The 100 Year Thinkers: Long-Term Compounding in a Short-Term World – Details, episodes & analysis

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The 100 Year Thinkers: Long-Term Compounding in a Short-Term World

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Frequency: 1 episode/33d. Total Eps: 8

In a world where most investors think in quarters, The 100 Year Thinkers offers insights from investors who think in decades. Hosted by Matt Ziegler and Bogumil Baranowski and featuring Robert Hagstrom, and Chris Mayer, this monthly roundtable will tackle many of the issues all of us face as investors, but look at them through the lens of investors who operate over very long time frames. We will cover a wide range of topics ranging from stock selection to portfolio construction to the economy and behavioral finance, but we will do it by focusing on what matters over the long-term.

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Apple Podcasts

🇫🇷 France - investing
12/06/2026
#99
🇬🇧 Great Britain - investing
27/03/2026
#87
🇬🇧 Great Britain - investing
17/10/2025
#87
🇬🇧 Great Britain - investing
16/10/2025
#64
🇬🇧 Great Britain - investing
15/10/2025
#93

Spotify

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https://microcapclub.com/the-last-moat/
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https://microcapclub.com/stock-picker/
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The Problem With Modern Portfolio Theory | Robert Hagstrom on How Comfort Trumped Returns

Friday, May 29, 2026 • Duration 01:06:06

In this episode of The 100-Year Thinkers, Robert Hagstrom explains why modern portfolio theory pulled investors away from business analysis and toward portfolio math. In this episode, Hagstrom, Matt Zeigler and Bogumil Baranowski discuss Markowitz, beta, efficient markets, Warren Buffett, Charlie Munger, business-driven investing, owner earnings, benchmarks, and why thinking like a business owner changes how investors understand risk.

The Warren Buffett Portfolio, 25th Anniversary Editionhttps://amzn.to/4uz8sZ3

Topics covered:

Why Hagstrom thinks modern portfolio theory changed investing’s objective
The difference between volatility, variance and real investment risk
How Benjamin Graham and John Burr Williams framed risk around intrinsic value
Why beta became the dominant shorthand for risk
How the 1973-74 bear market helped institutionalize modern portfolio theory
Why Berkshire preserved the business owner’s lens
The “cathedral and casino” distinction between owning businesses and trading stocks
Owner earnings, return on invested capital and cost of capital
Why business owners often make better long-term equity investors
Look-through earnings and building a “mini Berkshire”
The difference between making money and beating a benchmark
How benchmarks can distort investor behavior
Why knowing yourself and your clients matters in portfolio construction

Timestamps:

00:00 Robert Hagstrom on why risk is not volatility

00:40 Business-driven investing vs portfolio math

02:42 How modern portfolio theory defined risk as variance

06:38 Graham’s margin of safety vs Markowitz’s definition of risk

09:44 Sharpe, beta and simplifying portfolio risk

12:51 Why the 1973-74 bear market helped MPT take over

16:20 Why MPT became institutionalized without proving it could beat the market

18:53 Buffett, Keynes and concentrated investors violating MPT

22:53 Stocks as businesses and Buffett’s cathedral vs casino

30:01 Business analysis, owner earnings and return above cost of capital

36:41 Look-through earnings and running a mini Berkshire

41:34 Making money vs outperforming a benchmark

47:30 Why Berkshire’s public and private businesses shaped Buffett

50:05 How investors can start applying the Buffett way
54:05 Bogumil on how investing theory becomes accepted truth
58:09 Why direct ownership creates responsibility and conviction
01:00:15 Investor know thyself and the limits of outsourcing caring
01:03:35 Finding the right clients for a business-owner investing approach

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The Last Moat | Chris Mayer and Ian Cassel on the Stock Picking Edge AI Can’t Replicate

Season 1 · Episode 7

Monday, May 4, 2026 • Duration 01:16:27

This episode of 100 Year Thinkers brings together Chris Mayer and Ian Cassel for a deep discussion on long-term stock picking, microcap investing, business quality, AI disruption, management teams, and the behavioral skills that separate great investors from great analysts.

They explore why the edge in investing may increasingly come from judgment, presence, relationships, patience, and the ability to hold the right businesses through uncertainty.

