A preliminary estimate, and a request for better ones.
Summary
I believe the standard literature estimates for the number of DALYs attributable to a case of stunting are too low, largely because they don’t account for the long term effects. This means that childhood nutritional interventions that reduce the prevalence of stunting may be substantially more cost-effective than previously believed.
Epistemic status
Exploratory and back-o...
Note: This post was crossposted from Planned Obsolescence by the Forum team, with the author's permission. The author may not see or respond to comments on this post.
Subtitle: It’s a major warning shot, and might be the last one we get
All opinions are my personal view, and don’t represent my employer or fellow investigators.
This week, METR and Redwood Research published...
Overview
This post summarizes a new preprint on alternative proteins from the Humane and Sustainable Food Lab: New alternatives, same orders. We investigated 19...
Would it be possible to know a breakdown of the grants by geography and outcome type?
We are still working on the map visualizing grant recipient locations but hope to have it published online within the next few weeks. As for the outcome types, does this bar chart illustrate what you're looking for?
Note that some of the 49 grants fall under more than one outcome. We have more info about how we define these outcomes here.
Hi Erika, thanks for you reponse. I did see this graph, but the map is what I'd be interested in, and specifically looking at the distribution of outcome type(s) by geography.
Thanks for clarifying, I had a feeling that is what you meant. I will let you know when the map is published :)
Here is a link to the webpage with the map embed. You can also view it directly via this Data Studio dashboard. We weren't able to parse the outcome types by geographic location, but we are looking at other software we can use. For now, at least, you can see the grant amounts by geographic location. I will keep you posted.