The Scale of the Problem
A 2024 audit of 200 corporate quarterly reports found that nearly one in three contained at least one statistical claim that could not be traced to a primary source. The figure rises to 47% when AI-drafted content is included.
Why It Happens
Most organisations lack a formal claim verification step in their publishing workflow. Analysts pull statistics from secondary sources, industry roundups, competitor reports, consultant decks, without checking the original study, methodology, or date.
What Gets Missed
The most commonly unverified claim types are:
- Market size projections (often cited 3 to 5 years after the original forecast)
- Conversion rate benchmarks (vary by geography and sector)
- Productivity improvement claims from software vendors
- Cost reduction percentages attributed to AI
A Practical Verification Step
Before any claim appears in a published document, assign it a provenance tag: primary source, secondary source, or internal estimate. Claims tagged secondary or internal should require a brief evidence review before sign-off.
This single step, applied consistently, reduces unverifiable claims by over 60% in most organisations that adopt it.