Research standards
These standards apply to reviewed Grizzly Bulls Research publications. They complement the source-specific rules we use when verifying individual stock, ownership, market, and wealth facts.
Named researcher
Lee Bailey — Founder and primary researcher, Grizzly Bulls.
Software engineer, market researcher, author, and founder of Grizzly Bulls.
Researcher profile →Corrections and press
Questions about methodology, corrections, data reuse, or a reporting deadline go through the public Grizzly Bulls contact form. Please include the study, claim, date, or source you are asking about so we can review it quickly.
Contact Grizzly Bulls research →Sitewide trust and financial boundaries
These research standards sit inside the broader Grizzly Bulls trust framework, including how we describe our products, separate research from commercial goals, and explain the limits of financial information.
Evidence comes before presentation
A polished chart or canonical URL does not make a claim true. Each published finding must trace back to evidence that is appropriate for the specific financial question being answered.
- Identify the primary sources that can actually support the claim.
- Preserve the relevant observation dates, definitions, units, and calculation method.
- Review identity, scope, freshness, and known gaps before publishing a conclusion.
- Publish the finding with enough methodology, limitations, and reusable data for a reader to verify what we did.
Missing evidence, unresolved identity, stale valuation, or incomplete source coverage stays visible as uncertainty. A publication goal never turns an unresolved question into a supported fact.
Dates and versions
Research pages deliberately separate four concepts that are often collapsed into a single “updated” timestamp.
Published
First public release of the study. Set once when the reviewed research first becomes public.
Updated
Meaningful reviewed change to the public page, methodology explanation, correction, or presentation. A routine site build or deploy never changes it.
Data snapshot
The observation date or window represented by the measurement. Only new source evidence or a newly reviewed analysis changes it.
Version
The public research edition for findings and methodology. Increment it when published findings, methodology, or the research dataset materially changes.
A presentation-only update can change the public updated date while preserving the same data snapshot and research version. Later measurements should normally keep the stable canonical study URL while date-stamped downloads preserve the measurement they contain.
Methodology and limitations
Every flagship should expose
- the research question and reviewed universe;
- the data snapshot or observation window;
- the source families and how the calculation or classification was performed;
- important unsupported inferences and known coverage gaps;
- a stable path to the underlying public aggregate data when redistribution is allowed.
Every flagship must avoid
- implying that a dated snapshot is live/current data;
- turning “not found” into a verified negative claim;
- claiming completeness beyond the measured source families;
- redistributing raw provider/source records without separate permission;
- letting search, press, or promotional goals change the factual standard.
Citation and reuse
- You do not need permission to cite a public Grizzly Bulls research page or factual finding.
- When citing a measured statistic, include the data snapshot date and material limitation if it changes how the number should be interpreted.
- Public aggregate CSV/JSON files are covered by the Grizzly Bulls Data License and may be used for verification, analysis, and new charts with attribution to Grizzly Bulls and the canonical study.
- If reproducing a Grizzly Bulls chart image, identify Grizzly Bulls as the source and do not imply endorsement or partnership.
- Public reuse permission does not extend to third-party source records, site branding, subscription content, or unrelated copyrighted page content.
A backlink is appreciated when it helps readers verify the source, but Grizzly Bulls does not make a ranking link a condition of factual citation or aggregate-data reuse.
Corrections and update record
If a published finding changes, the page should state the new data snapshot/version and preserve enough context for a prior citation to remain interpretable. Routine build timestamps are never presented as research updates.