Any antitrust economist
Antitrust experts in the library
20 questions free with a firm emailAntitrust turns on the economists. The fight is the damages model: overcharge, cost pass-through, and class-wide impact
The case often lives or dies on the regression. Supreme Mind shows the methodology attack early: the specification the opposing economist will run, where it breaks under Daubert, and how common impact holds up under Comcast. In minutes, for $50 per simulation, before the model is served. For plaintiff class counsel, that is the defense economist’s attack on common impact before certification; for defense teams, the plaintiffs’ overcharge model before it is served.
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Close contested class certification fight · $300M single-damages overcharge. Both sides start at 50/50; “with” means that side prepares with Supreme Mind.
An estimate based on public research. Find out more about how we modeled this →
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The economists who decide antitrust cases (de-identified)
Antitrust runs through a handful of economist types. Each is a composite of public-record testimony, never a named individual.
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Each expert is a synthesis of how a class of antitrust economist testifies, grounded in a real cost pass-through on public FRED data and your own documents.
- Cost pass-through on public FRED input-cost series
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Read the brief itself
From the Lithium Ion Batteries run. Every citation opens the full opinion on CourtListener, which is where the run checked it before writing it down.
Likely Opinion
Predicted opinion in the expert's voiceThe plaintiffs' regression-based overcharge model is unreliable because it pools heterogeneous cylindrical-cell transactions without validating that assumption, producing an average overcharge figure that obscures a substantial share of class members who sustained zero or negative overcharges under corrected specifications. My critique does not require me to propose an alternative overcharge estimate; it demonstrates that the plaintiffs' model cannot establish common impact on a classwide basis.
My analysis applies standard econometric critique methodology: I examine the specification choices embedded in the plaintiffs' pooled regression, test the sensitivity of the overcharge estimate to those choices, and identify the share of class transactions that yield zero or negative damages under corrected assumptions. I do not offer an affirmative damages model of my own; my assignment is to evaluate whether the plaintiffs' model is capable of measuring a common overcharge across the class, and I conclude it is not.
Pooling across heterogeneous products inflates the average
The plaintiffs' pooled regression aggregates transactions across cylindrical cells that differ materially in chemistry, capacity, and form factor, and across a class period spanning more than a decade during which nominal cell prices fell sharply in a rapidly scaling industry. Pooling these transactions without validating the homogeneity assumption inflates the average overcharge and masks individual variation.
A substantial share of the class shows no injury under corrected assumptions
My event study finds that when I correct the plaintiffs' model for cost-elasticity assumptions applied outside the conspired input, a substantial share of class transactions yield zero or negative overcharges, indicating that a nontrivial portion of the proposed class was not injured by the alleged conspiracy under any economically defensible specification.
An average overcharge is not a showing of individual injury
The plaintiffs' model produces an average overcharge figure that does not translate into actual damages for individual class members; an aggregate or average estimate cannot substitute for a showing that each class member paid a supracompetitive price.
The model does not separate the cartel from the secular price decline
The plaintiffs' model does not adequately distinguish the effect of the alleged price-fixing from the secular price decline driven by rapid capacity expansion and technology improvement in the cylindrical-cell industry over the class period, a confounding factor that the regression must control for but does not isolate cleanly.
Legacy contract pricing generates false positives
My analysis identifies a false-positive problem: certain transactions priced under pre-conspiracy contractual formulas appear in the class data and generate apparent overcharges that are sections of the pricing formula rather than evidence of conspiracy impact, inflating the share of class members the model classifies as injured.
Reasoning arc
I begin from the observation that the plaintiffs' model is a pooled regression that assumes a common overcharge across all cylindrical-cell transactions in the class. That assumption does the heavy lifting in the common-impact analysis, and it is untested. Cylindrical cells are heterogeneous products sold under varied contractual arrangements over a period when industry prices were falling for reasons unrelated to any conspiracy. When I correct the model's cost-elasticity assumptions and account for transactions priced under pre-conspiracy formulas, the overcharge estimate is not robust: a meaningful share of transactions show zero or negative overcharges. That finding does not require me to name the correct overcharge; it is sufficient to show that the plaintiffs' model cannot reliably establish that all or nearly all class members were injured by a common method. The guilty pleas by two defendants establish that a conspiracy existed, but they do not establish the magnitude of the overcharge or that every direct purchaser paid a supracompetitive price on every transaction. The overcharge magnitude and common-impact questions remain genuinely contested, and the plaintiffs' model as specified cannot resolve them.
Caveats and limits, stated by the witness
The expert states its own vulnerabilities before opposing counsel does, which is what makes the cross-examination section that follows worth reading:
- My critique does not offer an alternative overcharge estimate or a but-for price series. I have not quantified what the overcharge would be under a correctly specified model, and I do not contend that the overcharge was zero.
- My finding that a substantial share of class members show zero or negative overcharges depends on my own corrections to the plaintiffs' model assumptions. If the court or a trier of fact accepts the plaintiffs' original specification, the uninjured-member count will differ.
- I have not run a formal Chow test or equivalent structural-break test to establish that pooling is statistically inappropriate; my pooling objection rests on economic reasoning and sensitivity analysis rather than a formal hypothesis test.
- Whether my critiques go to the admissibility of the plaintiffs' model or only to its weight at the certification hearing is a legal question for the court; I express no opinion on that question.
- The opinions I rely on for methodological benchmarks were decided before the December 1, 2023 amendment to Federal Rule of Evidence 702, which clarified that the proponent must establish admissibility by a preponderance of the evidence; their precedential weight on admissibility questions is therefore somewhat reduced.
The recorded output of a real run on the public record, in full. Citations open the passage the run relied on, checked against the opinion text on CourtListener.
See the full antitrust run →The four sections of a brief
Real screens from the In re Lithium Ion Batteries run (MDL 2420, N.D. Cal.), generated from the direct-purchaser complaint. Export to Word, a Daubert-motion skeleton, or a deposition outline from the same page.

The critique the defense cartel econometrician will offer, in their own voice, with the caveats they would state themselves: no alternative overcharge estimate, no formal pooling test.

Ranked weaknesses. Each carries the question to ask, the deflection to expect, and the pin question behind it, with the lineage of the finding shown.

Five Rule 702 fault lines, each tagged fit or reliability, each with the precedent that engaged it and the rebuttal to anticipate.

Low, point and high anchors against a damages base, with every driver priced and directional, and the uncertainty stated in the brief rather than buried.
Screens are from a worked public-record example case, which is why the product marks it as an example with a known outcome and offers to score itself against what actually happened.
Put him on the stand before the deposition
Doctor, did you run any regression of your own on the cylindrical-cell transaction data?
No. My assignment was to evaluate the plaintiffs' model, not to construct an alternative one.
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Antitrust experts, in the public record
Expert class library
- Cartel-overcharge damages economistPlaintiff side
- Plaintiff common-impact economistPlaintiff side
- Indirect-purchaser pass-through economistEither side
- Defense class-certification antitrust economistDefense side
- Market-definition economistEither side
- Exclusionary-conduct damages economistPlaintiff side
- Labor-market antitrust economistPlaintiff side
- Defense cartel econometricianDefense side