A prime focus of the 2026 legislative session has been on the problem of fraud in social services programs. Absent the distraction (to put it mildly) of the ICE surge, the Republicans likely would have succeeded in making fraud the dominant session issue. This has an obvious political dimension: they hoped to ride it to electoral success in November. But it is clearly also a serious policy problem that needs to be addressed.1
Trump and the national Republicans have accommodated those efforts by making fraud in Minnesota programs a national issue. The Right-Wing media have reinforced that effort with a constant drumbeat of stories. The large dollar numbers (about $250 million) from the Feeding Our Future, COVID food assistance fraud, along with fraud in newer MA-funded programs for autism and housing assistance made Minnesota an easy target. Add to that, the former acting US Attorney threw out ridiculously large and speculative, at best, estimates ($9 billion) of additional fraud.2
I have no expertise in the workings and structures of social service programs, potential fraud in them, or how to reduce or minimize it. But as I watch the debate from the sidelines, my tax centric perspective may provide useful context, as well as an idea for detection/mitigation based on what works in the world of tax compliance.
Context: $ amount
Putting aside Joe Thompson’s numbers, reliable numbers (i.e., from court proceedings, charges, and so forth – not speculation or guesses) are well under $1 billion for Minnesota social service fraud (Strib came up with $218 million from court records back in December). As has been occasionally reported, Arizona had a series of related Medicaid fraud cases that were many multiples (>$2 billion), but it has not garnered anywhere the national attention.3
A billion dollars in fraud is large (to say the least), but to provide useful context federal tax evasion cases involving owners of one closely held obscure company, Vista Equity Partners that provides software to auto dealers, likely also defrauded taxpayers of an equal or potentially larger amount:
- The IRS charged the principal owner, Robert T. Brockman, with fraudulently failing to report $2 billion in income.
- Brockman died before the criminal case could be tried, but his estate settled with the IRS, paying $750 million in taxes and interest in December 2025.
- The company’s CFO and another founder of the company, Robert Smith, settled with DOJ agreeing to pay $139 million in back taxes and penalties, as well as abandoning a refund claim for $182 million. His case led to the Brockman case.
It’s very easy to infer that taxpayer losses equaled or exceeded a billion or close to it from tax fraud by those two owners of Vista Equity. This attracted minimal public attention beyond the financial press and the tax world.
The cases were brought and settled during the Trump administrations. Beyond putting out the usual DOJ press releases, they did not make a big deal about it. Instead, they have been systematically dismantling and hobbling the IRS, the agency that fights tax fraud.
Moreover, Trump has pardoned a significant number of the perpetrators of tax fraud.4 An AI search turned up a list of notable pardons for tax crimes including these examples:5
- Todd and Julie Chrisley: The reality TV stars were pardoned for convictions including bank fraud and tax evasion related to a $30 million loan scheme and failure to file tax returns.
- Michael Grimm: A former Republican Congressman pardoned after pleading guilty to tax fraud for underreporting $900,000 in restaurant revenue.
- Paul Walczak: A Florida businessman pardoned after pleading guilty to willful failure to pay over $10 million in federal taxes.
- Jeremy Hutchinson: A former Arkansas state senator pardoned following convictions for bribery and tax fraud, specifically filing false tax returns.
- Joseph Schwartz: A nursing home executive pardoned after pleading guilty to a $38 million Medicaid and tax fraud scheme.
- Charles Kushner: Pardoned for convictions including assisting in the filing of false tax returns.
- Paul Pogue: Pardoned after pleading guilty to underpaying taxes by more than $400,000.
- Albert J. Pirro Jr.: Pardoned for conspiracy and four counts of tax evasion.
There is a basic asymmetry in the administration’s, and more broadly the public’s, perception of tax fraud as a lesser evil than bilking direct spending programs. (Note that some of these cases did not exclusively involve tax fraud.) This probably has something to do with the psychology of loss aversion – failing to pay taxes you owe simply is not as bad as defrauding direct spending programs. But money is money and committing tax fraud is not economically or financially different than fraudulently getting a government grant-in-aid – in terms of its effects on the federal fisc and taxpayers. That is why loss aversion is a fallacy.
It also demonstrates the administration’s hypocrisy and political opportunism. This isn’t about the integrity or the cost of government programs. It’s politics.
Context: tax system social welfare benefits
Federal and state governments increasingly have turned to the tax system to deliver social welfare benefits. This is typically done through refundable tax credits, such as the earned income tax credit (EITC), child tax credit (CTC), working family credit, dependent care credit, and so forth. Many billions of dollars of benefits are delivered through the tax system. For example, the tax expenditure for the EITC is about 2X the outlays for TANF, the main direct spending federal welfare program (income support, rather than in-kind benefits like SNAP and Medicaid).
The policy/political thinking behind the refundable tax credit approach has several rationales. It takes advantage of the existing tax system infrastructure, is cheaper and less intrusive, delivers benefits with less social stigma, is better suited to encouraging or requiring work as a condition of benefits, and so forth. So, there are some definite advantages but also drawbacks; neither is the point I want to make.
