This podcast explores the concept of food as information, arguing that our bodies function as predictive systems that rely on consistent dietary signals to maintain metabolic stability.

Using a computer processor analogy, the author explains how ultraprocessed foods create ”informational noise” by delivering mismatched or exaggerated sensory and metabolic cues. While the body can handle occasional inconsistencies, persistent prediction errors eventually overload regulatory mechanisms, including the gut microbiome and hormonal pathways.

This gradual systemic drift away from balance is proposed as the underlying driver of chronic metabolic diseases like obesity and diabetes. Ultimately, health may depend on the informational coherence of our diet rather than just isolated nutrients or calories.