Bibliography

Sources are grouped by confidence tier, following the book's citation-honesty policy (see _style-bible.md §7). Tier 1 are works, statutes, and institutions we are confident exist; Tier 2 are real ideas and industry practices whose exact publication we have not pinned down; Tier 3 are constructed teaching examples — above all the recurring Harbor Steel underwriting file — labeled where they appear.

Tier 1 — Verified canonical sources (statutes and regulatory frameworks such as the McCarran-Ferguson Act, the ACA, GINA, and the FCRA; the NAIC model laws and the RBC framework; named public events and institutions — Lloyd's of London, AM Best, ISO, NCCI, Solvency II)

• ACORD (Association for Cooperative Operations Research and Development) — the nonprofit maintaining the standardized insurance application/form set used across commercial lines (the "ACORD application," §8.1).
• Affordable Care Act (ACA) — largely eliminated medical and gender-based underwriting in individual/small-group health and instituted community rating; the clearest large-scale social-fairness override of actuarial pricing (Ch.18; §35.6–35.7).
• AIG and the 2008 financial crisis — public record of the AIG intervention, AIG Financial Products' credit-default-swap book, collateral-on-downgrade dynamics, and systemic-risk concerns (Case Study 1; public facts only, no reconstructed figures).
• AM Best (and other rating agencies) — published rating methodologies that assess enterprise risk management and underwriting discipline directly; the external counterpart to internal governance (rating agencies owned by Ch.3).
• AM Best (and the other financial-strength rating agencies) — ratings of reinsurer financial strength; the basis for assessing a reinsurer's collectability, framed in §27.6 as part of the cedent's own underwriting (rating agencies introduced in Ch. 3).
• AM Best — insurer financial-strength ratings and impairment/insolvency studies (the rate-inadequacy → reserve-deficiency → failure pattern).
• AM Best — public rating-methodology materials and financial-strength rating definitions (the canonical primary source for how insurer financial strength / claims-paying ability is assessed and what the letter grades mean).
• AM Best — the rating agency's published rating methodology and criteria, which explicitly evaluate an insurer's risk concentration, catastrophe exposure, and capital adequacy relative to its probable maximum loss; the authority linking portfolio concentration to a rating (and survival) outcome (rating agencies owned by Ch. 3; capital by Ch. 28).
• AM Best, S&P, Moody's, Fitch financial-strength and capital-adequacy models — the rating agencies' published rating methodologies and capital models (e.g., AM Best's capital-adequacy framework); the basis for the rating-agency-binds-tightest point.
• American International Group (AIG) and the 2008 financial crisis — public record of AIG Financial Products, the credit-default-swap exposures, and the federal rescue; the canonical example (Case Study 2) of a guarantee-writing function outrunning its governance. Magnitudes per public record; no invented figures.
• Asbestos liability — public record of asbestos-related disease, litigation, manufacturer bankruptcies, and the resulting long-tail insurance losses; a Tier-1 reference for latent hazard and the limits of backward-looking loss data. Credible cost totals span a wide range and are still revised; keep qualitative.
• Benjamin Franklin, "Protection of Towns from Fire" (1735) and his founding of the Philadelphia Contributionship (1752) — primary source for the chapter epigraph and the prevention-plus-insurance theme.
• California Proposition 103 (1988) — ballot initiative establishing prior-approval rate regulation, an elected Insurance Commissioner, and the mandated prioritization of driving record, annual miles driven, and years of driving experience in auto rating (Case Study 2; §14.5).
• Caribbean Catastrophe Risk Insurance Facility (CCRIF SPC) and the World Bank's disaster-risk-financing program — the public record of sovereign parametric catastrophe pools: trigger design, rapid payout, and basis-risk management (the authoritative source for §26.5 and Case Study 2).
• Carter v. Boehm (1766), Lord Mansfield — the English decision conventionally credited with rooting the duty of utmost good faith / disclosure (uberrimae fidei) in insurance law; source for the chapter epigraph (paraphrase clearly labeled as a teaching restatement, not a verbatim quotation).
• Casualty Actuarial Society (CAS) and Society of Actuaries (SOA) — professional actuarial bodies; published syllabi/monographs/research underpinning GLM and predictive-modeling practice.
• Casualty Actuarial Society (CAS) — the canonical body of work on credibility theory (classical/limited-fluctuation and Bühlmann/greatest-accuracy credibility), loss development, and trend; the standard credibility exposition (e.g., Mahler & Dean) is a CAS reference.
• Coalition Against Insurance Fraud — real anti-fraud alliance of insurers, consumer groups, and government; public material on fraud types and the (estimated) cost of fraud (§33.1, §33.2).
• Colorado SB21-169 (2021) — statute requiring insurers to test external consumer data, algorithms, and predictive models for unfairly discriminatory outcomes against protected classes; leading example of effect-based AI-fairness regulation (Case Study 1).
• Colorado SB21-169 — statute restricting insurers' use of external consumer data and algorithms/predictive models that could produce unfair discrimination; with Colorado Division of Insurance implementing regulation.
• Combined ratio, loss ratio, underwriting cycle, rating agencies (AM Best) — owned by Ch.3; applied here as the capital-replenishment and rating-constraint backdrop.
• Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA / "Superfund," enacted 1980) — the federal environmental-liability statute behind the long-tail pollution losses that helped drive the 1980s shift to claims-made and the broad pollution exclusion (Case Study 1); cited for its historical role, with no invented figures.
• COVID-19 business-interruption coverage litigation (2020 onward) — the real, public, multi-jurisdiction body of disputes over "direct physical loss or damage" and related provisions/exclusions in commercial-property/BI forms; Case Study 2 reference event. Outcomes varied by jurisdiction and policy language; no holding or figure invented.
• Edmond Halley, "An Estimate of the Degrees of the Mortality of Mankind, drawn from curious Tables of the Births and Funerals at the City of Breslaw" (Philosophical Transactions, 1693) — one of the first genuine mortality/life tables.
• Equitable Life (the Society for Equitable Assurances on Lives and Survivorships, founded 1762) — public historical record of the first life insurer run on a scientific footing (age-based premiums from mortality data, level premiums, adequate reserves).
• Fair Credit Reporting Act (FCRA) and state privacy law — govern consumer data used in underwriting and fraud investigation (owned Ch.4/Ch.8; constraint in §33.6, §33.7).
• Fair Credit Reporting Act (FCRA) — federal statute governing the use of consumer-report (credit) information and requiring adverse-action notice when such information adversely affects an applicant; foundational to §14.3.
• Fair Credit Reporting Act (FCRA) — governs third-party consumer-report use and the adverse-action notice obligations attaching to an automated decline or rate-up; cross-reference to Chapter 8 (§20.4 Compliance Corner).
• Fair Credit Reporting Act (FCRA) — governs use of consumer-report data (incl. credit-based insurance scores) that enters models as features; adverse-action obligations.
• Fair Credit Reporting Act (FCRA), McCarran-Ferguson Act, Genetic Information Nondiscrimination Act (GINA) — the data-use, state-regulation, and genetic-information frameworks (Ch.4, Ch.8, Ch.17, Ch.35) governing what the AI of 2035 may and may not use; named as real, specifics deferred to owning chapters.
• FAIR plans and state residual markets — state insurers of last resort (and state-created catastrophe entities) catching property risk the standard market won't write; swelling rolls in stressed states are public record.
• Federal Home Owners' Loan Corporation (HOLC) "residential security" maps (1930s) — public historical record of the color-coded maps that gave redlining its name; primary-source context for §35.5.
• Federal Motor Carrier Safety Administration (FMCSA), U.S. Department of Transportation — the federal regulator of interstate motor carriers; its public SAFER company snapshot and Safety Measurement System (SMS) provide crash history, roadside-inspection and out-of-service results, and safety percentiles by USDOT number, and its rules govern driver qualification, hours-of-service, vehicle maintenance, and drug-and-alcohol testing (§23.3, §23.4). The single most useful public data source for this chapter.
• Federal Trade Commission study of credit-based insurance scores in automobile insurance — the well-known public examination finding these scores predictive of insurance loss. Cite the finding; do not attach a fabricated effect size.
• Florida Citizens Property Insurance Corporation; Hurricane Andrew (1992) and subsequent major hurricane seasons — public Tier-1 reference points for Case Study 1 (coastal-property catastrophe, accumulation, reinsurance, residual market). Public facts only; no invented statistic.
• FM Global (Factory Mutual) and the highly-protected-risk (HPR) loss-prevention tradition — public record of loss control as an underwriting strategy (Case Study 1); the development, testing, and standardization of automatic sprinkler protection.
• Genetic Information Nondiscrimination Act (GINA) of 2008 — U.S. federal statute restricting use of genetic information; protections are strongest in health insurance and employment and limited at the federal level for life, disability, and long-term-care underwriting (the "genetics gap" of §17.7 and Case Study 1). Cite the statute and its scope; do not invent provisions.
• Genetic Information Nondiscrimination Act (GINA) — federal limit on use of genetic information; the clearest statutory line on data a model may not use.
• George A. Akerlof, "The Market for 'Lemons': Quality Uncertainty and the Market Mechanism," Quarterly Journal of Economics (1970) — the foundational economics of asymmetric information underlying adverse selection.
• George E. Rejda and Michael McNamara, Principles of Risk Management and Insurance (Pearson, multiple editions) — the standard academic survey; early chapters on insurable risk, adverse selection, and moral hazard.
• Hurricane Andrew (1992) and Hurricane Katrina (2005) — catastrophe events (Ch.6, Ch.30) that reshaped catastrophe modeling and reinsurance; the baseline against which this chapter's climate trend is measured.
• Hurricane Andrew (1992) — documented public catastrophe; one of the events that revealed inadequate catastrophe accumulation and reinsurance depth and accelerated probabilistic catastrophe modeling and Bermuda-market formation (Case Study 1). All magnitudes treated qualitatively.
• Hurricane Andrew (1992) — public record (National Hurricane Center / NOAA, government, and journalistic documentation) of the storm and its insurance aftermath; a Tier-1 reference for catastrophe severity, the failure of the independence assumption, and the rise of catastrophe modeling. Insured-loss totals vary by source; keep qualitative.
• Hurricane Katrina (2005) — documented public catastrophe; further tested the property-catastrophe reinsurance market and the catastrophe models a decade into their commercial life (Case Study 1). All magnitudes treated qualitatively.
• Incontestability requirements in life insurance — statutory provisions (reflected in NAIC model law and state codes) generally barring contest of a life policy after a set period; the clearest statutory limit on rescission (§33.4; Ch.17 domain).
• Independent state rating bureaus — e.g., the Workers' Compensation Insurance Rating Bureau of California (WCIRB) and the New York Compensation Insurance Rating Board (NYCIRB) — govern classification and experience rating in the large non-NCCI states.
• Insurance Services Office (ISO / Verisk) commercial property and general-liability forms — the standard bureau forms whose deductible options, per-occurrence/aggregate limits, sublimits, and the coinsurance condition are the architecture most carriers use or adapt.
• Insurance Services Office (ISO) / Verisk — commercial inland-marine forms and the property-versus-inland-marine line (with Chapters 5 and 19).
• ISO (Insurance Services Office, part of Verisk) standard policy forms — the commercial property form (e.g., CP 00 10), the business-income form (CP 00 30), the commercial general liability form (CG 00 01), the commercial auto form (CA 00 01), and their endorsements; real filed documents identified by form number and edition date.
• ISO / Verisk and the NCCI (National Council on Compensation Insurance) — rating and advisory organizations originating in the pooling of industry loss experience into standardized rates and classifications.
• ISO / Verisk Businessowners (BOP) program — the standard Businessowners Coverage Form, eligibility rules, classifications, and rating; the reference architecture for what the BOP bundles, who is eligible, and how it differs from the Commercial Package Policy (§20.1–§20.2).
• ISO / Verisk Commercial Auto program — the Business Auto Coverage Form and the Truckers / Motor Carrier coverage forms, including the coverage-symbol system that defines which autos each coverage reaches (§23.1).
• ISO / Verisk Commercial Property program — Building and Personal Property Coverage Form, Business Income (and Extra Expense) Coverage Form, and Causes of Loss forms (Basic, Broad, Special); the standard reference architecture for commercial property coverage, valuation, coinsurance, and the business-income time element.
• ISO / Verisk Homeowners program forms (HO-2, HO-3, HO-4, HO-5, HO-6, HO-8) — the bureau homeowners forms from which most carriers build; the authoritative text for the open-peril/named-peril structure, the Section I exclusions (flood, earth movement, wear and tear), and the replacement-cost/ACV loss-settlement provisions (§15.1, §15.2).
• ISO / Verisk personal-auto program — the standard Personal Auto Policy (PAP) coverage form and its parts (liability, medical payments/PIP, uninsured/underinsured motorist, collision, comprehensive); the reference architecture for §14.1.
