This publication presents a single conceptual illustration demonstrating the Law of Non-Coercive Alignment (LNCA), a foundational interpretive principle within the Cosmic Algorithm Theory-12 (CAT-12) framework. CAT-12 is a cross-domain theoretical framework developed to study how physical, chemical, biological, and cosmological systems persist, evolve, and remain interpretable under finite precision, bounded observability, and phase-constrained dynamics. Rather than proposing new force laws, CAT-12 identifies structural constraints that govern which descriptions, inferences, and representations remain physically meaningful across scales. Within this framework, LNCA emerges as a constraint on scientific inference itself. The law states that interpretations must not be forcibly aligned to preferred narratives, assumptions, or comforts when the underlying system does not structurally support such alignment. Coercion may take the form of exaggeration, minimization, denial, or over-modeling, and can arise even in the presence of technical expertise. The illustration depicts a scientist explaining a clearly observable and potentially catastrophic signal through a technically plausible but structurally dishonest reinterpretation. The visual scenario is intentionally exaggerated to expose a common failure mode across scientific domains: the tendency to preserve assumptions or institutional stability by reshaping interpretation rather than confronting the implications supported by the data. Importantly, LNCA does not prescribe which interpretation is correct. Instead, it forbids forcing interpretation beyond what the system’s retained precision, phase structure, and observability can justify. The law applies symmetrically to overstatement and understatement, panic and denial, speculation and suppression. While presented in the form of a single-panel illustration, this work functions as a visual thought experiment. It distills a core CAT-12 principle into an immediately recognizable scenario, allowing viewers to intuitively grasp how interpretive coercion can arise not from ignorance, but from discomfort, responsibility, or fear of consequence. This illustration is intended as an accessible conceptual entry point into CAT-12 and LNCA, complementing formal mathematical and domain-specific treatments by highlighting the human and structural dynamics of inference itself.