Category: Uncategorized

  • The Three V’s of Integrity

    The Three V’s of Integrity: Virtue, Value, and Vigilance

    When systemic dishonesty becomes the default, simply “wanting to do good” is rarely enough to survive it. Standing up to deceit—whether in corporate halls, institutional settings, or daily life—requires a resilient, active framework. It demands the alignment of three distinct pillars: virtue, value, and vigilance.

    1. Virtue: The Internal Compass

    Common sense treats virtue as basic decency, but classical philosophy goes deeper. To Aristotle, virtue (arete) meant “excellence of character.” It isn’t a single righteous choice made under pressure; it is a habituated state of being—a moral foundation cultivated through a lifetime of smaller, daily decisions. When institutional pressure demands compromise, virtue is the internal anchor that keeps you grounded.

    2. Value: Beyond the Balance Sheet

    Language hides a dangerous trap: we use the single word “value” for two opposing concepts, corresponding directly to how our brain hemispheres perceive the world.

    • Left-hemisphere value (transactional utility): Reduces value to quantitative metrics—price, cost, net worth, market cap, and financial ROI. The left brain perceives the world as a collection of commodified parts to be measured, swapped, and negotiated. Through this lens, everything carries a price tag.
    • Right-hemisphere value (intrinsic principle): Where the left hemisphere reduces the word “value” to a price tag, true value demonstrates a completely different reality rooted in Truth, Goodness, and Beauty. As Iain McGilchrist points out, these principles represent qualitative and non-negotiable foundations—not numbers painted onto reality—that resist every attempt to calculate them on a spreadsheet or negotiate them away.

    Things can get messy quickly when an organization trades intrinsic, right-hemisphere value for transactional, left-hemisphere utility. The moment an institution begins viewing truth as a negotiable commodity rather than the ground of reality, integrity dissolves into accounting. To recognize and confront deception, you must hold fast to the principle that truth isn’t a commodity to be priced; it represents the reality you choose to defend.

    3. Vigilance: Spotting the Phase Transition

    True vigilance requires seeing past constructed narratives, but staying vigilant is extraordinarily rare today. Two very different maps describe the same failure: one from McGilchrist’s sweeping philosophical synthesis of neuroscience, phenomenology, and culture, and one from an outside, analogical art of consciousness.

    The first is McGilchrist’s framework. Far from being a dry theory of brain mechanics, his work traces how human attention ought to move: starting with a whole, contextual awareness (right hemisphere), passing through linear analysis and abstraction (left hemisphere), and ultimately returning to a re-integrated, lived context (right hemisphere). His central warning in The Master and His Emissary is that modern culture has become stuck halfway—severely left-hemisphere dominant, a state where “the emissary has usurped the master.”

    The left brain relies on linear logic, abstract models, and self-referential systems. It readily accepts false premises as long as the internal paperwork is neat, calmly concluding, “that’s what it says on the card.” True vigilance requires completing the cycle back to the right hemisphere—acting as what McGilchrist calls the “bullshit detector”—to step outside the closed, self-referential system and re-anchor perception in living reality.

    The second map is David R. Hawkins’s Power vs. Force: an artistic, analogical account of attention that happens to rhyme with McGilchrist’s worldview. Hawkins argues that the human organism can register truth, but most people lose that perceptual clarity because their internal channels are muffled by daily distractions, ambition, and superficial noise. They mistake the contrived friction of Force—corporate messaging, legal posturing, manufactured urgency—for the quiet authority of true Power. Read that way, Hawkins provides an outside view of the same problem: a closed, self-justifying system drowning the signal that would have shown the system was false.

    Because of these blind spots, vigilant observers pay close attention to phase transitions—the subtle tipping points where an organization quietly shifts from solid integrity to structural decay.



    The Out-of-Wheelhouse Shift

    Investor Anthony Deden held a stake in a successful food business. During a meeting, management drifted into ambitions that had nothing to do with the actual operation—access to the banking system, hedging, financial engineering. Deden logged the warning. When the company later announced it had bought a stake in a bank, he sold the entire position within minutes. Not long after, the firm treated itself like a bank, blew a hole in speculative currency trades, and was driven to the brink, losing its independence in a forced merger. By tracking that first signal and acting when the bad decision materialized, he caught the phase transition—the shift from operational discipline to managerial hubris—well before the ruin was obvious.

    The Silent Cultural Drift

    Investor Duan Yongping treats corporate culture as a company’s non-negotiable “North Star.” When he noticed a business quietly alter its website to remove a core ethical value, he sold his entire stake. A firm can coast for a while on short-term momentum. A broken cultural anchor does not guarantee collapse tomorrow, but it does tell you the long-term odds have changed.

    Authentic vigilance requires clearing those perceptual channels—trusting the right-hemispheric radar when an organizational story feels forced, even if the spreadsheets look flawless on paper. Severed from virtue and value, vigilance devolves into paranoia or cynical manipulation. But when anchored by moral character and intrinsic truth, a clear radar catches the phase transition early, providing the warning needed to step away before the structure gives way.



