Editorial Standards

Last reviewed: September 16, 2026

These standards govern everything we publish: datasets, data notes, and research articles. They exist so that readers can hold us to a stated bar.

Sourcing: facts must trace to Tier A sources

Every factual claim about numbering resources — assignments, allocations, dates, statuses, forecasts — must be traceable to a Tier A source: an official publication of a numbering administrator or regulator. Our Tier A sources are listed on the Data Sources page and include NANPA publications, CNAC publications, and FCC reports.

Analysis is labeled as analysis

When we go beyond restating source data — for example, computing trends, comparing jurisdictions, or interpreting a planning letter — we say so, and we describe the computation or reasoning. Readers should never have to guess whether a statement is a sourced fact or our interpretation. Our computation rules are documented in the Methodology.

Corrections

We commit to correcting errors promptly and visibly. When an error is confirmed, we fix the page, note the correction on it, and record it in a public corrections log. The full process, including how to report an error and our response timelines, is in the Corrections Policy.

Attribution and review

Published research on this site carries the byline: Prepared by the NumberResearch.org Data Desk, reviewed and approved by the Publisher.

The Data Desk is our editorial function: it prepares datasets and drafts research using the pipeline described in our Methodology and AI & Automation Policy. Material changes and research conclusions are reviewed before publication; nothing is published as a research conclusion without human review and the Publisher's approval.

Funding and conclusions

This site is operated and funded by GreatNumber LLC, as disclosed on the Ownership & Funding page. That funding does not change the sourcing bar: a claim either traces to a Tier A source or it is labeled as analysis, in every case. We do not publish paid conclusions.

Reporting a standards concern

If you believe something we published falls short of these standards, write to research@numberresearch.org. Standards complaints are handled through the same process as corrections.