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Ethics

Artometrics publishes data-driven reports on culture, place, history, persona, and power. Our standard is simple: a reader should be able to understand the claim, inspect the source path, and see the limits of the evidence without needing to trust the brand on faith.

Editorial independence

Artometrics reports are selected and edited for public value, not sponsor preference. We do not sell favorable coverage, paid conclusions, or hidden endorsements. If a future partnership, sponsorship, or affiliate relationship touches a report, it must be disclosed where a reader can see it.

Sourcing standards

Reports should distinguish four kinds of evidence:

  • Observed data: values taken from public datasets, official APIs, agency tables, or documented reference databases.
  • Derived metrics: ratios, ranks, medians, shares, concentrations, and indexes calculated from observed data.
  • Editorial indices: interpretive frameworks used when no single official measure exists. These are not official statistics and should be labeled as interpretation.
  • Context literature: peer-reviewed papers, agency documentation, official data dictionaries, and credible reference publications that help explain what the data can and cannot prove.

Every report should cite its primary source, disclose important cleaning choices, and state limitations that materially affect interpretation. The shared methodology and source library explains the standards used across the site.

Chart and analysis standards

Charts should make one useful claim, not merely display a column name. They should include source credit, accessible hover or fallback context, and enough surrounding prose for a curious non-expert to learn without being talked down to. When a chart is exploratory, partial, or framework-based, the report should say so plainly.

We avoid overstating precision. A clean visual does not make a weak source stronger. When data is incomplete, non-representative, licensed for limited use, or based on an editorial index, that limitation belongs in the report.

AI assistance

Artometrics may use AI tools for drafting support, code assistance, chart iteration, source organization, and editorial QA. AI assistance does not replace source review. Reports that use AI-supported framing or analysis remain subject to the same standard: cited data, disclosed assumptions, and human review of claims before publication.

Corrections and updates

If an error affects a chart, number, source, caption, or conclusion, we will correct it and update the report where practical. Material revisions should be visible in the report body, editor’s note, or changelog-style context so readers understand what changed.

Conflicts and outside material

We do not plagiarize outside work. When reports are inspired by public scholarship, agency documentation, journalism, or database projects, they should cite and link the relevant material. External links are provided for verification and reader context; linking does not imply endorsement by the source organization.

Feedback

Questions about sources, corrections, or methodology can be sent through the contact page. The goal is not to appear certain; it is to make the reasoning inspectable.