Apr 28, 2015 · 38m · knowledge-project
#1 Michael Mauboussin: When To Trust Your Gut
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In the inaugural episode of The Knowledge Project, host Shane Parrish interviews investor and author Michael Mauboussin on the cognitive boundaries of intuition, probabilistic decision-making, and the interdisciplinary reading habits required for continuous learning.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Shane holds 15.8% of the talking time here. How this is scored →
Shane as informed peer 3.3 Guest teaching 4.8 Guest disagreement 0.2 Shane pushing back 0.1
speaking balance: gold is Shane, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 18:59 Reframing status-quo resistance as a communication problem
Michael gently counters Shane's cynical characterization of top executives lacking humility by suggesting that friction is often a matter of poor framing and can be solved by pitching low-cost experiments.
Hardest push from Shane ▶ 18:20 Shane pushes back on executive humilityShane challenges the ease of implementing good decision processes by noting that high-level leaders often have strong incentives to preserve their gut-based authority and rarely show humility.
Biggest teaching moment ▶ 24:30 Masterclass on Colonel Blotto underdog strategyMichael clearly explains game theory mechanics, detailing how underdogs can defeat stronger opponents by multiplying battlefields and avoiding head-to-head resource matches.
Shane holds their own ▶ 30:54 Shane cites Tetlock and the Good Judgment ProjectShane shows deep domain familiarity by bringing up Philip Tetlock's research on superforecasting and open-mindedness to guide the discussion on adult cognitive flexibility.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Shane as informed peer | Guest teaching | Guest disagreement | Shane pushing back | Why |
|---|---|---|---|---|---|---|
| Michael Mauboussin's Daily Routine and Time Chunking | 2 | 2 | 0 | 0 | Shane initiates the conversation by asking Michael about his daily routine and approach to time chunking. Michael shares his habits around sleep, physical exercise, and uninterrupted blocks of research. | |
| Technology Distractions and the Value of Physical Books | 3 | 2 | 0 | 0 | Shane relates to digital distractions and prompts Michael on physical versus electronic reading. Michael explains his spatial memory for physical books and note-taking habits. | |
| Reading Strategies, Note-Taking, and Organizing Knowledge | 4 | 6 | 1 | 0 | Shane introduces the subject of intuition in decision-making. Michael delivers a comprehensive breakdown differentiating linear vs nonlinear domains and introduces Daniel Kahneman's concept of disciplined intuition. | |
| Deliberate Practice and the Essential Role of Feedback | 3 | 6 | 0 | 0 | Shane asks how to hone intuition and learn from others' decision processes within teams. Michael draws on Anders Ericsson's deliberate practice framework and discusses process over outcome. | |
| Assessing Probabilistic Decisions in Complex Dynamic Environments | 4 | 6 | 0 | 0 | Shane frames the challenge of evaluating decision processes in dynamic, non-linear environments. Michael discusses the difficulty of evaluating probabilistic decisions and the role of poker training for probabilistic thinking. | |
| Nudging Institutional Processes and Embracing Low-Cost Experimentation | 4 | 3 | 1 | 1 | Shane raises the tension of low-level employees confronting un-humble executives who rely on gut feel. Michael provides a pragmatic reframe proposing low-cost experimentation and positive communication. | |
| The Expert Squeeze and the Growing Role of Technology | 3 | 5 | 0 | 0 | Shane asks how technology impacts decision architecture. Michael details the expert squeeze, contrasting quantitative algorithms with emotionally biased human judgment. | |
| Strategic Principles of the Colonel Blotto Game | 3 | 7 | 0 | 0 | Shane asks about the Colonel Blotto game. Michael delivers a mini-masterclass on game theory, asymmetric resource allocation, and underdog strategies. | |
| Teaching Children Critical Thinking, Mindset, and Probability | 3 | 6 | 0 | 0 | Shane asks about teaching critical thinking to children. Michael explains applying Carol Dweck's growth mindset, teaching expected value through sports bets, and explaining the Monty Hall problem. | |
| Cultivating Open-Mindedness and Bayesian Updating in Adults | 5 | 5 | 0 | 0 | Shane demonstrates expertise by citing Philip Tetlock and the Good Judgment Project. Michael elaborates on the mechanics and cognitive friction of Bayesian updating. | |
| Influential Books on Evolution, Consilience, and Complexity | 3 | 5 | 0 | 0 | Shane prompts Michael for foundational book influences. Michael discusses Daniel Dennett, E.O. Wilson's consilience, and Mitch Waldrop's work on complex adaptive systems. | |
| Current Reading: Analyzing People Operations in Work Rules! | 3 | 4 | 0 | 0 | Shane asks for current reads and future guest ideas. Michael recommends Laszlo Bock's Work Rules, Ed Catmull, and Michael Gazzaniga's neuroscience research. |
Statements from this episode (18)
Mauboussin: Mental recall is significantly better with physical books than e-readers
“As for reading and I don't know if this is a generational thing, but I still prefer physical books to reading on the Kindle, so I might read on the Kindle on a plane or something, but usually I'll do shorter reads versus long reads, but mostly I like physical …”
Mauboussin: Writing and Speaking Forces Deeper Material Comprehension
“So I find myself often using things in my own research, and that is actually incredibly useful, because when I write about it, or I have to speak about it typically means I need to understand the material reasonably well.”
