Need is everywhere. Make decisions based on potential.
We didn’t look for it, and we sure don’t condone how it happened, but the era of Big Aid is over. We always knew governments had to be the doers at scale. Now it’s clear they have to be the payers too. Scale-obsessed as ever, we’re thinking about this new world in three ways: what you do, where you do it, and how you go about it. Kevin’s latest in SSIR looks for glimmers of optimism post-debacle. https://ssir.org/articles/entry/big-aid-is-over
If you liked Kevin’s “Big Aid is Over” piece, this conversation goes deeper and doesn’t pull any punches. Kevin and Raj from Devex get into:
They covered a lot of ground, and it’s weirdly hopeful. Perfect to listen to while bathing your cat or otherwise avoiding your email.
https://www.youtube.com/watch?v=zNQekqQeR6o&ab_channel=Devex
Jennifer Schechter, Emily Bensen, and N'Toumbi Tiguida Sissoko at Integrate Health capture the spirit and methods of true government partnership. Their deceptively simple methodology—“Chunk it. Cost it. Test it”—is practical gold for any NGO who wants government to be the doer-at-scale.
https://ssir.org/articles/entry/ngos-government-partnership-models-scaling#
Taken from “Emigration from Africa will change the world”
Rachel Glennerster and Siddhartha Haria argue that remaining Big Aid dollars should target fewer, simpler, highly cost-effective interventions, at large scale, in fewer countries—and pay a lot more attention to outcomes. It’s good advice for philanthropy, too.
We’re way more comfortable taking a risk on an organization that is constantly iterating—experimenting to get better. The Agency Fund is doing awesome work on “the learning organization.” This piece is on A/B testing, something that is hugely important in tech but remains rare among NGOs and government programs. This piece and video highlights how Rocket Learning uses lean, rapid experiments to test their model. It demystifies how to actually do A/B testing in the social sector. Every organization needs to be doing this stuff.
https://theagencyfund.substack.com/p/ab-testing-for-the-social-sector
We hope the above article left you stoked about the potential of A/B testing. Good. IDInsight wants to make sure you get the most of your new-found enthusiasm and avoid all-too-common mistakes.
https://www.idinsight.org/article/planning-to-conduct-a-b-tests-on-your-social-sector-program/
You’re using AI. Everybody is using AI. Increasingly, it isn't about the best model, it is about the best overall system for most people. This is the most useful guide we’ve read on how to pick between the top 3.
https://www.oneusefulthing.org/p/using-ai-right-now-a-quick-guide
While "lifetime expected consumption potential" doesn’t roll off the tongue as easily as “$2 dollars per day”, it does a better job of highlighting the enormous gap between rich and poor globally. H/T Global Prosperity Institute
Andreessen: “Technological innovation in a market system is inherently philanthropic, by a 50:1 ratio. Who gets more value from a new technology, the single company that makes it, or the millions or billions of people who use it to improve their lives? QED.”
Gates: “When a kid gets diarrhea, there’s no website that relieves that.”
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