Mental Models Cheat Sheet

How to break a marketing problem down to its base truths and rebuild the answer from scratch, instead of copying what the industry already does.

Every yes is a hidden no. How to see the campaigns you did not run, the hires you did not make, and the market you left on the table by focusing here.

Why the marketers who write clearly also strategize clearly, and how the physical act of writing exposes the holes in your reasoning before the market does.

How to spot repeating structures in data, campaigns, and consumer behavior before your competitors do, and how to avoid seeing patterns that are not there.

Before predicting how your campaign will do, look up how often campaigns like it actually work. The single most reliable fix for marketing overconfidence.

The habit of asking 'and then what?' after every marketing decision, so today's win does not become next year's structural problem.

Instead of asking 'how do we win?', ask 'how would we fail?' and then avoid every answer. Charlie Munger's favorite thinking tool, applied to marketing.

Every metric you turn into a goal stops being a good measurement. How to spot Goodhart failures in marketing dashboards and design better ones.

Why ten years of marketing experience often produces one year of learning repeated ten times, and how to actually get better at your craft on purpose.

Why channels are not silos: feedback loops, time delays, and second-order effects, the mental model behind every compounding marketing engine.

80% of your results come from 20% of your effort, and the whole system moves at the pace of one bottleneck. Two rules that decide where your next dollar and hour should go.

How to change your mind proportionally when new evidence lands, without ignoring your priors or overreacting to the latest data point.

Thinking in bets, expected value, and reversible-vs-irreversible calls: how to make good marketing decisions when the data cannot tell you the answer.

Know the boundary of what you genuinely understand, and stay inside it, or expand it deliberately, instead of making confident calls on false expertise.

Fragile things break under stress, resilient things withstand it, antifragile things get stronger from it. How to build a marketing strategy that benefits from volatility.

Jeff Bezos' age-80 thought experiment for making bold, irreversible calls, and why it backfires when applied to small, reversible ones.

Why 'this looks pointless, let's cut it' is the most expensive sentence in marketing, and a framework for understanding a rule before you remove it.

Why cutting a bad channel is usually safer than adding a new one, and how Nassim Taleb's 'via negativa' principle turns marketing improvement into a subtraction problem.

Why the angry customer, the aggressive competitor, and the difficult cross-team email are usually confused, not out to get you.

Every dashboard, persona, and dataset is a simplified stand-in for reality, not reality itself. The lesson is what happens when marketers forget the difference.

The most recent or vivid data point, a viral competitor post, a single angry customer, distorts marketing prioritization far more than it should.

Why small, consistent marketing efforts like SEO, brand, and an email list beat sporadic big swings over a long enough time horizon, with the actual math behind why.

Charlie Munger's 'show me the incentive, I'll show you the outcome' explains why sales comp plans, agency fees, and affiliate payouts quietly produce behavior nobody wanted.

Why 'don't lose your spot' outperforms 'get a bonus' in marketing copy, the prospect theory research behind it, and the ethical line between using this bias and exploiting it.

Borrow Benjamin Graham's investing discipline to build slack into budgets, timelines, and forecasts so one wrong assumption does not sink the plan.

Why the boring explanation for a campaign's performance is usually the correct one, and how marketers waste weeks building elaborate theories instead of checking the obvious cause first.

In evolutionary biology, species must keep adapting just to stay in place, and paid ads and SEO run on the exact same treadmill.

Why viral case studies and 'best practices' mislead marketers, because you only ever hear from the campaigns that worked, never the thousand that used the same tactic and quietly died.

Why some products can raise prices freely and others can't, how competitor substitutes cap your pricing power, and why price wars are a prisoner's dilemma that destroys value for everyone.