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	[[File:Occlusal Centric view in open and cross bite patient.jpg\|350x350px\|~~center~~]]		[[File:Occlusal Centric view in open and cross bite patient.jpg\|350x350px\|left]]


	The introduction of Masticationpedia offers a deep and complex analysis on themes that span the evolution of science, with a particular focus on medicine and dentistry. It begins by examining the epistemological transformation of science through the lens of Kuhn's paradigms, emphasizing the importance of paradigmatic changes that science, including dentistry, has experienced and continues to experience. The document outlines the stages of paradigmatic change proposed by Kuhn, applying them to the field of dentistry, where it highlights a paradigmatic crisis that calls for an evolution towards new paradigms, especially in masticatory rehabilitation. The discussion extends to epistemology, considering how science acquires knowledge and addresses the issue of the verifiability of scientific theories. A critical emphasis is placed on the use and interpretation of the P value in scientific statistics, highlighting the ongoing debate about its reliability as an indicator.		The introduction of Masticationpedia offers a deep and complex analysis on themes that span the evolution of science, with a particular focus on medicine and dentistry. It begins by examining the epistemological transformation of science through the lens of Kuhn's paradigms, emphasizing the importance of paradigmatic changes that science, including dentistry, has experienced and continues to experience. The document outlines the stages of paradigmatic change proposed by Kuhn, applying them to the field of dentistry, where it highlights a paradigmatic crisis that calls for an evolution towards new paradigms, especially in masticatory rehabilitation. The discussion extends to epistemology, considering how science acquires knowledge and addresses the issue of the verifiability of scientific theories. A critical emphasis is placed on the use and interpretation of the P value in scientific statistics, highlighting the ongoing debate about its reliability as an indicator.