On October 3, 2018, Susan Gouinlock spoke at the annual Taxpayers Against Fraud (TAF) Conference in Washington, D.C., where she addressed the use of statistical sampling and extrapolation in nationwide False Claims Act (FCA) cases. Her presentation explored how these methods can effectively establish liability and quantify damages when dealing with large datasets and widespread fraud.
Susan’s presentation highlighted how FCA statistical sampling is increasingly relied upon in complex litigation where analyzing every claim individually is impractical. She outlined key legal precedents supporting its use, explained best practices for designing defensible sampling methodologies, and discussed how extrapolated data can withstand scrutiny in both settlement negotiations and trial.
Throughout the session, Susan emphasized the importance of working closely with data experts and statisticians early in the litigation process. Her insights underscored how thoughtful application of FCA statistical sampling can streamline discovery, bolster evidentiary support, and significantly impact case outcomes—particularly in nationwide schemes involving thousands of claims.
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