Weighing mainstream and alternative accounts…
Two lenses on the same evidence. Source weight and the primary source ratio show what each rests on.
Deeper threads worth pulling on next.
Investigated
Image: annualreviews.org
A proxy measure is an observable indicator used in place of the outcome that ultimately matters, often because it is faster, cheaper, or easier to measure. A true outcome—also called a final, clinical, or patient-important outcome—directly reflects the effect or condition of interest. Proxies can be useful, but changes in them do not automatically imply changes in the true outcome.
Two lenses on the same evidence. Source weight and the primary source ratio show what each rests on.
Lens adapted to this topic: Critical cases against treating proxies as outcomes
The critical perspective emphasizes that measurement precision is not the same as validity. A proxy can omit important dimensions of the underlying construct, distort causal estimates, or become detached from the goal when people optimize the metric itself. This view does not reject proxies outright; it argues that researchers and decision-makers should test the proxy–outcome relationship, examine sensitivity to measurement quality, and avoid treating correlation as equivalence.
Deeper threads worth pulling on next.