The publication's correction record for the fabricated 'Stanford DEL 12/88' statistic is complete across the written corpus and public as of 10 Jun 2026: eight claim verdicts changed with dated, append-only correction entries (AM-029 to Not holding; AM-024, AM-031, AM-040, AM-042, AM-129, AM-132 and AM-201 to Partial), the Claim Archive's first retraction (ACA-2026-003), roughly 120 occurrences across 30 published article bodies restated on the verified IDC/Lenovo graduation figure or softened to qualitative language, and the signature article restated at its original URL under new claim AM-213, with no occurrence silently deleted.
Minted 10 Jun 2026 alongside the public forensic correction piece. The claim is about record-completeness, which is why it carries a 30-day first review instead of the usual 90: the early re-check verifies that no uncorrected occurrence of the fabricated figure surfaces in the written corpus and that the correction entries remain append-only. Scope discipline: 'written corpus' means content/posts, content/operators/posts, content/claims, content/pages, content/frameworks, content/bulletins, app routes and public data exports. Three outbound surfaces are explicitly OUTSIDE the claim scope and tracked as open in the article: (1) the published podcast episode (Transistor ID 3232340) whose on-site description and Transistor description still carry the figure pending correction; (2) the live Beehiiv welcome-automation copies (repo copies cleaned 10 Jun 2026, live-side update is an off-repo action); (3) downstream third-party circulation seeded by the sent April 2026 journalist pitch and the episode (citogenesis risk, not correctable by edit). Evidence chain: exposure map docs/editorial/stanford-1288-exposure-map-2026-06-10.md; cascade commit of 10 Jun 2026 (1ae044e, '30 article bodies swept, ~120 occurrences'); AM-029 correction log; ACA-2026-003 change_history; GAUGE changelog v1.0.2. Triggers: (1) any occurrence of the 12/88-as-ROI-distribution figure found uncorrected in the written corpus; (2) any affected correction entry edited rather than appended; (3) the open podcast/Beehiiv surfaces still uncorrected at first review. Siblings: AM-029 (down, the fabricated attribution), AM-213 (the restated figure), AM-024 (citation-chain thesis, partial).
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The claim: The publication's correction record for the fabricated 'Stanford DEL 12/88' statistic is complete across the written corpus and public as of 10 Jun 2026: eight claim verdicts changed with dated, append-only correction entries (AM-029 to Not holding; AM-024, AM-031, AM-040, AM-042, AM-129, AM-132 and AM-201 to Partial), the Claim Archive's first retraction (ACA-2026-003), roughly 120 occurrences across 30 published article bodies restated on the verified IDC/Lenovo graduation figure or softened to qualitative language, and the signature article restated at its original URL under new claim AM-213, with no occurrence silently deleted.
About this register
The Reporting register tracks claims published from articles addressed to senior enterprise IT leaders — CIOs, IT directors, heads of platform. Claims are reviewed on a 30–90 day cadence; each review either reaffirms the claim, marks one substantive part as Partial, or marks it Not holding once the underlying evidence has been overtaken.
Recent corrections in Reporting
- AM-132 · Partial · 10 Jun 2026
One of four legs unanchored on re-review. The claim text attributes '12% of deployments clearing 300%+ ROI with 88% at or below break-even at 12-18 months' to the Stanford DEL 2026 Enterprise AI Playbook. Full-text verification on 10 Jun 2026 found no such figure in that source: the playbook (Pereira, Graylin, Brynjolfsson, Apr 2026) studies 51 successful deployments by design and contains no ROI distribution, no 300%-plus cohort, and no break-even measurement point (full finding at AM-029, correction of 10 Jun 2026). The only verified figure carrying the same 12/88 numerals is IDC research with Lenovo (via CIO.com, Mar 2025): roughly 88% of AI proof-of-concepts never reach production and roughly 12% graduate — a pilot-to-production graduation metric, not an ROI distribution. The Gartner 28%, McKinsey 23%/17%, and MIT NANDA 95% legs verify; they support a small high-performing tail and a large struggling body, but none documents the two-peak bimodal shape the claim asserts. Status Up -> Partial.
- AM-129 · Partial · 10 Jun 2026
One of three read-against anchors unanchored on re-review. The claim text cites 'Stanford Digital Economy Lab Enterprise AI Playbook (12/88 bimodal ROI distribution at 12-18 months)' and frames the realistic ROI band around 'the highest-discipline 12% cohort'. Full-text verification on 10 Jun 2026 found the playbook contains no 12/88 distribution, no bimodal ROI shape, and no 12-18-month ROI measurement point (full finding at AM-029, correction of 10 Jun 2026). The claim's core negative finding — no mid-market enterprise has produced a documented +240% ROI in 90 days under audited conditions — is unaffected; the McKinsey State of AI 2025 and MIT NANDA legs verify and continue to support it. The '12% cohort' framing has no verifiable referent. The only verified figure carrying the 12/88 numerals is IDC's pilot-graduation finding (roughly 88% of AI proof-of-concepts never reach production; via CIO.com, Mar 2025), a different metric. Status Up -> Partial.
- AM-201 · Partial · 10 Jun 2026
One of four named datasets unanchored on review. The claim text names 'Stanford DEL's 12% clearing 300%+ ROI vs 88% at or below break-even' as one of four independent datasets. Full-text verification on 10 Jun 2026 found the Stanford DEL Enterprise AI Playbook contains no such distribution — it studies 51 successful deployments by design and carries no ROI-realisation failure data (full finding at AM-029, correction of 10 Jun 2026). The McKinsey (23% scaling, 17% EBIT-attribution), Gartner (28% fully paying off), and MIT NANDA (95% no measurable P&L impact) datasets verify; the claim's spine stands on three datasets rather than four. The only verified figure carrying the 12/88 numerals is IDC's pilot-graduation finding (roughly 88% of AI proof-of-concepts never reach production; via CIO.com, Mar 2025), a different metric from an ROI distribution. Status Up -> Partial.
Reviews coming up in Reporting
- AM-063 · Holding · next +15d (27 Jun 2026)
AI agents executing financial transactions need a four-control bundle (action-approval gates by blast radius, kill-swit…
- AM-061 · Holding · next +15d (27 Jun 2026)
Production agentic-AI costs at scale routinely run multiples of POC projections, and a layered optimisation programme c…
- AM-003 · Partial · next +15d (27 Jun 2026)
GPT-5 Pro's tiered-subscription model forces enterprises to classify problems by computational difficulty — $200/month…