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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.

Influenced Mental Models

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

Quote

“No one deliberately creates those problems… but they persist nonetheless. That is because they are intrinsically systems problems—undesirable behaviors characteristic of the system structures that produce them.”

—Donella Meadows via Thinking In Systems