    The Ecosystem of Moral Courage

    These three principles form an interlocking defense system:

    • Virtue gives you the strength to stand.
    • Value gives you the direction to aim.
    • Vigilance gives you the vision to see.

    If any one pillar collapses, the entire system fails. But when aligned, the Three V’s turn passive awareness into active moral courage, providing the clarity needed to confront deceit and the fortitude to endure the fallout.

  • Balancing Either/Or with Both/And

    Balancing Either/Or with Both/And:
    A New Framework for Corporate DNA

    There is a profound intersection between investment theory and neuroscience, one that becomes visible when we bridge Mohnish Pabrai’s concepts in Mosaic with Iain McGilchrist’s insights in The Master and His Emissary. The goal is to move beyond rigid, mechanical views of how businesses operate and adopt a more organic understanding of corporate survival. By examining how Pabrai diagnoses a company’s intrinsic makeup and viewing it through McGilchrist’s philosophy of hemisphere dynamics, I think we can uncover a more accurate framework for analyzing enduring businesses.

    In Mosaic, Pabrai introduces a highly effective framework for decoding a company’s DNA, suggesting that a business’s core genetic structure is largely established during its first ninety days of life. When analyzing Microsoft, Pabrai applies this framework to categorize the tech giant as an aggressive cloner rather than a traditional innovator. He observes that Microsoft’s strength does not lie in flawless initial execution, noting that it took MSN eight iterations to finally become better than AOL, and that its standalone innovation attempts frequently struggled. To Pabrai, the fact that Microsoft succeeded despite these early execution hurdles and repeated iterations is proof that the company possesses terrific genes that out-muscle the competition.

    To gather the pieces of this analytical puzzle, we actually need the precision of the brain’s left hemisphere. The left hemisphere excels at an either/or mode of thinking, which is a valuable servant because it allows us to cleanly isolate and define distinct categories. We need this either/or processing to separate Pabrai’s concept of fixed corporate genes as one distinct part of the puzzle, and the biological reality of learning and adaptability as another distinct part. If we do not use this initial division to collect the pieces, we cannot see the components clearly. However, if an investor remains stuck entirely in a left-hemisphere view, they are forced into an artificial choice, assuming a business must succeed based either entirely on its initial structural blueprint or entirely on its real-time agility.



    This is where we must transition to the right hemisphere’s both/and perspective to reassemble the whole picture. McGilchrist notes that while we need either/or thinking to differentiate and define individual parts, we simultaneously need both/and thinking to reunite those parts into a functioning whole. When we combine these pieces, the eight versions of MSN take on a much richer meaning. They reveal themselves as the ultimate evidence of adaptation at work within the imitation process. If Microsoft relied solely on its initial genetic structure in a strict either/or fashion, a string of failed versions would represent a genetic dead end. Instead, those eight versions reveal a profound capacity to interact with market feedback, absorb failures, and actively evolve the product. Microsoft possessed the formidable genetic structure to stay in the game, but it was their relentless, iterative learning loop that allowed them to eventually win.

    Connecting the dots between these two books ultimately allowed me to build a more cohesive personal framework for analyzing businesses. By applying McGilchrist’s integrated philosophy to Pabrai’s structural DNA concept, I was able to synthesize a new way of looking at compounders. This new cohesive understanding feels like my own creation, yet in a beautifully ironic twist, this very act of synthesis reflects the right hemisphere style of imitation that the framework honors. It is about taking two exceptional, established ideas, absorbing them deeply, and adapting them to create a unique, unified understanding that better informs my own journey as an investor.

  • You Can’t Clone a Soul

    You Can’t Clone a Soul

    In the value investing community, “cloning” is often framed as the ultimate technical shortcut. The logic is enticing: identify an investor with a superior track record, scan their 13F filings, and replicate from the portfolio what you wish. It is an exercise in curated efficiency—an attempt to extract the “best” ideas while bypassing the grueling labor of primary research.

    However, this mechanical approach often falters at the first sign of structural stress. When a specific conviction—perhaps a position in Alpha Metallurgical Resources (AMR)—drops 20% on a macro headline, the cloner finds themselves holding a ticker symbol without the underlying architecture of belief. As Iain McGilchrist explores in The Master and His Emissary, this is the fundamental failure of the Left Hemisphere’s “machine” thinking. It treats an investment as a discrete, transferable data point—a copy—rather than an expression of a deeper, holistic understanding.



    To McGilchrist, there is a profound difference between copying and imitation. Copying is the domain of the Left Hemisphere; it is atomistic, rote, and concerned with “re-presentation.” It views the world as a collection of static things that can be moved from one spreadsheet to another. When you copy a trade, you are attempting to download a result while discarding the process. You may have the entry price and the ticker, but you are entirely blind to the “how.”

