Base Profile

Daniel Kahneman

Father of behavioral economics who overturned the rational-agent assumption with dual-system cognitive theory

Daniel Kahneman was one of the most influential psychologists of the 20th century and the only psychologist to win the Nobel Prize in Economics (2002). His decades-long collaboration with Amos Tversky overturned the rational-agent assumption of classical economics, founding Prospect Theory and systematically exposing the cognitive biases and heuristics governing human decisions. His dual-system framework — System 1 (fast, intuitive) versus System 2 (slow, deliberate) — became a cornerstone of modern cognitive science, and his bestselling book Thinking, Fast and Slow brought these insights to millions of readers worldwide. Kahneman passed away on March 27, 2024, at age 90.

PsychologyBehavioral EconomicsCognitive ScienceDecision ResearchEra 1961-2024Influence 95

Controversy TagsReplication crisis affecting some early researchClaims about algorithmic superiority criticized as overstatedEthical controversies around behavioral economics policy applicationsPublic disagreements with collaborators in later years

Reading List

Thinking, Fast and Slow

Daniel Kahneman · 2011

The magnum opus of Kahneman's lifelong research, using the System 1/System 2 fra…

Noise: A Flaw in Human Judgment

Daniel Kahneman, Olivier Sibony, Cass R. Sunstein · 2021

An important late-career work in which Kahneman extends his research from system…

Judgment Under Uncertainty: Heuristics and Biases

Daniel Kahneman, Paul Slovic, Amos Tversky (eds.) · 1982

A collection of the core papers from Kahneman and Tversky's collaborative period…

The Undoing Project: A Friendship That Changed Our Minds

Michael Lewis · 2016

Michael Lewis's detailed biographical account of the Kahneman-Tversky collaborat…

Influence: The Psychology of Persuasion

Robert B. Cialdini · 1984

Kahneman explicitly cites and recommends Cialdini's research in Thinking, Fast a…

Thought System

Core Knowledge Graph

Core Beliefs

Human Thinking Is Driven by Two Fundamentally Different Systems

System 1 is automatic, fast, and intuitive, handling most everyday decisions; System 2 is slow, deliberate, and effortful, used for complex analysis. Most decision errors occur when System 1's automatic responses are mistaken for System 2's rational judgments.

Source: Thinking, Fast and Slow by Daniel Kahneman, Farrar, Straus and Giroux, 2011 / A perspective on judgment and choice: Mapping bounded rationality, Kahneman, American Psychologist, 2003

The Pain of Losses Outweighs the Pleasure of Equivalent Gains

Humans are roughly twice as sensitive to losses as to equivalent gains; this asymmetry (loss aversion) explains why people take greater risks to avoid losses than to achieve gains of the same magnitude.

Source: Prospect Theory: An Analysis of Decision under Risk, Kahneman & Tversky, Econometrica, 1979 / Thinking, Fast and Slow by Daniel Kahneman, Farrar, Straus and Giroux, 2011

Cognitive Ease Systematically Distorts Judgment

When information processing feels easy, people tend to believe it is true, familiar, and pleasant; this cognitive ease is the root of many biases, including the mere exposure effect, framing effects, and availability heuristic.

Source: Thinking, Fast and Slow by Daniel Kahneman, Farrar, Straus and Giroux, 2011

The Experiencing Self and the Remembering Self Have Fundamentally Different Interests

The experiencing self lives in each moment; the remembering self only retains peaks and endings. We make decisions based on the remembering self, but it is the experiencing self that actually lives. The Peak-End Rule reveals how this split systematically distorts our choices.

Source: Thinking, Fast and Slow by Daniel Kahneman, Farrar, Straus and Giroux, 2011 / Experienced utility and objective happiness: A moment-based approach, Kahneman et al., 2000

Overconfidence Is the Most Pervasive and Damaging Bias in Human Judgment

Experts and laypeople alike systematically overestimate the accuracy of their predictions and underestimate uncertainty. The planning fallacy — underestimating time and cost for projects — is one of the most destructive manifestations of overconfidence.

