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Thinking Physics

Thinking Physics

Lewis Carroll Epstein
1979
T3 596 pages · about 9h 56m to read Open Librarygoodreads

Summary

Epstein wrote a book of physics questions in multiple-choice form, each followed by an explanation. There are several hundred, covering mechanics, fluids, heat, vibrations, light, electricity, relativity and quantum ideas. The questions require no calculation and almost no algebra.

The pedagogical claim is that most physics teaching produces students who can manipulate equations but hold incorrect intuitions about physical situations, and that the fastest way to correct this is to force a commitment to an answer before receiving an explanation. The questions are constructed so that the plausible wrong answer corresponds to a common misconception. A typical example asks what happens to the water level when ice floating in a glass melts, or which of two identical bullets fired horizontally and dropped hits the ground first.

The explanations are qualitative and use physical reasoning rather than formulas, often with hand-drawn diagrams. Epstein consistently reduces problems to symmetry, conservation, limiting cases and dimensional reasoning.

The book is aimed at people learning physics rather than at practitioners, and its subject is physics rather than business, so its use to an investor or operator is indirect: it trains the habit of committing to a prediction and then checking it, and of testing an argument at its extremes. Some readers find the deliberately informal style irritating and the absence of mathematics limiting for anyone who needs to calculate rather than reason. The physics is standard and correct; the edition history is long and later printings expand the coverage.

Key takeaways 7

  1. Physical intuition and equation manipulation are separate skills, and formal instruction develops the second while leaving the first wrong.
  2. Committing to an answer before reading the explanation produces learning that passive reading does not.
  3. Most physics problems can be solved qualitatively by examining limiting cases rather than by calculation.
  4. Symmetry arguments settle many questions that appear to require computation.
  5. Common misconceptions are systematic rather than random, so questions can be designed to expose specific ones.
  6. Checking whether an answer behaves sensibly at extremes catches most reasoning errors.
  7. Understanding a physical situation means being able to predict it without the equation, not being able to derive the equation.

Who should read it

Anyone who wants to test whether their physical intuition matches reality, and readers looking to practise committing to predictions before seeing the answer.

Who recommended it 1 · 1 direct

“There's another great book that's called Thinking Physics. I open this one all the time.”

Similar books 6

Chosen by shared topics, the entries that hold them, and the people who recommended both.

Richard P. Feynman · 1994

Six physics lectures with little maths: atoms, energy, gravity and quantum behaviour.

Recommended by: Naval Ravikant

J. E. Gordon · 1981

Why structures hold up or fail: tension, compression, shear and fracture explained.

Recommended by: Elon Musk

David Deutsch · 2011

Knowledge can grow without limit through good explanations that are hard to vary.

David Deutsch · 1997

Reality through four strands: many-worlds physics, computation, evolution, Popper.

Bill Bryson · 2003

How scientists came to know what they know, from cosmology and geology to biology.

Edward O. Wilson · 1998

How the sciences and humanities can be unified by causal links from physics up.

“I was inspired by E. O. Wilson's book Consilience, which came out in 1998 and is a book I'd recommend.” — Michael Mauboussin

Source: MOI Global interview with Michael Mauboussin

Recommended by: Michael Mauboussin, Mohnish Pabrai

Where it sits in the reference 2

Mental models
Mental models

Topics

ScienceEducation and LearningPhysics and chemistry textbooks