Susan Gouinlock Presents on FCA Statistical Sampling at National Taxpayers Against Fraud Conference
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.
Advancing the Use of FCA Statistical Sampling
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.
Strategic Considerations in FCA Statistical Sampling
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.
Report Fraud at No Cost
If you have information about fraud involving federal or state programs, you may be eligible for whistleblower protections and financial rewards. Contact our office for a free, confidential consultation:
- Fill out our consultation form by clicking here.
- Email us at info@wilbanksgouinlock.com.
- Call (404) 842-1075, ext. 123 or 122.
This article is for informational purposes only and should not be considered legal advice.