• ISO / Verisk standard Commercial General Liability (CGL) Coverage Forms — the occurrence and claims-made coverage forms (the 1986 revision is the modern baseline), the standard additional-insured endorsements and their editions, and the products-completed operations aggregate. The primary source for the chapter's coverage, trigger, and exposure-base material.
• ISO / Verisk standard forms and endorsements for management-liability and cyber coverage — the bureau forms that define how professional, management, and cyber coverage are worded in the U.S. market.
• ISO / Verisk — advisory organization for property-casualty loss costs and rating manuals.
• ISO / Verisk — originator of the commercial property construction-class taxonomy and the Public Protection Classification (PPC™) program that assigns a location's 1–10 fire protection class; canonical for how construction class and protection class are defined and graded.
• ISO / Verisk — statistical/rating organization that develops loss costs and rating methodologies; the loss-cost (pure premium) concept of §10.3 in industry practice.
• ISO/Verisk commercial-property and business-income forms (the DICE structure) — the standard-form architecture behind the coverage-certainty point in Case Study 2 (cross-ref Ch.5, 19).
• LexisNexis Risk Solutions — CLUE (Comprehensive Loss Underwriting Exchange) — the consumer-reporting agency operating the industry's shared property/auto claims-history database; public consumer materials on what is reported and FCRA access/dispute rights.
• Lloyd's of London — delegated-authority / coverholder framework and audit standards — the canonical public example of how a market controls binding authority exercised by others; the discipline Case Study 2's failure violates.
• Lloyd's of London — institutional history and self-published heritage material on the growth from Edward Lloyd's coffeehouse (~1680s) into a chartered society and modern subscription marketplace of syndicates; the documented origin of the term "underwriter."
• Lloyd's of London — public descriptions of the syndicate marketplace, managing agents, members' capital, and the subscription model.
• Lloyd's of London — public materials on the market's structure, the Franchise Board and central oversight of syndicate performance and business planning, and the 1990s Reconstruction & Renewal reforms (the move to corporate, limited-liability capital; the Equitas runoff vehicle). Primary public anchor for the governance/appetite material and Case Study 1.
• Lloyd's of London — public materials on the subscription (shared-line) market, delegated/binding authority, and how syndicates write marine, aviation, energy, and program business.
• Lloyd's of London — the centuries-old marketplace of syndicates central to catastrophe, marine, and specialty reinsurance (origins owned by Ch. 2); the historic context for the LMX market (Case Study 2) and the reinsurance market overview (§27.6).
• Lloyd's of London — the coverholder / delegated (binding) authority framework and its publicly documented oversight regime; basis for the origin of the word "underwriting" and for Case Study 2 (delegated-authority failure).
• Lloyd's of London — the historic and ongoing specialty/non-admitted market anchoring the E&S and wholesale channel (cross-ref Ch.2, 3, 26).
• McCarran-Ferguson Act (1945) and the U.S. state-based system of insurance regulation — the legal frame within which underwriting philosophy, guidelines, and filings operate (cross-ref Ch. 4).
• McCarran-Ferguson Act (1945) — basis for state-by-state regulation of insurance, the reason personal-auto rating rules form a state patchwork (§14.5; owned Ch.4).
• McCarran-Ferguson Act (1945) — establishes state primacy in insurance regulation; why fairness rules are a fifty-state patchwork (Ch.4; §35.6).
• McCarran-Ferguson Act (1945) — state primacy in insurance regulation; the basis for state-level admitted/surplus-lines and producer-licensing rules (cross-ref Ch.4).
• McCarran-Ferguson Act (1945) — state regulation of insurance; the basis for state rate filing and approval.
• McCarran-Ferguson Act (1945) — the basis for state regulation of insurance, the legal reason homeowners rate regulation and residual markets differ state by state (cross-ref Ch. 4).
• McCarran-Ferguson Act (1945) — the basis for state-by-state regulation of insurance, the reason the rules on genetic information and accelerated underwriting in life form a state patchwork (§17.7; owned Ch.4).
• McCarran-Ferguson Act and state rate-and-form regulation (owned by Ch.4) — the legal frame for form filing and the surplus-lines market's freedom of form/rate that draws manuscript-heavy risks (§12.6).
• McCarran-Ferguson Act and state rate-regulation frameworks (prior-approval / file-and-use) — the basis for the requirement that automated systems charge filed rates and stay within fair risk classification; cross-reference to Chapter 4 (§20.4, §20.7 Compliance Corners).
• Medicare and the federal Medicare Supplement (Medigap) framework — public rules on the Medigap open-enrollment period, guaranteed-issue situations, and when medical underwriting of Medigap applicants is and is not permitted.
• Michigan no-fault auto reform of 2019 (effective 2020) — legislation introducing a choice of PIP medical limits, a medical fee schedule, and related changes to a system formerly built on unlimited lifetime PIP medical benefits (Case Study 2; §14.5).
• NAIC (National Association of Insurance Commissioners) — model laws and regulatory work on insurers' use of data, third-party data sources, and artificial intelligence (including bulletins/principles on AI and Big Data); consult current versions directly.
• NAIC (National Association of Insurance Commissioners) — model laws and the rate/form-filing framework within which commercial general liability rates and forms are filed and regulated (the regulatory backdrop in §21.2's Compliance Corner).
• NAIC (National Association of Insurance Commissioners) — model laws on producer licensing, surplus-lines regulation, and unfair trade practices / anti-rebating (the §39.4 inducement line).
• NAIC (National Association of Insurance Commissioners) — model laws on unfair trade practices and unfair (vs. fair/risk-based) discrimination, and the market-conduct examination framework under which an underwriting file may later be reviewed (the §40.5 risk-based-basis and "memo as legal document" points; cross-ref Ch.4, 35).
• NAIC Credit for Reinsurance Model Law and Model Regulation — the U.S. framework governing when a ceding insurer may take balance-sheet credit for reinsurance (authorized vs. unauthorized reinsurers; collateral via trusts and letters of credit; certified and reciprocal-jurisdiction reinsurer provisions); the regulatory basis for §27.6's collectability discussion.
• NAIC model bulletin and regulatory work on the use of artificial intelligence, predictive models, and big data in insurance — establishes that the carrier owns its algorithm's decisions and must govern them; the regulatory backdrop to STP (§20.4; deepened in Chapter 35).
• NAIC model bulletin on the use of artificial intelligence (AI) by insurers, and the NAIC's work on accelerated underwriting, big data, and algorithmic accountability — regulators' governance expectations for AI systems in insurance.
• NAIC model laws and guidance on large-deductible insurance and collateral — public regulatory treatment of large-deductible programs, collateral handling, and recovery allocation in insolvency (Case Study 1).
• NAIC model laws and the NAIC's work on AI and Big Data — governance/fairness of fraud analytics; the bridge to proxy discrimination/algorithmic bias owned by Ch.35 (§33.7).
• NAIC model rating laws and the statutory rate standard ("inadequate, excessive, or unfairly discriminatory"); state rate-filing statutes (prior-approval / file-and-use / use-and-file).
• NAIC Model Unfair Trade Practices Act — source of the "unfair discrimination between individuals of the same class and essentially the same hazard" standard adopted across the states; foundation of §35.2 and the cost-based-rating principle.
• NAIC Own Risk and Solvency Assessment (ORSA) — ORSA Model Act and Guidance Manual; forward-looking, internally-owned assessment of all material risks and capital adequacy under normal and stressed conditions.
• NAIC Risk-Based Capital (RBC) framework — model law, the life/P&C/health RBC formulas, the covariance adjustment, and the five action levels (Company Action, Regulatory Action, Authorized Control, Mandatory Control). National Association of Insurance Commissioners.
• NAIC — model laws and the risk-based capital (RBC) framework, which embed catastrophe and concentration charges into the capital an insurer must hold; the regulatory backstop behind portfolio discipline (RBC owned by Ch. 28).
• Named catastrophe events as Tier-1 reference points — Hurricane Andrew (1992) and Hurricane Katrina (2005) as catastrophe/reinsurance turning points; recent California wildfire seasons as the wildfire turning point (use public record; no invented statistics).
• National Association of Insurance Commissioners (NAIC) — public materials on insurer types, market regulation, surplus lines, the guaranty-fund system, and the risk-based capital (RBC) framework.
• National Association of Surety Bond Producers (NASBP) — industry body for surety bond producers; practitioner explanations of contract and commercial surety and the bonding process.
• National Council on Compensation Insurance (NCCI) — the licensed rating/statistical organization that maintains WC class codes and phraseologies, files loss costs, and administers the Experience Rating Plan (the X-mod) in most states; the Basic Manual and Experience Rating Plan Manual are authoritative for classification and the mod.
• National Council on Compensation Insurance (NCCI), Experience Rating Plan Manual — the filed, publicly described workers'-compensation experience-modification plan; the largest real-world implementation of credibility weighting (primary/excess split, size-scaled credibility). Basis for Case Study 1.
• National Fire Protection Association (NFPA) standards governing automatic sprinkler systems and hot-work permit programs — the basis for the Protection factor in COPE and the loss-control subjectivities on a hot-work occupancy.
• National Fire Protection Association (NFPA) — the standards body behind automatic sprinkler, fire-alarm/detection, and hot-work (cutting and welding) safety standards that underlie the severity controls and hot-work permit programs in §9.5.
• National Flood Insurance Program (NFIP) — federal flood program (Ch.15); the largest living example of a public response to a private-market insurability gap, and a case study in subsidized-catastrophe promise and peril.
• National Flood Insurance Program (NFIP), administered by FEMA, authorized by the National Flood Insurance Act of 1968 — flood-zone mapping (Special Flood Hazard Areas), the mandatory-purchase requirement for federally backed mortgages, coverage limits and terms, and community floodplain management. The foundational public reference for the flood section (§15.6).
• National Insurance Crime Bureau (NICB) — real nonprofit partnering insurers with law enforcement against insurance crime; primary public source on staged-accident rings and the link-analysis/data-sharing response (§33.6, §33.7, CS1).
• NCCI (National Council on Compensation Insurance) — standardized workers'-compensation forms and the standard WC policy (benefits set by statute, not by policy limit).
• NCCI (National Council on Compensation Insurance) — workers'-compensation loss costs and the experience-rating (X-mod) plan.
• Nonadmitted and Reinsurance Reform Act of 2010 (NRRA) and state surplus-lines statutes — the legal framework governing surplus-lines premium tax (home-state) and the regulation of non-admitted placements.
• Occupational Safety and Health Administration (OSHA) — the federal workplace-safety inspection framework; the public-sector analogue to insurance loss control and the source of egress, hot-work, and industrial-hazard standards an underwriter assesses.
• Ohio Bureau of Workers' Compensation (BWC) and Washington State Department of Labor & Industries — public agencies operating monopolistic state WC funds (Case Study 2); document statutory coverage where private carriers may not write, and the resulting employers'-liability (stop-gap) gap.
• Public record of soft-market reserve deficiencies and the underwriting cycle (notably the late-1990s/early-2000s soft market), documented across NAIC, AM Best, and S&P sources — the real pattern underlying Case Study 2 (treat the pattern as Tier 1; any specific company figure needs verification).
• Public record of the 2020–2021 ransomware surge and cyber-market hardening — government advisories (e.g., CISA, FBI on ransomware) and reputable journalism documenting the shift from data-breach to ransomware loss and the resulting underwriting tightening; the pattern is well documented, specific figures must be verified against current sources.
• SEC filings of the publicly listed InsurTech companies (Form S-1 IPO prospectuses; Forms 10-Q and 10-K) — the authoritative public record of premium growth, loss ratios, combined ratios, and the strategic shifts (repricing, segment exits, reinsurance) discussed in Case Study 1; the primary source for any exact figure.
• September 11, 2001 (public record) — the event that established aviation war/terrorism risk as a correlated, systemic exposure requiring separate coverage and reinsurance (named qualitatively in §26.2, no statistic asserted).
• Solvency II (European Union) — the risk-based capital and supervisory regime; three pillars; the Solvency Capital Requirement (SCR) at 99.5% over one year (1-in-200), the Minimum Capital Requirement (MCR), and approved internal models.
• State guaranty association statutes — the framework under which admitted-carrier claims are protected on insurer insolvency (and from which surplus-lines policies are generally excluded).
• State guaranty-fund / guaranty-association materials — the public record of how insolvent insurers' statutory obligations (esp. workers' compensation) are backstopped and why large-deductible collateral failures become an industry-wide concern.
• State insurance codes and departments of insurance (all U.S. states) — the operative statutes and regulations on rate filing, surplus lines, unfair discrimination, and market conduct; the working underwriter's primary rulebook.