Source: Thinking, Fast and Slow by Daniel Kahneman, Farrar, Straus and Giroux, 2011 / Intuitive prediction: Biases and corrective procedures, Kahneman & Tversky, 1979

Mental Models

System 1 and System 2 Dual-Process Framework

Fast intuition (System 1) and slow deliberation (System 2) jointly drive human decisions; understanding their boundaries is the first step to improving judgment.

Panic selling during a market crash is a classic case of System 1's emotional response overriding System 2's rational analysis.

Everyday decisionsProduct designUser experienceRisk assessment

Prospect Theory

People's responses to gains and losses are asymmetric: the pain of a loss is roughly twice the pleasure of an equivalent gain, and probability perception is nonlinear.

Insurance companies exploit loss aversion to sell unnecessary extended warranties; consumers pay a premium to avoid 'losses' even when the expected value is unfavorable to them.

Investment decisionsPricing strategyNegotiationBehavioral finance

Peak-End Rule

People's memory of an experience is determined primarily by its most intense moment (peak) and its ending, not by its total duration or average intensity.

Kahneman's colonoscopy experiment found that deliberately slowing the withdrawal at the end (reducing ending pain) led patients to rate the overall experience significantly better, even though the total duration of discomfort was longer.

User experience designHealthcare servicesCustomer satisfactionEvent planning

Availability Heuristic

People estimate the frequency or probability of events by how easily examples come to mind, systematically overestimating risks associated with vivid or recent events.

After 9/11, the vivid imagery of plane crashes was highly available in memory, causing many Americans to switch to driving — statistically far more dangerous than flying.

Risk perceptionMedia and public policyInvestment psychologyInsurance pricing

Planning Fallacy

People systematically underestimate time, cost, and risk in project planning while overestimating benefits, due to over-reliance on inside-view thinking and neglect of base rates.

The Scottish Parliament building was initially budgeted at £40 million and ultimately cost £400 million — a classic policy case of the planning fallacy.

Project managementStartup planningEngineering budgetsPersonal goal setting

Values & Paradoxes

Intellectual Honesty98

Empirical Rigor96

Rational Decision-Making94

Intellectual Humility92

Interdisciplinary Collaboration88

Researching Happiness While Admitting He Was Not Particularly Happy

Kahneman devoted enormous effort to studying well-being and experienced utility, yet admitted in multiple interviews that he was an anxious person and not particularly happy — himself caught in the very split between experiencing and remembering that his research revealed.

Critiquing Intuition While Relying on Intuition to Do Research

Kahneman systematically exposed the errors of intuitive judgment, yet his collaboration with Tversky was itself highly intuitive — generating insights through informal conversations and improvised experiments rather than strict hypothesis-testing protocols.

Championing the Outside View While Showing Overconfidence in Late-Career Noise Research

In his later career, Kahneman aggressively promoted the noise-reduction framework from Noise, but some academic peers argued his claims about algorithmic superiority were too absolute, insufficiently accounting for the adaptive value of human judgment in specific contexts.

Evolution Phases

Perception and Attention Research Phase

1961-1968

IDF psychometric assessment, attention resource allocation research

Kahneman completed his doctorate at Hebrew University, served as a psychologist in the IDF designing pilot selection tests, and began studying attention and cognitive resources during a visiting period at Michigan. His first book Attention and Effort (1973) established the theoretical foundation for limited cognitive resources.

Heuristics and Biases Research Phase (Collaboration with Tversky)

1969-1984

Collaboration with Amos Tversky to systematically expose cognitive biases in human judgment

This was the most creatively fertile phase of Kahneman's career. He and Tversky co-published a series of foundational papers, including availability heuristic (1973), representativeness heuristic (1974), and Prospect Theory (1979). These works fundamentally challenged the rational-agent assumption in economics and founded the field of behavioral economics.

Well-Being and Experienced Utility Research Phase

1985-2002

Experienced utility, Peak-End Rule, well-being measurement methodology

After Tversky's death in 1996, Kahneman shifted toward well-being research, proposing the distinction between experienced and remembered utility, and the Peak-End Rule. He developed new well-being measurement tools such as the Day Reconstruction Method (DRM) and received the Nobel Prize in Economics in 2002.

