Introduction

The Best Textbooks on Every Subject is the Schelling point for the best textbooks on every subject. My The Best Tacit Knowledge Videos on Every Subject is the Schelling point for the best tacit knowledge videos on every subject. This post is the Schelling point for the best reference works for every subject.

Reference works provide an overview of a subject. Types of reference works include charts, maps, encyclopedias, glossaries, wikis, classification systems, taxonomies, syllabi, and bibliographies.

Reference works are valuable for orienting oneself to fields, particularly when beginning. They can help identify unknown unknowns; they help get a sense of the bigger picture; they are also very interesting and fun to explore.

How to Submit

My previous The Best Tacit Knowledge Videos on Every Subject uses author credentials to assess the epistemics of submissions. The Best Textbooks on Every Subject requires submissions to be from someone who has read at least three textbooks in the textbook domain.

It is more difficult to assess the epistemics of reference works than tacit knowledge videos and textbooks due to the breadth of the category “reference work”. That being the case, reference works are selected and included based on my judgment. The key question I intend to answer in selecting reference works is: “Does this reference work feel useful and interesting for giving me orientation in a domain?”

If you know of any reference works, I warmly invite you to submit them in the LessWrong comments with the following structure:

Domain: Philosophy

Link: History of Philosophy - Summarized & Visualized

Author(s): Deniz Cem Önduygu, Hüseyin Kuşçu, and Eser Aygün

Type: Interactive Chart

Why: Cool, comprehensive, interactive chart that shows the history of philosophy along a diagonal line. 

The List

Humanities

History

  • Histography by Matan Stauber [interactive timeline] — Wikipedia‑driven interface plotting 14 billion years of events; scale toggles from decades to geological eras and updates daily.
  • Timeline of World History Poster by UsefulCharts [chart] — wall chart aligning all major civilizations 3300 BCE – present with consciously reduced Euro‑centric bias.
  • Timeline of US History Poster by UsefulCharts [chart] — 2025 update spans colonial era to today; features two overview maps plus photos of all 47 presidents, color‑coded by party.
  • Technology over the long run by Max Roser [chart] — Interactive spiral and linear timelines tracing 3.4 million years of technological milestones to illustrate accelerating change.
  • HyperHistory Online by Andreas Nothiger [interactive timeline] — “Synchronoptic” lifelines, timelines, and maps condensing 3,000 years of world history into a single navigable view.
  • Adams Synchronological Chart (Map of History) [chart] — 23‑ft illustrated timeline spanning 4004 BC → 1881 AD; America’s 19th‑c. “grand synthesis.”

Religion

Philosophy

Literature

  • Great English Literature by Henry Oliver [syllabus] — Canon‑focused roadmap from Homer to Hilary Mantel, outlining genre taxonomy, foundational works, and anthologies.

Formal Sciences

Computer Science

Mathematics

  • The Princeton Companion to Mathematics by Timothy Gowers (ed.) [reference book] — 1034‑page 2008 encyclopedia of modern mathematics: 133 expert contributors survey key concepts, research fields, famous problems, history, and applications; winner of the 2011 Euler Book Prize.
  • Timeline of Mathematics by Mathigon (Philipp Legner) [interactive timeline] — Zoomable scroll tracing 20,000 BCE to present with 200 + mathematicians, discoveries, and artefacts, each linked to bite‑size bios and context.

Natural Sciences

Physics

  • Landmark Numbers by Miles Kodama [list] — Order‑of‑magnitude figures (Earth radius, US population, etc.) for mental estimation. 

Earth Science

  • Water Librarians’ Home Page by Robert Teeter [directory] — Since 1996, a curated link hub for water‑science librarians: agencies, utilities, catalogs, publishers, associations.

Astronomy

  • Johnston’s Archive by Wm. Robert Johnston [directory] — Independent trove on astronomy, nukes, terrorism, casualty stats, and more.

Professional and Applied Sciences

Library and Information Sciences

Education

Research

  • Connected Papers [interactive chart] — Tool that helps navigate paper references using a tree of nodes.
  • Gap Map by Convergent Research [interactive map] — Visual catalogue of “fundamental‑development” R&D gaps, needed capabilities and resources.
  • SpringerLink Journals A‑Z [journal index] — Alphabetical browser for 10M+ Springer Nature articles and 3,000 titles.

Finance

  • Economic Sectors by TradingView [classification system] — Clickable of all economic sectors and industries in the U.S.
  • Stock Heatmap by TradingView [interactive chart] — Heatmap of public company stocks sorted by industry.

