Designing for a skewed outcome distribution, setting the entry condition that makes "buy and forget" safe, and separating the things you control from the things you do not.
1. Design the portfolio for the distribution, not for the average outcome
The repeatable method
- Accept in advance that most positions will do little and one or two will produce nearly all the return.
- Hold enough names that at least one can be the outlier, but few enough that you actually know each of them.
- Never size on the assumption that you can identify the winner up front — the historic record says you cannot.
- Do not trim the winner to rebalance. Trimming truncates precisely the outcome the whole design depends on.
- Accept the write-offs. A position that goes to zero costs 100% of a small stake; the outlier can return many multiples of everything.
Here: Bob Kirby's 1984 story, told with the numbers. Of four holdings, "one company had gone bankrupt, two others had no returns", and one $5,000 position became $800,000. A 25% hit rate produced the entire result — and the reason it survived to do so is that nobody was watching.
Watch for
- The survivorship in the anecdote. We hear about the coffee cans that worked; the widow whose four all went nowhere has no story.
- Position sizing that only works if the winner is large enough to matter. A 160x on 2% of a portfolio is a different outcome from a 160x on 25%.
2. Make conviction the entry condition for a buy-and-forget position, not a hoped-for outcome
The repeatable method
- Before buying, decide whether this is a name you would be content never to check on.
- If it is not, it does not go in the coffee can — it goes in the part of the book you monitor and are willing to sell.
- Write down what "absolute conviction" required, so it can be revisited if the facts change.
- Do not convert a monitored position into a forgotten one after it falls. That is neglect, not patience.
Watch for
- Using "long-term" as a euphemism for refusing to sell a mistake. The ten-year test is the way to tell the two apart.
- Conviction that was never written down. If you cannot reconstruct why you bought it, you cannot know whether the reason still holds.
3. Separate what you control from what you do not, and set expectations accordingly
The repeatable method
- List what is genuinely within your control: what you buy, what you pay, position size, holding period, costs, and how often you look.
- List what is not: the market, the cycle, the multiple others will pay, and the year in which value gets recognised.
- State publicly, in advance, that you will not beat the market every year. It removes the incentive to do something stupid in a bad one.
- Report on the controllable things — fundamentals, cash flow, quality — and use price only at the two moments it matters.
Here: the pilot's line, quoted from a flight: "
The most dangerous thing in aviation isn't the storm. It's the pilot who thinks he can outfly it." Applied as: "as investors we do not have any control over the markets. We are humble enough to know that we may not outperform the markets every single year." Which is the same discipline as the
28 April decision to track free cash flow, portfolio fundamentals and owner's earnings instead of the share price.
Watch for
- Humility that only appears after a bad run. The published scorecard shows a 3-year return of 5.6% against 22.3% for the index — this paragraph is doing real work.
- The difference between accepting underperformance and never checking whether the process is broken.
4. Get the savings machine right before optimising the stock selection
The repeatable method
- Pay yourself first: move the savings before the spending, not from what is left over.
- Control expenses, so the amount available to invest is a decision rather than a residual.
- Put the capital to work so it compounds on its own.
- Only then does security selection matter — it multiplies whatever the first three produce.
Here: The Richest Man in Babylon reduced to three rules — "pay yourself first; control your expenses; make your money work for you." None of them is about stock picking, which is unusual for this archive and is the point.
Watch for
- Spending research effort on the smallest lever. For most portfolios the contribution rate dominates the security selection for years.
The repeatable method
- When a summary pitch describes a moat, check it against the most recent event affecting that moat.
- If the pitch calls a selloff an opportunity without naming its cause, supply the cause yourself before acting.
- Look for the same name in longer-form work from the same week, where the risk is more likely to be argued properly.
- Treat repetition across formats as marketing cadence, not as accumulating evidence.
Here: FICO is described as having "a very strong moat based on network effects and
regulatory barriers" — with no mention of the FHFA's approval of VantageScore 4.0 for mortgage underwriting, which is what took the stock
more than 55% below its peak two days earlier. The only nod is "the current selloff could provide opportunities." The full argument does exist, in the Best Buys issue. Note the cadence:
Best Buy #5 on 3 May, pitched again on 5 May, upgraded Hold→Buy on 7 May — three appearances in five days.
Watch for
- The claimed moat and the live threat being the same thing. Here both are regulation.
- Familiarity accumulating into conviction through repetition rather than through new evidence.
Methods distilled from the archived Compounding Quality post for personal study. Not investment advice.