Popularization and Noise Research Phase

2003-2024

Publication of Thinking, Fast and Slow, noise and decision-improvement framework

Thinking, Fast and Slow (2011) became one of the world's bestselling psychology books, bringing decades of research to a mass audience. Noise (2021), co-authored with Olivier Sibony and Cass Sunstein, extended the research from bias to random variability in judgment. Kahneman passed away on March 27, 2024.

Methodology Cards

5 Callable Cards

System 2 Activation Checklist

kahneman-001

Before important decisions, use structured questions to deliberately activate System 2 and prevent System 1's automatic responses from dominating the outcome.

Assess the importance and reversibility of the current decision: high-stakes, low-reversibility decisions must trigger System 2.
Ask yourself: 'Is my current judgment based on intuition or evidence?' If intuition, proceed to the next step.
Actively seek evidence against your current judgment (pre-mortem analysis: assume this decision failed — what caused it?).
Look up relevant base rates: what is the historical success rate of similar decisions?

Major investment decisionsHiring decisionsStrategic choicesMedical diagnosis

Anti-Patterns

Do not force System 2 activation for all decisions — cognitive resources are limited and must be selectively deployed.
System 2 activation does not mean analysis paralysis — always set a decision deadline.

The premise of this book is that it is easier to recognize other people's mistakes than our own. The main purpose is to improve the ability to identify and understand errors of judgment and choice, in others and eventually in ourselves.
Thinking, Fast and Slow by Daniel Kahneman, Farrar, Straus and Giroux, 2011

Reference Class Forecasting

kahneman-002

Replace subjective projections about this specific project with historical statistics from a reference class of similar projects to systematically counter the planning fallacy.

Define the type of project you are planning (e.g., IT system upgrade, new product development, public infrastructure).
Look up historical data for similar projects: average completion time, cost overrun rate, success rate.
Compare your initial project forecast with historical base rates — your forecast will typically be far more optimistic.
Anchor your forecast to historical base rates: if similar projects average 40% cost overruns, adjust your budget accordingly.

Project budget planningProduct launch timelinesStartup fundraising forecastsPolicy cost assessment

Anti-Patterns

Do not reject base rates because 'our project is unique' — every project manager believes this.
Poorly chosen reference classes produce distorted base rates; carefully define the boundaries of the reference class.

The outside view is implemented by identifying a reference class, obtaining the statistics of the reference class, and using them to generate a baseline prediction.
Thinking, Fast and Slow by Daniel Kahneman, Farrar, Straus and Giroux, 2011

Peak-End Experience Design Framework

kahneman-003

Maximize users' positive memory evaluation of the overall experience by deliberately designing the peak moment and the ending moment.

Map the complete user experience journey, marking the emotional intensity (positive/negative) of each touchpoint.
Identify the natural peak in the current journey (the most intense moment): is it positive or negative?
Identify the ending moment of the current journey: what is the user's final feeling when they leave?
Design or amplify the positive peak: invest resources beyond expectations at the moment users care about most.

Product UX designHealthcare service processesRetail store experienceEvent and conference design

Anti-Patterns

Do not optimize only the peak while ignoring baseline experience — a too-low baseline creates negative peaks.
Ending optimization should not come at the expense of the overall experience — find the right balance.

A story is about significant events and memorable moments, not about time passing. Duration neglect is normal in a story, and the ending often defines its character.
Thinking, Fast and Slow by Daniel Kahneman, Farrar, Straus and Giroux, 2011

Prospect Theory Pricing and Framing Strategy

kahneman-004

Leverage reference dependence and loss aversion to make the same option dramatically more or less acceptable through framing design.

Identify the user's reference point: what are they using as a comparison benchmark (status quo, expectation, competitor)?
Present your option as 'avoiding a loss' relative to the reference point rather than 'gaining a benefit' (loss framing is more persuasive than gain framing).
Segregate gains, integrate losses: multiple small gains feel better than one equivalent large gain; one large loss feels better than multiple small losses.
Design anchors: present a high-price option first to make subsequent options seem reasonable.

