TL;DR
* GOAL 3 is a social enterprise that created IMPALA, a patient monitoring and digital platform system for low-resource settings. There is also a GOAL 3 foundation that raises funds to ensure underserved communities will be reached.
* A recently completed report from Rethink Priorities calculated IMPALA to have a cost per DALY averted of $7–17 in paediatr...
This month effective altruism has gotten lots of attention, including a cover story in The Economist. It feels pretty surreal to be on the receiving end of it. But I feel grateful these ideas have caught on, and even more grateful for the drive, earnestness, and compassion of so many people who took strange but well-argued ideas seriously and then actually acted on them....
Note: This post was crossposted from the Coefficient Giving Farm Animal Welfare Research Newsletter by the Forum team, with the author's permission. The author may not see or respond to comments on this post.
Subtitle: On vegan advocacy, effective altruism, and FIFA
I turn 40 today. Here are some hot takes.
On factory farming
1. Our biggest challenge is salience. If factory farming led the evening news, it wouldn’t last lo...
This is too tangential from the forecasting discussion to justify being a comment there so I'm putting it here:
Forecasting makes no sense as a cause area, because cause areas are problems, something like "people lack resources/basic healthcare/etc.", "we might be building superintelligent AI and we have no idea what we're doing". Forecasting is more like a tool. People use forecasting to address AI, global poverty, and all sorts of more general problems, including ones that aren't major EA focuses.
For instance, we could treat vaccines as a cause area. All the funding to some AI-x-biosecurity people, GAVI campaigns for existing vaccines, and people working on bird flu vaccines could be treated like they're doing the same thing. And then we could argue about whether vaccines meet the funding bar. But that would be a pretty pointless argument, when really all those projects are trying to do different things with similar tools.
So I'd rather judge the AI forecasting by AI standards, the general-purpose forecasting by metascience standards, and the global development forecasting by global development standards, rather than trying to lump them in as a single entity. That being said, I do side with the view that there's too much money and enthusiasm being spent on forecasting, but it's a weakly held view, and that doesn't mean that every forecasting project isn't worth being funded, or even that they're all equally inflated.