Experimenting With Our Children: Who Answers to the 18-Year-Old the Voucher Failed?

Back in January 2013, I wrote about three Kansas judges who saw right through the state’s claim that deep funding cuts would cause no harm. The Shawnee County District Court panel in Gannon v. State of Kansas (decision, p. 188) put it this way:

Simply, school opportunities do not repeat themselves and when the opportunity for a formal education passes, then for most, it is most likely gone. We all know that the struggle for an income very often – too often – overcomes the time needed to prepare intellectually for a better one.

If the position advanced here is the State’s full position, it is experimenting with our children which have no recourse from a failure of the experiment.

The Kansas experiment was a legislature cutting school budgets and betting that nobody would be hurt. That was bad enough. But at least in Kansas, the children were still in schools. There were still teachers, curricula, and test results that a court could look at.

A decade later, Arizona and Florida are running a different experiment. They hand public money to parents, place few limits on how it is spent, and ask almost nothing about whether the child learned anything. If that experiment fails for a particular child, who answers for it? Who does the 18-year-old sue?

The new experiment: money out, no questions asked

Arizona’s universal Empowerment Scholarship Account (ESA) program, expanded to all students in 2022, now serves more than 100,000 children and is expected to cost over $1 billion a year. Florida followed in 2023 with universal eligibility and a homeschool ESA, the Personalized Education Program (PEP), worth roughly $8,000 per child.

Consider what the statutes actually require of the parent. Under A.R.S. § 15-2402, the Arizona parent signs an agreement to use “a portion” of the money to provide instruction in reading, grammar, mathematics, social studies and science. That is the whole of the academic obligation. Then comes the remarkable part, subsection I: a signed agreement “constitutes school attendance” for purposes of the state’s compulsory attendance law. The contract is the education, as far as the state is concerned.

There is no testing requirement for ESA students in Arizona, no curriculum approval, no portfolio, and no evaluator. Even homeschool guides that are friendly to the program say so plainly. The state checks receipts, not learning.

Florida asks slightly more. PEP families must submit a student learning plan and have the child take a nationally norm-referenced test each year, with results sent to the scholarship funding organization (FLDOE PEP FAQ; Step Up PEP Family Handbook). But what triggers loss of funding is failing to take and submit the test, not the score. A child can test at a first-grade level in tenth grade and the money keeps flowing.

That is the experiment. The state funds the choice, defines the choice as compliance, and measures nothing that would tell anyone whether the child is learning.

What the money has bought

Reporters in both states have spent three years documenting what this money buys. Some of it was approved under the rules. Some was flagged as improper only after the fact. All of it was spent from accounts that exist, by law, to educate a child.

StateWhat was boughtAllowed or flagged?Source
ArizonaDisney parks, Disney stores and Disney+ subscriptions — at least $21,000 across 100+ accounts; trip-related expenses in 44 states and 13 countriesDisney and personal travel are not allowed; spent anyway12News
ArizonaA one-carat diamond necklace, lingerie, jet ski rentals, gaming consoles, a designer purse, Air Jordans — among ~84,000 flagged purchases, Dec. 2024–Oct. 2025Flagged “unallowed” by the state’s own auditABC15
ArizonaA $7,500 gaming PC, $2,000 in Roblox currency, $2,000 in Visa gift cards, and $73,000 parents paid themselves to tutor their own kidsFlagged; $9.1 million total in questioned spendingABC15
ArizonaBroadway shows (some tied to New York trips), Disney on Ice, Harlem GlobetrottersEvent tickets largely allowed12News
Arizona100+ Arizona Snowbowl ski passes (~$19,000), a ~$4,000 piano, freeze-dryers, tower gardens, ninja-warrior gyms and trampoline parksLargely approved; the state called the piano allowableABC15; Arizona Republic
ArizonaKayaks, espresso machines, high-end LEGO sets (at least $7.2 million in LEGO overall)Allowed as “supplemental materials” until the AG intervened12News
FloridaTheme park admission (Disney World, SeaWorld, Universal, Legoland), TVs up to 55 inches, paddleboards, kayaks, surfboards, treadmillsExplicitly allowed in the purchasing guideTampa Bay Times; Orlando Weekly
FloridaSwing sets, foosball and air hockey tables, trampolines, dolls, stuffed animals; parents in private groups planning an $800 LEGO set as a Christmas giftAllowed items; the gift use was parents’ own descriptionPopular Information

In fairness to the programs’ defenders, Arizona’s education department maintains that most purchases are valid and that misspending is a small share of the total. Florida’s administrator, Step Up For Students, requires a statement of educational benefit for theme park tickets and caps them at $500 a year (WFTV). When Florida legislators tried to tighten the list in 2024, families lobbied against it and the restrictions failed.

But “small share” is the wrong frame. Arizona auto-approved purchases under $2,000 — over a million requests and $124 million — to clear a backlog, with plans to audit later. Of 18,000 parents flagged for $10.3 million in banned purchases, only six were referred for prosecution. And every audit is an audit of purchases. None asks the only question that matters to the child: was anyone teaching me to read?

The legal question: who does the 18-year-old sue?

Imagine a young woman turning 18 in Phoenix or Orlando. For a decade, her ESA paid for theme park passes, a television, a trampoline and a lot of LEGO. Nobody ever taught her to read beyond a primer. She has no transcript and no diploma. The state that funded all of it called her “in attendance” the entire time. What are her options?

I’m not a lawyer, and what follows is a policy researcher’s tour of the doctrinal terrain, not legal advice. But the terrain is not encouraging.

1. Sue the parent. Arizona abolished parental immunity in Broadbent v. Broadbent (1995), replacing it with a “reasonable and prudent parent” standard. Florida has never gone that far. So in Arizona, at least, a negligence claim against a parent is not barred at the door. But she would then run into the doctrine of educational malpractice. Since Peter W. v. San Francisco Unified School District (1976), courts have refused to recognize a duty of care for academic outcomes. They cite the lack of a workable standard of care, uncertain causation, and the burden on schools. If courts won’t hold trained, licensed educators to a duty to teach a child to read, a court is unlikely to impose one on a parent the legislature expressly freed from any measurable standard.

A narrower theory may be stronger: misappropriation. The Arizona statute says ESA money may be used “only” for the expenses of the qualified student. A diamond necklace or a family Disneyland trip is not that. A custodial-account or constructive-trust theory, treating the parent as having diverted money held for the child’s benefit, at least fits the facts. But that recovers the misspent dollars, not the lost education. And a judgment against a parent with no assets is worth little.

2. Sue the vendor. The private school, the online program, the tutoring center or the “ESA-approved” camp are private actors. A contract or consumer-fraud claim might reach a vendor that took money and delivered nothing. But a vendor that delivered exactly what was purchased (a ski pass, a paddleboard) did nothing wrong. And educational malpractice bars claims that the instruction itself was inadequate.

3. Sue the state, under the federal Constitution. This is where the Kansas panel’s warning bites hardest. San Antonio v. Rodriguez (1973) held there is no fundamental federal right to education. DeShaney v. Winnebago County (1989) held the Due Process Clause generally imposes no duty on the state to protect a child from harm inflicted by a private actor, including a parent. The one federal appellate ruling to recognize a right to a basic minimum education, Gary B. v. Whitmer (6th Cir. 2020), was vacated when the full court took it up after the case settled. She might argue that the state created the danger by funding the deprivation and deeming it lawful attendance. That theory is untested in this setting.

4. Sue the state, under the state constitution. Both states have education clauses. Florida’s is among the strongest in the country, declaring education a “paramount duty” and requiring a “high quality system of free public schools.” In Bush v. Holmes (2006), the Florida Supreme Court struck down a voucher program for diverting public funds to private schools outside that uniform system. But in Citizens for Strong Schools v. State Board of Education (2019), a divided court held that “high quality” offered no judicially manageable standard. More fundamentally, state adequacy litigation produces prospective, system-wide remedies. It is not a damages action for an individual who already aged out.

5. Ask the state to step in. Ordinarily, a child receiving no education might trigger truancy enforcement or an educational neglect inquiry. In Arizona, that door is closed by statute: the signed ESA agreement constitutes school attendance under § 15-2402(I). When the state does catch misspending, its remedy is to suspend the account or send it to collections. Any money recovered goes back to the state, not to the child whose education it was meant to buy.

So the honest answer to the legal question is: almost none. The 18-year-old is, in the Kansas panel’s words, a subject of an experiment with no recourse from its failure. The difference is that in Kansas, the state was cutting the budget of institutions still obligated to teach her. In Arizona and Florida, the state has written itself out of that obligation and handed the obligation, and the money, to someone the law does not hold to any measurable standard.

Tallying the damages

If she could get into court, what would she claim? The Kansas panel named the core harm: the opportunity does not repeat itself, and for most people, once it passes, it is gone. The U.S. Supreme Court said much the same in Plyler v. Doe (1982): the inability to read and write “will handicap the individual deprived of a basic education each and every day of his life.”

Start with what can be counted. Using 2025 Bureau of Labor Statistics data on earnings by educational attainment (full-time workers, age 25+):

Highest attainmentMedian weekly earningsAnnual (×52)Annual gap vs. no diplomaGap over a 40-year career (undiscounted)Unemployment rate
Less than high school diploma$770$40,040——6.1%
High school diploma$966$50,232$10,192~$408,0004.3%
Some college, no degree$1,062$55,224$15,184~$607,0003.8%
Bachelor’s degree$1,578$82,056$42,016~$1.68 million2.8%

These figures understate her loss. The “less than high school” group includes people with ten or eleven years of real schooling who can read, write and do arithmetic. She has none of that. And the earnings figures cover only those working full time. Her higher odds of unemployment, part-time work and no work at all are not in the table.

Then add what is harder to price:

  • No credential. Without a recognized diploma or transcript, she must first earn an equivalency credential before she can enroll in most colleges or apprenticeships. That means years of remedial work as an adult, while also trying to earn a living, exactly the trap the Kansas panel described.
  • Foreclosed paths. Military enlistment, many licensed trades, and most postsecondary programs screen on a diploma or basic skills she does not have.
  • Lost literacy and numeracy. Learning to read as an adult is possible but far harder, and adult literacy services are thinly funded.
  • Civic and personal costs. Reading a lease, a ballot, a prescription label or a court notice.
  • The money itself. At roughly $7,000–$10,000 a year in Arizona and about $8,000 in Florida, a K–12 career in the program represents on the order of $100,000 in public funds spent in her name. Whatever went to theme parks and televisions was money the state set aside for her education and allowed someone else to spend.

And under the current statutes, the state has no obligation to notice any of this until she shows up, at 18 or 25, needing an adult education program that the same legislatures have every incentive to underfund.

Closing: whose choice?

Voucher advocates frame all of this as parental choice, and most parents in these programs surely are trying to educate their kids. But a choice program that funds a parent’s decision, defines that decision as legal attendance, and never checks whether the child learned anything has made a choice of its own. It has chosen not to know.

The Kansas judges understood that the burden of a failed policy experiment falls on the children, who did not consent to it and cannot undo it. Arizona and Florida have built that lesson into statute in reverse. If the experiment fails a particular child, the law offers her almost nothing: no duty anyone owed, no standard anyone missed, no defendant she can realistically sue.

At a minimum, a state that funds a child’s education should be able to tell that child, at 18, what it bought. Right now, Arizona can tell her how much it spent at Disneyland.

Policy brief

The full policy brief, No Recourse: Universal Education Savings Accounts, Public Money, and the Students They Leave Uneducated, includes a side-by-side comparison of the Arizona and Florida program requirements and six recommendations for legislators.

Efficiently Mediocre: Why Measuring School Efficiency Requires Measuring Cost

Or: how to be highly efficient at producing mediocre outcomes, and why your scatterplot of spending and test scores is lying to you.

Every few months someone rediscovers the same chart. Per-pupil spending on one axis, test scores on the other, a shapeless cloud of dots, and a headline that writes itself: We spend more than ever and get nothing for it. Money doesn’t matter. Schools have an efficiency problem. Cue the think-tank panel, the op-ed and the legislator who wants to “hold the line” on school funding.

That chart is not just lazy. It is wrong in a way that points policy in exactly the wrong direction. And the reason is a word the people who make it rarely bother to define: cost.

First, some definitions (yes, again)

I’ve been through this before, but since the lesson apparently hasn’t landed, here are the four terms that get mashed together in nearly every “school efficiency” argument:

  • Productivity is what the system produces: the level of student outcomes. More learning, higher outcomes, more productive.
  • Spending is what districts actually spend, whatever it buys and whatever the result.
  • Cost is the minimum amount that would have to be spent to achieve a given level of outcomes, given the students a district serves and the conditions it operates in (labor markets, scale, poverty, disability, language needs).
  • Efficiency is the gap between the two. Spending minus inefficiency equals cost. An efficient district gets the most outcome it can out of what it has, or spends no more than it needs to for the outcomes it gets.

Notice what that last definition requires. You cannot say a district is wasting money unless you know what its outcomes should cost. Efficiency is a statement about spending relative to cost. No cost estimate, no efficiency claim. Full stop.

Back in 2012 I used a car-buying analogy for this: you want an Escalade and you’ve budgeted $25,000. Nobody would call the dealer “inefficient” for failing to sell it to you at that price. The Escalade costs what it costs. Educating a district full of kids in deep poverty, many still learning English, in a high-wage labor market, costs what it costs too. Pretending it costs the same as educating kids in a wealthy suburb is not rigor. It’s just wrong.

Efficiency is not productivity

Here’s the part that tends to get lost. Efficiency and productivity are different things, and they can point in opposite directions:

  • You can be highly efficient at producing low outcomes. Spend next to nothing, get outcomes about as good as next to nothing buys, and congratulations: you’re efficient. Your kids are still behind.
  • You can be highly productive without being especially efficient. Spend a lot, get well above-average outcomes, fall somewhat short of the best that level of spending could buy. Less efficient. Much better outcomes.

If your policy goal is “kids learn more,” the second is the better place to be. An efficiency ranking alone won’t tell you that. An efficiency ranking with no cost adjustment won’t tell you anything at all.

Why the spending-and-scores chart is garbage

Here’s the chart the money-doesn’t-matter crowd loves, built from real data: 8,000+ districts in 38 states, 2022–2024, with outcomes from nationally normed grade 6–8 reading and math assessments. On the left, per-pupil spending against outcomes. Flat. Slightly negative, even (r = −0.08). Money doesn’t matter!

Two scatterplots of district outcomes, 2022–2024: flat against raw per-pupil spending (r = −0.08), strongly positive against spending relative to cost (r = +0.59).
Same districts, same test scores. Left: raw spending. Right: spending relative to the cost of national-average outcomes.

On the right, the exact same districts and the exact same test scores, but spending is expressed relative to what it would cost each district to reach national-average outcomes, given its students and circumstances (from the National Education Cost Model). Now the correlation is about +0.6. Districts with more resources relative to need get substantially better outcomes. Same data. Opposite conclusion.

What happened? The districts that spend more are, on average, the ones serving higher-need kids in higher-cost settings. They do spend more, just nowhere near enough more. The highest-cost fifth of districts spends about $16,700 per pupil against $13,900 in the lowest-cost fifth. But reaching average outcomes would take about $25,200 per pupil in the former and $11,100 in the latter. The high-spending, low-scoring districts aren’t squandering riches. They’re underfunded relative to what their kids need, and it shows.

