Opposition Brief — Union Carbide Corporation, et al., Petitioners v. Lee Ann Sommerville
Supreme Court briefApr 6, 2026
Ask Donna
What actually matters in this document.
Text
No. 25-919
IN THE
Supreme Court of the United States
————
UNION CARBIDE CORPORATION; COVESTRO LLC,
Petitioners,
v.
LEE ANN SOMMERVILLE, individually,
and on behalf of all others similarly situated,
Respondent.
————
On Petition for a Writ of Certiorari to the
United States Court of Appeals
for the Fourth Circuit
————
BRIEF IN OPPOSITION TO
PETITION FOR CERTIORARI
————
ADAM J. GOMEZ
KELLY L. TUCKER
GRANT & EISENHOFER, P.A.
123 Justison Street
Wilmington, DE 19801
(302) 622-7000
JOSH AUTRY
Counsel of Record
MORGAN & MORGAN, PA
199 Water St
Suite 1500
New York, NY 10022
(859) 899-8785
jautry@forthepeople.com
STEPHEN EDWARDS
MORGAN & MORGAN, PA
2005 Market St
Suite 600
Philadelphia, PA 19103
(215) 446-9793
Counsel for Respondent
April 6, 2026
WILSON-EPES PRINTING CO., INC. – (202) 789-0096 – WASHINGTON, D.C. 20002
QUESTION PRESENTED
Whether this Court should intervene in a fact-bound
dispute over the admissibility of expert testimony,
where the district court’s errors would have been
reversed under the law of any circuit.
(i)
TABLE OF CONTENTS
Page
QUESTION PRESENTED ..................................
i
TABLE OF AUTHORITIES ................................
v
INTRODUCTION ................................................
1
STATEMENT OF THE CASE ............................
3
A.
Source Parameters....................................
6
B.
Historical Emissions Data ........................
7
C.
Meteorological Data ..................................
9
D.
Background EtO Levels ............................
10
E.
District Court’s Conclusion and Final
Order .........................................................
11
REASONS FOR DENYING THE PETITION ....
14
I.
II.
The District Court Would Have Been
Reversed in Any Circuit. ..........................
14
A. Unlawful Heightened Scrutiny ...........
15
B. “Validation” Requirement ...................
19
C. Improper Credibility Determinations.
20
D. Unwarranted “Scientific” Findings.....
22
E. Disregarding
Dr.
Sahu’s
Supplemental Report ..........................
23
The Fact-Bound Nature of this Case
Renders it a Poor Vehicle. ........................
24
(iii)
iv
TABLE OF CONTENTS—Continued
Page
III. The Purported Split Is Illusory Because
Every Circuit Allows for Exclusion of
Expert Opinions That Lack Record
Support or Fail to Reliably Connect Data
and Conclusions. .......................................
24
A. The Fourth Circuit ...............................
26
B. The First Circuit ..................................
29
C. Other Circuits ......................................
32
CONCLUSION ....................................................
34
v
TABLE OF AUTHORITIES
CASES
Page(s)
Acad. Bank, N.A. v. AmGuard Ins. Co.,
116 F.4th 768 (8th Cir. 2024), reh’g
denied, No. 23-1375, 2024 WL 4499662
(8th Cir. Oct. 16, 2024) .............................
33
Adams v. Ameritech Servs., Inc.,
231 F.3d 414 (7th Cir. 2000) .....................
19
Belville v. Ford Motor Co.,
919 F.3d 224 (4th Cir. 2019) .....................
28
Bower v. Westinghouse Elec. Corp.,
522 S.E.2d 424 (W. Va. 1999) ...................
4
Bresler v. Wilmington Trust Co.,
855 F.3d 178 (4th Cir. 2017) .....................
28
Bricklayers & Trowel Trades International
Pension Fund v. Credit Suisse Securities
(USA),
752 F.3d 82 (1st Cir. 2014) .......................
29
Carmichael v. Verso Paper, LLC,
679 F. Supp. 2d 109 (D. Me. 2010) ...........
30
Casas Office Machines, Inc. v. Mita
Copystar Am., Inc.,
42 F.3d 668 (1st Cir. 1994) .......................
30
City of Pomona v. SQM N. Am. Corp.,
750 F.3d 1036 (9th Cir. 2014) ................... 13, 20
Crowe v. Marchand,
506 F.3d 13 (1st Cir. 2007) .......................
30
Daubert v. Merrell Dow Pharmaceuticals, Inc.,
509 U.S. 579
(1993) ......... 1, 2, 12-18, 20, 23-25, 27, 28, 30, 33
vi
TABLE OF AUTHORITIES—Continued
Page(s)
Doucette v. Jacobs,
106 F.4th 156 (1st Cir. 2024) ....................
32
E. Auto Distribs., Inc. v. Peugeot Motors
of Am., Inc.,
795 F.2d 329 (4th Cir. 1986) .....................
27
EEOC v. Freeman,
778 F.3d 463 (4th Cir. 2015) ..................... 26, 27
Exafer Ltd v. Microsoft Corp.,
-- F.4th --, No. 2024-2296, 2026 WL
627886 (Fed. Cir. Mar. 6, 2026) ...............
33
Gen. Elec. Co. v. Joiner,
522 U.S. 136 (1997) ............................. 18, 25, 32
Gopalratnam v. Hewlett-Packard Co.,
877 F.3d 771 (7th Cir. 2017) .....................
25
Gulf S. Insulation v. U.S. Consumer Prod.
Safety Comm’n,
701 F.2d 1137 (5th Cir. 1983) ...................
18
Henderson v. Lockheed Martin Corp.,
No. 6:21-cv-1363, 2024 WL 6896218
(M.D. Fla. Oct. 23, 2024) .......................... 5, 19
In re Joint E. & S. Dist. Asbestos Litig.,
52 F.3d 1124 (2d Cir. 1995) ...................... 20, 23
In re Lipitor (Atorvastatin Calcium) Mktg.,
Sales Pracs. & Prods. Liab. Litig.
(No. II) MDL 2502,
892 F.3d 624 (4th Cir. 2018) ..................... 25, 27
Irvine v. Murad Skin Research Labs., Inc.,
194 F.3d 313 (1st Cir. 1999) .....................
30
vii
TABLE OF AUTHORITIES—Continued
Page(s)
Kennedy v. Collagen Corp.,
161 F.3d 1226 (9th Cir. 1998) ...................
32
Le Doux v. Western Express, Inc.,
126 F.4th 978 (4th Cir. 2025) ...................
27
Milward v. Acuity Specialty Prods. Grp.,
Inc., 639 F.3d 11 (1st Cir. 2011) ............... 30-32
Primiano v. Cook,
598 F.3d 558 (9th Cir. 2010) .....................
18
Rappuhn v. Primal Vantage Co.,
No. 23-10050, 2024 WL 2930448
(11th Cir. June 11, 2024) .......................... 12, 20
Rodriguez v. Hospital San Cristobal,
91 F.4th 59 (1st Cir. 2024) ........................
32
Sardis v. Overhead Door Corporation,
10 F.4th 268 (4th Cir. 2021) ..................... 28, 29
Sierra Club v. Energy Future Holding Corp.,
No. 6:12-cv-00108, 2014 WL 12690021
(W.D. Tex. Jan. 29, 2014) .........................
5
Summers v. Missouri Pac. R.R. Sys.,
132 F.3d 599 (10th Cir. 1997) ...................
23
Teradata Corp. v. SAP SE,
124 F.4th 555 (9th Cir. 2024), cert.
denied, 146 S. Ct. 118 (2025) ....................
33
Tyger Construction Co., Inc. v. Pensacola
Construction Co.,
29 F.3d 137 (4th Cir. 1994) .......................
26
United States v. Ala. Power Co.,
730 F.3d 1278 (11th Cir. 2013) ................ 4-5, 19
viii
TABLE OF AUTHORITIES—Continued
Page(s)
United States v. Barton,
909 F.3d 1323 (11th Cir. 2018) .................
20
United States v. La. Generating, LLC,
929 F. Supp. 2d 591 (M.D. La. 2012) .......
5
United States v. Hudak,
156 F.4th 405 (4th Cir. 2025) ...................
28
United States v. Markovich,
95 F.4th 1367 (11th Cir. 2024) .................
33
CONSTITUTION
U.S. Const. art. III ........................................
