Apparently Shelly Kagan has a book coming out soon that is (sort of?) about moral weight.
This scoring rules has some downsides from a usability standpoint. See Greenberg 2018, a whitepaper prepared as background material for a (forthcoming) calibration training app.
Some other people at Open Phil have spent more time thinking about two-envelope effects more than I have, and fwiw some of their thinking on the issue is in this post (e.g. see section 184.108.40.206).
My own take on this is described briefly here, with more detail in various appendices, e.g. here.
Yes, I meant to be describing ranges conditional on each species being moral patients at all. I previously gave my own (very made-up) probabilities for that here. Another worry to consider, though, is that many biological/cognitive and behavioral features of a species are simultaneously (1) evidence about their likelihood of moral patienthood (via consciousness), and (2) evidence about features that might affect their moral weight *given* consciousness/patienthood. So, depending on how you use that evidence, it’s important to watch out for double-counting.
I’ll skip responding to #2 for now.
For anyone who is curious, I cite much of the literature arguing over criteria for moral patienthood/weight in the footnotes of this section of my original moral patienthood report. My brief comments on why I’ve focused on consciousness thus far are here.
Cool, this looks better than I’d been expecting. Thanks for doing this! Looking forward to next round.
Hurrah failed project reports!
One of my most-used tools is very simple: an Alfred snippet that lets me paste-as-plain-text using Cmd+Opt+V.
From a user’s profile, be able to see their comments in addition to their posts.
Dunno about others, but this is actually one of the LW features I use the most.
(Apologies if this is listed somewhere already and I missed it.)
Probably not suitable for launch, but given that the epistemic seriousness of the users is the most important “feature” for me and some other people I’ve spoken to, I wonder if some kind of “user badges” thing might be helpful, especially if it influences the weight that upvotes and downvotes from those users have. E.g. one badge could be “has read >60% of the sequences, as ‘verified’ by one of the 150 people the LW admins trust to verify such a thing about someone” and “verified superforecaster” and probably some other things I’m not immediately thinking of.
Best Textbooks on Every Subject
Thanks for briefly describing those Doctor Who episodes.
Lists of textbook award winners like this list might also be useful.
Today I encountered a real-life account of a the chain story — involving a cow rather than an elephant — around 24:10 into the “Best of BackStory, Vol. 1” episode of the podcast BackStory.