ThriveWorks360 · Product Systems
ICON360 Evidence Library
Every law in the ICON360 framework mapped to its established academic or industry equivalent — with the primary source, what the research actually found, and where twenty years of operating experience goes beyond the published version.
55Citations surviving verification
36Confirmed at source
16Claims cut for cause
How to read this
The method
Seven independent research agents searched the literature for each law. A separate adversarial pass then tried to refute every citation — checking that the source exists, that authors and years are right, and that the finding is accurately characterised. Anything that could not be confirmed was cut and is listed at the end rather than quietly dropped.
Confirmed means the verifier retrieved the source and validated the claim. Partially confirmed means the source is real and the core claim holds, but a detail was corrected or a sub-claim was struck — the correction is stated inside the entry.
The Truth Rule applies. No source, author, year, or figure in this document was invented. Where something could not be verified it was removed, not softened. That is the point: a framework backed by fourteen citations that hold up is worth more than one backed by forty that do not.
The third column — Where Nathan extends it — is the commercially valuable one. It marks the gap between what the literature published and what running the system at a real manufacturer taught. That gap is the intellectual property.
The Record
Law by law
The Core Law — margin is designed upstream, revealed downstream
Core law: margin is DESIGNED in phase 1, SPENT in phase 2, CLAIMED in phase 3, REVEALED in phase 4 — cost is committed long before it is incurred.
Cost commitment (design lock-in) curve — the '70–80% of product cost is determined during design' rulePartially confirmed
Improving Engineering Design: Designing for Competitive Advantage (Committee on Engineering Design Theory and Methodology, National Research Council), National Academy Press — National Research Council, 1991
QUOTE CONFIRMED AT SOURCE, PROVENANCE CLAIM CORRECTED. The sentence "70 percent or more of product cost is committed early in the design phase" appears on p. 22 under "Modern Practices for Setting Strategy and Specifications," subsection "Product quality-cost models." The entry's core point stands — the figure is asserted, not derived, and carries no underlying empirical study. CORRECTION: the sentence does not footnote forward to a Chapter 4 research topic; it carries footnote marker [24], which attaches to a statement about activity-based costing supplying data for quality-cost models. Restate as: the number is asserted with no supporting study, footnoted only to an adjacent methodological remark.
Where Nathan extends itThe literature's curve has two states: committed vs. incurred. Nathan's has four, each with an owner and a gate. Phases 3 (CLAIMED — price, channel multiplier, tooling ownership) and 4 (REVEALED — cash, turns, defect returns, V2 timing) have no counterpart in the engineering-design literature, which stops at factory-gate unit cost.
The '70% rule' and its unverified provenanceConfirmed
J.A. Barton, D.M. Love & G.D. Taylor, "Design determines 70% of cost? A review of implications for design evaluation," Journal of Engineering Design 12(1): 47–58, DOI 10.1080/09544820010031553 — J.A. Barton, D.M. Love & G.D. Taylor, 2001
VERIFIED. Title, three authors, Journal of Engineering Design 12(1): 47–58, 2001, and the DOI all confirmed at Aston's repository. Abstract confirms the authors challenge the 70% assertion and argue design evaluation should take a holistic "design for the existing environment" view accounting for downstream business activities and the actual rather than idealised business state, supported by enterprise simulation experiments. SECONDARY CLAIM CONFIRMED SEPARATELY: dfma.com's public explainer does assert, with no citation of any kind, that "80% of manufacturing cost is locked in during design, before a supplier ever sees the drawing" — verified directly on the page (note the wording differs slightly from the entry's paraphrase). NOT CONFIRMED: the attribution of the original figure to an unnamed DARPA report — that is folklore about folklore; drop it.
Where Nathan extends itThe 70–80% number has no traceable primary study. Nathan's operating version is safer than the literature's because he claims a SEQUENCE (designed, spent, claimed, revealed) rather than a percentage. A sequence is falsifiable on his own P&L; a percentage is not. State the law as sequence-only; if the figure is used at all, label it 'widely asserted, never substantiated.'
Product archaeology / teardown-based cost decomposition — the empirical rebuttal to the 80% ruleConfirmed
Does Product Design Really Determine 80% of Manufacturing Cost? MIT Sloan School Working Paper #3601-93 (August 1993); published as "Assessing the Importance of Design Through Product Archaeology," Management Science 44(3): 352–369, 1998 — Karl T. Ulrich & Scott A. Pearson, 1993 (working paper) / 1998 (Management Science)
FULLY VERIFIED AND DIRECTIONALLY IMPORTANT. Working paper #3601-93, August 1993, both authors, MIT Sloan, confirmed at DSpace; Management Science 44(3): 352–369, 1998 confirmed via INFORMS DOI 10.1287/mnsc.44.3.352. They tore down 18 automatic drip coffee maker models (Braun, Krups, Mr. Coffee, Rowenta and others). Key conclusion verbatim: "the variation in manufacturing costs attributable to differences in product design is slightly smaller in magnitude than the variation in costs attributable to differences in manufacturing systems" — design range ~48% of average cost, manufacturing-system range ~31% under the two-plant assumption and larger under wider assumptions. Design does NOT dominate. Provenance of the 80% figure traced to two informal sources: an internal Ford survey cited in a 1988 Manufacturing Systems article (a Ford employee, contacted: "Oh, that was just an informal survey, I wouldn't base too much on it") and a 1980 Rolls-Royce analysis of 2,000 part drawings (Symon and Dangerfield 1980). The authors call the belief "folklore."
Where Nathan extends itThe single most important correction to the core law, and it validates the phase structure while puncturing the percentage. Ulrich and Pearson studied exactly this category — a consumer hard good with molded parts and a heater — and found WHERE and WITH WHOM you build is roughly as powerful as WHAT you designed. Honest amendment: 'margin is designed in phase 1 and can be re-designed or destroyed in phase 2 by factory choice.'
Relative impact of early vs late design decisions; empirical validation of the cost-commitment ruleConfirmed
James J.Y. Tan, Kevin N. Otto & Kristin L. Wood, "Relative impact of early versus late design decisions in systems development," Design Science Vol. 3, DOI 10.1017/dsj.2017.13 — Tan, Otto & Wood, 2017
FULLY VERIFIED, ALL FIGURES EXACT. Confirmed in the paper: "design decisions made before design freeze accounted for 86% of the total expected program cost, and 34% was determined before concept freeze." The rework multiplier is confirmed at ~13x for defects originating in the concept phase but detected after system-level testing. Setting confirmed: industrial UAV development at a major aerospace company, seven years of data, two primary programs averaging ~20 person-years annually. Design Science (Cambridge) Vol. 3, 2017, and the DOI are correct.
Where Nathan extends itThis is the study to cite instead of the DARPA ghost — real, retrievable, and defensible (86% before design freeze), plus a rework multiplier (13x) that maps onto Law 7 (QC distance). Where he goes beyond: this is a defence aerospace program with no channel, no retail multiplier, no inventory turns. Nobody has published the consumer-goods version of this curve.
Law 1 — Price sets the envelope
Law 1 — Price sets the envelope (run the model backward: retail price / channel multiplier = allowable landed cost = design budget)
Target costing / market-driven costing / "allowable cost"Partially confirmed
Target Costing and Value Engineering (Productivity Press, Portland OR / IMA Foundation for Applied Research, Montvale NJ; 379 pp., ISBN 1563271729) — Ch. 5 "An Overview of Target Costing and Value Engineering" and Ch. 6 "Market-Driven Costing" — Robin Cooper & Regine Slagmulder, 1997
VERIFIED AT SOURCE: publisher, year, 379 pp. and ISBN 1563271729 confirmed on the Internet Archive record; chapter 5 and chapter 6 titles confirmed on Taylor & Francis. The Ch. 6 abstract confirms verbatim: "The target costing process contains three major sections. It begins with market-driven costing, the purpose of which is to identify the allowable cost of future" products. The allowable cost is pushed onto designers as a constraint so market pressure reaches the drawing board rather than the P&L. NOT VERIFIED: the specific roster of seven Japanese firms (Isuzu, Komatsu, Nissan, Olympus, Toyota, Sony, Topcon) does not appear in any retrievable record for THIS book — that list belongs to Cooper's broader Japanese research program. Do not attribute the firm list to this title without checking the book's own methodology section.
Where Nathan extends itSame logic, different divisor. Cooper & Slagmulder run price MINUS a target profit margin. Nathan runs price DIVIDED BY a channel multiplier, encoding rep/distributor/dealer/marketplace fee in one number rather than treating margin as a single firm-level policy variable. He also anchors on LANDED cost (product + freight + duty + inbound) where the classic literature books freight/insurance/duty outside the manufactured target cost.
Price-first product development / "determine the price, then control costs to meet it"Confirmed
"Control Tomorrow's Costs Through Today's Designs," Harvard Business Review, January–February 1996 — Robin Cooper & W. Bruce Chew, 1996
FULLY VERIFIED AT SOURCE, quote exact: "Before a company launches a product (or family of products), senior managers determine its ideal selling price, establish the feasibility of meeting that price, and then control costs to ensure that the price is met." Authors, journal and Jan–Feb 1996 date confirmed on hbr.org. The article's argument is that cost-plus pricing is inverted: price is an input to design, not an output of it. Minor: the specific page cite "74(1), p. 97" could not be independently confirmed and should be dropped or checked against the print issue.
Where Nathan extends itNathan's version is the same inversion but makes it a GATE rather than a practice — the price-derived allowable cost is the MANDATE gate output, and if the number does not close the product does not proceed to CONSTRUCT360. Cooper & Chew describe a management discipline; they specify no kill authority.
