It's pretty much like you said in this comment and I completely agree with you and am putting it here because of how well I think you've driven home the point:
...I myself once mocked a co-worker for taking an effort to recycle when the same effort could do so much more impact for people in Africa. That's wrong in any case, but I was probably wrong in my reasoning too because of numbers.
Also, I'm afraid that some doctor will stand up during an EA presentation and say
You kids pretend to be visionaries, but in reality you don't have the slightest idea what you are talking about. Firstly, it's impossible to cure trachoma induced blindness. Secondly [...] You should go back to play in your sandboxes instead of preaching adults how to solve real world problems
Also, I'm afraid that the doctor might be partially right
Also, my experience has persistently been that the blindness vs trachoma example is quite off-putting in an "now this person who might have gotten into EA is going to avoid it" kind of way. So if we want more EAs, this example seems miserably inept at getting people into EA. I myself have stopped using the example in introductory EA talks altogether. I might be an outlier though and will start using it again if provided a good argument that it works well, but I suspect I'm not the only one that has seen better results introducing EAs by not bringing up this example at all. Now with all the uncertainty around it, it would seem that both emotions and numbers argue against the EA community using this example in introductory talks? Save it for the in-depth discussions that happen after an intro instead?
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I like the article. The first table makes it viscerally available that the VOI for better estimating eta (or for finding a better model for utility as a function of consumption on the margins) could be high, if you're relatively more interested in global poverty-focused EA than in other causes within EA.
I'm not aware of any better figures you could have used for GWWC/TLYCS/REG's leverage, and I'm not sure if many of us take estimates of leverage for meta-organizations literally, even relative to how literally we take normal EA cost-effectiveness estimates. I agree that combining the leverage estimates with the consumption multipliers in order to estimate impact would be the correct thing to do if you managed to get accurate estimates of both that weren't dependent or interdependent on each other, though!
To the extent that GWWC/TLYCS/REG count donations that they have received themselves as having a certain leverage because of the donations "caused"/influenced by GWWC/TLYCS/REG, everyone who has had their donations "caused"/influenced by GWWC/TLYCS/REG (at least according to GWWC/TLYCS/REG) should count their donations as having proportionally less than 1.0x leverage. (Alternatively, GWWC/TLYCS/REG could claim to have less leverage, and thereby allow those who they claim to have influenced to claim that they've caused a greater fraction of the impact that their own donations have caused). This prevents double-counting of impact, and gives us a more accurate estimate of how much good donations to various organizations cause, which in turn lets us figure out how we can do the most good.