    The danger in replicating only what you wish from a portfolio is the illusion that an investment is a standalone object. In reality, a position is merely the tip of an iceberg, supported by a massive underwater structure of the investor’s past experience, scar tissue and the way they attend to the world, etc. The Left Hemisphere sees the tip and mistakes it for the whole; it ignores the “why” simply because the “why” cannot be easily quantified or categorized.

    True imitation, by contrast, is a Right Hemisphere phenomenon. McGilchrist describes it as “empathic identification.” It isn’t about duplicating an action, but about “inhabiting” the mind and spirit of the person you are observing. In investing, this means putting in the work to understand the spirit of their conviction.

    This conviction is the soul of the investment. Just as a body without a soul is a shell, a portfolio position without its underlying meaning is hollow. You aren’t just buying a stock because another investor bought it; you are working to see the metallurgical coal cycle through their eyes. You are attempting to feel the weight of their past cycles and understanding how their specific goals etc, – shape their real-time decisions. You are attempting to inhabit the animating spirit that gives the numbers their meaning.



    Conviction cannot be cloned because a soul cannot be downloaded. It is an emergent property of a lived relationship with the facts—the ability to sense when a thesis is breathing versus when it has begun to decay. The Left Hemisphere’s attempt to “clone” is like a builder who replicates the lines and paint of a seaworthy boat without understanding the internal joinery or the strength of the keel. It looks identical in the calm waters of the harbor, but it lacks the structural integrity to endure the open sea. When the gale hits, the copy is exposed for what it is: a shell without the substance required to survive the test.

    If we want to truly follow a great investor, we must move beyond the mechanical copying of the “Emissary” and return to the imitation of the “Master” (in the hemispheric sense). This requires a shift in focus from the ticker symbol to the spirit of the investment. It means realizing that a 13F filing is not a shopping list, but an invitation to inhabit a different perspective.

    Ultimately, the goal of imitation is to reach a point where the idea is no longer external to you. By imitating the “why” and the “how,” the investment becomes an extension of your own embodied knowledge. You don’t just own the stock because someone else does; you own the conviction that makes owning the stock possible. This is the difference between being a machine that follows rules and an investor who understands the nature of the game.


  • They Saw a Bet

    They Saw a Bet

    In 1950, director Akira Kurosawa released Rashomon, a film in which a single crime is recounted by four different witnesses. Each person walks away with a drastically different, mutually contradictory version of what happened. This gave birth to the Rashomon Effect—a psychological phenomenon where our pre-existing beliefs, egos, and motivations act as a filter, distorting raw data before it ever reaches our conscious mind.

    Psychologists often illustrate this with a classic 1954 study on biased perception known as “They Saw a Game.” Researchers showed students from Princeton and Dartmouth a film of a particularly rough, penalty-heavy football game between their two schools. When asked to evaluate the footage, the Princeton students saw the Dartmouth players as aggressive rule-breakers who instigated the violence. Meanwhile, the Dartmouth students saw a hard-fought, fair game where both sides were equally scrappy.

    They watched the exact same film but saw two completely different games. Their institutional allegiances dictated what their eyes were allowed to see.

    Neither group was lying. They were simply victims of what Charlie Munger called the Inconsistency-Avoidance Tendency. As Munger famously observed, the human mind operates a lot like a human egg: once a deeply held belief gets in, a psychological shut-off mechanism activates, blocking out any raw data or facts that contradict it.

    In life, this is a psychological blind spot. In financial markets, it is what makes a trade.

    Every day, millions of shares change hands. For every transaction, there is a buyer and a seller looking at the exact same company, reading the same annual reports, earnings call transcripts, etc. Yet, we can see two completely different realities.

    They watch a ticker; I study a business. And even when we both look at the exact same enterprise, they might see a company crippled by problems, while I may see a mispriced opportunity.



    When fear grips the market and a stock violently sells off, they look at the cascading red numbers and see volatility, risk, and a falling knife. Their loss aversion kicks in, and they sell, desperate for the comfort of cash. I look at the exact same asset, and I might see opportunity. They sell a stock, making it very cheap; I see a business that is now fundamentally mispriced. As I’ve noted before, there is always a bear market somewhere, and that chaos amplifies the extreme human emotions that create these mispricings.

    The Rashomon Effect works in reverse, too. When the market is roaring and a popular stock is hitting all-time highs, they look at the momentum and see consensus. They feel validated because the crowd agrees with them. While they fixate on price action, I look at the fundamentals and see dangerous groupthink and a complete lack of a surplus of safety.

    Consensus is the architect of short-term asset prices, but it also embeds the world’s collective errors into those prices. The crowd operates through a selective filter, instinctively discarding any data that contradicts the prevailing narrative—ignoring red flags in a bull market and dismissing durable earnings power in a bear market.

