Account

Sign in to access your account and subscription

Unreliable Methodologies Doom Neck Brace Experts

A U.S. Magistrate Judge in Indiana recently excluded the opinions of two experts because they did not meet the "reliability" criteria specified in Federal Rule of Evidence 702 and the famous <i>Daubert</i> decision. The rulings doomed the badly injured plaintiff's claim because summary judgment in favor of the defendant quickly followed.

20 minute read December 01, 2017 at 12:02 AM
By
Michael Hoenig
Unreliable Methodologies Doom Neck Brace Experts

A few months ago, a U.S. Magistrate Judge in Indiana excluded the opinions of two experts because they did not meet the “reliability” criteria for expert testimony specified in Federal Rule of Evidence 702 and the famous Daubert decision. (See Daubert v.

This premium content is locked for LawJournalNewsletters subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN LawJournalNewsletters

  • Stay current on the latest information, rulings, regulations, and trends
  • Includes practical, must-have information on copyrights, royalties, AI, and more
  • Tap into expert guidance from top entertainment lawyers and experts

Already have an account? Sign In Now

For enterprise-wide or corporate access, please contact Customer Service at [email protected] or call 1-877-256-2473.

NOT FOR REPRINT

© 2026 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.

Continue Reading

Adverse Possessor Provided Insufficient Evidence to Support TackingTown’s Installation of Guardrails Did Not Constitute a TakingMortgagee Entitled to Deficiency JudgmentLandowner Adequately Alleged Trespass During Renovation

August 13, 2026

Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.

August 01, 2026