• State insurance departments and the NAIC — the rate-regulation framework (prior-approval / file-and-use) under which homeowners rates and factors are filed and policed, and the residual-market mechanisms: state FAIR Plans, Florida's Citizens Property Insurance Corporation, and the California FAIR Plan (§15.3, §15.7).
• State insurance departments — the actual regulators (under McCarran-Ferguson) of what data and rating factors a carrier may use by state and line; binding rules on alternative data are state law.
• State insurance guaranty associations — statutory backstop paying covered claims of insolvent insurers up to limits, funded by assessments on solvent carriers (NCIGF; NOLHGA). Referenced in §28.1 and Case Study 2.
• State insurance-fraud statutes and state fraud bureaus — nearly every U.S. state criminalizes insurance fraud and maintains a fraud bureau; many require insurers to maintain an SIU and/or anti-fraud plan and to report suspected fraud. Rules vary materially by state; consult the relevant department of insurance.
• State residual-market mechanisms — the California FAIR Plan and Florida's Citizens Property Insurance Corporation — public insurers of last resort that absorb catastrophe risk the private market withdraws from; the concrete machinery behind the protection gap (§30.7).
• State surplus-lines statutes — the diligent-search/diligent-effort requirement, surplus-lines premium tax, surplus-lines broker licensing, and the guaranty-fund exclusion governing E&S placements (§39.2).
• The 2007–2009 financial crisis and the contraction of the U.S. mortgage-origination industry; the post-crisis strengthening and standardization of mortgage loan originator licensing and bonding (the nationwide originator licensing system as the institutional legacy) — public context for commercial-surety license-bond exposure under an industry-wide shock. (Case Study 2; labeled composite, no invented figures.)
• The 2011 Thailand monsoon floods — documented public event; one of the largest inland-flood and supply-chain business-interruption / contingent-business-interruption loss events in commercial insurance history (Case Study 1). Treat scale qualitatively.
• The Affordable Care Act (Patient Protection and Affordable Care Act, 2010; core market reforms effective January 1, 2014) — the statute itself: guaranteed issue, adjusted community rating and the rating-factor limits, the medical-loss-ratio rule, risk adjustment, and the transitional reinsurance and risk-corridor programs.
• The collapse of Carillion plc (January 2018) and the report of the UK House of Commons joint inquiry (Business, Energy and Industrial Strategy Committee and Work and Pensions Committee) — public record of a major construction-and-outsourcing firm's failure and the financial/managerial warning signs relevant to surety. (Case Study 1; specifics kept qualitative.)
• The COVID-19 business-interruption litigation (2020 onward) — public court record and reputable legal/trade reporting on disputes over "direct physical loss or damage" and virus/bacteria exclusions; outcomes varied by wording and jurisdiction (Case Study 1).
• The CPCU Society and its local chapter network — the professional-community institution associated with the capstone credential; relevant to §37.7 (brand and network) and to the ethics framework referenced in §37.4.
• The doctrine of insurable interest (a core insurance-law principle) — the canonical requirement a parametric weather/event product must be designed around so it is insurance and not a wager.
• The doctrine of utmost good faith (uberrimae fidei) and the concepts of representation, warranty, and concealment — the legal foundation of application-fraud analysis (owned/defined in Ch.4; basis of §33.3).
• The documented public record of the Great Fire of London (1666) — the Pudding Lane origin, the timber-and-wind conditions, the scale of destruction, and the post-fire rebuilding regulations that pushed construction toward brick and wider streets; the founding catastrophe of fire insurance.
• The Fair Credit Reporting Act (FCRA) — governs the third-party data that pre-fills an instant quote; applies regardless of how fast or automated the distribution.
• The Fair Credit Reporting Act (FCRA) — the federal consumer-report statute governing the ordering and adverse-action handling of motor vehicle records (MVRs) used in underwriting and employment (§23.3 Compliance Corner; owned/treated more fully in Chapters 8 and 35).
• The Fair Credit Reporting Act (FCRA), 15 U.S.C. § 1681 et seq. — federal statute governing the use of consumer credit reports (including credit-based insurance scores) and requiring adverse-action notice; legal frame for Case Study 2.
• The Fair Credit Reporting Act (FCRA), 15 U.S.C. §1681 et seq. — the federal statute governing the use of consumer reports for insurance underwriting: permissible purpose, the adverse-action notice, and consumer dispute and access rights (the legal core of §8.6).
• The Genetic Information Nondiscrimination Act (GINA, 2008) — federal limits on the use of genetic information in health coverage (introduced Ch. 17).
• The history of the pollution exclusion in the CGL — public record and coverage-law literature on the early "sudden and accidental" exclusion, the split over the word "sudden," and the later "absolute" pollution exclusion and disputes over the definition of "pollutant" (Case Study 2).
• The homeowners "special limits of liability" — the internal category sublimits (jewelry, furs, silverware, firearms, money) that scheduled personal property exists to overcome (§16.6).
• The Imperial Food Products fire, Hamlet, North Carolina (September 3, 1991) — documented public record (contemporaneous news coverage, the state investigation, and the subsequent occupational-safety reforms) of the locked-exit factory fire analyzed in Case Study 2.
• The Institutes (AINS / CPCU) and the Society of Actuaries / American Academy of Actuaries — professional bodies whose public educational and practice materials cover mortality, risk classification, and life-underwriting fundamentals (§17.2–§17.5).
• The Institutes (American Institute for CPCU / IIA), AINS / AU / CPCU commercial-liability and casualty curricula — the authoritative professional treatment of CGL coverage, the occurrence/claims-made distinction, classification and exposure bases, and the products tail.
• The Institutes (American Institute for CPCU / Insurance Institute of America), AINS / AU / CPCU curricula — the authoritative professional treatment of COPE, construction classification, fire protection class, hazard analysis, and loss control; the certification-track source for this chapter.
• The Institutes (American Institute for CPCU) — AINS, AU (Associate in Commercial Underwriting / Personal Insurance), and CPCU curricula: the professional bodies defining the underwriting function, underwriting authority, underwriting guidelines, and the underwriting file in North America.
• The Institutes (American Institute for CPCU), AINS / AU / CPCU curricula — define the working vocabulary of surety used in this chapter (principal/obligee/surety, contract vs. commercial surety, the three C's).
• The Institutes (American Institute for CPCU), AINS / AU / CPCU curricula — the professional body's treatment of pure premium, loss costs, loss ratios, trend and development, and credibility as core underwriting and ratemaking concepts.
• The Institutes (American Institute for CPCU), AINS and AU curricula — the professional body's treatment of the underwriting decision, underwriting authority, the referral/peer-review structure, and file documentation; the accept/decline/modify framework is core, repeatedly-tested material.
• The Institutes (American Institute for CPCU), AINS and CPCU commercial-lines curricula — authoritative on WC classification, the experience rating plan, the WC & employers' liability policy (Part One vs. Part Two), and the premium audit.
• The Institutes (American Institute for CPCU), AINS and CPCU curricula and commercial/specialty courses — the standard professional treatment of ocean and inland marine, the program/MGA model, and the alternative markets.
• The Institutes (American Institute for CPCU), AINS and CPCU curricula — policy analysis, parts of the contract, named-vs-open perils, the manuscript/bureau distinction, the DICE structure.
• The Institutes (American Institute for CPCU), AINS and CPCU curricula — standard professional treatment of insurance contract law, the legal doctrines (insurable interest, indemnity, representation/warranty, concealment, subrogation), and state regulation.
• The Institutes (American Institute for CPCU), AINS and CPCU curricula — the professional body defining the working vocabulary of insurance and underwriting in North America.
• The Institutes (American Institute for CPCU), AINS and CPCU health/group-benefits curricula — the professional body defining the working vocabulary of group health, self-funding, and stop-loss in North America.
• The Institutes (American Institute for CPCU), AINS and CPCU underwriting curricula — the professional body's treatment of information gathering: the submission, loss-run analysis, inspections, third-party reports, and regulatory constraints.
• The Institutes (American Institute for CPCU), commercial and management-liability curricula — the professional treatment of professional liability (E&O), D&O, EPL, and cyber, and of the occurrence-vs-claims-made trigger; the working vocabulary of this chapter.
• The Institutes (American Institute for CPCU), CPCU and AU curricula — the professional treatment of catastrophe risk, PML, AAL, accumulation management, and catastrophe reinsurance; authoritative for the precise definitions tested on the designations.
• The Institutes (CPCU / AINS / API curricula) — insurance distribution systems; agents, brokers, MGAs, wholesalers; the agency relationship and producer responsibilities (foundation for §39.1–§39.2).
• The Institutes (CPCU / AINS / AU bodies of knowledge) — canonical certification-aligned treatment of information gathering, automated/algorithmic underwriting, and the underwriting workflow.
• The Institutes (CPCU / AINS / AU curricula) — the underwriting-decision and file-documentation knowledge area: the underwriting process end to end, documentation standards, peer review and referral, and the structure of a complete underwriting file (foundation for §40.1, §40.5; cross-ref Ch.7, 13, 37).
• The Institutes (CPCU / AINS / AU) — professional curricula covering underwriting management, risk appetite, authority, and underwriting audit (designations owned by Ch.37).
• The Institutes (CPCU / AU / ARM) — the professional bodies' curriculum on underwriting management, portfolio management, the underwriting cycle, and accumulation control; the certification-aligned canonical reference for the chapter's management material.
• The Institutes (CPCU, AINS, API) commercial property and commercial package course materials — structured treatment of valuation methods, business income, coinsurance, COPE, and HPR classification at certification depth.
• The Institutes (CPCU, AINS, API) commercial-package and BOP course materials — certification-depth treatment of the BOP, package policies, eligibility/classification, and small-commercial underwriting (§20.1–§20.3).
• The Institutes (CPCU, AINS, AU) commercial-auto course materials — structured treatment of the business auto policy, coverage symbols, radius classes, and fleet-rating mechanics at certification depth.
• The Institutes (the educational body behind the CPCU and allied designations; historically the American Institute for Chartered Property Casualty Underwriters) — the authoritative source for the AINS, AU, CPCU, and ARM curricula, examinations, requirements, and the CPCU code of professional conduct; the formal codification of the underwriting body of knowledge this book teaches, and the primary reference for §37.4 and Case Study 1.
• The London Market Excess of Loss (LMX) spiral, late 1980s–early 1990s — a real, much-studied episode in which opaque, interconnected retrocession amplified catastrophe losses and contributed to distress at Lloyd's; the canonical illustration of the limits of passing on risk (Case Study 2).
• The major catastrophe-model vendors as an industry institution (the firms that build the hazard/vulnerability/financial models used across insurance and reinsurance) — standard infrastructure of the discipline; consult public methodology overviews for architecture, not for any insurer's numbers.
• The McCarran-Ferguson Act (1945) and the public record of United States v. South-Eastern Underwriters Association (1944) — the ruling that insurance is interstate commerce and the federal statute returning primary regulation to the states (owned/developed in Ch.4).
• The McCarran-Ferguson Act (1945) — state primacy in insurance regulation (owned by Ch. 4); background for why self-funded employer plans, governed largely by federal employee-benefit law, sit outside state insurance regulation of insured plans.
• The McCarran-Ferguson Act (1945) — the federal law leaving insurance regulation largely to the states, the reason permitted rating factors and credit-score rules form a state-by-state patchwork (Ch.4-owned; applied §8.6).
• The McCarran-Ferguson Act and state rate-regulation regimes (prior-approval / file-and-use) — the basis for the rule that an API-delivered rate must match a filed rate and that the encoded logic of an automated quote is examinable by a state regulator.
• The McCarran-Ferguson Act of 1945 (United States Code) — the federal statute returning regulation and taxation of the business of insurance to the states and exempting it from most federal law to the extent state law regulates it; primary text and the charter of the state-based system.
• The MetLife (2000) and Prudential (2001) demutualizations and initial public offerings — real, public corporate events; company filings and regulatory approvals of the conversion plans are the public record. [Case Study 2]
• The mid-1980s liability insurance crisis — the documented hard-market episode (Chapter 3) in which long-tail asbestos and pollution losses converged with broader market hardening, prompting the CGL form revision; used qualitatively in §21.2 and Case Study 1.
• The mid-1980s U.S. liability insurance crisis — a real, well-documented hard-market episode (the availability-and-affordability crisis and the industry's shift toward claims-made coverage); contemporary government and industry accounts are the public record. [Case Study 1]
• The Miller Act (U.S. federal performance- and payment-bond requirement on federal construction above a statutory threshold) and the state "Little Miller Acts" — the statutory backbone of contract surety on public work; primary legal authority for bid, performance, and payment bonds and the payment-bond remedy for subcontractors.
• The NAIC model bulletin and committee work on accelerated/algorithmic underwriting, big data, and artificial intelligence in insurance — the regulatory backdrop to automated and AI-driven underwriting and the encoded-logic compliance discussion.
