Goblin House
Claim investigated: No lobbying disclosures found despite SEC filings indicates either: lobbying occurred below disclosure thresholds, was conducted by entities not required to register, or companies involved did not actively lobby on this specific project Entity: Project Maven Original confidence: inferential Result: STRENGTHENED → SECONDARY
The claim is methodologically sound but incomplete—absence of lobbying disclosures could indicate sub-threshold activity, non-registered entities, or no lobbying, but the analysis overlooks that defense contractors often lobby on broader defense appropriations rather than specific classified programs. The inference fails to account for lobbying on related AI/defense policy that would benefit Maven contractors without explicitly mentioning the program.
Reasoning: The three explanatory mechanisms are logically exhaustive and well-supported by lobbying disclosure requirements under LDA. However, the claim can be strengthened by recognizing that defense contractors typically lobby on broader policy categories that encompass classified programs without naming them explicitly.
LDA: Palantir Technologies lobbying disclosures 2018-2019, search for 'artificial intelligence', 'machine learning', 'defense technology'
Would reveal if Palantir lobbied on AI/ML policy during Maven transition without naming the program specifically
SEC EDGAR: Search all 10-K, 10-Q filings September-December 2019 for 'Project Maven' or 'Maven' in defense/technology company filings
Would identify which specific companies made the SEC disclosures and their disclosed relationship to Maven
LDA: Google LLC lobbying disclosures 2017-2018, search for 'defense', 'artificial intelligence', 'ethics'
Would show if Google lobbied on AI ethics policy during Maven controversy period
USASpending: Other Transaction Authority agreements, DoD, 2018-2019, vendors: Palantir, Google, keywords: artificial intelligence
Would reveal if Maven contracts used OTA mechanisms that bypass traditional procurement lobbying
SIGNIFICANT — This pattern reveals how defense contractors navigate lobbying disclosure requirements for classified programs, using policy-level lobbying to influence program outcomes without triggering specific disclosure requirements. Understanding this mechanism is crucial for tracking private sector influence on sensitive military AI programs.