Category

Scientist & Thinker Thinking Frameworks

Scientific reasoning and inquiry frameworks from the thinkers who expanded human knowledge — captured as .md skill files.

Scientific thinking is less about having the right answer than about resisting the wrong process. The thinkers in this collection — Richard Feynman's habit of explaining ideas back to himself in the simplest possible terms, Marie Curie's two-decade extraction of radium from tons of pitchblende, Charles Darwin's slow accumulation of observational evidence before publishing, Daniel Kahneman's experimental discovery of how judgement actually works, Leonardo da Vinci's notebooks that treated every domain as one continuous investigation — left behind documented methods of inquiry. Their frameworks are not interchangeable: Feynman teaches by stripping language; Curie teaches by tolerating tedium; Kahneman teaches by trusting evidence over intuition. This collection captures those methods as .md skill files for Claude, ChatGPT, and any LLM. Use them when stress-testing a claim that everyone seems to accept, designing an experiment, or working out whether your own confident reasoning is correctly calibrated.

47 frameworks·$4.99 each·Delivered in 60 seconds
Signature mental models

How scientist & thinkers think

  • Feynman techniqueexplain the idea in plain language until the gap between what you know and what you can say closes
  • First principles reasoningstrip a problem to its physical constants, then rebuild the argument from there
  • Slow hunchesprotect early ideas long enough for evidence to accumulate, but never long enough to fall in love with them
  • System 1 and 2distinguish the fast intuitive judgement from the slow effortful one and use each where it belongs
  • Negative resulttreat experiments that disconfirm a hypothesis as worth as much as the ones that confirm it

Frameworks in this category

Richard Feynman

First Principles & Teaching via Curiosity

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Albert Einstein

Thought Experiments & Imagination

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Charles Darwin

Observation, Patience & Slow Hunches

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Carl Sagan

Wonder, Skepticism & Communication

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Stephen Hawking

Radical Inquiry Despite Constraints

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Carl Jung

Shadow Work, Archetypes & The Self

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Sigmund Freud

The Unconscious & Analytical Thinking

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Aristotle

Virtue Ethics & Systematic Inquiry

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Alan Turing

Computational Thinking & Problem Reduction

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Nikola Tesla

Visionary Invention & Pattern Recognition

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Isaac Newton

Solitary Genius & Mathematical Rigor

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Plato

Dialogue, Forms & The Examined Life

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Friedrich Nietzsche

Will to Power & Perspectivism

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Bertrand Russell

Logical Rigor & Moral Courage

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Socrates

Questioning & Epistemic Humility

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Marie Curie

Rigour, Endurance & Uncharted Research

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Ada Lovelace

Imagination in Computation & First-Principles Algorithmic Thought

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Rosalind Franklin

Rigorous Experimentation & Intellectual Ownership

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Hedy Lamarr

Parallel Identities & Inventive Systems Thinking

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Rachel Carson

Clear-Eyed Observation & Public Warning

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Jane Goodall

Patient Observation & Interspecies Empathy

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Katherine Johnson

Mathematical Precision & Quiet Authority

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Fei-Fei Li

AI as Scientific Tool & Dataset-First Thinking

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Daniel Kahneman

System 1/2 Thinking & Cognitive Bias

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Leonardo da Vinci

Curiosity, Notebooks & Cross-Disciplinary Genius

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Galileo Galilei

Empirical Courage & Measurement

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Michael Faraday

Self-Taught Experimentation & Clarity

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James Clerk Maxwell

Unifying Synthesis & Mathematical Elegance

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Archimedes

Geometric Intuition & Applied Mechanics

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Jennifer Doudna

CRISPR Gene Editing & Scientific Courage

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Frances Arnold

Directed Evolution & Bio-Engineering Mindset

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Donna Strickland

Laser Physics & Patient Experimentalism

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Emmanuelle Charpentier

Collaborative Science & CRISPR Discovery

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Geoffrey Hinton

Deep Learning & Neural Network Vision

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Yann LeCun

Convolutional Thinking & Open Science

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Andrew Ng

AI Pedagogy & Democratising Machine Learning

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Demis Hassabis

Games to AGI & Scientific Imagination

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Terence Tao

Mathematical Play & Collaborative Rigour

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John von Neumann

Game Theory, Computation & Rapid Synthesis

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Srinivasa Ramanujan

Intuitive Leaps & Mathematical Mysticism

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Kurt Gödel

Incompleteness & Rigorous Self-Reference

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John Maynard Keynes

Demand-Side Economics & Pragmatic Stewardship

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Milton Friedman

Monetarism & Free-Market Clarity

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Esther Duflo

Randomised Trials & Evidence-Based Poverty Work

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Thomas Sowell

Economic History & Unsentimental Analysis

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Amartya Sen

Capability Approach & Development Ethics

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Richard Dawkins

Gene's-Eye View & Confident Materialism

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Practical use

When to use these frameworks

  • Stress-testing a confident claim — your own or someone else's — for hidden assumptions
  • Designing an experiment, A/B test, or pilot programme where the result has to mean something
  • Reading a study and deciding whether its conclusions actually follow from its evidence
  • Working through a complex decision where intuition and analysis disagree
  • Communicating a technical idea to an audience that doesn't share your background
Featured framework

Start here

Richard Feynman

First Principles & Teaching via Curiosity

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Related categories

Adjacent thinking

FAQ

Frequently asked questions

Which scientist framework is best for someone outside scientific work?

Feynman and Kahneman. The Feynman technique — explain it in plain language until you can't fudge the bits you don't understand — is the single most portable scientific habit; it works for management decisions, technical writing, and learning anything new. Kahneman's System 1/System 2 framework gives you a vocabulary for noticing when fast intuition is failing you, which applies in any context with high-stakes judgement.

Are these useful for product or business decisions?

Yes. Working backwards from observation rather than forward from belief is the core scientific habit, and it pays off heavily in product work — A/B test design, user research analysis, market sizing, postmortems. Negative-result discipline (the willingness to accept that your hypothesis was wrong) is rare in commercial environments and disproportionately valuable when you can sustain it.

Can these replace formal scientific training or peer review?

No. Real scientific work runs through peer review for a reason — domain experts catch errors no framework will. These frameworks help you think more rigorously about evidence and avoid the most common reasoning mistakes, but they don't substitute for trained methodological judgement in a specific discipline. They're a useful complement to scientific training, not a stand-in for it.

Why include philosophers and economists in a science collection?

The boundary between science and structured thinking is blurrier than the categorisation suggests. Aristotle and Plato established systematic inquiry; Russell brought logical rigour to philosophy; Kahneman and Sen formalised parts of economics into testable claims. The frameworks here are unified by method — careful reasoning under uncertainty — rather than by department. Include them under whichever heading helps you find what you need.

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