Learning to Learn

Original Article ↗ Hacker News Discussion ↗

Learning how to learn emerges as a distinct skill from learning any single subject, but people disagree on how to approach it. Commenters wrestle with practical problems like identifying “foundational” knowledge as a novice, avoiding the “expert beginner” trap, and choosing resources or curricula when paths branch endlessly. Many emphasize active practice, spaced and effortful study, and guidance from experts or textbooks, while others stress that curiosity, enjoyment, and realistic goals are just as important as efficiency metrics.

Identifying “Foundational” Knowledge

  • Many struggle to know what foundations to learn as a novice; it’s hard to see the “root nodes” of a field from the outside.
  • Suggested heuristics:
    • Start from concrete problems and learn only what’s needed to solve them.
    • Notice concepts or procedures that recur across many problems.
    • Accept that in many domains there is no single strict foundation; “good enough for your goals” may suffice.
  • Some argue you can’t identify foundations in advance; you discover them iteratively as gaps appear.

Novice → Expert & Dunning–Kruger

  • Rough progression suggested:
    • Beginner: can’t complete projects without support.
    • Intermediate: can complete but unsure about quality.
    • Expert: has done it before in multiple ways and can explain it simply.
  • Several comments stress Dunning–Kruger: early confidence often masks large gaps; you need external feedback and harder questions to see what you don’t know.

Curriculum, Resources & the Role of Experts

  • One camp: finding the single “best” resource (e.g., a canonical textbook) is crucial; curriculum design is a big part of learning.
  • Counterpoint: “best resource” hunting easily turns into procrastination; “accurate and good enough” plus steady work usually beats endless optimization.
  • Tactics mentioned: use university reading lists, ask experts to sketch a path, study well-regarded open-source projects, and use LLMs for topic maps (but not for citations).

Practice, Projects & Interviews

  • Strong agreement that you must “do the thing”: use new skills in real tasks or projects.
  • Tension noted between learning for real-world work vs. preparing for interviews that test narrow trivia or tooling.

Efficiency vs Enjoyment

  • Some find “learning efficiency” talk sterile; they prioritize curiosity, joy, and exploration.
  • Others emphasize that real progress often feels effortful and boring; grit and drills matter, especially for math and similar fields.
  • Nuanced view:
    • Consistency can beat intensity (e.g., many easy “reps” vs. rare brutal sessions).
    • Fun, flow, and efficient methods can coexist; context (job vs hobby, time constraints) should drive the mix.

Language Learning & Pareto Ideas

  • Using frequency lists (e.g., top 800 words) is attractive, but multiple commenters say:
    • 75–80% word coverage still feels like understanding very little; comfortable reading often needs ~95–98% coverage and thousands of words.
    • Grammar, multiword expressions, and lots of input are essential.
  • Still, a few hundred–thousand high-frequency words can enable basic fluency and communication, especially in speech.

Medicine as a Case Study in Self-Learning

  • A thread explores self-studying medicine: using med-school textbook lists, anatomy/physiology texts, and clinical guidelines to better understand one’s own conditions.
  • Some enthusiasm: laypeople can significantly improve their health literacy and interactions with doctors.
  • Skepticism: full medical competence requires many years of supervised clinical experience; self-study can’t substitute for that, especially for procedures and complex chronic care.