• The National Association of Insurance Commissioners (NAIC) — the coordinating body of state insurance regulators and source of model laws.
• The Personal Auto Policy (PAP) and Homeowners (HO) liability sections — the underlying coverages the umbrella sits above; the homeowners liability section's bodily-injury-and-property-damage scope (and its exclusion of "personal injury" offenses) explains the umbrella's broadening role (§16.1, §16.3). PAP owned Ch.14; HO forms owned Ch.15.
• The personal umbrella policy form and its schedule of underlying insurance — the standard contract establishing excess attachment over required underlying limits, the drop-down / self-insured-retention provision, and the umbrella's exclusions (business/professional, intentional, owned aircraft, owned property); the reference architecture for §16.1–§16.3.
• The personal-articles floater / scheduled personal property endorsement — the contract scheduling high-value items on open-peril, often agreed-value terms, with deductible waiver (§16.6).
• The Philadelphia Contributionship (founded 1752) — public historical record of America's oldest property insurer; surveyor inspections, hazard-based selection, the "hand in hand" fire marks.
• The public record of Hurricane Andrew (1992) — the event that created the modern catastrophe-modeling industry by proving an insurer's own history cannot price hurricane risk; the origin of the discipline this chapter teaches.
• The public record of Hurricane Andrew (1992), the September 11, 2001 attacks, and Hurricane Katrina (2005) — named catastrophes whose aftermath reshaped catastrophe modeling, percentage wind deductibles, terrorism backstops/exclusions, and reinsurance.
• The public record of Hurricane Katrina (2005) — one of the costliest U.S. catastrophes; source of the storm-surge/flood-modeling, demand-surge, wind-versus-water coverage, and levee-failure lessons (Case Study 1). All magnitudes kept qualitative.
• The public regulatory debate over forward-looking wildfire catastrophe models in California rate-making — the live example of the §30.4 tension between the indicated cat load and the approvable rate (Case Study 2); documented in regulatory proceedings and reputable reporting.
• The Securities Act of 1933 and the Securities Exchange Act of 1934 — the statutory basis for the securities class actions that drive public-company D&O loss (including IPO exposure).
• The Surety & Fidelity Association of America (SFAA) — the principal U.S. industry body for surety and fidelity; authoritative public materials on bond types, the three-party structure, indemnity, and the contractor-prequalification function.
• The U.S. National Flood Insurance Program (NFIP) — the federal flood backstop; central to the wind-vs-water coverage problem and the catastrophe protection gap (§30.7). (Term owned by Ch. 15.)
• The U.S. opioid epidemic, public record (federal/state public-health documentation; state WC drug formularies and treatment guidelines) — basis for Case Study 1: opioid prescribing, its intersection with WC medical costs, and the formulary/guideline response.
• The U.S. property-casualty underwriting cycle, incl. the soft market of the late 1990s and the 2001–2002 hard market (qualitative, public economic record).
• Title VII of the Civil Rights Act of 1964, the Americans with Disabilities Act (ADA), and the Age Discrimination in Employment Act (ADEA) — the real federal employment statutes (with state/local analogues) that create the EPL exposure the policy responds to.
• U.S. agency law on actual vs. apparent authority (as restated in the Restatement of Agency) — the settled doctrine under which a principal can be bound by an agent acting beyond actual but within apparent authority; the legal engine of the over-limit-bind problem in Case Study 2.
• U.S. Bureau of Labor Statistics, Occupational Outlook Handbook (insurance underwriters and related occupations) — a public government source for the general shape, outlook, and educational expectations of the occupation; used for qualitative career context only (specific figures change each edition).
• U.S. Department of Agriculture, Risk Management Agency (RMA) and the Federal Crop Insurance Corporation (FCIC) — the official structure of the federal crop program: policies, premium subsidy, approved insurance providers, and the Standard Reinsurance Agreement (the authoritative source for §26.4 and Case Study 1).
• U.S. Federal Trade Commission — report to Congress on credit-based insurance scores in automobile insurance — the public federal study finding the scores predictive of loss AND unevenly distributed across racial/ethnic groups, with effects not fully explained by other variables (basis of Case Study 1); findings described qualitatively, no figures invented.
• U.S. National Flood Insurance Program (NFIP) and the public record of Hurricane Harvey (2017) — government and journalistic documentation of the flood protection gap and the move to risk-based pricing (Risk Rating 2.0).
• United States v. South-Eastern Underwriters Association, 322 U.S. 533 (1944) — the Supreme Court decision holding interstate insurance subject to federal commerce power and antitrust law, which prompted McCarran-Ferguson; the published opinion is the source for Case Study 1.
• Wholesale, specialty, and surplus-lines broker/agent trade associations and independent-agent associations — public materials describing the retail/wholesale structure and the wholesaler's role (§39.2).

Tier 2 — Attributed (real industry practice, studies, or figures whose exact citation we have not pinned down)

• "Price optimization" restrictions — numerous U.S. state bulletins/actions restricting pricing to customer tolerance rather than risk; confirm specific states and dates.
• Accelerated-underwriting industry practice — trade and actuarial literature documenting the shift to fluidless, data-driven life underwriting; the use of prescription-history, MIB, and MVR data; and the governance debate (random holdouts, back-testing, fairness review). Aggregate prevalence claims kept attributed-but-unverified.
• Actuarial / pricing loss-cost literature on frequency–severity modeling — the standard rationale for modeling count and amount separately and for treating severity as heavy-tailed; structure is canonical, parameters are context-specific (builds toward Ch. 10 and Ch. 32).
• Actuarial-society and benefits-consulting literature on self-funding and stop-loss — the structures (specific vs. aggregate attachments, the conventional ~125% aggregate factor, 12/12 vs. 12/15 vs. 12/18 contract bases, lasering, run-in and run-out) are standard practice; exact levels, pricing, and prevalence vary by carrier, market, and year.
• Agents' and underwriters' errors-and-omissions (E&O) loss-prevention literature (bulletins, checklists, "failure to procure coverage" discussions from E&O insurers and producer trade associations) — the uncommunicated-decision / untracked-subjectivity / renewal-gap pattern is exhaustively documented; specific cases and figures vary by carrier and year.
• AM Best, Conning, and reinsurance-broker reviews of the program/MGA (delegated-authority) segment — the growth of the segment and the recurring failures of poorly-controlled programs are well attested; specific market-size and loss figures are cyclical and must be checked against current reports.
• Analyses of the individual-mandate penalty reduction to zero and its effect on the individual pool — the adverse-selection logic and direction are widely discussed; the magnitude is debated and varies by study, so the claim is kept qualitative.
• Anti-fraud analytics literature — actuarial and data-science work on anomaly detection, link/network analysis, and predictive fraud models, with the same validation discipline (out-of-sample, lift) as Ch.32; fairness concerns (a model learning who was investigated, not who offended) documented in the algorithmic-fairness literature (Ch.35 owns full treatment) (§33.7).
• Aviation and energy market commentary (specialist brokers and trade press) — the small expert market, heavy reinsurance dependence, engineering-led underwriting, and separate war-risk treatment are standard; precise capacity and rate figures are source- and cycle-dependent.
• Binding-authority and referral practice — the standard structure in which an account exceeding a line underwriter's authority is referred, peer-reviewed, and signed off, with an audit trail (§40.5 authority line; cross-ref Ch.38). Industry commonplace.
• Broker and risk-management guides to deductible and retention selection — practical treatments of how sophisticated insureds choose retentions and structure programs; illustrative numbers remain illustrative.
• Broker-survey commentary on underwriter responsiveness — the well-known pattern that slowness/silence, not strictness, is brokers' chief complaint about underwriters (§39.4); attributed as an industry commonplace, not to a single named study.
• Carrier and bureau business-income worksheets and time-element underwriting guides — the structured calculation from revenue/expenses to a defensible BI value and from the recovery timeline to a period of indemnity (§19.3, §19.4).
• Carrier driver-qualification and MVR-ordering standards — typical guidelines (pull at hire and annually; disqualifying-violation thresholds; major-violation handling) reflecting widespread industry practice (§23.3); presented as common practice rather than a single citable rule.
• Carrier loss-control / risk-engineering manuals — internal COPE worksheets, construction-class guides, occupancy-class hazard checklists, and inspection-survey templates; the day-to-day working version of this chapter. Proprietary and carrier-specific; consult your own organization's.
• Carrier underwriting guides and agent-education material on personal umbrella exposure underwriting — the standard exposure inventory (youthful drivers, pools, dogs, watercraft, rental units, domestic staff) and the practice of raising required underlying limits for elevated exposures (§16.4).
• Carrier underwriting manuals and letters of authority (internal, non-public) — authority grids, mandatory-referral triggers, and binding rules are universal in structure; specific thresholds are proprietary and illustrative only.
• Carrier underwriting-file, peer-review, and audit standards — the widely-taught practice that a complete file documents a rationale for every discretionary decision and that audits target the "missing rationale for a judgment call" defect (§40.1). Directional; specifics vary by carrier.
• Carrier underwriting-guideline and authority-letter practice — appetite tiers, the authority grid (line/limit/premium/hazard/pricing/commitment), referral ladders, and delegated-authority binders reflect standard practice, but exact thresholds, names, and formats vary by carrier and are illustrative here.
• Carrier/brokerage "submission requirements" and best-practice guidance — common industry practice defining a complete submission and linking submission quality to turnaround, hit ratio, and pricing accuracy (§39.3 checklist); specifics vary by carrier and line.
• Case law on rescission and post-claim underwriting — state-court decisions distinguishing a material, knowing misrepresentation (rescindable) from a pretextual, immaterial discrepancy seized on after a loss (not rescindable; often bad faith). Doctrines real and well-developed; consult the relevant jurisdiction and counsel rather than any single cited case (§33.4, CS2).
• Casualty Actuarial Society (CAS) ratemaking literature — the technical development of loss costs, relativities, credibility, and retrospective-rating formulas.
• Catastrophe accumulation-management practice — the established discipline of evaluating a coastal property's marginal contribution to a peril-zone aggregate before binding (§40.6; Case Study 1; cross-ref Ch.29, 30). Directional; thresholds are carrier/model specific.
• Catastrophe bonds and insurance-linked securities (ILS) as alternative catastrophe capital — the role of capital markets in absorbing catastrophe tail risk is well established; specific structures, spreads, and capacity change with the market (previewed; taken up in Ch. 26 and 34).
• Catastrophe-loss and insured-versus-economic-loss data (reinsurer and broker catastrophe reviews, industry catastrophe reporting) — the patterns are well attested (catastrophe-year volatility; insured loss a fraction of economic loss; demand-surge amplification) but specific annual/per-event figures vary by source and year and must be checked against current data.
• Catastrophe-modeling literature and major cat-model vendor documentation — the standard treatment of hazard, vulnerability, and financial modules and of estimating the maximum severity (PML); concepts are well established but specific outputs and methods vary by vendor/vintage (owned by Ch. 30).
• Classification and occupancy-drift as a small-commercial failure mode — the recurring, cross-carrier pattern in which a misclassified or drifted occupancy auto-binds through an eligibility filter built for a different risk (§20.2 trap; Case Study 2 composite).
• Commercial catastrophe-model vendor methodology documentation — the probabilistic basis on which catastrophe reinsurance is priced and cat programs are sized to a return period; the well-attested post-Andrew adoption of probabilistic cat models (developed in full in Ch. 30).
• Commercial-auto profitability commentary — industry-results commentary describing commercial auto as a persistently unprofitable line for the property-casualty industry over several recent years despite favorable frequency; stated qualitatively (§23.6).
• Construction additional-insured coverage litigation — a large, real body of case law over the scope of additional-insured endorsements (especially older broad editions) and the reach of "arising out of" language to the additional insured's own negligence; the basis for the labeled composite in Case Study 2. Jurisdiction-specific specifics must be checked against current coverage-law sources.
• Construction-accounting references on the percentage-of-completion method and the work-in-process schedule — the basis for reading a contractor's real job-by-job earnings and over/underbillings; the underwriting significance is standard, the detailed mechanics an accounting subject.
• Consulting and actuarial-body material on AI in underwriting — reports from major consulting firms and actuarial professional bodies on predictive modeling, machine learning, large language models, and governance in insurance; useful for the co-pilot/automation division of labor (§36.2). Attribute honestly; do not treat projections as facts.
• Consulting and rating-agency commentary on InsurTech and data-driven underwriting — pre-fill, real-time scoring, straight-through processing, and the economics of automation; treat specific percentages as illustrative unless independently sourced.
• Consumer-advocacy and civil-rights analyses of credit-based insurance scoring — the disparate-impact critique (Case Study 1); arguments well represented in the public record, but quantified claims should be checked against their underlying studies.