Now think about what the sloppy chart tells a legislator: those high-spending districts with low scores are the “inefficient” ones, so cut them, or at least stop adding money. That is precisely backwards. It takes the districts that are furthest behind their cost targets and labels them wasteful. That’s not an analytical quirk. It’s a policy recommendation to take money away from the kids who need it most, dressed up as fiscal responsibility.

So what does it look like when you do it right?

In a new brief (full PDF here), I estimate a stochastic frontier model of district efficiency using the National Education Cost Model: roughly 129,000 district-years for about 8,100 districts in 38 states, 2009–2024. The frontier is the best outcome achievable at a given level of spending relative to cost. Each district’s efficiency is its distance from that frontier, expressed as the share of its current resources a fully efficient district would need to reach the same outcomes. I estimate it with and without state fixed effects, because (more on this below) comparing test scores across states is its own can of worms.

The headline findings:

  • Money matters, with diminishing returns. A 10 percent increase in resources relative to cost raises frontier outcomes by about 0.07 SD nationally, and about 0.09 SD when comparing districts within the same state. That’s not nothing. It’s a lot.
  • Most districts are about equally efficient. The median district operates at about 86 percent efficiency, and nearly three-quarters of district-years fall between 80 and 90 percent. There is a long lower tail, but there’s no evidence here of a system drowning in waste.
  • The tail has been growing, and it’s growing within states. The share of districts below 80 percent efficiency doubled, from 11 percent in 2011 to 22 percent in 2024, and the pattern is the same when districts are compared only with others in their own state.
  • The “bloated administration” story is tiny. Within their own states, the least efficient districts are more heavily staffed across the board, with more teachers, more aides and more administrators, and they are also smaller and higher-cost. The general administration gap between the most and least efficient districts works out to something like $80–100 per pupil. Anyone promising to close achievement gaps by trimming the central office is selling something.

Florida is efficient. New Jersey is better.

Rank states by average efficiency and you get Idaho, North Carolina, Utah, Florida and Georgia at the top, with Rhode Island, West Virginia, Connecticut, Wyoming and New Jersey at the bottom. Cue the triumphant op-ed about Florida.

Except that across states, average efficiency has essentially zero correlation with average outcomes (r = 0.00). What it does correlate with, strongly, is spending little relative to cost (r = −0.70). The state efficiency ranking is mostly a ranking of how little states spend.

State mean outcomes against spending relative to cost, with the efficiency frontier.
States near the solid line are efficient. States higher up are more productive. Not the same states.
  • Florida, North Carolina, Georgia and Texas spend 67–78 percent of what national-average outcomes would cost them, sit close to the frontier, and produce below-average outcomes. They are efficient at producing relatively low outcomes.
  • Mississippi is the reductio ad absurdum: it spends 58 percent of cost, ranks 37th of 38 on outcomes, and ranks 7th on efficiency. Very efficient. Very behind.
  • Massachusetts, New Jersey and Connecticut spend 50–70 percent above cost and rank 1st, 4th and 7th on outcomes, but 28th, 34th and 36th on efficiency.

New Jersey spends about twice what Florida does per pupil ($19,124 against $9,636 on average over the period), and its students score about 0.20 SD higher. Less efficient? By this measure, sure. But that extra money buys substantially better outcomes. Which would you rather have: Florida’s efficiency or New Jersey’s results?

Is New Jersey’s “inefficiency” just a functional-form artifact? Fair question. Diminishing returns, right? If the frontier flattens out at high spending faster than my log curve allows, it would overstate what New Jersey’s money could buy and make New Jersey look worse than it is. So I checked. The log frontier fits fine all the way up the spending range, including where the data are mostly New Jersey, Connecticut and Massachusetts districts. Quadratic, cubic and spline frontiers trace nearly the same curve, and if anything bend slightly up at the high end. And within states, the payoff to spending relative to cost is steeper, not flatter, in the high spenders: about 1.2 in New Jersey, Connecticut and Massachusetts, against 0.44 in Florida and 0.70 in Texas. New Jersey’s districts simply sit about 0.3 SD below the national frontier across the board. That’s a level shift, not a bend, and it’s exactly what state fixed effects soak up. Once they do, New Jersey (0.905) and Florida (0.917) are about equally efficient. Which brings us to the next problem.

A necessary caveat about test scores across states

The outcome measure here comes from the Stanford Education Data Archive (SEDA), which takes each state’s own reading and math tests and puts them on a common, nationally normed scale. SEDA covers grades 3 through 8, but I use only grades 6 through 8, and on purpose. Middle-grades scores better capture the cumulative effects of state and local education systems: what kids actually know after years in those schools. Some states have particularly inflated early-grade scores, for a variety of reasons, and those scores drop dramatically by grade 8. Lean on grades 3–5 and you reward states for looking good early rather than for what their systems deliver over time. Even so, SEDA can only do so much. Many states have adopted common assessments, but the tests still differ across states and are reported on different scales, and states report spending under different accounting rules. It’s impossible to fully equate these measures across states. So a sizable share of the differences between states, on both the outcome side and the spending side, may be measurement error.

That’s why the brief also estimates everything within states. Once you do, state effects soak up nearly all of the state rankings: the share of variance in efficiency between states drops from about 20 percent to 1 percent. The frontier gets steeper, not flatter, which is what you’d expect if cross-state measurement noise was hiding the payoff to money. And the within-state picture is the one I’d trust for judging districts.

Which is, by the way, one more reason to be skeptical of anyone who throws all fifty states onto one spending-and-scores chart and calls it a finding. They’re stacking measurement error on top of the missing cost adjustment.

The bottom line

  • No cost, no efficiency. Any claim about school “efficiency” that doesn’t account for what outcomes cost for the kids actually being served isn’t an efficiency claim. It’s a spending claim with an agenda attached.
  • Efficient isn’t the same as good. Being efficient at producing low outcomes is still producing low outcomes.
  • Sloppy analysis isn’t harmless. A spending-versus-scores chart systematically labels the most underfunded, highest-need districts as wasteful. Policy built on it takes money from the kids who need it most.
  • Money matters. Measured properly, more resources relative to cost buy better outcomes, and the states that spend more get more, even when they don’t spend it perfectly.

The full brief, with methods, state tables and the staffing and spending comparisons, is here: Technical Efficiency in Producing Educational Outcomes: A Stochastic Frontier Analysis Using the National Education Cost Model (PDF).

Seventeen Years of Roza-Tinted Glasses

Swimlane timeline, 2009–2026, of my critiques of Roza, ERS/Hawley Miles, and Edunomics Lab, plus my WSF scholarship

My critiques of Marguerite Roza, the Edunomics Lab, and Education Resource Strategies — with receipts. Every quotation is verbatim from the linked post or article.

24
blog entries, Aug 2009 – Aug 2026 (and counting)
21
taking on Roza, from CRPE to Gates to Georgetown
4
taking on ERS or Karen Hawley Miles
3
on Edunomics graphs, so far

The short version

I’ve spent an embarrassing share of my career, seventeen years and counting, cleaning up after Marguerite Roza. It has come in two waves. The first ran from 2009 to 2014, when she was at the Center on Reinventing Public Education (CRPE) and then advising the Gates Foundation, and her work was all over the federal policy conversation. The second started in 2025, when the Edunomics Lab she now runs at Georgetown began handing state policymakers graphs so bad I made a video about them. Education Resource Strategies (ERS) comes up less often, but it keeps turning up in the same places. Its founder, Karen Hawley Miles, co-wrote the Houston/Cincinnati weighted student funding (WSF) “success story” with Roza. Stephen Frank presented ERS slides alongside Roza’s fabricated graph at the 2011 Regents symposium. And ERS graded Baltimore’s Fair Student Funding against Baltimore’s own formula.

It comes down to the same four problems, over and over:

  • Blame the districts. The claim goes like this: states have fixed between-district inequity, so the problem left is within districts, and weighted student funding fixes that. The evidence for that sweeping national claim turns out to be “one or a handful of deeply flawed analyses,” mostly Roza’s Texas Weighted Student Index study. That study checks schools against the district’s own spending priorities, not against what kids actually need.
  • Productivity without the arithmetic. Stretching the School Dollar, Curing Baumol’s Disease, and the USDOE productivity page that showcased them offer spending cuts relabeled as “cost savings,” without a single cost-effectiveness analysis. Hank Levin laid out how to do one back in 1983. It isn’t a secret.
  • Evidence that was simply made up. Roza’s 2011 “productivity curve” had no data, no definitions and no connection to anything real. Researchers in the room said the claims were “simply made up.” ERS’s contribution at the same event: all teacher pay above the starting salary is waste.
  • Money-doesn’t-matter graphics. Edunomics’ long-term trend graphs start the clock in 2013, the one year that all but guarantees spending up and scores down, then skip the cost adjustment and stretch the axes. Their scatterplots throw every school onto one chart with no cost adjustment and call the resulting cloud a finding.

Yes, my tone has changed. In 2011 I called this work “methodologically flimsy” and “hack research.” By 2025 I was calling it “intentionally deceitful,” and I stand by that. Once you’ve been told, repeatedly and in public, exactly why a graph misleads, and you keep putting it in front of legislators anyway, “sloppy” stops being the right word. As I put it on Bluesky: “for anyone still using this kind of garbage, you’ve been on notice for years.”

The peer-reviewed version is politer, but it says the same thing. I’ve never said within-district inequity isn’t real. It is. What I have said, with data (EPAA, 2009), is that the WSF showcase districts were no more responsive to student need than districts without WSF. WSF was sold on advocacy research that “identifies the politically motivated solution then seeks to prove that it works.” And you can’t fix a district its state has starved by rearranging what’s left inside it. My 2013 NEPC review gave ERS’s Baltimore analysis the same treatment: grading a formula against itself isn’t an equity analysis. It’s a tautology.

The timeline, at a glance

Swimlane timeline, 2009–2026, of my critiques of Roza, ERS/Hawley Miles, and Edunomics Lab, plus my WSF scholarship
Each dot is a blog post, Bluesky thread, or article, placed by date. The shaded years, 2018–2024, were a brief reprieve with no new critiques. Posts that hit more than one target appear in each relevant lane.

The receipts, post by post

Who’s in the crosshairs: 🟦 Roza · 🟩 ERS / Hawley Miles · 🟧 Edunomics Lab. Titles link to the original posts, so you can check my work (unlike some people’s).


2009–2010: The “it’s the districts’ fault” era

Aug 29, 2009 — Ed Trust, DFER and Center for American Progress misguided

🟦 Roza

My opening shot. Ed Trust, CAP and DFER were busy announcing that states had basically fixed between-district inequity and that the real villains were districts shuffling money between their own schools. Follow the footnotes and they all end up at Marguerite Roza and CRPE.

What I said:

“Okay, so this is just Baker, a school finance techie geek bitching and moaning about trivial statistical problems with research largely conducted by Marguerite Roza and colleagues at the Center for Reinventing Public Education and the reliance of CAP, DFER and Ed Trust on that work. Perhaps – BUT – we are talking about billions of dollars here.”

“State school finance systems – not Title I and not district allocation policies – are the primary underlying cause of resource disparity across children in public schools”

Apr 5, 2010 — Ed Trust Getting Loopy Again

🟦 Roza

Ed Trust again, this time leaning on Roza’s New York City “shock” comparisons. This is where I first take apart the Roza & Hill line that sets a $4,000 average gap next to a $10,000 within-city extreme. That apples-to-oranges comparison became my go-to example of how not to compare numbers.

What I said:

“The use of New York City anecdotes to illustrate supposed major national policy concerns, in this case by authors Daria Hall and Natasha Ushomirsky piggy-backs on similar “shock” comparisons used in op-eds by Marguerite Roza – an author cited by the Hall/Ushomirsky brief.”

“Note the rather misleading apples-and-oranges issue. They are comparing the average in one case to the extremes in another.”

Also quoted in the post:

“So, the real problem is not that New York City spends some $4,000 less per pupil than Westchester County, but that some schools in New York [City] spend $10,000 more per pupil than others in the same city.”

Roza & Hill (2005), op-ed after the New York high court ruling

Aug 20, 2010 — New from the Center on Inventing Research Findings

🟦 Roza

CRPE “discovered” that Washington underpays its math and science teachers. What it actually discovered is that younger teachers earn less than older teachers. Stop the presses. So I ran the statewide teacher-level data they didn’t bother with. (The post names CRPE; in June 2011 I identified the study as Simpkins, Roza & Sepe.)

What I said:

“This is an absurd false dichotomy.”

“Unlike the CRPE report, which cherry picks 30 districts, I use the whole state.”

“These data don’t coincide at all with the CRPE “findings.”

Dec 8, 2010 — The problem? Cheerleading and Ceramics, of course!

🟦 Roza

Enter the cheerleading-and-ceramics gambit: poor urban districts supposedly have plenty of money and just blow it on pom-poms and pottery. Never mind that small electives look expensive per pupil because, well, the classes are small. This previews my AERA 2011 paper, where the data told a very different story.

What I said:

“This logic/argument comes from the “research” of Marguerite Roza, who, well, has a track record of making such absurd arguments in an effort to place blame on poor urban districts and take attention away from disparities between poor urban districts and their more affluent suburban neighbors.”

“These shocking anecdotes, however, are unhelpful for truly understanding resource allocation differences and reallocation options.”

Also quoted in the post:

“Imagine a high school that spends $328 per student for math courses and $1,348 per cheerleader for cheerleading activities. Or a school where the average per-student cost of offering ceramics was $1,608; cosmetology, $1,997; and such core subjects as science, $739.”

Urban Institute event description, based on Roza’s work (quoted again Feb 25, 2011)

2011–2014: Stretching dollars, curing diseases, and a graph based on nothing

Jan 7, 2011 — Stretching Truth, Not Dollars?

🟦 Roza

Petrilli and Roza’s 15-point Stretching the School Dollar brief: school finance reform in a can, heavy on ideology and allergic to cost-benefit analysis. That includes the weighted student funding recommendation, which saves nothing and has no demonstrated equity payoff. The footnotes alone could have been their own post.

What I said:

“The new policy brief reads like School Finance Reform in a Can.”

“In fact, I can’t imagine a circumstance where adopting weighted student funding can be expected to either save money or improve outcomes for the same money. There’s simply no proof to this effect.”

“Petrilli and Roza seem to be belligerently and ignorantly declaring that there is simply never a legitimate reason for a funding formula to include small school district or declining enrollment provisions.”

“Read the footnotes. They are downright embarrassing, and in some cases infuriating. At the very least, they border on THINK TANKY MALPRACTICE.”

Also quoted in the post:

“Typical U.S. teacher contracts are for 36.5 weeks per year and include 2.5 weeks sick and personal days for a total work year of 34 weeks, or 18 weeks time off.”

Petrilli & Roza, Stretching the School Dollar, footnote 2

Jan 12, 2011 — Thinking through cost-benefit analysis and layoff policies

🟦 Roza

Part 2. I did the cost-benefit framing Petrilli and Roza couldn’t be bothered with, applied to their flagship idea of quality-based layoffs. Firing the “bad” teachers and cutting everyone else’s pay comes with costs they left off the ledger.

What I said:

“The tradeoff being made in this case is a tradeoff NOT between “keeping quality teachers” versus “keeping old, dead wood” as Petrilli, Roza and others would argue, but rather the tradeoff between laying off teachers on the unfortunately crude basis of seniority only, versus laying off teachers on a marginally-better-than-random, roll-of-the-dice basis.”

