I’d like to see more forecasting skills/literacy ‘in the water’ of the EA community, in the same way statistical literacy is commonplace. A lot of EA is about making the world go better, and so a lot of (implicit) forecasting is done when deciding what to do. I’d generally recommend most people consider things like opening a Metaculus account, reading superforecasting, etc.
This doesn’t mean everyone should be spending (e.g.) 3 hours a day on this, given the usual story about opportunity costs. But I think (per the question topic) there’s also a benefit of a few people highly developing this skill (again, a bit like stats: it’s generally harder to design and conduct statistical analysis than to critique one already done, but you’d want some folks in EA who can do the former).
A bit of both:
I’d like to see more forecasting skills/literacy ‘in the water’ of the EA community, in the same way statistical literacy is commonplace. A lot of EA is about making the world go better, and so a lot of (implicit) forecasting is done when deciding what to do. I’d generally recommend most people consider things like opening a Metaculus account, reading superforecasting, etc.
This doesn’t mean everyone should be spending (e.g.) 3 hours a day on this, given the usual story about opportunity costs. But I think (per the question topic) there’s also a benefit of a few people highly developing this skill (again, a bit like stats: it’s generally harder to design and conduct statistical analysis than to critique one already done, but you’d want some folks in EA who can do the former).