THE REFERENCE LIBRARY
A growing collection of ideas for understanding the world — and your own thinking.
Affective forecasting means predicting how you will feel in the future. Impact bias is an error in those predictions: overestimating an event’s emotional intensity or duration, sometimes by overlooking adaptation, coping, and other events.
Affective forecasting means predicting how you will feel; impact bias is overestimating the intensity or duration of that response. In the reported breakup study, forecasts of post-breakup happiness were lower than the happiness reported by participants who had experienced breakups.
In the election study described here, participants whose candidate lost later evaluated the winner more positively than they had expected. The authors treat this as preliminary support for the idea that people underestimate their emotional adaptation.
Counterfactual thinking—imagining alternative outcomes—amplifies emotional responses, especially when the actual outcome is abnormal or easily undone mentally. This leads to stronger feelings of regret, horror, or outrage in situations where a more positive alternative is readily imagined.
A formal fallacy in categorical syllogisms where the conclusion is affirmative but at least one premise is negative; valid syllogisms require a negative conclusion when a negative premise is present.
The fallacy of affirming a disjunct occurs when one mistakenly assumes an inclusive 'or' (where both options can be true) is an exclusive 'or' (where only one can be true), leading to the invalid conclusion that if one disjunct is true, the other must be false.
Affirming the consequent is a formal logical fallacy where an argument incorrectly assumes that if the consequent of a conditional statement is true, then the antecedent must also be true. This invalid reasoning confuses a necessary condition with a sufficient one.
A logical fallacy where the converse of a true conditional statement is assumed to be true. Just because 'If A, then B' is true does not logically justify 'If B, then A'.
After Action Reviews (AAR) are structured debriefs developed by the U.S. Army. In the simple form described here, a team asks: What happened? What did we expect? What can we learn from the gap? Regular review helps teams examine their assumptions and apply lessons to later work.
Critics of evidence-based practice question both the quality of available research and the approach’s effect on professional judgment. Banasiewicz argues that using evidence can support dialogue and multiple perspectives rather than exclude them.
Overly precise numbers can be misleading, creating an illusion of accuracy that disguises underlying uncertainty. This bias is common in forecasting, measurement, and decision-making, where exact decimals imply a confidence that the data cannot support.
The agency problem describes situations where one party receives benefits while another bears the costs, creating asymmetry. Heroism, the inverse, involves voluntarily taking on risks for the benefit of others, which is essential for societal antifragility.
Agile is a flexible, iterative approach to change originating in software development, emphasizing customer interaction, minimum viable products, and adaptation based on feedback. However, it is not suitable for all contexts, especially where prototyping is costly or compliance requires extensive documentation.
People tend to equate agreement with intelligence and disagreement with idiocy, a cognitive bias that hinders effective communication and collaboration.
Taleb discusses the 11th-century Arabic-language thinker Al-Ghazali, known in Latin as Algazel, as a skeptic of confident causal reasoning. He connects that critique with later philosophical and religious developments in a broad historical interpretation.
Algebra is a branch of mathematics that uses variables and equations to represent unknown values and solve quantitative problems. It is foundational in fields like physics, engineering, business, and computer science.
An algorithm is a step-by-step procedure or set of rules for solving a problem. It transforms input information into a desired output through a finite sequence of well-defined instructions.
Algorithmic thinking breaks a task into explicit steps, conditions, and a stopping point. It helps you carry out a repeatable process, inspect where it fails, and revise the procedure when its assumptions no longer fit.
Algorithms are methodical, step-by-step procedures for solving problems or making decisions, characterized by substrate neutrality, mindless steps, and guaranteed results. They are predictable recipes that can be applied in computing, biology, business, and everyday life.
An algorithm is an automated set of rules defining a series of steps or procedures to achieve a desired outcome, often expressed as If-Then statements. They are fundamental to computing and also appear in biological systems.
Harrison examines sleep paralysis, suggestive questioning, cultural expectations, and reconstructive memory as explanations for alien-abduction reports. A vivid and sincerely held memory does not by itself establish that the reported event occurred.
Sun Tzu’s image of kicking away the ladder describes commitment through removing retreat options. Applied to a group, this can create pressure to pursue a shared objective; it does not by itself align everyone’s incentives.
Every decision, from investing to parenting, involves making a choice under uncertainty, risking resources on expected outcomes. Understanding decisions as bets clarifies the role of probability, risk, and opportunity cost in everyday choices.
Organizations often assume risks are under control based on positive metrics, but critical cracks remain unnoticed until a sudden crisis erupts. This mental model highlights the danger of incomplete reporting and the failure to see that key mitigations are insufficient.
This concept explains the logical fallacy of making sweeping generalizations, such as 'all mathematicians are awkward', which can lead to stereotyping and are easily refuted by counter-examples. It highlights the danger of ignoring exceptions and the importance of precision over pedantry.
The all-or-none fallacy is the tendency to think in binary terms, misinterpreting probabilistic statements as absolute. It also involves confusing necessary conditions with sufficient causes, and committing the fallacy of affirming the consequent.
The all or nothing fallacy presents total acceptance and total rejection as the only choices when partial options are available. A common example is dismissing a policy because it cannot solve the entire problem. The relevant question is whether it can achieve enough to justify its costs.
Erikson describes Yellows as enthusiastic talkers who may delay dull or uncomfortable tasks. He recommends gentle encouragement to help someone begin without feeling controlled.
