The obvious answer is 'the sequences' but imo that is neither necessary nor sufficient. The Sequences are valuable but they are quite old at this point. They also run to over a million words (though Rationality AtZ is only ~600k). Here is a list of core skills and ideas:
1 - Rationality Techniques
Ideally, an experienced rationalist would have experience with most of the CFAR manual. Anyone trying to learn this material needs to actually try the techniques; theoretical knowledge is not enough. If I had to make a shorter list of techniques I would include:
- Double Crux / Internal DC
- Five-minute Timers
- Trigger Action Plans
- Bucket Errors
- Goal/Aversion Factoring
- Gears Level Understanding
- Negative Visualisation / Murphy-Jitsu
- Focusing
2 - AI Risk: Superintelligence
The rationality community was founded to help solve AI risk. Superintelligence gives an updated and complete version of the 'classic' argument for AI-risk. Superintelligence does not make as many strong claims about takeoff as Elizer's early writings. This seems useful given that positions closer to Paul Christiano's seem to be gaining prominence. I think the 'classic' arguments are still very much worth understanding. On the other hand, Superintelligence is ~125K words and not easy reading.
I think many readers can skip the first few chapters. The core argument is in chapters five through fourteen.
5. Decisive strategic advantage
6. Cognitive superpowers
7. The superintelligent will
8. Is the default outcome doom?
9. The control problem
10. Oracles, genies, sovereigns, tools
11. Multipolar scenarios
12. Acquiring values
13. Choosing the criteria for choosing
14. The strategic picture
3 - Cognitive Biases: Thinking Fast and Slow
Priming is the first research area discussed in depth in TF&S. Priming seems to be almost entirely BS. I would suggest skipping the chapter on priming and remembering the discussion of the 'hot hand fallacy' seems incorrect. Another potential downside is the length (~175K words). However, I don't think there is a better source overall. Many of the concepts in TF&S remain fundamental. The writing is also quite good and the historical value is extremely high. Here is a quick review from 2016.
4 - Statistics
It is hard to be an informed rationalist without a basic understanding of Bayesian thinking. You need to understand frequentist statistics to evaluate a lot of relevant research. Some of the most important concepts/goals are listed below.
Bayesian Statistics:
- Illustrate the use of odd's ratio calculation in practical situations
- Derive Laplace's rule of succession
Frequentist Stats - Understand the following concepts:
- Law of large numbers
- Power, p-values, t-tests, z-tests
- Linear Regression
- Limitations of the above concepts
5 - Signalling / The Elephant in the Brain
The Elephant in the Brain is a clear and authoritative source. The ideas discussed have certainly been influential in the rationalist community. But I am not what epistemic status the community assigns to the Hanson/Simler theories around signaling. Any opinions? For reference here are the topics.
PART I Why We Hide Our Motives
- 1 Animal Behavior
- 2 Competition
- 3 Norms
- 4 Cheating
- 5 Self-Deception
- 6 Counterfeit Reasons
PART II Hidden Motives in Everyday Life
- 7 Body Language
- 8 Laughter
- 9 Conversation
- 10 Consumption
- 11 Art
- 12 Charity
- 13 Education
- 14 Medicine
- 15 Religion
- 16 Politics
- 17 Conclusion
What am I missing? Try to be as specific as possible about what exactly should be learned. Some possible topics discussed in the community include:
- Economics
- The basics of the other EA cause areas and general theory? (at least the stuff in 'Doing Good Better')
- Eliezer says to study evolutionary psychology in the eleventh virtue but I have not been impressed with evo-psych.
- Something about mental tech? Maybe mindfulness, Internal Family Systems, or circling? I am not confident anything in space fits.
Econ in general, no. The specific model of rational actors optimizing for outcomes, the intuition for why markets often succeed at delivering on desires (at least for those with money), and the practice of making multi-stage models and following an impact in one area through to others, yes. Nobody needs macro. Lots of people need to reflexively think of how other actors in a system respond to a change, and econ is one of the more effective ways of teaching this. Critical if you want to actually have a good understanding of multi-polar scenarios. What I'm talking about is rarely adequately understood just by studying game theory, which usually analyzes games too simple to stick in student's minds, but it matters.
In addition to understanding what statistics are on a theoretical level, an intuitive understanding that getting the right numbers yields real benefits, and that the right numbers are very precisely defined, seems important.
These are both softer skills, but I think that they're important.
A note of caution here. Econ is one of those disciplines where many people think they grasp the fundamentals, but actually don't. I think if someone can't give worked examples (with numbers or graphs) for concepts like deadweight loss, comparative advantage, or tax incidence, their intuition probably points in subtly wrong directions, and would benefit from learning this stuff systematically.