đź“š Source
Who Should Read This
Anyone who:
- Still believes “people just need to try harder” is a sufficient theory of systems.
- Thinks pulling one lever will magically “fix” a complex problem
- Designs policies, organizations, or products that keep backfiring “for no reason”
- Has to deal with messy, real-world problems and suspects the usual “common sense” isn’t cutting it
- Secretly suspects the world is a giant, badly-documented feedback loop and wants the documentation.
- Believes growth can be infinite on a finite planet.
- Believes “more control” is always the answer.
- Still thinks optimizing their own little corner is helping the whole.
- Thinks “people are just stupid” instead of “maybe the system is badly designed.”
- Keeps “solving” symptoms.
- Thinks more dashboards will save their organization.
- Believes they’re “data-driven” but can’t define “good.”
Thinking In Systems: in Miranda-ese
Before Thinking in Systems, solving problems feels like playing whack-a-mole.
A problem pops up — you hit it.
Another one appears — you hit that too.
You stay busy. You feel productive.
But nothing actually gets better.
What you don’t see is what’s happening underground:
There’s a whole system producing those moles.
Thinking in Systems teaches you to stop focusing on the moles…
and start understanding the machine creating them.
Once you see the parts, the relationships, and the feedback loops, the pattern stops feeling random.
And instead of endlessly reacting to symptoms,
you can change the system that keeps generating them.
Resonating Quotes
Quote
“If a factory is torn down but the rationality which produced it is left standing, then that rationality will simply produce another factory.”
—Robert Pirsig, Zen and the Art of Motorcycle Maintenance via Thinking In Systems
Influenced Mental Models
WIP
I’m still working through processing my notes for this source. Expect this to evolve in the future.