“Petrilli and Roza make the assumption that there is big savings to be found from cutting teacher salaries directly and also indirectly by passing along benefits costs to teachers. That’s a salary cut!”

Feb 25, 2011 — School Funding Equity Smokescreens: A note to the Equity Commission

🟦 Roza

A note to the federal Equity and Excellence Commission: please don’t fall for the cheerleading-and-ceramics smokescreen, which the Urban Institute was advertising on the strength of Roza’s anecdotes.

What I said:

“Surely no-one is advancing an argument – SMOKESCREEN – that utterly absurd.”

Apr 1, 2011 — Public Impact’s Persistent Pattern of Shoddy Analysis

🟩 ERS / Hawley Miles

ConnCAN’s Spend Smart brief, courtesy of Public Impact, came with a long list of signatories, ERS founder Karen Hawley Miles and CRPE’s Paul Hill among them. Plenty of names, and no sign any of them checked the basic data. (I also reviewed Spend Smart for NEPC.)

What I said:

“Yet they are willing – all who signed on to this brief, including Hassel, Hawley-Miles and Paul Hill – to go out on a limb and make these proclamations – proclamations and policy proposals which are simply bad, wrong, misguided – and irresponsible.”

Jun 6, 2011 — School Finance through Roza-Tinted Glasses: 5 School Funding Myths from a single Misguided Source

🟦 Roza

The big one. USDOE rolled out an “educational productivity” resource page stocked with non-peer-reviewed Roza material and billed it as “the work of leading thinkers in the field.” I’d had enough. Five myths, one source: (1) states have fixed between-district inequity; (2) public schools have “Baumol’s disease”; (3) poor districts squander money on cheerleading and ceramics; (4) Washington underpays STEM teachers; (5) a basket of reformy tricks will cut spending and raise productivity.

What I said:

“This post is specifically about the body of methodologically flimsy research produced in recent years by Marguerite Roza, previously of the Center on Reinventing Public Education and currently an advisor to the Gates Foundation.”

“Why this post now? I’ve simply lost my patience.”

“Amazingly, this site lists primarily non-peer reviewed, shoddy work by Marguerite Roza and colleagues and bypasses entirely more serious research on educational productivity or methods for evaluating it.”

“And it’s just lazy, hack thinking.”

“That is, the conclusions of the study itself and the press release are, well, not consistent. But this pattern of behavior is entirely consistent for Roza and CRPE.”

Also quoted in the post:

“While these indicators clearly point to increased costs for education, efforts to quantify productivity changes have been hampered by measurement challenges on the outputs side of the equation. By most accounts, key indicators of outcomes have not shown comparable gains.”

Hill & Roza, Curing Baumol’s Disease (p. 3)

“The subject-neutral salary schedule works to ignore these differences.”

CRPE press release (Simpkins, Roza & Sepe STEM study)

“That said, the lower teacher experience levels are indicative of greater turnover among the math and science teaching ranks, lending support to the hypothesis that math and science teachers may have access to more compelling non-teaching opportunities than do their peers.”

The CRPE study itself (p. 5), which I contrast with the press release

Oct 9, 2011 — Dumbest completely fabricated (but still serious?) graph ever! (so far)

🟦 Roza

At the NY Regents symposium (September 13, 2011), Roza unveiled a “productivity curve”: three straight lines promising that “tech-based learning systems” and “teacher effectiveness” would multiply the return on every dollar. The data behind it: none. The definitions: none. Diminishing returns: apparently repealed.

What I said:

“And this one rises above all of these previous graphs because IT IS ENTIRELY FABRICATED. IT IS BASED ON NOTHING.”

“Indeed this graph is intended to be illustrative… not real…. but the really big problem is that it is NOT EVEN ILLUSTRATIVE OF ANYTHING REMOTELY REAL.”

“Put into context, this graph isn’t funny at all. It’s offensive. And it’s damned irresponsible! It’s reprehensible!”

Oct 14, 2011 — On the Real Dangers of Marguerite Roza’s Fake Graph

🟦 Roza · 🟩 ERS / Hawley Miles

Then Commissioner John King started showing the graph to superintendents, so I explained why it’s dangerous and not just dumb: the effects it implies would dwarf any credible reform study ever published. At the same symposium, ERS’s Stephen Frank argued that teacher pay for experience, degrees and benefits was essentially waste to be reallocated. His example district had a senior workforce, naturally.

What I said:

“A full standard deviation of improvement would be like moving a class of kids from the 50%ile to the 84.1%ile.”

“I have no problem with the idea of exploring outside the box for options that might shift the productivity curve. I have a big problem with assuming… no… declaring outright that we know full well what those options are and that they will necessarily shift the curve in a HUGE way.”

“This assumption is also simply not supportable – certainly not by any of the ill-conceived fodder presented at the Regents Symposium by Marguerite Roza or Stephen Frank of Educational Resource Strategies.”

“But this is all based on absurdly bold assumptions and slipshod analysis (intentionally deceptive since it’s based on a district with a senior workforce).”

“we are most often talking about experimenting with the lives and educational futures of the most vulnerable children and families.”

Jan 11, 2012 — Differentiating “cost savings” from “expenditure reduction”

🟦 Roza

Stretching the School Dollar again, as Exhibit A for relabeling plain old spending cuts as “cost savings.”

What I said:

“Similarly, the “stretching the dollar” brief released last year by the Fordham Institute provides little or no valuable information regarding “cost savings” but does provide a laundry list of ideas for cutting services (with no evidence or measure of the results of such cuts)”

Feb 7 & 9, 2012 — Productivity Agenda Yes! But based on real research & rigorous analysis! / Productivity continued…updated…

🟦 Roza

Hill and Roza answered the NEPC productivity report Kevin Welner and I wrote by calling us curmudgeons with no ideas of our own. Curmudgeons, fine. But a bad idea is still a bad idea when nobody offers a better one, and we did offer better ones. Mark Dynarski then proposed research standards that their work doesn’t come close to meeting.

What I said:

“My first response would be that bad ideas are bad ideas, even in the absence of alternatives.”

“In sum, the report begins with two highly contestable claims. It then draws an unsupported causal connection between the two claims.”

“we should not be using a budget crisis to justify unwarranted haste and recklessness.”

“The third “study” is not a study at all, but rather an opinion brief by Roza with relatively meaningless national ball park estimates of job loss under alternative dismissal scenarios.”

Also quoted in the post:

“Applying these standards might result in excluding a lot of current research (even peer-reviewed research), but I think that would be the point Welner and Baker are making.”

Mark Dynarski, responding to Baker & Welner (Feb 9 post)

Mar 26, 2012 — SB24 won’t solve CT’s real Teacher Equity Problems

🟩 ERS / Hawley Miles

A footnote, recycled in June 2012 and again in October 2015, because the ERS argument that most teacher pay is “non-productive” kept turning up in policy debates and needed a citation every time.

What I said:

“Some go so far as to argue that half or more of teacher pay is allocated to “non-productive” teacher attributes, and so it follows that that entire amount of funding could be reallocated toward making schools more productive.”

Jun 29, 2012 — Friday Finance 101: What Can we Learn about Education Costs & Efficiency by Studying Existing Public Schools?

🟦 Roza

Back to Curing Baumol’s Disease: the claim that 100,000 public schools have nothing to teach us, so the answers must come from home schooling, franchise tutoring and swimming lessons.

What I said:

“Specifically, Marguerite Roza and Paul Hill in one working paper titled Curing Baumol’s Disease argue that the entire public schooling system suffers from a disease of inefficiency and thus any lessons for improving educational productivity must be sought outside of the current system.”

May 30, 2013 — Follow-up: Title I Funding DOES NOT Make Rich States Richer!

🟦 Roza

Carey & Roza’s School Funding’s Tragic Flaw was among the pieces pushing the idea that Title I makes rich states richer. My colleagues and I ran it with better poverty measures in Education Finance and Policy. It doesn’t.

What I said:

“So, no matter what we do, Title I will not solve our biggest funding equity issues. That remains largely a state problem.”

Jul 23, 2013 — School Finance 101: Reformy Distractions, Diversions & Smokescreens from What’s Really Needed

🟦 Roza

“The Intradistrict Distraction”: the Premature Celebrations argument in short form, including how neatly the within-district story fed Roza’s weighted student funding pitch.

What I said:

“This argument is also often attached to the remedy of weighted student funding (see Roza, 2006, pointing readers to the Fordham Institute’s “Fund the Child” campaign).”

“Notably, no leading researchers in economics and school finance have joined this overwhelming shift in emphasis away from state-level concerns.”

Dec 26, 2013 — Ignorati Honor Roll 2013: Pundit Version

🟦 Roza

My Ignorati Honor Roll entry for Mike Petrilli let me revisit the Petrilli–Roza brief one more time. Fordham replied with the depth and rigor we’ve all come to expect.

What I said:

“Among the most egregious examples was his policy brief a few years back with Marguerite Roza on Stretching the School Dollar which included many examples of policies and spending practices he’d like to see changed in schools, many of which actually had little or nothing to do with stretching dollars at all.”

“(no, I can’t believe I wasted so much time rebutting utterly foolish schlock!)”

Also quoted in the post:

“Baker’s a quack”

Fordham Institute (@educationgadfly) on Twitter, Dec 28, 2013

Jan 6, 2014 — Thoughts on Elite Private Independent Schools and Public Education Reforms

🟦 Roza

A heads-up for anyone going to the NAIS research meeting: bring some skepticism about Roza’s technology-efficiency claims. NAIS’s John Chubb wrote back to say I had it all wrong.

What I said:

“Heads up to anyone attending this event, please see this completely absurd claim by Marguerite Roza regarding the supposed efficiency gains achieved by implementing “technology” solutions.”

Also quoted in the post:

“I think you will find that the meeting has a very different aim than you suggest.”

John Chubb, NAIS, reply appended to the post

2015–2017: Footnotes and look-backs

Sep 10, 2017 — Reality Check: Edupreneurs, “Tech-based Solutions” & Misguided Innovation

🟦 Roza

Book-draft material. Six years on, the 2011 productivity graph still earned its spot in the hall of shame.

What I said:

“Roza used her graph to assert that, for example, for $20,000 per pupil, tech-based learning systems could provide nearly 4x the bang for the buck as the status quo, and double the bang for the buck as merely investing in improved teacher effectiveness.”

“(actually, totally made up! Fictional!)”

Oct 4, 2017 — When school finance research died & why it matters #MSFRGA

🟦 Roza · 🟩 ERS / Hawley Miles

Remembering when the Regents symposium featured real research. In 2011 it got Roza’s graph instead, plus an ERS salary graph. (The critique I received names the presenter as “Dr. Fisher”; my 2011 post credits the ERS slides to Stephen Frank.) I wasn’t the only one who noticed. Researchers in the audience sent me their own critiques, and they didn’t mince words either.

What I said:

“More disconcerting, these efforts were replaced by far less rigorous, often purely speculative policy papers, free of any substantive empirical analysis and devoid of any conceptual frameworks.”

Also quoted in the post:

“How can the productivity gain produced by service models used in a very small number sites for a very short time be determined? They can’t. It is not an overstatement to say that the claims about productivity improvement were simply made up.”

Researchers who attended the 2011 Regents symposium, on Roza’s graph

“Particularly, the suggestion that any spending on teacher salaries above the starting salary is unproductive is, well, wrong.”

Same researchers, on the ERS salary graph

2025–2026: Edunomics, or: same tricks, new logo

Mar 9, 2025 — My Bluesky thread (@schoolfinance101.bsky.social), reproduced in the Jul 24, 2025 post

🟧 Edunomics Lab

Edunomics Lab’s Oregon “Change in Spending and Scores since 2013” graph, plus its school-level spending-versus-proficiency scatter. I answered with Kirabo Jackson’s EducationNext analysis, NAEP and labor-cost-adjusted spending for every state, and the AIR Oregon cost study. (Quotes transcribed from the screenshots in my July 2025 post.)

What I said:

“there’s this junk (intentionally deceitful) graph from Edunomics (so bad as to disqualify any future engagement in this space) I infer intentional deceit from choice of 2013 as baseline.”

“Here’s the second visualization that’s being used to intentionally misinform state policy audiences.”

“So, for anyone still using this kind of garbage, you’ve been on notice for years.”

“I encourage anyone who is confronted with the Edunomics figures above, especially in public forum, to call them out for what they – and do so bluntly – as that will be the only way to be heard.”

Also quoted in the post:

“Spending grew 80% to ~$17,100 per pupil.”

Edunomics Lab graph annotation (Oregon)

“Math 8th grade scores fell during the decade and are continuing to decline alongside recovery investments.”

Edunomics Lab graph annotation (Oregon)
Bluesky post with the Edunomics Lab Oregon “Change in Spending and Scores since 2013” graph
Exhibit A: the Edunomics “long-term trend” graph for Oregon, as posted in my March 2025 Bluesky thread.
Bluesky post with the Edunomics Lab Oregon school spending versus proficiency scatterplot
Exhibit B: the “clouds of doubt” scatter, with no cost adjustment in sight.

Jul 24, 2025 — Revisiting Deceitful Claims about School Funding and Outcomes (a thread)

🟧 Edunomics Lab · 🟦 Roza

The Edunomics graphs are just new editions of two very old tricks: the “long term trend” and the “clouds of doubt.” I linked straight back to my 2011 Roza posts, because this is not a first offense. We lost real time in Oregon walking policymakers back from this stuff.

What I said:

“So they are bogus and INTENTIONALLY deceitful. Period. Full Stop. (and not this author’s first offense by any means)”

“because we had to spend a stupid amount of time explaining why the Edunomics analysis was garbage to policymakers in that state”

Jun 16 & Aug 29, 2026 — Make it stop! Please! (video) / Transcript of Video Critiquing Edunomics Graphs

🟧 Edunomics Lab · 🟦 Roza

Twenty minutes of me venting on video (June 16), then the transcript (August 29). Graph 1: start the clock in 2013, when spending had bottomed out and NAEP had peaked; adjust for nothing, stretch the axis, and presto, money doesn’t matter. Graph 2: dump every school in the state onto one scatterplot with no cost adjustment, then act surprised when there’s no pattern. Then I show what the same data look like when you do it right. (The transcript comes from auto-captions, lightly edited.)

What I said:

“The Edunomics Lab at Georgetown University — I’ll call them out by name — and Marguerite Roza have put out data visualization tools that let you make this graph for every state”

“At this point, anyone who’s putting these kinds of graphs out there is doing so knowingly and intentionally to deceive policymakers, courts, judges — whatever.”

“So if you pick 2013 as your starting point, what you’re actually picking is the year when the cuts to funding had hit bottom and test scores had hit their peak.”

“This other stuff — the raw scatterplot — is garbage. Just say it bluntly: it’s garbage. It’s intentionally deceitful.”

“Putting that unadjusted version in front of policymakers or any audience — or, for that matter, using it to teach and train people in a school finance certificate program — is reckless, irresponsible, and needs to stop.”


The peer-reviewed version (and NEPC reviews)

Same critiques, now with regression tables and page numbers. These are my weighted student funding and within-district allocation pieces that were available in full text, searched for every mention of Roza, Hawley Miles, and ERS. They run in date order, except that the 2009 Reason review, which lets Roza off the hook, comes last.

