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Paul has said quite a bit about this previously:
Interview 1
Interview 2
Talk, given to EA Melbourne
I believe you’re doing this upside down. You should be calculating lives saved per dollar, not dollars per life saved, so your weighted average is
0.9*(1/$3000) + 0.1*(1/$30) = 0.003633 --> $275
per life saved, making the information worth ~$2.4M. So you’re overpaying the data scientist by an order of magnitude.Also, it would be nice if your footnotes were hyperlinks.
I’m interested as to different people’s views on whether they can beat the wisdom of the EA crowds on this.* Those who think they can’t might theoretically want to give to a portfolio of charities based on a particular crowd’s pick. We’ve been talking about collaborating with Michael Page to make something like this happen, though my purely personal estimate is that it won’t happen any time soon, and I’m not sure how many people would donate to certain sorts of portfolios—that’d also be interesting to hear!
I think the wisdom of EA crowds is kind of hard to estimate, as we don’t have a true and definitive evaluation of the actual value of the investments in a portfolio. Moreover, a complicating factor is that people frequently donate based on what they personally value, and have different trade-offs (for example, the value of a current human life vs. current animal life vs. future human/animal life).
I might give to a portfolio in a particular cause area like meta. I’d only be giving a small portion of my pledge to that though, perhaps about £100 a month—would that even be worth it for the admin hassle for you?
Probably not! We plan to use an off-the-shelf service from somewhere like Vanguard in the US or the UK’s Charities Aid Foundation if we do this at all, but even so.
(*For my part, I’m unsure of my credence that I can, but if forced to pick one I’d put it at below 50%, though that’s for various reasons which are quite idiosyncratic to me.)