mike Reid, PEPFAR's former Chief Science Officer, thinks that paying taxes would be more effective at improving global health outcomes than private philanthropy:
I recently interviewed mike Reid, the former Chief Science Office of PEPFAR. One of the most important things I learned, in light of the current discourse on the impacts of USAID cuts: at least for AIDS, the worst impacts are probably yet to come
A year after USAID lost its funding, what happened to PEPFAR, the global health program it supported that prevented millions from dying of HIV and AIDS?
We spoke to mike Reid, who served as its Chief Science Officer and resigned this April – who thinks that the biggest impacts
RCTs are considered the gold standard of evidence, but observational data is often overlooked and undervalued. Observational methods can help us make use of large data sets, such as when the French mathematician Pierre-Simon Laplace used birth records to detect differences in
What is it like to believe the world will end in 5 years? @ozyfrantz investigates and discovers that the doomers are, for the most part, doing all right.
Most people believe that war is inevitable. The development sector treats war similarly to natural disasters, where the goal is to build resilience against future catastrophes – but it’s assumed that we can't actually stop it from happening.
Josh Martin argues that this
Since moving back to San Francisco last fall, I've been struck by how everyone seems to be chasing material comforts, and moral vision is in short supply. But I also think that San Francisco is just a reflection of the world a few years ahead, and that this isn't its final
People kept saying the mood in SF is bad; sadly, I did feel spiritually diseased after 20 hours there & want to keep obsessing over it. Pitch @asteriskmgzn's Flourishing issue with your solution to "all the charts are going up by no one is happy" (& ideas on beauty, virtue etc)
This from @asteriskmgzn is one of the best examples of adversarial collaborative dialogue I've seen. @ajeya_cotra and @binarybits map out why they disagree about AI timelines and what would be the early warning signs that each is wrong.
