Thinking in Systems | Book Review
Episode 9: Thinking in Systems
What if the reason most problems keep coming back isn't bad luck or bad people — but bad structure? In this episode, Watson and B. Sovereign break down Thinking in Systems by Donella Meadows, one of the most quietly influential books in modern problem-solving, and extract a reusable method you can apply to your work, your finances, and the systems shaping the world around you.
They walk through the book's four counterintuitive truths: purpose is what a system does (not what it says), stocks are memory, feedback beats linear cause and effect, and deep leverage lives in goals and paradigms. Along the way, the conversation moves from thermostats and bathtubs to Bitcoin nodes, Black Friday server architecture, the Federal Reserve, Beanie Baby inventory crashes, and the debate over standardized testing — all through the lens of systems thinking.
You'll also learn to recognize three classic system traps — policy resistance, the tragedy of the commons, and the drift of low performance — and why the standard fixes almost always make them worse.
By the end of the episode, you'll have a repeatable checklist: map behavior over time, name your stocks and flows, identify your feedback loops, locate the delays you've been ignoring, and find the real leverage point — because pulling the wrong lever is more common than anyone admits.
In this episode:
- The hierarchy of leverage points — and why tweaking numbers is almost never the answer
- Why adding more developers can kill your team's output (the Mythical Man-Month, Kanban, and velocity)
- How delays cause overshoot — from shower temperature to Fed monetary policy
- What Bitcoin and open source software reveal about self-organizing systems
- Why antifragility is the ultimate systems goal
Companion slides, notes, and study cards available at bitlemmas.com.