Feb 13, 2009 — Baker, B.D. (2009). Within-district resource allocation and the marginal costs of providing equal educational opportunity: Evidence from Texas and Ohio. Education Policy Analysis Archives, 17(3). (Listed on the CV as “Evaluating Marginal Costs with School Level Data: Implications for the Design of Weighted Student Allocation Formulas.”)

🟨 My WSF work · 🟦 Roza · 🟩 ERS / Hawley Miles

I tested the WSF showcase districts, Houston and Cincinnati, against the other big cities in Texas and Ohio. Credit where it’s due: both did fine on cost-adjusted equity. But neither was any more responsive to student need than districts that never adopted WSF, which rather deflates the “success story.” The literature review takes apart the Weighted Student Index method behind Roza & Hawley-Miles (2004) and Roza et al. (2007).

What I wrote:

“Unfortunately, much of this recent highly politicized and methodologically problematic research seems to have drawn attention away from more rigorous and more conventional studies of within-district resource inequity and potential causes of that inequity. Further, this more recent advocacy research has made the bold leap toward the conclusion that weighted student funding is a logical if not the sole solution.”

“A district could receive a perfect equity index score under this method by allocating $0 per poverty child across all schools and $1,000 per gifted child across all schools, ultimately driving thousands more per pupil in low-poverty schools serving larger gifted populations.”

“The authors attribute these changes to a shift from staffing-based budgets to weighted pupil funding, neglecting the possibility that similar changes could be possible through other budgeting approaches.”

“I find first that widely reported WSF success stories provide no more predictable funding with respect to student needs than other large urban districts in the same state.”

“I remain unconvinced that the data make a strong case one way or the other for weighted student funding as a district budgeting method to achieve greater rationality in cross-school expenditures.”

“rather than taking the approach of more recent advocacy research which identifies the politically motivated solution then seeks to prove that it works.”

Also quoted in the article:

“virtually eliminating inequity in its schools budgets, in part by eliminating the higher funding levels for the high cost school designs and other magnet programs”

Roza & Hawley-Miles (2004), on Cincinnati (p. 22)

“We then calculate a ratio, called a Weighted Student Index (WSI), of the actual funding received by each school to the funding we would expect if schools received the district’s average allocation for its particular mix of students”

Roza, Guin, Gross & Deburgomaster (2007), Education Next (p. 78)

Apr 20, 2010 — Baker, B.D., & Welner, K.G. (2010). Premature celebrations: The persistence of inter-district funding disparities. Education Policy Analysis Archives, 18(9).

🟨 My WSF work · 🟦 Roza

Kevin Welner and I trace the “states are done, districts are the problem” claim, and its WSF remedy, back to a handful of Roza analyses, then take the Texas WSI study apart piece by piece. Roza’s name appears 39 times, rarely in a flattering light.

What I wrote:

“we offer a critique of the empirical basis for the claims that within-district gaps are the dominant form of persistent disparities in school finance, finding instead that claims to this effect are largely based on one or a handful of deeply flawed analyses.”

“A significant shortcoming of the WSI approach, however, is that it fails to measure differences in resources with respect to student population variation across schools.”

“In reality, what an analysis like Roza’s effectively shows is only that the state school finance formula does what the state school finance formula does.”

“produces findings that are difficult to interpret at best, and entirely meaningless at worst. Yet this Education Next study has arguably become the most frequently cited basis for the broader assertion that within-district inequity should supplant between-district inequity as the funding policy concern du jour.”

“First, Hill, Roza and Harvey cite only a piece coauthored by Roza which considers only Texas data, not national data or data on any state other than Texas.”

“But policymakers should be skeptical of claims that the resource needs of high-poverty schools can generally be met merely via a reshuffling of district-level resources.”

Also quoted in the article:

“At least in Texas, funding decisions within districts currently have a greater impact on a school’s resources than inequalities in access to resources across school districts”

Roza, Guin, Gross & Deburgomaster (2007), p. 70

“What is true in California happens to some degree in every other state and every large district”

Hill, Roza & Harvey, CRPE school finance reform report

“Several studies give cause for concern by demonstrating that spending differences among schools within districts at times exceed spending differences across districts”

Roza, Guin & Davis (2007), the “more measured wording” Baker & Welner contrast

“So, the real problem is not that New York City spends some $4,000 less per pupil than Westchester County, but that some schools in New York [City] spend $10,000 more per pupil than others in the same city.”

Roza & Hill (2005)

Jun 2013 — Baker, B.D. (2013). Review of “Weighted Student Funding for California” (Reason Foundation). Boulder, CO: National Education Policy Center.

🟨 My WSF work · 🟦 Roza · 🟩 ERS / Hawley Miles

Reason Foundation’s California WSF pitch leaned on Hawley Miles & Roza and on an ERS study of Baltimore’s Fair Student Funding. The ERS method is a marvel of circularity: to test whether the formula is fair, measure the schools against… the formula.

What I wrote:

“In particular, these studies provide a more compelling argument than do citations to the work of Roza and Hawley Miles.”

“But the Hawley Miles and Roza study suffers serious methodological flaws”

“The new report also cites comparably flawed work by Frank and colleagues from an organization called Educational Resource Strategies (ERS).”

“That is, the study merely asks to what extent does spending deviate from the adopted formula. It does not question whether the adopted formula itself introduces inequities.”

“Notably, the report overlooks many such key peer-reviewed studies that give reason to be substantially more skeptical of the successes of weighted student funding and the potential of this approach to address within-district inequities.”

Also quoted in the article:

“a study of Houston and Cincinnati’s weighted student funding significantly improved equity between schools within the district”

Reason report’s characterization of Hawley Miles & Roza (2006), p. 7

“ERS measures school-to-school equity by comparing per-pupil funding after adjusting for student needs (in Baltimore, by using the student weights from the district’s formula) and then calculating the percent of schools that are within 10% of the median dollar per pupil”

Frank (2012), ERS, Fair Student Funding in Baltimore (p. 8)

May 13, 2009 — Baker, B.D. (2009). Review of “Weighted Student Formula Yearbook 2009” (Reason Foundation). Boulder and Tempe: EPIC/EPRU Think Tank Review Project.

🟨 My WSF work · 🟦 Roza

Roza shows up here only in one neutral footnote. I don’t critique her in this one; it’s here because it’s one of my WSF reviews. The Reason report itself is another story.

What I wrote:

“Overall, the policy guidance provided by the Reason report is reckless and irresponsible.”

Not mined here (full text unavailable)

These WSF pieces of mine are paywalled or no longer online, so they aren’t mined here. There’s probably more Roza material in them:

  • Baker, B.D., & Elmer, D.R. (2009). The politics of off-the-shelf school finance reform. Educational Policy, 23(1), 66–105.
  • Baker, B.D. (2012). Re-arranging deck chairs in Dallas: Contextual constraints on within district resource allocation in large urban Texas school districts. Journal of Education Finance, 37(3), 287–315.
  • Baker, B.D. (2008). Review of the Fordham Institute report Fund the Child: Bringing Equity, Autonomy and Portability to Ohio School Finance. EPRU Think Tank Review Project.
  • Baker, B.D. (2007). Review of the Buckeye Institute report Shortchanging Disadvantaged Students. EPRU Think Tank Review Project.
  • Baker, B.D., & Rebell, M. (2006). Robbing Peter to pay Paul: Weighted student funding is not the 100% solution. Education Week.

Also worth a look, though not WSF: Kevin Welner and I, Productivity Research, the U.S. Department of Education, and High-Quality Evidence (NEPC, 2011), and “Evidence and Rigor,” Educational Researcher 41(3) (2012). Both are the formal version of my complaints about the Roza/Hill productivity materials; the blog entries above quote the key passages.


Sources and fine print

Blog: all 548 School Finance 101 posts were searched in full text for Roza, Edunomics, Education Resource(s) Strategies, ERS, Hawley Miles, and CRPE. Posts that only cite a Roza paper without comment were left out. The Bluesky quotes (March 9, 2025) are transcribed from the screenshots in my July 24, 2025 post. The 2026 video quotes come from the posted transcript, built from auto-captions and lightly cleaned up.

Scholarship: titles come from my CV, and the full texts from ERIC and NEPC. Quotations from Roza, Hawley Miles, Frank, and others appear exactly as I quoted them, with the page citations I gave. Every quotation in this post was checked word for word against its source, which is more than the productivity curve can say.


Postscript: compare the records

A closing note on credentials, since Hill and Roza once cast me as the curmudgeon with nothing to offer. My CV lists 89 journal and law review articles, most of them peer-reviewed, in outlets like the American Educational Research Journal, Education Finance and Policy, Economics of Education Review, Educational Evaluation and Policy Analysis, Educational Policy and the Journal of Education Finance. It also lists six books, three with Harvard Education Press, 17 research chapters, nearly three decades of cost modeling built for state legislatures and courts, and expert testimony in 19 school finance cases. As of September 30, 2026, my Google Scholar profile shows 9,057 citations, an h-index of 53 and an i10-index of 118; that is, 53 of my works have each been cited at least 53 times. Roza doesn’t maintain a Google Scholar profile, so there’s no h-index to compare. Her Georgetown faculty bio lists where her work has appeared: the Brookings Institution, Public Budgeting and Finance, Education Next, Governing, the Peabody Journal of Education and the American Journal of Education, plus one book, Educational Economics: Where Do School Funds Go? That’s three peer-reviewed journals alongside a think tank, a magazine and a policy website. That isn’t a slur; it’s her own bio. And it’s the heart of the problem: a policy conversation that treats a slide deck and a Governing column as the equivalent of a cost function estimated on a statewide panel. Some of us show our work. The productivity curve never did.

America’s Most Financially Disadvantaged (e.g. Still Screwed) School Districts, 2022–2024

A decade after I last published these lists, 47 districts with at least 2,000 students still have more than 1.5 times the child poverty rate of their labor market and spend less than 90% of what their neighbors spend. Half of them were on my lists 10 to 13 years ago.

Where this started

For years I produced lists of what I called America’s “most screwed” school districts. The idea is simple: a district is financially disadvantaged when it serves far needier children than the districts around it, with less money.

  • 2013 blog update (2009–2011 data). I flagged city and suburban districts with more than 1.5 times their labor market’s poverty rate and less than 95% of its average state and local revenue per pupil. The list included Chicago, Philadelphia, Reading, Allentown, Bridgeport, Waukegan, Utica and dozens of others.
  • 2014 Center for American Progress report. America’s Most Financially Disadvantaged School Districts and How They Got That Way used a somewhat looser screen: poverty above 125% and revenue below 90% of the labor-market average. It grouped the causes into five types: savage inequalities in property wealth (Illinois, Pennsylvania); “stealth” inequalities in illogical state aid formulas (Michigan, Arizona); local budgeting that undercuts state aid (Bridgeport); tiny segregated enclaves (south suburban Cook County and Phoenix elementary districts); and demographic shifts in smaller, increasingly Hispanic cities (Waukegan, Reading, Allentown). It also found that the odds of being fiscally disadvantaged rose with a district’s Black and Hispanic enrollment shares, even among districts equally dependent on state aid.
  • 2015 blog update (2011–2013 data). Same logic, tighter screen: poverty above 150% and state and local revenue below 90% of the labor-market average, limited to K–12 unified districts of 2,000 or more in non-rural labor markets.

The core point hasn’t changed. The value of a school dollar is relative. Schools compete for teachers against the districts next door, and graduates compete for college seats and jobs in the same regional pool. A district that spends $15,000 per pupil can still be badly shortchanged if its neighbors spend $18,000 on far less needy kids.

Data and methods

This update uses a district-by-year panel built from the Census Fiscal Survey of school district finances (F-33), Census Small Area Income and Poverty Estimates (SAIPE), and the NCES Common Core of Data. The panel runs through fiscal year 2024.

  • Relative poverty. Each district’s SAIPE poverty rate for children ages 5–17, divided by the average for all districts in its labor market.
  • Relative spending. Each district’s current operating spending per pupil, divided by its labor-market average.
  • Labor markets. Core-based statistical areas, following the NCES Education Comparable Wage Index, as in the earlier lists.
  • Screen. Relative poverty above 1.5 and relative spending below 0.9, using 2022–2024 averages of both ratios. Districts must average at least 2,000 students.
  • Ranking. Within each state, districts are ordered by the gap between relative poverty and relative spending, the same “gap” measure used in the CAP report.
  • Race and ethnicity. 2024 Black and Hispanic enrollment shares from the Common Core, compared with each state’s share of all students.

Two differences from the earlier lists matter. First, this screen uses current spending rather than state and local revenue. Current spending includes federal money, and 2022–2024 were the peak years of federal pandemic relief (ESSER), which flowed disproportionately to high-poverty districts. That temporarily lifted spending in many of the districts that have always topped these lists. Second, this version includes elementary-only districts, which the 2015 list excluded, so several south suburban Chicago elementary districts appear.

The 2022–2024 list

Forty-seven districts in 16 states make the cut. Illinois leads with 8, followed by Missouri and New York with 5 each. Missouri’s Riverview Gardens and Jennings are the most extreme in the country: each has nearly three times its labor market’s child poverty rate and spends 81–85% of the regional average.

These are overwhelmingly districts that serve Black and Hispanic children. In 38 of the 47, the combined Black and Hispanic share of enrollment is higher than the state’s. The exceptions are mostly small, largely white towns and small cities: Potosi, MO; Rochester, NH; Macon County, TN; Jamestown and Watertown, NY. Union County, TN reports a 14.9% Black share, which looks implausible for that county and may be a data error.

