The Effective Altruism website defines EA as: "We use evidence and careful analysis to find the very best causes to work on." The Introduction to Effective Altruism post in our forum also says: "It is a research field which uses high-quality evidence and careful reasoning to work out how to help others as much as possible."
So I guess this is more or less considered the definition of EA. But as I read more about EA, I am beginning to feel like this definition may be insufficient. It looks like the EA focus splits across two schools of thought - Evidence-based giving and hits-based giving. But this definition seems like it is all about Evidence-based giving. It feels like the 'GiveWell-ness' of it all is represented but what about the 'OpenPhil-ness'?
This exclusion of hits-based giving from the definition seems problematic since 80000hours.org (one of the top 5 ways through which people actually find EA) considers Expected Value thinking (the foundation of Hits Based giving if I understand it correctly) as one of the key ideas of EA. But then you see the definition and it is not really there. In addition, the incompleteness of the definition could also make it difficult for someone to see why EA does GCR work, in my opinion. Please correct me if I am wrong but it feels like GCRs doesn't necessarily have high-quality evidence for why we should work on it but Expected Value thinking is what really makes it worth it.
UPDATE:
I had only mentioned two sources of definitions above. But there could be more that I may have missed. If you know of more please mention them in the comments/answers and I will add them to this list:
- Defining Effective Altruism by William_MacAskill. Thanks to Davidmanheim for bringing this up in the answer here. The definition given in Will's post is:
Effective altruism is: (i) the use of evidence and careful reasoning to work out how to maximize the good with a given unit of resources, tentatively understanding ‘the good’ in impartial welfarist terms, and (ii) the use of the findings from (i) to try to improve the world.
Googling, I primarily find the term "high-quality evidence" in association with randomised controlled trials. I think many would say there isn't any high-quality evidence regarding, e.g. AI risk.
The point about "working through what it really means" is very interesting. (more on this below) But when I read, "high-quality evidence and careful reasoning", it doesn't really engage the curious part of my brain to work out what that really means. All of those are words I have already heard and it feels like standard phrasing. When one isn't encouraged to actually work through that definition, it does feel like it is excluding high variance strategies. I am not sure if you feel this way but "high-quality evidence" to my brain just says empirical evide