Re:Thinking with Adam GrantDaniel Kahneman Doesn't Trust Your Intuition | Re:Thinking with Adam Grant
CHAPTERS
- 0:00 – 0:56
Why Kahneman rejects the “behavioral economist” label
Adam Grant introduces Daniel Kahneman and frames the conversation around decision-making, intuition, and Kahneman’s newer work on noise. Kahneman immediately pushes back on being called an economist, emphasizing his identity as a psychologist.
- •Series context: Taken for Granted within Re:Thinking/WorkLife
- •Kahneman’s Nobel recognition contrasted with his self-definition
- •Setup of themes: intuition, judgment, decision-making, and the book Noise
- 0:56 – 3:37
A better societal goal than happiness: reducing misery
Grant challenges psychology’s fixation on happiness and asks whether character should matter more. Kahneman reframes the target entirely: policy should prioritize reducing misery rather than increasing happiness.
- •Misery reduction as a clearer and more actionable societal objective
- •Different policy implications (e.g., mental health) when focusing on suffering
- •Happiness vs. misery aren’t symmetric—improving one isn’t the same as reducing the other
- •Wellbeing as a broader policy frame, but anchored on the negative pole
- 3:37 – 5:00
Critique of positive psychology: changing feelings vs. changing conditions
Kahneman argues that some positive psychology approaches can be conservative—helping people feel better without improving the circumstances causing suffering. He emphasizes addressing the sources of misery directly.
- •Positive psychology critique: adaptation to bad conditions rather than changing them
- •Priority on altering circumstances that produce suffering
- •“Bad is stronger than good” alignment with focusing on alleviation
- 5:00 – 6:52
Misery is concentrated: why happiness policies miss the real problem
Drawing on experience-sampling research, Kahneman explains that most people spend most of their time mildly positive, while suffering is concentrated in a smaller segment of the population. That implies different targets for policy and interventions.
- •Average day is positive for most people; suffering occupies a smaller share of time
- •Suffering concentrated in roughly 10–15% of the population
- •Policy tradeoff: who benefits from marginal resources—languishing vs. deeply suffering
- •The word “happiness” can misdirect attention and policy
- 6:52 – 10:28
Workplace wellbeing vs. engagement—and the workaholism nuance
Grant connects misery-reduction to organizations, arguing engagement metrics can miss broader wellbeing. Kahneman probes the distinction, and Grant explains how “engaged” can still mean unhealthy if it’s compulsive rather than intrinsically motivated.
- •Engagement as an incomplete proxy for wellbeing at work
- •Two forms of heavy work investment: intrinsically motivated vs. guilt/obsession-driven
- •Ambivalence: positive and negative motives can coexist in the same worker
- •Gallup’s engagement lens (e.g., friendship at work) as a more positive conception
- 10:28 – 12:30
The joy of being wrong: learning through surprise
Grant explores Kahneman’s unusual reaction to mistakes. Kahneman describes enjoying being surprised because it signals learning, especially in research contexts.
- •Mistakes become “positive experiences” when they reveal new information
- •Surprise as an emotional reward for updating beliefs
- •Not framed as virtue—Kahneman calls it luck/temperament
- 12:30 – 14:21
Detaching identity from ideas: abundance mindset and knowing when to quit
Kahneman explains that people cling to ideas because they feel scarce and identity-defining. His approach treats ideas as abundant, encouraging researchers to abandon weak ideas and move on to better ones.
- •Ideas are plentiful; over-investment creates rigidity
- •Identity fusion with beliefs leads to panic when an idea fails
- •Practical advice to students: don’t write long “why it failed” defenses—pivot
- •Detachment enables faster iteration toward better questions
- 14:21 – 15:39
When irrational persistence pays off—and why that doesn’t make it rational
Grant raises the risk of being too detached, citing mRNA’s long road to acceptance. Kahneman argues that systems need diverse styles; big successes often contain “irrational” optimism/persistence even if the expected value is negative.
