Skip to content

A library for thoughtful decisions

Multidisciplinary Thinking

An independent collection inspired by Charlie Munger’s approach to learning across disciplines. Explore connections between mathematics, science, human behavior, and judgment.

65 entries · 13 categories · Definitions, limits & references

This is not a prescribed list by Munger. Scientific concepts are explained in their original disciplines; a useful business analogy does not establish an identical mechanism.

65 entries

Mathematics

6 entries
01

Compound Growth

When each period’s gain is added to the base for the next period, growth compounds. Starting with an amount P and a constant rate r, the amount after n periods is P(1+r)^n.

Use and limitsPositive exponential growth has no mathematical inflection point. Learning and relationships do not automatically follow this formula.

02

Combinatorics and Probability

Counting methods describe possible arrangements; probability assigns likelihoods under a stated model. For mutually independent events, their joint probability is the product of their probabilities.

Use and limitsThree mutually independent 80% events all occur with probability 51.2%. Without independence, use conditional probabilities.

Further reading

Penn State STAT 414, Independent Events

03

Bayes’ Theorem

For evidence E with P(E) > 0, Bayes’ theorem relates a hypothesis’s posterior probability to its prior probability and the likelihood of that evidence: P(H given E) = P(E given H)P(H)/P(E).

Use and limitsCheck base rates and evidence quality; a precise calculation can still rely on poor assumptions.

Further reading

Thomas Bayes, “An Essay towards Solving a Problem in the Doctrine of Chances” (1763).

05

Normal and Power-Law Distributions

Normal and power-law models describe different patterns of variation. A power-law tail can assign much greater probability to extreme values than a normal model.

Use and limitsSelect a model from evidence and diagnostics, not from an appealing story about outliers.

Further reading

Clauset, Shalizi & Newman, Power-law distributions in empirical data

Physics

6 entries
07

Phase Transitions and Critical Points

A phase transition changes a material’s phase. In a fluid, the critical point is where the liquid–gas phase boundary ends.

Use and limitsBoiling water at ordinary pressure is a phase transition, not the water critical point. Business thresholds are analogies.

Further reading

OpenStax, College Physics, §13.5 Phase Changes

09

Newton’s Third Law

When two bodies interact, the force one exerts on the other is equal in magnitude and opposite in direction to the force it receives.

Use and limitsThe forces act on different bodies. Social reactions need not be equal and opposite in a physical sense.

Further reading

OpenStax, Physics, §4.4 Newton’s Third Law of Motion

Chemistry

4 entries
13

Autocatalysis

In an autocatalytic reaction, a reaction product or intermediate acts as a catalyst for the reaction.

Use and limitsThis is a specific chemical mechanism. A self-reinforcing business process is analogous, not necessarily autocatalytic in the chemical sense.

Further reading

IUPAC Gold Book, Autocatalytic reaction

14

Chemical Equilibrium and Le Châtelier’s Principle

A chemical equilibrium involves equal forward and reverse reaction rates. Changing conditions can shift the equilibrium composition in a direction that partially counteracts the disturbance.

Use and limitsEquilibrium is dynamic. The principle does not prove that markets or organizations always restore their previous state.

Further reading

OpenStax, Chemistry 2e, §13.3 Le Châtelier’s Principle

15

Activation Energy

Activation energy characterizes the energy barrier associated with a reaction pathway and helps explain how reaction rates depend on temperature.

Use and limitsCrossing a barrier does not mean every reaction releases energy or is thermodynamically favorable.

Further reading

OpenStax, Chemistry 2e, §12.5 Collision Theory

16

Structure–Property Relationships

A material’s properties depend in part on its composition, bonding, and arrangement across relevant length scales.

Use and limitsTemperature, processing, and environment also matter; “structure determines everything” is too strong.

Further reading

OpenStax, Chemistry 2e.

Biology

6 entries
19

Red Queen Hypothesis

Evolutionary success is relative to a changing environment that includes other evolving organisms. Maintaining a relative position may require continued adaptation.

Use and limitsIts application to business is an analogy, not a biological proof that constant expansion is necessary.

Further reading

Leigh Van Valen, “A New Evolutionary Law” (1973).

22

Complex Adaptive Systems

Interacting agents that respond to experience or changing conditions can generate system-level patterns that evolve over time.

Use and limitsNonlinearity and adaptation can limit prediction; describing a system as complex does not explain its specific behavior.

Further reading

John H. Holland, Hidden Order: How Adaptation Builds Complexity (1995).

Economics

6 entries
25

Diminishing Marginal Utility

Under a common preference assumption, each additional unit consumed provides less extra satisfaction than the previous unit, other things equal.

Use and limitsThis is an assumption used in models, not a universal income threshold for happiness.

Further reading

William Stanley Jevons, The Theory of Political Economy (1871).

26

Comparative Advantage

An actor has a comparative advantage in an activity when its opportunity cost is lower than another actor’s, even if its absolute productivity is lower.

