80,000 Hours Podcast

#41 - David Roodman on incarceration, geomagnetic storms, & becoming a world-class researcher

Aug 28, 2018
David Roodman, a meticulous empirical researcher known for in-depth analyses of incarceration, geomagnetic storms, deworming, and microfinance. He discusses whether imprisoning more people reduces crime, how solar storms threaten power grids and transformers, and the challenges of reconstructing historical and randomized studies. Short, sharp conversations on replication, coding, and choosing high-impact research topics.
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INSIGHT

Solar Storm Risk Often Overestimated By Poor Extrapolation

  • For geomagnetic storms Roodman found popular risk estimates overstated due to poor extrapolation; modern data suggest a Carrington-sized event is unlikely more than ~0–4% per decade.
  • He fitted tail distributions (generalized Pareto) to post-1957 observatory indices rather than assuming a fat-tailed power law.
ADVICE

Model Extremes With Generalized Pareto Tails

  • When estimating rare-event probabilities, model the tail with the generalized Pareto family instead of arbitrarily assuming a power law.
  • Fit the rightmost observations (e.g., top 1–10%) and extrapolate conservatively using theory-backed tail forms.
ANECDOTE

Kenya Deworming Trial Withstood Deep Replication Scrutiny

  • Roodman extensively reanalyzed long-term deworming evidence and couldn't overturn Miguel and Kremer's Kenya randomized experiment, which remains core to GiveWell's cost-effectiveness.
  • He checked balance using external variables (school locations, elevations) and found no decisive imbalance to invalidate the original trial.
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