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How Statistics Expert Witnesses Get Excluded Under Daubert — and How to Survive the Cross

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By John Mahoney · 2026-06-11 · For statistical & survey-methodology experts

Daubert is not a medicine problem. Under Kumho Tire and the 2023 amendment to Federal Rule of Evidence 702, the trial court's gatekeeping applies to every form of specialized testimony — statistics included. A 20-year study of 2,842 challenges to non-medical experts found that roughly half of those opinions were excluded or partially excluded, and the single most-cited reason was “unreliable methodology.”

The exclusion rarely happens in a written motion alone. It is built, piece by piece, in the deposition cross-examination — where opposing counsel walks a statistics expert into conceding scope, methodology, or an assumption that unravels the whole opinion. Here are the three traps, and how a prepared expert answers each one.

The three ways statistics experts lose ground

Scope: testifying outside your lane

The cross-examiner's question sounds simple:

Your analysis showed a significant disparity — but you didn't control for the obvious confounding variables, did you?

Why it works: Omitted-variable / failure-to-control is the statistician's exclusion driver. Show your controls and sensitivity.

A stronger answer: “I specified the model with the relevant controls, performed sensitivity analyses, and disclosed the variables and the limits of the available data.”

Methodology: the reliability attack

The cross-examiner's question sounds simple:

Your sample wasn't representative of the relevant population, was it?

Why it works: Methodology / sampling. Document the frame.

A stronger answer: “I drew the sample per accepted methodology to represent the relevant population and documented the sampling frame and any limits.”

Assumptions: the one premise that sinks the opinion

The cross-examiner's question sounds simple:

You assume your model's functional form is correct — but other specifications give different results, don't they?

Why it works: The model-specification assumption. Test alternatives and disclose sensitivity.

A stronger answer: “I justified the specification, tested reasonable alternatives, and disclosed the sensitivity rather than presenting a single result as definitive.”

How to prepare for the cross before you're sworn in

Every one of those traps is defeatable — but not by reading your report one more time. The experts who survive the cross have done three things:

Practice the cross for free

See an AI cross-examiner run on a statistics case, and try the live record search — no signup.

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