This paper argues that the Pet-Tech industry's systematic misinterpretation of missing behavioral data as noise — rather than clinical signal — produces a fundamental failure in canine health intelligence. Drawing on MEMS engineering principles, clinical informatics, and the Belmont Report's ethical framework, it introduces a three-category taxonomy of data missingness (Artefactual, Systemic, and Informative Absence) and proposes Vision AI as the Ground-Truth Bridge that transforms sensor silence into positive diagnostic signal. The paper demonstrates that standard imputation techniques — including the application of LLMs to sensor gaps — are equivalent to amplifying electronic noise and treating it as behavioral signal. The 'Sovereignty of Silence' principle establishes the ethical and technical commitment to treat each dog's quietest moments as clinically meaningful data rather than statistical voids. Barkley White Paper | Precision Behavioral Intelligence Series | No. 04.
Elodie P. Remoissenet (Thu,) studied this question.