Circle of competence” sounds fancy, but it’s really just this: know what you know, and know what you don’t. In this episode, Stephen and Andrew break down how most investing mistakes happen when you get confident in a business you don’t truly understand—even if the company feels familiar on the surface.

You’ll learn how to define your circle of competence, how to expand it safely over time, and how to avoid common traps like investing in “cool” companies or getting swept up in market narratives. Stephen also shares a simple pen-and-paper method to quickly test whether a company is truly inside your circle.

What You Will Learn

What a “circle of competence” actually means (and why it matters for stock picking)
How to separate familiarity with a company from understanding the business model
How moats, competition, and industry dynamics affect long-term results
A simple checklist to test whether a company is inside your circle of competence
How to expand your circle safely (sleep on decisions, start small, watch your emotions)

Timestamps

00:00 — Why circle of competence matters

01:51 — Business understanding & where your investor advantages are

02:59 — “Know what you don’t know”

04:13 — Moats & competition

06:36 — Consumer knowledge vs business knowledge

09:14 — Stephen’s first true circle of competence stock

14:52 — The “cool company” trap

17:31 — Narrative risk

19:25 — Early wins can make you cocky

21:07 — Why narratives flip fast

26:53 — How to find your circle

35:39 — Walking away from what you don’t understand

36:35 — Real-time circle advantage

38:36 — Where to draw the line

Resources Mentioned

The Value Spotlight Newsletter:⁠⁠ ⁠https://einvestingforbeginners.com/value-spotlight-newsletter⁠⁠⁠/

Have questions or want your story featured? Email the show at ⁠⁠⁠newsletter@einvestingforbeginners.com⁠⁠⁠ or comment below. Your feedback shapes the podcast!

Remember, invest with a margin of safety—emphasis on the safety. Have a great week, and we’ll talk to you next time.

Timestamps are generated by artificial intelligence, and are not 100% accurate depending on the platform used for listening.

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