Jason Zweig tells the story of randomistas, who use randomized, controlled trials to pinpoint what helps people become self-sufficient around the globe. The Anti-Poverty Experiment describes several successful, data-driven programs, ranging from financial counseling to grants of livestock.

Can an early childhood program prevent child abuse and neglect? Yes, says the Nurse-Family Partnership, which introduces vulnerable first-time parents to maternal and child-health nurses. NFP (@NFP_nursefamily) refines its methodology with randomized, controlled trial evidence satisfying the Coalition for Evidence-Based Policy’s “Top Tier”, and producing a positive return on investment.

Do recommendations from decision support technology improve the appropriateness of a physician's imaging orders? Not necessarily. JAMA provides evidence of the limitations of algorithmic medicine. An observational study shows it's difficult to attribute improvements to clinical decision support.

Is the "data-driven decision" a fallacy? Yes, says Stefan Conrady, arguing that the good alliteration is a bad motto. He explains on the BayesiaLab blog that the concept doesn't adequately encompass casual models, necessary for anticipating "the consequences of actions we have not yet taken". Good point.

A BMJ analysis says the knowledge system underpinning healthcare is not fit for purpose and must change. Ian Roberts says poor-quality, published studies are damaging systematic reviews, and that the Cochrane system needs improvement. Richard Lehman and others will soon respond on BMJ.

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