A cognitive distortion where events are viewed in black-and-white terms, with no shades of gray. This thinking drives motivated reasoning and self-serving bias, making learning from experience difficult because outcomes are seen as either 100% due to skill or 100% due to luck.
The Allais paradox shows a pair of preferences that cannot both be represented by expected utility theory. People may favor a larger, less likely prize in one choice but switch to the smaller prize when its probability becomes certain. The certainty effect offers a psychological explanation for that pattern.
Asserting a conclusion without evidence or premises, through a statement that makes the conclusion appear certain, when in fact, it is not.
This fallacy occurs when one assumes that not more than 50% of individuals can be above average, ignoring the distinction between mean and median in skewed distributions.
A lateral thinking technique where parts of a picture are covered to suppress the dominant interpretation, making it easier to generate alternative descriptions and possibilities.
This productivity technique involves alternating between high-impact (heavy) tasks and low-impact (light) tasks to maintain focus and emotional momentum. It warns against using light tasks as excuses for unproductive distractions.
When presented with just two choices that are essentially the same, worded differently, often used in sales to create a lose-lose situation.
This heuristic encourages looking at a pattern in multiple ways by focusing on different elements (e.g., large squares, small squares, lines, spaces). It then extends to generating multiple methods of performing a task, such as dividing a square into four equal pieces in various ways.
Alternative histories means evaluating a decision against the outcomes that were possible when it was made. A favorable result can follow a poor choice, and an unfavorable result can follow a well-supported one.
Evaluate a decision using the information, alternatives, and possible consequences available at the time. The result is evidence to learn from, but it cannot by itself show whether the choice was sound.
Harrison argues that treatment claims need evidence and that relying on an unproven remedy can cause harm, particularly when it delays effective care. A testimonial, a natural origin, or dissatisfaction with mainstream medicine does not establish that a treatment works.
An answer can look irrational because a participant interprets a task differently from the researcher. Evaluating it requires checking both the reasoning and the interpretation of the problem. The authors propose examining whether greater understanding and engagement lead people to accept a particular interpretation, while recognizing that the appropriate interpretation itself can be disputed.
Look for other ways to interpret a situation or solve a problem before settling on the first plausible answer. Comparing alternatives can reveal overlooked choices and clarify the value of the best option you would give up.
Generate alternatives before settling on the first plausible interpretation or design. Changing the observer, arrangement, or underlying assumption can reveal possibilities that your initial approach missed.
A thinking tool that involves generating multiple different descriptions or perspectives for a single shape, object, or idea, breaking away from fixed perceptions.
A heuristic that prompts the generation of multiple distinct solutions to a problem, exemplified by strategies to prevent children from getting lost in crowds.
This mental model explains how to evaluate choices by considering the opportunity cost of each alternative—the value of the best foregone option—and provides practical methods for comparing options, such as listing pros and cons or using weighted scores.
Restating a problem in multiple ways helps uncover different solutions by reframing the core challenge from various perspectives.
A decision-making heuristic that involves generating multiple distinct options or solutions to a problem, avoiding fixation on a single approach.
Why questions are ambiguous because they do not specify the implicit norm or unexpected aspect of the event, leading respondents to interpret the intended focus differently. This ambiguity can explain contrasting attributions observed in social psychology experiments.
Ambiguity arises when information supports more than one interpretation. In complex projects, exploring different stakeholder objectives can reveal needs and conflicts that a single agreed narrative would conceal.
Exploiting linguistic ambiguity to mislead or misrepresent, often by shifting between different meanings of a word or phrase.
In the reported study, self-ratings on positive traits rose as more criteria were available. The analysis found a main effect of criterion condition but no detected interaction with whether traits were positive or negative.
When an unclear phrase or word with multiple definitions is used in an argument, shifting meaning between premises and conclusion, the argument becomes unsupported. This fallacy relies on linguistic ambiguity to mislead.
Kahneman uses an imagined vacation that leaves no memories to explore a tension between enjoying an experience and valuing its story afterward. The thought experiment asks how much our choices serve the experiencing self and how much they serve the remembering self.
Amphiboly occurs when an argument relies on a sentence with more than one grammatical reading and shifts between those readings. Such ambiguity can produce jokes, but it can also lead to mistaken inferences in contracts, instructions, and political speech.
Reassess a plan as circumstances change or new information arrives. Galef’s account of Shellye Archambeau illustrates how revising a goal’s requirements can open an opportunity that the original plan would exclude.
Taleb describes a barbell approach to education: meet the requirements needed to pass at school, then read widely outside the curriculum. His account emphasizes curiosity, switching books when bored, and finding practical problems that give independent study a purpose.
A structured set of exercises for teaching and practicing the use of analogies to solve problems, generate ideas, and develop abstract thinking, ranging from teacher-led demonstrations to independent application.
An analogy transfers relationships or processes from a familiar situation to a problem. It can generate ideas or clarify an abstract concept. Check which features correspond and test the resulting ideas against the real situation.
Analogies can change how people feel about a situation and help them see its logic differently. By pivoting from a logically similar but emotionally neutral situation to one that evokes strong feelings, you can bypass logical arguments and engage emotions to persuade or explain.
Analogies are a lateral thinking technique that provides a starting point by transferring functions, processes, and relationships from one domain to another, stimulating new perspectives without proving anything.