Regarding the question about the preferred resource allocation over the next five years, I would like to see someone take a stab at estimating the current allocation of resources over the same categories. My guess is that many of the cause areas are far from these numbers and it would imply a huge shift from status quo to increase or decrease the number of people and/or money going to each cause area.
The 3.5% allocation to wild animal welfare, for example, is 35 of the most engaged EAs contributing to the cause area and the money that goes with it. Or more people and less money if we trade off the resources against each other. Currently Wild Animal Initiative, the most significant EA actor in the field, employs eight people according a document on their website, most of them part-time. Going from here to 35 people would mean large investments and need of management, coordination and operations capacity. Especially if we should interpret it to mean 35 people on average over the next five years, given the position we’re starting at.
I believe similar examples could be made from biosecurity (90 people and 9% of funding) or AI in shorter-timeline scenarios (180 people and 18% of funding). I guess that meta EA, global health and development and maybe farmed animal welfare are the categories that would need to scale back funding and people involved to reach these allocation targets.
Aaron commented that the respondents answered quickly to the survey questions, and this particular question even asks for a “rough” percentage of resource allocation. This might suggest that we shouldn’t look too much at the exact average numbers, but only note the order of cause areas from most to least resources allocated.
Another possibility is that the respondents answered the questions based on the assumption that one could disregard all practical issues of how to get from status quo to this preferred allocation of resources. If so, I think it would be helpful to state this clearly with the question so that all respondents and readers have this in mind.
It depends on what you count as “direct”. But if you consider all employees of GiveWell-supported charities, for example, I think you’d get to 1000. You can get to 100 just by adding up employees and full-time contractors at CEA, 80K, Open Phil, and GiveWell. CHAI, a single research organization, currently has 42 people listed on its “people” page, and while many are professors or graduate students who aren’t working “full-time” on CHAI, I’d guess that this still represents 25-30 person-years per year of work on AI matters.
Regarding the question about the preferred resource allocation over the next five years, I would like to see someone take a stab at estimating the current allocation of resources over the same categories. My guess is that many of the cause areas are far from these numbers and it would imply a huge shift from status quo to increase or decrease the number of people and/or money going to each cause area.
The 3.5% allocation to wild animal welfare, for example, is 35 of the most engaged EAs contributing to the cause area and the money that goes with it. Or more people and less money if we trade off the resources against each other. Currently Wild Animal Initiative, the most significant EA actor in the field, employs eight people according a document on their website, most of them part-time. Going from here to 35 people would mean large investments and need of management, coordination and operations capacity. Especially if we should interpret it to mean 35 people on average over the next five years, given the position we’re starting at.
I believe similar examples could be made from biosecurity (90 people and 9% of funding) or AI in shorter-timeline scenarios (180 people and 18% of funding). I guess that meta EA, global health and development and maybe farmed animal welfare are the categories that would need to scale back funding and people involved to reach these allocation targets.
Aaron commented that the respondents answered quickly to the survey questions, and this particular question even asks for a “rough” percentage of resource allocation. This might suggest that we shouldn’t look too much at the exact average numbers, but only note the order of cause areas from most to least resources allocated.
Another possibility is that the respondents answered the questions based on the assumption that one could disregard all practical issues of how to get from status quo to this preferred allocation of resources. If so, I think it would be helpful to state this clearly with the question so that all respondents and readers have this in mind.
You’re estimating there are ~1000 people doing direct EA work? I would have guessed around an order of magnitude less (~100-200 people).
It depends on what you count as “direct”. But if you consider all employees of GiveWell-supported charities, for example, I think you’d get to 1000. You can get to 100 just by adding up employees and full-time contractors at CEA, 80K, Open Phil, and GiveWell. CHAI, a single research organization, currently has 42 people listed on its “people” page, and while many are professors or graduate students who aren’t working “full-time” on CHAI, I’d guess that this still represents 25-30 person-years per year of work on AI matters.