James Greathouse writes on civilizational resilience, structural-demographic theory, and the infrastructure required to navigate what's coming.
Formerly writing as Kai Mohala.
I've watched the gap between philanthropic ambition and community reality from both sides.
Working on field-building infrastructure for AI-era economic displacement and community resilience. Happy to talk with anyone thinking seriously about absorptive capacity, managed transition, or vocational dignity as a design constraint.
Thinking through field-building infrastructure, fiscal sponsorship, or community resilience design — happy to compare notes.
The variance framework clarifies a lot. The harder part may sit inside the "bounded downside" category itself.
Global health interventions look convex partly because the downside appears measurable and contained. But "unlikely to cause harm" and "bounded downside" often get conflated in ways that deserve more scrutiny. An intervention with weak evidence, scaled substantially, can produce harm that only surfaces in aggregate — substitution effects crowding out stronger alternatives, institutional credibility consumed on interventions that underperform, donor attention patterns that persist beyond the evidence. None of those show up as direct harm in a single-program evaluation.
The distribution may look bounded from inside one intervention and fat-tailed from the portfolio level. That asymmetry seems worth naming before treating global health as the safe side of the variance line.