"Price-led costing" — first of the six key principles of target costingPartially confirmed
Ansari & Bell with the CAM-I Target Cost Core Group, Target Costing: The Next Frontier in Strategic Cost Management (Irwin Professional Publishing, ISBN 0786310537), 1997; principles restated in Swenson, Ansari, Bell & Kim, "Best Practices in Target Costing," Management Accounting Quarterly (2003). Consumer hard-goods application: Man-Li Lin & Philip Y. Huang, "Using Target Costing to Manage Sporting Goods," International Journal of Strategic Cost Management 3(2), Fall 2009 — Shahid L. Ansari, Jan E. Bell & the CAM-I Target Cost Core Group, 1997; Lin & Huang, 2009
CORRECTED PUBLISHER: the book is Irwin Professional Publishing (ISBN 0786310537), not McGraw-Hill — Irwin later folded into McGraw-Hill, so "McGraw-Hill" is an anachronism on the 1997 imprint. Six principles CONFIRMED via Lin & Huang (2009), which states them as "price-led costing, consumer focus, design emphasis, product-lifecycle orientation, cross-functional structure, and value-chain involvement" and cites Swenson, Ansari, Bell & Kim (2003), Management Accounting Quarterly. The footwear chain is CONFIRMED verbatim in Lin & Huang: "Target Wholesale Price = Target Retail Price - Wholesale Margin. Target Cost = Target Wholesale Price – Profit Margin of Brand Company," with target cost comprising the target FOB paid to contract manufacturers plus "transportation, insurance, and duty." CITATION FIX: the original entry asserted the footwear application with no source and pointed at maaw.info, which is only a bibliography index. Cite Lin & Huang (2009) directly.
Where Nathan extends itClosest published match to Law 1 — the footwear application literally walks retail price back through the channel to an FOB target. Nathan collapses the multi-step subtraction into a single channel MULTIPLIER per channel type (10X retail, 3X container-direct), making it head-math at a trade show, and treats the multiplier as a PORTFOLIO decision across a product ladder rather than a per-SKU calculation.
Empirical adoption of target costing outside JapanPartially confirmed
"A Survey of the Adoption and Use of Target Costing in Dutch Firms," International Journal of Production Economics 84(3): 293–305 (working paper: VU Amsterdam Serie Research Memoranda 2001-10) — Henri C. Dekker & Peter Smidt, 2003
NUMBERS CORRECTED. The abstract of the working-paper version states: "Twenty-two of thirty-two responding firms claimed to use costing practices similar to target costing" — that is 22 of 32 (~69%), NOT 19 of 32 (~59%) as originally claimed. Confirmed at source: adoption is relatively high among assembling firms; adoption relates to an intense competitive and unpredictable environment; the main objective is cost reduction; product development and design departments lead the process while accounting is only moderately involved; team structures are the most frequently adopted organizational form. CLAIM REMOVED: "largely developed INDEPENDENTLY rather than copied from Japan" is not supported by the abstract, which says only that the practices "resemble the Japanese target costing concepts." Do not make the independent-reinvention argument on this citation. Journal, volume, issue and pages confirmed via RePEc.
Where Nathan extends itValidation of Nathan's law rather than an extension. What he adds is scale: Dekker & Smidt's sample is listed manufacturers with formal cross-functional programs; Nathan's operating version is for a firm with no cost-engineering department, where the discipline is carried by one person with a spreadsheet and a container quote.
Law 2 — 10X ceiling, 3X floor
Law 2 — 10X ceiling at retail, 3X floor at deepest channel
Markup chain / channel margin stacking (double marginalization; keystone pricing)Partially confirmed
Joseph J. Spengler, 'Vertical Integration and Antitrust Policy,' Journal of Political Economy 58(4): 347–352 (1950), DOI 10.1086/256964; applied in Michael H. Riordan, 'Competitive Effects of Vertical Integration,' in Buccirossi (ed.), Handbook of Antitrust Economics, MIT Press, 2008, pp. 145–182 (working draft Nov 2005). Cross-checked against Damodaran's gross-margin-by-industry dataset (NYU Stern). — Spengler 1950; Riordan 2008 book chapter (2005 working draft); Damodaran dataset, data as of January 2026
Spengler pagination now confirmed directly — JPE Vol. 58, No. 4 (1950), pp. 347–352, DOI 10.1086/256964 — so the entry's hedge about secondary listings can be dropped. Riordan quote verified verbatim: 'The vertical integration of successive monopolies eliminates this "double marginalization" and results in a lower price of the final good,' citing Spengler (1950). CORRECTION: Riordan is not a '2008 working paper' — it is a 2008 MIT Press Handbook chapter; the linked PDF is the November 2005 draft. Damodaran's January 2026 dataset verified exactly: Retail (General) 33.18%, Retail (Distributors) 30.57%, Retail (Special Lines) 35.30%, Household Products 51.04%. Amazon referral fees of 15% for Home & Kitchen, Sports & Outdoors, Toys & Games and Tools & Home Improvement, and 8% for consumer electronics, match 2026 third-party rate guides but were NOT verified against Amazon's own published fee schedule — re-source before publishing. Keystone pricing at 2x wholesale is trade convention, not a research finding.
Where Nathan extends itUnchanged, and the honest caveat is essential: 10X and 3X appear nowhere in the literature and must be presented as Grace Company operating experience, not cited research. The three genuine extensions stand — compounding the entire chain from FOB to shelf, treating the stack as a design constraint rather than an inefficiency to eliminate, and the survival FLOOR, which economics does not model.
Manufacturer encroachment and channel conflictConfirmed
Manufacturer encroachment and channel conflicts: A systematic review of the literature, European Journal of Operational Research, 302(2), 403–426 — Nail Tahirov and Christoph H. Glock, 2022
Citation verified exactly (EJOR 302(2):403–426, 2022). The framing quote is verified verbatim, with its full ending: 'Competition between manufacturers and retailers starts when the former intrude into the market (segment) that was traditionally served by the retailers via manufacturer-owned stores and online sales, which is commonly referred to as manufacturer or supplier encroachment.' The paper is a systematic review classifying modeling work on when adding a direct/e-commerce channel alongside independent retailers helps or harms each party.
Where Nathan extends itUnchanged. The academic work optimizes prices given a channel structure; Nathan's version is upstream — the channel multiplier determines whether the product can exist at all, forcing the decision at design stage. The literature almost never handles the container-direct/OEM tier, which sits in the private-label rather than encroachment literature.
Law 4 — Material before geometry
Law 4: Material before geometry.
Materials selection at the conceptual design stage; function–material–shape–process interactionConfirmed
Michael F. Ashby, Materials Selection in Mechanical Design, 4th edition, Butterworth-Heinemann (Elsevier) — Michael F. Ashby, 2011 (1st ed. 1992)
FULLY VERIFIED. 4th edition, 2011, Butterworth-Heinemann confirmed. Figure 2.6 confirmed as showing function, material, shape and process as interacting, with the accompanying text "The selection of material is tied in with process and shape. To make a shape, the material is subjected to processes..." and the explicit statement that "These interactions are two-way." The conceptual-stage screening argument is confirmed verbatim: "at the concept stage, the designer requires approximate property values, but for the widest possible range of materials. All options are open: A polymer may be the best choice for one concept, a metal for another." Figure 2.5 confirmed as showing data-precision requirements narrowing across design phases.
Where Nathan extends itAshby says material and shape are CONCURRENT and two-way. Nathan says material is FIRST. That is a genuine difference and a defensible operating simplification: material fixes process, process fixes tooling class, tooling class fixes MOQ, and MOQ fixes whether the product can exist at the price slot. Ashby's two-way arrows hold for a bespoke part where tooling is not the constraint. Nathan's version is a decision-ORDER heuristic imposed on Ashby's decision-SPACE.
Early materials and process selection; mould/die cost estimation; optimum number of cavitiesPartially confirmed
Geoffrey Boothroyd, Peter Dewhurst & Winston A. Knight, Product Design for Manufacture and Assembly, 3rd Edition, CRC Press, 2011, ISBN 9781420089271 (712 pp.) — Boothroyd, Dewhurst & Knight, 2011
VERIFIED WITH ONE SECTION-TITLE CORRECTION. Authors, 3rd edition, 2011, CRC Press, ISBN confirmed. Table of contents confirms a chapter "Selection of Materials and Processes" covering "General Requirements for Early Materials and Process Selection" through "Systematic Selection of Processes and Materials." "Design for Injection Molding" confirmed to contain both "Mold Cost Estimation" and "Estimation of the Optimum Number of Cavities." CORRECTION: the die casting chapter's parallel sections are titled "Die Cost Estimation" and "Determination of the Optimum Number of Cavities" — not "Mold Cost Estimation"/"Estimation of." NOT CONFIRMED IN THE TOC: "Mold Cost Point System" — drop or verify against the book. Vendor-published DFMA results confirmed on dfma.com: 20–50% part-count reduction, 10–30% assembly-time reduction, 15–40% total product cost reduction (these are Boothroyd Dewhurst marketing claims, not peer-reviewed results — label them as such).
Where Nathan extends itBoothroyd treats cavitation as an optimisation problem: given known annual volume, solve for the cavity count minimising unit cost. Nathan inverts it into an information problem — the cavity count and steel class you are willing to buy IS your forecast, auditable by a third party. Boothroyd's optimum-cavity maths also assumes you own the tool; where the tool is the OEM's (Law 6) the supplier's optimum is not the brand's.
Law 5 — Tool life is a demand forecast
Law 5: Tool life is a demand forecast (steel spec = volume belief).
Dedicated tooling amortisation and tool-life replacement in process cost models; economic batch size; process-selection cost crossoverConfirmed
A.M.K. Esawi & M.F. Ashby, "Cost estimates to guide pre-selection of processes," Materials & Design, 2003, DOI 10.1016/S0261-3069(03)00136-5 — Esawi & Ashby, 2003
FULLY VERIFIED, QUOTES EXACT. Authors, journal, year and DOI confirmed. The shaping-cost equation (Equation 5) carries an explicit tool-life term n_t — the number of units a tooling set produces before replacement — and the paper states verbatim: "Tooling wears out. If the run is a long one, replacement will be necessary." Unit cost is dominated by fixed tooling cost at small batch and flattens at large batch. Worked example confirmed (Figure 5): "thermoforming, at low batch sizes, is much less expensive than injection moulding, but that at a batch size of around 1000 injection moulding becomes the cheaper process."
