Scientists Challenge a 70-Year-Old Theory of Language With a Surprising Discovery

A study by researchers at the University of Vermont challenges a long-held theory in psychology and linguistics, proposing that word meanings are not primarily organized around emotion but instead reflect deeper patterns tied to safety. Published in *Science Advances*, the research introduces *ousiometrics*, a quantitative method that identifies three core dimensions of meaning: power (weak vs. powerful), danger (safe vs. dangerous), and structure (ordered vs. chaotic). This framework outperforms the traditional VAD model, which relies on valence, arousal, and dominance, explaining over 90% of meaning variation compared to the older model’s 72%. The team analyzed billions of word uses across books, news, social media, and spoken language, revealing a consistent bias toward safety. Their findings suggest the Pollyanna principle—a tendency for language to skew positive—is actually a reflection of this safety bias rather than mere emotional positivity. The study also developed an *ousiometer*, a tool for measuring meaning in large texts, which demonstrated how language shifts across these dimensions in works like *Les Misérables*. Funded by the U.S. National Science Foundation, Google, and MassMutual, the research argues that language may have evolved to prioritize survival, helping humans assess risks and coordinate behavior. The implications extend to artificial intelligence and automated systems, where understanding meaning structure is critical for improving communication technologies. The study’s lead author, Peter Dodds, director of UVM’s Complex Systems Institute, emphasized that expressions of safety are fundamental to all language. The findings could reshape fields from psychology to AI, offering a new lens for interpreting how humans communicate and process information.