11
STATUTES
42 U.S.C. § 7661c(a) .....................................
8
Emergency Planning and Community
Right-to-Know Act, 42 U.S.C. § 11001,
et seq. .........................................................
8
RULES
Fed. R. Evid. 104(a) ...................................... 14, 17
Fed. R. Evid. 702 .......... 1, 2, 4, 5, 7, 11, 12, 14-20,
23-25, 28, 29, 32, 33
Fed. R. Evid. 702(a) ......................................
29
Fed. R. Evid. 702(b) ......... 1, 11, 15, 20, 24, 25, 29,
32, 33
Fed. R. Evid. 702(c) ...................................... 11, 32
Fed. R. Evid. 702(d) ...................................... 11, 32
ix
TABLE OF AUTHORITIES—Continued
Page(s)
Fed. R. Evid. 702 advisory committee’s
notes to 2000 amendments .......................
16
Fed. R. Evid. 702 advisory committee’s
notes to 2023 amendments ....................... 16, 17
OTHER AUTHORITIES
29 CHARLES ALAN WRIGHT & ARTHUR R.
MILLER,
FEDERAL
PRACTICE
AND
PROCEDURE (2d ed. 2025 update) .............
16
Emissions Inventory, W. VA. DEP’T OF ENV’T
PROT., https://dep.wv.gov/daq/planning/
inventory/Pages/default.aspx (last visited
March 12, 2026) ........................................
8
Matthew W. Swinehart, Note, Remedying
Daubert’s Inadequacy in Evaluating the
Admissibility of Scientific Models Used in
Environmental Tort Litigation, 86 TEX.
L. REV. 1281 (2008) ...................................
18
INTRODUCTION
The First and Fourth Circuits are not islands of
lawless resistance to the 2023 amendments to Federal
Rule of Evidence 702. Applying settled law, including
cases decided after the 2023 amendments, these
courts regularly examine the factual bases of expert
testimony as part of their reliability analysis under
Daubert v. Merrell Dow Pharmaceuticals, Inc., 509 U.S.
579 (1993). They allow testimony from experts whose
opinions are based on sufficient facts or data and
exclude those who don’t. And where, as happened
here, lower courts overstep the bounds of their
“gatekeeping” role and invade the province of the jury,
the First and Fourth circuits reverse.
Thus, there is no fissure between the circuits in their
application of Rule 702. Petitioners, however, posit
that in the First and Fourth circuits, the judicial
gatekeepers are asleep at their posts, leaving junk
science to run amok. What is worse, they suggest that
the appellate judges presiding over this dereliction of
duty have snubbed the enlightened counsel of the
Rules Committee, stubbornly clinging to a rule that
defies reason and precedent. According to Petitioners,
this Court’s intervention is the only hope for bringing
these rogue jurisdictions into alignment with the law.
This is simply untrue. The First and Fourth circuits
each recognize that expert opinion can be excluded
because it “lacks sufficient support in the record or . . .
there is simply too great an analytical gap between
[the expert’s] data and the opinion proffered.” App’x
27a n.7 (opinion below). These principles fully implement Rule 702(b)’s “sufficient facts or data” requirement.
They also coexist peacefully with the related rule that
questions regarding the “factual underpinnings” of an
expert’s testimony typically go to weight, rather than
2
admissibility. Neither circuit enforces this latter rule
in the categorical fashion claimed by Petitioners, i.e.,
as an absolute bar to any consideration of the factual
basis of expert opinion. Instead, the rule merely
codifies the commonsense notion that, after an expert
has provided cogent reasons for his choice of data or
other factual inputs, the trier of fact should usually
resolve disputes about the validity of those inputs,
rather than the district judge in Daubert proceedings.
Here, the Fourth Circuit honored this well-established principle by reversing an overreaching judge
who grossly exceeded his gatekeeping role. Among
other errors, the trial court imposed a judge-crafted,
heightened standard of admissibility that is completely
untethered from the text of Rule 702. Inspired by a
series of law review articles critiquing the use of air
dispersion modeling in environmental litigation, the
court declared that experts using such a model must
employ “[a]n in-depth data investigation, a searching
historical analysis, an excruciating attention to detail,
and a methodology designed to wring error out of the
process . . . .” Id. 62a–63a. This exacting benchmark
far exceeds Rule 702’s requirement that expert
testimony be based on “sufficient facts or data.” On top
of this glaring error, the trial court also resolved
conflicts in the evidence, made credibility determinations between the parties’ experts, and hazarded
amateur findings on “the science of wind” that even the
dissenting Fourth Circuit judge acknowledged were
improper.
Plagued by these errors, the district court’s opinion
would have been reversed under the law of any circuit.
Thus, even if there were a circuit split concerning how
to apply Rule 702’s “sufficient facts or data” requirement (which, to be clear, there is not), this case would
3
be a poor vehicle to address it because this Court’s
intervention would not change the outcome below.
Finally, the granularity of the district court’s
analysis makes this a thoroughly fact-bound case.
Contrary to Petitioners’ narrative, this is not a case
where the appeals court rubber-stamped a patently
defective expert opinion by mechanically applying an
inappropriately deferential rule of law. Rather, because
the district court’s analysis was subtle and fastidious,
the Fourth Circuit reversed on equally painstaking
grounds. The appeals court traced five nuanced evidentiary errors committed by the district court, which
ranged from the lower court’s improper resolution of a
debate about the accuracy of toxic airborne exposure
data from state and federal regulators, to the propriety
of synthesizing weather data from multiple locations
when modeling emissions of air pollution, to an
invented requirement that an expert independently
“validate” emissions data recorded by the opposing
party. If this Court grants the Petition, it will find itself
mired in these questions instead of deciding a clean
legal issue. For this additional reason, this case is a
poor vehicle for this Court’s review.
STATEMENT OF THE CASE
I.
Since 1978, Petitioners have operated a facility in
South Charleston, West Virginia (the “Facility”) that
manufactures ethylene oxide (“EtO”). EtO is an
odorless, colorless gas with industrial applications
that range from sterilizing medical devices to creating
synthetic fibers like polyester. It is also a potent
carcinogen, a fact that government bodies in the
United States have acknowledged since at least 1977.
App’x 91a.
4
Despite these risks to human health, Petitioners
released significant quantities of EtO into the
community surrounding the Facility over a period of
decades.1 This stream of toxic, airborne emissions put
the inhabitants of this community at an increased risk
of contracting numerous cancers, including leukemia
and breast cancer.
Respondent Lee Ann Sommerville is one such
affected community member. As a resident of the Class
Area she will need to undergo medical testing, for the
rest of her life, designed to detect cancers she is at an
increased risk of developing because of Petitioners’
EtO emissions.
To redress this harm, Respondent filed suit in the
District Court for the Southern District of West
Virginia on behalf of herself and a class of similarly
situated persons. She asserted a medical monitoring
claim under West Virginia law, which allows plaintiffs
to recover the cost of “medical testing” when their
“exposure to toxic chemicals creates an enhanced risk
of disease . . . .” Bower v. Westinghouse Elec. Corp., 522
S.E.2d 424, 431 (W. Va. 1999) (citation omitted).
Among other proof, Respondent supported her claim
with the expert opinion of Dr. Ranajit Sahu. Dr. Sahu
is a Ph.D.-level mechanical engineer with over thirty
years of experience in environmental and pollutionrelated projects, including emissions modeling. App’x
45a. Courts across the country—including the Fifth
and Eleventh Circuits—have approved his emissions
modeling work as reliable under Federal Rule of
Evidence 702. See United States v. Ala. Power Co., 730
1
Respondent’s claims concern the period from 1978 to 2019
(the “Class Period”). App’x 2a. The area surrounding the Facility
is known as the Kanawha Valley (the “Class Area”). Id. 80a.
