This is very specifically attempting to compile some existing analysis on whether it’s better to eat chicken or beef, incorporating ethical and environmental costs, and assuming you choose to offset both harms through donations.
In the future, I would like to aggregate more analysis into a single model, including the one you link.
As I understand it (this might be wrong), what we have currently is a much of floating analyses, each mostly focused on the cost-effectiveness of a specific intervention. Donors can then compare those analyses and make a judgement about where best to give their money.
Where the Give Well style monolithic CEA succeed is in ensuring that a similar approach is used to produce analysis that is genuinely comparable, and in giving readers the opportunity to adjust subjective moral weights. That’s my ultimate goal with this project, but it will likely take some time.
This was maybe a premature release, but so far the feedback has already been useful.
Have you compared your analysis to this previous EA Forum post? Are there different takeaways? Have you done anything differently and if so, why?
This is very specifically attempting to compile some existing analysis on whether it’s better to eat chicken or beef, incorporating ethical and environmental costs, and assuming you choose to offset both harms through donations.
In the future, I would like to aggregate more analysis into a single model, including the one you link.
As I understand it (this might be wrong), what we have currently is a much of floating analyses, each mostly focused on the cost-effectiveness of a specific intervention. Donors can then compare those analyses and make a judgement about where best to give their money.
Where the Give Well style monolithic CEA succeed is in ensuring that a similar approach is used to produce analysis that is genuinely comparable, and in giving readers the opportunity to adjust subjective moral weights. That’s my ultimate goal with this project, but it will likely take some time.
This was maybe a premature release, but so far the feedback has already been useful.