    To be an outlier investor, you must understand that the market is not a perfectly rational weighing machine in the short term; it is a psychological battleground.



    Ultimately, the stock market is the grandest Rashomon experiment of all, perfectly illustrating the core tenets of General Semantics. As the discipline teaches, everyone possesses a unique nervous system and a unique point of view, heavily shaped by their own past experiences and ingrained biases. We do not experience reality directly; we only experience our nervous system’s abstraction of it.

    Because of this inescapable filter, humility is required. Even when I buy or sell, I could be wrong. And when the crowd buys or sells, they could be wrong. Understanding bias—and recognizing that every transaction is just two conflicting abstractions colliding—is how we survive.

    Learning to keep your thinking sharp, clear, and free from built-in human misjudgment is a necessary, lifelong skill. It is the only way to ensure that when you look at the market, you are seeing the business, and not just the crowd’s reflection—or worse, the distorted projection of your own unchecked biases. If we fail to actively audit our own filters, we have no one to blame but ourselves for the errors that inevitably follow.


  • Most Moats Aren’t Worth a Damn

    Most Moats Aren’t Worth a Damn

    I have spent years studying the value investing philosophy of Warren Buffett and other legends. Through that study, I have learned what style best fits me.

    Some investors focus on “the new new thing”—chasing AI, robots, crypto, or the streaming wars. Others look for the latest consumer fad or the next hot cycle in luxury goods. I don’t particularly enjoy that style of investing. I prefer to focus on Structural Necessity.

    In the financial world, this asset class is often called “Core Infrastructure” or “Regulated Utilities.” These are the backbone assets of the economy—toll roads, pipelines, grids, and hubs—that operate as near-monopolies.

    While everyone quotes Buffett’s famous line about “moats,” they often miss the warning he gave at the 1995 Berkshire Hathaway Annual Meeting: “Most moats aren’t worth a damn.”

    Why? Because you think you have a moat, but then it erodes. A better product, a smarter CEO, or a cool brand can all be swept away by time and innovation.

    My strategy is different. I am not looking for companies that are “smart.” I am looking for assets that are prohibitively difficult to replicate.

    I focus on things that hardly change—or change so slowly that the timeline is measured in decades, not quarters. I want assets where the barrier to entry isn’t just money, but physics, geography, and regulation. Critical barriers to entry are what matter, not just growth.

    This isn’t a final blueprint—my framework is always evolving—but here are some examples.



    1. The Airport: The Ultimate Captive Monopoly

    Airports are a great example of this philosophy. People think the business of an airport is landing planes, but that’s actually the worst part of the business model.

    The “Landing Fee” Trap vs. The Real Gold Mine

    You might assume an airport can just raise landing fees whenever it wants. It can’t. In almost every major jurisdiction, landing fees are heavily regulated (often termed “Single Till” or “Dual Till” regulation). They are typically set on a “cost-recovery” basis, meaning the airport is legally capped on how much profit it can make from the runway itself.

    The true moat is that building a rival airport is prohibitively difficult. This lack of competition secures the passenger flow, but the real profit engine is the terminal.

    Once a passenger is through security, they are a captive audience in a monopoly environment. The airport effectively owns the “toll road” to their wallet.

    • Vendors & Retail: The airport charges rent or takes a cut of revenue from every luxury store, duty-free shop, and restaurant. Unlike landing fees, these margins are often unregulated, and the airport holds immense leverage over tenants. This allows them to raise prices well above inflation.
    • Renting vs. Owning the Moat: Not all airports are equal. Many operate on a “Build-Operate-Transfer” (BOT) model, where you lose the asset after 25 years. I look for the rare exceptions—like specific assets within TAV Airports or Aena—that have effectively perpetual ownership or extremely long-term concessions. That is the difference between renting a moat and owning one.

    2. Seaborne Metallurgical Coal: An Irreplaceable Ingredient

    Most investors hear “coal” and run away. They are thinking of thermal coal (burning rock to make electricity).

    I am interested in Metallurgical (Met) Coal. This is not fuel; it is a chemical ingredient. You literally cannot make primary steel without the carbon from high-quality Met Coal.

    The “Scarcity & Logistics” Moat

    This is where the thesis moves beyond just digging holes in the ground.

    • Geological Rarity: You can find low-quality coal everywhere, but “Premium Hard Coking Coal” (the stuff steel mills desperately need) is incredibly rare. It is concentrated in specific geological basins, like the Bowen Basin in Australia, parts of Appalachia, and regions in Mongolia. While new deposits might be discovered elsewhere, the geology is unforgiving.
    • The Logistics Trap: Even if you find a new deposit, can you move it? A mine located 1,000 miles from a deep-water port with no rail infrastructure is at a massive disadvantage. A strategic incumbent mine doesn’t just have the coal; they have established logistics to the port.
    • The Permit Barrier: Try opening a new coal mine today. It is nearly impossible. Regulatory pressure and environmental mandates have effectively frozen the supply. Even if a competitor managed to secure a permit, the upfront capital cost is astronomical and the timeline to first production is long—often measured in years, not months.
    • The Result: The existing mines that have high-quality reserves and port access are not just businesses; they are irreplaceable assets. Will innovation eventually replace blast furnaces? Maybe one day. But we are likely talking about a transition measured in decades, not years. Until that distant future arrives, these specific mines effectively own a royalty on global construction.

