Normalization of deviance
A term from sociologist Diane Vaughan, used in the Columbia Accident Investigation Board's 2003 report, describing how an organization gradually accepts a known deviation from expected performance, such as recurring foam strikes or recurring data discrepancies, until it stops treating the pattern as a warning sign.
Defined in 2 GAGE programs, which carry 8 distinct definitions of it. The wording above is taught in AI Data Governance: The Data Chair.
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.
A term coined by sociologist Diane Vaughan describing how an organization can repeatedly accept a known deviation from a safety standard, because nothing bad happened the previous times, until the deviation becomes the accepted norm rather than a flagged risk. Documented in Vaughan's study of the Space Shuttle Challenger disaster (Vaughan, 1996) and referenced in this topic as a recurring organizational pattern behind safeguard gaps. The same pattern shows up far below the scale of a spacecraft: a team that repeatedly ships with a known test failure waived "just this once," or a workflow that tolerates a data quality shortcut because nothing has broken yet, is normalizing deviance on a smaller, more survivable scale, which is exactly why Section 3I's Habit 3 asks you to practice source-checking on small, low-stakes failures rather than waiting for a dramatic one.
A term from sociologist Diane Vaughan, used in the Columbia Accident Investigation Board's 2003 report, describing how an organization gradually accepts a known deviation from expected performance, such as recurring foam strikes or recurring data discrepancies, until it stops treating the pattern as a warning sign.
A term coined by sociologist Diane Vaughan (1996) describing how an organization can gradually come to accept a known deviation from a safety standard or specification as routine, because earlier instances of the deviation did not produce a visible failure, until the deviation is no longer treated as a risk requiring action.
A pattern, documented in the sociologist Diane Vaughan's analysis of the Space Shuttle Challenger disaster and echoed in the Columbia Accident Investigation Board's 2003 findings, in which a known anomaly that has not yet caused catastrophic failure is gradually reclassified from unexpected and concerning to expected and acceptable, often under schedule or budget pressure, until it is no longer treated as a safety-relevant signal.
A pattern, documented by sociologist Diane Vaughan in her study of the Challenger decision, in which a known deviation from a specification is accepted once, then repeatedly re-accepted by citing its own prior approval rather than new evidence, until the deviation becomes routine and its underlying risk is no longer treated as an open problem requiring resolution.
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 interview sweep: what the humans know about the data that the systems do not · The Estate Survey, AI Data Governance: The Data Chair
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.