Resources Discussed

The Last Moat
https://microcapclub.com/the-last-moat/

Stock Picker by Ian Cassel
https://microcapclub.com/stock-picker/

The Investor’s Odyssey by Chris Mayer
https://www.amazon.com/Investors-Odyssey-Resisting-Sirens-Playing/dp/B0GJ3G6F2S

Follow Chris Mayer on Twitter
https://x.com/chriswmayer

Follow Ian Cassel on Twitter
https://x.com/iancassel

Topics Covered

Why being present with management teams may still be an investor edge in the age of AI
How microcap investing differs from small-cap, mid-cap and large-cap investing
Why talking to management can build conviction but also create bias
How Chris Mayer thinks about vertical market software, mission-critical systems and AI disruption
Why AI may become table stakes rather than a durable competitive advantage
How small companies can use AI to improve workflows, sales, inventory and productivity

46 Stocks Created Half of All Market Wealth | Chris Mayer and Robert Hagstrom on the Outliers that Break Base Rates

Monday, March 23, 2026 • Duration 01:11:45

In this episode of the 100 Year Thinkers, Robert Hagstrom and Chris Mayer explore how investors should think about base rates, extreme outcomes, and the realities of long-term wealth creation in markets. Applying the work of Michael Mauboussin, the conversation challenges conventional ideas like mean reversion and highlights why a small number of companies drive most stock market returns—and what that means for portfolio construction.tives distort investing decisions

Topics covered
• Why markets are driven by extreme outcomes and power laws, not averages
• The Best & Bessembinder research showing a handful of stocks create most wealth
• Base rates vs outliers and when to trust historical probabilities
• Why the 100 bagger framework focuses on studying winners, not predicting them
• Portfolio construction as a way to capture asymmetric upside
• Buffett’s approach to consistency, durability, and long-term operating history
• Inside view vs outside view and how narratives distort investing decisions
• Why AI may be breaking traditional base rate assumptions in software and tech
• The limits of mean reversion and why it can lead investors astray
• Return on invested capital and how competition erodes excess returns over time
• Identifying durable moats and why most advantages eventually get attacked
• Winner-take-all dynamics and how they shape long-term investing outcomes
• The twin engines of returns: earnings growth and multiple expansion
• Return on incremental capital as a key driver of long-term compounding
• Intangible assets and why accounting understates true business value
• Amazon as a case study in misunderstood profitability and reinvestment
• AI CapEx cycle and why current spending may not be sustainable long term
• Why great businesses matter more than great management in long-term investing

Timestamps
00:00 Why extreme outcomes drive stock market returns
01:00 Base rates vs studying 100 baggers
03:00 Power laws and why markets are a game of outliers
05:00 Just 46 companies created half of all market wealth07:00 Buffett on consistency and long-term operating history10:00 How to think about base rates in AI, energy, and macro cycles12:00 Does AI invalidate historical base rates?15:00 Inside view vs outside view in investment decision making19:00 Buffett’s “certainty at a discount” framework23:00 How often investors should evaluate businesses vs prices29:00 Mean reversion myths and where it breaks down33:00 Return on invested capital and competitive pressure36:00 Moats, winner-take-all markets, and long-term dominance41:00 Twin engines of compounding: growth plus multiple expansion43:00 Return on incremental capital and forecasting future returns47:00 Intangibles and why accounting distorts real business value50:00 Amazon, CapEx cycles, and hidden profitability53:00 AI infrastructure buildout and the future of returns

This Hasn’t Happened Since 1999 | The 100 Year Thinkers on Why Safe Stocks Have Become Dangerous

Season 1 · Episode 5

Saturday, February 21, 2026 • Duration 01:15:39

In this episode of the 100 Year Thinkers, Matt Zeigler and Bogumil Baranowski continue their conversation with Robert Hagstrom and Chris Mayer, diving deeper into general semantics and what it means for investors navigating AI enthusiasm, market volatility, benchmark obsession, and the gamification of markets. From Warren Buffett’s cathedral versus casino metaphor to the risks hiding in so-called “safe” consumer staples stocks, this discussion explores how language, expectations, and mistaken certainty shape investment decisions. If you want to think more clearly about markets, technology, valuation, and your own reactions as an investor, this episode offers a powerful mental framework.

Topics Covered

What general semantics is and how language influences how investors think
IFD disease idealism frustration demoralization and how unrealistic expectations impact markets
AI hype, capital spending, and the prisoner’s dilemma facing major tech companies
Warren Buffett’s cathedral versus casino metaphor and what it means for investors today
Why beating the S and P 500 may not be the right benchmark for success
The gamification of markets, retail trading growth, and the shift from long-term investing to speculation
Terminal value risk in software stocks amid AI disruption
Why low volatility “warm fuzzy” stocks like consumer staples may be more dangerous than they appear
Expectations investing, confidence versus overconfidence, and avoiding mistaken certainty
The map is not the territory and how to avoid confusing models with reality
Everything is connected to everything else markets as biological systems rather than mechanical systems
Delayed gratification, compounding, and why wealth is built later in the investment journey