    3. The “Structural Necessity” Checklist

    When I look at a new opportunity, I don’t care about their trendy marketing or their quarterly growth. As the airline industry has proven over the last century, growth by itself is no guarantee of making money. Instead, I look for four things:

    1. Necessity: If the business disappeared tomorrow, would society struggle to function? (e.g., Airports, toll roads, energy generation).
    2. Scarcity: Is it physically impossible or prohibitively difficult for a competitor to enter the market? (e.g., A new Met Coal mine or a new subway line).
    3. Substitution Risk: Can a new technology or fundamentally different approach solve the customer’s problem in a completely new way? I look for assets where the risk of substitution is extremely low for a long time.
    4. Pricing Power: Do they have a high value-add they can charge for? Can they raise prices to match—or even beat—inflation without losing customers?

    However, a crucial distinction must be made: there are great businesses, and then there are great investments. Just because a company owns a Structural Necessity does not automatically make it a buy. My goal is to find these great businesses when they are also great investments—which means I need to find them at attractive prices. The all important Margin of Safety.


  • Business Morphology

    Business Morphology

    Drawing from biology’s concept of morphology—the study of how organisms develop their form and structure—business morphology explores how companies adapt their structures and strategies to flourish amid constant change. This perspective reveals the “DNA” of truly resilient firms: those that can pivot, expand, and reinvent themselves, where sometimes a new line of business that started small can become the dominant business over time. At its heart lies adaptability, the same imperative that drives species to evolve or face extinction; in business, it enables companies to pursue expansion without risking destruction, allowing investors to identify asymmetric opportunities—limited downside paired with outsized upside.

    Just as in biological evolution, where a minor genetic variation can lead to sweeping transformations across generations, businesses often see a new line of operations—starting small and experimental—grow to become the dominant force. This shift highlights the power of adaptability in action, turning potential side ventures into core revenue drivers. These evolutions demonstrate how embracing morphological change—nurturing nascent ideas without fear of disrupting the status quo—can unlock exponential growth and long-term resilience.

    True morphers incubate new ventures either through acquisitions or by building fresh lines of business—vertically or horizontally. At their core, these companies refuse to risk everything on a single move. Instead, they make small commitments, deploying minimal capital until traction emerges. If a project shows promise, they add a bit more fuel. If momentum builds, they scale it up. But if it stalls, they cut ties swiftly. Take Amazon’s Fire Phone as an example: lacking traction, they abandoned it without a second thought. No wise morpher endangers the main operation while exploring new avenues.

    The same principle applies to acquisitions—they should be modest in scale. Failures stay contained, avoiding catastrophe for the whole enterprise. This setup fosters asymmetry: modest losses on the downside, but great potential on the upside. Drawing from The Living Company, think of every business as having an immune system. A massive acquisition—20% or more of the parent company’s value—can overwhelm it, harming core operations. But keep things small, and even a flop gets neutralized without broader fallout.

    Morphing isn’t easy. It requires juggling five to ten initiatives at once, a feat few leaders can pull off since most excel with singular focus. That’s why so few companies master it. Contrast this with Costco: they’ve honed one format to perfection and won’t budge. For them, it’s paid off handsomely.

    Morphing Levels

    • Adjacent Morphing: Gradually extend your core into related areas for sustained growth.
    • Non-Adjacent Morphing: Take daring jumps into unrelated fields for transformative reinvention.
    • Graft Morphing: Buy emerging companies and integrate them to fuel expansion.
    • Mimetic Morphing: Mimic successful competitors’ strategies for rapid adjustment.

    When a company weaves in all four? That’s what I term Range Morphing.

    Decoding DNA for Selective Swings

    To identify these qualities, dig into the founders’ DNA, the succeeding leaders, the company’s track record, and its historical shifts. The signs should leap out during research—a straightforward trail of evolution, akin to connecting dots in a child’s puzzle. The points are there; your job is to link them into a coherent image.



    To evaluate whether morphing is truly woven into the company’s fabric, start by digging into the founder’s story: Who were they, and how did they build—or fail to build—the business? Examine their track record of successes and setbacks, particularly around expansion efforts—did they experiment with new ventures, acquisitions, or pivots, and if so, how did they handle the outcomes? Crucially, gauge the scale of those failures: Were they contained experiments that didn’t threaten the core operation, or did they balloon into existential risks? This reveals if adaptability was hardwired from the start. When the founder exits, shift your lens to the new guard. Were these successors promoted from within, steeped in the company’s history, or brought in as outsiders with fresh perspectives? Scrutinize their backgrounds—have they led morphing plays elsewhere, or do they favor a more rigid, focused approach? Ultimately, ask: Does the original DNA persist, embedded in the leadership? If the spirit of disciplined experimentation endures, you’ve likely found a true morpher; if not, it may signal a drift toward complacency.

