Never waste a crisis
A heuristic that encourages deploying innovation teams alongside recovery teams during a crisis to capture novel practices and drive change.
THE REFERENCE LIBRARY
A growing collection of ideas for understanding the world — and your own thinking.
A heuristic that encourages deploying innovation teams alongside recovery teams during a crisis to capture novel practices and drive change.
New types of numbers, like negative and irrational numbers, can emerge as outputs from simple algorithms that were originally designed for existing number types. This mental model illustrates how processes can generate novel conceptual categories from seemingly familiar inputs.
Some news publishers operate in-house studios that produce advertising in the style of journalism. The source examines how sponsored stories can borrow a publication’s credibility and make the boundary between reporting and advertising harder to recognize.
Newton's three laws of motion describe the relationship between force and motion, forming the foundation of classical mechanics. The first law defines inertia, the second quantifies force as mass times acceleration, and the third states that every action has an equal and opposite reaction.
In ecology, a niche defines the role and requirements of a species. Species range from generalists with broad niches to specialists with narrow ones, each strategy carrying trade-offs in survival and competition.
Taleb uses Victor Niederhoffer’s commitment to testing claims against data to discuss the limits of empiricism without a sound method. Historical patterns need testing, but a test can itself mislead.
The mental model of 'Night Jerry' illustrates the conflict between present-self and future-self, where immediate desires (Night Jerry) often override long-term goals (Morning Jerry), leading to temporal discounting and irrational decisions.
In the Stoic view presented here, virtue is the good a person can retain despite external loss. Stilbo’s reported response illustrates that demanding ideal of self-sufficiency, rather than a claim that bereavement or other losses are unreal.
Miyamoto Musashi argues that training is never complete and outlines nine essential attitudes for the warrior's path, including honest self-reflection, continuous training, and perceiving the unseen. These principles aim to free the spirit from negative thoughts and develop mastery through constant study and self-control.
A classic puzzle where nine dots in a square grid must be connected by four continuous straight lines, which seems impossible if one assumes lines cannot extend beyond the grid boundary. Breaking this assumption reveals the solution, illustrating the power of lateral thinking.
This cognitive distortion describes the tendency to treat anything less than perfect as completely unacceptable, leading to excessive detail orientation and an inability to accept 'good enough.' It often manifests as perfectionism that hinders progress and relationships.
The Nirvana Fallacy occurs when a realistic solution is dismissed because it does not achieve perfection, ignoring the value of incremental improvements.
De Bono uses NO for judging and rejecting an arrangement of information, and PO for suspending judgment while rearranging it. PO marks a provocation to explore, giving an unfamiliar pattern time to suggest a useful idea.
Taleb’s practitioner ethos asks people to bear consequences for the ideas they advocate. He calls beliefs backed by personal action and risk doxastic commitment, while distinguishing that commitment from sufficient evidence that a belief is true.
No human is without faults; we all have shortcomings. Additionally, our judgments of others may be flawed because we fail to understand their perspective, and qualities that are useful in some situations can be drawbacks in others.
The concept emphasizes that all organizations and individuals, especially regulators and authorities, must adopt a fact-based learning mindset, accepting their own partial perspectives and biases. Using the OFSTED case, it illustrates how a blame mindset and avoidance of responsibility hinder solving complex societal problems.
In Erikson’s color model, Blue describes someone who values precision and exacting standards. Such a person may invest time in preventing mistakes and judge colleagues by the quality of their work, while overlooking the cost of excessive checking.
Musashi advises initiating an attack decisively, coordinating the body, and adapting without a fixed expectation of how the exchange will unfold.
The No True Scotsman fallacy occurs when someone redefines the criteria for group membership to exclude a counterexample that would otherwise falsify a generalization, often used to protect ideological claims from criticism.
Taleb’s trader Nero values time to think and sees excessive activity as a way to become absorbed in market noise. He believes discipline can help secure a comfortable life, while extraordinary success also depends heavily on luck and risk.
True belief or worship requires a tangible cost or sacrifice; it cannot be a free option. The concept emphasizes that 'skin in the game'—personal risk or sacrifice—is essential for authenticity and commitment in religious and non-religious contexts alike.
Munger and Buffett’s fence analogy favors understandable opportunities with attractive rewards relative to risk. It encourages patience and selectivity rather than taking on difficulty for its own sake.
The romanticized belief that Indigenous or premodern societies are inherently virtuous and live idyllic lives, overlooking hardships and differences among communities.
Munger’s 'iron prescription' is to treat a setback as your responsibility and focus on what you can do to fix it.
Even strong advocates of rationality, like Karl Popper, can be personally irrational and fail to practice what they preach, highlighting a common disconnect between intellectual beliefs and everyday behavior.
Taleb challenges models in which an early winner remains dominant, emphasizing that established leaders can be displaced by newcomers or wider changes.
Taleb uses William Goldman’s observation about movie sales to argue for preparing for uncertainty. Seek opportunities with limited losses and large potential gains, and reduce exposure to surprises that could be ruinous. Whether uncertainty helps depends on the terms of the exposure.
People overestimate their understanding of the world, believing it is more predictable and explainable than it actually is, leading to systematic forecasting errors and a failure to learn from unpredictability.
Noise refers to variability in probability judgments that is unrelated to the actual occurrence of the target event, often arising from reliance on irrelevant information or from inconsistency. It degrades judgment accuracy separately from bias and has been studied cross-culturally, revealing differences in noise levels among respondents from different countries.
Noise is unwanted variation in judgments of the same case. It can arise between professionals or when the same person assesses a case on different occasions. Comparing independent judgments makes that variation visible.
