Jan 2, 2019 · 32m · a16z
a16z Podcast | The Best Way To Be Smart ... Is To Not Be Stupid
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of the a16z podcast, guest Tren Griffin discusses insights from his book Charlie Munger: The Complete Investor, exploring how decision-makers can achieve superior outcomes by cultivating mental models, avoiding cognitive biases, and practicing intellectual humility. By focusing on avoiding avoidable mistakes rather than seeking extraordinary brilliance, individuals across business and life can drastically improve their long-term decision-making.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →
The host as informed peer 4.0 Guest teaching 4.4 Guest disagreement 1.7 The host pushing back 2.0
speaking balance: gold is the host, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 27:45 Litmus test for active investors
Tren forcefully asserts that individuals who lack the interest to read his book or study moats are too lazy to pick individual stocks and should default to index funds.
Hardest push from the host ▶ 30:24 Refusing summary to insist on defining riskSonal explicitly cuts off Tren's attempt to wrap up the interview, demanding that they stop and focus specifically on defining risk.
Biggest teaching moment ▶ 4:07 Reframing behavioral economics and complexityTren corrects the host's premise that behavioral economics fell out of favor due to failure, educating them that its core purpose is building margins of safety rather than generating predictions.
The host holds their own ▶ 8:28 Citing Jacobi's inversion principleSonal demonstrates clear subject mastery by immediately interjecting to attribute Munger's 'invert, invert' phrase to mathematician Carl Jacobi.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The host as informed peer | Guest teaching | Guest disagreement | The host pushing back | Why |
|---|---|---|---|---|---|---|
| Why Study Investors and Thinking About Thinking | 3 | 4 | 1 | 1 | Sonal asks Tren why he focuses heavily on studying investors and connecting investing mindsets to business. Tren explains the emotional and psychological biases involved in decision-making, referencing behavioral thinkers like Kahneman and Thaler. | |
| Behavioral Economics, Complexity, and Avoiding Stupidity | 4 | 5 | 2 | 3 | Sonal brings up critiques that behavioral economics lost relevance, while Michael questions if investing outcomes make psychological learning easier than business. Tren reframes behavioral economics as a tool for humility and margin of safety rather than prediction. | |
| Inversion in Life and Building Complementary Teams | 5 | 3 | 1 | 2 | Sonal shows sharp domain knowledge by naming Carl Jacobi as the origin of Munger's 'invert, invert' rule and referencing internal team dynamics at a16z. Michael pushes on how non-analytical people can cultivate rationality, prompting Tren to emphasize complementary teams. | |
| Mental Models and Investing as the Last Liberal Art | 2 | 4 | 1 | 0 | Sonal asks Tren to define mental models and explain their practical application. Tren articulates how drawing from varied disciplines like physics, biology, and literature creates comprehensive decision frameworks. | |
| Education, Pattern Recognition, and Franklin's Influence | 4 | 5 | 2 | 3 | Michael asks whether traditional education forces students into overly narrow paths, while Sonal raises a contradiction between Munger's emphasis on humility and the hubris needed to take entrepreneurial risks. Tren resolves the tension using a poker and optionality metaphor. | |
| Spotting Moats vs. Building Moats Out of Nothing | 5 | 5 | 2 | 3 | Sonal cites Taleb's skin in the game concept to question if Munger is primarily an analyst rather than a builder. Tren clarifies the fundamental difference between identifying existing moats and creating emergent moats from scratch. | |
| Analyzing Moats: Network Effects, Regulations, and Brands | 6 | 4 | 1 | 2 | Sonal prompts a discussion on building moats, specifically challenging Tren on whether a hierarchy exists between patent/IP protection and network effects. Tren provides detailed historical context spanning AT&T regulatory monopolies, Bloomberg, and brand moats. | |
| Channeling Inner Munger: Passive Indexing vs. Active Decisions | 3 | 6 | 4 | 1 | Michael asks how readers should practically apply Munger's principles. Tren responds with a blunt filter, asserting that anyone who finds analyzing moats boring or cannot finish his book should stick strictly to passive index funds. | |
| Understanding True Risk, Inversion, and Final Takeaways | 4 | 4 | 1 | 3 | When Tren attempts a general closing summary, Sonal directly interrupts to demand a deeper focus on risk. Tren clarifies that real risk is permanent loss of capital through ignorance, rather than short-term market volatility. |
Statements from this episode (18)
Griffin: Business and investing mistakes are mostly psychological, not analytical
“Well, I think, I guess the key thing in both business and investing is that most mistakes that people make are psychological and emotional.”
Griffin: Decision journals and behavioral economics reduce cognitive mistakes
“If you think about thinking and do things like Reed Kahneman and Thaler and really analyze your process and keep a journal and write things down. You can get better at thinking. You'll always make mistakes, but you can learn to make fewer mistakes.”
Griffin: Complexity theory teaches humility and margin of safety, not prediction
“Both of those things teach you not that you can create a predictive theory, but that you should be humble and that you should build in a margin of safety.”
Griffin: The best way to be smart is to avoid being stupid
“And a key message of the book is, probably the key message, Is the best way to be smart is to not be stupid.”
Griffin: Hubris and compounded biases create a Lollapalooza effect of failure
“When you look at people who fall it's usually hubris, and the problem with hubris is it can have many sources, and the error can be Essentially a lullapalooza or a situation where the whole is is greater than the sum of all the biases.”
Griffin: Munger's two-track analysis combines rational evaluation with bias checks
“He calls it a two-track analysis, which is first be rational, and then look for decisional errors.”
Griffin: Investors who only understand business will not be successful
“An investor who only understands business isn't going to be a very good investor.”
Griffin: Overreliance on quantitative models blinds students to hidden tail risks
“You can get people who are so caught up in formulas and teaching formulas like value at risk or things like that, the students sort of lose track of the forest. And they also become sort of unduly reliant on models, which may have tail risks, which are unappar…”
Griffin: Munger advises patient study followed by aggressive bets on rare opportunities
“People need to be patient and read and understand, but then when they see the big opportunity, you know, like social networking or You know, something in computational biology or, you know, name the field. When you see it, you'll know it, and when you see it, …”
Griffin: Spotting competitive moats is fundamentally different from building them
“One of the great contrasts in life is between people who know a moat when they see it and people who know how to build one potentially out of nothing.”
Griffin: Every business's future is worse than its present due to competition
“All moats are constantly under attack. You can't see it, but they're constantly under attack. And what Munger says is, Is the future of every business is worse than the present.”
Griffin: The average VC fund relies on two or three monster wins
“The average venture business, the average fund has two or three monsters that, that determine the success of the fund.”
Griffin: Network effects scale better than other moats but are highly fragile
“Network effects are extremely powerful. And they scale better than anybody's ever been able to scale things before, but they're extremely fragile as well.”
Griffin: If competitive moats bore you, you won't be a good investor
“If the chapter on moats bores you, you're not going to be a good investor. If the chapter on moats bores you know, you, you're not going to be able to understand a good business from a bad business.”