Classical statistical thinking emphasizes the important role of variables, of its methods and models, while modern statistical reflection permanently enriches them with the help of the paradigm of variation, fuzzy thinking and iterative cycles thinking too. Any type of human thinking is subordinated to a certain way of scientific thinking, which motivates the fact that a statistician concealed most of his achievements in scientific research, academic teaching and applied activity under the cloak of modern statistical thinking, to keep alive the spirit of the scientific narrative. The current missed pillar of your statistical thinking is the trans-, inter-, cross- and multidisciplinarity in the variables, methods and models and the modern statistical thinking becomes a fluent and relevant scientific context, which underlines the originality of statistical thinking contributions and the statisticians passion for the sheer, splendid beauty of statistical thinking, which becomes the main cause of their training and forming, initially practitioners and researchers, then theorists and teachers. To underline the necessity of the VIII th pillar, I believe the modern statistics becomes already a trans-, inter-, cross- and multidisciplinary way of thinking, under the various influences of the variation paradigm, the nuanced thought impacted by fuzzy or neutrosophic logic, under the auspices of the thinking cycles, as an ensemble of its reflection, to the conceptualization of modern science, in the multiverse of contemporary sciences and scientific research... From the distinct role of historical, regionalised and structural variables in statistical thinking, to the “epsilon” variable, typical of trans-, inter- and multi-disciplinarity, or to statistical methods and methodologies in trans-, inter- cross- and multidisciplinarity,the originality of statistical thinking is and will remain reflected in its methods, and methodologies, as well as the complexity, iteration and cyclicality of modelling statistical thinking, in order to describe, in the end, the new areas of original application of statistical thinking in trans-, inter-, cross- and multidisciplinarity.