In Taleb’s hypothetical investment model, frequent observations expose an investor to many short-term losses despite favorable expected annual performance. The example shows how the observation interval can change the balance of useful information and emotional distraction.
Noise is unwanted variability in judgments that should ideally be identical. It is a major, often overlooked component of error, distinct from bias, and arises from differences between judges, inconsistent reactions to cases, and transient factors.
Noise is unwanted variation in judgments made about the same case. Clear rating scales, structured assessments, and independent opinions can reduce it. More consistent judgments can still be biased or wrong, so noise reduction should be assessed alongside accuracy, fairness, and cost.
Dennett uses a virtual hotel to explain how simulations omit incidental effects unless those effects are modeled. He argues that this simplification can limit opportunities for serendipity in simulated evolution and creativity, while also making models efficient and informative.
Noise is information that does not help with the decision at hand; signal is information worth acting on. Taleb contrasts habitual overreaction with composure to argue that responding to every fluctuation can lead to needless intervention.
A logical fallacy where the conclusion does not follow from the premises; the evidence or reason presented is irrelevant or adds very little support to the conclusion.
Some threats are difficult to estimate because they are rare or have no clear precedent. Organizations can prepare by building the capacity to absorb disruption and recover, while using available evidence to assess risks and choose precautions.
János Bolyai’s non-Euclidean geometry uses a different rule for parallel lines, showing that Euclidean geometry is not the only consistent geometric system.
Negating a universal claim produces an existential claim: at least one case fails the condition. Negating an existential claim produces a universal claim: no case meets the condition. Proving either negation requires evidence or reasoning appropriate to its scope.
Banasiewicz uses non-generalizable objectivity to describe treating anecdotes or unrepresentative samples as a basis for broad conclusions. A large collection of reviews can still mislead if the reviewers’ circumstances differ from those of the people the conclusion concerns.
A lateral thinking concept that moves beyond standard geometrical patterns to constructing new patterns in complex situations, illustrated by the puzzle of describing a milk bottle with half a pint of water.
Everyday language uses 'if...then' in ways that are not governed by strict logical implication. Being 'alogical' (non-logical) is different from being 'illogical' and is often necessary, while illogicality is undesirable.
Taleb argues for choosing interventions according to their likely benefits, harms and effects on fragility. Some systems benefit from room to adapt; others require firm limits or urgent action. The task is to distinguish those situations rather than favor intervention or restraint in every case.
Non-systematic influences on organizational decision-making are situational factors beyond systematic market, competitive, societal, and technological forces. They group into estimable risks (recurring adverse events) and non-estimable threats (irregular or not-yet-materialized dangers).
A noncausal base rate describes how common something is without offering an obvious causal explanation of the case. The studies discussed here found that responses to these problems differed from responses to causal base-rate problems, raising questions about how participants interpreted them.
A noncompensatory set of weights in a linear model means each weight is larger than the sum of all smaller weights. Take the Best has equivalent accuracy when the order of cue validities matches the order of those weights.
System boundaries are artificial constructs created for analysis. Drawing boundaries too narrowly can lead to surprises, while drawing them too broadly can obscure answers. The key is to maintain mental flexibility and choose appropriate boundaries for each problem.
In complex systems, relationships between variables are often nonlinear, causing feedback loops to shift dominance unpredictably. The spruce budworm example shows how this nonlinearity leads to periodic ecological cycles and how human interventions can destabilize the system.
As a system grows, its costs, output, and dependencies may change at different rates. The history of artificial lighting illustrates how wider access can require new production and distribution systems, with new benefits and vulnerabilities.
Nonlinearities describe relationships where changes in variables do not produce proportional or constant effects, contrasting with the rarity of linearity in real-world phenomena.
A nonlinear dose-response curve can rise, level off, and reverse, so more input need not produce more benefit. Taleb uses this pattern to argue for practical limits and simplicity.
When a system is nonlinear (curved inward), the average (first-order effect) can be misleading; the variability (second-order effect) becomes crucial. The example of a grandmother exposed to extreme temperatures illustrates how convexity makes average temperature irrelevant and why dispersion matters.
Expecting steady, proportional progress can mislead when a process is nonlinear. Taleb uses learning plateaus and threshold payoffs to explain why results may arrive unevenly. A delay alone does not establish that a breakthrough will follow.
People cheat significantly more when dishonesty involves nonmonetary items (like tokens, goods, or services) compared to cash, because they can rationalize acts that are one step removed from money. Experiments show that cheating more than doubles when tokens replace immediate cash, even when tokens are immediately exchangeable for cash.
Taleb’s nonprediction approach focuses on how a system responds to shocks when forecasting the shocks is difficult. Assessing and reducing fragility can guide decisions without requiring a precise prediction of the next rare event.
A nonpredictive approach examines exposure to harm rather than relying on forecasts of rare events. Taleb distinguishes making a system robust to disruption from making it antifragile, so that it can benefit from some forms of variability.
A 501(c)(3) designation does not establish that an organization’s claims are accurate or its work is effective. Assess its record, funding, and evidence rather than treating nonprofit status as proof of trustworthiness.
Intuitive forecasts can match the extremity of the evidence instead of accounting for how imperfectly it predicts the outcome. Kahneman calls these forecasts nonregressive: an unusually impressive description receives an equally impressive prediction, with too little adjustment toward the relevant average.
A cognitive bias where conclusions are drawn from samples that do not accurately represent the broader population, leading to flawed generalizations and decisions.
Kahneman and Miller propose that an event can recruit remembered or imagined alternatives that become a norm for comparison. Their account supplements anticipation-based explanations by showing how surprise can arise from evaluation after the event.