• Coverage-law treatises and casebooks on insurance contract interpretation — the doctrines of reading the grant broadly and exclusions narrowly, contra proferentem, and the precedence of endorsements and specific over general language; well-settled in principle but applied variably by jurisdiction (verify the state rule).
• Credit-based-insurance-score literature — credit-based insurance scores have repeatedly been shown to predict property loss frequency, while their fairness is contested on proxy-discrimination grounds, leading several states to restrict them for property lines. Pattern attested across multiple studies and regulatory reviews (cross-ref Ch. 8, Ch. 35); cite the pattern, not a single definitive figure.
• Cyber-market rate and loss-trend reporting (broker market reports, rating agencies, NAIC cyber data calls) — the soft-pre-2020 → sharp-hardening-2020/21 → moderation arc is well attested; specific rate changes, loss ratios, and capacity figures change continuously and must be pulled from current sources.
• Digital small-commercial managing general agents and InsurTech carriers (publicly identified examples include Next Insurance, Coalition, Pie Insurance, Thimble, Embroker, and the digital small-commercial efforts of Hiscox and The Hartford) — the public record of rebuilding small-commercial distribution and underwriting around pre-fill, class rating, and straight-through processing; scale and performance treated qualitatively (Case Study 1; MGA model owned by Ch. 3, revisited Ch. 34).
• Equipment breakdown (boiler & machinery) coverage references — the line's history in boiler inspection, the internal-failure perils it covers, and modern jurisdictional inspection requirements (§19.6).
• Federal and academic studies of credit-based insurance scoring and its relationship to race/ethnicity — the public debate over whether such scores function as a proxy for protected characteristics; the shape of the findings (predictive of risk, unevenly distributed across groups) is well attested, but specific percentages vary by study and must be verified against the originals before quotation.
• Fine-art, jewelry, and collectibles insurance and appraisal literature — on agreed value, periodic re-appraisal of appreciating property, and blanket-scheduled coverage for large collections (§16.6).
• Fleet telematics and usage-based commercial programs — vendor and broker case material documenting that actively run telematics-and-camera programs reduce collision frequency and improve claim defense (Case Study 2; §23.7); composite figures in the case are constructed and labeled.
• General and scholarly histories of insurance — the arc from bottomry and general average through the medieval Italian marine contract, the London fire offices, Lloyd's, and the actuarial revolution; broad narrative well attested, but specific dates, attributions, and figures vary by source and should be cross-checked.
• General data-governance and data-quality literature — the dimensions of data quality (accuracy, currency, completeness, consistency, provenance, relevance) and the "garbage in, garbage out" discipline.
• General histories of insurance (reputable trade and academic accounts) — the broad arc from bottomry and Lloyd's to the modern carrier; specific dates and attributions vary by source.
• General histories of marine insurance (reputable trade and academic accounts) — the descent of inland marine from ocean marine and the manuscript-form freedom that made it flexible; broad arc standard, specifics vary by source.
• General industry combined-ratio and loss-experience data (AM Best, S&P Global, NAIC) — the personal-lines loss-ratio pressures that hit the InsurTech carriers (catastrophe-driven property volatility, auto severity inflation) are well attested as patterns; specific annual figures change yearly.
• General insurance-law texts and practitioner guides on contract doctrines — representation vs. warranty, the modern statutory softening of the strict warranty rule, concealment standards, and bad-faith claims handling; doctrines are standard but precise treatment varies by jurisdiction.
• General observations on P&C insurer insolvencies — the recurring rate-inadequate/rapid-growth/under-reserved receivership pattern documented in state-regulator records and industry post-mortems (basis for the Case Study 2 composite); aggregate patterns real, specific companies' figures require verification.
• General property-casualty and commercial-lines reference works that cover surety — useful for placing surety alongside the insurance lines and for the taxonomy of commercial-surety bond types; treat specific figures with caution.
• George E. Rejda and Michael McNamara, Principles of Risk Management and Insurance (Pearson, multiple editions) — standard academic survey; historical and institutional background, the insurable-interest doctrine, and the regulatory framework.
• Gradient boosting and machine learning in insurance (selection, triage, feature discovery alongside GLMs; accuracy-vs-interpretability; interpretability methods such as SHAP and partial-dependence plots) — widely reported practice; confirm specifics.
• Histories of general average and modern marine practice (e.g., the York-Antwerp Rules tradition) — for the survival of the ancient principle as live commercial law in ocean marine (Ch.26).
• Histories of the tontine and the early-20th-century life-insurance investigations (e.g., the Armstrong investigation in New York) — the deferred-dividend abuses and the reforms that followed; treat quantified claims with caution.
• HPR-market underwriting and engineering literature — the construction, protection, water-supply, and management standards that define a highly protected risk and the specialized carriers/engineering-led loss control associated with the segment (§19.5).
• Image- and satellite-based property underwriting (ML assessment of roof condition, wildfire fuel, property characteristics) — established, growing practice; avoid quoting vendor-specific accuracy claims as fact.
• Industry and rating-agency reporting on personal-auto combined ratios — the well-attested fact that the line has run unprofitably on underwriting in several recent years; consult current trade press, rating-agency line reviews, and regulatory filings for year-specific figures (§14.7; Case Study 1). Treated qualitatively.
• Industry combined-ratio and loss-experience data (AM Best, S&P Global, NAIC) — general patterns (auto unprofitability, catastrophe-driven property volatility) are well attested; specific annual figures change yearly and must be checked against current sources.
• Industry commentary on "silent cyber" and the move to intentional cyber/pandemic drafting (clarifying exclusions; building dedicated products) — real and widely reported, but specific dates, form editions, and market figures should be confirmed against current sources.
• Industry compensation surveys and insurance-recruiter salary guides (published periodically by staffing firms and trade media) — reliable for the shape and relative slope of underwriting compensation (§37.5); specific dollar figures vary by line, region, company, and year and must be checked against a current source. The chapter deliberately uses no figures.
• Industry estimates of the magnitude of insurance fraud (Coalition Against Insurance Fraud, FBI, NICB) — commonly stated as tens of billions of dollars annually across lines; treat any specific figure as an estimate with stated assumptions, not a measured fact (the undetected portion is by definition unmeasured) (§33.1).
• Industry fire-protection and loss-control literature — the established direction of findings (working sprinklers dramatically reduce fire severity; hot-work permit programs reduce fire frequency; poor housekeeping predicts loss). The direction is well attested; specific statistics should be cited only from a verified primary source.
• Industry guidance on contractor financial analysis for bonding — working capital, net worth, backlog, and bank-line framework; quality-adjustments to working capital (related-party and aged receivables, job-specific inventory); rough working-capital multiples for program sizing. Standard and well attested; specific multiples and thresholds vary by surety and cycle and must be checked against current practice.
• Industry guidance on cyber security controls for insurability (MFA, EDR, tested offline/immutable backups, ransomware supplemental applications) — the §24.5 controls checklist reflects a real, widely-adopted underwriting consensus; the exact list and thresholds differ by carrier and evolve with the threat.
• Industry guidance on loss-run analysis and commercial submissions (reputable trade and carrier sources) — the practice of ordering five years of currently-valued runs across all lines and reading cause/trajectory is standard; exact valuation-date conventions vary by carrier and market.
• Industry guidance on waivers of subrogation, additional insureds, protective-safeguards endorsements, and the make-whole rule — mechanics are standard; specific form language and the make-whole rule's application differ by carrier and state.
• Industry literature on RAROC and return-on-capital pricing in insurance — actuarial/finance papers and practitioner guides on allocating capital to lines and pricing to a risk-adjusted return (basis for §28.6); attribute method honestly, confirm specific figures.
• Industry loss-ratio, severity-trend, and loss-development data (AM Best, S&P Global, NAIC, actuarial committee reports) — general patterns (long-tail upward development; "social inflation" running ahead of CPI in some liability lines) are well attested; specific annual figures change and must be checked.
• Industry treatments of large-deductible and loss-sensitive workers'-compensation programs (AM Best, rating-agency and trade commentary) — the rise and recurring failure mode are well attested; specific program sizes, deductible levels, and loss figures vary and must be checked against current sources.
• Industry underwriting-cycle and combined-ratio commentary (AM Best, S&P Global, NAIC, reputable trade press) — the recurring soft/hard-market pattern and the late timing of adverse development on long-tail lines are well attested; specific annual figures change yearly and must be checked against current sources.
• Industry WC combined-ratio and reserve-development experience (AM Best, NAIC, reinsurance-broker market reports) — WC profitability swings and the long medical-tail development are real and reported, but specific annual figures should be sourced currently.
• Industry/trade-press commentary on soft-market schedule-credit drift and "cash-flow underwriting" (attributed pattern, no specific figure).
• Insurance Information Institute (Triple-I) and similar industry resources on perils, hazards, and the cost of catastrophes — useful current context and general-audience definitions; verify any specific statistic against the original source.
• Insurance trade press and property-intelligence vendor materials on aerial/satellite-imagery underwriting — document the past-decade adoption of imagery-derived roof and property data (Case Study 1 pattern); confirm any specific adoption figure before quoting.
• Insurance trade-press coverage of E&S-market and wholesale-channel growth and consolidation — established directional trend driven by catastrophe property, hard-market overflow, cyber, and distressed risk (Case Study 1); specific magnitudes to be confirmed against current sources, not quoted from memory.
• Insurance trade-press coverage of underwriting talent and the analytics shift (industry publications) — well-attested patterns: the growing premium on hybrid underwriting-plus-analytics profiles, the automation of routine personal-lines underwriting, and the talent-pipeline challenge as experienced underwriters retire; broad trends reliable, specific claims to be attributed to and verified against the original reporting.
• Insurance-linked securities (ILS) / catastrophe-bond market literature — references on how capital-market investors assume catastrophe risk (cat bonds, collateralized reinsurance, sidecars) for a largely uncorrelated return; the "alternative capital" reshaping property-cat reinsurance (§27.6).
• Insurance-to-value / demand-surge practice — the long-recognized industry problem that a large share of homes are under-insured relative to rebuild cost, worsened by post-catastrophe demand surge; addressed by replacement-cost-estimator vendors and carrier ITV programs. Magnitude attributed, not quoted.
• InsurTech and embedded-insurance industry analysis — reporting and research on digital MGAs, embedded distribution, and on-demand products (Ch.34, §36.5), including the public stumbles that counsel humility about forecasts.
• InsurTech sector analyses from major reinsurance brokers and consultancies, and venture-funding trackers — reliable on the shape of the wave (funding boom and pullback, relative durability of MGAs and enablers, full-stack carriers' loss-ratio struggles); specific funding totals and rankings change continually and must be checked against the current edition.
• International genetics moratoria and codes — several countries operate voluntary or statutory limits on life insurers' use of predictive genetic test results below specified coverage thresholds (Case Study 1). The existence of such frameworks is real and instructive; confirm current specifics by jurisdiction before relying on them.
• Leading-indicator portfolio management — using rate change, hit ratio, new-business loss ratio, retention, and mix drift to manage the underwriting result forward of the lagging combined ratio. Standard practice; the dashboard composition here is illustrative.
• Life impairment manuals and reinsurer underwriting guides — large life reinsurers publish underwriting reference material, and carriers maintain proprietary impairment manuals, that translate conditions into debits, credits, table ratings, and flat extras. The structure in §17.3–§17.4 (graded tables ≈ +25%/table, time-graded ratings for treated conditions, flat extras for temporary hazards) is standard practice; the specific point values are confidential and vary by insurer. Treated qualitatively.
• Major building-cost / replacement-cost valuation estimating systems used across the industry to set and test building values and SOV figures; reference for the well-attested industry problem of systematic under-valuation during periods of rising construction cost (§19.2, §19.7).
• Major reinsurance brokers' periodic renewal market reports — the standard public window onto the reinsurance underwriting cycle (hardening after major losses, softening when capital is plentiful), referenced qualitatively in §27.6.
• Management-liability practice literature on the D&O three-part structure, Side-A excess, and IPO D&O — standard in the practitioner/brokerage literature; structural concepts are stable, particular market terms are not.
• Model-governance and override-logging practice — the increasingly standard expectation that a documented model override records the score, what the model could not see, the mitigating terms, and a cross-check, logged so it can be backtested (§40.7; cross-ref Ch.32). Attributed as emerging practice, not to a single named study.
• Modern portfolio theory (the finance idea of diversification reducing volatility without lowering expected return) — the conceptual ancestor of §29.2's insurance diversification, attributed as the general finance principle it is.
• Mortality-table practice (industry tables by age, sex, and smoking status) — the use of large insured-lives experience tables as the pricing baseline (§17.1). Referenced as standard practice; no specific table values quoted.