Where Nathan extends itThe strongest match in the literature — the equation literally contains tool life as a variable that only matters if you believe volume will exceed it. What Esawi and Ashby do NOT do is treat the tool-life spec as a SIGNAL. In their model batch size n is a known input; in Nathan's world n is unknowable, so the steel you buy is the only place your real volume belief becomes visible. Using a cost-model input as a management diagnostic is not in the literature.
SPI mould classification (Classes 101–105) — industry standard mapping steel hardness to expected cycle lifePartially confirmed
Society of the Plastics Industry (SPI) mould building standards / classification, Classes 101 through 105 — original publication not retrievable; thresholds confirmed by consensus across independent moulder sources — Society of the Plastics Industry (SPI); publication date not established
CONFIRMED BY CONSENSUS, NOT AT SOURCE. Cycle thresholds are identical across multiple independent trade sources: Class 101 = 1,000,000+ cycles; Class 102 = up to 1,000,000; Class 103 = under 500,000; Class 104 = under 100,000; Class 105 = not exceeding 500 cycles (prototype). Hardness specs confirmed on at least one source: Class 101 "Mold base to be minimum hardness of 28 R/C. Molding surfaces (cavities and cores) must be hardened to a minimum of 48 R/C range"; Class 102 similar at 48 R/C; Class 103 "Cavity and cores must be 28 R/C or higher"; Class 104 "Mold base can be of mild steel or aluminum." CAVEATS: hardness figures are inconsistently reported across sources (one gives a Class 103 mold base at 8 R/C), several sources omit hardness entirely, and no primary SPI/SPE publication could be retrieved. Do not cite a document number, and present hardness figures as trade convention rather than a published standard.
Where Nathan extends itThe standard IS the law written as a spec sheet — the industry already encodes 'steel hardness = volume belief' and nobody says it out loud. Where he extends: moulders treat SPI class as a quality/durability grade to be negotiated, while Nathan treats class selection as a forecast document to be reconciled against actual sell-through and used as evidence in the V2 decision.
Law 6 — Whoever owns the tooling owns the leverage
Law 6 — Whoever owns the tooling owns the leverage
Property rights theory of the firm; residual rights of controlConfirmed
The Costs and Benefits of Ownership: A Theory of Vertical and Lateral Integration, Journal of Political Economy, 94(4), 691–719 — Sanford J. Grossman and Oliver D. Hart, 1986
Citation verified exactly (JPE 94(4):691–719, 1986). Confirmed: ownership is defined as 'the purchase of these residual rights of control'; ex-post renegotiation is efficient but distributes surplus toward the owner, distorting ex-ante investment — the owning party overinvests while the non-owning party underinvests. Hart shared the 2016 Nobel largely for this line of work.
Where Nathan extends itUnchanged. Grossman-Hart is about 'assets' in the abstract and is used to explain merge-or-don't-merge. Nathan names the specific asset (mold, die, fixture), converts it into a PROOF-gate checklist item, and adds the operating consequence — tooling ownership makes a supplier quote-able against a second source, so it converts into price leverage on reorders.
Appropriable quasi rents / hold-up; quasi-vertical integrationPartially confirmed
Vertical Integration, Appropriable Rents, and the Competitive Contracting Process, Journal of Law and Economics, 21(2), 297–326 (1978). Companion: Monteverde & Teece, 'Appropriable Rents and Quasi-Vertical Integration,' Journal of Law and Economics, 25(2), 321–328 (1982) — Benjamin Klein, Robert G. Crawford, Armen A. Alchian, 1978; Monteverde and Teece, 1982
Klein/Crawford/Alchian verified exactly (JLE 21(2):297–326, October 1978), including the quoted phrase in its fuller context: 'as assets become more specific and more appropriable quasi rents are created ... the costs of contracting will generally increase more than the costs of vertical integration.' The GM–Fisher Body 1919–1926 case is discussed at length: the 1919 ten-year contract, exclusive dealing to justify specific investment in production capacity, the pricing mechanism failing as demand shifted to closed bodies, GM finding the relationship intolerable by 1924, and the 1926 merger. CAVEAT UPHELD AND HARDENED: the Monteverde & Teece citation exists exactly as given (JLE 25(2):321–328, 1982), but its abstract is not retrievable from any open source and full text is paywalled — the 'buyer owns the specialized tooling' characterization remains inferred from title and secondary framing. Cite the title only, not the mechanism, unless someone pulls the full text.
Where Nathan extends itUnchanged. The literature frames tooling ownership as a defensive fix for hold-up risk, an alternative to buying the supplier. Nathan frames it as an offensive asset held from day one by a small company that will never vertically integrate, with the chain own the tool → move the tool → re-quote → reset landed cost feeding Law 1.
Law 7 — The QC distance law
Law 7 — QC distance law
Cost of Quality / the Prevention-Appraisal-Failure (PAF) modelPartially confirmed
ASQ, 'Cost of Quality (COQ)' quality resource. Concept origin generally attributed to A.V. Feigenbaum, 'Total Quality Control,' Harvard Business Review, 1956, and to Juran's Quality Handbook. — ASQ (current standing reference); Feigenbaum 1956 for the origin
Partially verified, with two corrections. CONFIRMED: ASQ lists four categories (prevention, appraisal, internal failure, external failure); internal failure costs are those associated with defects found before the customer receives the product or service, external failure costs those found after the customer receives it; and ASQ cites the 2025 ASQE Insights on Excellence Cost of Quality Report for the statistic that only 31% of respondents feel they fully understand the impact of quality costs on financial performance. NOT CONFIRMED — REMOVE: the ASQ page does NOT state that external failure is the most costly category, and does NOT attribute the concept's origin to Feigenbaum or Juran. The Feigenbaum/Juran attribution is accurate as general provenance but must not be sourced to ASQ. The ordinal claim external > internal is standard COQ doctrine but is not asserted on the cited page — re-source it or state it as convention.
Where Nathan extends itUnchanged, and the entry's own honesty flag on the 1-10-100 rule is correct and should stay: no primary academic source or original dataset for it was found; the Labovitz/Chang/Rosansky (1992) attribution is unverified. Nathan's genuine addition — classifying by POSSESSION (where the goods physically are when the defect is caught) rather than by process stage — is not in the standard COQ literature.
Offshoring quality risk; global sourcing and product recallsConfirmed
Quality risk in offshore manufacturing: Evidence from the pharmaceutical industry, Journal of Operations Management, 2011 (DOI 10.1016/j.jom.2011.06.004). Corroborating: Steven, Dong & Corsi, 'Global sourcing and quality recalls,' Journal of Operations Management, 2014 (DOI 10.1016/j.jom.2014.04.003) — John Gray, Aleda Roth, Michael J. Leiblein, 2011; Adams Steven, Yan Dong, Thomas Corsi, 2014
Both papers verified. Gray/Roth/Leiblein: 30 matched plant pairs (Puerto Rico vs mainland US, same parent company) confirmed; the quoted sentence 'Puerto Rican plants operate with a significantly higher quality risk than matching plants operated by the same firm located in the mainland U.S., on average' returns the JOM article on exact-phrase search. Gray is quoted publicly stating 'quality was not related to the distance between the plant and the company headquarters, the education of the local population near the plant, or the number of similar drug manufacturing plants in the area,' with the gap attributed instead to knowledge-transfer difficulty rooted in differences in language and values. Steven/Dong/Corsi abstract verified verbatim: 'offshore outsourcing has a greater impact on recalls than offshoring without outsourcing; outsourcing domestically has the least influence.' URL corrected from an SSRN mirror (posted 2024) to the JOM DOI.
Where Nathan extends itUnchanged. The studies measure quality outcomes (FDA violations, recall counts), not the remediation window. Gray et al.'s explicit finding that the driver is knowledge transfer rather than miles sharpens the law: the leverage is not literal distance, it is how hard it is to get your standard into their hands and keep it there.
Law 8 — GMROI beats margin
Law 8: GMROI beats margin (margin % x turns)
GMROI — Gross Margin Return on Inventory Investment; the Strategic Profit ModelConfirmed
Michael Levy, Barton Weitz & Dhruv Grewal, Retailing Management (10th ed., McGraw-Hill, 2019), Chapters 6 and 11 — Levy, Weitz & Grewal, 2019
VERIFIED. Authors, 10th edition, 2019 confirmed via McGraw-Hill's own changes document, which confirms GMROI is treated in both Chapter 6 (alongside "the strategic profit model and its component financial ratios, net profit margin percentage, asset turnover, and return on assets") and Chapter 11 (merchandise planning), with expanded GMROI explanation in the 10th edition. The formula (annual gross profit / average inventory at cost, algebraically gross margin % x inventory turns at cost) and the DuPont decomposition structure are standard and consistent with the confirmed chapter description. CAVEAT: the "GMROI above 3.0" rule of thumb was NOT confirmed in this textbook — it circulates via Wikipedia's retail summary attributing it to Levy & Weitz. Treat as folklore unless checked against the book.
Where Nathan extends itThe arithmetic is identical — Law 8 is GMROI, not a new formula. What differs is WHEN and BY WHOM. In the literature GMROI is a retailer's backward-looking merchandising metric computed by a buyer on realized POS and inventory data. Nathan applies it forward at the INNOVATE360/CONSTRUCT360 stage as a design constraint on a product that does not exist yet, from the brand seat, where inventory is committed by tooling volume, MOQ and container timing rather than by reorder.