Animated map of U.S. school districts flagged each year from 2009 to 2024 with child poverty above 1.5 times their labor-market average and state and local revenue per pupil below 90% of it. Districts turn darker red the more years they have been flagged. Counts rise from 108 in 2009 to a peak of 167 in 2019 and 134 in 2024. A side table tracks the ten most screwed districts: Riverview Gardens, Jennings, Fredericksburg, Brentwood, Fitzgerald, New Britain, Potosi, Marion 10, Lowell and Ypsilanti.
Districts flagged each year, 2009–2024, using state and local revenue (the measure from my earlier lists) rather than current spending, so the counts are larger than the 47 in the table below. Darker red = more years flagged. Single-year values.
St.#DistrictEnroll.Pov. ratioSpend ratioGap% Black (state)% Hisp. (state)
AL1Chickasaw City2,6342.320.881.4452.7 (31.6)5.0 (11.2)
AZ1Sunnyside Unified14,4181.710.900.812.7 (5.8)89.4 (47.8)
AZ2Nogales Unified5,6341.550.870.680.1 (5.8)99.4 (47.8)
CA1San Rafael City Elementary4,3082.200.861.340.9 (4.9)71.3 (56.1)
CA2Barstow Unified6,3722.120.831.2918.7 (4.9)56.8 (56.1)
CA3Hollister5,7201.520.750.771.0 (4.9)81.0 (56.1)
CA4San Rafael City High2,6501.590.830.761.3 (4.9)64.1 (56.1)
CT1Bridgeport19,3382.420.851.5727.8 (12.5)59.3 (31.1)
CT2Waterbury18,7561.780.880.9121.1 (12.5)62.5 (31.1)
CT3Danbury12,0201.600.790.816.4 (12.5)64.1 (31.1)
GA1Carrollton City5,6201.540.820.7232.1 (36.2)24.7 (18.7)
IL1Prairie-Hills ESD 1442,5582.200.801.4079.0 (16.4)17.2 (28.1)
IL2Lansing SD 1582,5591.710.701.0154.9 (16.4)31.6 (28.1)
IL3Indian Springs SD 1092,4541.840.880.9615.6 (16.4)31.4 (28.1)
IL4Ridgeland SD 1222,3391.720.830.905.5 (16.4)36.5 (28.1)
IL5Burbank SD 1113,2511.560.710.851.5 (16.4)61.7 (28.1)
IL6Granite City CUSD 95,8111.660.870.7919.7 (16.4)15.0 (28.1)
IL7North Palos SD 1173,3741.600.830.784.2 (16.4)17.3 (28.1)
IL8Matteson ESD 1622,3931.610.900.7288.1 (16.4)7.2 (28.1)
MA1Everett7,1782.360.871.5012.7 (9.6)67.5 (25.1)
MA2Chelsea6,1782.110.831.284.3 (9.6)88.6 (25.1)
MA3Malden6,2512.060.831.2318.8 (9.6)30.9 (25.1)
MA4Revere7,3101.580.810.773.4 (9.6)64.2 (25.1)
MI1River Rouge2,6651.810.870.9473.7 (18.2)7.7 (9.2)
MO1Riverview Gardens5,2542.950.852.1096.7 (15.3)2.3 (8.4)
MO2Jennings2,3852.850.812.0497.0 (15.3)1.0 (8.4)
MO3Potosi R-III2,0281.910.721.190.6 (15.3)1.1 (8.4)
MO4Ritenour6,1191.780.850.9342.4 (15.3)28.5 (8.4)
MO5Independence 3014,3231.800.890.9115.0 (15.3)25.6 (8.4)
NH1Rochester3,9242.040.821.221.0 (2.2)3.5 (7.7)
NJ1Plainfield10,1411.730.850.8916.3 (14.5)81.4 (34.1)
NJ2Dover3,5471.580.900.693.4 (14.5)90.7 (34.1)
NY1William Floyd UFSD9,1922.050.881.1615.6 (15.5)47.0 (30.2)
NY2Brentwood UFSD18,2561.920.831.097.1 (15.5)86.9 (30.2)
NY3Riverhead CSD5,6231.850.870.987.9 (15.5)64.1 (30.2)
NY4Jamestown City SD4,5411.560.840.723.5 (15.5)26.2 (30.2)
NY5Watertown City SD3,9561.510.890.626.6 (15.5)11.4 (30.2)
OH1Steubenville City2,7831.650.840.8123.8 (17.0)3.1 (7.8)
OH2Painesville City Local2,6941.680.900.7915.8 (17.0)56.6 (7.8)
PA1Reading SD17,3322.180.871.316.3 (14.4)87.1 (14.9)
PA2Southeast Delco SD4,0891.730.900.8378.4 (14.4)5.3 (14.9)
PA3Upper Darby SD12,4581.580.790.7948.0 (14.4)16.3 (14.9)
PA4Wilkes-Barre Area SD7,7831.550.840.7215.3 (14.4)51.5 (14.9)
TN1Union County5,8491.580.710.8614.9 (20.5)4.9 (14.8)
TN2Macon County4,1821.610.780.830.7 (20.5)15.5 (14.8)
VA1Fredericksburg City3,6542.080.891.1932.1 (21.5)24.4 (19.4)
VA2Manassas City7,3051.670.890.789.0 (21.5)69.9 (19.4)

Relative poverty and spending are 2022–2024 averages of each district’s ratio to its labor-market average. Gap = relative poverty minus relative spending. Racial shares are 2024; state figures are the share of all students statewide.

Then and now

Twenty-four of the 47 districts appeared on at least one of the earlier lists, and 12 appeared on all three. These are the chronic cases: districts that have served far needier children with less money for well over a decade.

District2013 blog2014 CAP2015 blog
Riverview Gardens, MO✓✓✓
Jennings, MO✓✓✓
Bridgeport, CT✓✓✓
Everett, MA✓✓✓
Reading, PA✓✓✓
Rochester, NH✓✓✓
Fredericksburg City, VA✓✓✓
Brentwood UFSD, NY✓✓✓
Waterbury, CT✓✓✓
Sunnyside Unified, AZ✓✓✓
Revere, MA✓✓✓
Painesville City, OH✓✓✓
Potosi R-III, MO✓✓
Dover, NJ✓✓
Ritenour, MO✓✓
Manassas City, VA✓✓
Granite City, IL✓✓
William Floyd UFSD, NY✓
Independence, MO✓
Danbury, CT✓
Plainfield, NJ✓
Jamestown City, NY✓
Chelsea, MA✓
Carrollton City, GA✓

The 23 newcomers fall into three groups:

  • South suburban Cook County elementary districts. Prairie-Hills, Lansing, Indian Springs, Ridgeland, Burbank, North Palos and Matteson. The CAP report flagged this area’s fragmented elementary districts (Posen-Robbins, Lincoln) as the “not-so-blurred lines” problem. They show up in force now partly because this version includes elementary districts.
  • Older inner-ring suburbs. Upper Darby and Southeast Delco outside Philadelphia, Malden outside Boston, River Rouge outside Detroit, and Riverhead on Long Island. Most serve predominantly Black or Hispanic students.
  • Smaller cities and towns. Chickasaw, AL; Barstow, Hollister and San Rafael, CA; Nogales, AZ; Steubenville, OH; Wilkes-Barre, PA; Watertown, NY; and Union and Macon Counties, TN.

Who dropped off, and why that isn’t good news

The biggest names from the old lists are gone: Chicago, Philadelphia, Allentown, Waukegan, Lowell, New Britain, Hamtramck, Eastpointe (formerly East Detroit), Woonsocket and Manchester. Each still has between 1.6 and 2.7 times its labor market’s child poverty rate. They drop off because their current spending ratios now sit at or above 0.9.

For most of them, that reflects federal money, not a fix. On state and local revenue, the measure used in the earlier lists, most remain well below their neighbors:

DistrictPov. ratioSpend ratioRevenue ratio
Hamtramck, MI1.971.020.75
Eastpointe, MI2.591.090.77
Glendale Elem., AZ1.880.960.78
New Britain, CT2.290.990.81
East Hartford, CT1.610.970.82
Lowell, MA2.650.920.85
Waukegan, IL2.161.020.86
Woonsocket, RI2.040.930.86
Manchester, NH1.940.910.86
Allentown, PA2.050.920.91
Chicago, IL1.611.060.94
Philadelphia, PA2.130.941.11

Swap in the revenue screen (relative revenue below 0.9) and the national count jumps from 47 to 139 districts. As pandemic relief runs out, many of these districts will likely fall back below the spending line. Philadelphia is the notable exception. Its state and local revenue is now above its labor-market average, but its poverty rate is still more than double that of its neighbors, so equal funding is still far from adequate funding.

The bottom line is the one I wrote in 2015. There is no excuse for public school districts with twice the poverty of their surroundings to have less to spend on those children. Ten years later, many of the same districts are still in that position, and many more have joined them.

Sources

Edu-Grift Top 5: Ranking Charter School Financial Grift by Magnitude

Five cases, four mechanisms, one ranking: this post lines up the biggest fraud prosecutions, the biggest company-store combination, and the biggest sweeps contract in the charter sector’s history against the single largest real-estate deal any operator has ever built, and asks which one moved the most money. The answer isn’t the one with an indictment attached.

In The Grift Model I group the ways charter operators route public money into private hands into four repeating types: enrollment inflation (getting paid for students who aren’t really being educated — phantom seats, unverifiable attendance, ghost enrollees); related-party transactions (a school’s own board or executives sitting on both sides of a contract); the company store (a captive vendor a school is required to buy from — curriculum, credentials, back-office services — that happens to be owned by the people running the school); and real estate (buying, or arranging for a related party to buy, the very buildings public dollars already financed, then leasing them back at a markup).

What I hadn’t done before is put the five biggest documented cases — regardless of category — on the same page and rank them by dollar figure. A caveat before I do: these numbers come from different kinds of documents (a criminal restitution order isn’t the same instrument as a municipal bond prospectus), cover different time spans, and in a couple of cases reflect an auditor’s or a prosecutor’s counting choice as much as anyone’s. I’m ranking them anyway, because the comparison itself is the point — and because the single largest number on this list isn’t attached to anyone’s indictment.

Here they are, five to one.

5. White Hat Management, Ohio: about $100 million over a decade

White Hat’s “sweeps” contracts with ten Hope Academy and Life Skills Center campuses in Cleveland and Akron routed roughly 95 percent of each school’s state funding to the management company, which then handled teacher salaries, facilities, and operations with minimal board oversight — company-store logic applied to an entire school’s back office rather than one vendor line. Over a decade that added up to something like $100 million. When several of the nonprofit boards tried to switch management companies, White Hat argued the computers, furniture, and classroom equipment it had bought with that money belonged to White Hat, not the schools — meaning the boards would have to buy back the property their own public funding had already paid for once.

In 2015, a divided Ohio Supreme Court sided with White Hat, 4–3, upholding the buy-back scheme as an enforceable contract term. Justice Paul Pfeifer’s dissent put it about as plainly as a judicial opinion gets: “the contracts require that after the public pays to buy those materials for a public use, the public must then pay the companies if it wants to retain ownership of the materials.” Justice William O’Neill called it, in a dissent The Progressive covered in full, “a fraudulent conversion of public funds into personal profit.” Neither dissent changed the outcome. Nobody broke a law here — a state’s highest court looked at the arithmetic and, on the merits, said it was fine. (Court News Ohio’s case summary has the full procedural history.)

4. ECOT, Ohio: $117 million ordered repaid

Electronic Classroom of Tomorrow was, at its peak, Ohio’s largest online charter school. Ohio funds schools on a formula built around enrollment and documented hours of learning activity — a formula that works fine when “attendance” means a body in a classroom, and considerably less well when it means a login timestamp nobody is verifying. A state audit covering fiscal years 2016 through 2018 found ECOT couldn’t substantiate the participation hours behind a large share of the funding it had claimed. The Ohio Auditor of State’s office ultimately found the school owed $106.6 million to the Ohio Department of Education, plus additional findings against ECOT-affiliated management entities, for a combined total just over $117 million. ECOT shut down in January 2018 rather than pay it back; Ideastream’s coverage of the final audit and the Dayton Daily News both note the state has spent the years since trying to collect. A related judgment against affiliated entities separately reached $161.6 million. It remains the largest attendance-fraud clawback in the sector’s history: virtual schools, virtual kids, real dollars.

3. Chester Community Charter School / CSMI, Pennsylvania: roughly $122 million combined

This is the case I use to show what happens when the company store, related-party real estate, and plain self-dealing all show up in a single school under a single owner. Chester Community Charter, Pennsylvania’s largest brick-and-mortar charter, is managed by CSMI, a company controlled by Vahan Gureghian. A 2009 Philadelphia Inquirer public-records fight established that CSMI had been paid roughly $60.6 million in management fees since 1999. In 2010, Gureghian sold the school’s buildings — which he owned personally — to a newly created nonprofit, for the specific and sole purpose of leasing them back to the school, for $50.7 million, financed through municipal bonds and requiring roughly $4 million a year in lease payments; Pennsylvania’s Auditor General found the school had also improperly claimed $1.27 million in state lease reimbursements on buildings the program’s own rules made ineligible, because the “related parties” on both sides of the lease were, functionally, the same person before and after the sale. Then, in 2016, a federal Office of Inspector General audit found that the school’s CEO — Gureghian himself — had written checks to himself totaling $11 million without board approval. Add the pieces up and you get a single owner, across roughly fifteen years, sitting on every side of upward of $122 million in transactions with the school he ran. No criminal charges resulted from any of it.

2. The A3 charter network, California: $400 million generated, about $80 million allegedly diverted

Between 2015 and 2019, Sean McManus and Jason Schrock used a network of 19 online charter schools, partnerships with struggling private schools, and summer athletic programs to enroll thousands of students who, per prosecutors, never took a class. The scheme generated roughly $400 million in California public education funding; investigators alleged about $80 million of it was funneled into companies the two men controlled. Voice of San Diego’s account calls it, by the state’s own description, one of the largest charter-school fraud cases in the country’s history — and yet neither man served a day in prison. McManus, an Australian citizen, was sentenced to four years but served it under house arrest with an ankle monitor in Australia; Schrock’s ankle-monitor time was credited against his sentence. Nine other defendants pleaded to reduced or misdemeanor charges. Both men paid roughly $19 million each in fines and restitution, and the California State Controller’s office says the state has recovered more than $240 million overall — real money back, on a fraud whose architects never spent a night in a cell.

1. National Heritage Academies, Michigan and six other states: $853.6 million

In 2021, National Heritage Academies — the country’s third-largest for-profit charter operator, with more than 90 schools — arranged to sell 69 of its campuses across seven states to Campus Partners 1, a nonprofit newly created for the transaction, with no operating history and, at the time reporters looked, no registration on file with Michigan’s attorney general. NHA’s owner, J.C. Huizenga, controls both the seller’s side (through Charter Development Co., which retained the facility-maintenance and ground-lease contracts) and, through his general counsel installed as the new nonprofit’s president, effectively the buyer’s side as well. The purchase was financed through $853.6 million in tax-exempt municipal bonds, issued by an industrial development authority in La Paz County, Arizona — a jurisdiction with no obvious relationship to any of the seven states where the schools actually sit. The schools then signed 30-year leases back to the very entities that had just “sold” them. Network for Public Education’s account and NCSPE’s coverage at Teachers College, Columbia University both flag the same detail: nothing about this required hiding anything, and no one has been indicted. Local commissions in Michigan raised transparency objections and briefly slowed a few approvals, but the deal closed.

It is, by a wide margin, the largest single dollar figure on this list — more than double the other four cases combined — and it’s the cleanest illustration in the sector of this project’s core argument: the extraction that scales isn’t the kind that needs a prosecutor. It’s the kind a bond market is happy to underwrite.

The comparison, side by side

Here’s the scale, side by side, with the same caveat as above: a bond-financing total, a prosecutor’s estimate of diverted funds, a cumulative audit finding, and a state’s repayment order are four different kinds of numbers, generated by four different kinds of process, over four different lengths of time. I’m not asserting they measure the same thing. I am asserting that when you line up the five largest figures anyone has ever documented for this sector, the biggest one belongs to the case where nobody was ever accused of anything.

RankCaseCategoryHeadline figurePeriodLegal status
1National Heritage Academies (MI + 6 states)Real estate$853.6M in bond financing2021Fully legal; no charges, no successful challenge
2A3 Charter Network (CA)Enrollment inflation$400M generated / ~$80M diverted2015–2019Criminal; guilty pleas; no jail time served
3Chester Community Charter / CSMI (PA)Company store + real estate + self-dealing~$122M combined1999–2016Audited, disputed; no criminal charges
4ECOT (OH)Enrollment inflation$117M ordered repaidFY2016–2018Civil clawback; school closed
5White Hat Management (OH)Company store + related-party equipment~$100M over a decade~2000s–2010sUpheld by Ohio Supreme Court, 4–3 (2015)

The pattern underneath the ranking

Look at what actually separates the number one case from numbers two through five. A3 and ECOT required someone to falsify or fail to substantiate enrollment records, and both produced real legal consequences — restitution, a repayment order, a company’s collapse. Chester Community Charter and White Hat required boards to sign contracts most of us would call self-dealing on its face, and both were reviewed — by a federal inspector general, by a state auditor general, by the state’s own supreme court — without anyone concluding a law had been broken. National Heritage Academies required nothing but a lawyer, an investment bank, and a jurisdiction willing to issue the bonds.

