how it works
transparent methodology. verifiable data. no editorial spin.
01
collect statements
we track every public statement, promise, and prediction from verified sources. timestamped, sourced, and catalogued.
02
verify outcomes
cross-reference with financial filings, production data, and documented results. no interpretation—just measurable facts.
03
detect contradictions
algorithmic analysis finds conflicts between statements, promises vs. outcomes, and timeline divergences.
04
visualize connections
present everything in interactive formats. timelines, relationship graphs, explorable datasets. you draw conclusions.
contradiction detection
critical
directly contradictory
two statements that cannot both be true. example: "we will deliver 500k units" vs. actual delivery of 250k units.
high
timeline failures
promises made with specific timelines that were not met or significantly delayed.
medium
narrative conflicts
statements that tell different stories about the same event or metric across time.
low
minor inconsistencies
small discrepancies that may have reasonable explanations but are worth noting.
data sources
statements: twitter/x, earnings calls, interviews, press releases, regulatory filings
outcomes: sec filings (10-k, 10-q, 8-k), production reports, financial statements
relationships: org charts, investment data, board positions, company ownership
all sources are linked and verifiable. no anonymous sources. no speculation.
outcomes: sec filings (10-k, 10-q, 8-k), production reports, financial statements
relationships: org charts, investment data, board positions, company ownership
all sources are linked and verifiable. no anonymous sources. no speculation.