Timestamps

00:00 Cathedral versus casino capitalism and the market metaphor
02:00 What is general semantics and why it matters for investors
03:00 IFD disease unrealistic expectations and AI hype06:40 Outperformance, Bill Miller, and unrealistic return expectations09:00 Are market benchmarks the right way to measure success12:00 What if stock market indexes did not exist14:00 Public versus private markets and myopic loss aversion18:40 Compounding, volatility, and delayed gratification21:00 AI valuations, strategic capital spending, and economic returns24:20 The AI adoption cycle frustration and demoralization30:40 The man in overalls story and delaying reactions33:30 Warren Buffett cathedral versus casino metaphor revisited35:00 Gamification of markets passive flows and species shift in investing39:00 When to sit still versus when to act in volatile markets43:00 Mistaken certainty and the biggest risks in today’s market45:00 The hidden risk in consumer staples and low volatility stocks47:20 Expectations investing confidence versus overconfidence49:40 Everything is connected markets as living systems53:00 What success really means beyond beating an index56:20 The map is not the territory final lessons for investors

The Labels That Destroy Returns | Chris Mayer and Robert Hagstrom on How Language Misleads Markets

Season 1 · Episode 4

Friday, January 23, 2026 • Duration 01:14:17

When Robert Hagstrom and Chris Mayer sit down together, the conversation goes far beyond stock picking. Join them, along with Matt Zeigler and Bogumil Baranowski to explore how investors think, how language shapes decision making, and why many of the debates dominating today’s markets miss the deeper pointDrawing on ideas from general semantics, mental models, and long-term capital compounding, the discussion reframes market concentration, AI, valuation, and risk through a more durable lens built for long-horizon investors.

Topics covered in this episode

Why high valuation multiples are not automatically a sign of overvaluation
What return on invested capital really tells you about long-term compounding
The difference between describing a business and understanding the business itself
Market concentration, index construction, and why benchmarks can mislead investors
The idea of time binding and what investors can learn from history without overfitting it
Map versus territory and how financial statements can obscure underlying business reality
AI investing, capital allocation, and separating durable businesses from speculative narratives
Why many valuation debates are really disagreements about time horizon
How language, labels, and mental shortcuts create overconfidence in investing
What it takes for a company to compound capital over decades, not years

Timestamps
00:00 Introduction and why valuation multiples alone are misleading
02:30 Time binding and how accumulated knowledge shapes investing
04:45 Market concentration and what history can and cannot tell us
06:30 Index construction, market cap weighting, and benchmark distortions
09:55 Map versus territory and the limits of financial statements
12:30 History, narratives, and how descriptions shape beliefs
17:00 AI narratives, capital spending, and separating signal from noise
20:40 Technology cycles, bubbles, and what past revolutions can teach investors24:20 Why language matters in investing and the danger of saying something is29:50 Dating and indexing companies to avoid static thinking34:00 Global markets, changing data sets, and why comparisons break down38:30 Returns on capital, scale, and why today’s winners dominate indexes42:00 The pace of change in technology and market structure47:40 True, false, and indeterminate answers in valuation debates52:00 Capital allocation, balance sheet risk, and surviving volatility56:30 What really matters in 100x investments58:30 Final thoughts and recommended reading

The Wall Street Labels That Trap You: Chris Mayer & Robert Hagstrom on How Language Misleads Markets

Season 1 · Episode 3

Monday, December 15, 2025 • Duration 01:12:57

In this episode, Robert Hagstrom , Chris Mayer , Bogumil Baranowski and Matt Zeigler return for a wide-ranging conversation on how great investors really think. Rather than focusing on formulas, factor labels, or short-term market predictions, the discussion explores investing as a discipline grounded in philosophy, language, psychology, and long-term business fundamentals. Drawing on ideas from Warren Buffett, Charlie Munger, Bill Miller, and thinkers from outside finance, this conversation challenges many of Wall Street’s most common assumptions and offers a deeper framework for making better long-term investment decisions.

Topics covered in this episode

Why value investing has nothing to do with price to earnings or price to book ratios
The false divide between value and growth investing and why growth is a component of value
How abstractions and labels distort decision making in markets
General semantics and how language shapes investing mistakes
Charlie Munger’s concept of worldly wisdom and the latticework of mental models
Why reversion to the mean is a flawed way to think about markets
The stock market as a complex adaptive system rather than a predictable machine
Why most market forecasts fail and why people still believe them
Myopic loss aversion and how frequent evaluation destroys long-term returns
The importance of time horizon, patience, and long-term compounding
How great investors think about conviction, uncertainty, and being wrong
When to hold through difficulty versus when to exit an investment
Lessons from Buffett, Munger, and Bill Miller on thinking independently

