Appendix D. Methodology and Sources
The stress-test method.
This book is a stress test, not a forecast. The method is simple. Take the forces that are real and moving in 2026. Push them past their current level in a model of the next few years. See what buckles. The October 2030 scenario is the overload case, an engineering exercise. Where a specific count or date shows up in that scenario, it stands for pressure, not a calendar prediction. The composite schools and students are built from real numbers and real rules, and they’re labeled as composites. No real school is named as failing.
Every current figure is dated and sourced. Some will move before you read this. That’s expected. The mechanisms are the durable part. The numbers get re-checked against the primary source: the statute for the loan changes, the ABA for accreditation and test-optional policy, LSAC for test volume and accommodations data, the NCBE for the bar-exam rollout, and each school’s own 509 filing for outcomes.
The prior-art lineage.
This book builds on a line of earlier critics who saw the model’s weakness before the forces converged. The canon includes:
- Brian Z. Tamanaha, Failing Law Schools (University of Chicago Press, 2012): the foundational diagnosis that the federal loan program worked as a subsidy for schools rather than students. The per-school borrowing cap Tamanaha proposed in 2012 is the lever the 2026 budget law actually pulled.
- Paul Campos, Don’t Go to Law School (Unless) (self-published, 2012): the demand-side analysis of the merit-scholarship pricing mechanism and the income-driven repayment risk Campos flagged a decade before RAP.
- Steven J. Harper, The Lawyer Bubble: A Profession in Crisis (Basic Books, 2013): the hiring-side structural analysis, including the associate pyramid and the “lost classes” of 2009-2011 that are the historical precedent for what AI is now doing structurally.
- Glenn Harlan Reynolds, The Higher Education Bubble (Encounter Books, 2012): the cleanest statement of the subsidy-into-price mechanism and the named adjustment sequence: denial, discounting, mergers, closures.
- Walter Olson, Schools for Misrule (Encounter Books, 2011): the accreditation-as-cartel analysis and the AMA precedent for an accreditation-driven closure sequence. Note: Olson’s work is ideologically partisan and is cited here only for the cost and accreditation mechanics, which are documented independently.
They were right about the machine and early on the timing. What’s new is the calendar.
2026 primary sources.
Every current figure in this book is sourced to a named primary source and dated as of mid-2026:
- One Big Beautiful Bill Act (2026), federal student-loan provisions: the statute itself; AccessLex Institute, “New Rules for Law School Loans”; CNBC reporting (Apr. 30, 2026).
- Repayment Assistance Plan (RAP): NerdWallet; NPR (Dec. 2025); CNBC (May 29, 2026).
- ABA test-optional variances: ABA Council of the Section of Legal Education, variance to Standard 503 (Nov. 2024); Inside Higher Ed (Nov. 15, 2024); legalnewsfeed.com (Aug. 2025).
- Texas and Florida accreditation actions: Inside Higher Ed (Jan. 16, 2026); Florida Bar (2026); KERA (Feb. 2, 2026).
- NextGen bar exam rollout: NCBE, NextGen UBE Decisions by Jurisdiction; Cal Bar (May 2026); Bar Exam Toolbox (2026 guide).
- Demographic cliff: AGB, “Impacts of the Enrollment Cliff 2025-2026”; Bloomberg (2026); academicjobs.com (2026).
- LSAC application volumes: LSAC 2025 and 2026 cycle reports.
- AI and entry-level legal hiring: Axios (May 2, 2026); Artificial Lawyer (Aug. 2025); MIT Technology Review (Dec. 2025).
- ABA 509 Required Disclosures: individual school filings, available through abarequireddisclosures.org.
- Score inflation and retake data: LSAC Technical Reports TR-18-01 and TR-24-01; PowerScore retake statistics.
- Test-optional accommodations data: LSAC TR-24-01; Muller, “Excess of Democracy” (Oct. 28, 2025); PowerScore accommodations analysis.
