Mental models and ways of seeing

How we think about systems - and the tools that help us see them more clearly.

The biggest barrier to systems thinking isn’t intelligence - it’s the mental models we already have. We default to linear thinking, to looking for single causes, to blaming individuals when the structure is the problem. These aren’t character flaws. They’re the way human brains are wired.

Systems thinking offers a different set of lenses. Causal loop diagrams that make invisible dynamics visible. The iceberg model that pushes you below the surface of events. Mapping tools that show you the system you’re standing in.

None of these tools are complicated. The hard part is remembering to use them - especially when events are moving fast and the pressure is on to just do something. This theme covers the lenses, the tools, and the traps that keep us from seeing what’s right in front of us.

11 concepts

Causal Loop Diagrams
A visual tool for mapping the reinforcing and balancing feedback that drives a system's behaviour
Dynamic Thinking
Thinking in terms of change over time rather than frozen snapshots - how does this play out?
Event-Pattern-Structure
Moving from 'what happened?' to 'what keeps happening?' to 'what's causing the pattern?'
Iceberg Model
Events are the tip - below the waterline sit the patterns, structures, and mental models that create them
Linear Thinking
Assuming that cause and effect are proportional, direct, and one-directional - the default that fails in complex systems
Map is Not the Territory
Every model is a simplification - useful but never the whole truth
Mental Models
The invisible assumptions and stories we carry about how the world works
Reductionism
Breaking things into parts to understand them - powerful for machines, misleading for living systems
Solutionism
The assumption that every problem has a clean solution - when complex systems often need navigation, not fixing
System Blindness
The inability to see systemic causes - defaulting to blaming individuals when the structure is the problem
Systems Mapping
The practice of making a system visible - its parts, flows, boundaries, and dynamics