Quantitative storytelling
From Wikipedia, the free encyclopedia
Quantitative storytelling (QST) is a systematic approach to exploring the many frames potentially legitimate in a scientific study or controversy.[1][better source needed][2] QST assumes that, in an interconnected society, multiple frameworks and worldviews are legitimately upheld by different entities and social actors. QST looks critically at models used in evidence-based policy. Such models are often reductionist in that tractability (i.e. the possibility of proceeding towards a solution to a given problem) is achieved at the expense of suppressing available evidence.[3] QST suggests corrective approaches to this practice.
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