- •Scientific progress benefits from varied temperaments (not everyone should follow same advice)
- •Retrospective bias: successes often traced to persistence that looked irrational at the time
- •Expected value of irrational persistence may be negative despite occasional jackpots
- •Caution against learning only from winners’ habits without comparing failures
- 15:39 – 18:28
Kahneman’s own biases, contrarian streak, and the coin-flip myth
Grant asks which cognitive biases Kahneman struggles with most; Kahneman answers: nearly all of them, except confirmation bias. They debunk the popular story that he flips a coin to decide—though Kahneman notes coin flips can reveal feelings.
- •Self-assessment: vulnerable to many biases; less prone to confirmation bias
- •Contrarian tendency: instinctively argues the other side in conflicts
- •Coin-flip decision story is false; he’s never used it to decide
- •Coin flips can still be useful diagnostically to surface preferences
- 18:28 – 19:26
Kahneman’s real decision style: strong intuitions—and a key distinction
Kahneman says many life choices didn’t feel like decisions because he had clear intuitions and followed them. Grant challenges the apparent contradiction with Kahneman’s skepticism of intuition, setting up the judgment vs. decision-making distinction.
- •Retrospective view: choices often experienced as non-deliberative
- •Strong intuitions reduce felt difficulty of decisions
- •Core distinction introduced: judgment errors vs. decision-making choices
- 19:26 – 22:57
Don’t eliminate intuition—delay it to prevent premature closure
Kahneman argues intuition is ultimately necessary to feel conviction, but it should come later. Early intuitions shut down information search and trigger rationalization, a pattern especially visible in hiring interviews.
- •Advice from Noise: keep intuition, but postpone it
- •Early intuitions reduce openness and increase confirmatory interviewing
- •Formal decisions (hiring, organizational judgments) benefit from structured information first
- •Intuition provides final endorsement/conviction after evidence is gathered
- 22:57 – 25:45
Israeli army interview system: structured ratings + final intuition wins
Kahneman recounts designing a structured interview for the Israeli army: assess six traits with factual questions and scores, then add an overall intuitive judgment at the end. Data showed the end-stage intuition predicted performance well and added information beyond the trait average.
- •Structured decomposition: evaluate specific traits one by one with scoring
- •Interviewer resistance: fear of becoming “robots”
- •Finding: intuition after structured evaluation was the best single predictor
- •Best practice: combine algorithmic structure with late-stage holistic judgment
- 25:45 – 26:59
Why managers love intuition: it’s easy, fast, and feels certain
Grant asks why intuition remains so seductive. Kahneman explains that careful reasoning is effortful and uncertain, while intuition offers comfort, speed, and overconfidence—often winning by default.
- •Intuition as the path of least resistance when reasoning is complex
- •Deliberation can increase discomfort and perceived indecision
- •Intuition produces confidence even when unwarranted
- •Implication: build decision processes that reduce reliance on default intuition
- 26:59 – 29:20
What Kahneman rethought after Thinking, Fast and Slow: individual differences
Kahneman admits some cited findings didn’t hold up, yet changing beliefs (“unbelieving”) is hard. His biggest rethink is that the field overfocused on averages and neglected individual differences and subgroup patterns.
- •Some evidence in the book weakened; hard to fully update beliefs
- •“Unbelieving” is psychologically difficult even for experts
- •Main reappraisal: individual differences matter; people don’t all behave like the mean
- •Research implication: more attention needed to heterogeneity, not just main effects
- 29:20 – 36:01
Choosing problems, the “gold” heuristic, collaboration lessons, and Nobel timing
Kahneman describes a largely planless career guided by curiosity and many wasted efforts—offset by luck. He explains the “inner crowd” idea (averaging two independent self-judgments improves accuracy), shares what made his work with Amos Tversky exceptional, and reflects on why winning a Nobel too early can derail careers.
- •Project selection by curiosity: “Is there gold here?” framing; many false starts
- •Inner crowd/second opinion with yourself: sample twice, average improves accuracy; “sleep on it”
- •Collaboration: genuine interest in partner’s ideas; non-competitive co-creation with Tversky
- •Nobel effect: distracting and ego-inflating when young; net positive when received late
