A field guide to systems
Nothing happens
in isolation.
A traffic jam. A thriving forest. A quick fix that makes things worse. Look beyond the event, and a pattern begins to emerge.
The outcome informs the next action. The chain becomes a loop.
Touch the switch ↗A SYSTEM AT YOUR FINGERTIPS / 15 SECONDS
Make it rain.
Watch what stays.
Water arrives. A city keeps using it. Change the rainfall and see what a reserve can absorb.
Open the full experimentDrag the rain. The city still needs 40 ML every week.
What is held constant?
Capacity: 500 ML. Initial water: 300 ML. Demand: 40 ML/week. Capacity-related loss: 2.5 ML/week. Inflow varies seasonally by ±25% around the slider setting. Surplus spills; unfilled demand is recorded. The graph shows the first 52 weeks of the full lab’s model, using 0.25-week steps. These are illustrative assumptions, not a water-supply forecast.
The field guide
You’ve seen this before.
Different situations. Familiar dynamics. Learn what to look for—and where the analogy stops.
Fixes that fail
The solution works. Then its side effects bring the problem back.
Picture itOvertime clears the queue. Exhaustion creates the next one.RELIEF → REBOUNDLimits to growth
The engine keeps accelerating. The constraint begins to dominate.
Picture itMore customers arrive. The support queue stops them staying.GROWTH → CONSTRAINTSuccess to the successful
An early lead attracts resources that make the next lead more likely.
Picture itThe busiest team gets the budget—and the next big project.ADVANTAGE → ALLOCATIONIN THE WORLD / EMERGENCE
A traffic jam.
No bottleneck.
In a circular-road experiment, 22 drivers created a jam without an obstacle. Sometimes the explanation lives between the parts.
Controlled experimentFollow the wave →The living laboratory
Don’t just read the model.
Change it.
How much reserve is enough?
Build a reservoir. Change the rain. See what a buffer can absorb.
Open the lab ↗Experiment 02Can you overcorrect a shortage?
Change your reaction speed—and count what is already on its way.
Open the lab ↗Experiment 03What changes a city’s choices?
Compare transport rules inside an explicit, simplified model.
Open the lab ↗ONE QUESTION TO KEEP ASKING
“Whose system
are we improving?”
A better outcome for one person can move the problem somewhere else. The boundary you draw is part of the story.
Look outside the frame →SPOT THE PATTERN / DAILY CASE
The popular service that cannot keep its new customers.
Referrals bring a service more customers. Its support capacity stays fixed. As queues lengthen, satisfaction and referrals fall, slowing growth.
An illustrative scenario. Which mechanism fits best?
START WITH YOUR OWN EXPERIENCE
What keeps
happening?
Pick the frustration. Follow a possible mechanism.
These are starting questions, not diagnoses. Look for the mechanism before naming the pattern.
Read the world differently
Ideas with a paper trail.
Feedback & delay · 5 min
The orders already on their way
Why an empty shelf is only part of the inventory story.
Read the story →Rules & cooperation · 4 min
The commons people learned to govern
Shared resources have more than one possible future.
Read the story →Technology & AI · 5 min
When predictions change their world
A model’s output can become part of its next input.
Read the story →KEEP A THREAD
One idea leads
to another.
Come back for a different daily lens. Follow the feed for new articles as the guide grows.
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