About Capital Casebook & our editorial method
Who publishes this library?
Capital Casebook publishes an independent learning library for English and Hong Kong Traditional Chinese readers studying financial judgement, business incentives and decisions under uncertainty. The publisher name is a site identity, not a claim of professional accreditation. We do not list invented authors, qualifications, investment results or endorsements. The authors of the books are sources, not authors of our commentary.
How the material is made
AI assists with drafting original explanations, translations, learning exercises, website code and conceptual illustrations. Lessons connect selected book ideas with documented later cases and clearly labelled hypothetical arithmetic. Automated checks cover routes, assets, language editions, reading estimates and source-link presence; browser checks exercise representative interactions. These checks do not independently verify every historical claim or certify professional financial expertise. No named independent expert review is claimed.
How to read the evidence
Separate four things: what a book reports, what a later source documents, our interpretation, and an invented practice example. Follow citations beside a case to inspect its evidence and limits. A retrospective account can explain a decision without establishing audited returns or proving a strategy works today. Reused cases are intentional comparisons; their facts can stay the same while the lesson question changes. Sangdo is historical fiction, so scenes illustrate the novel rather than prove historical events.
Why the library exists
The goal is to help readers explain a mechanism, question an assumption and identify evidence that would change a decision. Ten-minute study sessions are a learning preference, not an SEO target or a promise about every reader’s speed. We do not add text simply to reach a search-ranking word count. Exercises, notes and related links are additional activities.
Accuracy, limitations and corrections
Read the original source before relying on a material claim. Financial evidence can be incomplete, dated or disputed. Historical outcomes do not guarantee future returns, and learning models omit real-world costs and constraints unless stated. Technical validation is not factual certification. Corrections should identify the collection, lesson, disputed sentence and supporting source; substantive revisions should explain the correction rather than merely change a date. This page describes our process, not a Google ranking certification.
Your privacy and independence
Notes and progress stay in browser storage and are not encrypted. No account, analytics or advertising tracker is built into this release. Cloudflare may process delivery and security logs. Conceptual artwork is AI-generated and is not documentary evidence. The site is independent of the authors and publishers and does not provide personalised buy, sell or hold recommendations.