That’s the throughline of The Grift Model, and this ranking is about as clean a demonstration of it as I’ve been able to build: the sector’s single largest documented extraction of public education money didn’t need a scheme. It needed a structure. Enrollment inflation, related-party transactions, the company store, and real estate aren’t ranked by severity in anyone’s statute book, and this list is the reason I don’t think they should be. The mechanism that moves the most money is the one nobody had to break the law to run.

Sources


Related reading: The Charter School Company Store, Revisited and the Edu-Grift hub for the rest of this series.

The Charter School Company Store, Revisited

A decade ago on this blog I wrote about charter operators who require the people paid with public money to spend a share of it back at a store the operator itself owns. The mechanism hasn’t gone anywhere. Here it is again, in five cases across four states, with the receipts — and, this time, a schematic for each one.

In 1947, Tennessee Ernie Ford hadn’t yet recorded “Sixteen Tons,” but every coal miner in Appalachia already knew the joke wasn’t really a joke: paid in company scrip, redeemable only at the company store, “I owe my soul to the company store.” Nobody pays a teacher in scrip anymore. But in 2009, new teachers walking into Uncommon Schools’ North Star Academy in Newark discovered a tidier version of the same arrangement: as a condition of taking the job, they had to enroll in a master’s program at Relay Graduate School of Education — an institution chaired by the same person who chaired Uncommon’s own board, housed in the same Newark building as the school employing them, and priced at roughly $17,500 a year, with the new teacher’s own paycheck covering close to half of it.

I wrote about this back in December 2016 under the headline “The Charter School Company Store.” I’ve spent the years since researching a much bigger version of this book chapter, and the honest news is that the mechanism hasn’t needed updating so much as re-cataloging. It shows up in real estate, in curriculum contracts, in management fees, and — this is the detail I keep coming back to — in the credential a new teacher is required to buy from their own employer’s affiliate before they’re allowed to start the job. Below are five fully documented cases, one from the archive and four from the last twelve months, each with a schematic showing exactly where the money enters, where it’s required to leave, and where it lands back in the same hands it started in.

Newark: the credential you’re required to buy

Start with North Star Academy, because it’s the cleanest specimen. Relay Graduate School of Education was co-founded in 2011 by, among others, Norman Atkins, who also chaired Uncommon Schools’ board. Jamey Verrilli held Relay’s Newark deanship and a board seat at North Star Academy at the same time. Both organizations’ IRS filings list the same street address — 10 Washington Place, Newark, the same building housing North Star Academy itself. None of that is illegal. What it means, in practice, is that the decision to require a credential and the decision about who gets paid for supplying it sat with the same small group of people. (Source: my own 2016 reporting, drawing on Uncommon’s and Relay’s IRS Form 990 filings.)

Running New Jersey’s own staffing data against Relay’s published tuition figure, I get a rough cumulative estimate on the order of $6 million flowing from Uncommon’s own new hires toward Relay by 2015 — money that started as a teacher’s salary, and ended up, in significant part, back inside the same corporate family that had just hired her. New Jersey Department of Education staffing reports for North Star Academy alone counted 103, then 134, then 153 “novice” teachers across three consecutive years between 2009 and 2015 — each one, under Uncommon’s own hiring policy, a plausible Relay enrollee. That’s the arithmetic behind the $6 million; it’s my own back-of-envelope calculation from public staffing data and a published tuition figure, not a number either organization has itself disclosed. A related fundraising affiliate, Uncommon Knowledge & Achievement, separately reported $500,000 to Relay and $100,000 to Zearn, a curriculum company sharing board leadership with Uncommon, in a single tax year. Individually, every one of those looks like a grant. Read together against the shared address and the shared board seats, they look like an organization funding itself in triplicate.

Diagram showing Uncommon Schools requires new teachers to pay roughly $17,500 a year in tuition to Relay Graduate School of Education, which shares a board chair and Newark address with Uncommon, plus additional grants from Uncommon's fundraising affiliate to Relay and Zearn.
Figure 1. The Relay loop: a required credential, a shared board chair, a shared Newark address, and roughly $6 million flowing back to the same corporate family by 2015, on the author’s own estimate.

Miami: two invoices, one family

Academica, the charter management company Fernando Zulueta built starting in 1999, runs the same idea at regional scale — and shows something the Newark case doesn’t: a company store with two separate registers. By 2011, StateImpact Florida’s reporting (drawing on the Miami Herald’s own investigation) found Zulueta family interests controlling more than two dozen companies doing business with the schools Academica managed. Academica itself collected roughly $9 million a year in management fees. A separate set of Zulueta-controlled real estate entities collected another $19 million a year in rent from the same network, on a portfolio of more than $115 million in South Florida properties that, because they house public schools, pay no property tax at all — nine schools were paying more than a fifth of their total revenue in rent alone.

A 2014 federal audit found Fernando Zulueta sitting on the board of Mater Academy, one of his own network’s schools, while that school signed leases with his family’s development companies, and turned up a vendor relationship with an architecture firm that employed his brother-in-law — Erik Fresen, a sitting state representative who sat on the House’s PreK-12 Appropriations Committee, the panel with jurisdiction over the same charter-facilities funding stream his brother-in-law’s schools drew on, while sponsoring legislation requiring public school districts to share construction-tax revenue with charter schools. Academica disputed the inspector general’s characterization of these findings when the report was released; I note the dispute because a company’s denial belongs next to a federal auditor’s finding, not in place of it.

Two contracts, two boards could in theory negotiate independently — a school could push back on the management fee without touching the lease, or vice versa. In practice, $9 million and $19 million a year both terminated in the same family’s accounts, and no single filing was ever built to add the two together.

Diagram showing two revenue tiers converging on one family: about $9 million a year in management fees paid to Academica Corp, and about $19 million a year in facilities rent paid to Zulueta-controlled real estate entities, combining to roughly $28 million a year.
Figure 2. Two revenue tiers, one controlling family. A management fee and a facilities lease are ordinarily separate business decisions. Held by the same family, they function as a single extraction with two invoices.

Chester, Pennsylvania: the books it took a lawsuit to open

Then there’s the case that shows what happens when nobody can see the invoice at all. Chester Community Charter School, Pennsylvania’s largest brick-and-mortar charter, enrolling roughly 3,000 K–8 students, has been run since the 1990s by CSMI, a for-profit company controlled by Vahan Gureghian — a developer, lawyer, and, per Inquirer reporting, the largest individual donor to Governor Tom Corbett. In January 2009, The Philadelphia Inquirer filed a Right-to-Know request for CSMI’s salaries, payments to Gureghian, and profit figures. CSMI’s lawyer refused, arguing the records belonged to “a private management company, not a public charter school.” Pennsylvania’s Office of Open Records disagreed, ruling on May 8, 2009 that CSMI, in running the school’s day-to-day operations, was performing “what is otherwise a governmental function,” and ordered the books opened. What came out: $60.6 million in public subsidies to CSMI since 1999, for a school then enrolling roughly 2,150 kids.

Seven years later, a federal inspector general reviewing charter management organizations found that Gureghian had the authority to write checks to himself from the school’s accounts without board approval, and had done so to the tune of roughly $11 million in the 2008–09 school year alone (CCCS’s attorney disputes the “without approval” characterization, telling investigators each payment had in fact received board sign-off). By 2014–15, CSMI was collecting nearly $17 million in a single year, for a school then enrolling roughly 2,900 students — and CSMI’s profit margin on the arrangement has never been publicly disclosed, then or since. And in 2010, Gureghian sold the school’s own buildings — which he owned personally — to a newly created nonprofit, Friends of Chester Community Charter School, for $50.7 million, financed by Delaware County industrial development authority bonds, then leased them back. Pennsylvania’s auditor general, Eugene DePasquale, flagged the whole arrangement as improper, since the school, through its own affiliate, still effectively owned the building it was collecting lease reimbursement to rent — the “we bought it twice” mechanism this project documents elsewhere, run one more time through a services company instead of a REIT.

Diagram showing two lanes converging on Vahan Gureghian: a management-fee lane where Chester Community Charter School pays CSMI $60.6 million since 1999, and a real-estate lane where Gureghian sold buildings he personally owned to Friends of CCCS for $50.7 million, then leased them back to the school.
Figure 3. Two lanes, one owner. A management fee and a sale-leaseback run through structurally separate contracts, both converging on the same controlling individual.

Arizona, 2024–25: three cases in one school year

None of this ended when the last decade did. ABC15 Arizona documented three related-party arrangements running in the 2024–25 school year, in a state where roughly 97 percent of charter schools are exempt from competitive bidding even as related-party transactions are required to surface, after the fact, in an annual audit. At Crown Charter School in Litchfield Park, co-founders James Shade and T.C. Crownover — a married couple, Shade as chief executive and Crownover as board chair — directed $111,200 to Five Star Educational Research, a California-based nonprofit curriculum provider where Shade serves as CEO and Crownover as chairman. At Burke Basic School in Mesa, the Gaddie family, which founded the school, leases its building from a for-profit entity the family manages, collecting $542,000 at a rate the family itself put at $10 per square foot annually. And at Calibre Academy and its affiliated Thrivepoint Alternative High Schools, serving roughly 2,100 students combined, a for-profit called Learning Matters Educational Group supplied curriculum, technology, and management services under contracts totaling $5.3 million in a single year. (Source: ABC15 Arizona.)

None of these arrangements, on the reporting available, has been found unlawful; all were disclosed, as Arizona law requires, in the schools’ own audited financial statements. What they share with Newark in 2009, Miami in 2011, and Chester in 2009 is simpler than a legal violation: in each case, the person deciding what the school would buy and the person collecting payment for the sale were, functionally, the same person, and the disclosure requirement’s only real function was to make that fact locatable, not to change it.

Bar chart comparing three Arizona related-party charter contracts in 2024-25: Crown Charter to Five Star Educational Research at $111,200 per year, Burke Basic to the Gaddie family at $542,000 per year, and Calibre Academy to Learning Matters Educational Group at $5.3 million per year.
Figure 4. The same mechanism, current inventory. Three Arizona cases from the 2024–25 school year, ranging from a six-figure curriculum contract to a $5.3 million combined services deal — all disclosed, none found unlawful.

New Jersey, 2026: when the vendor also runs the board

A parallel January 2026 finding by New Jersey’s Office of the State Comptroller extends the pattern from curriculum and real estate into something closer to full operational control. Reviewing College Achieve Public Schools, Inc. (CAPS, Inc.) — the for-profit manager of three New Jersey charter schools, including College Achieve Greater Asbury Park — investigators found the schools’ own board had, in the Comptroller’s word, ceded “sweeping authority” to the vendor: hiring and evaluating the schools’ own executive directors, running core administrative operations across all three campuses, and controlling the fee structure governing its own compensation. Across its eleven-campus network, CAPS, Inc. had received $57 million in public funds between 2016 and 2023; in the single year 2022–23, the company forgave $385,568 in debt the school owed it, without disclosed board approval, and separately paid more than $100,000 to a business owned by the brother-in-law of the network’s own executive director. A vendor empowered to hire its own overseer, forgive its own debts, and route six figures to its chief executive’s in-laws is not managing a school’s company store so much as it has become the only store left standing — the board that was supposed to shop elsewhere no longer meaningfully can.

Diagram: the school board nominally oversees CAPS Inc., but CAPS actually hires and evaluates the schools' own executive directors, runs core administration, forgave $385,568 of its own debt without disclosed board approval, and set its own fee structure.
Figure 5. When the vendor also runs the board. The oversight line runs from the board down to CAPS; every functional line of control runs the other way. New Jersey Office of the State Comptroller, January 2026.

The scale, side by side

Here’s the scale, side by side, with the caveat that these cover different time periods and shouldn’t be read as directly comparable — they’re listed to show that the mechanism spans small dollar amounts and very large ones, not to rank the cases:

CaseAmountPeriod
CSMI / Chester Community (PA)$60.6 millioncumulative since 1999
CAPS Inc. (NJ)$57 millioncumulative, 2016–2023
Academica (Miami)$28 millionper year (mgmt. fee + rent)
Relay GSE tuition from Uncommon’s new hires~$6 millioncumulative, by 2015
Learning Matters / Calibre Academy (AZ)$5.3 millionper year (curriculum + tech + mgmt.)
Burke Basic / Gaddie family (AZ)$542,000per year (real estate)
Crown Charter / Five Star Educational Research (AZ)$111,200per year (curriculum)

The one thing every case shares

Every one of these arrangements was, at the time it was examined, either fully legal or defensible under existing disclosure rules. That’s the finding that matters more than any single dollar figure. A related-party disclosure requirement that surfaces the relationship only in an audited financial statement’s footnote, months after a board has already signed the contract, isn’t stopping anything — it’s documenting it. Every case above cleared the bar its state actually set. None of them was stopped by it.

I go into all five of these in more depth — with the full sourcing, the underlying filings, and a field guide for anyone who wants to trace their own local charter operator’s related-party contracts — in a chapter of the same name in the book I’m currently drafting, The Grift Model. If you want to run the same check on a school in your own community, start with three documents: the school’s Form 990 (Schedule L for related-party transactions, Schedule R for related organizations), your state’s charter-authorizer annual audit, and your state’s corporate registry for whoever’s name is on the vendor’s paperwork. None of it requires a subpoena. It just requires running the same name through more than one place and seeing whether it comes back twice.

Sources


Related reading: The Charter School Company Store (2016) and the Edu-Grift hub for the rest of this series.

Buy Low, Rent High: The Charter School Real Estate Playbook

Charter schools generally can’t issue the kind of low-interest, taxpayer-backed general obligation bonds that districts use to buy land and build schools. That basic financing gap has, over time, produced two distinct and well-documented problems in how charter operators end up housed. They’re often talked about as one blurry story about “charter real estate deals,” but they’re actually separate mechanisms, with separate fixes, and it’s worth treating them that way.

Neither problem requires resolving the larger, separate argument about whether chartering itself is good policy. Both are fixable with fairly ordinary transparency and pricing rules — the kind already applied to public companies and, in places, to districts themselves.

Problem 1: districts selling public buildings to charters for far less than they’re worth

A handful of states require or strongly encourage school districts to sell closed public school buildings to charter operators at a mandated discount, skipping any real appraisal or competitive process. The public built and maintained these buildings; the transfer price reflects almost none of that investment.

Indiana’s so-called “$1 law,” on the books since 2011, requires school districts to sell or lease closed buildings to charter schools for a dollar. Indianapolis Public Schools has made exactly two such sales: the former School 11 building went to KIPP Indy for $1 in 2012, and the former School 98 building went to the Tindley charter network for $1 in 2017 — buildings IPS taxpayers had financed construction and decades of upkeep on. The charters note they then had to sink hundreds of thousands to millions of dollars into renovations, and neither made a taxable profit on eventual resale — but the initial transfer price, for a facility the public built and maintained, was a dollar (Chalkbeat Indiana, February 2024).

California law requires districts to offer surplus school property to charter schools before anyone else, at a sale price that can legally be set as low as 25 percent of the property’s current market value (California Legislative Analyst’s Office).

And in 2025, Ohio’s state budget process included a provision that would let the state force closure of public school buildings and then force the district to sell those buildings to charter or private schools below market value — over the objections of the state’s largest districts. The superintendent of Canton City Schools called it “a bad deal for taxpayers” in a district that had just approved bond levies to build new neighborhood schools (WYSO / Statehouse News Bureau, May 2025).

