Nnebe v. Daus

District Court, S.D. New York·Decided October 18, 2023·No. 1:06-cv-04991·Unknown

Opinion

UNITED STATES DISTRICT COURT SOUTHERN DISTRICT OF NEW YORK

JONATHAN NNEBE, et al.,

Plaintiffs, No. 06-cv-4991 (RJS) -v- ORDER MATTHEW DAUS, et al.,

Defendants.

RICHARD J. SULLIVAN, Circuit Judge: Before the Court is Defendants’ motion in limine to preclude Plaintiffs’ experts – Michael Rempel and Melissa S. Ader – from testifying pursuant to Federal Rule of Evidence 702. (Doc. No. 610 (“Defs.’ MIL”)). For the reasons stated below, Defendants’ motion is GRANTED. To offer expert testimony under Rule 702, a witness must be “qualified as an expert by knowledge, skill, experience, training, or education.” Fed. R. Evid. 702. Even then, the expert’s opinion may be admitted only if it (1) “help[s] the trier of fact to understand the evidence or to determine a fact in issue,” (2) “is based on sufficient facts or data,” (3) “is the product of reliable principles and methods,” and (4) reflects a reliable application of “the principles and methods to the facts of the case.” Id. “Thus, in assessing admissibility, the trial court must determine whether the proffered expert testimony is relevant, i.e., whether it ‘has any tendency to make the existence of any fact that is of consequence to the determination of the action more probable or less probable than it would be without the evidence,’ and whether the proffered testimony has a sufficiently ‘reliable foundation’ to permit it to be considered.” Campbell ex rel. Campbell v. Metro. Prop. & Cas. Ins. Co., 239 F.3d 179, 184 (2d Cir. 2001) (alterations omitted) (quoting Daubert v. Merrell Dow Pharms., Inc., 509 U.S. 579, 587 (1993)). Plaintiffs’ first expert, Michael Rempel, is a criminologist and university professor who has researched and developed risk-assessment tools – typically used in connection with bail and parole proceedings – that “aid judges and other decision-makers in understanding the likelihood that someone charged with a crime will re-offend.” (Doc. No. 606-1 (“Rempel Report”) at 3–5.)

Rempel seeks to opine that taxi drivers as a group pose an “overwhelmingly low risk” of reoffending after they are arrested. (Rempel Report at 2.) According to Rempel, this conclusion is supported by studies in New York and elsewhere, which show that (1) the “nature and severity” of an individual’s charge has only a “weak relationship” to recidivism, (2) individuals with multiple recent convictions have the highest likelihood of reoffending, (3) individuals under twenty-five years of age are far more likely to reoffend than individuals older than twenty-five, and (4) persons who are unemployed are more likely to reoffend than those who have jobs. (Rempel Report at 5–6, 8.) But Rempel’s opinion about the likelihood of recidivism among taxi drivers as a group is not relevant and will not “help the trier of fact to understand the evidence or to determine a fact in

issue.” Fed. R. Evid. 702(a). In this trial, the jury will determine (among other things) (1) whether each of the twenty individual drivers would have requested a hearing before the New York Office of Administrative Trials and Hearings (“OATH”), and whether each of those drivers would have persuaded an OATH ALJ that he was not a danger, thereby securing reinstatement of his license. Given those facts in issue, Rempel’s opinion about the risk posed by drivers generally can be relevant only if OATH ALJs would have based their individual reinstatement decisions on factors such as those identified in Rempel’s report. Indeed, if OATH ALJs would not have relied on empirical data like Rempel’s in their decisions, then Rempel’s opinion could not help the jury determine whether an OATH ALJ would have reinstated any of the twenty drivers’ licenses. And on that front, nothing suggests that OATH ALJs would have employed anything like Rempel’s empirical analysis. For starters, neither Rempel nor Plaintiffs have shown that OATH ALJs routinely use risk-assessment tools or “empirically based factors” like the ones relied on by Rempel to make licensing decisions. (See Rempel Report at 1.) And while Plaintiffs contend that

“nothing in OATH’s rules” would “preclude[]” a driver from “presenting statistical or generalized evidence” of this sort (Doc. No. 615 (“Pls.’ Opp. to MIL”) at 4), that is not the same as showing that ALJs actually do – or at least would – factor such evidence into their decisions.1 The closest Plaintiffs come to bridging that gap is Rempel’s unsubstantiated conclusion that, because drivers are now prevailing before OATH at higher rates than under the old regime, it must mean that “empirical data and present [OATH] decision-making tendencies are converging.” (Rempel Report at 3.) But Rempel offers no evidence to suggest that this “converg[ence]” is because OATH ALJs are now looking to empirical data. Tellingly, while Rempel says that he reviewed the last twenty OATH decisions, he does not point to a single decision in which the ALJ relied on those statistics. Moreover, Rempel fails to explain how such a small and unrepresentative

sample size – consisting of only the twenty most recent decisions rather than a random sampling of decisions since OATH adopted the new protocols in 2019 – could constitute “sufficient facts or data” on which an expert can form an opinion under Rule 702. See Chen-Oster v. Goldman, Sachs & Co., 114 F. Supp. 3d 110, 124 (S.D.N.Y. 2015) (excluding expert opinion as unreliable because the “sample size” was “too small” and potentially “subject to bias”). Rempel’s opinion is even less relevant because he fails to tailor his analysis to the twenty individual drivers who are the subject of the upcoming trial. Generally, when a party seeks to

1 For the same reason, Rempel’s report and testimony would not “assist the jury [in] understand[ing] the evidence,” (Pls.’ Opp. to MIL at 9), since the jury does not need to know the empirical statistics on an individual’s likelihood of recidivism where there is no indication that OATH ALJs rely on (or would have relied on) such data. prove his individual case through evidence about what happened to other persons, that evidence will be relevant only if those other persons are “similarly situated” to the proponent. When seeking to prove selective prosecution, for instance, a defendant must offer statistics about “similarly situated defendants” charged with similar crimes, rather than “raw statistics regarding overall

charges.” United States v. Bass, 536 U.S. 862, 864 (2002). Likewise, plaintiffs can show employment discrimination by showing how “similarly situated” employees were treated. E.E.O.C. v. Bloomberg L.P., No. 07-cv-8383, 2010 WL 3466370, at *12 (S.D.N.Y. Aug. 31, 2010) (excluding expert’s statistical report “because he did not compare class members to other similarly situated employees”); see also Tyson Foods, Inc. v. Bouaphakeo, 577 U.S. 442, 458 (2016) (citing Wal-Mart Stores, Inc. v. Dukes, 564 U.S. 338 (2011)) (explaining that plaintiffs could not rely on evidence about how “other employees were discriminated against” unless those employees were “similarly situated” to plaintiffs).

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