Product pricing designNegotiation strategyPublic policy promotionMarketing copy

Anti-Patterns

Framing strategy must not be used for deceptive manipulation — the ethical boundary is the truthfulness of information.
Over-reliance on loss framing may trigger user anxiety and negative brand sentiment.

Losses loom larger than gains. The response to losses is stronger than the response to corresponding gains.
Prospect Theory: An Analysis of Decision under Risk, Kahneman & Tversky, Econometrica, 1979

Decision Hygiene: Organizational Debiasing Process

kahneman-005

Systematically reduce bias and noise in organizational decisions through structured decision processes — independent judgment, delayed aggregation, and diverse perspectives.

Require decision participants to write down their independent judgments before discussion (preventing anchoring and conformity effects).
Delay aggregation: collect all independent judgments before beginning discussion to avoid the first speaker anchoring the entire conversation.
Introduce structured debate: explicitly assign a 'devil's advocate role' to ensure someone systematically raises objections.
Use rating scales rather than open-ended discussion: convert vague judgments into comparable numbers.

Investment committee decisionsPerformance evaluationLegal sentencingMedical diagnosis panels

Anti-Patterns

Decision hygiene processes cannot replace domain expertise — they only reduce judgment error.
Excessive structuring can stifle creative judgment; balance between rigor and flexibility is needed.

Wherever there is judgment, there is noise — and more of it than you think.
Noise: A Flaw in Human Judgment by Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein, Little, Brown Spark, 2021

Decision Timeline

9 Key Events

1954

Joined the IDF and Designed the Pilot Psychological Assessment System

Context: In the early years of the Israeli state, the IDF urgently needed scientific personnel selection methods; Kahneman was assigned to the assessment unit as a psychology soldier.

Decision: Designed structured interviews and psychometric tools to replace subjective-impression-based traditional interviews.

Reasoning: He observed that interviewers' intuitive judgments were highly biased and had very low predictive validity, believing systematic assessment could significantly improve selection accuracy.

Outcome: The assessment system he developed remains a foundation of IDF personnel selection to this day; this experience planted the seed for his lifelong research on human judgment biases.

Lesson: Human intuitive judgment systematically fails in high-stakes selection contexts; structured processes can significantly improve predictive accuracy.

kahneman-model-system1-system2

1969

Began Landmark Collaboration with Amos Tversky

Context: Kahneman invited Tversky to give a seminar talk at the Hebrew University psychology department; the two then discovered they shared remarkably aligned intuitions about human judgment errors.

Decision: Abandoned their separate independent research directions to begin decades of close collaboration studying systematic biases in human judgment and decision-making.

Reasoning: Their thinking styles were highly complementary — Kahneman excelled at generating intuitive insights while Tversky excelled at formalizing them into rigorous theory — a combination that could produce results far beyond what either could achieve alone.

Outcome: The collaboration produced a series of papers that transformed social science, including the heuristics and biases series (1970s) and Prospect Theory (1979), ultimately laying the foundation for behavioral economics.

Lesson: The most creative intellectual breakthroughs often come from partnerships with complementary thinking styles, not from solitary genius working alone.

kahneman-model-availability-heuristic

1973

Published 'Judgment Under Uncertainty: Heuristics and Biases'

Context: Mainstream economics still rested on the rational-agent model, assuming human decisions broadly followed Bayesian reasoning; Kahneman and Tversky's research posed a fundamental challenge.

Decision: Published a landmark review article in Science, systematically presenting the availability, representativeness, and anchoring heuristics and the systematic biases they produce.

Reasoning: Laboratory evidence was sufficiently robust to warrant a comprehensive paper explaining the systematic deviations between human judgment and rational models to the broader academic community.

Outcome: The paper became one of the most cited psychology papers of the 20th century, launching an academic revolution in behavioral economics and triggering paradigm shifts in economics, medicine, law, and other fields.