The margin–turnover tradeoff; 'adjusted inventory turnover'Partially confirmed
Vishal Gaur, Marshall L. Fisher & Ananth Raman, "An Econometric Analysis of Inventory Turnover Performance in Retail Services," Management Science 51(2): 181–194, February 2005 — Gaur, Fisher & Raman, 2005
MOSTLY VERIFIED; ONE CLAIM REMOVED. Confirmed at source: 311 publicly listed U.S. retail firms, 1987–2000; inventory turnover varies systematically with gross margin, capital intensity and sales surprise; the model explains "66.7% of the within-firm variation and 97.2% of the total variation (across and within firms)"; and the authors construct an adjusted inventory turnover that "empirically adjusts inventory turnover for changes in gross margin, capital intensity, and sales surprise." An additional confirmed finding: both raw and adjusted turnover declined across 1987–2000. CLAIM NOT SUPPORTED BY THIS PAPER: the correlation between adjusted inventory turnover and risk-adjusted stock returns over 1984–2003 does not appear in this article's abstract — that result belongs to later work in the same research stream. Remove it from this citation or source it separately.
Where Nathan extends itThe empirical backbone for 'margin alone lies' — high margin and high turns systematically trade off, so ranking products by margin % ranks them on one axis of a two-axis system. Gaur/Fisher/Raman work at the FIRM level on public financial statements; Nathan applies the logic at SKU and tier level in a small hard-goods company where the dominant turn-killers are MOQ, container lead time and tooling amortization — none of which appear in their model (their capital-intensity variable is store/fixture capital, not tooling). Their paper also has no prescription.
GMROI benchmarking / category-relative GMROIConfirmed
Shopify Retail, "GMROI: How To Calculate Gross Margin Return on Investment" — industry practitioner guide computing GMROI from public retailer SEC filings — Shopify (industry source), retrieved August 2026
VERIFIED AT SOURCE, NUMBERS EXACT. Formula given as "GMROI = Gross profit ÷ Average inventory cost." Published figures confirmed: Abercrombie & Fitch 6.08, FIGS 3.45, Ulta Beauty 2.36, The Home Depot 2.23, Best Buy 1.82, all stated as derived from fiscal-year SEC filings. CAVEAT (already flagged in the entry and worth keeping): this is a vendor content-marketing guide, not peer-reviewed research; the figures are illustrative of method, not audited constants, and the accompanying 'GMROI above 3.0' rule of thumb remains unsourced folklore.
Where Nathan extends itThe highest-margin businesses on that list are not the highest-GMROI ones in a simple way — the spread is driven by turns as much as by margin, which is the claim. All published benchmarks are RETAILER-level and computed after the fact from 10-Ks. Nathan needs a product-level GMROI estimate before tooling is cut, which requires forecasting turns from channel and price-slot assumptions — an estimation problem the benchmark literature does not address.
Cash Conversion Cycle (CCC) = DIO + DRO − DPOPartially confirmed
Verlyn D. Richards & Eugene J. Laughlin, "A Cash Conversion Cycle Approach to Liquidity Analysis," Financial Management 9(1), Spring 1980, pp. 32–38 — Richards & Laughlin, 1980
CITATION FULLY VERIFIED. Financial Management Vol. 9, No. 1, Spring 1980, pp. 32–38 confirmed via JSTOR's issue index and multiple independent bibliographic databases (Semantic Scholar, EconBiz, ProQuest). The paper's argument — that static balance-sheet liquidity ratios are liquidation-oriented and misleading for a going concern, and that a flow measure of the days between paying for inventory and collecting cash is the better diagnostic — is the standard and uncontested characterization. NOT VERIFIED AT SOURCE (as the entry itself flagged): the article's own text was not retrieved, and the negative-CCC illustrations (Dell −36 days, Amazon −38 days, Best Buy ~5 vs Circuit City ~35) come from a Journal of Accountancy treatment, not from Richards & Laughlin — attribute them there or drop them.
Where Nathan extends itThe 'turns' half of GMROI is the DIO leg of the CCC, and the instinct that cash rather than P&L margin is the true constraint is precisely Richards & Laughlin's argument. Nathan pushes it upstream into product design, where DIO is set by decisions made before any inventory exists — container size, MOQ, tooling cavitation, colorway/SKU count, tool ownership — and merges CCC with margin into one product-level FUNDING gate, whereas the finance literature keeps liquidity and profitability analysis separate.
Working capital management and SME profitabilityConfirmed
Effects of working capital management on SME profitability, International Journal of Managerial Finance, Vol. 3(2), pp. 164–177 — Pedro J. García-Teruel & Pedro Martínez-Solano, 2007
Panel study of 8,872 Spanish SMEs, 1996–2002, testing for endogeneity. Abstract verbatim: managers can create value by reducing inventories and the number of days accounts are outstanding, and shortening the cash conversion cycle also improves the firm's profitability. All cited details (sample size, period, CCC, DIO, DSO) appear in the published abstract.
Where Nathan extends itUnchanged. The study measures aggregate firm-level working capital of existing operations; it says nothing about product selection, MOQ acceptance, or trading a higher-margin slow SKU against a lower-margin fast one, and cannot separate imported hard goods (long DIO by construction) from domestic-supply SMEs.
Law 9 — MOQ is a tax on small companies
Law 9: MOQ is a tax on small companies
Lot sizing with minimum order quantity (MOQ) constraintsConfirmed
An O(T³) algorithm for the capacitated lot sizing problem with minimum order quantities, European Journal of Operational Research, Vol. 211(3), pp. 507–514 — Irena Okhrin & Knut Richter, 2011
Title, authors, journal, volume, issue, pages and year all verified. Abstract confirms: single-item capacitated lot sizing where minimum order quantity acts as a minor set-up cost; the authors derive necessary and sufficient solvability conditions and an O(T³) dynamic-programming exact algorithm. Note: the parenthetical side-reference to 'The linear dynamic lot size problem with minimum order quantity' was NOT verified and has been dropped.
Where Nathan extends itUnchanged. The OR framing is computational and size-neutral — it asks how to optimize under an MOQ, never who bears its cost. The size-asymmetry / incidence claim is Nathan's, not the literature's; no paper establishing it was found.
Capital-constrained inventory management (asset-based financing newsvendor)Confirmed
Inventory Management with Asset-Based Financing, Management Science, Vol. 50(9), pp. 1274–1292 — John A. Buzacott & Rachel Q. Zhang, 2004
Citation verified exactly (Mgmt Sci 50(9):1274–1292, 2004). Abstract confirms all quoted elements: different interest rates on cash balance and outstanding loans, 'inventory financed by a loan may be more expensive than that by out-of-pocket cash,' a start-up setting constrained by limited capital and dependence on bank financing, and a bank/retailer newsvendor illustration. URL switched from the HKUST research portal to the INFORMS publisher page.
Where Nathan extends itUnchanged. The OR literature optimizes the order given the MOQ; Nathan's extension is responding at DESIGN time (SKU count, colorways, material and tooling that lowers the MOQ) rather than at financing time.
SME financing constraints and trade credit as financing of last resortConfirmed
Trade Credit: Theories and Evidence (NBER WP 5602; published Review of Financial Studies 10(3): 661–691, 1997) — Mitchell A. Petersen & Raghuram G. Rajan, 1996/1997
NBER WP 5602 verified (June 1996, Petersen & Rajan). Abstract confirms: sample of small firms with limited capital-market access; firms use more trade credit when institutional credit is unavailable; 'medium term borrowing against trade credit is a form of financing of last resort'; suppliers lend because of advantages in obtaining buyer information, liquidating goods, and an interest in the buyer's survival. CAVEAT RETAINED: the Beck & Demirgüç-Kunt (2006, JBF 30(11):2931–2943) companion cite was verified by citation metadata only, not full text.
Where Nathan extends itUnchanged. The finance literature establishes the cost-of-capital precondition but studies payment TERMS, not order SIZE. The supplier's 'repossess and resell' mechanism is weakest for custom-tooled, brand-specific hard goods — which sharpens rather than supports the general theory.
Law 10 — In hard goods, the consumable is the software
Law 10 — In hard goods the consumable is the software
Razor-and-blades / loss-leader complementary-goods pricing (and the historical myth around it)Confirmed
"The Razors-and-Blades Myth(s)", University of Chicago Law Review, Vol. 78, Iss. 1, Art. 12 — Randal C. Picker (2011)
Citation verified exactly. Picker shows the canonical story is historically false: Gillette did NOT sell razors cheap and blades dear during its 1904–1921 patent period, when it had the legal power to tie. It moved toward razors-and-blades only after patent expiry, building installed base via WWI government sales and low-priced handles first, then harvesting blades.
Where Nathan extends itUnchanged. Picker is a legal/historical post-mortem on one firm; Nathan turns it into a forward design instruction at the CONSTRUCT360/OWN360 stage. Picker's finding also warns the law: without a patent or genuine fit-and-function moat, blade profit is a rental, not an annuity.
Two-part tariff pricing (entry fee + metered usage); 'pricing the razor'Partially confirmed
"Pricing the razor: A note on two-part tariffs", International Journal of Industrial Organization, Vol. 42, pp. 19–22 — building on Walter Oi, "A Disneyland Dilemma: Two-Part Tariffs for a Mickey Mouse Monopoly", QJE 85(1): 77–96 (1971) — Richard Schmalensee (2015); Walter Y. Oi (1971)
Citation verified (IJIO 42:19–22, 2015). CORRECTED QUOTE — the paper's abstract is conditional on model form: 'With a uniform distribution of parallel linear demand curves it is never optimal to sell the razor below cost, while with two types of consumers and non-crossing linear demands it is optimal to do so for some parameter values.' The paper adds that the gaps are 'relatively small,' suggesting 'it is unlikely in practice that it will be optimal for a monopolist to sell razors at a loss.' The originally quoted phrase 'no matter how diverse potential buyers' tastes' was not found verbatim and has been replaced. Oi (1971) is cited extensively in the paper; the metered good is priced above marginal cost when demand curves do not cross.
Where Nathan extends itUnchanged in substance, but state the result as model-conditional, not unconditional: below-cost razors are optimal only in a small portion of the parameter space. The published models assume a monopolist with a captive meter; Nathan's version must survive open-standard knockoff blades, which is why the law lives downstream of tooling ownership (Law 6).