    Morphers vary in skill—from masters to mediocres—so stay attuned to the key indicators that reveal their true caliber. Older firms with 20–30 years under their belt may offer a rich morphing history to review. Younger ones (5–10 years) may provide slimmer evidence, and startups may have none. In those scenarios, scrutinize the founder’s background. If details are sparse, it might be wise to pass—or observe further. Perhaps it’s a “great mousetrap” model like Costco, where unyielding focus has done exceptionally well.

    Overlooking a genuine morpher isn’t a big loss. The real peril is mistaking a pretender for the real thing—that can lead to serious setbacks. The silver lining? With careful scrutiny, this mistake is entirely avoidable.

    To construct a portfolio of morphers over time, most people would probably start with a “base hit” approach: aim for around 10 holdings, each allocated an equal 10% stake. Even if a few underperform, just three or four big winners can deliver exceptional returns, as long as the losers don’t erode too much capital. This strategy builds in resilience—absorbing the inevitable setbacks while amplifying the successes—to create a value-investing style that weathers storms and still generates stellar results.

    That said, I lean toward the “slugging” alternative: rare but powerful swings that demand patience and ruthless selectivity. In baseball, three strikes end your at-bat, but investing offers endless chances—pass on hundreds, even 300 if necessary, until the perfect pitch shows up. This calls for real discipline; how many investors stick to just three, four, five, or six holdings total? Not many, but those who do, like Nick Sleep’s Nomad Investment Partnership, have crushed the market by concentrating on a handful of outsized winners (with Amazon and Costco often comprising 70% or more of the portfolio) instead of diluting returns across a bunch of mediocres. Embracing the Pareto Principle—where 20% of efforts drive 80% of the results—can help hone that focus on truly high-impact opportunities for maximum efficiency.



    Where I Look

    In the last two decades, roughly 2,600 companies have gone public on U.S. exchanges, yet only nine have scaled to a market capitalization exceeding $100 billion. Such explosive growth is exceedingly rare. Realistically, we can expect most companies to top out below $50 billion, making that a practical upper limit to consider when seeking substantial appreciation. To achieve a 10x return, focus on firms with market caps of $5 billion or less. For 50x potential, aim for $1 billion. And for 100x upside, target those around $500 million. Of course, nothing is assured—thorough due diligence is essential, as probabilities are merely guides, not guarantees.



    This is why I hunt in the sub-$5 billion arena, with a special eye on those $500 million market caps and under.

    Morphers

    • Amazon (Range Morpher)
    • Berkshire Hathaway (Range Morpher)
    • Alphabet (Range Morpher)
    • Alibaba (Range Morpher)
    • Microsoft (Mimetic Morpher)
    • Starbucks (Adjacent Morpher)
    • Meta (Graft Morpher)
    • Baidu (Range Morpher)
    • Tencent (Range Morpher)

    Participations

    • Edelweiss Financial
      • Has the DNA of Range Morphing but I categorize as primarily Adjacent Morphing.
    • Reysas
      • Has the DNA of Range Morphing but I categorize as primarily Adjacent Morphing.

  • Safety of Margin: The Moat Around Your Moat

    Safety of Margin: The Moat Around Your Moat

    Safety of Margin is a mental model that builds upon Benjamin Graham’s Margin of Safety by emphasizing the protective mechanisms that ensure the margin itself remains effective and resilient—much like a moat around a moat, where the outer layer safeguards the inner buffer from being breached or bypassed. In essence, without Safety of Margin, the traditional buffer against risks or unknowns can be rendered irrelevant. This framework offers another lens on risk itself: how perceived risks can actually work in your favor, while prompting you to uncover the unstated threats lurking beyond the 10-K disclosures—as Gautam Baid aptly puts it, “Risk is what’s left over after you’ve thought of everything possible, plausible, and probable.” For instance, consider an engineering perspective with a bridge designed to hold 20 tons while expecting no more than 15 tons typically, incorporating a Margin of Safety for occasional overloads. However, in the case of the Baltimore Francis Scott Key Bridge, a cargo ship collision destroyed it despite this built-in capacity, illustrating a lack of Safety of Margin—there were no adequate protections to safeguard the structure from such an external threat, making the margin moot.



    In investing, Safety of Margin can emerge from stock market volatility, which creates conditions that protect the Margin of Safety. For example, if research identifies a company trading well below its intrinsic value—based on discounted future cash flows—volatility can drive prices even lower. These price declines act as a Safety of Margin by extending the period during which the stock remains undervalued, allowing management to repurchase shares or investors to accumulate more at attractive prices. This dynamic strengthens the original Margin of Safety, ensuring the buffer against risk remains robust even in turbulent markets.