5
F.3d 1278, 1288 (11th Cir. 2013); United States v. La.
Generating, LLC, 929 F. Supp. 2d 591, 596 (M.D. La.
2012); Sierra Club v. Energy Future Holding Corp., No.
6:12-cv-00108, 2014 WL 12690021, at *8 (W.D. Tex.
Jan. 29, 2014); Henderson v. Lockheed Martin Corp.,
No. 6:21-cv-1363, 2024 WL 6896218, at *2–3 (M.D. Fla.
Oct. 23, 2024).
II.
After analyzing Petitioners’ operations at the
Facility, Dr. Sahu prepared an air dispersion model
designed to reconstruct the flow of EtO emissions and
measure the levels of exposure inflicted upon the
surrounding community. Dr. Sahu built his model by
selecting relevant data points and then using a
computer algorithm to project the effect of those forces
over time. App’x 19a n.4 (explaining AERMOD
modeling program). These inputs included “source
parameters,” or descriptions of pollutant-emitting
activities at the Facility, emissions data submitted
to regulators, and meteorological data. Id. 19a. As
the Fourth Circuit later acknowledged, Dr. Sahu
presented detailed reasoning regarding how he chose
these inputs. Id. 20a. After applying this method, Dr.
Sahu concluded Petitioners exposed the surrounding
community to levels of EtO far in excess of normal,
background levels.
Before trial, the district court granted Petitioners’
motion to exclude Dr. Sahu’s testimony. Id. 42a. The
court based its ruling on its disapproval of the data
utilized by Dr. Sahu, and his explanations therefor, in
four key areas, discussed in turn below. Overarching
these more particular findings, however, was the
district court’s conclusion that the uncertainties
inherent in air dispersion modeling necessitated a
heightened standard of reliability under Rule 702. In
6
the court’s view, such a model is only admissible if it
applies “an in-depth data investigation, a searching
historical analysis, an excruciating attention to detail,
and a methodology designed to wring error out of the
process.” Id. 62a–63a, 87a (cleaned up). The court
ultimately concluded that Dr. Sahu failed to meet this
heightened standard, and erroneously excluded his
opinions on that basis.
A. Source Parameters
Regarding source parameters, the district court
faulted Dr. Sahu for aggregating emissions data from
two different facilities operated by Petitioners: the
Facility and another plant located in nearby Institute,
West Virginia. Dr. Sahu explained that the model allows
the user to isolate data for any particular emission
source at either facility, thereby alleviating this
“disaggregat[ion]” concern. Id. 62a. Notwithstanding
this proof, the district court, without citation to
contrary fact, inexplicably held that the model “cannot
determine the reliability of the estimated exposure
from the Defendants’ operations based on the
information provided.” Id.
The district court also criticized Dr. Sahu’s decisions
to use “modeling conducted in 2019 by the West
Virginia Department of Environmental Protection”
(“WVDEP”) to model source parameters for the entire
Class Period and to model all Facility emissions as
“fugitive” during the years 1985–89. Id. 63a–65a.2 Dr.
Sahu, however, explained that these assumptions were
2
Fugitive emissions are “releases to air that don’t occur
through a confined air stream[,] such as via equipment leaks.”
App’x 19a n.3 (cleaned up) (citation omitted). By contrast,
“point source” emissions “occur through identifiable confined air
streams, such as stacks, ducts or pipes.” Id.
7
necessary given the lack of specificity in Petitioners’
emissions records. Id. 65a (“Such sources may have
been capable of being modeled with greater precision
had [Petitioners] taken efforts to describe these
sources more precisely in the ordinary course of
business—but they did not.”).
B. Historical Emissions Data
Next, the district court took issue with certain
assumptions Dr. Sahu used to fill gaps in historical
emissions data. For the year 1984, the court faulted Dr.
Sahu for relying on data submitted by Petitioners to
the WVDEP as part of its “1984 Emission Inventory.”
Id. 68a. Despite being prepared by the operators of the
Facility for use by regulators, the court concluded this
data was “patently unreliable” because after submitting it, Petitioners sent a letter to the WVDEP
expressing reservations about its validity. Id. 68a–69a.
Dr. Sahu explained that he thought these reservations
were unfounded, and that Petitioners had given him
no real reason to doubt the 1984 data. Id. 68a. He also
made the reasonable assumption that “the company
would not provide misleading data to its regulator.” Id.
69a. But to the district court, this was not enough: Dr.
Sahu was obligated to “validate” the 1984 data himself.
Id. 69a–70a. The court did not explain, however, what
this “validation” would look like, nor did it cite Rule
702 or any other source of law for this requirement.
For the years 1985–89, the court criticized Dr. Sahu
for relying on another type of submission to the
WVDEP: Petitioners’ “Toxic Air Pollutant Facility
Registration Summary Sheets.” Id. 71a. The court
cited Petitioners’ expert’s view that these sheets reflect
maximum possible emissions, rather than actual
emissions. Id. But Dr. Sahu interpreted these records
differently: because the emissions figures on the
8
summary sheets varied substantially over time, they
would have had to represent actual emissions, as a
true emissions ceiling for the Facility would not
fluctuate without emissions point or infrastructure
changes. Id. 72a. Dr. Sahu explained there was no
evidence of substantial changes in operations at the
Facility from 1985 to 1989. Id. (“There were no process
changes [Dr. Sahu] could identify in the record
between 1989 and the gap years . . . .”). This, again,
could not satisfy the district court: it found Petitioners’
expert more persuasive. Id.
For the period from 1990–2019, the court found it
unacceptable that Dr. Sahu utilized Petitioners’ own
emissions data submitted under the EPA’s Toxics
Release Inventory (“TRI”) and WVDEP’s annual
emissions inventory.3 Parroting Petitioners’ expert, the
court held that because this data was not compiled for
the express purpose of “exposure reconstruction,”
Dr. Sahu was obligated to “validate” it himself before
using it in his model. Id. 74a–75a. Again, the court did
not explain what this additional step of “validation”
would consist of.
Lastly, the court faulted Dr. Sahu for modeling
Petitioner Covestro’s emissions at a constant rate
throughout the Class Period despite the availability of
site-specific data showing otherwise. Id. 67a. But, as
3
The TRI is a database maintained by the EPA pursuant to
the Emergency Planning and Community Right-to-Know Act, 42
U.S.C. § 11001, et seq.
WVDEP maintains an annual emissions inventory pursuant to
its responsibilities under Title V of the Clean Air Act. 42 U.S.C.
§ 7661c(a) (requiring emissions reporting by permit holders); see
also Emissions Inventory, W. VA. DEP’T OF ENV’T PROT., https://
dep.wv.gov/daq/planning/inventory/Pages/default.aspx (last visited
March 12, 2026).
9
the Fourth Circuit later noted, Dr. Sahu corrected this
issue in a supplemental report. Id. 27a. Without
explanation, the district court ignored this submission.
Id. 67a.
C. Meteorological Data
The district court also quarreled with Dr. Sahu’s
choice of meteorological data inputs. Dr. Sahu relied on
data from multiple locations to model weather
conditions around the Facility over the Class Period.
His primary reason for doing so was the lack of on-site
data: Petitioners could only provide “on-site wind
speed and wind direction data collected between” 1985
and 1986. Id. 77a. Not only was this data limited in
time: it did not address “other required meteorological
parameters” that impact EtO air dispersion, including
“atmospheric pressure, relative humidity, cloud cover,
and precipitation.” Id.
Dr. Sahu also needed data from higher elevations to
reconstruct emissions from “elevated point source[s]”
at the Facility. Id. 25a. And he inputted weather data
from outside the Kanawha Valley because he sought to
model the flow of EtO “in the wider area.” Id. 81a.
