Most Americans fear the IRS, but tax audits aren't random. The agency uses sophisticated data systems to flag returns that deviate from statistical norms. When Jordan Rosenfeld asked ChatGPT about audit triggers, the AI explained how automated scoring models like the Discriminant Function (DIF) compare taxpayer information against peer benchmarks to identify potential discrepancies.

Behind the scenes, the IRS processes millions of returns annually, but only a small fraction undergo manual review. Automated systems screen for red flags like unreported income, unusually large deductions, or questionable claims for refundable credits. The IRS also cross-references tax forms with information from employers, banks, and financial institutions to catch mismatches.

Refundable credits face particular scrutiny through the IRS Dependent Database (DDB), which targets claims for the Earned Income Tax Credit, Premium Tax Credit, and Child Tax Credit. These systems help the agency focus compliance efforts where errors are most common. Self-employed taxpayers and those with foreign accounts or cryptocurrency activity also face higher scrutiny.

Getting an audit notice doesn't mean wrongdoing. The IRS simply wants to verify accuracy. Taxpayers have rights to provide documentation and seek professional representation. For most filers, careful record-keeping and accurate reporting prevent unnecessary attention. The "IRS second look" is less mystery than mathematics.