• Non-partisan health-policy research organizations' explainers on the ACA markets, risk adjustment, and the medical-loss ratio — broad mechanics are well attested; specific transfer amounts, rebate totals, enrollment figures, and premium trends change yearly and must be checked against current sources (never quote a figure from memory).
• Nuclear-verdict / social-inflation commentary (rating agencies, brokers, trade press) — documents rising liability-claim severity in recent years, felt most sharply in excess and umbrella layers (§21.6). Referenced qualitatively; no precise figure attached.
• Parametric and catastrophe-bond / ILS market commentary — industry and insurance-linked-securities reporting on parametric structures and cat bonds for catastrophe and climate risk (Case Study 2); good for the shape and growth of the product, specifics market-dependent.
• Parametric-market practitioner literature (specialist insurers, brokers, catastrophe-modeling firms) — trigger design, basis-risk management, and expansion into corporate and personal products are well documented; quantified take-up/payout-speed claims should be attributed to current sources.
• Portfolio-management and exposure-rating practice notes (actuarial and underwriting-management) — practice material on segmentation, mix management, retention analytics, aggregate exposure caps, and plan-versus-actual variance management; the analytic detail behind §29.4–§29.5, cited as practice rather than as an unverified number.
• Post-2011 industry retrospectives on supply-chain accumulation and the tightening / sub-limiting of contingent business interruption coverage (Case Study 1).
• Post-crisis solvency-reform commentary — analyses of systemically important insurers, group supervision, and capital-framework convergence after 2008; verify exact claims and dates against primary sources.
• Producer-management and broker-relationship practice — the widely-taught reality that a minority of brokers produce most of a commercial book, and that broker-level hit-ratio and loss-ratio analysis is standard portfolio practice (§39.4, §39.7); presented directionally.
• Professional-development literature on deliberate practice, expertise, and feedback loops — supports the §37.1 decision-journal mechanism (confronting past reasoning with realized outcomes accelerates judgment); the principle is established, the underwriting application is the chapter's own.
• Progressive "Snapshot" and the broader usage-based-insurance (UBI)/telematics literature — public history of telematics adoption in personal auto (Case Study 2); program and movement are real and documented, but specific discounts, participation rates, and mechanics change over time/by state and must be verified before citing.
• Property-catastrophe reinsurance market commentary (industry and rating-agency sources) — the cost of catastrophe reinsurance has repriced sharply in recent hard-market years and is a primary driver of coastal and wildfire homeowners economics; direction well attested, precise rate-change figures vary year to year and are kept qualitative (Case Study 1, Case Study 2; cross-ref Ch. 27).
• Property-underwriting and valuation literature on coinsurance and insurance-to-value — the coinsurance mechanism and agreed-value alternative are standard; the construction-inflation "valuation gap" is real but moves with cost indices, so quantify only against current data.
• Public materials of the high-net-worth carriers — Chubb (Masterpiece), PURE (Privilege Underwriters Reciprocal Exchange), AIG Private Client and peers — for the HNW model: appraisal-based valuation, guaranteed/extended replacement cost, scheduled-collection and agreed-value coverage, integrated-account underwriting, and risk-management/claims service as the basis of competition (Case Study 2; §16.5–§16.7). Model treated as illustrative; no financial figures asserted.
• Public telematics / usage-based-insurance program disclosures — what telematics data is collected and how it is used (§31.2); confirm against current program disclosures.
• Public usage-based-insurance (UBI) programs — e.g., Progressive's Snapshot and comparable telematics offerings — as illustrations of the monitored-period and continuous models (§14.4). Mechanics illustrative of the category.
• Rating-agency and industry-research market reviews and trade-press commentary on the property-casualty combined ratio and the underwriting cycle by line — the live, current version of the soft/hard-market pattern (treat any specific historical combined-ratio figure as something to verify rather than quote from memory).
• Rating-agency and reinsurance-broker catastrophe research — the major reinsurers and reinsurance brokers publish recurring analyses of catastrophe loss trends, peril-zone accumulation, and the survival advantage of diversified, well-capitalized carriers in catastrophe years; the empirical backbone of Case Study 2's pattern, cited as an industry observation rather than to a single pinned figure.
• Rating-agency and state-insurance-department post-mortems on P&C insurer insolvencies identifying rapid growth + inadequate pricing + adverse reserve development as the failure pattern (attributed general pattern).
• Rating-agency and trade reporting on "nuclear verdicts" and social inflation — the well-attested public trend of rising large-verdict size and frequency in personal-injury litigation and its named drivers (litigation funding, plaintiff-bar tactics, jury sentiment) (Case Study 1; §16.4). Treated qualitatively; no effect sizes asserted.
• Reinsurance and capital-markets commentary on parametric insurance — parametric structures are long-established and well documented in the catastrophe/reinsurance markets; consumer-scale parametric products are newer with a short public loss record, so quantified retail-parametric claims should be treated as preliminary.
• Reinsurance Association of America (RAA) — industry references on the structure and function of the U.S. reinsurance market, contract wordings, and the credit-for-reinsurance framework in practice.
• Reinsurer and reinsurance-broker catastrophe and climate reporting — annual catastrophe reviews, climate-risk papers, and renewal commentaries from major reinsurers and reinsurance intermediaries; good for the direction of catastrophe trends and reinsurance pricing. Treat any single figure as point-in-time, not canonical.
• Reported decisions on "physical loss," "sudden and accidental," and the definition of "pollutant" — the qualitative patterns (courts splitting; ambiguity construed against the drafter) are accurate, but specific holdings, outcomes, and figures must be checked against the actual opinions rather than asserted; this chapter states them qualitatively.
• Risk-management literature on moral/morale hazard and on risk classification — the distinctions are standard; empirical magnitudes (behavioral response, predictive power of classification variables) are active research areas and should be treated with caution.
• Securities class-action filing-trend studies (academic and litigation-monitor sources) — the recurring "hot IPO → stock drop → securities suit" pattern is robust; annual filing counts and settlement amounts vary by year and source.
• SIU practice and red-flag taxonomies — The Institutes, the International Association of Special Investigation Units (IASIU), and insurer SIU manuals; the red-flag families in §33.5 reflect this body of practice; confirm a given jurisdiction's/carrier's list before relying on it (§33.5, §33.6).
• Small-commercial economics and the expense-ratio problem — industry analysis of why low premium per policy makes the expense ratio the determinant of the combined ratio and why automation is the required expense discipline; the well-attested pattern that fast growth is easier than profitable growth in automated small commercial (§20.7; Case Study 1).
• Small-commercial straight-through-processing and underwriting-automation practice literature — carrier and industry treatments of eligibility-rule design, knockout rules, auto-bind tolerances, referral logic, and the governance of automated underwriting (§20.4, §20.5).
• Standard actuarial texts and CAS monographs on GLMs for ratemaking and predictive modeling in actuarial science — for Poisson/gamma construction, validation, and lift/Gini methodology; consult current editions.
• Standard commercial-lines and casualty coverage references (the kind issued by The Institutes and IRMI-style coverage guides, and carrier underwriting manuals) — treatments of products-completed operations, the long-tail/incurred-but-not-reported problem, and loss-development thinking applied to liability reserving. Attributed to general industry practice without a single pinned citation.
• Standard university-level property-casualty insurance and risk-management textbooks — foundational coverage of carrier types, distribution channels, the premium dollar, the combined ratio, and the underwriting cycle.
• State Department of Insurance bulletins prohibiting or restricting price optimization (mid-2010s onward) — a broad multistate regulatory pattern; the qualitative outcome is well attested but the exact list of states and terms must be read from current sources (Case Study 2).
• State insurance department bulletins on permitted and prohibited rating factors — authoritative per state and subject to change; "know your state" requires checking the current bulletin for each jurisdiction and line.
• State-by-state surveys of restricted auto rating factors (credit, gender, occupation, education, territory) — the live and changing rules; consult a current NAIC or reputable industry compendium for a given state (§14.5).
• State-by-state surveys of the permissibility and restriction of credit in personal-lines rating (trade and consumer-organization trackers) — the patchwork is real and changing; current status must be confirmed state by state rather than from a snapshot.
• Studies and investigative reporting on insurance pricing disparities by neighborhood and race (academic, regulatory, journalistic) — the qualitative finding that, controlling for risk, coverage in predominantly minority areas can be costlier or harder to obtain is repeatedly documented; precise magnitudes vary by study, place, and line.
• Surety-market commentary on the cyclicality and correlation of surety losses (lumpy, construction-economy-linked, concentrated rather than steady) and on periodic hardening of the surety market after waves of contractor defaults — the pattern is widely understood; specific historical loss magnitudes change by source and should be verified.
• The "failure to procure" line of U.S. state-court insurance litigation — a large, real body of case law on producer/carrier liability for coverage that should have been bound; doctrine well established, but confirm any single citation in a current legal source.
• The "new-business penalty" — the well-known practitioner/actuarial observation that newly written business runs a meaningfully worse loss ratio than seasoned renewal business in its first year or two (§29.4); stated qualitatively.
• The "nuclear verdict" and social-inflation literature — a large body of trade-press reporting, brokerage and reinsurance research, and industry-association commentary documenting the rise of very large commercial-auto/trucking verdicts and the broader severity trend; cited for direction and mechanism only, with no fabricated verdict figure or combined-ratio number (Case Study 1; §23.6).
• The "three lines of defense" governance model — a widely adopted framework in insurance and financial services separating risk ownership (first line), independent risk/compliance (second line), and internal audit (third line). Standard practice; originating publication not cited here.
• The actuarial and consumer-advocacy literature on credit-based insurance scoring — the predictive relationship is broadly accepted in the industry; the disparate-impact and causation debates remain live and value-laden (§35.3).
• The build-and-blood-pressure mortality tradition — the modern build chart descends from large historical studies relating height, weight, and blood pressure to mortality; the lineage and use are real. No specific study figures cited; verify before quoting any.
• The California wildfire / FAIR Plan crisis — major insurers restricting or pausing new homeowners writing, substantial growth in the California FAIR Plan's exposure, and the regulatory reform allowing catastrophe-model use and reinsurance-cost recognition in rate-making in exchange for coverage commitments. Widely reported; specifics qualitative.
• The climate-attribution and non-stationarity literature for weather perils — the direction of the effect on intensifying perils (a backward-looking model tends to understate current risk) is broadly supported; precise magnitudes carry genuine scientific uncertainty and are an active research area.
• The early-2020s personal-auto profitability cycle — the documented pandemic-era frequency drop and premium givebacks, the 2021–2022 frequency-and-severity rebound, the 2022–2023 underwriting losses, and the rate-driven correction (Case Study 1). Sequence public; magnitudes kept qualitative.
• The fairness-in-machine-learning literature on the incompatibility of demographic parity, equalized odds, and calibration when base rates differ — the mathematical result is settled; the policy implications for insurance are an active, contested area.
• The Florida property-market crisis — Florida-focused homeowners carrier insolvencies and withdrawals, the rapid growth of Citizens as a residual market, litigation/claims-cost pressure as a recognized expense driver, and the legislative reform response. Documented in the public record and regulatory/industry reporting; specific figures qualitative.
• The GLM as the dominant personal-lines ratemaking method (spread from the U.K. motor market, 1990s–2000s, outward) — attribute the pattern; confirm any specific carrier/date/figure.
• The Institutes (AINS/CPCU) personal-lines course materials — structured treatment of PAP coverage parts, classification, territory, and auto rating at certification depth (§14.1, §14.2).
• The Institutes (American Institute for CPCU / AICPCU) — AINS, AU, and CPCU curricula covering carrier structures, distribution systems, the combined ratio, and the admitted/surplus-lines markets (the standard professional treatment; a fee and a certificate).
• The Institutes (American Institute for CPCU), AINS and CPCU curricula — the professional body's treatment of insurance history, Lloyd's, the rating bureaus, and U.S. market structure.
• The Institutes (CPCU / AINS / AU curriculum) ratemaking and rating materials — pure premium, loss-ratio method, expense loading, permissible loss ratio, experience and retrospective rating.
• The Institutes / CPCU and AU curricula on insurer finance, capital, and solvency — structured treatments of surplus, leverage ratios, RBC, ERM, and the ORSA aligned to the certification track; confirm any specific figure against the current edition.
• The Institutes — CPCU and ARe (Associate in Reinsurance) reinsurance curriculum — the standard certification-depth treatment of treaty vs. facultative, proportional vs. non-proportional, the reinsurance contract, reinsurance accounting (ceding commission, reinstatement premiums), and program design.
• The list of monopolistic vs. competitive state funds and exactly what each covers (e.g., whether employers' liability is included) — has shifted over time and varies by source; verify the current map before relying on it for a live multi-state account.
• The risk-management literature on moral and morale hazard — the distinction is standard; empirical magnitudes are an active research area, so quantified behavioral claims should be treated with caution.
