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The Perils of Relying on Interested Parties to Evaluate Scientific Quality

Authors: Wendy, Wagner;

The Perils of Relying on Interested Parties to Evaluate Scientific Quality

Abstract

Recently, there has been a trend in both civil litigation and regulatory law to circumvent the scientific community’s collective judgment on the quality of individual studies with an adversarial process of evaluating scientific quality using interest groups. The Supreme Court’s Daubert v Merrell Dow Pharmaceuticals, Inc opinion and two recent “good science” laws passed by Congress adopt an adversarial process informed by affected parties for reviewing and screening scientific quality. These developments are unwise. Both theory and experience instruct that an adversarial, interest group–dominated approach to evaluating scientific quality will lead to the unproductive deconstruction of science, further blur the distinction between policy and scientific judgments, and result in poor decisions because the courts and agencies that preside over these “good science” contests sometimes lack the scientific competency needed to make sound decisions.

Keywords

Drug Industry, Judicial Role, Science, Politics, Liability, Legal, Public Policy, United States, Government Regulation, Humans, Public Health, Expert Testimony, Supreme Court Decisions

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    Average
    influence
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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!
21
Average
Top 10%
Top 10%
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