1 / 18

Attacking Non-Bayesian Reasoning

Attacking Non-Bayesian Reasoning. William Thompson UC Irvine February 15, 2014. Do Jurors Give More of Less Weight Than They Should to Forensic Science?. Importance to the law of evidence Claims of Underweighting

irving
Télécharger la présentation

Attacking Non-Bayesian Reasoning

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Attacking Non-Bayesian Reasoning William Thompson UC Irvine February 15, 2014

  2. Do Jurors Give More of Less Weight Than They Should to Forensic Science? • Importance to the law of evidence • Claims of Underweighting • Finkelstein & Fairley (1970) , citing Edwards (1968); Slovic & Lichtenstein (1971) • Claims of Overweighting • Tribe (1971) • Jury Simulation Studies • E.g., Schklar & Diamond (1999); Nance & Morris, (2002; 2005)

  3. Figure 1: Log Scale for Estimating Chances Defendant is Guilty ___Certain to be guilty ___About 9,999,999 chances in 10 million that he is guilty ___About 999,999 chances in 1 million that he is guilty ___About 99,999 chances in 100,000 that he is guilty ___About 9,999 chances in 10,000 that he is guilty ___About 999 chances in 1,000 that he is guilty ___About 99 chances in 100 that he is guilty ___About 9 chances in 10 that he is guilty ___One chance in 2 (fifty-fifty chance) that he is guilty ___About 1 chance in 10 that he is guilty ___About 1 chance in 100 that he is guilty ___About 1 chance in 1,000 that he is guilty ___About 1 chance in 10,000 that he is guilty ___About 1 chance in 100,000 that he is guilty ___About 1 chance in 1 million that he is guilty ___About 1 chance in 10 million that he is guilty ___Impossible that he is guilty

  4. What are the chances that an innocent man in a case like this would, just by coincidence, happen to match the DNA left by another man at the crime scene? • 1 in 10 • 1 in 100 • 1 in 1000 • 1 in 10,000 • 1 in 100,000 • 1 in 1 million • 1 in 1 billion • Zero chances--impossible

  5. Figure 5: Bayesian Network Model for Evaluating the Probative Value of the Forensic Evidence Based on Individual Perceptions of the RMP, FRP and FUP

  6. A DNA Match Between Perpetrator and Suspect: Is the suspect guilty?

  7. The DNA Expert Says:

  8. The prosecutor says:

  9. But the defense lawyer says:

  10. So what are the chances he’s guilty?

  11. How many of the matching people are plausible suspects?

  12. We don’t really know…

More Related