Self-referential double vortex torus. The variations in the quality, quantity, and overall skill of linguistic lexicons can significantly impact the interpretation of data and the construction of logical model structures. A lower-quality lexicon, with limited depth and accuracy, can result in misunderstandings and misinterpretations of data, potentially leading to flawed analyses. Similarly, a smaller lexicon may hinder understanding complex concepts and nuances within the data. Moreover, overall skill in utilizing the lexicon, including language features such as syntax and idiomatic usage, is crucial for constructing cohesive model structures based on logical reasoning. Inadequate skill in these areas can lead to faulty deductions and disjointed arguments within the models. Therefore, enhancing linguistic proficiency, expanding the lexicon, and developing overall skills are vital for accurate data interpretation and constructing coherent and logical model structures.