Lesson: A clear taxonomic framework (three heuristics) drives paradigm shifts more effectively than individual experimental findings; systematizing psychological discoveries is the key to maximizing impact.

kahneman-model-availability-heuristickahneman-model-system1-system2

1979

Published Prospect Theory, Overturning Economic Utility Theory

Context: Von Neumann-Morgenstern expected utility theory was the cornerstone of economic decision theory; Kahneman and Tversky discovered through extensive experiments systematic anomalies the theory could not explain.

Decision: Published Prospect Theory in Econometrica, proposing a value function and probability weighting function to replace the utility function, fundamentally reconstructing the theory of decision under risk.

Reasoning: Experimental data consistently showed people are more sensitive to losses than gains and systematically distort extreme probabilities; an alternative theory that accurately describes human behavior was needed, not a patch on the existing one.

Outcome: Prospect Theory became one of the most-cited papers in the history of economics, the core contribution for which Kahneman received the 2002 Nobel Prize in Economics, and directly catalyzed the birth of behavioral economics as an independent discipline.

Lesson: When experimental evidence persistently contradicts mainstream theory, one should have the courage to propose an alternative rather than patch the old framework; the most influential academic contributions are often paradigm replacements, not incremental improvements.

kahneman-model-prospect-theory

1993

Published Peak-End Rule Research, Revealing the Split Between Experience and Memory

Context: Traditional well-being research assumed people could accurately recall their experiences; Kahneman discovered through colonoscopy experiments the systematic distortion of memory over experience.

Decision: Designed colonoscopy pain experience experiments, quantifying the decisive influence of peak and ending on overall experience memory by comparing real-time recording and retrospective recall.

Reasoning: If the interests of the remembering self and experiencing self are systematically inconsistent, then recall-based well-being measurement tools have fundamental flaws and new measurement methods are needed.

Outcome: The Peak-End Rule became an important theoretical tool for user experience design, healthcare service design, and customer satisfaction research, profoundly influencing experience design practices in the service industry.

Lesson: The key to optimizing experience is not raising the average level but carefully designing peak moments and ending moments; duration has far less impact on memory evaluation than people intuitively believe.

kahneman-model-peak-end-rule

2002

Received the Nobel Prize in Economics, Becoming the First Psychologist to Win It

Context: The Nobel Prize in Economics had historically been awarded to economists; Kahneman receiving it as a psychologist marked the formal recognition of behavioral economics by mainstream economics. His collaborator Tversky had died in 1996 and could not share the prize.

Decision: Accepted the Nobel Prize and in his acceptance speech emphasized Tversky's joint contributions, publicly expressing regret that he could not share the honor with his dear friend.

Reasoning: The Nobel Committee recognized the fundamental contribution of Prospect Theory and heuristics-and-biases research to economic theory; this was also the highest-level validation of psychological methodology entering economic research.

Outcome: The Nobel Prize greatly elevated the academic standing of behavioral economics, promoted the application of behavioral insights in policy-making, and catalyzed the creation of behavioral policy labs worldwide (such as the UK Behavioural Insights Team).

Lesson: The highest recognition for cross-disciplinary research often comes from the very discipline being challenged; psychology's contribution to economics was ultimately validated in the form of an economics prize.

kahneman-model-prospect-theorykahneman-model-availability-heuristic

2011

Published Thinking, Fast and Slow, Bringing Behavioral Economics to a Global Mass Audience

Context: Kahneman's decades of academic research findings were scattered across specialist journals, inaccessible to ordinary readers; he wanted to present these insights in a readable form for a broader audience.

Decision: Used the System 1/System 2 framework as a unifying narrative thread to integrate Prospect Theory, Peak-End Rule, planning fallacy, and other core research into a book for a mass audience.

Reasoning: Academic influence needs to be translated through mass communication to drive social change; a book written for ordinary people can change decision-making practices more than a hundred academic papers.

Outcome: Thinking, Fast and Slow became one of the world's bestselling nonfiction books, selling millions of copies, translated into 30+ languages, and profoundly influencing management, medicine, public policy, and personal decision-making practice.

