When cemetery records show someone buried in 1820 but a census shows them alive in 1830, or a child's birth date makes them older than their parents, you have a conflict that needs resolving through careful examination of dates, record types, and possibility of error. Systematically weighing which records are primary sources, which are second-hand, and what circumstances could explain apparent impossibilities keeps you from building family trees on bad data.
Chronological conflict resolution is the process of identifying and reconciling dates in a family tree that are logically impossible or statistically improbable, such as a mother recorded as giving birth at age six or a death date predating a marriage date. These conflicts often signal merged profiles, transcription errors, or conflated identities between two people of the same name.
AI flags these inconsistencies automatically by applying age-range plausibility rules and event-sequence logic across all records attached to a profile, then suggests which source is most likely in error based on record reliability rankings. Resolving these conflicts before publishing or submitting a proof summary protects research integrity and prevents cascading errors across connected family lines.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
Explore related journeys or tell Peri what you're working through.