I agree to your general analysis. Just some quick thoughts (if you have other ideas, I’d be excited to hear them!) For us at ACTRA, communicating our benefits in terms of x times cash has been very helpful, because we do not have the typical “one outcome measure makes up for 80% of the effect” situation: Crime reduction leads to reduced interpersonal violence like homicides (DALYs), averts economic damage ($) and has wellbeing benefits (WELLBYs). Our current analysis suggests, that each of those three is about 1⁄3 of our total effect. So having something, where we cann sum these benefits up and then compare to other charities that might focus on only one of these is very helpful for us. If we want to keep using cash estimates I see us either 1) incorporating best guesses for our spillover effects etc. in our CEA based on the scientific literature available, discounting them somewhat but not too heavily, to be comparable to the Give Directly estimate 2) Consciously deciding not to include spillover effects etc. and then comparing “apples to apples”. So if there was a simple table saying “this is the direct Give Directly effect, this is the additional spillover effect and this is X, Y, and Z”, then we can basically produce the same table for our charity with some fields saying n/a and that would make it comparable somehow…
I agree to your general analysis. Just some quick thoughts (if you have other ideas, I’d be excited to hear them!)
For us at ACTRA, communicating our benefits in terms of x times cash has been very helpful, because we do not have the typical “one outcome measure makes up for 80% of the effect” situation: Crime reduction leads to reduced interpersonal violence like homicides (DALYs), averts economic damage ($) and has wellbeing benefits (WELLBYs). Our current analysis suggests, that each of those three is about 1⁄3 of our total effect. So having something, where we cann sum these benefits up and then compare to other charities that might focus on only one of these is very helpful for us.
If we want to keep using cash estimates I see us either
1) incorporating best guesses for our spillover effects etc. in our CEA based on the scientific literature available, discounting them somewhat but not too heavily, to be comparable to the Give Directly estimate
2) Consciously deciding not to include spillover effects etc. and then comparing “apples to apples”. So if there was a simple table saying “this is the direct Give Directly effect, this is the additional spillover effect and this is X, Y, and Z”, then we can basically produce the same table for our charity with some fields saying n/a and that would make it comparable somehow…