Mauboussin Recommends Mortimer Adler's 'How to Read a Book' Framework
“But most of the books, you know, the great book, how to read a book, you know, is, is what I would recommend most people do in talking about different levels of attention that you would Mortimer Adler, different levels of attention you might pay to different t…”
Mauboussin: Intuition fails in unstable, non-linear environments
“The key characteristic is gonna work in what I would call stable, linear environments. Stable, linear environments. Athletics would be another example. For history, for long parts of history, it was in warfare. Certain elements of warfare would work. But if yo…”
Mauboussin: Decision-makers must start with base rates before intuition
“You should always start with the base rate, sort of the statistical approach, and then layer in your intuition. So he called it disciplined intuition. And, ah, otherwise, if you go with your intuition first, you're going to seek out, right, you're going to see…”
Mauboussin: Training System 1 Expertise Requires Structured Deliberate Practice and Feedback
“To really train your system, one, to be really, really good, I think it requires, you know, that structure, deliberate practice, and I think the essential element there is is feedback.”
Mauboussin: The optimal decision-making team size is well under 10 people
“There is an optimal size for a team, and it's not 10, right? There's not 15. So people will complain, we have too many people, and that's dilutive to what we're trying to do.”
Mauboussin: Strong views from senior leaders immediately suppress alternative perspectives
“Someone in the room, ah, the senior leader, for example, might express his or her view very strongly, and that immediately suppresses alternative points of view.”
Mauboussin: Organizations emphasize diversity without knowing how to manage it
“I think a lot of organizations of all stripes, Emphasize the virtues of diversity, which are, which certainly is of some value, but they're not necessarily clear on how to manage diversity, right? So it's not just to have it. It's how do you take advantage of …”
Mauboussin: CEOs make fewer, more consequential, probabilistic decisions than line workers
“As you move up in the organization, interestingly, you're probably making fewer decisions on average. So a CEO is making fewer decisions than, for example, a line employee. They're obviously more consequential decisions, but they also tend to be much more prob…”
Mauboussin: Equating outcomes directly with decision quality is a big mistake
“The natural thing we all do then, of course, is after the fact, is say, successes should be equated with good decisions Decisions and failures equated with bad decisions, and that's a really big mistake in a lot of circumstances.”
Mauboussin: Some investment firms teach employees poker to train probabilistic thinking
“And so there are some investment organizations, for instance, that teach their employees how to play poker, right? To think about probabilities, to think about pot odds, right?”
Mauboussin: Reversible Experiments Help Overcome Managerial Resistance to Change
“Another card to play in that is experimentation. Say, let's try it this way for, you know, this subset or for this period of time. And if it works out great, and if it doesn't work out, we'll revert to what we were doing before. So just, if that's not too cost…”
Mauboussin: Algorithms improve decisions by removing emotion and utilizing base rates
“They're good at looking at lots of data. They're good at establishing and understanding base rates. So, for example, if you're thinking about an appropriate reference class for a particular decision, your technology will allow you to access that reference clas…”
Mauboussin: Weaker players should multiply battlefields while stronger players simplify
“The simple rules, by the way, is if you're the stronger player,
What you want to do in a head-to-head competition, what you want to do is simplify the game.
In other words, have as few battlefields as possible, so you're almost assured that your skill will ove…”
Mauboussin: People struggle to update probability estimates by the proper magnitude
“It's extremely difficult, and even if I get you to move in the right direction, I often can't get you to move the appropriate amount, so on, so forth.”