Use and limitsPotential gains from specialization do not imply equal gains or eliminate adjustment costs.

Further reading

David Ricardo, On the Principles of Political Economy and Taxation (1817), chapter 7.

Psychology

8 entries
29

Reward and Punishment Responses

Rewards and penalties can strongly influence behavior.

Use and limitsCheck what conduct a rule actually rewards, not merely what it intends.

Further reading

B. F. Skinner, The Behavior of Organisms (1938).

30

Liking and Disliking Tendencies

Affection or dislike can color judgments about people and their claims.

Use and limitsAssess the evidence separately from feelings about its source.

Further reading

Munger, Poor Charlie’s Almanack, “The Psychology of Human Misjudgment”.

31

Consistency-Seeking

People may resist information that conflicts with an existing commitment.

Use and limitsAllow explicit revisions when evidence changes.

Further reading

Leon Festinger, A Theory of Cognitive Dissonance (1957).

32

Social Proof

Other people’s behavior can influence what seems appropriate or credible.

Use and limitsPopularity can provide information, but cannot replace evidence.

Further reading

Robert B. Cialdini, Influence (1984).

33

Contrast Effects

A comparison point can change how an option is perceived.

Use and limitsEvaluate absolute terms as well as relative differences.

Further reading

Munger, Poor Charlie’s Almanack, “The Psychology of Human Misjudgment”.

34

Curiosity

Curiosity can motivate exploration and the search for explanations.

Use and limitsFollow questions with evidence checks rather than collecting novelty alone.

Further reading

Munger, Poor Charlie’s Almanack, “The Psychology of Human Misjudgment”.

35

Stress and Judgment

Stress can change attention, memory, and decision-making.

Use and limitsEffects depend on intensity, duration, and task; avoid one universal rule.

Further reading

Munger, Poor Charlie’s Almanack, “The Psychology of Human Misjudgment”.

Philosophy

5 entries
37

Falsifiability

Popper proposed that scientific claims should expose themselves to possible refutation by making claims that could conflict with observations.

Use and limitsA failed test also raises questions about measurement and auxiliary assumptions; one anomaly is not always decisive.

Further reading

Karl Popper, The Logic of Scientific Discovery (English edition, 1959).

38

Occam’s Razor

When explanations account for the evidence comparably well, prefer one that introduces fewer unnecessary assumptions.

Use and limitsSimplicity is a guide, not proof. A simpler explanation can still be wrong.

Further reading

Stanford Encyclopedia of Philosophy, “Simplicity.”

40

Deduction and Induction

Deduction concerns conclusions that follow necessarily from premises when the argument is valid. Induction extends beyond observed cases and yields defeasible conclusions.

Use and limitsValid reasoning does not make false premises true; repeated observations do not logically prove every future case.

Further reading

David Hume, A Treatise of Human Nature

History

3 entries
42

Historical Analogy

Compare past and present situations to identify possible mechanisms, recurring tensions, and important differences.

Use and limitsUse analogies to generate questions. Differences in institutions, incentives, and circumstances can make a past outcome a poor guide to the present.

Further reading

Richard E. Neustadt and Ernest R. May, Thinking in Time (1986).

43

Multiple Causes and Hindsight Bias

An outcome can arise from interacting causes and contingencies. Knowing the result can make one explanation seem more inevitable than it was.

Use and limitsCompare alternative causal accounts and distinguish necessary conditions from contributing factors.

Further reading

Fischhoff, Hindsight not equal to foresight — reprint of the 1975 paper

44

Path Dependence

Past choices can shape current options through switching costs, accumulated skills, complementary investments, or self-reinforcing adoption.

Use and limitsHistory matters, but persistence alone does not prove inefficiency or impossibility of change.

Further reading

Paul A. David, “Clio and the Economics of QWERTY” (1985).

Statistics

5 entries
45

Regression to the Mean

When repeated measurements are imperfectly correlated, unusually extreme observations tend to be followed by observations closer to the mean.

Use and limitsThis is a statistical selection effect, not a force that reverses every trend or proves an intervention worked.

Further reading

Francis Galton, “Regression towards Mediocrity in Hereditary Stature” (1886).

46

Correlation and Causation

Two variables can move together because one affects the other, because of a common cause, or because of selection and other processes.

Use and limitsA causal claim requires assumptions and a design that addresses alternative explanations.

Further reading

Judea Pearl, Causality (2000).

47

Survivorship Bias

An analysis can be misleading when it includes only cases that survived a selection process and omits failures or other excluded cases.

Use and limitsDefine the original population and the selection process before generalizing from visible successes.

48

Base Rates and Conditional Probability

Interpreting evidence requires both its diagnostic value and the prior frequency of the condition being considered.

Use and limitsA positive test is not the same as a high probability of the condition; account for false positives and prevalence.

Further reading

Tversky and Kahneman, “Evidential Impact of Base Rates” (1982).