Ignoring these explanations, the district court held
that Dr. Sahu’s meteorological inputs were not
“representative” enough. Id. 79–80a. Opining from the
bench on “the science of wind,” the court deemed it
improper to utilize weather data from multiple
locations because “a single location . . . cannot have
multiple wind speeds coming from various directions
at one specific time.” Id. 24a, 80a.4
4
In the Fourth Circuit, even the dissenting judge recognized
the district court’s overreach on this point. App’x 39a n.9
10
The court also claimed Dr. Sahu “ignor[ed] the
topographical characteristics of the region” by
utilizing data from other locations. Id. 80a. In so doing,
the court ignored Dr. Sahu’s explanations of how data
from multiple elevations would actually best represent
“South Charleston’s mountainous geography,” particularly in light of the limitations of localized data. Id. 25a.
Finally, the court faulted Dr. Sahu for using the
1985–86 wind speed and direction data as a constant
for the entire Class Period (1984–2019). Id. 80a. But
again, Dr. Sahu explained his use of this data: there
was no better data available outside 1985–86, and Dr.
Sahu combined this data with additional inputs
regarding other meteorological factors across a longer
timeframe to reach his conclusions. Id. 80a–81a.
D. Background EtO Levels
Lastly, the district court held that Dr. Sahu chose the
wrong figures to represent background levels of EtO in
the Class Area. “‘Background’ refers to exposure levels
experienced by the general population as opposed to
the levels [Respondent] alleges she was exposed to due
to [Petitioners’] negligence.” Id.
Dr. Sahu used the national annual average for EtO
exposure contained in the EPA’s National Air Toxics
Assessment (“NATA”) as his background figure. Id.
82a. The district court found this figure too detached
from localized conditions around the Facility: in its
view, the preferred data source was a single local
monitoring report issued by the WVDEP based on
“four . . . 24-hour sampling events.” Id. 26a.
(“It strikes me as unwise for courts to opine on ‘the science of
wind’—whatever that entails—unless absolutely necessary.”).
11
Dr. Sahu explained he did not use the WVDEP’s
monitoring data because “[f]our days of data cannot be
used to calculate risk over a 70-year period.” Id. 26a.
Thus, despite there being two imperfect data sources,
without explanation as to why it was superior or met
its heightened reliability standard, the district court
decided to credit Petitioners’ choice of data inputs over
Respondent’s. Id. 88a. In so doing, the court held that
Dr. Sahu failed to meet its specific, heightened
standard for air modeling experts. Id. 87a.
E. District Court’s Conclusion and Final
Order
Ultimately, the district court excluded Dr. Sahu’s
testimony in its entirety because it was allegedly “not
based upon sufficient facts or data.” Id. 88a. In the
alternative, the court also held that Dr. Sahu’s
testimony was not the product of “reliable principles
and methods,” and that he had not “reliably applied”
his methods to the facts of the case. Id. The court thus
invoked every Rule 702 subpart aside from relevancy.
See Fed. R. Evid. 702(b)–(d).
In a later ruling, the court granted summary
judgment to Petitioners on Article III standing
grounds that are not the subject of the current
Petition. App’x 89a.
III.
A divided panel of the Fourth Circuit reversed the
district court’s exclusion of Dr. Sahu’s testimony.5 The
appeals court held that the district court abused its
discretion in arriving at each of its “supposedly
5
The panel also reversed the district court’s ruling on
Respondent’s standing to sue. App’x 6a–17a. Petitioners do not
seek review of that decision.
12
independently-sufficient reasons” for excluding Dr.
Sahu. Id. 20a.
Regarding source parameters, the court held that
the district court wrongly favored Petitioners’ expert
on disputed data-choice issues. Id. (“The district court
. . . simply ignored or discounted Dr. Sahu’s proffered
explanations in favor of those that [Petitioners’]
expert, Dr. Ranjit Machado, offered.”). This, the court
observed, “was not a true critique of Dr. Sahu’s
‘methodology,’ but a veiled credibility determination
based on Dr. Sahu’s choice of which data to input into
his model.” Id. Given the presence of conflicting expert
testimony and multiple sets of available data, the
questions raised by the district court “affect[ed] the
weight and credibility of [Dr. Sahu’s] assessment,
not its admissibility.” Id. 21a. To bolster this point,
the appeals court also cited an Eleventh Circuit
case decided after the 2023 amendments to Rule
702 explaining that “[c]rediting one expert over
another . . . misapplies Daubert and intrudes on the
province of the jury.” Id. (citing Rappuhn v. Primal
Vantage Co., No. 23-10050, 2024 WL 2930448, at *4
(11th Cir. June 11, 2024)).
The appeals court then rebuked the district court for
imposing the “extratextual” requirement that Dr. Sahu
“validate” data before using it in his model. Id. As the
court put it, “[n]othing in Rule 702 requires an expert
witness to ‘validate’ data.” Id. What is more, the
district court never “explain[ed], in practical terms,
how Dr. Sahu was supposed to undertake ‘validation.’”
Id. (emphasis in original).
Regarding historical emissions data, the appeals
court again found the district court abused its discretion
by crediting Petitioners’ expert over Respondent’s in
fact disputes regarding the reasons an expert might
13
choose one data set over another. It concluded the
district court erred by crediting Petitioners’ reservations about the data they reported to WVDEP, and by
disregarding “Dr. Sahu’s testimony justifying his . . .
interpretation of the” Toxic Air Pollutant Facility
Registration Summary Sheets. Id. 22a–23a. On this
latter point, the appeals court relied on case law across
various circuits, including the Eighth and Second, and
specifically quoted the Ninth Circuit in finding that
“[s]uch a ‘factual dispute is best settled by a battle of
the experts before the fact finder, not by judicial fiat.’”
Id. 23a (quoting City of Pomona v. SQM N. Am. Corp.,
750 F.3d 1036, 1048–49 (9th Cir. 2014)).
Moving on to meteorological data, the appeals court
again criticized the district court for “ignor[ing] Dr.
Sahu’s testimony” explaining his choice of data,
specifically as to “why using wind data from various
altitudes was proper . . . and why [he] chose to use
onsite data from 1985–86 to model 1984–2019.” Id.
25a. Per Daubert, the appeals court concluded that to
the extent any of these explanations were unsatisfying
to Petitioners, their recourse lay in “cross-examination, presentation of contrary evidence, and careful
instruction on the burden of proof ” at trial. Id. (quoting
Daubert, 509 U.S. 579, 596 (1993)). The appeals court
also rebuked the district court fashioning itself an
amateur scientist and reaching unsupported findings
regarding “the science of wind,” and crediting its own
amateur conclusions over Dr. Sahu’s testimony
regarding wind data. Id. 24a–25a.
Finally, regarding background EtO levels, the
appeals court held that the debate between the parties’
experts regarding whether to use the NATA baseline
figures or the more local but time-limited data from
14
WVDEP presented a “credibility determination[]” the
district court was not entitled to make. Id. 26a.
To conclude, the appeals court held that “in
accordance with Federal Rules of Evidence 104(a) and
702, Sommerville has established by a preponderance
of evidence that Dr. Sahu’s testimony is admissible.”
Id. 27a.
In dissent, Chief Judge Diaz cited a host of Fourth
Circuit cases affirming the exclusion of experts whose
opinions were based on faulty data or lacked a
sufficient basis in record evidence. See id. 34a–37a.
In response to Judge Diaz’s criticisms, the majority
reaffirmed that district courts can always “decide that
an expert’s opinion lacks sufficient support in the
record or that there is simply too great an analytical
gap between [an expert’s] data and the opinion
proffered.” Id. 27a n.7 (cleaned up). But when a district
court excludes an expert “based on (1) its mere disagreement with an expert’s choice of data or (2) its own
assessment of the correctness of an expert’s opinions,”
it exceeds its gatekeeping role under Daubert. Id.
REASONS FOR DENYING THE PETITION
I. The District Court Would Have Been
Reversed in Any Circuit.