Medicine and Health

  • Drugs@FDA Databases [database] — Official queries for Drug Approvals, Orange Book, NDC codes, guides, and post‑marketing data.
  • Improving Clinical Trial Design by Saloni Dattani [syllabus] — Crash‑course  + deep‑dive readings on RCT history, regulation, platform/adaptive designs, and statistical power for faster, cheaper drug discovery.

Meditation

Urban Planning

  • Cities by Devon Zuegel [syllabus] — Urbanism primer spanning agglomeration economics, planning ideologies, and new‑city experiments, with walking‑tour heuristics and essential texts.
  • Housing Supply by Sam Bowman, Ben Southwood, and John Myers [syllabus] — Evidence‑packed guide to YIMBY economics: supply‑demand fundamentals, “housing theory of everything,” NIMBY politics, and global case studies. 

Forecasting

  • Map of the Prediction Market & Forecasting Ecosystem by Saul Munn [directory] — Reasonably comprehensive mapping of the prediction market/forecasting ecosystem, including prediction markets, forecasting platforms, research/consultancy firms, tools, resources for learning, community infrastructure, and media/news/journalism.

Social Sciences

Economics

  • EconGraphs [glossary] — A bunch of economics graphs like supply and demand, production possibilities frontier, etc.

Political Science

By Medium

Other Lists like This

Further Reading


Thanks to Saul Munn and Collisteru for conversations that inspired this post. Thanks to Skyler Crossman and nomagicpill for helpful feedback on this post. Thanks to ChatGPT o3 for helping me generate descriptions for some of these links and Claude for helping me rewrite some sentences.

Also, this post and The Best Tacit Knowledge Videos on Every Subject take time to maintain. If you’d like to help, drop me a line! I'll pay you $2/entry-added.

New Comment
27 comments, sorted by Click to highlight new comments since:

Domain: Prediction Markets

Link: predictionmarketmap.com

Author(s): Saul Munn (self)

Type: Mapping of an ecosystem

Why: Reasonably comprehensive mapping of the prediction market/forecasting ecosystem, including prediction markets, forecasting platforms, research/consultancy firms, tools, resources for learning, community infrastructure, and media/news/journalism.

Thanks, added!

The link seems broken

hmm, it works for me — in what way does it seem broken to you?

predictionmarketmap.com works, but is not the link used in the post.

ahh, thanks! @Parker Conley please fix the hyperlink in your post :)

Domain: AI safety from the perspective of what AI companies are doing and should do

Links: AI Lab Watch and AI Safety Claims Analysis

Author: Zach Stein-Perlman

Type: website

Domain: Mathematics

Link:  Teach Yourself Logic

Author(s): Peter Smith

Type: Study Guide

Why: Extremely thorough guide to logic textbooks from start to finish. Compares pros and cons of various books, tells you what parts you can skip, and identifies books with good exercises.

Complete garbage, sorry. It is "funny animated charts", not "reference works". List of things with almost zero benefit that I will never read, like the 99.9% who saw this post. Couldn't find ANYTHING useful, really , e.g.:
1) "The Princeton Companion to Mathematics" - is not about math but about "history of math". Not even on subject. Math is not "collection of biographies of nearly 100 famous deceased mathematicians"
2) "Meditation" - give me books on HOW TO meditate, not on meditation locations lol. Location doesn't mean anything, the process is essential. Whole topic is misguided
3...inf) same problems as for examples above

Any love for the Stanford Encyclopedia of Philosophy?

Domain: (Applied) Bayesian Statistics

Link: Statistical Rethinking (free pdf), My Less Wrong Review, The 2017-2023 Lectures*

Author: Richard McElreath

Type: Book, YouTube lectures and less wrong post about Bayesian Statistics books in general

Why: Modern Bayes relies on HMC sampling, this book goes all in on this approach, this allowed you to focus on how to build the model and allows you to skip all math (except for the link function), by sacrificing a little bit of mathematical rigor this book covers more than all other popular books on the subject, to the point where you can stop 2/3 way trough and consider the last 1/3 "advanced optional topics". 

*The 2017 and 2019 were great, I have not watched the newer versions of the course, the older versions of the book uses ulam a pedagogical STAN wrapper powerful enough for most of the the exercises in the book, written by the author, I would advice serious students to do all the models in Stan, pymc or a wrapper that uses those.

