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Oxford Journal of Legal Studies
Article . 2019 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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SSRN Electronic Journal
Article . 2018 . Peer-reviewed
Data sources: Crossref
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Strained Interpretations

Authors: Adam Perry;

Strained Interpretations

Abstract

Judges often give statutes strained interpretations. What makes an interpretation strained? What, if anything, justifies a strained interpretation? Is there always a point past which an interpretation would be too strained, or are there some interpretations which judges are entitled to adopt, whatever a statute says? I claim to answer all of these questions. Using the formula about conditional probability known as Bayes’ theorem, I offer a precise definition of a strained interpretation, and identify two reasons for strained interpretations. I claim that the case for strained interpretations is often stronger than is realised, and illustrate that claim with a novel defence of the House of Lords’ decision in Anisminic Ltd v Foreign Compensation Commission. Finally, I suggest that even if a legislature is sovereign, there may be meanings which a legislature is unable to enact into law. Thus, there may be limits on even a sovereign legislature’s powers.

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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!
0
Average
Average
Average
Green
hybrid
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Fields of Science
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