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How Not to Be Wrong: The Power of Mathematical Thinking

intermediate7 chapters · 23 levels

Discover how to weaponize mathematical logic to navigate the hidden pitfalls of everyday life, from interpreting political spin to managing financial risks. By mastering these principles, you’ll transform abstract numbers into a powerful toolkit for making smarter decisions and seeing the world with unparalleled clarity.

1

The Power of Nonlinearity

Mathematical thinking begins by questioning the assumption that things move in straight lines. We explore how to see what is missing and why 'more' isn't always 'better'.

The Survivorship Bias

The Fallacy of Linearity

Danger of Extrapolation

2

Making Sense of Randomness

Randomness often mimics patterns. This chapter teaches how to distinguish genuine signals from the inevitable noise of a chaotic world.

The Baltimore Stockbroker

The Bible Code Illusion

The Null Hypothesis

The P-Value Problem

3

The Arithmetic of Expectation

Life is a series of gambles. We look at how 'expected value' helps us make rational decisions about money, risk, and even faith.

Understanding Expected Value

The Lottery Scandal

Pascal's Wager Revisited

Law of Large Numbers

4

The Mystery of Regression

Exploring why extraordinary events are usually followed by ordinary ones, and why we often confuse this natural return with causation.

Regression to the Mean

Galton's Discovery

Correlation is Not Causation

5

Thinking with Big Data

In an era of massive information, mathematical thinking acts as a filter to prevent us from drawing the wrong conclusions from big numbers.

The Law of Small Numbers

Torturing the Data

Bayesian Updating

6

The Mathematics of Democracy

Math reveals that there is no perfect way to aggregate individual preferences into a single 'will of the people'.

Condorcet's Paradox

Arrow's Impossibility Theorem

Gerrymandering Geometry

7

The Limits of Logic

We conclude by examining what math can and cannot prove, and how to apply this rigor to our daily lives.

Formalism and Axioms

Reductio ad Absurdum

How to Be Right

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