Domain: Mathematics, linear algebra

Link: Matrix Computations

Authors: Gene H. Golub, Charles F. Van Loan

Type: Textbook

Why: This is the most comprehensive book I've found on the algorithms of numerical linear algebra

[-]Ruby30

Curated. At first it seems a little odd to recommend lists of content in this day and age when for many or most purposes, you'll go to your local shoggoth. This compilation is pretty good though. I think there's something to be said for human works and "cleanliness" of the process that produced them, but also this list contains a number of resources that LLMs just aren't making yet: some pretty neat visualizations, and e.g. lists of of lists (of lists). An approach I like is to take a reference work and load it into an LLM as context before getting tutoring on a topic. LLMs being able to surface diagrams and images from the text will make this even better.

Here are some of my favorites (though I haven't look through them all):

I'm glad this exists and I think is worth taking a look for most people. Kudos!

[-]jmh20

I would add best literature survey piece for the given subject area as another type of reference material people should submit.

Domain: Religion

Link: source


Author(s): Simon E Davies

Type: Chart


Why: Best chart I've seen on the historical development of religions. More comprehensive than UsefulCharts.

[-]Siya10

Domain: Computer Science, AI Safety

Link: AI Safety Graph

Author(s): Savva Lambin, Matin Mahmood, Samuel Ratnam, Sruthi Kuriakose, Pandelis Mouratoglou

Type: Interactive Map

Why: Intuitive to navigate, comprehensive semantic mapping of research across the AI safety field, thorough representation of subfields.

Domain: Biology

Link: LifeMap

Author(s): Damien de Vienne, Joaquim Martin, Julien Barnier

Type: Interactive Chart

Why: An interactive, zoomable map depicting the phylogenetic relationships between known (extant) species on the tree of life. Currently contains over 2,000,000 species.

> The Best X for every Y

Man, people really love listicles, don't they?

It's not a listicle. It's a crowd-contributed repository.

Domain: History (or Social Sciences)

Link: calculatingempires.net

Authors: Kate Crawford and Vladan Joler

Type: Historical chart

Why: This map traces the history of technical and social structures and how they have co-evolved over five centuries. If we are to address the urgent challenges of the contemporary time - including technocratic fascism, climate catastrophe, colonial wars, and wealth inequality - we need to contend with the interwoven nature of their histories.

Domain: Forecasting

Link: Forecasting AI Futures Resource Hub

Author(s): Alvin Ånestrand (self)

Type: directory

Why: A collection of information and resources for forecasting about AI, including a predictions database, related blogs and organizations, AI scenarios and interesting analyses, and various other resources.

 

It's kind of a complement to https://www.predictionmarketmap.com/ for forecasting specifically about AI

Domain: Physics

Link: How to Learn Physics for Free

Author(s): Alastair Williams

Type: Study Guide

Why: Your physics section is sadly underpopulated and this site is a maintained and comprehensive list of resources for studying many different areas of physics.

A Schelling point is something people can pick without coordination, often because it feels natural or obvious.

Domain: Other Lists like This

Link: Map of Reddit (warning: pressing enter does not work in the search box, you have to click on a suggested subreddit in the dropdown)

Author(s): Andriy Kashcha 

Type: Interactive Chart

Why: Groups Reddit's subreddits into categories & shows subreddits related to a given one.

Domain: Linguistics

Sub Domains: Psychology, Neuroscience, Epistilography, Etymology 

Link: How Language Works

Author(s): David Crystal

Type: Book

Why: Covers every part of language you can dream of. The author is obsessive and meticulous. From hieroglyphs to Heschl's gyri, Crystal covers it all.

Domain: Statistics

Link: Statistics for the Rest of Us

Author(s): Albert Rutherford

Type: Book

Why: I do not recommend this to anyone familiar with statistics. But, I do recommend this as an introduction to many basic topics in stats. I had studied a bit of stats before reading the book, but found it pretty illuminating. I read the entire thing in the course of 1h plane trips. It puts a lot of the abstract math into clear scenarios.

Domain: AI safety (better known as "The alignment problem")

Links:
here’s 16 minute’s worth of overview that basically covers all you’d need to know about what AI safety specifically is: 

  1. Could AI wipe out humanity? | Most pressing problems (10 mins),
  2. The real risk of AI (6 mins)
  3. Look at this graph

If you’d be curious to learn more about the nitty-gritty of AI safety, watch (in this order):

  1. Intro to AI Safety, Remastered (18 mins) (Sidenote: The original video is from 2016, & back then people thought AI would develop much slower.)
  2. The OTHER AI Alignment Problem: Mesa-Optimizers and Inner Alignment (23 mins)
  3. Using Dangerous AI, But Safely? (30 mins)

Author(s): 80000 Hours, Siliconversations, Metaculus, Rob Miles.
Type: list
Why: To use as a quick intro

[+][comment deleted]10
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