On LessWrong, Yair Halberstadt draws an ironic contrast. Software engineers exhaustively test even minor changes—using unit tests, staging environments, monitoring, and gradual rollouts. Yet governments deploy massive policy overhauls entirely untested. His proposal: adopt software's caution for policymaking. Randomly select a subset of affected entities—school districts, for example—to pilot the policy, monitor results, then decide whether to roll out nationally, extend testing, or roll back. Randomization isolates the policy's true impact from confounding factors. He examined ten recent UK acts of parliament and found most could be tested this way. It's a systematic framework that trades upfront complexity for a way to catch policy failures before they affect millions.

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