False precision
Presenting an estimate with more apparent exactness (an unhedged, decimal-specific figure) than the underlying evidence actually supports, which invites scrutiny the number cannot survive and damages the credibility of the entire memo.
Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Data Governance Professional (CADGP).
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
Presenting an estimate with more apparent exactness (an unhedged, decimal-specific figure) than the underlying evidence actually supports, which invites scrutiny the number cannot survive and damages the credibility of the entire memo.
Citing a specific number or benchmark score without being able to explain where it came from or what it actually measures, treated by this topic as more damaging to credibility than citing no number at all.
Presenting an estimate as a single confident point figure when the underlying method cannot actually support that level of certainty; the single most common target of a hostile economic review.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- The cost of bad data: pricing last quarter's silent drift in real money · The Money of Data, Certified AI Data Governance Professional (CADGP)
- The Economic Impact Report with Numbers That Survive Scrutiny · AI Economics and Impact Modeling, The AI Lobbyist: Certified AI Policy Strategist
- Holding the Room with Engineers: The Technical Credibility Defense · Technical Credibility Deep Dive, The AI Lobbyist: Certified AI Policy Strategist
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.