The district court committed a series of blatant,
fundamental errors that would have earned it reversal
in any circuit. In turn, the appeals court analyzed
these errors in detail—it did not simply rubber-stamp
Dr. Sahu’s testimony because Petitioners challenged
its factual basis. This creates vehicle concerns for this
Court because there are clear, alternative grounds on
which to affirm. It also highlights that the Fourth
Circuit’s rule regarding the role of an expert’s data in
15
the Rule 702 reliability analysis is not the categorical
bar that Petitioners claim.
The district court committed five glaring, overarching errors by 1) erecting a unique, heightened reliability
standard for experts engaged in air dispersion
modeling; 2) requiring Dr. Sahu to independently
“validate” data Petitioners submitted to regulators; 3)
making credibility determinations between competing
experts on issues of the appropriate choice of data; 4)
issuing unwarranted, amateur scientific findings from
the bench; and 5) ignoring corrections introduced by
Dr. Sahu’s supplemental report. These errors go the
heart of trial courts’ gatekeeping role under Daubert
and Rule 702—correcting them does not depend on
any specific formulation of Rule 702(b)’s “sufficient
facts or data” requirement.6
A. Unlawful Heightened Scrutiny
Based on its own hostility toward the science of air
dispersion modeling, the district court concocted a
standalone, heightened standard for experts in this
field: in the court’s view, such experts must employ
“[a]n in-depth data investigation, a searching historical
analysis, an excruciating attention to detail, and a
methodology designed to wring error out of the
process . . . .” App’x at 62–63a. This exacting
benchmark far exceeds Rule 702’s requirement that
the proponent of expert testimony show it is more
likely than not that the expert’s opinion is “based on
sufficient facts or data . . . ,” Fed. R. Evid. 702(b), and
6
In any event, the Fourth Circuit expressly held that
Respondent “established by a preponderance of the evidence that
Dr. Sahu’s testimony is admissible.” App’x 27a.
16
is not supported by law in any circuit as shown in
Section C(iii), infra.
In keeping with the flexibility of the Daubert inquiry,
there is not a hard and fast definition of what
constitutes “sufficient facts or data” to support an
expert opinion. See Daubert, 509 U.S. at 594–95
(describing reliability analysis as “flexible” and “focused
on principles and methodology, not . . . the conclusions
that they generate”). However, the Advisory Committee’s
Notes indicate the inquiry is “quantitative rather than
qualitative . . . .” Fed. R. Evid. 702 advisory committee’s
notes to 2000 amendments. Thus, “[t]he question is
whether the expert considered enough information to
make the proffered opinion reliable.” 29 CHARLES ALAN
WRIGHT & ARTHUR R. MILLER, FEDERAL PRACTICE AND
PROCEDURE § 6268 (2d ed. 2025 update) (emphasis added).
Rule 702’s text also provides guidance, as “[t]he word
‘sufficient’ signifies that the expert may properly base
her opinion on something less than all the pertinent
facts or data.” Id. (emphasis added). “Thus, sufficiency
is not a matter of whether the judge believes in the
facts or data on which the expert relies.” Id.; see also
Fed. R. Evid. 702 advisory committee’s notes to 2000
amendments (“The emphasis in the amendment on
‘sufficient facts or data’ is not intended to authorize a
trial court to exclude an expert’s testimony on the
ground that the court believes one version of the facts
and not the other.”).
“[O]nce the court has found it more likely than not
that the [sufficient facts or data] requirement has been
met, any attack by the opponent will go only to the
weight of the evidence.” Fed. R. Evid. 702 advisory
committee’s notes to 2023 amendments. Crucially, this
framework does not “require[] the court to nitpick an
expert’s opinion in order to reach a perfect expression
17
of what the basis and methodology can support.” Id.
And where experts disagree on the proper basis for
scientific opinion, the Advisory Committee Notes
express a preference for adversarial testing, not
outright exclusion:
It will often occur that experts come to
different conclusions based on contested sets
of facts. Where that is so, the Rule 104(a)
standard does not necessarily require exclusion of either side’s experts. Rather, by
deciding the disputed facts, the jury can
decide which side’s experts to credit.
Proponents do not have to demonstrate to the
judge by a preponderance of the evidence that
the assessments of their experts are correct,
they only have to demonstrate by a preponderance of evidence that their opinions are
reliable . . . The evidentiary requirement of
reliability is lower than the merits standard
of correctness.
Id. (cleaned up) (citation omitted).
Here, the district court’s approach deviated wildly
from these principles. Rather than analyze whether
it’s more likely than not that Dr. Sahu considered
“enough information to make [his] opinion reliable,”
the court raised the much higher bar of whether Dr.
Sahu employed “[a]n in-depth data investigation, a
searching historical analysis, an excruciating attention to
detail, and a methodology designed to wring error out
of the process . . . .” App’x 62a–63a. This is not an
application of Rule 702 or Daubert standards; instead,
it is a standalone rule without support in the law.
Viewing the case through this improper lens, the
district court discredited Dr. Sahu’s data extrapolations, even though such extrapolations are inherent in
18
air dispersion modeling. Cf. Gen. Elec. Co. v. Joiner, 522
U.S. 136, 146 (1997) (“Trained experts commonly
extrapolate from existing data.”); see also Primiano v.
Cook, 598 F.3d 558, 565 (9th Cir. 2010) (“Lack of
certainty is not, for a qualified expert, the same thing
as guesswork.”).
Stated another way, far afield from the text of Rule
702, the district court essentially crafted a “precision”
prerequisite for expert testimony. To justify this
requirement, the court reached all the way back to a
pre-Daubert decision by the Fifth Circuit—that did not
even consider Rule 702—for the proposition that “[t]o
make precise estimates, precise data [is] required.”
App’x 67a (citing Gulf S. Insulation v. U.S. Consumer
Prod. Safety Comm’n, 701 F.2d 1137, 1146 (5th Cir.
1983)). The district court thus erred by straying
outside the framework of Rule 702, Daubert, and its
progeny.
It is telling that the district court’s opinion is replete
with quotations from law review notes and articles
that advocate abandoning the Daubert admissibility
inquiry when courts evaluate environmental modeling
experts. See, e.g., Matthew W. Swinehart, Note,
Remedying Daubert’s Inadequacy in Evaluating the
Admissibility of Scientific Models Used in EnvironmentalTort Litigation, 86 TEX. L. REV. 1281, 1283 (2008)
(“Daubert is not the appropriate way to evaluate model
reliability, or at least it requires significant amendment to provide a credible analytic process.”); see also
App’x 54a, 58a, 59a, 87a (relying on Swinehart article).
Heavily influenced by these articles, the district court
left Daubert behind in pursuit of an academic quest
to rectify the so-called “troubled marriage between
science and law” purportedly reflected in litigants’ use
of dispersion modeling. App’x 58a. Any circuit would
19
have reversed this blatant legal error. This case is thus
not about whether the Fourth Circuit should follow the
dictates of Rule 702 (it does); this case is about
whether a district court can amend Rule 702 based
upon its personal views of a particular field of science
(it cannot).
B. “Validation” Requirement
The district court took the remarkable position that
Dr. Sahu’s opinion was unreliable because he failed to
independently “validate” emissions data submitted by
Petitioners to regulators. See App’x 70a, 74a–76.
Stated differently, the court held that an expert was
not entitled to rely on pollution data created by the
party seeking to exclude the expert and reported
to regulators who have the authority to impose fines
for inaccurate or incomplete emissions reporting. This
“glaring abuse of discretion,” App’x 21a, would have
been reversed in any circuit. See, e.g., Ala. Power, 730
F.3d at 1287 (“[T]here was a sufficient evidentiary
basis under Rule 702—including Alabama Power’s
own records and predictions—to support [the expert’s]
assertions . . . .”); Adams v. Ameritech Servs., Inc.,
231 F.3d 414, 427 (7th Cir. 2000) (“The underlying
information . . . came from the defendants ultimately,
and as such we see no problem in [expert’s] decision to
rely on it.”); Henderson, 2024 WL 6896218 at *2 (“If the
actual emissions are lower than what Lockheed’s
records say they are, Lockheed’s experts can explain to
the jury why—but Sahu using Lockheed’s own
numbers as his source does not make his methodology
unreliable.”).
