Brainmaxing
Library

What to read next, and why that one

106 books, papers and courses, each with the reason it earns your time rather than a summary of what is in it. Two of the cards say where the popular version of the work differs from the work. Nothing here links to a shop.

9 of these 106 cards are marked Public and open on this site. The rest open inside an account, where the reading state and the paths are.

Unreviewed — agent-drafted

Every card in this catalogue was drafted by a software agent and has not yet been read against the evidence rules. No card quotes the work itself; each one is a description written for this catalogue, with the bibliographic details checked against a public catalogue.

Start here

Thinking in Bets: Making Smarter Decisions When You Don't Have All the Facts

We recommend it as the short one to read first: it takes an evening and it makes the decision journal in Brain Logic feel obvious rather than like homework.

BookAnnie DukeAbout 6 hours

Why this onePublic

If you would rather have an order

25 short paths

Each path is three to six items and a reason for the sequence. That is a commitment somebody might keep; a twenty-item path is a wish.

By subject

Collections

Books

Books

Papers

Papers

Courses

Courses

  • The Human Brain (MIT 9.13)

    Prof. Nancy Kanwisher2019About 36 hoursadvanced

    We recommend it as the deepest card on the neuroscience shelf, and as the one that makes our own map-not-tissue rule feel like a technical necessity rather than a legal caution.

  • Learning How to Learn: Powerful mental tools to help you master tough subjects

    Barbara Oakley and Terrence SejnowskiAbout 12 hoursbeginner

    We recommend it as the gentlest on-ramp on the learning shelf, with one caveat: read its brain-metaphor language as a teaching aid, and come here to the papers for the mechanism.

  • Calling Bullshit: Data Reasoning in a Digital World

    Carl T. Bergstrom and Jevin D. West, University of WashingtonAbout 14 hoursbeginner

    We recommend it as the practical partner to The Art of Statistics: the book gives you the reasoning, this course gives you thirty worked examples of it failing in public.

  • Introduction to System Dynamics (MIT 15.871)

    Prof. John Sterman and Prof. Hazhir Rahmandad2013About 30 hoursadvanced

    We recommend it to anyone who finished Thinking in Systems wanting to test a loop rather than describe one; skip it otherwise, since thirty hours is a real cost.

  • Introduction to Psychology (Yale PSYC 110)

    Prof. Paul Bloom2007About 24 hoursbeginner

    We recommend it as the background card: if a paper on this shelf felt like it was written for someone else, this is the course that makes it readable. Note that it is a 2007 term, so the most contested recent findings are not in it.

  • Negotiation and Conflict Management (MIT 15.667)

    Prof. Mary Rowe2001About 20 hoursintermediate

    We recommend it after Getting to Yes: the book gives you the four moves, this gives you the exercises that make them survive a real conversation. The 2001 materials are dated in examples, not in method.

  • Introduction to Probability (MIT RES.6-012)

    Prof. John Tsitsiklis and Prof. Patrick Jaillet2018About 40 hoursadvanced

    We recommend it only to members who want the mathematics itself. For everything else on this shelf, the Analyst mode's prior-evidence-posterior card in words is enough.

  • Psychology and Economics (MIT 14.13)

    Prof. Frank Schilbach2020About 36 hoursadvanced

    We recommend it for the member who has read the popular behavioural books and wants the models and the evidence underneath them, which is where the qualifications live.

  • Introduction to Psychology (MIT 9.00SC)

    Prof. John D. E. Gabrieli2011About 34 hoursbeginner

    We recommend it as the background course for the whole catalogue: a member who has watched it will read every psychology paper here with the field's methods already in view.

  • Minds and Machines (MIT 24.09)

    Prof. Alex Byrne2011About 30 hoursadvanced

    We recommend it beside the neuroscience cards, because a member who can say what a brain measurement would and would not settle is much harder to sell a brain claim to.

  • Philosophy and the Science of Human Nature (Yale PHIL 181)

    Professor Tamar Gendler2011About 26 hoursintermediate

    We recommend it as the course that connects the practical shelves here to the older question they all assume an answer to, and because Gendler is a genuinely excellent lecturer.

  • Game Theory (Yale ECON 159)

    Professor Ben Polak2007About 28 hoursintermediate

    We recommend it as the strategy shelf's formal counterpart: the books there teach you to choose, and this teaches you to reason about the person choosing against you.

  • Model ThinkingPublic

    Scott E. PageAbout 22 hoursintermediate

    We recommend it as the systems shelf's course, and because it teaches the habit that this catalogue is arranged around: holding several accounts of the same thing rather than settling on one.

  • Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential

    Barbara OakleyAbout 14 hoursbeginner

    We recommend it as the second course after Learning How to Learn, with the same caveat: take the routines, and come to the papers on this shelf for the evidence behind them.

  • Introduction to Mathematical Thinking

    Keith DevlinAbout 30 hoursadvanced

    We recommend it as the hardest course on this shelf and the one with the widest reach: precision about what a statement claims is the skill underneath every card in the evidence collection.

All notes

The sourced notes, and what is planned and not written yet.

How a pathway works

Stages, practice and spaced review — and the claim it declines to make.

The thinking modes

The four families, and the question each mode asks first.