Lesson: Translating complex academic research into frameworks understandable to ordinary people is the most effective way to amplify the social impact of knowledge; a good narrative framework (System 1/System 2) makes abstract theory actionable.

kahneman-model-system1-system2

2021

Published Noise, Extending Research from Bias to Random Variability in Judgment

Context: Kahneman noticed that even after eliminating systematic biases, human judgment still contains substantial unwarranted random variability (noise); the same judge might reach very different verdicts on the same case at different times.

Decision: Co-authored Noise with Olivier Sibony and Cass Sunstein, systematically distinguishing bias (systematic error) from noise (random error), and proposing noise-reduction decision procedures.

Reasoning: Bias had received extensive attention, but noise equally damages decision quality and is harder to detect; algorithms and structured judgment procedures can systematically reduce noise.

Outcome: Noise expanded the research frontier of behavioral economics, promoted the spread of the 'decision hygiene' concept, and influenced reform discussions in corporate performance evaluation, judicial sentencing, and medical diagnosis.

Lesson: The enemy of decision quality is not only bias but also noise; reducing random variability in judgment is as important as correcting systematic biases, yet is severely underestimated in practice.

kahneman-model-planning-fallacy

2024-03-27

Daniel Kahneman Passed Away at Age 90

Context: Kahneman remained academically active in his final years, continuing to participate in research discussions; he passed away in the United States on March 27, 2024.

Decision: Maintained a lifelong commitment to empirical methods in studying human judgment, refusing to yield to popular narratives, including publicly acknowledging replication issues in some early research in his later years.

Reasoning: Scientific progress requires honest confrontation with uncertainty; acknowledging research limitations is the core of scientific integrity and the best example for those who follow.

Outcome: Left behind an intellectual legacy that transformed economics, psychology, public policy, and business management, along with a generation of scholars, policymakers, and thinkers deeply shaped by his work.

Lesson: Intellectual honesty — including publicly acknowledging the limitations of one's own research — is the most enduring academic legacy; Kahneman's influence came from his dedication to truth, not to protecting his own image.

kahneman-model-system1-system2

Reading List

Books

Recommended by (1)

Influence: The Psychology of Persuasion

Robert B. Cialdini · 1984

Kahneman explicitly cites and recommends Cialdini's research in Thinking, Fast and Slow, arguing that principles like reciprocity and commitment in social influence are classic examples of System 1 automatic responses, highly complementary to his cognitive bias framework.

当当

Written by (3)

Thinking, Fast and Slow

Daniel Kahneman · 2011

The magnum opus of Kahneman's lifelong research, using the System 1/System 2 framework to present Prospect Theory, Peak-End Rule, planning fallacy, and other core research in a unified narrative. Kahneman notes in the book that the writing process gave him deeper insight into his own cognitive biases.

当当

Noise: A Flaw in Human Judgment

Daniel Kahneman, Olivier Sibony, Cass R. Sunstein · 2021

An important late-career work in which Kahneman extends his research from systematic bias to random variability (noise), proposing the decision hygiene framework. Kahneman stated in multiple interviews that the noise problem is more underestimated than bias and represents his most important late-career contribution.

当当

Judgment Under Uncertainty: Heuristics and Biases

Daniel Kahneman, Paul Slovic, Amos Tversky (eds.) · 1982

A collection of the core papers from Kahneman and Tversky's collaborative period, including foundational research on availability heuristic and representativeness heuristic. Kahneman regarded this book as the systematic presentation of the behavioral economics research program.

当当

About (1)

The Undoing Project: A Friendship That Changed Our Minds

Michael Lewis · 2016

Michael Lewis's detailed biographical account of the Kahneman-Tversky collaboration, for which Kahneman gave deep-access interviews and full cooperation. This is the most authoritative narrative text for understanding their partnership and research context.

当当

Influence Network

Origins, Contemporaries & Legacy

Influenced By

Amos Tversky · Core Collaboration Partner

Tversky was Kahneman's most important intellectual partner; their collaboration produced Prospect Theory and the heuristics-and-biases research. Kahneman publicly stated that his solo work was far inferior to what he produced with Tversky.