    Another structural example is the Istanbul stock market (Borsa Istanbul), where stocks cannot rise more than 10% in a single day. If a severely undervalued business begins to appreciate and reaches this daily limit, it prevents rapid spikes of 15%, 20%, or more in one session, forcing the appreciation to occur gradually over multiple days, months, years, etc. This mechanism serves as a built-in Safety of Margin by keeping the stock trading below intrinsic value for longer periods, allowing patient investors to accumulate shares and the company—guided by its management—to execute strategic buybacks that capitalize on the prolonged discount window.

    Applying this concept to the current market cycle (2025): In a frothy market environment like today’s S&P 500, lingering near record highs with lofty trailing P/E ratios that portend meager returns over the next decade amid general exuberance and cryptocurrency mania, it still makes sense to purchase a company trading at a significant discount to intrinsic value. If a sharp correction or extended bear market follows, herd mentality and emotional selling would likely yank the stock price even lower, forging a Safety of Margin. This excessive plunge turns shares into bigger bargains, allowing investors to load up further or enabling company buybacks, which actively broadens and reinforces the core Margin of Safety.

    A compelling illustration arises in the world of holding companies (HoldCos), especially in markets like India, where they frequently trade at discounts ranging from 0% to 80% to the value of their underlying assets. Discovering a HoldCo trading at a significant discount to its intrinsic value isn’t a red flag—it’s an opportunity. This persistent discount acts as a Safety of Margin, empowering the company to wisely repurchase its own shares at a steep bargain relative to their true worth. Such buybacks are highly accretive to remaining shareholders, effectively widening the protective moat and turning a perceived vulnerability into a strategic advantage.

    These examples—from engineered safeguards and market mechanics to behavioral pitfalls and structural discounts—highlight just a handful of ways Safety of Margin can weave into your investment toolkit. Yet they scratch the surface: the real power lies in the endless creative applications waiting to be uncovered, whether in niche sectors, regulatory quirks, or evolving global trends. By embracing this layered mindset, you not only fortify your positions but also transform uncertainty into a quiet ally.

  • The Triple Threat of Compounding

    The Triple Threat of Compounding

    In value investing, I often focus on what I call the “triple threat” of compounding: earnings growth (driven by factors like sales expansion), P/E multiple expansion (as the market gradually recognizes the company’s quality), and share buybacks (which reduce shares outstanding and boost earnings per share). These three elements don’t just add up—they multiply, creating explosive long-term returns when they interplay effectively.

    The style I prefer involves lower-market-cap companies that are undervalued, allowing this dynamic to unfold over time. Ideally, the stock stays below its intrinsic value for years, providing management with plenty of chances to repurchase shares at attractive prices. This accretes value to remaining shareholders while enhancing the compounding effect as the business’s intrinsic value continues to grow. I especially like when P/E expansion occurs at a measured pace—it’s preferable to sidestep quick overvaluation that could deter ongoing buybacks, rather than risking rapid surges where the market might maintain elevated prices for years, potentially reducing buyback opportunities and creating a long-term setback.

    To illustrate, let’s use a fictional small-cap company called Example Co., a niche manufacturer in a growing industry (like specialized industrial parts). We’ll model a 10-year scenario that fits this ideal: sales compound for a 4x earnings boost, the P/E ratio expands steadily from 7 to 14 (a 2x increase), and shares outstanding fall from 1,000,000 to 750,000 through value-adding buybacks (a 1.33x EPS uplift). The result? About a 10.6x total return on the stock price, or roughly a 27% CAGR.

    Here’s where the magic happens. These aren’t isolated effects; they feed into each other:

    • Earnings growth increases intrinsic value annually, widening the undervaluation gap if the P/E doesn’t expand too quickly.
    • Undervaluation allows cheap buybacks, which reduce shares and supercharge EPS growth beyond just the sales-driven earnings.
    • Gradual P/E expansion rewards patient holders without popping the compounding machine—management gets more time to buy back shares, further growing intrinsic value.

    Let’s break down the 10-year total return multiple:

    • Earnings growth multiple: 4x (15% annualized).
    • P/E expansion multiple: 2x (7 to 14).
    • Buyback multiple: 1.33x (25% share reduction from 1,000,000 to 750,000 shares).
    • Total stock price multiple: 4x × 2x × 1.33x = 10.6x.

    This translates to a stock price rising 10.6x over the decade. Your initial investment grows accordingly.

