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Ten Disciplines

A cross-disciplinary toolkit for a well-rounded mind.

30 posts · Thinking & Decisions

  1. 1

    Seeing the Whole: What a System Is and Why It Behaves the Way It Does

    Imagine a basement that floods every spring. One family mops it up, runs a fan, and curses the rain.
  2. 2

    The Machinery of Systems: Stocks, Flows, Feedback Loops, and Delays

    In the first chapter you learned the big idea of systems thinking: structure drives behavior . The way a system is wired — not the people inside it — is what…
  3. 3

    Leverage Points, System Traps, and Thinking in Systems (Advanced & Real-World)

    In the first two chapters you learned to see systems: stocks (things that build up, like water in a bathtub or money in a bank), flows (the rates that fill or…
  4. 4

    Scarcity, Choice, and How Prices Carry Information (Micro Foundations)

    Imagine you wake up tomorrow and everything you could ever want — food, gadgets, holidays, time — is suddenly free and unlimited.
  5. 5

    Markets, Incentives, Trade, and When Markets Fail

    In the foundations chapter you met the spine of economics: scarcity → choice → trade-off → incentive → outcome .
  6. 6

    The Big Picture: Money, Growth, Inflation, and the Macro Economy (Advanced)

    So far you have learned to think like an economist about small things: one buyer, one seller, one market.
  7. 7

    How the Mind Works: Perception, Attention, Memory, and Two Systems of Thinking

    Before you can understand why people decide, feel, and act the way they do, you have to understand the machinery that runs underneath all of it: the mind.
  8. 8

    Biases, Heuristics, and Why Smart People Make Predictable Errors

    Here is one of the most uncomfortable findings in all of psychology: being smart does not protect you from thinking badly.
  9. 9

    Motivation, Emotion, Personality, and Social Behavior (Advanced & Applied)

    The earlier chapters covered how the mind takes in and processes information: perception, attention, memory, the fast-and-slow systems of thinking, and the…
  10. 10

    Reading the World in Numbers: Data Types, Averages, Spread, and Charts

    Every day, the world hands you numbers. A weather app says "70% chance of rain." A news site reports the "average salary" in your city.
  11. 11

    Probability, Uncertainty, Distributions, and Bayesian Thinking

    The world rarely hands us certainty. A weather forecast says "70% chance of rain." A doctor says a test is "95% accurate." A friend says their cousin made a…
  12. 12

    Inference, Correlation vs Causation, and How Statistics Mislead (Advanced)

    In the last two chapters you learned to describe data (means, spreads, distributions) and to reason about chance (probability, Bayes).
  13. 13

    What Strategy Really Is: Advantage, Moats, and Positioning

    Almost everyone uses the word "strategy" wrong. A founder says, "Our strategy is to grow 30% this year." A manager says, "Our strategy is to be the best." A…
  14. 14

    Industry Forces, Competition, Business Models, and Value Creation

    In the foundations chapter you met the single biggest idea in strategy: strategy is not a goal or a wish — it is a set of choices .
  15. 15

    Execution, Growth, and Strategic Decision-Making (Advanced)

    By now you know how to choose a strategy. You can read an industry's structure, spot where value is captured, and tell a real moat from a shiny feature.
  16. 16

    The Language of Money: Financial Statements, Profit, and Cash Flow

    Every business, from a single food cart to a giant like Apple, runs on the same hidden language.
  17. 17

    Time Value of Money, Risk, Return, and How Investing Works

    In the foundations chapter you learned the language of money: assets, liabilities, equity, revenue, profit, and the difference between profit on paper and cash…
  18. 18

    Markets, Valuation, and Personal + Corporate Finance (Advanced)

    By now you can read the three financial statements, you understand that a dollar today beats a dollar tomorrow, and you know that profit and cash are not the…
  19. 19

    Clear Thinking on the Page: Structure, Clarity, and Writing for the Reader

    Most people think writing is about putting words on a page. It isn't. Writing is about getting an idea out of your head and into someone else's head —…
  20. 20

    Persuasion, Storytelling, and Communicating to an Audience

    By now you know the foundation: communication is a transfer of meaning , not a transmission of words .
  21. 21

    Advanced Communication: Influence, Difficult Conversations, and Mastery

    By now you have met the foundations: communication is the transfer of meaning , not the transmission of words , and the burden of being understood always sits…
  22. 22

    How Computers and Software Actually Work (From Bits to Programs)

    You use computers every day. You tap a screen and a message flies to a friend across the planet.
  23. 23

    The Internet, Databases, APIs, and the Cloud: How Modern Systems Are Built

    In the foundations chapter you met the machine: how it stores everything as bits, how the CPU follows instructions, how software is just very precise recipes.
  24. 24

    Artificial Intelligence and Machine Learning Explained (Advanced)

    In the last two chapters you met the building blocks: computers that follow literal instructions, software, the internet, the cloud, and a first look at…
  25. 25

    Why History Matters: Reading the Past and Judging Sources

    Ask most people what history is, and they will say: a list of dates, dead kings, and battles you had to memorize for a test.
  26. 26

    Forces That Shaped the Modern World: A Guided Tour Through the Eras

    In the last chapter you learned how historians think : they treat the past as a detective treats a crime scene, reasoning carefully from the clues that…
  27. 27

    Thinking Historically: Patterns, Cycles, Cause-and-Effect, and Lessons (Advanced)

    By now you know what history is: not a list of dates, but a disciplined argument about the past built from surviving evidence.
  28. 28

    How to Make Good Decisions Under Uncertainty

    You make thousands of decisions a day. Most are tiny and automatic: which shoe to put on first, when to cross the street.
  29. 29

    The Tools of Decision-Making: Expected Value, Decision Trees, and Models

    In the previous chapter you learned the big idea behind decision science: a good decision is not the same thing as a good outcome.
  30. 30

    Advanced Decision Science: Game Theory, Bias-Proofing, and Sharp Judgment

    You've already met the core machinery. You know that a good decision is not the same as a good outcome.