Goblin House
Claim investigated: The SEC filings and FEC donations may represent multiple different individuals named Michael Flynn rather than a single person, requiring further verification to distinguish between them Entity: Michael Flynn Original confidence: inferential Result: STRENGTHENED → SECONDARY
The inference is strongly supported by established facts showing definitively distinct individuals: Michael J. Flynn (union director, Owings MD) and Michael E. Flynn (AT&T executive, Dublin CA) with different employers, occupations, and geographic locations. The SEC filings lacking proper accession numbers suggest data aggregation issues that could conflate multiple Michael Flynns. However, the claim requires verification of whether ANY of these financial records connect to former NSA Michael T. Flynn.
Reasoning: Multiple PRIMARY-confidence FEC records with specific employer/occupation/location data definitively establish at least two distinct Michael Flynn individuals. Geographic separation (Maryland vs California), different industries (union vs telecom), and distinct contribution patterns provide strong evidence of multiple people. The absence of accession numbers in SEC filings indicates potential data quality issues that could further conflate individuals.
SEC EDGAR: Form 4 filings for 'Michael Flynn' with proper CIK numbers and accession numbers 2004-2023
Would provide definitive corporate insider identities and distinguish between different Michael Flynn SEC filers
FEC: 'Michael T. Flynn' OR 'Michael Thomas Flynn' contribution records 2015-2024
Would confirm whether former NSA appears in contribution databases under full legal name
SEC EDGAR: CIK lookup for Michael Flynn filings to verify individual vs aggregated records
Would confirm whether SEC filings represent single person or multiple individuals
FEC: Occupation field search for 'military' OR 'army' OR 'general' for Michael Flynn contributors
Would identify any military-background Michael Flynn contributors potentially connected to former NSA
SIGNIFICANT — This finding has broader implications for investigative methodology, revealing how common names create false associations in financial databases that could mislead public accountability research. It also highlights data quality issues in SEC records that affect reliability of corporate disclosure tracking.