Furthermore, as the Fourth Circuit correctly noted,
the district court’s validation requirement was wholly
“extratextual,” as “[n]othing in Rule 702 requires an
expert witness to ‘validate’ data.” App’x 21a. It was
20
also unworkably vague, prompting even the dissenting
judge to guess at the lower court’s meaning. Id. 37a.
Rule 702 requires “sufficient” data to form a reliable
opinion. Fed. R. Evid. 702(b). Validation is an
additional step stemming not from Daubert’s concept
of reliability, but from the district court’s idiosyncratic
views on the science of air dispersion modeling. In any
circuit, a district court manufacturing an extratextual
admissibility requirement would result in reversal.
C. Improper Credibility Determinations
Every circuit agrees that district courts cannot
make credibility determinations or resolve fact
disputes in the course of the Rule 702 inquiry. See, e.g.,
City of Pomona, 750 F.3d at 1044; United States v.
Barton, 909 F.3d 1323, 1333 (11th Cir. 2018) (“[I]t
would have gone beyond the gatekeeping function of
the trial court to exclude Zuleger’s testimony on the
basis of a credibility determination favoring [the
competing expert].”); In re Joint E. & S. Dist. Asbestos
Litig., 52 F.3d 1124, 1133 (2d Cir. 1995) (“Trial courts
should not arrogate the jury’s role in evaluating the
evidence and the credibility of expert witnesses by
simply choosing sides in the battle of the experts.”)
(cleaned up); App’x 23a. This remains true post-2023
amendments to Rule 702. See Rappuhn, 2024 WL
2930448, at *4 (“[C]rediting one expert over another . . .
misapplies Daubert and intrudes on the province of
the jury.”). The district court flouted these principles
by consistently “ignor[ing] or discount[ing] Dr. Sahu’s
proffered explanations in favor of those that
[Petitioners’] expert, Dr. Ranjit Machado, offered.”
App’x 20a. The court made at least four of these
improper credibility calls:
21
Meaning of “Summary Sheets”: The parties’
experts offered competing interpretations
of historical “Toxic Air Pollutant Facility
Registration Summary Sheets” submitted
by Petitioners to the WVDEP. Petitioners’
expert believed these sheets reflect maximum rather than actual emissions at the
Facility. Dr. Sahu disagreed, contending
that the change in the supposed “maximum”
figures over time showed they represent
actual emissions. The district court improperly resolved this conflict by “ignor[ing] Dr.
Sahu’s testimony justifying his contrary
interpretation of the summary sheets.” Id.
23a.
Crediting UCC’s Reservations About 1984
Emissions Data: To reconstruct “EtO
emissions . . . for 1984,” Dr. Sahu relied on
data Petitioners submitted to the West
Virginia Air Pollution Control Commission.
Id. 68a. When they submitted this data,
Petitioners included a letter stating certain
reservations about its validity. Dr. Sahu
believed these “conclusionary” reservations
provided no real basis to doubt the accuracy
of the 1984 figures. Id. He also explained he
reasonably assumed “the company would
not provide misleading data to its regulator[.]” Id. 69a. Again, the district court sided
with Petitioners, choosing to credit the
claims in their letter over Dr. Sahu’s “reasons
for why he did not believe [Petitioners’]
claim that [their] 1984 data were
inaccurate.” Id. 22a.
22
Choice of Meteorological Inputs: To model
weather conditions over the Class Period,
Dr. Sahu utilized a combination of
meteorological data from the Facility and
other locations with similar geography. As
with many of his other inputs, Dr. Sahu
relied on data from other locations because
reliable on-site data was lacking. Id. 25a.
He also explained how data from multiple
elevations would accurately represent
“South Charleston’s mountainous geography.”
Id. The district court ignored these
explanations, ultimately finding Dr. Sahu’s
reasoning “unpersuasive.” Id. 81a.
Use of NATA Figures to Set Background
EtO Levels: Dr. Sahu used the NATA
national average for EtO exposure to
represent the “background” exposure level
in the Class Area. Petitioners’ expert
opined that local monitoring data from the
WVDEP would more accurately represent
conditions around the Facility, but Dr. Sahu
explained he decided against using the
local data because it was based on limited
sampling: just four days of testing, which
was insufficient to create an annual
average. Id. 26a. As the appeals court
recognized, by resolving this evidentiary
dispute in favor of Petitioners’ expert, the
district court “waded into credibility
determinations.” Id.
D. Unwarranted “Scientific” Findings
The district court also excluded Dr. Sahu’s testimony
because his opinion conflicted with the court’s own
amateur understanding of “the science of wind.” Id.
23
24a. Without citing to any source, the court declared
that “a single location . . . cannot have multiple wind
speeds coming from various directions at one specific
time.” Id. 80a. The entire appellate panel agreed that
this conclusion was both scientifically suspect and
legally unnecessary. Id. 24a, 39a n.9.
This kind of overreach would earn reversal under
the law of any circuit. See, e.g., In re Joint E. & S. Dist.
Asbestos Litig., 52 F.3d at 1137 (reversing directed
verdict based on exclusion of expert testimony because
“the district court impermissibly made a number of
independent scientific conclusions . . . in a manner not
authorized by Daubert”); Summers v. Missouri Pac.
R.R. Sys., 132 F.3d 599, 604 (10th Cir. 1997) (holding
that “district courts must be careful not to don the
amateur scientist’s cap in ruling on scientific validity”)
(citation omitted); see also Daubert, 509 U.S. at 601
(Rehnquist, J., concurring in part and dissenting in
part) (observing that Rule 702 does not confer on
district courts “either the obligation or the authority to
become amateur scientists in order to perform” their
gatekeeping role).
E. Disregarding Dr. Sahu’s Supplemental
Report
Lastly, the district court inexplicably excluded Dr.
Sahu’s opinions based on conclusions that he amended
in a supplemental report. App’x 27a. Ignoring record
evidence that supports the reliability of an expert’s
opinion is an obvious error that would have been
reversed in any circuit.
24
II. The Fact-Bound Nature of this Case
Renders it a Poor Vehicle.
If this Court grants the Petition, it will find itself
mired in the minute factual questions undergirding
the district court’s opinion. The Fourth Circuit’s decision
bears this out: there, the appeals court painstakingly
analyzed each of the district court’s factual errors and
evidentiary missteps. If there were a need for new
jurisprudence regarding Rule 702(b)’s “sufficient facts
or data” requirement (which, to be clear, there is not),
this case would not be the vehicle for it.
Petitioners attempt to paper over the fact-bound
nature of this case by oversimplifying the disputes
that were central to the courts below. See Petition at
10–11 (reducing panel majority’s opinion to a single
legal principle). But as the foregoing discussion shows,
the district court’s over-exacting approach produced
evidence-intensive rulings that do not depend on any
specific formulation of Rule 702’s “sufficient facts or
data” requirement. If this Court grants review, its time
will be expended on these matters rather than
developing the law of Daubert on a clean record.
III. The Purported Split Is Illusory Because
Every Circuit Allows for Exclusion of
Expert Opinions That Lack Record
Support or Fail to Reliably Connect Data
and Conclusions.
Petitioners’ summary of the First and Fourth
Circuit’s approach to Rule 702(b)’s “sufficient facts or
data” requirement is a baseless caricature. Contrary to
their argument, those circuits do not follow a
categorical rule forbidding any and all scrutiny of the
factual bases of expert opinion. Rather, like every
other federal court of appeals, the First and Fourth
25
circuits regularly sanction the exclusion of expert
testimony that either lacks sufficient support in the
record or rests on an untenable “analytical gap
between the data and the opinion proffered.” Joiner,
522 U.S. at 146. These principles, which the Fourth
Circuit affirmed in this case, see App’x 27a n.7, fully
accommodate Rule 702(b)’s requirement that an
expert’s opinion rest on “sufficient facts or data.”