49

Simpson’s Paradox

An association observed within separate groups can reverse when the groups are combined because their composition and weights differ.

Use and limitsNeither the grouped nor aggregated result is automatically the causal answer; use subject-matter knowledge and a causal model.

Further reading

E. H. Simpson (1951), The Interpretation of Interaction in Contingency Tables

Computer Science

5 entries
50

Divide-and-Conquer Algorithms

Divide a problem into smaller instances, solve those instances, and combine their solutions, often recursively.

Use and limitsThe decomposition and combination must preserve correctness; coordination overhead affects efficiency.

Further reading

Thomas H. Cormen et al., Introduction to Algorithms.

51

Abstraction

Represent the features relevant to a task while hiding details that need not be considered at that level.

Use and limitsCheck what information the abstraction omits and when those omissions become important.

Further reading

Barbara Liskov and Stephen Zilles, “Programming with Abstract Data Types” (1974).

52

Data Quality and Model Validity

Unreliable inputs, inappropriate assumptions, or unsuitable objectives can produce misleading outputs even when computation is correct.

Use and limitsCheck provenance, measurement, missingness, and whether the model fits the question; “garbage in, garbage out” is a maxim.

53

Algorithmic Complexity

Analyze how an algorithm’s resource requirements change with input size, under a stated model of computation.

Use and limitsAsymptotic bounds do not determine every practical runtime; constants, data structure, and hardware also matter.

Further reading

Thomas H. Cormen et al., Introduction to Algorithms.

54

Redundancy and Fault Tolerance

Fault-tolerant systems aim to maintain specified functions despite component faults, sometimes using redundant components, detection, and recovery.

Use and limitsRedundancy is not enough if backups share a failure mode or cannot take over when needed.

Further reading

John von Neumann, “Probabilistic Logics and the Synthesis of Reliable Organisms from Unreliable Components” (1956).

Engineering

4 entries
55

Safety Margins and Redundancy

A safety margin provides capacity beyond an expected requirement; redundancy provides additional components or paths that can maintain a function if one fails.

Use and limitsThey address different risks. Shared dependencies can defeat apparently independent backups.

57

Feedback Control and PID

Feedback control uses measured output to adjust an input. A PID controller combines proportional, integral, and derivative responses to control error.

Use and limitsA periodic management review is a feedback loop, but not automatically a PID controller.

Further reading

Åström & Murray, Feedback Systems — author-hosted textbook

58

Modularity and Decoupling

Design components with clear responsibilities and interfaces so that changes inside one component have limited effects on others.

Use and limitsDependencies cannot always be eliminated; interfaces and integration require deliberate design.

Further reading

David L. Parnas, “On the Criteria To Be Used in Decomposing Systems into Modules” (1972).

Sociology & Anthropology

3 entries
59

The Strength of Weak Ties

Ties connecting otherwise separate social circles can provide access to information that close, overlapping networks do not supply.

Use and limitsWeak ties are not always more valuable; the task, trust required, and network structure matter.

Further reading

Mark Granovetter (1973), The Strength of Weak Ties

60

Cultural Capital

Bourdieu distinguishes embodied dispositions and knowledge, cultural objects, and institutional credentials that can have value within a social field.

Use and limitsThis explains forms of social advantage, not a ranking of people’s inherent worth or a guarantee of career success.

Further reading

Pierre Bourdieu (1986), The Forms of Capital — English text

61

Structuration Theory

Giddens examines how social practices draw on rules and resources while also reproducing or changing those structures.

Use and limitsStructure and agency are interrelated; this is not simply a claim that individuals can redesign any institution at will.

Further reading

Anthony Giddens, The Constitution of Society — publisher edition

Language & Rhetoric

4 entries
62

Narrative Framing

A narrative selects events, causal links, and perspectives that shape how an audience understands a situation.

Use and limitsA coherent story can omit evidence; compare alternative accounts and separate persuasion from verification.

Further reading

Jerome Bruner, “The Narrative Construction of Reality” (1991).

63

Ethos, Pathos, and Logos

Aristotle distinguishes persuasion through the speaker’s character, the audience’s emotions, and the argument presented.

Use and limitsThese describe means of persuasion; neither confidence nor emotional impact proves a claim true.

Further reading

Aristotle, Rhetoric, Book I — W. Rhys Roberts translation

64

Writing as a Tool for Thinking

Writing makes claims, assumptions, and transitions visible, allowing an argument’s gaps or ambiguities to be examined.

Use and limitsClear prose can still express a false claim; clarity and truth require separate checks.

Further reading

George Orwell, “Politics and the English Language” (1946).

65

Metaphor and Conceptual Framing

A metaphor interprets one domain in terms of another, highlighting some relationships while obscuring others.

Use and limitsIdentify where the comparison breaks down; an illuminating metaphor is not evidence of an identical mechanism.

Further reading

George Lakoff and Mark Johnson, Metaphors We Live By (1980).