Proprietary aftermarket market power / installed-base lock-inConfirmed
"Exercising Market Power in Proprietary Aftermarkets", Journal of Economics & Management Strategy, Vol. 9, No. 2, pp. 157–188 — Severin Borenstein, Jeffrey K. MacKie-Mason, Janet S. Netz (2000)
Citation verified exactly. Result 1 in the paper reads verbatim: 'No equilibrium exists in which the firms charge a service price equal to marginal cost in every period. If a constant-price equilibrium does exist, the firms charge a service price above marginal cost.' Shown to hold across differentiated duopoly, undifferentiated Bertrand, and monopoly equipment markets — i.e. competitive equipment markets do not discipline aftermarket prices.
Where Nathan extends itUnchanged. The paper treats aftermarket pricing as a post-sale extraction choice and assumes proprietary lock is technically given; in quilting hard goods the lock must be manufactured at tooling spec. The paper's risk flag stands: harvesting the installed base too hard trades future equipment sales for present blade margin.
Aftermarket / after-sales profit pool; service-and-parts economicsConfirmed
"Winning in the Aftermarket", Harvard Business Review, May 2006 — Morris A. Cohen, Narendra Agrawal, Vipul Agrawal (2006)
Every statistic verified against the article text: 45% of gross profits from the aftermarket on 24% of revenues; ~$1 trillion/year US spending on assets already owned, ~8% of GDP; aftermarkets four to five times larger than the original-equipment business; GM earned relatively more profit from $9B of after-sales revenue in 2001 than from $150B of car sales (Accenture study); inventory turns of one to two times annually are common and 23% of parts become obsolete every year. HP FY2024 comparison also verified from HP's Q4 FY24 press release: Printing $17,338M revenue, Supplies $11,295M, Printing operating margin 19.0%; Personal Systems $36,195M at 6.1%. Reprint code R0605H was not independently verified — drop it or leave unsourced.
Where Nathan extends itUnchanged, and the warning is load-bearing: the same article's 1–2 turns/year and 23% annual obsolescence collide with GMROI (Law 8). Attach revenue is high-margin but can be low-turn and obsolescence-exposed if SKU count sprawls across machine generations.
Indirect network effects and hardware/software attach rate in console marketsConfirmed
"Indirect Network Effects and the Product Cycle: Video Games in the U.S., 1994–2002", The Journal of Industrial Economics, Vol. LIII, December 2005 — Matthew T. Clements, Hiroshi Ohashi (2005)
All figures verified in the paper: hardware demand elasticity w.r.t. software variety averages 1.89 (low 0.75 for Saturn, peak 5.56 for PlayStation in 2000); 'a 1% increase in game titles is equivalent to a 2.3% price cut'; hardware price elasticity falls from -1.92 in the introduction year to -0.52 after seven years; the authors note it is widely speculated all major consoles sold near marginal cost with 'software licensing fees' the primary revenue source for hardware producers. Minor precision note: the 5.56 peak is a specific console-year (PlayStation 2000), not a generic 'mid-cycle' value.
Where Nathan extends itUnchanged. The attach effect is near zero at launch and only bites mid-cycle, so the operating law must be sequenced — a longarm or cutter launched with a thin ruler/blade line gets no attach lift at launch. Unlike a console, a quilting consumable has real COGS and freight, so 'sell the box at marginal cost' does not transfer.
Information-goods cost structure; value-based rather than cost-plus pricingConfirmed
Information Rules: A Strategic Guide to the Network Economy, Harvard Business School Press, Chapter 1 — Carl Shapiro and Hal R. Varian (1998)
All three quotes verified verbatim on p.3 of Chapter 1 under 'The Cost of Producing Information': 'Information is costly to produce but cheap to reproduce'; 'production of an information good involves high fixed costs but low marginal costs'; and 'cost-based pricing just doesn't work: a 10 or 20 percent markup on unit cost makes no sense when unit cost is zero. You must price your information goods according to consumer value, not according to your production cost.'
Where Nathan extends itUnchanged. The mapping (physical consumable behaves economically like software; machine behaves like a capital good) is Nathan's. Honest limit retained: a ruler or blade has non-trivial marginal cost and real freight, so the analogy holds on pricing logic, not cost structure.
Customer lifetime value as firm value; retention elasticityConfirmed
"Valuing Customers", Journal of Marketing Research, Vol. 41, No. 1, pp. 7–18 (2004) — Sunil Gupta, Donald R. Lehmann, Jennifer Ames Stuart (2004)
Verified in the retrieved working version: improving retention by 1% improves customer value by 2.45–6.75%; margin elasticity ≈1.0; acquisition-cost elasticity 0.02–0.32%; the paper states 'retention elasticity is 3-7 times margin elasticity, and 10-100 times acquisition elasticity.' Customer value tracked market value closely for 3 of 5 firms — Ameritrade $1.62B vs $1.40B, Capital One $11.00B vs $14.08B, E*Trade $2.69B vs $3.35B; Amazon and eBay diverged. Note the linked PDF is the pre-publication working version; the published cite is JMR 41(1):7–18 (Feb 2004).
Where Nathan extends itUnchanged, and the honest weakness stands: the paper's setting is services/subscription with contracts and churn models. A hard-goods consumable can be substituted by a generic at any reorder, so the 'annuity' is only as durable as the interface lock (Law 6).
Patent exhaustion / limits on post-sale restrictions in aftermarketsConfirmed
Impression Products, Inc. v. Lexmark International, Inc., 581 U.S. 360 (2017) — U.S. Supreme Court, Roberts, C.J., decided May 30, 2017 (7-1; Gorsuch took no part; Ginsburg concurring in part and dissenting in part on foreign exhaustion)
Verified. Holding quoted verbatim: 'a patentee's decision to sell a product exhausts all of its patent rights in that item, regardless of any restrictions the patentee purports to impose.' Lexmark's single-use/no-resale terms on toner cartridges were unenforceable via patent infringement (contract remedies only), and an authorized sale outside the US also exhausts US patent rights. Vote detail sharpened: 7-1 with Gorsuch not participating; Ginsburg's partial dissent went only to the international-exhaustion holding.
Where Nathan extends itUnchanged and the strongest practical caveat in the set: after Lexmark the enforceable moat is the tool, not the terms. You cannot contract your way to an attach annuity after the sale.
Law 11 — R&D has two jobs: capability and cost
Law 11 — R&D has two jobs: capability AND cost (design-to-cost to hit a price slot)
Design-to-Cost (DTC) — cost as a design parameter co-equal with performance and scheduleConfirmed
Apgar, Colabella & Mourikas, "Design to Cost (DTC): What It Is and Why You Should Care," ICEAA Professional Development & Training Workshop, May 2023 (citing DoDD 5000.1, DoDD 5000.28, DoDI 5000.02); GAO, "The Department of Defense's Application of the Design-to-Cost Concept," PSAD-78-79, March 20, 1978 — Hank Apgar, Lisa Colabella & Karen Mourikas, 2023; GAO, 1978
FULLY VERIFIED, BOTH SOURCES. ICEAA deck confirms authors, May 2023 workshop, the three DoD directive citations, and the definition verbatim: DTC is "a systematic approach for controlling costs of products by considering cost as a technical design parameter, one on equal footing with performance and schedule in order to meet stated cost goals." GAO PSAD-78-79 confirmed at gao.gov with the March 20, 1978 date, five programs reviewed, and the finding that "the concept as defined by DOD was not closely followed" — specifically "not establishing design-to-cost targets during concept formulation when the greatest flexibility existed," "overemphasis on controlling the more immediate acquisition costs rather than life cycle costs," and "failure to develop the cost database needed to establish cost-performance estimating relationships." All three failure modes in the entry are exact.
Where Nathan extends itLaw 11 is DTC with a commercial origin for the number. In DoD the cost cap is an affordability ceiling imposed by the customer on mission value; in ICON360 it is DERIVED from a retail price slot and channel structure, so the constraint is market-authored rather than budget-authored. The GAO failure modes map onto the framework as gates rather than findings.
Value Engineering / Value Analysis — function at lowest life-cycle costConfirmed
OMB Circular No. A-131, "Value Engineering," revised December 26, 2013; methodological origin in Lawrence D. Miles, Techniques of Value Analysis and Engineering (McGraw-Hill, 1961), developed at General Electric — U.S. Office of Management and Budget, 2013 (orig. 1993); Miles, 1961
VERIFIED AT SOURCE. The December 26, 2013 revision date and the VE definition are confirmed in the circular text: "a systematic process of reviewing and analyzing the requirements, functions and elements of systems, project, equipment, facilities, services, and supplies" to achieve essential functions at lowest life-cycle cost consistent with required performance, reliability, quality and safety. Annual reporting to OMB confirmed and MORE SPECIFIC than the entry claimed: by December 31 each year agencies report net life-cycle cost savings, the project dollar threshold requiring VE (default $5 million), the Senior Accountable Official's contact information, and descriptions of the top five VE projects including savings, cost avoidances and quality improvements. Confirmed that the circular publishes no aggregate savings figures. NOT INDEPENDENTLY VERIFIED: the Miles 1961 bibliographic detail and the "from December 1947" GE origin date — both are standard but were not checked at source here.
Where Nathan extends itVE is the toolset inside Law 11. Two real differences: (a) codified VE is a REVIEW process applied to an existing requirement or design, whereas Law 4 forces the cost-function tradeoff before there is a design to review; (b) A-131's objective is lowest LIFE-CYCLE cost for fixed function, while Nathan's is hitting a specific PRICE SLOT in a ladder, which can mean deliberately designing DOWN function. Federal VE has no equivalent of intentionally engineered limitation as a portfolio device.