The fix here is simple: require an independent appraisal, and price the sale at or near market value, or at minimum require the district to be compensated for its documented capital investment. A state can still prioritize charter access to vacant buildings without simply giving those buildings away.

Problem 2: charter operators paying inflated rent to a landlord tied to their own leadership

Four-step diagram showing public financing typically builds a school; a private buyer, often a related party, instead buys or develops a facility and leases it to a charter operator, sometimes at a markup; public per-pupil dollars pay that rent indefinitely; the private owner keeps the asset.
Figure 1. No single step here requires an illegal act. The risk is concentrated in one place: when the landlord and the charter’s own leadership are the same people, nothing keeps the rent at a market rate.

Because most charters lease rather than own, someone else typically holds title to the building and collects rent from the school’s public per-pupil funding. That’s ordinary and not inherently a problem — landlords take on real financing risk purchasing or building facilities whose only realistic tenant is a five-year-renewable charter school. The problem is a specific, recurring variant: when the landlord and the charter’s own leadership turn out to be the same people, and the rent is priced well above what an arm’s-length market rate would produce.

Cornerstone Charter Schools, a five-school Detroit network, is a clean illustration. Cornerstone’s founder, Clark Durant, also leads the New Common School Foundation, which owns and leases the buildings his schools occupy — and Cornerstone Education Group, the management company that collects 10 to 13.5 percent of the schools’ per-pupil funding on top of the rent. One Cornerstone elementary school alone paid more than $500,000 a year to rent its own building, under a triple-net lease that also stuck the school with taxes, insurance, and maintenance (WXYZ Detroit). “A really big, disconcerting piece of this puzzle,” I told a Detroit reporter, “is that these are a number of entities drawing on the public dollars and then sending that money back and forth between themselves.” That arrangement escalated past a policy question in November 2020, when the estate of the network’s largest historical donor filed a complaint with Michigan’s attorney general accusing Durant of running the foundation “as a for-profit entity with the primary purpose of financially benefiting Mr. Durant” himself — pointing to a compensation package that rose 61 percent in a single year and a pair of interest-bearing loans running in both directions between Durant and the foundation he leads (WXYZ Detroit; Crain’s Detroit Business).

Most of this architecture never sees a courtroom, which is part of why it persists. Hellenic Classical Charter Schools, in Queens, is a rare exception. Hellenic’s lease on its building — originally about $660,000 a year, held by a Greek Orthodox parish — was transferred to “Friends of Hellenic Classical Charter Schools,” a nonprofit that shares a chairperson with the school itself, which then subleased the same building back to Hellenic at more than $2 million a year. New York City, on the hook to reimburse charter rent under state law, balked; the state education commissioner sided with the school anyway. In March 2025, an Albany judge overturned that decision, citing “multiple red flags” — the related-party sublease and the rent’s exponential jump chief among them — and ruled the city need only reimburse a school’s “actual rental cost,” not whatever a related party decides to charge it (Chalkbeat New York).

New Jersey supplied its own entry in January 2026: a state comptroller’s investigation into CAPS Asbury found the charter’s management company, CAPS Inc., holding the master leases on all three of the school’s buildings, subleasing them back to the school it manages, and collecting 14 to 15 percent of the school’s revenue in management fees on top — the same landlord-and-manager combination, filed under a different agency’s letterhead (NJ Office of the State Comptroller).

Bar chart comparing interest rates: a district general obligation bond at about 4.5 percent, a charter nonprofit revenue bond at 5 to 6 percent, and related-party or sale-leaseback debt at about 8.5 percent.
Figure 2. Financing costs alone run higher outside the district lane, per Baker & Miron (2015) — before any related-party markup is added on top. On a $10 million building financed over 25 years, the spread between the first bar and the third is worth roughly $7.5 million in additional interest, money that buys no classroom, teacher, or textbook.

The aggregate pattern shows up in the data, too. Ohio’s state auditor found charter schools leasing from a management company paid an average of $2,325 per pupil in rent, against $848 at comparable charter schools with no related-party lease — nearly three times as much, for materially identical buildings (Ideastream Public Media).

The fix here is also simple, and it’s the one a court already improvised in Hellenic’s case: require any related-party facilities lease to be benchmarked against a market comparison before an authorizer approves it, or before public reimbursement is owed, and require the same related-party disclosure a public company already owes its own shareholders — applied to a nonprofit spending public money instead of investor money.

What ties the two together

Both problems have the same shape: a transaction involving public money and a public asset, priced without the scrutiny a genuine market transaction would face. In Problem 1, the state itself mandates the discount by statute. In Problem 2, the discount runs the other direction — a related party charges above market — but the missing ingredient is identical: nobody with the authority to say no is required to ask whether the price is fair.

Neither fix requires banning charter schools or deciding the broader argument about chartering. It requires only what every case above was missing until, in Hellenic’s case, a judge finally supplied it: someone with the authority to ask whether the person filing the paperwork was also the person collecting the money — and the power to say no when the answer was yes.

Sources

The Charter Money Trail

Following public dollars through a traditional school district is, by comparison, straightforward. District budgets are public record. Board meetings are open. Every dollar of state and local revenue flows into a single governmental entity that files public financial statements, undergoes independent audits, and answers to elected or appointed boards bound by open-meetings and public-records law. You can follow the money because the law requires the money to be followable.

Charter school finance doesn’t work that way — not because it’s illegal, but because it’s structured differently from the ground up. A single public funding stream can pass through a nonprofit school corporation, a for-profit management company, a related real-estate entity, and a tax-exempt bond issuance — and at almost every hop, the entity receiving the money is under no obligation to disclose anything to the public. Some links in that chain file a Form 990. Some don’t file anything at all. The paper trail doesn’t disappear, but it moves from one regulatory regime to another — nonprofit tax filings, corporate registries, county property records, municipal bond disclosures — each with its own rules, its own audience, and its own blind spots. Tracing it means knowing which of several unrelated public filing systems to check at each step, and accepting that at some steps, no public filing exists at all.

The walkthrough below maps that structure stage by stage: what becomes public, what doesn’t, where to look when it is, and where the trail goes cold when it isn’t.


Field method — public-records tracing. How one dollar of per-pupil funding can travel from a school budget line, through a management company, into a related real-estate entity, and out the far end as a municipal bond — and which public filing catches it at each hop.

  • Three hops: management fee → related-party transfer → bond-financed real estate
  • Filings used: IRS Form 990 · Schedules L & R · EMMA bond disclosures
  • Audience: reporters, auditors, curious taxpayers

How to read the boxes

  • Public money / public agency — district, state aid, or a bond authority
  • Nonprofit entity — solid border, files a Form 990
  • For-profit entity — dashed border, no 990 ever filed
  • Where to find it — the specific public filing to pull
  • Disclosure gap — the point the paper trail usually goes cold

1. Budget line to management fee

Public per-pupil funding lands in the nonprofit charter school’s checking account, then a slice of it leaves the same year as a fee to whoever runs the school day-to-day. Most large CMOs — Charter Schools USA, Academica, National Heritage Academies — are for-profit LLCs or corporations, not nonprofits, so the fee (often 8–15% of revenue, or a flat per-pupil rate) typically leaves the nonprofit school’s books and lands somewhere that files no Form 990 of its own.

Diagram: public per-pupil funding flows to the nonprofit charter school, then a management fee flows to the education management organization, which is for-profit and files no Form 990
Stage 1: budget line to management fee

Where to pull it

Form 990, Part IX (Statement of Functional Expenses) on the school’s own return — look for a “management fees” line, or a lump “other expenses” figure explained in Schedule O. Search both entities by name or EIN on ProPublica’s Nonprofit Explorer, which hosts the full 990 as filed, including Schedules L, O, and R. The school’s state charter authorizer annual financial report and independent audit, filed with the state education agency, almost always break out the management fee separately and by percent of revenue.

If the management company is itself a nonprofit, the fee shows up as revenue on its own Form 990, Part VIII — compare it against the school’s expense line, and check the CMO’s Schedule R, Part II, where the school should be listed as a related tax-exempt organization. If the management company is for-profit (the common case), no 990 exists for the recipient at all; the only federal trail is the school’s own return, Schedule L, Part IV (Business Transactions Involving Interested Persons), and only if an officer, founder, or family member holds an interest in the CMO above IRS thresholds. Otherwise, the fee is visible only in the school’s audited financial statements (related-party footnote) and its state authorizer filing.

2. Management company to related-party real estate

A second, related entity — often created and controlled by the same people who run the CMO — now receives money for land or a building, typically a development fee, a capital contribution, or a building bought low and resold high. This is the hop courts and auditors call “self-dealing” when it’s priced above market. In reporting on Charter Schools USA, the network’s founder is also tied to Red Apple Development, the firm that buys and builds the network’s school buildings.

Diagram: the management company sends a development fee, capital contribution, or a building bought low and resold high to a related real-estate entity commonly owned by the CMO's founder or executives
Stage 2: management company to related-party real estate

Documented pattern

Reporters tracing county property records found a Charter Schools USA building bought for $2.2M in March 2011 and resold six months later, to the network’s own real-estate arm, for $9.3M — a markup the school then paid off through rent. A second building followed the same path, $3.75M to $9.7M. — Truthout, 2014, citing county deed records

Adjudicated example

A federal court found Imagine Schools breached its fiduciary duty by routing a charter board into an above-market lease with SchoolHouse Finance — Imagine’s own wholly owned real-estate subsidiary — and ordered $935,400 in damages, calling the arrangement “self-dealing.” — Renaissance Academy for Math & Science of Missouri v. Imagine Schools, Inc., W.D. Mo. 2014; see also St. Louis Post-Dispatch coverage of the ruling

Where to pull it

Run the real-estate entity’s name through your state’s Secretary of State / corporate-registry search (e.g., Florida’s Sunbiz, Delaware’s Division of Corporations) — registered agent and officer names are what tie it back to the CMO’s leadership. If the entity is a nonprofit “Friends of” corporation rather than an LLC, it files its own Form 990 — check Schedule L for the lease or purchase transaction and Schedule R for the ownership link. Pull the county property appraiser and recorder of deeds records for the parcel: purchase price, resale price, and date — this is how property flips like the one above are actually caught. The school’s audited financial statements (related-party transactions note, usually near the end) should disclose the lease and the related party, even when the 990 doesn’t.

3. The building gets bond-financed

Rather than pay cash, the real-estate entity typically borrows the purchase or construction price through tax-exempt bonds, applying for conduit financing through an Industrial Development Authority or state finance authority. The authority lends its tax-exempt bonding power but takes on no repayment risk itself; the bonds are underwritten and sold to bondholders and municipal-bond investors, who buy the debt on the strength of the lease revenue described in the offering document — not on the authority’s credit. The bonds are issued in the name of a public authority, but repaid entirely by the charter school’s lease payments.

Diagram: the real-estate entity applies for conduit financing through an Industrial Development Authority or state finance authority, which issues bonds underwritten and sold to bondholders and municipal-bond investors
Stage 3: the building gets bond-financed

Adjudicated example

The SEC charged UNO Charter School Network with failing to disclose, to buyers of a $37.5 million bond offering, that a construction contract had gone to a company owned by a senior officer’s brother. — SEC v. UNO Charter School Network, settled June 2014

Where to pull it

Search emma.msrb.org — the SEC-designated municipal-disclosure archive — by issuer name, borrower/”obligated person” name, or CUSIP to find the Official Statement (OS). Inside the OS: the “Security and Sources of Payment” section names the lease or loan agreement that backs repayment; the maturity schedule gives the par amount and interest rate for every maturity; the cover page names the underwriter, bond counsel, and trustee. EMMA also holds every continuing-disclosure filing made after closing — the charter school’s annual audited financials and enrollment figures, filed for as long as the bonds are outstanding. That’s the ongoing monitoring trail, not just a one-time snapshot.

The loop closes here. The charter school’s per-pupil funding — the same dollars that started at Stage 1 — now also makes the lease payment that services this debt. One public revenue stream is paying, in the same fiscal year, a management fee, a related-party real-estate return, and municipal bond debt service.


Reporter’s toolkit

Six free lookups, in the order you’ll actually use them, to run any charter network through the three stages above.

ProPublica Nonprofit Explorer
Full-text 990s, including Schedule L and Schedule R, searchable by organization name or EIN.
IRS Tax Exempt Organization Search
Confirms exempt status and pulls the raw filed return when ProPublica hasn’t indexed it yet.
EMMA (MSRB)
Every municipal bond Official Statement and continuing-disclosure filing, searchable by issuer, borrower, or CUSIP.
State Secretary of State registry
Corporate filings for the LLC or Inc. behind a management or real-estate entity — officers, registered agent, formation date.
County property appraiser / recorder of deeds
Purchase price, resale price, and date for any parcel — the record that exposes a flip.
State charter authorizer portal
Annual financial reports and independent audits, which usually break out the management fee by name and percent of revenue.

On the examples above: the Winthrop/Woodmont property-flip figures are as reported by Truthout (2014) from county deed records; the SEC and Renaissance Academy/Imagine Schools matters are settled federal enforcement and adjudicated court findings, cited to the SEC’s June 2014 press release and the W.D. Missouri court’s December 2014 ruling respectively. Charter Schools USA and Red Apple Development are named here only as the illustrative structure that reporting has already documented — not every CMO/real-estate pairing follows this pattern, and not every instance of it is unlawful. This piece describes a documented mechanism and where its paper trail lives; it is not an allegation about any specific school’s current finances.


Related reading

Transcript of Video Critiquing Edunomics Graphs

“Make it stop! Please!” — Video debunking of Edunomics intentionally deceitful school funding/outcome graphs

Source: School Finance 101 (Bruce Baker), published June 16, 2026

schoolfinance101.com — Make it stop! Please!

Transcribed from the post’s auto-generated captions (video runtime ≈ 20 minutes) and lightly cleaned up for readability; screenshots below are frames pulled from the same video at the points the graphs are shown on screen. A few short passages were unintelligible in the source captions and are marked accordingly.

Greetings, folks. Let’s talk. I need to vent a little bit, because after all these years, the same BS continues to roll out, continues to emerge in the school finance conversation — something I’ve been writing and talking about for years.

I put this report out last year, this new version of Does Money Matter in Education? — summarizing a whole bunch of rigorous, peer-reviewed studies applying different approaches and using different data that show us how and why money matters for improving student outcomes.

I talked about this years ago — for a decade, really. This is actually a little less than a decade old, in this book and in other sources on my blog going back more than a decade: basically the dumbest, most facile, simple-minded, intentionally deceitful versions of arguments that try to say, well, money doesn’t really matter. You can do great — you can be awesome with very little money — and you can suck with lots of money. Money’s gone up and test scores have gone down. There are really about four or five different versions of this argument that have been thrown out over the years, but there are two common ones — pretending to be empirical analyses — that are repeatedly used, and that I’ve repeatedly debunked, that just continue to find their way back.

At this point, anyone who’s putting these kinds of graphs out there is doing so knowingly and intentionally to deceive policymakers, courts, judges — whatever. Most of this stuff doesn’t make its way these days into judicial debates over school funding, but I had to face this again over a year ago, and then I’ve seen these graphs re-emerging for every state continuously over the past year — and even again recently on Twitter/Bluesky, where one of my colleagues, thankfully, also took a shot at just how stupid and intentionally deceitful these graphs are.