This system relies on the recipients themselves to determine whether they are eligible and to claim benefits. That often means private advisors (tax preparers) effectively function as the social workers administering the programs because the recipients consider themselves unable (often correctly) to navigate applying the rules and filing the necessary returns. Tax preparers are only lightly overseen by the IRS and state tax administrators.6
The Center for Taxpayers Rights recently published an excellent study on non-credentialed tax preparers, specifically how accurately they claimed the EITC and CTC on behalf of their low-income clients. They did this by mystery shopping – i.e., having returns prepared and seeing how well a series of non-credentialed preparers complied with the law.7 The results were not pretty. They found:
Non-Credentialed Preparers … did not understand basic aspects of filing status, refundable and other credit requirements, cash income reporting, and deductible business and home office expense rules.
Of the 28 returns that they had successfully prepared claiming social welfare type benefits (EITC, CTC, etc.), only 2 were correctly filed. The wrongly claimed refunds varied widely, both too and high and too low, but more often too high. (No surprise – that’s what market economics would predict.) The amounts were, in some cases, large (e.g., $9k). Some of the reporting behavior pretty clearly was intentional or negligent overclaiming.
The scenarios presented were not easy (to say the least). Putting it in academic terms, they were difficult exam questions. But that is often the case in the real world, where unmarried couples live together and raise children who often also have other parents. The credit rules are complex and not easy to apply in those circumstances. It illustrates both the difficulty of using the tax system to deliver these types of benefits and how open that is to mis-claiming, if not outright fraud. On a systemwide basis, the erroneous and fraudulent amounts are undoubtedly large, and the IRS and state tax authorities are woefully understaffed to address the problem.
The whole piece is worth reading. Low-income sole proprietor returns were no better and probably were worse. Low-income recipients pay a material amount for these tax preparation services and over 60% used paid preparers or purchased software (about half of those used non-credentialled preparers).
The policy point is that federal and state money could be saved and fraud reduced by better education and regulation of preparers. It’s not obvious to me that the return on investment (ROI) on efforts along those lines would not be higher than attempts to reduce fraud in direct spending social welfare programs. It’s simply less eye-catching and glitzy.
Tax compliance insights
Again, I have no expertise in social services or health care programs. Nevertheless, I’ll venture to suggest a tactic for fraud detection or mitigation, based on tax compliance rubrics. (The more obvious approaches that should be pursued first have been widely discussed: replace the creaky old IT systems, improve management, invest in human capital, etc., all of which make sense but are outside my expertise.)
A core insight from the tax world is that compliance materially rises when critical data is reported to the government by trusted third parties. For example, 1099 reporting of interests and dividends by financial institutions result in >93% compliance, while the overall voluntary compliance rate is <85%. IRS Publication 5869 (Rev. 10-2024). It might be possible to apply that insight to develop a compliance-enhancing reporting features for some Medicaid funded programs.
I’m thinking of programs where nontraditional entities (i.e., other than classic, regulated health care providers like hospitals, nursing homes, and clinics) need to use employees to provide services, like home health care, personal care attendant, long-term care, or autism services, to individuals covered by MA, Minnesota Medicaid program. Many accounts suggest that these types of programs have high potential for fraud.
Based on media stories, one pattern of fraud by these types of entities goes like this:
- Fraudsters establish an entity (a nonprofit corporation or for-profit entity like an LLC) to provide the funded services. The entity applies for funding, representing it will provide services to eligible individuals and receives approval.
- Entity finds or recruits eligible individuals (family members, friends, individuals taking kickbacks, etc.) who it uses to claim reimbursement for services that it asserts to have provided but doesn’t actually provide.
- State reimbursements are diverted to the founders’ bank accounts and used for lavish lifestyle purchases, unrelated investments, gambling, foreign remittances, etc. rather than to provide services.
A variant is a legitimate service providing organization and the owners or managers cross over to the dark side and claim sizable reimbursement for services never provided. The owners again divert the money to their own uses, rather than paying employees who take care of MA enrollees.
A key commonality is that MA reimbursements are going to the fraudsters personally, not being used to pay employees to take care of, provide therapy, or other services to elderly, disabled, or autistic MA recipients. The key question is: can trusted third-party reporting be used to reveal that failure? The failure is not actually paying employees at a level necessary to deliver the services purported to be provided.
A natural first response would be to have the MA recipients certify and regularly report on whether and/or how often they receive services. (Maybe this is already done or is being proposed – again, my ignorance is on display.) However, that type of reporting may be unreliable for a variety of reasons – in the worst case, the recipients are complicit in the fraud (b/c they’re friends or family, are receiving kickbacks, etc.) or more generally, their incentives are not properly aligned. They may feel compelled to stay on the good side of their providers if alternatives for them to get services are scare. In short, recipients may not be trusted third-party reporters for those reasons.