Cost tables (genka hyo) — design-stage cost estimation infrastructure behind Japanese target costingPartially confirmed
Takeo Yoshikawa, John Innes & Falconer Mitchell, "Cost Tables: A Foundation of Cost Management in Japan," Journal of Cost Management for the Manufacturing Industry, June 1990 — Takeo Yoshikawa, John Innes & Falconer Mitchell, 1990
CITATION CONFIRMED, FINDING TEXT NOT CONFIRMED AT SOURCE. The article exists with that exact title, those three authors, in Journal of Cost Management for the Manufacturing Industry, June 1990. WARNING: the URL in the original entry (academia.edu/2051775) is NOT the Yoshikawa/Innes/Mitchell paper — it is a different document that cites it. That document does confirm cost tables are deployed alongside "Value Engineering, Variety Reduction Program, Cost Table, Quality Function Deployment, Design For Manufacturing and Assembly" to "define the most acceptable combination of components which sustain a cost reduction," and that the process involves purchasing officers and cross-functional teams during product development. But the entry's fuller characterization — maintained databases of the cost consequences of design and process choices, priced at the concept/sketch stage, without which target costing has no fast cost feedback — could not be read out of the 1990 article itself. Cite the article for the existence and role of cost tables; do NOT quote the descriptive sentence as if it came from Yoshikawa et al. Remove the dead academia.edu URL.
Where Nathan extends itThe literature treats cost tables as the substrate for cost-down R&D — the asset a small consumer-goods firm cannot afford to build. Nathan's substitutes are supplier quotes plus amortized tooling plus landed-cost math, refreshed per program rather than maintained as a standing database. Law 5 (tool life is a demand forecast) is a genuine addition: cost tables model cost as a function of volume but do not treat the TOOLING SPECIFICATION as an encoded forecast.
Law 12 — The Ceiling Effect
Law 12 — The Ceiling Effect
Damaged goods / deliberate quality degradation as second-degree price discriminationPartially confirmed
"Pricing Damaged Goods," Economics: The Open-Access, Open-Assessment E-Journal, Vol. 1, 2007-1, building on "Damaged Goods," Journal of Economics & Management Strategy 5(2): 149–174 (1996) — R. Preston McAfee, 2007; Raymond Deneckere & R. Preston McAfee, 1996
McAfee (2007) verified, including all four examples: Sharp DV740U with PAL capability hidden by a plastic remote cover; Vegas Movie Studio $129.99 vs Platinum $179.99; Windows XP Home missing remote desktop / automated system recovery / dynamic disk; Saturday-night-stay airfares. The key result is verified verbatim: 'profitability does not depend on the distribution of valuations, only the relative valuations,' and under proportional crimping (λ(x)=βx) 'it never pays to offer the crimped good.' CORRECTION on the 1996 companion: the JEMS abstract says only that damaging 'may result in a Pareto improvement.' The stronger phrasing 'seller and all buyer types better off' is not in the abstract and should be softened to 'can be Pareto improving.'
Where Nathan extends itUnchanged. (1) The literature fences at PURCHASE; the Ceiling Effect fences in USE — no post-purchase-experience construct exists in these models. (2) McAfee's cases are near-zero-marginal-cost degradations; in hard goods the ceiling is set by material and tool spec, so degrading is not free. (3) The models are entirely silent on disclosure, so 'do not advertise the next tier' has no counterpart.
Good-Better-Best (GBB) architecture and 'fence attributes'Confirmed
"The Good-Better-Best Approach to Pricing," Harvard Business Review, September–October 2018 (reprint R1805H) — Rafi Mohammed, 2018
Author, issue date and reprint number R1805H verified. Article confirms: a stripped-down 'Good' pulls in price-sensitive new buyers, 'Better' holds the core, 'Best' captures premium spend; 'fence attributes' are features withheld from the Good tier specifically to stop existing customers from trading down; the Allstate early-2000s auto-insurance research on accident forgiveness and clean-record rewards is present. The entry's own note is accurate — the article gives no numeric guidance on price spacing or cannibalization magnitude.
Where Nathan extends itUnchanged. Mohammed's fence is defensive (stop downgrade); Nathan's ceiling is offensive (a wall the customer is expected to hit). Mohammed assumes all three tiers are marketed side by side for shelf comparison; Nathan suppresses next-tier advertising so the limit is discovered through ownership.
VersioningPartially confirmed
"Versioning: The Smart Way to Sell Information," Harvard Business Review, November–December 1998 — Carl Shapiro & Hal R. Varian, 1998
Article existence, authorship, journal and date verified. The core thesis — near-zero marginal cost makes positioning and pricing the entire game, so sell multiple versions of the same underlying asset tuned to different segments — is consistent with the authors' published work. HONEST FLAG STRENGTHENED: full text is paywalled and every accessible full-text mirror returned 404. The Nynex $10,000 CD phone book example could NOT be verified against the article text and should be dropped or re-sourced before it is cited. Guidance on degrading the low-end version and on the optimal number of versions likewise remains unverified and is not attributed.
Where Nathan extends itUnchanged. Versioning assumes zero marginal cost, so version count is attention-constrained; in hard goods each version is a separate BOM, tool, MOQ and inventory position, so it is capital-constrained. Law 10 is the bridge — versioning economics apply to the blade/ruler layer, tooling economics to the hardware layer.
Law 13 — Entry products sell permission, not profit
Law 13 — Entry products sell permission not profit
Loss-leader pricing with upgrades / below-cost base productConfirmed
"Loss-leader pricing and upgrades," Economics Letters, Vol. 122, Issue 1, pp. 19–22 (2014) — Younghwan In & Julian Wright, 2014
Citation verified exactly. Abstract confirms: firms advertise a discounted, below-cost product to signal that their other substitute goods are reasonably priced; applied to upgrade pricing, the firm loses money on the segment buying the base product and profits on the segment buying the upgrade — explicitly distinguished from classical loss-leader theory. Companion cite independently verified: Hess & Gerstner, 'Loss Leader Pricing and Rain Check Policy,' Marketing Science 6(4):358–374 (1987).
Where Nathan extends itUnchanged. (1) In & Wright treat base + upgrade as one purchase occasion; Nathan's ladder spans separate purchases over years, so a non-ascending entry SKU is dead working capital under MOQ (Law 9) dragging GMROI (Law 8). (2) The model gives no floor on how far below cost to go; Laws 1 and 2 supply one.
Free trial / freemium design optimized for downstream conversionPartially confirmed
"Design and Evaluation of Optimal Free Trials," Management Science 69(6): 3220–3240 (2023) — Hema Yoganarasimhan, Ebrahim Barzegary & Abhishek Pani, 2023
Citation verified exactly (Mgmt Sci 69(6):3220–3240, 2023; DOI 10.1287/mnsc.2022.4507). Design verified: 337,724 users, six markets, Dec 2015–Jan 2016, randomized 7/14/30-day trials. NUMBERS CORRECTED — the entry's conversion levels were wrong. Table 5 test-data rates are 30-day 14.63% (baseline), 7-day 15.44%, 14-day 15.11% (entry said 14.67%, 15.36%, 14.96%). The relative lifts as stated ARE correct and internally consistent with the corrected levels: +5.59% for 7-day (t=2.58, significant) and +3.28% for 14-day (t=1.51, not significant). Learning/dormancy figures verified (log-usage 4.77 at 7 days to 5.18 at 30 days; dormancy 4.6 days to over 21 days), as is the personalized policy result: +6.8% subscriptions, +7.96% subscription length, +11.61% two-year revenue.
Where Nathan extends itUnchanged. The paper's only lever is calendar length, which is free; in hard goods the lever is spec, which costs money and tooling. And the paper personalizes per user, whereas a hard-goods entry SKU is one spec for everyone — the ceiling must sit at the median ambition of the tier.
Free-to-fee migration; acquisition asset vs revenue assetConfirmed
"Moving from Free to Fee: How Online Firms Market to Change Their Business Model Successfully," Journal of Marketing, Vol. 72, No. 3 (May 2008), pp. 14–31 — Koen Pauwels & Allen Weiss, 2008
Citation verified exactly. Every number checked against the paper's model decomposition: $4.64/day advertising revenue lost; $277/day subscription revenue gained; 208/day direct loss of new free signups; 71/day from reduced marketing effectiveness; 752/day from losing conversion e-mail blasts to free users; ~1,031 free subscriptions lost daily against 144 gained; ~2% of paid-subscriber revenue; search-engine referrals about three times as effective at generating yearly versus monthly subscriptions.
Where Nathan extends itUnchanged. The free tier here had essentially zero COGS, so 'permission not profit' had no floor; a physical entry SKU has landed cost, freight, MOQ and shelf inventory, so permission has a hard computable price per unit. The paper models one migration event, not a multi-rung ladder with cannibalization constraints.
Law 14 — No gaps in the ladder
Law 14 — No gaps in the ladder
Product/brand proliferation as entry deterrenceConfirmed
"Entry Deterrence in the Ready-to-Eat Breakfast Cereal Industry," The Bell Journal of Economics, Vol. 9, No. 2 (Autumn 1978), pp. 305–327 — Richard Schmalensee, 1978
Citation verified exactly. Confirmed: using a spatial competition framework with brands treated as relatively immobile, Schmalensee argues 'the industry's conduct, in which price competition is avoided and rivalry focuses on new brand introductions, tends to deter entry and protect profits' — proliferation fills the product space so no remaining niche covers an entrant's fixed costs. Written in the antitrust context of the FTC's RTE cereal case.
Where Nathan extends itUnchanged. Schmalensee's model has no cannibalization penalty on the incumbent, so its logic runs toward maximal proliferation; Nathan adds the opposing constraint, producing an optimal spacing band. Fixed cost per rung is also far higher — tooling capital, tooling ownership (Laws 5–6) and an MOQ commitment (Law 9) cap ladder density. Schmalensee studies horizontal variety (flavors); Nathan's ladder is vertical (capability tiers).
Self-selection product line design; cannibalization and downward quality distortionConfirmed
Citation verified exactly (Marketing Science 20(3):265–283, 2001; DOI 10.1287/mksc.20.3.265.9767). Abstract confirms the contingency result: when coverage is incomplete, firms may give each segment its preferred quality, contrary to textbook second-degree price discrimination; competitive intensity, differentiation and taste preferences determine whether cannibalization binds; weaker low-segment taste preferences worsen cannibalization. Hotelling-based spatial model in monopoly and duopoly settings.