Timestamps
00:00 Value investing beyond ratios and labels
01:00 Introducing Robert Hagstrom and Chris Mayer
02:30 Investing as a subdivision of worldly wisdom
04:10 Abstractions, language, and Wall Street thinking
07:30 General semantics and investing mistakes
09:00 Latticework of mental models and interdisciplinary thinking12:30 Buffett’s rejection of Wall Street jargon18:55 Value versus growth and why the labels fail23:40 Language, meaning, and investment errors27:00 Time horizon, myopic loss aversion, and frequent evaluation31:00 Sideways markets and where returns really come from36:50 Complex adaptive systems and why prediction fails40:00 Spurious correlations and false cause and effect45:00 Forecasting, randomness, and the illusion of certainty48:00 Conviction, expectations, and uncertainty in investing50:00 When to sell and the cost of being wrong54:30 Building an interdisciplinary investing framework

The Elusive Search for the Perfect Business | Chris Mayer and Robert Hagstrom

Season 1 · Episode 2

Thursday, November 13, 2025 • Duration 01:02:21

This episode of The 100 Year Thinkers brings together Robert Hagstrom, Chris Mayer, and Bogumil Baranowski for a deep conversation on what makes a great business, why long-term investing is so hard, and how the world’s best investors think about mistakes, management, conviction, and the durability of competitive advantages. We explore perfect businesses, the pain of missed opportunities, the behavioral traps that derail long-term compounding, and how to navigate rapid technological change while keeping your investment process grounded.

Topics covered:
• What defines a perfect business and why so few qualify
• The role of capital efficiency, returns on capital, and cash generation
• Why omissions are often investors’ most painful mistakes
• How to build conviction to hold great companies through drawdowns
• The behavioral edge of true long-term investing
• Management quality, insider ownership, incentives, and red flags
• Why owner earnings and free cash flow matter more than GAAP earnings
• The challenge of evaluating fast-changing industries and staying within your circle of competence
• How AI, networks, and scale economics reshape competitive moats
• Portfolio management lessons, starter positions, and letting winners run

Timestamps:
00:00 Perfect businesses and long-term economics
01:49 Defining the perfect stock
03:27 Holding long term through volatility
07:30 Behavioral inefficiencies and market structure
09:15 Humanizing mistakes and decision making
14:28 Errors of omission and painful missed opportunities
19:00 What to look for in management
24:27 Signals from financial disclosures and actions
26:00 Key quantitative metrics for long-term compounders
34:04 Owner earnings vs GAAP earnings
37:00 Intangible investment and modern cash flow analysis
38:50 Circle of competence and fast-changing industries
42:00 Large language models, networks, and moats
43:52 AI use cases and productivity
45:00 Closing thoughts and where to find the guests46:25 Episode recap and takeaways

The 100 Year Thinkers | Chris Mayer and Robert Hagstrom on Finding the Next Great Compounders

Season 1 · Episode 1

Monday, October 13, 2025 • Duration 58:40

In a world that moves tick by tick and quarter by quarter, The 100-Year Thinkers zooms out to explore what it really means to invest with patience, discipline, and perspective.

In this premiere episode, join Matt Zeigler, Bogumil Baranowski, Chris Mayer, and Robert Hagstrom as they discuss market concentration, the dominance of mega-cap stocks, and how investors can think in decades—not days.

Together, they explore the evolution of active management, the role of the S&P 500, the challenge of private equity, and how to build portfolios that last.

• Concentration and the rise of mega-cap dominance
• Equal-weight vs. market-cap-weighted indexes
• The role of the S&P 500 and how it shapes investor behavior
• Why the Magnificent Seven may not repeat past winners’ mistakes
• The differences between today’s tech leaders and the 1999 bubble
• The changing nature of private equity and illiquidity premiums
• How to define success as an investor beyond beating the index
• The importance of focusing on business economics over stock prices
• Lessons from Buffett, Bill Miller, and other long-term thinkers

00:00 Concentration and portfolio construction
04:00 Market-cap dominance and equal vs. cap weighting
10:30 Active management, benchmarks, and the S&P 500
17:00 Economic realities of the top 10 stocks
23:00 Government policy and market intervention
26:00 Comparing 2024 to 1999 and lessons from past cycles
32:00 Innovation, Russell 2000, and private company growth
40:00 Active management and how the S&P wins
41:45 The private equity boom and its challenges
49:00 Redefining performance and investor goals
55:00 The importance of focusing on business economics
57:00 Closing thoughts and where to find the guests

Topics CoveredTimestamps

The 100 Year Thinkers: Long-Term Compounding in a Short-Term World – Details, episodes & analysis

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The 100 Year Thinkers: Long-Term Compounding in a Short-Term World – Details, episodes & analysis

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