Rough AI truth score
100/100
The book's three central factual claims are exceptionally well corroborated by regulatory complaints, trial evidence, and convictions: the analyzer was gravely limited, investors were deceived, and patients received unreliable testing.
Based on three central claims · high confidence
The SEC complaint and federal trial record both state that the Edison or miniLab performed few basic tests, had accuracy and reliability problems, and was supplemented by modified third-party analyzers for most patient work.
Government evidence documents false demonstrations, exaggerated revenue forecasts, nonexistent battlefield deployment, and misstatements about analyzer capacity. Holmes and Balwani were separately convicted of investor-fraud offenses after jury trials.
The criminal record states that certain tests were not consistently accurate or reliable and that misrepresentations risked patient health. Regulatory findings and testimony corroborate serious quality failures; individual clinical harms varied by case.
What this number means. It is an AI-generated first-pass judgment of three central factual or causal claims—not a rating, exhaustive fact-check, or human peer review. Claim credits are 100% for supported, 75% for mostly supported, 50% for mixed, and 25% for weak, then averaged and rounded. Lower confidence means the score should move more as better evidence arrives.
Method three-central-claims/0.1.0 · checked 2026-09-01 · 3/3 selected claims assessed · method and source audit