Stephan Michelson, PhD
, has spent over 45 years working in the field of Statistics
, analyzing complex legal issues, from developing data, to analysis, to presentation as an expert witness.
President of Longbranch Research Associates (LRA), Dr. Michelson is responsible for staff and facilities administration and quality of product output. He is also the director of litigation analyses and research projects. He spent many years serving on the faculty at Reed, Harvard, the Brookings Institution, and the Urban Institute.
- Dr. Michelson specializes in Statistical Analysis in Litigation
. He and his team at Longbranch have worked for private attorneys and public attorneys in hundreds of cases, but their recent clientele consists only of public attorneys, state’s attorneys, and U.S. attorneys. This is because their policy is to pursue truth, independent of their client’s position.
LRA is successful because they find the best statistical approximation to real world events, and can determine, within that model, if biased decisions are being made. They have found data when attorneys thought none existed. They pay attention to legal literature cases and law review articles, as well as to statistics literature. LRA understands the institutions involved in a case, so that their models are relevant, understandable, and correct. Their analyses speaks to judges, because they speak to the issues the judge has to decide upon.
Methodologically sophisticated, Dr. Michelson specializes in complex legal cases, presenting methods and results honestly and clearly, with graphics to represent his data. He derives fact from data, and sometimes derives the data itself. See Connecticut v. Gibbs (state court), Rhode Island v. Tremblay (state court), Koger v. Reno (federal court), Coker v. Charleston School District (federal court), etc. Dr. Michelson has testified across the United States, in the state of Washington, Georgia, New Hampshire, and many others.
Within the field of statistics in law, Dr. Michelson has special expertise and interest in certain subjects, including:
- Class Certification: Fulfilling the requirements, especially after Dukes v. Walmart
- Daubert and its Progeny: How should a judge determine who is an expert?
- Discrimination - Administrative law, federal law, and state law, regarding many areas of employment, jury selection, and criminal penalty
The economist who wants to work on legal questions needs to know something about law, but he does not need a J.D. Analysis of jury selection, from which some identifiable group of the population allegedly has been excluded, has historically established the statistical approach to discrimination in selection of all kinds. The leading article by Michael Finkelstein, to which analysts still today pay homage, was published in 1966, providing the basis for the Supreme Court's 1977 finding of jury discrimination in Castaneda.