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Koshu Kunii's avatar

Hi Jack, very interesting post- It's a great one to kick start so many thoughts and convos.

One of them may be the metric beyond cost-effectiveness. Some questions:

- With tens of billions, we may have a non-zero chance to finally put an end for some of the diseases for example. Then how do we weigh an extra $10bn to end malaria, for example, over a higher cost-effective project of another uneradicable disease?

- Or, there are certain leverage points in humanity that cannot be simply compared linearly - for example, if we can cure aging as a disease, why work on aging-led diseases, even at higher cost-effectiveness?

- Then, there's time. How do we allocate impact today vs tomorrow? Donations to be spent all today vs donations to be invested for smaller spend in the future but perpetually?

Very much looking forward to your future posts, perhaps covering any of the above :)

Frost's avatar

Hi Jack,

I've been repeatedly coming back to this article for the past month, have formulated more thoughts over time and was wondering to hear what you think about these points:

1. You slightly touched on this, but should we allocate a small fixed percentage to causes that are hard to quantify? Where sectors like 'justice, racial justice, the arts, democracy protection, abortion access and so on' have actually got a dedication to them that is a percentage of what would go to the direct bets, based on EA research, and accounts for the unknown unknown that cant have a metric directly attached, a bit like how hedge funds have crowded trades so a 5% hedge or something.

2. What point does funding an already resourced charity, that is optimised along our metrics, yield lower marginal returns than funding a less measurable organisation in the same cause area? Is there any empirical work on this crossover point, or are we just assuming the current allocation is optimal because it’s measurable?

3. Do you think we have monocultured into AI evaluation, biorisk and our own other definitions of welfare, too quickly? My fear is that our convergence reflects shared priors and social dynamics as much as it does epistemic progress. What branches do you think will be the best way to mitigate this, and do we currently run any parallel eval frameworks to stress test the current consensus?

All of your articles have been great so far! Thanks

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