So let’s jump into it. If you’re a policymaker in a state — or if you know one, or if you’re on a commission in a state and people have been invited in and are putting this stuff in front of you — stop it right there. Kick them out of the room. This is not credible. It shouldn’t be part of the discussion. Just look at the graph.

Graph #1: The “long-term trend” graph

Here’s one of the graphs — this is the new version of what I call the long-term trend graph. The Edunomics Lab at Georgetown University — I’ll call them out by name — and Marguerite Roza have put out data visualization tools that let you make this graph for every state, and then the next graph I’ll talk about.

Let’s take a look at this. First of all — and I’ll explain why this is part of the intentional deceit — they picked 2013 as the starting year. Second, you get two totally different kinds of measures put on a common y-axis, a common vertical axis, with different units for the test scores than for the spending, and both of them stretched out to make it look like these trends are wildly diverging.

Edunomics-style “long-term trend” graph for Oregon: spending, NAEP math/reading, and inflation all plotted on a common stretched axis since 2013 (“BS of the Hour” slide).

And even the construction of the measures is a problem. We’ve got per-pupil spending, not even adjusted for inflation, and then a separate line for some inflation adjustment — maybe a Consumer Price Index — which isn’t even the right adjustment to use for per-pupil spending. I’ll show you what it looks like adjusted correctly in a few minutes.

They’ve got per-pupil spending skyrocketing. I’m using Oregon here because it’s the last place I was faced with having to waste an exorbitant amount of time debunking this garbage. So we’ve got per-pupil spending — not adjusted for inflation, just nominal per-pupil spending — seemingly skyrocketing, which you can do by stretching out the y-axis. And we’ve got NAEP (National Assessment of Educational Progress) test scores taking a dive from 2013 forward to 2024. Then there’s a separate, gratuitous inflation measure thrown in on yet another scale. My head explodes just looking at this. And most people who’ve encountered this graph and have any knowledge of how to do actual research and empirical analysis, and how to measure a school dollar — their heads have exploded too.

Why 2013 is the tell

Let’s talk about 2013 for a second. First, 2013 is well understood to be the point at which NAEP scores level off and/or start to decline. They go up for all the years before that, and then they hit a plateau and start to decline. So picking 2013 is intentionally picking the point at which, in almost any state, you can show test scores leveling off or going down while money is going up or staying the same — which, of course, looks bad. It implies money couldn’t possibly relate to test scores. Better research says otherwise, even for this period.

NAEP Grade 4 Reading and Grade 8 Math scores over time for all states, with Oregon highlighted — scores plateau/decline for nearly every state starting around 2013.

Here’s NAEP scores over time for all states, with Oregon highlighted — and, like the others, it just drifts downward from that point, more or less within the pattern of other states (a bit more so for the fourth-grade scores). But picking 2013 was intentionally picking the year at which NAEP scores level off or turn downward.

On the spending side: per-pupil spending for public school districts took a real hit starting around 2008–09. 2008 was about the best year for public school expenditures. From about 2008–09 to about 2011–12 is when spending really took a hit. It had drifted upward through 2008, then dips, and hits its bottom — leveling off and maybe starting to creep back upward a little around 2013.

Oregon per-pupil spending by fiscal year, adjusted for labor costs, compared to other states — spending bottoms out around 2013 after the Great Recession before drifting back up.

So if you pick 2013 as your starting point, what you’re actually picking is the year when the cuts to funding had hit bottom and test scores had hit their peak. Track it forward from there for almost any state, and you’ll get this apparent divergence — especially once you consider that spending should really be adjusted for the cost of recruiting and retaining a comparable-quality teacher workforce, given that private-sector and other wages have been rising faster than wages for teachers and public school employees. Adjusted that way, spending clearly does not skyrocket the way it does in their graph. Again, 2013 is right where spending per pupil bottoms out and levels off (maybe starts to climb a little) — stretch the axis and don’t adjust for anything, and you can make it look like it’s climbing a lot.

Interesting side note: there’s a really good empirical study by Jackson and coauthors (published via EducationNext) that shows the detrimental effects of recessionary cuts on student outcomes during that exact same period.

“Could the Disappointing 2017 NAEP Scores Be Due to the Great Recession?” (EducationNext) — Figure 1: NAEP scores and cumulative per-pupil spending, zoomed in on 2000–2015.

Zooming in on just the 2000–2015 period the way this study does, test scores actually rose when spending rose, leveled off when spending leveled off, and dipped when spending dipped — the opposite pattern from what’s implied by stretching the axes the way Edunomics does. That study’s authors go on to run solid, causal empirical analyses of this relationship — including, later, a study with more than 30 causal estimates of the returns to a $1,000 increase in public school expenditure, which I summarize along with a ton of other studies in my report.

And yet the graph still persists. It’s still thrown at us in the most absurd ways.

A properly adjusted version

Here’s another version of the graph — the blue line is roughly their version of per-pupil expenditures, though not as exaggerated as showing it as a percent change since 2013 on a stretched y-axis. Just unadjusted per-pupil spending: it went up. Adjusted for changes in labor costs, per-pupil spending is only ever so slightly higher in 2024 than it was in 2009 — that’s adjusting for what it costs to recruit and retain teachers of comparable qualifications.

Now, if we adjust for all of the other cost changes — the student populations to be served, and everything else that goes into achieving a common set of outcomes, using our National Education Cost Model at schoolfinancedata.org — spending actually declined precipitously during and in the years immediately following the fiscal-austerity period after the Great Recession, then levels off, and may even continue drifting down slightly relative to what the dollar was worth toward achieving 2009-level outcomes.

“Permanent disinvestment” — spending with respect to the cost of achieving common outcome goals (nominal vs. labor-cost-adjusted vs. fully cost-of-outcomes-adjusted); the cost-adjusted line never rebounds after the Great Recession.

That’s what fully cost-adjusted spending looks like over time, in many if not most states.

Graph #2: The cross-sectional “spending vs. proficiency” scatterplot

Now for graph number two — another mind-bogglingly, intentionally deceitful graph. The idea: take a whole bunch of schools across a state, regardless of differences in cost from one place to another or the students being served — schools of different grade levels and everything — and plot their per-pupil spending on the horizontal axis and their percent proficiency on state tests on the vertical axis.

The “Clouds of Doubt” graph: Oregon FY22–23 per-pupil expenditure vs. SY23–24 all-grades combined proficiency, with no cost adjustment — no visible relationship between spending and outcomes.

That lets you show that some schools do awesome with very little money, and some schools do crappy with a whole lot of money — so clearly, money doesn’t matter. That low-spending, high-scoring school just needs everyone else to learn from its awesomeness, and everyone can be awesome with whatever they have. Inequity doesn’t matter, adequacy is irrelevant — just get the better outcome, and if you don’t, it’s because you suck.

The layers of problems with this graph are mind-boggling. The main issue is the complete failure to adjust for the value of the school dollar toward achieving these outcomes from one place to the next — to look at the dollar adjusted for its value, or for whether it’s sufficient to achieve a given target given those outcomes.

What it looks like adjusted for cost

I can give a couple of examples of what happens when you do that adjustment. First, I put Oregon in the context of the nation for 2023. If you look at that unadjusted, the overall pattern looks downward — the more money you have, the worse you do, as if you just don’t know how to use it well, and need to be squeezed harder to perform like the districts in the upper-left corner.

But if instead you responsibly use methods that have been in the peer-reviewed literature going back to about 1971 — and extensively since about 1998–99, in the “modern era” starting with a piece by Downes and Pogue in the early 1990s — and look at each district’s spending relative to what it would cost that district to achieve national-average outcomes, and then look at their actual outcomes relative to the national average, districts that spend more (relative to their cost of achieving average outcomes) achieve more, on average.

“Actual (cost adjusted) Spending & Outcomes” — Oregon districts (red) against the national distribution (gray): funding gap to the cost of national mean outcomes vs. outcome index. A clear, strong, positive relationship.

Districts on the right-hand side of this picture are ones spending more than they’d need to achieve national-average outcomes, and the districts in the upper-right quadrant are mostly achieving above-average outcomes. Districts in the lower left have less funding than needed to achieve national-average outcomes — and guess what, they’re achieving below-average outcomes.

There’s still variation around that trend line — more adequate funding (controlling for costs) generally means better outcomes, but there’s variation worth exploring further, which my colleagues and I have done in individual states. For example, a report on Colorado compares districts and schools that get better outcomes than would be expected given their spending. Sometimes what we find is that there was simply something our model didn’t fully capture about that school or district; sometimes we get real insight into what they’re doing differently. That’s what real efficiency analysis looks like — not making a judgment with no consideration at all for the value of the school dollar.

This other stuff — the raw scatterplot — is garbage. Just say it bluntly: it’s garbage. It’s intentionally deceitful. It has no place in a real policy conversation about how to help schools improve, or how to equitably and adequately fund schools. It shouldn’t be part of the conversation, and neither should the long-term trend graph. It’s utterly ridiculous.

A side-by-side, nationwide comparison

Here’s a side-by-side comparison. If I take districts across the whole country and just look at their per-pupil spending relative to the average for their labor market (i.e., adjusted for regional cost differences in the labor market — from Kansas City to El Paso to New York) — districts spending more than their labor-market average versus less — and plot that against an outcome index combining reading and math scores for grades three through eight, it looks a lot like the Edunomics-style graph: overall, the higher-spending districts don’t appear to be doing any better.

“What a competent comparison looks like” — left: spending/labor-market mean vs. outcomes with no cost control; right: current spending as % of adequate spending (cost) vs. outcomes, with cost control. The relationship only emerges once cost is controlled for.

But if you instead adjust properly for the full cost of achieving a given outcome goal and then plot it, districts with more adequate spending relative to that cost have higher outcomes, and districts with less adequate spending have lower outcomes. Then you can start to explore what explains the variation among districts at similar levels of spending and outcomes — but you can’t make any judgment at all from the unadjusted version. Putting that unadjusted version in front of policymakers or any audience — or, for that matter, using it to teach and train people in a school finance certificate program — is reckless, irresponsible, and needs to stop.

Oregon, school level

Here’s what it looks like in Oregon with school-level data, based on a report I produced with colleagues at the American Institutes for Research.

AIR’s “Understanding the Cost of Providing Adequate Educational Opportunity in Oregon” (Feb. 2025) — Exhibit 18: funding gaps by outcome gaps for statewide-average and +1 SD target outcome standards, school year 2022–23.

It’s a messy graph, but it generally trends upward, and the statistical analyses in the report show that schools with more adequate funding tend to have higher outcomes, and schools with less adequate funding tend to have lower outcomes. And when you set a higher outcome goal, it costs more to reach it. That’s the punchline.

Closing

This isn’t new, and it shouldn’t come as a surprise to anyone. I called graphs like the second one “clouds of doubt” in my 2018 book — clouds of doubt and the long-term trend were two of the most deceitful ways people tried to argue that schools just need to do better with what they’ve got, that more money doesn’t matter, that we should stop “throwing money” at schools because outcomes are declining anyway. All of that is garbage, and it’s well understood to be garbage. These particular empirical representations of it are an absolute joke.

Stop it now. Shut the door on it. Kick it out of the room. It has no place here, period.

Thank you, and have a wonderful day — I’ve enjoyed this pleasant time chatting with you.

Referenced reports

Baker, Bruce D. (2025). Does Money Matter in Education? (Third Edition). Albert Shanker Institute. shankerinstitute.org/resource/does-money-matter-in-education — PDF: moneymatters3rdedition_final.pdf

Baker, Bruce D., & Losen, Daniel J. (2026). Unpacking Racial Disparities in School Spending: Why “progressiveness” and “comparability” are not enough. EdWorkingPaper ai26-1558, Annenberg Institute at Brown University. edworkingpapers.com/ai26-1558

Brooks, Christopher D., Levin, Jesse, Salvato, Brad, & Baker, Bruce D. (2025). Understanding the Cost of Providing Adequate Educational Opportunity in Oregon. American Institutes for Research, prepared for the Oregon Legislative Policy and Research Office. air.org PDF

Illustrations: Why “Cost” Matters in School Finance Research

Figure 1 – left panel – compares nominal per pupil spending by U.S. Census Poverty rates for all school districts nationally. Per pupil spending is measured as a ratio of each school district’s spending to the average spending for all other districts in the same labor market (metropolitan or micropolitan core based statistical area or rural area outside of CBSA, within each state). A district with a spending ratio of 1.0 would be spending at the average of those districts around it. This approach compares districts subject to similar input prices. What we see here is that on average, districts with higher rates of child poverty tend to have higher per pupil spending. In fact, moving from 0% to 100% child poverty would be associated with .62 increase in per pupil spending (from average to 62% above average). More realistically, within the actual range of data, the highest poverty district would be expected to have about 31% higher relative spending than the lowest poverty district, in 2023, weighted for district enrollment. That sounds rather progressive. But, is it progressive enough? To provide equal opportunity? Similarly, as we can see in Figure 2 – left panel – districts that serve majority black student enrollments tend to be above the “average” line, while also being generally high in child poverty rate. Measured this way, a district that is 100% black would be expected to have about 25% higher relative spending. Again, progressive.

Figure 1 – right panel – shows what happens when we measure current spending with respect to the cost of achieving national average outcomes in reading and math. Despite the uphill (progressive) slope in the left panel, we see a regressive slope with respect to poverty in the right panel. If the slope in left panel was steep enough – progressive enough – the right panel would have all districts falling along the horizontal line. The right panel captures both adequacy and equal opportunity. Adequacy – measured as a low bar of national average outcomes in reading and math, is captured in the dashed horizontal line. Many low poverty (left) districts spend well above what would be needed to achieve merely “adequate” outcomes measured by this low bar. Meanwhile, most high poverty districts and nearly all majority black districts fall below spending needed to achieve “adequate” outcomes. The distance of each district to the horizontal line, or ratio to it, measures equal educational opportunity.

Figure 1

Figure 2 shows why this reframing is so important. It is important that we understand the outcome implications of inadequate funding. That the goal of a well-designed funding formula is to ensure that all children have resources adequate to achieve a common set of educational outcomes. State school accountability systems are premised on as much – that all children are expected to achieve “X.” And that school and district officials shall be subject to penalties if or when they do not. That is, even if the state has not calibrated the school funding formula to provide equal opportunity to do so.

Figure 2 – left panel – shows that if we look just a relative spending and student outcomes, higher spending districts have lower outcomes, with majority black districts having relatively higher spending but particularly low outcomes (combined, normed index of reading and math achievement). The opposite is true (right panel) when comparing the adequacy of spending to outcomes – more adequate spending leads to higher outcomes, consistent with the research on how and why money matters. Additionally, the adequacy of district spending explains nearly 40% of outcome variation, whereas relative spending alone explains about 5%, but in the “wrong” direction.  Spending adequacy is simply the better, more correct (more valid[1]) measure for comparing access to fiscal resources across children and setting. These are the same data used above, also for 2023. Collectively what Figures 2 and 3 tell us is that while spending on average is “progressive” it is far from “progressive enough,” leaving large gaps in equal educational opportunity, including significant racial gaps.

Figure 2


[1] Valid in the sense that the measure has predictive validity – can predict the outcome measures of interest (with the correct sign, sufficient magnitude and variance explained) – which, in this case are measured student outcomes in reading and math. See also: Baker, B. D. (2006). Evaluating the reliability, validity, and usefulness of education cost studies. Journal of Education Finance, 32(2), 170-201.