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Anthony’s NotesA personal field guide
From the notebook

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David Burkus

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Review

🛠️ Active Reading Workflow

1. Prime (5 min)

  • Thesis Prediction:
  • Prior Knowledge:
  • Questions to Answer:

2. Process (The “During” Loop)

Mark: T (Thesis), R (Reason), E (Evidence), D (Def), O (Objection).

  • [ ] Q→A: Convert headings to questions; notes = answers.
  • [ ] Feynman Check: Explain dense sections in 1-2 sentences.
  • [ ] Originality: One original analogy/example per concept.

3. Review & Consolidate (Post-Session)

  • [ ] Recall Dump: (Close book, list claims/terms).
  • [ ] 3-2-1: 3 takeaways · 2 questions · 1 application.
  • [ ] High-Yield Flashcards: (Definition, Claim → Reason, Objection).

🏛️ Analytical Deep-Dive (Adler/Paul-Elder)

ElementSummary / Notes
UnityThe book in one sentence.
ProblemThe central question the author is solving.
PropositionsMain claims in my own words.
LogicPremises → Conclusion.
CriticismIs the author uninformed, misinformed, or illogical?

Counter-Argument (Steelman):


🚀 Application & Quality Gates

  • The Experiment: [Define one behavior change].
  • Gate 1: I can explain this in 3 mins without notes. [ ]
  • Gate 2: I have at least one original counter-argument. [ ]
  • Gate 3: Notes are <10% of original text length. [ ]

🖋️ Scratchpad

Unfiltered thoughts, argument trees, or “what if” scenarios.

AI Summary

Highlights