Pandemic Relief Fraud: How Speed and Weak Oversight Enabled the Scam of the Century

Crisis-driven speed sacrifices verification, creating an open bank window for fraudsters.

The CARES Act prohibited the SBA from reviewing tax-return data and the Treasury Do-Not-Pay list; applicants could simply self-certify eligibility.

Why: Urgency bias convinced policymakers that rapid disbursement outweighed the risk of fraud.

"if you open up the bank window and say, give me your application and just promise me that you really are who you say you are, you attract a lot of fraudsters, and that's what happened here"

Absolute loss grows with program size even when failure rates appear small.

A 1 % failure rate in the $837 billion IRS stimulus program still equals nearly $8 billion lost.

Why: Large denominators convert seemingly acceptable error rates into historically large dollar losses.

"that 1% failure rate equates to nearly $8 billion going to ineligible individuals"

Visible fraud without consequences normalizes cheating and increases future fraud.

University of Texas researchers found mis-reporting rose over time, peaking in the final month of PPP round three.

Why: Social proof lowers moral barriers when people observe others profiting illicitly.

"fraud appeared to grow over time as the programs were rolled out, possibly as people saw others cheating and getting away with it"

Agencies designed for routine workloads collapse when tasked with crisis-scale disbursement.

The SBA Inspector General now has an 80,000-case backlog requiring over 100 years to clear at normal speed.

Why: Fixed investigative bandwidth cannot scale linearly with exponentially larger program outlays.

"the SBA Inspector General's office is reported to have a backlog of more than 80,000 actionable fraud leads to investigate, an amount of work that would take over 100 years to process"

Multiple independent data checks catch fraud more effectively than single-point self-certification.

Traditional banks using standard lending procedures produced suspicious loans at one-sixth the rate of FinTech lenders who skipped verification.

Why: Redundant verification introduces friction that deters opportunistic fraud.

"loans issued by FinTech lenders were the most suspicious at a rate of over six times that for traditional lenders"

Weak oversight is a global phenomenon when governments copy rapid-disbursement models.

UK fraud and error in Covid loan schemes reached £16 billion; Australian, Japanese and Ecuadorian programs saw similar patterns.

Why: Institutional design flaws replicate across jurisdictions facing identical time pressure.

"Similar stories can be found in countries all around the world"

Perceived social acceptability lowers internal barriers to committing fraud.

Non-career criminals—including pastors, soldiers and former lawmakers—rationalized theft as acceptable during a national crisis.

Why: Emergency framing shifts moral reference points, making illegal acts feel like victimless crimes.

"folks kind of fooled themselves into thinking that it was a socially acceptable thing to do even though it wasn't legal"

Existing government databases can provide near-instant eligibility screening if accessed.

The Treasury Do-Not-Pay list flags debarred contractors, fugitives and felons; IRS tax data could have screened out ineligible businesses.

Why: Pre-crisis data infrastructure remains under-utilized when policy decisions exclude verification steps.

"it's a false narrative that has been set out that there were only two choices to get the money out right away or to spend weeks or months trying to figure out who was entitled to it... There was data sitting right there and it didn't get checked"