The solution that occurs to me: focus on whether wages are being paid to employees. It should be feasible to set a minimum percentage of MA reimbursement, based on the type of service (personal care attendant, autism therapy or whatever.), that is typically paid in wages.8 If trusted third-party reporting reveals that the minimum levels of wages are not being paid, an audit or other investigation would be triggered.
Federal tax law requires employers to pay FICA and Medicare taxes quarterly or more frequently for their employees. These taxes are a fixed percentage of wages. The money must be paid over to the federal government. That is, it cannot be easily faked – the employer must provide social security numbers for the employees and pay the tax. In short, paying the tax and pocketing the net as fraud proceeds won’t be easy to do and ultimately would be uncovered. So, trusted third-party reporting of the payment of varying threshold amounts of federal payroll taxes would seem to be a good fraud backstop.
The gold standard would be to have the IRS report regularly on the amount of payroll tax paid by the MA provider. Providers could be required to authorize disclosure of their tax information by the IRS (i.e., waiving their confidentiality rights). But even with that, a federal statutory change would be required to permit the IRS to disclose this information to the state. Obtaining a federal law change might be a bridge too far, even when the hyperfocus by Republicans nationally on fixing fraud in social service programs. The administration’s push to use IRS data for immigration enforcement would seem to be a good argument for a more targeted use in this context. But getting anything through a polarized and gridlocked Congress is a heavy lift.
Another alternative would be to require payroll providers (most businesses use big independent firms like ADP or Paychex) to regularly report this information for MA providers to the state. The requirement that this reporting is done would be written in the MA providers’ contracts to qualify for MA reimbursement.
There are likely good reasons why something like this is not feasible, but it is the type of approach I would look at based on my tax related experience.
Notes
- What is unclear to me is whether the problem is worse in Minnesota than elsewhere in the country. I have seen no credible estimates – i.e., based on multistate analyses of reliable data – that Medicaid fraud is proportionately higher in Minnesota than nationally. What is clear is that the administration’s focus on Minnesota is political, not an evenhanded or neutral effort. Arizona, for example, has a larger documented Medicaid fraud case ($2.5 billion admitted by the state for one Medicaid funded program) that did not trigger a similar state-specific enforcement effort by the federal government. Arizona’s politics likely did not provide a sufficiently tempting political target, unlike Minnesota. The appropriate federal response is to treat this as a national problem that needs to be systematically and thoughtfully analyzed and addressed with forward-looking policy solutions, as well as backward-looking enforcement. Good luck with the folks in DC doing anything like that. ↩︎
- Only time will tell obviously if I’m right about my instinct that his $9 billion number is simply a wild guess, a generalization from abuse levels in one program to many. So far, no support has come out from the administration. That to me is damning, given their propensity to make up bogus stuff to support their political positions. If they had real evidence, they surely would be putting it out and it would be showing up in the Right-Wing media ecosystem in a steady stream. I do wish Thompson could be held responsible for what may have been fabulizing to gain favor with the WH. In my mind, this is contrary to the spirit of DOJ’s ethical guidelines as to how US Attorneys are to deal with the media. His $9 billion number is now routinely cited by responsible MSM outlets like the NY Times (always with qualifying adjectives like “reported” or “suggested” as in this Times article). That repetition gives credibility to and a false reality to the number. Many assume it is true when it is likely little more than a bad guess. ↩︎
- Acknowledged to be at least $2.5 billion by the Arizona authorities. ↩︎
- Trump has pardoned many regular (i.e., non-tax) fraudsters, most of whom likely were tax chiselers as well. This NY Times article (3/19/2026) describes pardons of 70 individuals convicted of fraud, one of which involved $1.3 billion in Medicare and Medicaid funds. This ProPublica story describes one sorry example. The only logical conclusion is that his fixation on social service fraud in Minnesota is highly selective and fundamentally hypocritical. ↩︎
- I also did a quick search of the DOJ’s Office of Pardon Attorney’s database and turned up more cases of pardons for tax crimes that AI must not have considered “notable” – including Darryl Strawberry, the former Mets and St. Paul Saints baseball player who pled guilty to tax evasion. Go figure why he’s not notable to AI. ↩︎
- They are not licensed or explicitly regulated by the IRS, being only subject to civil and criminal penalties for violations. The IRS promulgated regulations that attempted to impose regulations, but its efforts were struck down in the Loving case by the DC Court of Appeals and not appealed to the Supreme Court. Minnesota has some additional legal rules that apply to preparers and provide enforcement authority to DOR. But they are not licensed or directly regulated in Minnesota. A few other states do that. ↩︎
- Most preparers are non-credentialed – i.e., they are not CPAs, licensed attorneys, or enrolled agents, just someone who hung out a shingle and are providing tax preparation services. They have gotten a PTIN from the IRS, but that’s it. ↩︎
- Adjustments would need to be made for firms that have revenues from material sources other than MA reimbursement or provide a variety of different types of MA services. There are likely a host of other technical details that would need to be worked out, which is surely an understatement. ↩︎