Kurt Lewin · Methodology Pioneer

Lewin's field theory and experimental social psychology methodology provided Kahneman with a methodological framework for applying psychology to real-world decision contexts.

Ward Edwards · Decision Theory Foundation

Edwards introduced Bayesian decision theory into psychology research; Kahneman and Tversky's early work experimentally tested and challenged Edwards' Bayesian-man assumption.

Influenced

Richard Thaler · Behavioral Economics Heritage

Thaler applied Kahneman and Tversky's psychological findings to economic theory, developing mental accounting and nudge theory, and received the Nobel Prize in Economics in 2017.

Cass Sunstein · Policy Application

Sunstein applied behavioral economics insights to public policy design, co-authored Noise with Kahneman, and promoted the establishment of nudge policy labs worldwide.

Dan Ariely · Behavioral Economics Popularization

Ariely further popularized Kahneman's research framework, bringing behavioral economics to mass audiences through books like Predictably Irrational.

Co-thinkers

Amos Tversky · Partner

Kahneman's most important collaborator, co-founding Prospect Theory and the heuristics-and-biases research framework. Kahneman himself described their collaboration as the happiest and most creatively fertile period of his academic career.

Richard Thaler · Discipline Co-builder

Co-founder of behavioral economics; Thaler translated Kahneman's psychological findings into economic theory, and together they drove behavioral economics into the mainstream.

Charlie Munger · Parallel Thinker

Munger independently developed from an investment practice perspective a psychological bias checklist that closely parallels Kahneman's work; both emphasized the destructive impact of systematic cognitive biases on decision-making, representing the convergence of academic psychology and investment practice on human judgment.

Peer Reviews

Danny is the most distinguished living psychologist in the world, bar none. His contributions to psychology and economics have been transformative.
Richard Thaler · Interview with The Guardian, 2011, on the publication of Thinking, Fast and Slow

Kahneman's work has done more to advance our understanding of human decision-making than any other single body of research.
Lawrence Summers · Tribute remarks, Harvard University, 2002, upon Kahneman's Nobel Prize announcement

He changed the way we think about thinking. His collaboration with Tversky was one of the most productive partnerships in the history of science.
Michael Lewis · The Undoing Project: A Friendship That Changed Our Minds, W. W. Norton & Company, 2016

正在打开人物节点

Daniel Kahneman

Core Knowledge Graph

Core Beliefs

Human Thinking Is Driven by Two Fundamentally Different Systems

The Pain of Losses Outweighs the Pleasure of Equivalent Gains

Cognitive Ease Systematically Distorts Judgment

The Experiencing Self and the Remembering Self Have Fundamentally Different Interests

Overconfidence Is the Most Pervasive and Damaging Bias in Human Judgment

Mental Models

System 1 and System 2 Dual-Process Framework

Prospect Theory

Peak-End Rule

Availability Heuristic

Planning Fallacy

Values & Paradoxes

Researching Happiness While Admitting He Was Not Particularly Happy

Critiquing Intuition While Relying on Intuition to Do Research

Championing the Outside View While Showing Overconfidence in Late-Career Noise Research

Evolution Phases

Perception and Attention Research Phase

Heuristics and Biases Research Phase (Collaboration with Tversky)

Well-Being and Experienced Utility Research Phase

Popularization and Noise Research Phase

9 Key Events

Joined the IDF and Designed the Pilot Psychological Assessment System

Began Landmark Collaboration with Amos Tversky

Published 'Judgment Under Uncertainty: Heuristics and Biases'

Published Prospect Theory, Overturning Economic Utility Theory

Published Peak-End Rule Research, Revealing the Split Between Experience and Memory

Received the Nobel Prize in Economics, Becoming the First Psychologist to Win It

Published Thinking, Fast and Slow, Bringing Behavioral Economics to a Global Mass Audience

Published Noise, Extending Research from Bias to Random Variability in Judgment

Daniel Kahneman Passed Away at Age 90

Books

Recommended by (1)

Written by (3)

About (1)

Origins, Contemporaries & Legacy

Influenced By

Influenced

Co-thinkers

Peer Reviews