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Re-chunking the Federal Rules of Evidence

Authors: Steven Friedland;

Re-chunking the Federal Rules of Evidence

Abstract

The rules governing the admissibility of evidence can be a confounding maze of directives. To say the Federal Rules of Evidence are confusing begs the question of why the current arrangement of Articles and Rules is used. Despite multiple amendments, many organizational questions remain. For example, why is impeachment included in multiple articles in the rules, and not given its own article? Why is witness memory left to multiple areas as well? Why is hearsay parsed the way it is, where the rules designate some utterances that meet the hearsay elements as not hearsay, and other utterances as reliable hearsay, but in multiple ways? This commentary reimagines a new iteration of some of the Articles and Rules using a different organizing structure or schema. The purpose of the re-chunking is not to change substantive outcomes – although that is very tempting as well – but to allow for better understanding and application. The reconfiguration is rooted in neuroscience. According to neuroscientists, memory and recall are neither photographic nor permanent. Given these limitations, learning strategies are needed, especially given the number of rules and their organization. Chunking is a useful tool, especially when dealing with learning and applying knowledge. As one commentator has noted, “Chunking refers to the strategy of breaking down information into bite-sized pieces so the brain can more easily digest new information.” Chunking is often used to organize large amounts of information. Acquiring deep, chunked knowledge is emblematic of how learners become expert in a subject. Such expert learners use chunking to create more effective schemas or structures to facilitate learning and application. In fact, experts and novices use schemas alike throughout each day and in all areas of life. The new evidentiary schema below regroups the Articles and Rules specifically to create alignments for better affinity, memory and flow. The revisions apply to both the overall ‘forest’ and the specific ‘trees’ of Evidence Law. A deep understanding of the rules requires knowledge of the big picture as well as the details. The big picture generally is a good place to start when analyzing evidence issues. This Introduction is followed by background information about educational neuroscience and the history of the Rules of Evidence. A realignment of some of the Articles and Rules is then offered, as well as a brief conclusion.

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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
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