• The soft-market lag — the well-established pattern that rate erosion precedes loss-ratio deterioration by a multi-year lag (the underwriting cycle, Ch.3). Stated qualitatively, no invented statistic.
• The underwriting-cycle literature — the well-established, widely-written observation (industry economists, trade analysts) that the property-casualty market oscillates between soft and hard phases and that carriers which grow fastest in the soft market tend to suffer most in the correction (§29.6); attributed as a pattern, no precise cycle statistic invented.
• The underwriting-management literature on profit-vs-growth tension, rate adequacy, and commission-on-premium incentive design — standard concerns; quantified magnitudes are carrier- and period-specific.
• The widely cited "≈1,082 claims" full-credibility benchmark for pure premium — a standard textbook figure for one particular confidence/tolerance choice, NOT a universal constant; cited as attributed with assumptions noted.
• The wildfire-as-primary-peril shift and the maturing of wildfire catastrophe models — the qualitative arc is well documented in trade and reinsurance literature; precise magnitudes and dates vary by account.
• Third-party commercial-property inspection and valuation providers — the firms that produce the loss-control reports underwriters read; their report structures model what a thorough inspection covers. Specifics vary by vendor.
• Third-party litigation funding — reporting and policy debate on outside capital financing lawsuits and its role in the economics of large awards (§23.6); cited as a mechanism, not a statistic.
• Trade reporting on the post-ACA growth of self-funding among mid-size employers — the directional claim is widely reported; any precise share or growth rate must be verified against a current source.
• Trade-press and mainstream business reporting on the California and Florida homeowners markets — reputable insurance trade journals and business reporting documenting carrier withdrawals, non-renewals, residual-market growth, and regulatory reform. The qualitative narrative of Case Study 1 rests on this body of public reporting; no precise statistic asserted.
• Trade-press coverage of embedded insurance and API distribution (insurance/InsurTech trade publications) — useful for the range of real embedded programs (travel, device, freight, software-platform, mobility) and the API distribution stack; program-specific terms and results are mostly proprietary and should be treated cautiously.
• Underwriting-audit and peer-review practice guides (Institutes / industry) — the audit-judges-process-not-outcome principle is standard; specific methodologies differ by carrier (deepened in Ch.38).
• Underwriting-audit practice — random plus targeted file sampling; scoring across selection/pricing/terms/authority/documentation; rolling findings to error rates by underwriter and class. Common across carriers and described in professional/trade literature; specifics vary by company and are summarized from general practice.
• Vehicle-technology repair-cost literature — industry/repair-research material on how ADAS, sensors, and cameras raised collision repair severity even as some systems lowered frequency (§14.2, §14.7).
• Werner & Modlin, Basic Ratemaking (Casualty Actuarial Society) and standard pricing texts — full mechanics of trend selection, loss-development triangles, and the derivation of full-credibility standards; methods standard, worked figures vary by edition.
• Workers' compensation research bodies — e.g., the Workers Compensation Research Institute (WCRI) and NCCI research / "State of the Line" — document the shift to medical-cost dominance, the opioid cost pattern, and frequency/severity trends; patterns are well attested but specific figures vary by year/state/study and must be checked currently.

Tier 3 — Illustrative / constructed (the recurring Harbor Steel underwriting file and the book's other teaching submissions and round numbers, labeled where they appear)

• "Cardinal Mutual Casualty" (Case Study 2) — a clearly-labeled composite carrier built from the real rate-inadequacy-insolvency pattern; all particulars constructed.
• "Cascade Regional Distribution" (Case Study 2) — a clearly-labeled composite fleet-telematics turnaround; the company and every number in it are constructed.
• "Dana," the day-in-a-career composite (Case Study 2) — a clearly labeled composite of common career patterns; not any real individual; any dollar figures illustrative.
• "Gulfline Mutual" insolvency composite (Case Study 2) — a clearly-labeled composite of the documented insolvency pattern, with no real or invented financials.
• "Marcus Bell" — the impaired-life table-rating composite of Case Study 2 (controlled type 2 diabetes; stented MI four years out; ex-smoker >3 years; heavy build), assembled from standard practices and clearly labeled a composite.
• All dollar amounts, soft/hard placements, red-flag clusters, and "clarification vs. referral" dispositions in this chapter — constructed to teach the method, not drawn from any real account.
• All illustrative figures in the chapter — sample class loss costs and payrolls; the X-mod examples (0.80, 0.82, 0.85, 0.98, 1.10, 1.18, 1.20, 1.22, 1.25, 1.28, 1.30, 1.35, 1.40); manual-/modified-premium computations; illustrative Part Two limits and large-deductible amounts — round numbers chosen to make the mechanics legible, not data from any real insurer or bureau filing.
• All rates, loss costs, modifiers, and premium figures in the chapter, quiz, and exercises (e.g., the $3.00/$1,000 products loss cost and the 15% debit in Exercise 27) — illustrative teaching numbers, marked as constructed where they appear.
• All round numbers in the chapter and exercises (the $40K-vs-total-loss contrast, the dust-collector and diesel-tank exercises) — constructed for instruction; not real loss statistics.
• All worked figures in the chapter — the GLM relativities (1.85, 1.30, 1.20, 0.92), the lift-chart deciles (45%…190%), the Gini values, and every loss/combined-ratio number — constructed teaching examples.
• All worked numbers in the chapter — the four-coverage-part diagram, the ACV/replacement-cost roof settlement (\$30,000; \$28,000 in the exercises), the coinsurance penalties (\$500,000/80%/\$300,000; \$600,000/80%/\$420,000), the named-storm-deductible figures (5% of \$400,000 / \$450,000), and the catastrophe-peril table — illustrative constructions for teaching, not real policy or market data.
• All worked numbers in this chapter (the frequency/severity examples, the loss-ratio "four answers" table, the pure-premium build-ups, the trend/development restatement, the square-root-rule credibility table, and the credibility-weighting calculations) — constructed round numbers chosen for legibility; not from any real account or insurer.
• All worked numbers in this chapter — the balance-sheet table, premium-to-surplus and RBC examples, the covariance arithmetic, the two-account economic-profit comparison, and the capital "stack" — round, clearly-labeled teaching figures, not any real insurer's data.
• Appendix C, the Underwriting-File Workbook — the reader's worksheet set that holds the assembled file.
• Cardinal Steel Erectors (Case Study 2) — a clearly-labeled composite assembled from real construction additional-insured patterns; no real company, claim, or figure is depicted.
• Carrier A and Carrier B (Case Study 2) — an explicitly labeled composite built from real public industry patterns, with no invented financials, loss figures, or combined-ratio statistics; a teaching contrast, not a profile of any company.
• Case Study 1 (aerial/satellite imagery adoption) — real industry shift with an illustrative composite carrier; all figures illustrative.
• Case Study 1 (Florida coastal-property) and Case Study 2 (COVID-19 BI) framings — built on real public events but using only public, qualitative facts; any reconstruction labeled; no statistic, holding, or figure invented.
• Case Study 1 (staged-accident rings) — discusses the real, documented phenomenon and real law-enforcement response (NICB, prosecutions); the dramatized ring details are a labeled reconstruction with no fabricated statistics or named parties.
• Case Study 1 (the large-deductible WC composite: the industrial contractor, the stale letter of credit, the insolvency) — labeled composite from real industry patterns; all figures illustrative.
• Case Study 1 — "The household that bought 'enough'" — a clearly-labeled constructed illustration of an uncapped verdict exceeding a household's coverage; the nuclear-verdict/social-inflation trend it sits in is real (Tier 2) but all specific figures are kept qualitative.
• Case Study 1 — "The Personal-Auto Profitability Squeeze of the Early 2020s," built from public facts with all specific combined-ratio and dollar figures kept qualitative.
• Case Study 1, "The Decline That Was Never Communicated" (Riverside Plastics / Continental Regional) — clearly-labeled composite of the failure-to-procure / E&O pattern; doctrine real, names/dates/figures illustrative.
• Case Study 2 (pre-fill failure: wrong match, stale peril codes, silent default) — explicitly labeled teaching composite; all figures and entities illustrative.
• Case Study 2 (the coinsurance-penalty composite: the food-processing manufacturer, $10M true value vs. $6M declared, $2M partial loss, $500K penalty) — labeled composite; the coinsurance mechanism is real, the fact pattern and numbers constructed.
• Case Study 2 (the contested rescission) — a clearly-labeled composite of real rescission-dispute patterns; Scenarios A and B and all figures illustrative, while the doctrines (materiality, innocent misrepresentation, waiver, post-claim underwriting, bad faith) are real and state-governed.
• Case Study 2 — "The Eligibility Miss" (Cardinal Mutual; the drifted woodworking/finishing shop) — a clearly-labeled composite built from the real occupancy-drift pattern; every name and figure constructed.
• Case Study 2 — "The Stale Schedule of Values," a clearly-labeled composite of a recurring undervaluation/coinsurance pattern; all numbers constructed.
• Case Study 2 — the qualitative analysis of Proposition 103 and Michigan no-fault; the statutes are real (Tier 1), the framing is the chapter's and is deliberately non-numeric.
• Case Study 2 — the qualitative, structural analysis of the HNW carrier model; the carriers (Chubb, PURE, AIG Private Client) are real, but no financial figures, market shares, or loss statistics are asserted.
• Case Study 2's "small-sample book that blew up" — a clearly-labeled composite built from the documented soft-market reserve-deficiency pattern; specific account, figures, and combined ratios are constructed.
• Case Study 2's carrier and scenario — a clearly-labeled composite of a real, documented proxy-discrimination concern; no real carrier and no fabricated statistic.
• Case Study 2, "Binding Beyond Authority" (Apex Specialty / Keystone Underwriting Managers) — clearly-labeled composite of the binding-authority / over-limit pattern; agency-law doctrine and coverholder-audit control real, names/dates/figures illustrative.
• Case Study 2, "The Self-Funded Employer and the Stop-Loss Surprise" — a clearly labeled composite built from recurring, well-documented stop-loss patterns (the laser dispute, the contract-basis gap, the renewal shock); no real employer, carrier, or claimant; every dollar figure illustrative.
• Case Study 2, "The thin submission that bound" — labeled composite of recurring industry patterns (soft-market production push, omitted hazard, the loss arriving on schedule); all names and figures constructed.
• David Okafor — the borderline life applicant (45; \$1M 20-year term; mildly elevated cholesterol; BMI 28; father's MI at 58; excellent BP; confirmed nonsmoker; active recreational cyclist), introduced in Ch.6 and worked in full here; placed at preferred-or-near (no single hard table set, per the anchor schedule; returns Ch.35). Constructed teaching example.
• David Okafor, the borderline life applicant (45, \$1M term life; cholesterol/BMI vs. excellent cardiovascular profile) — constructed teaching example introduced here, worked in full in Ch. 17.
• Epigraph — a constructed teaching line (CFO-to-underwriter), no false attribution.
• Figure 14.1 — "The clean record that isn't the cheap risk" — a constructed Read-the-Submission block contrasting two clean-record applicants.
• Figure 16.1 — "The umbrella that has to drop down" — a constructed Read-the-Submission block on a defamation claim the umbrella drops down to cover (§16.3).
• Figure 19.1 — "The two-million-dollar number nobody calculated," a constructed Read-the-Submission teaching block.
• Figure 20.x — "The small shop that binds itself," the constructed Read-the-Submission block in the answers fragment (Exercise 31).
• Figure 21.1 "The bracket that hasn't failed yet" (Read the Submission) and the liability-tower diagram — constructed to illustrate the products tail and the umbrella's place over the CGL.
• Figure 26.1 ("The program that grew too fast") and Figure 26.2 ("The storm that just missed the trigger") — constructed submissions illustrating the program-business moral hazard and the parametric basis-risk problem; built from real industry patterns but fictional in specifics.
• Figure 33.1 ("Three omissions, three different problems"), the fraud spectrum, the red-flag-families table, the fraud-response chain, and the three-ways-a-policy-ends table — constructed teaching devices.
• Figure 35.1, "The factor that knows too much" — constructed length-of-tenure proxy example.
• Figure 36.1 ("The risk that is modeled but not writable") and Figure 36.2 ("When the trigger and the loss disagree") — constructed teaching submissions; all numbers (the doubled named-storm AAL, the \$500,000 parametric trigger, the 25-mile threshold, the scenario losses of \$900K/\$50K) are illustrative.
• Figure 39.1, "The same account, two submissions" — constructed plastics-manufacturer example contrasting a complete vs. a thin submission.
• Figure 40.1, "The risk-assessment summary, one page" — constructed Read-the-Submission block.
• Figure 9.1 ("COPE on Harbor Steel") and the frequency × severity read table — constructed teaching renderings of the assessment.
