Mirror is a framework I have developed over years of trying to bring these ideas into real clinical practice. It is an attempt to translate the conceptual vocabulary of complexity science into something both a clinician and a person can actually use.

At its centre is a clinical tool I called System Mirror: a structured reflective conversation that gathers signals about a person’s system — their current state, recurring patterns, response to disruption, and where leverage may lie — and returns a personalised system map.

Not a diagnosis. Not a formulation. A reflection.

It renders a person’s own signals in a form that makes structure visible.

The output begins with a single insight sentence — the most important element — that names a structural aspect of the system the person is unlikely to have articulated before. The aim is recognition, not revelation. Not something invented about the person, but something they already knew, seen in a new light.

There is a familiar clinical moment in formulation-based practice: a patient hears their situation described back to them in a new frame and experiences both recognition and relief. Not the relief of a solution, but the relief of a structure named.

The system was already this way. Now it can be seen.

That is the experience System Mirror is designed to produce, reliably and honestly.

A Note on Honest Limits

The concepts of complexity science — attractors, feedback loops, emergence — were originally developed for physical and biological systems. Applying them to human lives is an act of translation. The mathematics do not carry over. The precision does not carry over.

What does carry over is the quality of attention.

It is the shift from looking for broken parts to looking for patterns. From asking what is wrong to asking how the system is organised. From targeting single variables to asking where the real leverage lies.

Used honestly — as lenses rather than facts — complexity science offers something rare in medicine: a framework that allows a person to feel seen in their full complexity, rather than simplified into the categories required to apply a protocol.

That, ultimately, is what this is for.

Dr Esmaeili is a general practitioner with nearly thirty years of clinical experience. System Mirror is a reflective tool developed within a complexity-informed practice framework.