Where Nathan extends itUnchanged. The literature yields optimal qualities inside a model, not an operator spacing rule. Desai's contingency result actively supports judging spacing per category rather than at a fixed multiple. These models assume quality is a free continuous choice; in hard goods each rung is discrete and capitalized, making the ladder jointly a product-line and capital-allocation problem.
Law 15 — Announcing V2 kills V1
Law 15 — Announcing V2 kills V1
New product preannouncement; phantom products and the Osborne effectConfirmed
New Product Preannouncement: Phantom Products and the Osborne Effect, Management Science, 65(8), 3776–3799 — Ram C. Rao and Ozge Turut, 2019
Citation verified exactly (Mgmt Sci 65(8):3776–3799, August 2019). Abstract confirms: 'unavailable products, also known as phantom products, influence the reference point that consumers compare alternatives to when making a choice'; the damage runs through loss aversion and reference-dependent preferences so consumers revalue rather than merely postpone; and 'the significant lowering of current profits is not offset by future gains.' Whether preannouncement pays is conditional on whose sales are cannibalized and relative margins.
Where Nathan extends itUnchanged. (1) Rao and Turut's model has no inventory in it; Nathan's balance-sheet framing names the actual killer — stranding paid-for, tooled, landed inventory with a carrying cost. (2) The paper's conclusion is conditional, so Nathan's sequencing rule is the correct default for a company whose V1 inventory is its own, NOT a universal law — and the research is where that boundary sits.
Vaporware; preannouncement as market signal / entry deterrencePartially confirmed
Truth or Consequences: An Analysis of Vaporware and New Product Announcements, Journal of Marketing Research, 38(1), 3–13 — Barry L. Bayus, Sanjay Jain, Ambar G. Rao, 2001
Citation verified exactly (JMR 38(1):3–13, February 2001). All figures confirmed: 123 software products announced 1985–1995; mean slip 3.5 months; 53% shipped within three months of the announced date; 75% within nine months; only 5% shipped early. The inverted-U result is confirmed — firms with intermediate development costs misstate dates while very-low-cost and very-high-cost firms announce accurately — with entry deterrence as the strategic payoff. CORRECTION to the Osborne honesty note: The Henry Ford blog does state flatly 'This did not actually happen,' but the causes it gives are internal political maneuvering between Osborne and new CEO Robert Jaunich, MANUFACTURING problems, and IBM-compatible luggables taking market share. It does NOT cite inventory mismanagement — replace that word with 'manufacturing problems' or drop it.
Where Nathan extends itUnchanged. Bayus et al. show preannouncement can be a weapon aimed at competitors; Nathan's law treats it as self-harm aimed at your own inventory — both true, and which applies depends on whether you have more to lose from a rival entering a ladder gap (Law 14) or from stranding V1 stock. In hard goods the announcement is bounded by a tooling date and container lead time, so the slip distribution is a cash-conversion-cycle risk, not a marketing risk. The honesty note stands: the mechanism is peer-reviewed, the origin story is not.
The Ramp — new product into a new category
THE RAMP — demand for a new consumer hard good arrives on a curve, driven by adopters recruiting adopters
The Bass Diffusion Model / coefficient of innovation (p) and coefficient of imitation (q)Partially confirmed
Frank M. Bass, "A New Product Growth for Model Consumer Durables," Management Science 15(5): 215–227, January 1969 (republished Management Science 50(12 Supplement): 1825–1832, December 2004). p/q averages: Mahajan, Muller & Bass, "Diffusion of new products: Empirical generalizations and managerial uses," Marketing Science 14(3): G79–G88, 1995 — Frank M. Bass, 1969; Mahajan, Muller & Bass, 1995
BASS CONFIRMED, p/q ATTRIBUTION CORRECTED. Bass 1969 confirmed at INFORMS: Management Science 15(5): 215–227, January 1969, republished December 2004 at 50(12 Supplement): 1825–1832. Abstract confirms "the timing of a consumer's initial purchase is related to the number of previous buyers," with "a behavioral rationale... offered in terms of innovative and imitative behavior," tested against eleven consumer durables, and a long-range forecast for colour television. IMPORTANT CORRECTION: the p ≈ 0.03 (range 0.01–0.03) and q ≈ 0.38 (range 0.3–0.5) figures are attributed by Wikipedia to Mahajan, Muller & Bass (1995), Marketing Science 14(3): G79–G88 — NOT to Sultan, Farley & Lehmann (1990) as the entry claimed. Sultan, Farley & Lehmann (1990), JMR 27: 70–77, is a real meta-analysis of "213 applications of diffusion models from 15 articles," but its abstract reports no average p or q. Cite Mahajan/Muller/Bass 1995 for the coefficients, or verify at source before quoting them at all.
Where Nathan extends itBass is a forecasting model — shape, not action. Nathan's version is a cash-and-inventory instruction: because q dominates p, the volume that pays for tooling arrives in year 2–3, so the Law 5 steel spec must be bought against the ramp's back half. Bass also takes market potential m as a given input; Nathan treats m as something the price slot and the ladder SET. Bass has no MOQ, no landed cost, no container lead time.
Sales 'takeoff' — the elbow discontinuity in the early product life cycleConfirmed
Peter N. Golder & Gerard J. Tellis, "Will It Ever Fly? Modeling the Takeoff of Really New Consumer Durables," Marketing Science 16(3): 256–270 — Golder & Tellis, 1997
FULLY VERIFIED, ALL FIGURES EXACT. Marketing Science 16(3): 256–270, 1997 confirmed. Takeoff is "an elbow-shaped discontinuity in the sales curve showing an average sales increase of over 400%." Confirmed: six years to takeoff for post-WWII categories (versus 18 years pre-WWII, a detail worth adding), 1.7% average market penetration at takeoff, takeoff price averaging 63% of introductory price, and clustering near the $1,000, $500 and $100 price points. The hazard model is confirmed with "an expected average error of 1.2 years" one year ahead; the upper bound of the entry's "1.2–1.9 years" range and the ">90% of categories" accuracy claim were not visible in the abstract — verify before quoting.
Where Nathan extends itThe strongest empirical backing for The Ramp, and the '63% of introductory price' finding independently supports Law 1: the market does not take off until the price slot is hit, so the ramp is a pricing outcome, not a time outcome. Golder and Tellis observe the price decline passively; ICON360 says design to the takeoff price up front rather than waiting six years to decay into it. Their unit is category-level really-new durables; Nathan's is sub-category hard goods inside an existing category, where 1.7% of the population is not the right denominator.
The 'saddle' in new product growth (related to Moore's 'chasm')Confirmed
Jacob Goldenberg, Barak Libai & Eitan Muller, "Riding the Saddle: How Cross-Market Communications Can Create a Major Slump in Sales," Journal of Marketing 66(2): 1–16 — Goldenberg, Libai & Muller, 2002
FULLY VERIFIED, QUOTE EXACT. Journal of Marketing 66(2): 1–16, April 2002 confirmed. The abstract states verbatim that "between one-third and one-half of the sales cases involved the following pattern: an initial peak, then a trough of sufficient depth and duration to exclude random fluctuations, and eventually sales levels that exceeded the initial peak" — note the third clause, which the entry omitted and which matters: the saddle resolves upward. Cross-market communication figures confirmed: at low communication levels more than 50% of growth cases show a saddle; at high communication levels the proportion falls below 5%.
Where Nathan extends itThe honest correction to a naive Ramp. The saddle is the most dangerous moment for a hard-goods company because it lands exactly when the second container is committed and the founder is deciding whether to kill the SKU. The published cure — increase cross-market communication — maps onto Law 12 and Law 13: the ladder IS the cross-market communication channel. That connection is not in the paper. This literature is consumer electronics; whether quilting/sewing hard goods show the same saddle rate is unverified.
Marketing-mix effects on diffusion / advertising as a driver of the coefficient of innovationConfirmed
Dan Horsky & Leonard S. Simon, "Advertising and the Diffusion of New Products," Marketing Science 2(1): 1–17, 1983; with Bass, Krishnan & Jain, "Why the Bass Model Fits without Decision Variables," Marketing Science 13(3): 203–223, 1994 — Horsky & Simon, 1983; Bass, Krishnan & Jain, 1994
BOTH SOURCES FULLY VERIFIED. Horsky & Simon: Marketing Science 2(1): 1–17, 1983 confirmed; the model puts producer advertising on the innovator side and word-of-mouth on the imitator side; telephonic banking confirmed as the empirical case; and the optimal policy is confirmed verbatim as "to advertise heavily when the product is introduced and to reduce the level of advertising as sales increase." Bass, Krishnan & Jain: Marketing Science 13(3): 203–223, 1994 confirmed; they "generalize the Bass model to include decision variables such as price and advertising" and show "the generalized model reduces to the Bass model as a special case and explains why the Bass model works so well without including decision variables." NOTE: the entry's gloss that marketing spend "mostly shift[s] the curve in time rather than change[s] its shape" is a reasonable reading of the generalized-Bass result but is not stated in those words in the abstract — present it as interpretation.
Where Nathan extends itFor a hard good with finite tooling life and financed inventory, shifting the curve left IS the whole game — a ramp arriving 18 months late against a Law 5 tool amortization and a Law 8 GMROI clock is a dead product. None of these papers price the spend against landed cost. In ICON360 the marketing spend that drives the ramp comes out of the same allowable-landed-cost envelope set in Law 1, so 'spend to drive the ramp' and 'design the margin in phase 1' are the same decision. That coupling is absent from the diffusion literature.
Advertising carryover / duration of advertising effect (adstock decay)Confirmed
Darral G. Clarke, "Econometric Measurement of the Duration of Advertising Effect on Sales," Journal of Marketing Research 13(4): 345–357, November 1976 — Darral G. Clarke, 1976
VERIFIED AT SOURCE, QUOTES EXACT. JMR 13(4): 345–357, November 1976 confirmed. The abstract concludes that "the cumulative effect of advertising on sales lasts for only months rather than years," and that "the data interval is shown to have a powerful influence on the implied duration of advertising effect" — studies on annual data produce far longer estimated durations than studies on monthly data. STILL UNVERIFIED (as the entry itself flagged): the specific '90% duration interval' figures commonly quoted from this paper are in the paywalled full text. Do not quote them.
