If it's worth saying, but not worth its own post (even in Discussion), then it goes here.
Notes for future OT posters:
1. Please add the 'open_thread' tag.
2. Check if there is an active Open Thread before posting a new one.
3. Open Threads should be posted in Discussion, and not Main.
4. Open Threads should start on Monday, and end on Sunday.
Why? I thought the way Lumifer expressed it in terms of Bayesian hierarchical models was pretty coherent. It might be turtles all the way down as he says, and it might be hard to use it in a rigorous mathematical way, but at least it's coherent. (And useful, in my experience.)
This is pretty much what I meant in my original post by writing:
But expressing it in terms of how likely my beliefs are to change given more evidence is probably better. Or to say it in yet another way: how strong new evidence would need to be for me to change my estimate.
It seems like the scheme I've been proposing here is not a common one. So how do people usually express the obvious difference between a probability estimate of 50% for a coin flip (unlikely to change with more evidence) vs. a probability estimate of 50% for AI being developed by 2050 (very likely to change with more evidence)?