    Why This Setup is Ideal:

    • Never reaching intrinsic value: In this scenario, the stock stays below a growing intrinsic value for most of the period, providing prolonged opportunities for cheap buybacks.
    • Ongoing growth: 15% growth keeps intrinsic value climbing, creating a virtuous cycle.
    • CAGR of 27%: This crushes market averages, all from the triple threat multiplying (not adding). A 10.6x multiple over 10 years turns $10,000 into over $106,000.
    • Real-world parallels: Think of overlooked small-caps like early Monster Beverage or AutoZone, where buybacks + growth + rerating created massive wealth.

    This is why I hunt for these setups—patience pays when the interplay is right.

  • There’s Always a Bear Market Somewhere

    There’s Always a Bear Market Somewhere

    A growing chorus claims artificial intelligence is disrupting markets. Change often sparks unease, and many value investors grapple with concerns about their research processes, market efficiency, diminished information advantages, and more. From my perspective, my contrarian approach is well-positioned to thrive in this AI-driven landscape, awash with real-time data. Tools like large language models parse vast datasets in seconds, delivering insights that once required days of meticulous research. Yet, I view AI not as a cause for concern but as an opportunity to adapt to a new era of value investing, where its disruptive potential reshapes the game. In my view, this is an opportunity to focus intensely on human attributes that AI has yet to make more efficient—fear and greed, amplified by stress, loss aversion, herd mentality, and the impulsivity of overconfidence.



    My approach hinges on contrarian thinking—embracing chaos where others see only peril. Drawing on Charlie Munger’s principle of inversion, I shun the mainstream obsession with bull markets, often amplified by voices like Jim Cramer’s claim that “there’s always a bull market somewhere.” Instead, I hold that true opportunities lie elsewhere, as I often say: “There’s always a bear market somewhere.” The reason I’m drawn to turmoil is simple: chaos amplifies extreme human emotions—fear and greed—alongside stress-fueled impulsivity and herd-driven overreactions, driving irrational behavior that misprices assets. When the world’s randomness throws curveballs, opportunities emerge. With my global value approach, such curveballs are abundant, from volatile small-caps to emerging markets reeling from crises.

    In my view, a former era of value investing—perhaps a golden age—may be fading, but the future of AI’s impact remains uncertain. While many assume AI will enhance market efficiency, its broader effects could, unexpectedly, amplify inefficiencies—potentially by fueling herd behavior or creating new blind spots. Only time will reveal the full scope of this transformation, making adaptability essential for success. From my perspective, the promise of contrarian value investing lies in the opportunities it offers to the bold and discerning, who can transform market inefficiencies into lasting wealth.


  • Investing vs. Speculating

    Investing vs. Speculating

    Warren Buffett’s perspective on Bitcoin and investing provides a clear distinction from Bill Miller’s view, highlighting a fundamental debate about what constitutes an investment. Buffett argues that Bitcoin is speculative, as it produces nothing tangible—no “little Bitcoins” emerge from it—and its value depends solely on finding a buyer willing to pay more in the future. He emphasizes that true investing involves purchasing productive assets, such as businesses or real estate, which generate cash flow or tangible output. Conversely, Miller challenges this by stating, “The objective of investing is not to own productive assets, the objective is to make money.” I believe Miller’s description is better suited to speculating. I would argue, “The objective of speculating is not to own productive assets, the objective is to make money” yet this objective hinges on what I consider the unknowable. Attempting to predict Bitcoin’s future value resembles the messy macro view of guessing the future, much like ancient Etruscan diviners who spilled sheep guts to divine omens from entrails, hoping to forecast events with no reliable basis.

    My perspective aligns closely with Buffett’s, emphasizing the importance of productive assets in investment decisions. Unlike Bitcoin, which lacks a mechanism to generate output or income, assets like a metallurgical coal miner on the low end of the global cost curve, or companies like Costco, Amazon, or Walmart, produce goods or services that drive consistent revenue. These productive assets can be valued by assessing their cash flows, allowing investors to determine whether they are undervalued, fairly priced, or overvalued. This valuation hinges on understanding what is both important and knowable—a principle that is absent with Bitcoin, where its value is purely speculative, akin to the guesswork of Etruscan diviners. Even if Bitcoin did produce cash flow, it would lack a mechanism to reinvest those earnings at high rates of return. Since it generates no cash flow at all, there are no earnings to redeploy elsewhere, further limiting its ability to compound value over time, unlike businesses that reinvest profits at high rates of return.

    My investment strategy focuses on identifying “compounding machines”—businesses with the proven ability to reinvest earnings at high rates of return, driving sustainable, long-term growth. Bitcoin falls short of my criteria for a sound, long-term investment: it produces nothing, defies reliable valuation, lacks the ability to compound earnings, and fails to answer the critical questions of what is important and knowable. Instead of chasing one-off speculations, hoping my guesses about the future will entice someone to pay more later, I adhere to disciplined, repeatable strategies grounded in fundamental principles. This approach seeks consistent, predictable returns, aiming to build wealth through clarity and conviction while navigating the messy uncertainties of the world, rather than relying on speculative bets on unpredictable outcomes.