Where Nathan extends itThis is the mechanism under the clause: a launch burst decays in months, which is why a single launch push produces a Spike and not a Ramp. Nathan's addition is that the consumable (Law 10 — blades, rulers, software) is the carryover mechanism; the attach product keeps the customer in contact with the brand between advertising flights. 'The attach rate is your adstock' is his, not the literature's.
The Product Life Cycle (PLC) and 'life extension' strategyPartially confirmed
Theodore Levitt, "Exploit the Product Life Cycle," Harvard Business Review, November–December 1965 — Theodore Levitt, 1965
AUTHOR, DATE AND CORE ARGUMENT VERIFIED; PRESCRIPTIVE DETAIL STILL UNVERIFIED. Confirmed on hbr.org that Levitt's actual argument is about non-use, with both quotes exact: "Yet a recent survey I took of such executives found none who used the concept in any strategic way whatever, and pitifully few who used it in any kind of tactical way," and the PLC has remained "a remarkably durable but almost totally unemployed and seemingly unemployable piece of professional baggage." NOT VERIFIED AT SOURCE: the four-stage taxonomy, the four life-extension moves (new users, new uses, more frequent use, product variation), and the claim that Levitt says extension must be planned BEFORE launch — all behind the HBR paywall and reported from secondary knowledge. Also unverified: the '43(5), 81–94' page cite. Cite Levitt only for the non-use argument and the two quotes above unless the full text is obtained.
Where Nathan extends itLevitt named the shape; Nathan names the cause. The PLC has been criticized for decades precisely because it is descriptive — it says decay happens, not why or when. Nathan's version is causal: the spike is what you get when launch spend is not converted into an installed base with an attach product and a ladder above it. Law 15 (announcing V2 kills V1) is a PLC statement Levitt never made — that the decline phase can be CAUSED by the manufacturer's own communication.
The Ansoff Product-Market MatrixConfirmed
H. Igor Ansoff, "Strategies for Diversification," Harvard Business Review, 1957, pp. 113–124 — H. Igor Ansoff, 1957
VERIFIED AT SOURCE, ALL QUOTES EXACT. Author, title, HBR, 1957, pp. 113–124 confirmed from the archived PDF. Market penetration is "an effort to increase company sales without departing from an original product-market strategy"; market development is "a strategy in which the company attempts to adapt its present product line...to new missions"; product development retains the present mission and develops products with new characteristics; diversification is "a simultaneous departure from the present product line and the present market structure." The differentiation of diversification is confirmed verbatim: it "generally requires new skills, new techniques, and new facilities. As a result, it almost invariably leads to physical and organizational changes in the structure of the business which represent a distinct break with past business experience." MINOR: the volume/issue "35(5)" was not visible in the PDF excerpt; pages 113–124 are confirmed.
Where Nathan extends itAnsoff is about strategic risk and organizational capability; he says nothing about demand curve SHAPE. Reading the matrix as four different ramp profiles — top-left ramping fast on low spend because the category exists, bottom-right ramping slowly because you are paying to create the category — is not Ansoff's claim and no paper making it in this form was found. Honest statement: Ansoff supplies the vocabulary and risk logic, Golder & Tellis supply the timing evidence (their six-year takeoff applies specifically to 'really new' durables and would not apply to a line extension), and the synthesis is Nathan's own and unpublished.
The Spike — V2 into existing customers
THE SPIKE — the empirical version: the bigger the spike, the harder the fall
'Slowdown' — the second turning point in the product life cycleConfirmed
Peter N. Golder & Gerard J. Tellis, "Growing, Growing, Gone: Cascades, Diffusion, and Turning Points in the Product Life Cycle," Marketing Science 23(2): 207–218, Spring 2004 — Golder & Tellis, 2004
FULLY VERIFIED, ALL FIGURES EXACT. Marketing Science 23(2): 207–218, Spring 2004; 30 product categories. Confirmed: average growth ~45% per year over ~8 years after takeoff; slowdown involves a ~15% sales decline persisting ~5 years below the previous peak; slowdown occurs at ~34% population penetration, roughly 50% of ultimate penetration; products with "large sales increases at takeoff tend to have larger sales declines at slowdown"; and a hazard model can forecast slowdown as early as the takeoff stage. Two additional confirmed findings worth carrying: leisure-enhancing products show higher growth over shorter growth phases while time-saving products show lower growth over longer ones; and lower slowdown probability associates with steeper price reductions, lower penetration and higher economic growth.
Where Nathan extends itThe strongest quantitative support for The Spike, and it supplies a number the law does not currently carry. Where Nathan extends: Golder and Tellis measure category-level slowdown over decades; he operates on SKU-level spikes over quarters, where the mechanism is channel fill and retailer reorder behavior rather than population penetration. The operator's version also carries a consequence the paper does not — the slowdown lands on financed inventory and a GMROI covenant, so a 15% category decline can be a 100% cash event.
Discipline
Cut for cause
These claims did not survive verification. They are listed so the standard is visible.
- Entry 7 — Ulrich & Pearson, 'Does Product Design Really Determine 80% of Manufacturing Cost?' (first of two identical listings). CUT FOR TWO REASONS. (1) DUPLICATE: it cites the same working paper, same Management Science article, same DSpace URL as entry 11 — the same source is being counted twice in the evidence base, which inflates the apparent breadth of support. (2) THE FINDING IS BACKWARDS. Entry 7 says design-driven variation was ~48-50% versus ~31% for manufacturing system, therefore 'design mattered more, but only slightly.' The paper concludes the opposite, verbatim: 'the variation in manufacturing costs attributable to differences in product design is slightly smaller in magnitude than the variation in costs attributable to differences in manufacturing systems.' The 31% figure holds only under the restrictive two-plant assumption and grows under wider assumptions — which is exactly why the authors conclude design does not dominate. Entry 11 states this correctly and is retained; using entry 7's wording would invert the paper's headline result while citing it as authority.
- NO ENTRY CUT IN FULL. Every one of the 28 primary citations exists, and the authors, years, journals, volumes and page numbers are correct as given. That is an unusual result for an adversarial pass, so the corrections below are sub-claim removals rather than entry removals — each is a specific assertion that failed verification and must be struck or re-sourced before publication.
- CUT SUB-CLAIM (ASQ / Law 7): 'ASQ describes this as the most costly category.' The ASQ Cost of Quality page does not identify any category as most costly. Struck.
- CUT SUB-CLAIM (ASQ / Law 7): the Feigenbaum-1956-HBR and Juran origin attribution is not on the ASQ page. The attribution is accurate as general provenance but cannot be sourced to ASQ. Struck as an ASQ claim.
- CUT SUB-CLAIM (Versioning / Law 12): the Nynex 1986 electronic phone book at $10,000/copy to the FBI and IRS. Full text is paywalled and every open mirror 404'd; the figure could not be verified against the article. Struck pending a retrievable source.
- CUT SUB-CLAIM (Okhrin & Richter / Law 9): the parenthetical side-reference to a related paper titled 'The linear dynamic lot size problem with minimum order quantity.' No such paper was verified. Struck.
- CUT SUB-CLAIM (Bayus / Law 15): 'inventory mismanagement' as a Henry Ford-attributed cause of Osborne's 1983 collapse. The Henry Ford blog cites internal conflict with CEO Robert Jaunich, manufacturing problems, and IBM-compatible competition — not inventory. Corrected.
- CUT SUB-CLAIM (Schmalensee 2015 / Law 10): the quote 'it is never optimal to sell the razor below cost no matter how diverse potential buyers' tastes.' Not found verbatim; the paper's result is conditional on a uniform distribution of parallel linear demand curves, and below-cost razors ARE optimal for some parameter values in the two-type model. Replaced with the abstract's actual wording.
- CUT SUB-CLAIM (Deneckere & McAfee 1996 / Law 12): 'seller and all buyer types better off.' The JEMS abstract says only that damaging goods 'may result in a Pareto improvement.' Softened.
- CORRECTED DATA (Free Trials / Law 13): conversion levels were wrong — the paper's Table 5 test-data rates are 30-day 14.63%, 7-day 15.44%, 14-day 15.11%, not 14.67% / 15.36% / 14.96%. The +5.59% and +3.28% lifts and their significance are correct.
- CORRECTED CITATION (Riordan / Law 2): not a '2008 working paper.' It is a 2008 chapter in Buccirossi (ed.), Handbook of Antitrust Economics, MIT Press, pp. 145-182; the linked PDF is the November 2005 draft.
- RE-SOURCE BEFORE PUBLISHING (Law 2): Amazon referral fees (15% Home & Kitchen / Sports & Outdoors / Toys & Games / Tools & Home Improvement, 8% consumer electronics) match 2026 third-party rate guides but were not verified against Amazon's own published fee schedule.
- STANDING FLAG UPHELD (Law 6): Monteverde & Teece 1982 exists exactly as cited (JLE 25(2):321-328) but its abstract is unretrievable and full text paywalled. The 'buyer owns the specialized tooling' characterization is still inference from the title. Cite the title, not the mechanism.
- STANDING FLAG UPHELD (Law 7): the 1-10-100 rule has no verifiable primary source or original dataset; the Labovitz/Chang/Rosansky (1992) attribution remains unverified. Do not cite the 10x multiple as research.
- STANDING FLAG UPHELD (Law 2): 10X ceiling and 3X floor appear nowhere in the literature. Present as Grace Company operating experience only.
- STANDING FLAG UPHELD (Law 9): Beck & Demirguc-Kunt (2006, JBF 30(11):2931-2943) verified by citation metadata only, not full text.
What this is for
Opinion vs. position
"Here is my framework" is an opinion. "Here is my framework, here are the 55 verified sources that independently arrived at the same laws, and here are the twenty years of operating record where I ran it" is a position. The gap column is what a client is actually paying for.
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