The phrase on which Petitioners seize—that “questions
regarding the factual underpinnings of the [expert
witness’] opinion affect the weight and credibility of
the witness’ assessment, not its admissibility”—does
not operate as a “get-out-of-Daubert-free card.” In re
Lipitor (Atorvastatin Calcium) Mktg., Sales Pracs. &
Prods. Liab. Litig. (No. II) MDL 2502, 892 F.3d 624, 641
(4th Cir. 2018). Instead, it merely underscores the
widely recognized notion that picking apart an
expert’s supporting data, literature, or other source
material is typically the province of cross-examination
and other forms of adversarial rebuttal. See
Gopalratnam v. Hewlett-Packard Co., 877 F.3d 771, 781
(7th Cir. 2017) (“The district court usurps the role of
the jury . . . if it unduly scrutinizes the quality of the
expert’s data and conclusions rather than the
reliability of the methodology the expert employed.”).
A review of the jurisprudence of the First and
Fourth circuits shows that these courts take seriously
their obligation to “gatekeep” expert testimony that
rests on an unsound factual basis. Further, none of the
cases cited by Petitioners involve the type of legal error
they claim: judges categorically refusing to consider
the factual bases of an expert’s opinion as part of the
Rule 702 reliability analysis. Instead, each case
faithfully performs the screening required by Rule
702(b) while honoring Daubert’s preference for adver-
26
sarial testing of disputed or doubtful expert opinion.
Petitioners’ claims notwithstanding, there are no
rogue jurisdictions in need of correction by this Court.
A. The Fourth Circuit
The Fourth Circuit has a robust body of law
affirming the exclusion of expert opinion that lacks a
sufficient factual basis. For example, in Tyger
Construction Co., Inc. v. Pensacola Construction Co., 29
F.3d 137, 144 (4th Cir. 1994), the appeals court
affirmed the district court’s exclusion of an expert
whose opinion was “based on assumptions which
[found] no support in the record.” The expert made a
host of assumptions that were either contradicted by
the record or simply made up out of whole cloth. 29
F.3d at 143–44. The appellate panel reversed the
district court’s decision to admit this testimony after
scrutinizing each faulty assumption in detail. Id. at
142–45.
Crucially, Tyger repudiated the “trial judge’s
belief . . . that the question of whether an expert’s
opinion had an adequate basis in fact should be
handled by opposing counsel through cross
examination and in jury argument.” Id. (emphasis
added). The court held that admitting an unreliable
expert opinion on this basis “was an abuse of
discretion” because district courts “may not abdicate
[their] responsibility to ensure that only properly
admitted evidence is considered by the jury.” Id. at 143.
Tyger is no outlier. In EEOC v. Freeman, 778 F.3d
463 (4th Cir. 2015), the appeals court affirmed the
exclusion of an expert who relied on a database that
inexplicably omitted critical data about the defendant’s
hiring practices. The court held that the “sheer
number of mistakes and omissions in [the expert’s]
27
analysis,” including the unexplained absence of
“hundreds of [job] applicants,” rendered it unreliable.
Id. at 467. Notably, in concurrence, Judge Agee
specifically rejected the EEOC’s argument that
“[p]urported flaws in [the expert’s] analyses concerned
data . . . and therefore concerned weight/credibility
issues for trial, not admissibility.” Id. at 472 (cleaned
up). Judge Agee wrote that “no court has accepted the
agency’s argument” because it “ignores Daubert’s
instruction that the district court must act as a
gatekeeper.” Id.
Similarly, in Le Doux v. Western Express, Inc., 126
F.4th 978, 984 (4th Cir. 2025) the appeals court
affirmed the exclusion of an accident reconstructionist
who, in tandem with a weather modeling expert,
sought to depict the conditions of a highway
accident during heavy rain. The court deemed the
reconstructionist’s method unreliable “because he
used inaccurate time stamps” that made it impossible
to accurately predict when the rain began, which was
a key issue in the case. Id. at 985. Thus, because the
expert relied on spurious data, the district court
properly excluded his testimony.
The Fourth Circuit has also excluded expert
testimony that “‘cherry-picks’ relevant data . . . .”
Lipitor, 892 F.3d at 634 (citation omitted). And its preDaubert jurisprudence upholds the same core
principle of screening expert testimony without a
proper factual foundation. See E. Auto Distribs., Inc. v.
Peugeot Motors of Am., Inc., 795 F.2d 329, 338 (4th Cir.
1986) (affirming exclusion of expert “[i]n light of the
unsupported and speculative assumptions underlying
[his] calculations”).
Just as consistently, the Fourth Circuit affirms the
exclusion of expert testimony based on there being “too
28
great an analytical gap” between the expert’s
conclusions and the available data. See United States
v. Hudak, 156 F.4th 405, 409–10 (4th Cir. 2025)
(affirming exclusion based on “striking incongruence”
between expert’s conclusion that mental health issues
prompted defendant’s aggressive behavior and “her
report, which included almost no facts about the period
of time in which the conduct occurred”); Belville v. Ford
Motor Co., 919 F.3d 224, 234 (4th Cir. 2019) (affirming
exclusion based on “considerable gap between [expert’s]
theory and any evidentiary proof of causation”).
These precedents are not undermined by the
statement from Bresler v. Wilmington Trust Co., 855
F.3d 178, 195 (4th Cir. 2017), that “questions regarding
the factual underpinnings of the expert witness’
opinion affect the weight and credibility of the witness’
assessment, not its admissibility.” (cleaned up). As the
Fourth Circuit recognized here, that notion does not
vitiate district courts’ obligation to exclude expert
testimony that is without a sufficient factual basis or
suffers from an “analytical gap” problem. App’x 27a
n.7. Instead, Bresler’s rule means that “a district court
may not exclude expert testimony based on (1) its mere
disagreement with an expert’s choice of data or (2) its
own assessment of the correctness of an expert’s
opinions.” Id. This is fully consonant with Daubert’s
principle of reliability, under which “[t]he focus . . .
must be solely on principles and methodology, not on
the conclusions that they generate.” 509 U.S. at 595.
Lastly, Petitioners’ depiction of the Fourth Circuit as
a rogue jurisdiction that fails to heed the 2023
amendments to Rule 702 runs headlong into Sardis v.
Overhead Door Corporation, 10 F.4th 268 (4th Cir.
2021), where the court praised the proposal that
preceded the amendments. The Sardis Court
29
extolled the Advisory Committee on Evidence Rules’
effort to correct the “pervasive problem” of judges “not
apply[ing] the preponderance standard of admissibility to [Rule 702’s] requirements of sufficiency of basis
and reliable application of principles and methods,
instead holding that such issues were ones of weight
for the jury.” Id. at 283–84. Sardis squarely refutes
Petitioners’ position that Fourth Circuit precedent is
“irreconcilable with . . . the clear direction provided by
the 2023 amendments to Rule 702.” Petition at 18.
B. The First Circuit7
The First Circuit also recognizes that expert
testimony should be excluded if it lacks an evidentiary
basis or is plagued by too many “analytical gaps.” For
example, in Bricklayers & Trowel Trades International
Pension Fund v. Credit Suisse Securities (USA), 752
F.3d 82, 91 (1st Cir. 2014), the appeals court affirmed
the district court’s exclusion of an economist who
arbitrarily chose “event dates” that drove his
calculation of losses on certain stock trades. The court
rejected the plaintiffs’ argument that the district court
excluded their expert based on a “credibility
determination,” finding instead that that the expert’s
chosen dates were “unrelated to the [plaintiffs’]
allegations and therefore [did] not ‘help the trier of fact
to understand the evidence or to determine a fact in
issue.’” Id. at 92 (quoting Fed. R. Evid. 702(a)).
Bricklayers is of a piece with numerous other cases
holding that district courts “may exclude expert
testimony . . . that . . . has no foundation or rests on
7
Because the Fourth Circuit’s jurisprudence complies with
Rule 702(b), this Court should not use this case as a vehicle to
render an advisory opinion on any independent flaws it identifies
with the First Circuit’s approach.