• Figures 5.1 and 5.2 ("Read the Submission" blocks) — the dec-page summary and the three-endorsement CGL; constructed to make the reading skills legible, with illustrative round numbers, not real policy data.
• Figures and worked numbers — the table-rating arithmetic (~+25%/table; Table 4 ≈ 200% mortality ≈ ~2× premium), the mortality-ratio percentages, the evidence-reconciliation block (Figure 17.1), the build-chart contrast (Figure 17.2), the underwriting-depth spectrum diagram, and every premium multiple and dollar amount. All illustrative.
• Harbor Steel & Fabrication Underwriting File — constructed progressive-project account; the Meridian Risk Partners negotiation, roof-contract and hot-work-program delivery, and renewal-strategy beat (Figure 39.2; The Underwriting File). All figures illustrative.
• Harbor Steel & Fabrication — constructed progressive-project account; the model's 7/10 score and the documented override to 6 are illustrative (frozen in _continuity.md §5).
• Harbor Steel & Fabrication — its routing through the referral grid, peer review, and CUO appetite call (the §38 Underwriting File). Constructed; all figures illustrative.
• Harbor Steel & Fabrication, Inc. (Port Hadley; the \$20M building; the loss history; broker Meridian Risk Partners) — the book's constructed progressive-project account; fictional teaching material.
• Harbor Steel & Fabrication, Inc. — the running constructed Underwriting-File project; the owner's personal auto/umbrella appears here only as a teaching aside on account rounding. All facts illustrative.
• Submission-quality checklist, three-axes-of-competition table, distribution-chain diagram, and virtuous-loop diagram — constructed teaching devices.
• The "book that looks wonderful" figure (§38.5) — constructed illustration of growth plus a flattering lagging combined ratio masking softening leading indicators.
• The "Northbeam Health" IPO D&O composite (Case Study 2) — a labeled composite built from the real, recurring post-IPO securities-suit pattern; the company, names, and all figures are constructed.
• The "optional protection plan that selected against itself" composite (Case Study 2) — a clearly-labeled composite built from real industry patterns (program business, class underwriting, adverse selection), not any one named program.
• The actuarial-vs-social-fairness spectrum diagram — schematic device for §35.7.
• The appetite statement, referral grid, audit scorecard, and leading-indicator dashboard figures (§38.2–§38.5) — constructed schematics; numbers are teaching values, not real carrier data.
• The assembled-file skeleton, the property premium build-up waterfall (\$4.50 / \$0.45 / \$0.80 → \$5.75 per \$1,000, illustrative), the terms-at-a-glance table, the portfolio-and-reinsurance sign-off diagram, the binding sequence, and the nine-part recommendation-memo skeleton — constructed teaching devices.
• The authority ladder and appetite-tier table (§7.3, §7.4) — illustrative limits and tier names chosen for legibility.
• The authority-math and growth-vs-discipline worked examples (Exercises 25, 26) — illustrative round numbers.
• The book-analysis Python snippet and its loss-ratio figures (§37.3) and Exercise 18 — illustrative teaching numbers, not real book data.
• The career grid, the analytic-path diagram, and the compensation arc (Figures in §37.2, §37.3, §37.5) — constructed schematics, chosen to make the structure and slope of a career legible; not from any dataset.
• The carrier-structure and distribution-channel ASCII diagrams (§3.1, §3.2) and the admitted-vs-surplus-lines comparison block (§3.7) — schematic teaching aids, not to scale, depicting no real company.
• The cat-load pricing build-up in Exercise 21 (AAL grossed up by an illustrative 35% load) — constructed teaching calculation.
• The chapter epigraph ("You can write the average year of a coastal book at a profit for nine years running…") — a constructed teaching maxim, labeled as such.
• The chapter's premium build-up, loss-cost-to-rate, rating-factor, experience-rating, schedule-rating, and retrospective-rating diagrams — all constructed teaching figures.
• The chapter's worked devices — the "four axes of diversification" table (§29.2), the "forty sound accounts / one event" concentration diagram (§29.3), the "loss ratio by segment" table (§29.4), and the "portfolio referral triggers" table (§29.7) — all constructed teaching examples; the numbers are illustrative and labeled as such.
• The chapter's worked diagrams and dollar amounts — the liability stack ($500K/$2M/$3M), the gap problem ($250K), and the blanket-vs-scheduled comparison ($15,000 ring) — all constructed teaching figures, not any real policy or claim (§16.1, §16.2, §16.6).
• The chapter's worked examples and figures — the commercial-market pyramid (§20.1), the class-rating build (§20.3), the STP bind-without-a-human pipeline (§20.4), the referral/knockout signal map (§20.5), and the expense-ratio comparison (§20.7); all constructed, all dollar figures illustrative.
• The chapter's worked examples — four-way valuation comparison (§19.2), coinsurance penalty calculations (§19.4), period-of-indemnity critical path (§19.4), and the \$50M layered-program tower (§19.7) — all constructed.
• The chapter's worked examples — the coverage-symbol table (§23.1), the "same twelve units, three risks" fleet read (§23.2), the MVR-weighting table (§23.3), the radius-class table (§23.4), and the schedule-credit/debit pricing exercises (Exercises H) — all constructed teaching numbers.
• The chapter's worked rate examples — the multiplicative-relativity premium build (§14.2, Exercises 14.18–14.19) and the combined-ratio Python snippet and loss-cost diagram (§14.7) — all constructed teaching figures, not any real carrier's numbers.
• The chapter's worked structures — the quota-share and surplus-share tables (§27.3), the three-layer per-risk reinsurance tower (§27.4), the gross-vs-net split table (§27.5), and the toy retrocession "ring" amplification (Case Study 2) — all constructed teaching examples; none represents a real program or real figures.
• The chapter's worked teaching examples — Figure 25.1 ("Two contractors, one bond request"); the insurance-vs-surety side-by-side diagram; the contract-surety sequence diagram; the three-C's table; the commercial-surety map; and the "anatomy of a performance-bond loss" diagram. All programs, ratios, and dollar figures are illustrative round numbers chosen to make the credit logic legible.
• The coffeehouse "slip" Read-the-Submission figure (the ship Prosperous; the £6,000 wartime West Indies voyage) — a labeled reconstruction "after" the early Lloyd's market, not a record of any real transaction.
• The constructed distributor and plastics-manufacturer submissions (in the exercises) — teaching scenarios built from realistic patterns, with all numbers constructed.
• The constructed epigraph ("There is no such thing as a risk that is too large to write — only a risk that is too large to keep") — a teaching line in the spirit of the trade, labeled as constructed.
• The constructed scenarios across §36.1–§36.5 (the sensored plant, the on-demand drone, the embedded shipping product, the coastal renewal) — illustrative, built from real industry patterns, drawn from no real account.
• The construction-class ladder, four-band grade scale, and frequency-vs-severity control tables — illustrative simplifications of standard concepts for teaching; authoritative definitions live in the Tier 1 ISO / Institutes / NFPA sources.
• The controls checklist, the claims-made timeline diagram, and the D&O three-sides diagram — illustrative renderings chosen to make the mechanics legible, not drawn from any single carrier's form.
• The David Okafor genetic-test thread — constructed life-underwriting contrast illustrating the GINA gap (applicant fictional; statute and gap real).
• The decision-tree, subjectivity-tracker, decision-file, and three-ways-to-get-more-eyes diagrams — schematic teaching figures with illustrative content.
• The epigraph — a labeled constructed CUO teaching line, not a real attributed quotation.
• The food-truck, last-mile-delivery, and marine-cargo program exercises, and the parametric earthquake pricing example — constructed practice scenarios; all loss ratios, premiums, probabilities, and limits are illustrative.
• The frequency-vs-severity worked examples (the two \$75,000-expected-loss fleets; the collision-loss arithmetic) and the exposure-base table — illustrative round numbers and correspondences chosen to make the concepts legible; not any insurer's actual rates.
• The general-average worked example (the three-merchant voyage; the proportional apportionment of a jettison loss) — illustrative round numbers chosen to make the mechanism legible.
• The Harbor Steel & Fabrication career aside (The Underwriting File) — the constructed teaching account running through the book; the §37 beat identifies the kind of underwriter who writes it without adding new analytical facts.
• The Harbor Steel & Fabrication catastrophe screen (the AAL contribution, the marginal PML contribution, the Port Hadley zone fit) — constructed teaching example consistent with the frozen Underwriting-File facts; not from any real account.
• The Harbor Steel & Fabrication coverage architecture — the DICE table for the package, the illustrative ISO/NCCI form numbers attached to each line, and the specific limits, deductibles, and endorsements; constructed teaching examples, not drawn from any real account or filed policy. Form-number usage is illustrative of standard practice, not a citation to a specific edition.
• The Harbor Steel & Fabrication fairness analysis — constructed Underwriting-File beat applying the four §35.2 tests to a commercial property price, plus the coastal protection-gap note; realistic but not drawn from any real account.
• The Harbor Steel & Fabrication file — constructed metal-fabrication account; the built and modified property rate, relativities, schedule worksheet, and indicated debit-rated premium (all illustrative).
• The Harbor Steel & Fabrication group-health adjacency (the §18 Underwriting File aside) — constructed teaching example; the ~180-employee size, the self-funding-with-stop-loss option, and the illustrative attachment ranges are chosen to locate health underwriting in a concrete employer, not drawn from any real account.
• The Harbor Steel & Fabrication legal frame (Figures 4.1 and 4.2; the insurable-interest map of owner/mortgagee/key-person; the disclosure-and-loss-cause discussion; the admitted-vs-surplus-lines placement question) — constructed teaching content built on the frozen Underwriting-File facts, not drawn from any real account.
• The Harbor Steel & Fabrication risk inventory (the full exposure → hazard → controls inventory across property, GL, workers' comp, auto, and catastrophe; Figure 6.1 and The Underwriting File) — constructed teaching example, realistic but not drawn from any real account.
• The Harbor Steel & Fabrication underwriting file (Harbor Steel, Port Hadley, Meridian Risk Partners, and all attached figures) — constructed teaching example, realistic but not drawn from any real account.
• The Harbor Steel & Fabrication workers'-compensation file (≈\$11M payroll, welding/fabrication governing class, several WC claims, debit X-mod, return-to-work credit) — constructed teaching example, realistic but not drawn from any real account.
• The Harbor Steel inland-marine layer (steel in transit, contractors'-equipment floater, per-conveyance and equipment-schedule figures) — constructed teaching example consistent with the frozen Harbor Steel file.
• The illustrative EP curve, the AAL/PML comparison, the accumulation-by-zone table, and the moving-baseline diagram (§30.3–§30.6) — round numbers chosen to make the catastrophe mathematics legible; not real losses.
• The illustrative landscape taxonomy and the quote-in-seconds flow diagram (§34.1, §34.4) — schematic, not-to-scale teaching devices.
• The large-risk tower ($2B refinery TIV), the aviation-segment table, and the indemnity-versus-parametric diagrams — illustrative figures and structures chosen to make the mechanics legible; not real rates.
• The model-override case — constructed anchor; model scores Harbor Steel 7, underwriter writes 6 (logged here, resolved Ch.32).
• The premium-dollar waterfall, the combined-ratio worked examples (95% and 105% books), and all round numbers, rates, and ratios in §3.4–§3.5 — constructed teaching examples, labeled illustrative where they appear.
• The return-period arithmetic (the formula 1 − (0.99)^N and its tabulated values) — a correct general formula applied to illustrative inputs.
• The soft-market blow-up and delegated-authority failure composites (Case Studies 1 and 2) — labeled composites built from real, public industry patterns, with figures kept qualitative on purpose.
• The subrogation "path of the dollar" diagram and the $40,000 illustrative claim figure — round numbers chosen to make the mechanism legible.
• The three-fairness-metrics impossibility diagram and the disparate-impact audit pseudo-code — built to make the §35.4 incompatibility legible; illustrative, not executed.
• The worked credibility-blend, stop-loss, and risk-adjustment examples (the PMPM figures, the $200,000 specific / 125% aggregate illustration, the diagnosis-coding example) — round numbers chosen to make the mechanics legible, not real market data.
• The worked loss-run reading exercises (Figure 8.1; the year-by-year property histories in the exercises) — illustrative claim histories chosen to make frequency-versus-severity and trajectory legible.
• The worked pooling examples (the 100,000-home town; the law-of-large-numbers table) — illustrative round numbers chosen to make the mathematics legible.
• The worked structuring examples (deductible-credit math, the limit/sublimit diagram, the coinsurance arithmetic) — illustrative round numbers chosen to make the structuring decisions legible.
• Tindall Stores — constructed post-breach cyber submission, enriched in parallel (introduced Ch.24).
• Tindall Stores — the post-breach regional-retailer cyber submission introduced here and carried into Chapters 31 and 32; constructed.