Definition "Math on Trial" refers primarily to the 2013 book Math on Trial: How Numbers Get Used and Abused in the Courtroom by Leila Schneps and Coralie Colmez. The term, derived from the book's title, encapsulates the critical examination of how mathematical concepts, particularly statistics and probability, are applied—and often misapplied—within legal proceedings and courtrooms globally.
Overview The book "Math on Trial" investigates instances where mathematical errors, misunderstandings, or deliberate misinterpretations of data have significantly influenced legal outcomes, potentially leading to miscarriages of justice, including wrongful convictions. It aims to demonstrate the profound impact of statistical literacy (or lack thereof) on the fairness and accuracy of legal decisions. Through numerous historical and contemporary case studies from various jurisdictions, the authors explain complex mathematical principles in an accessible manner, highlighting common fallacies such as the prosecutor's fallacy and the defense attorney's fallacy, and illustrating the limitations and proper use of forensic evidence.
Etymology/Origin The term originates directly from the title of the aforementioned book, Math on Trial: How Numbers Get Used and Abused in the Courtroom, first published by Basic Books in 2013. The title metaphorically positions mathematics itself as being "on trial" within the legal system, suggesting a scrutiny of its validity, application, and the consequences of its misuse in the pursuit of justice.
Characteristics The core characteristics of the subject matter explored by "Math on Trial" include:
- Focus on Legal Context: Centered on the application and misapplication of mathematical concepts specifically within legal and judicial settings.
- Case-Study Driven: Utilizes real-world legal cases, often high-profile criminal trials, to illustrate how statistical evidence has been presented, interpreted, and sometimes misused.
- Identification of Fallacies: Explores common statistical and probabilistic fallacies that can mislead jurors, judges, and legal professionals, such as the prosecutor's fallacy, the defense attorney's fallacy, and the base rate fallacy.
- Interdisciplinary Approach: Integrates insights from mathematics, statistics, law, criminology, and forensic science to provide a comprehensive analysis.
- Advocacy for Education: Emphasizes the critical need for greater mathematical and statistical literacy among all participants in the legal system, from investigators and expert witnesses to lawyers, judges, and jurors.
Related Topics
- Forensic statistics
- Probability theory
- Prosecutor's fallacy
- Statistical evidence
- Wrongful conviction
- Bayesian inference
- DNA evidence
- Expert testimony
- Legal ethics
- Miscarriage of justice