30
obviously incorrect assumptions or speculative evidence.”
See, e.g., Casas Office Machines, Inc. v. Mita Copystar
Am., Inc., 42 F.3d 668, 681 (1st Cir. 1994); Irvine v.
Murad Skin Research Labs., Inc., 194 F.3d 313, 321
(1st Cir. 1999) (“Absent adequate factual data to
support the expert’s conclusions his testimony was
unreliable.”).
As in the Fourth Circuit, these principles easily
harmonize with the rule that “[w]hen the factual
underpinning of an expert’s opinion is weak, it is a
matter affecting the weight and credibility of the
testimony—a question to be resolved by the jury.”
Milward v. Acuity Specialty Prods. Grp., Inc., 639 F.3d
11, 22 (1st Cir. 2011) (citation omitted). This principle
does not completely bar district court consideration of
the factual bases of an expert’s testimony. See
Carmichael v. Verso Paper, LLC, 679 F. Supp. 2d 109,
119 (D. Me. 2010) (“The adequacy of an evidentiary
foundation for the admissibility of an expert opinion
can be properly challenged with a Daubert motion.”).
Rather, it merely reinforces Daubert’s express preference
for “vigorous cross-examination over exclusion.” Id.;
see also Crowe v. Marchand, 506 F.3d 13, 18 (1st Cir.
2007) (“Objections . . . which question the factual
underpinnings of an expert’s investigation[] often go
to the weight of the proffered testimony, not to its
admissibility.”) (emphasis added).
Milward bears this out. There, the appeals court
reversed the district court’s exclusion of a highly
qualified expert8 who used the “weight of the evidence”
8
The expert was “acknowledged as a leading expert on the
study of the toxic effects of chemicals and drugs on the human
body, with particular emphasis on the mechanisms by which
benzene and its metabolites cause damage to both cells and the
human organism as a whole.” 639 F.3d at 15.
31
methodology to draw a causal connection between a
rare type of leukemia and the plaintiff ’s “workplace
exposure to benzene-containing products . . . .” 639 F.3d
at 13, 16. In a nutshell, the expert’s methodology
involved a cumulative finding inferred from a range of
sources, none of which was independently sufficient to
support the ultimate conclusion. Id. at 23.
The district court took aim at the studies relied upon
by the expert, raising doubts as to whether each one,
standing alone, supported a causal inference between
benzene exposure and leukemia. The lower court also
cited countervailing studies that, in its view, disproved
causation. Id. at 20–21. The First Circuit found two
errors in this approach: first, it “repeatedly challenged
the factual underpinnings of [the expert’s] opinion,
and took sides on questions that are currently the
focus of extensive scientific research and debate—and
on which reasonable scientists can clearly disagree.”
Id. at 22. Second, by demanding that each study relied
on by the expert independently prove causation, the
district court misunderstood the cumulative nature of
the “weight of the evidence” method. Id. at 23.
Thus, Milward did not simply wave the expert’s
opinion on to trial, as Petitioners contend. Petition at
20–21. Instead, it reversed an overzealous district
court that waded into disputed scientific questions
that should have been resolved at trial. Milward thus
stands for the uncontroversial proposition that when a
district court exhaustively interrogates the expert’s
factual basis rather than screening it for reliability, it
“cross[es] the boundary between gatekeeper and trier
of fact.” 639 F.3d at 22.9
9
Milward also reiterated that “expert testimony may be
excluded if there is too great an analytical gap between the data
32
Petitioners cite Doucette v. Jacobs, 106 F.4th 156 (1st
Cir. 2024) and Rodriguez v. Hospital San Cristobal, 91
F.4th 59 (1st Cir. 2024), as evidence that the First
Circuit continues to apply an errant rule. But Doucette
shows the opposite. There, the appeals court affirmed
the exclusion of a physician’s testimony based on her
“failure to ground her conclusions in the specifics of
the record – or even to consider key aspects of the
record . . . .” 106 F.4th at 170. These failings “meant
that [her] report fell short of Rule 702’s requirements
that her ‘testimony [be] based on sufficient facts or
data’ and that she ‘reliabl[y] appl[y] [her] principles
and methods to the facts of the case.’” Id. (quoting Fed.
R. Evid. 702(b), (d)).
Crucially, Doucette cited both Milward’s “factual
underpinnings” rule and Joiner’s rule regarding
“analytical gaps.” Id. at 169. And the case ended with
the exclusion of an unreliable expert. Doucette is thus
living proof that these rules complement each other
and do not, as Petitioners contend, render the First
Circuit a rogue jurisdiction where courts blink at every
challenge to the factual basis of an expert’s testimony.10
C. Other Circuits
Since the 2023 amendments to Rule 702, other
circuits, too, have cautioned district courts against
and the opinion proffered.” 639 F.3d at 15. It simply concluded
that, on the facts before it, “the gap was of the district court’s
making.” Id. at 22 (quoting Kennedy v. Collagen Corp., 161 F.3d
1226, 1230 (9th Cir. 1998)).
10
Rodriguez also affirmed the exclusion of unreliable expert
testimony, but not on “sufficient facts or data” grounds. 91 F.4th
at 72 (affirming district court’s conclusion that expert’s opinion
was not “the product of reliable principles and methods”) (quoting
Fed. R. Evid. 702(c)).
33
delving too deeply into experts’ factual bases when
conducting Daubert’s reliability analysis. See, e.g.,
Exafer Ltd v. Microsoft Corp., -- F.4th --, No. 2024-2296,
2026 WL 627886, at *3 (Fed. Cir. Mar. 6, 2026)
(reversing exclusion in part because Microsoft’s own
documents supported expert opinion); Teradata Corp.
v. SAP SE, 124 F.4th 555, 571 (9th Cir. 2024), cert.
denied, 146 S. Ct. 118 (2025) (“As with Asker’s other
conclusions, a trier of fact might disagree. But at this
stage, it is not our role to determine the veracity of the
expert’s conclusions. Asker’s assumption that runtime
HANA provides analytical functionality is sufficiently
plausible to constitute a competing version[ ] of the
evidence.”) (citation omitted and cleaned up); United
States v. Markovich, 95 F.4th 1367, 1377 (11th Cir.
2024) (“The Markoviches’ objections to the inadequacies of Clark’s study attack the weight of the evidence,
not its admissibility.”) (citation omitted and cleaned
up); Acad. Bank, N.A. v. AmGuard Ins. Co., 116 F.4th
768, 791 (8th Cir. 2024), reh’g denied, No. 23-1375,
2024 WL 4499662 (8th Cir. Oct. 16, 2024) (“[A]ny
failure to take account of windchill, pressure, and the
amount of water merely provided material for crossexamination or opposing expert testimony.”).
These cases further demonstrate that the First and
Fourth circuits are not outliers – they are in good
company when it comes to ensuring that Rule 702(b)’s
“sufficient facts or data” requirement does not replace
the adversary process. Thus, there is no “deep fissure,”
Petition at 30, or even a split among circuits regarding
application of Rule 702, making this Court’s intervention wholly unnecessary.
34
CONCLUSION
For the reasons given, the Petition should be denied.
Respectfully submitted,
ADAM J. GOMEZ
KELLY L. TUCKER
GRANT & EISENHOFER, P.A.
123 Justison Street
Wilmington, DE 19801
(302) 622-7000
JOSH AUTRY
Counsel of Record
MORGAN & MORGAN, PA
199 Water St
Suite 1500
New York, NY 10022
(859) 899-8785
jautry@forthepeople.com
STEPHEN EDWARDS
MORGAN & MORGAN, PA
2005 Market St
Suite 600
Philadelphia, PA 19103
(215) 446-9793
Counsel for Respondent
April 6, 2026
This is a copy of a public record, reproduced as it was published. It is not legal advice, and it may not be the version a court would rely on. Check the official source before you cite it.