How to read imperfect AI-job-impact studies: update Bayesian-style as signals pile up
danielrock · x · 2026-09-21
Researchers discuss how to interpret studies on AI hurting early-career workers. Alex Olegimas argues no paper has gold-standard methodology, so read them Bayesian-style: if six papers from different angles show the same thing, you should update. Daniel Rock agrees, noting academic causality norms shape the hedged wording — it's enough to say exposed early-career workers are having a tougher time, causality unclear, and wait for better evidence.
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