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Evidence Based Policy

Authors: John F. Pfaff; Christopher P. Guzelian;

Evidence Based Policy

Abstract

The American legal system has traditionally established facts through adversarial proceedings, tempered by judicial evidentiary screening. Legal observers, however, have grown increasingly discontented with this approach when dealing with scientific facts. Focusing on public law, we argue here that judges confronting empirical questions should look beyond the claims of dueling, adversarial experts to derive the answers. Scientists themselves do not use such adversarial proceedings, but rather evidence based logic (EBL), an objective method of reviewing existing empirical evidence to determine what science knows and does not know. We propose that judges should incorporate EBL into their gatekeeping functions. EBL leads to scientifically sounder judicial resolutions, discourages the misuse of scientific data, and draws more clearly the line between policy disputes that can and cannot be helped by scientific inquiry. Furthermore, judicial use of EBL respects adversarialism while providing neutral, objective assessments of scientific validity.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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