„Triple Interaction. For statistics learners“ is situated on the border of statistics and philosophy. The topics are statistical, but the main questions are not what and how, but why. The basic terms and principles of statistics are reflected through topics of cognitive science and through our knowledge about the structure of the human cognitive system. Starting with the concept of mean, the question arises: „If we get that the average annual grade of one student is 5.23, then what is the measured essence, whose quantitative value is 5.23?“ The meaning of the concepts variance, correlation, and interaction is analyzed in the following chapters. The logic of statistical testing of hypotheses is on the focus of the second part of the book. In particular, the methods t-test, analysis of variance, regression analysis, and some non-parametric tests are considered. The last, third part, approaches the horizon of the possibilities of statistics. Its limitations (both theoretical and practical) are argued, some criticisms and contemporary dilemmas are mentioned. The chapters in this section discuss, respectively, errors in the practical statistical testing of hypotheses, Bayesian view, hardcore computational models for machine learning, and supercomplexity.