Editorial Standards: No Fake Stats, Quotes, or Case Studies
AI topics attract recycled numbers and confident guesses. These are the rules we hold every article to.
Our rules
- No invented facts. Statistics, studies, quotes, and examples must come from a source we can name. If evidence does not exist, we say so.
- Primary sources first. We check figures against the original report or page, not an aggregator. Numbers that trace back to vendor marketing are flagged as such.
- Real or labeled cases. Case studies are real and sourced, or clearly labeled as composites.
- Prompts are starting points. Output varies by tool, model, and version, and we never promise a specific result.
- Legal and ethical topics are information, not advice. That includes copyright and AI-generated content.
Confidence labels
Major articles label their main claims so you can judge how far to trust them.
| Label | What it means |
|---|---|
| Established | Supported by primary sources or broad expert consensus. |
| Probable | Supported by credible evidence that is incomplete or secondhand. |
| Speculative | An informed projection or early evidence that may not hold up. |
| Framework | Our own way of organizing ideas. It is a model, not a measured fact. |
AI-assisted writing, human editorial control
AI tools help with drafting and research. Editors choose topics, check sources, remove anything unverifiable, and decide what is published. More in our disclosure and on the authors page.
Corrections and update ledgers
When we find an error, we fix it and record the change in a visible update ledger on the article. To report one, use the contact page.
Update ledger for this page
| Date | Change |
|---|---|
| October 5, 2026 | Page published. |