Theories in sociocybernetics usually have a high degree of complexity, which may lead to methodological problems when these theories are tested in confrontation with “real world data”. From a review of the literature it appears that only a small percentage of the sociocyberneticians make an attempt to test their theory empirically. Two alternative approaches are used: the deduction from the theory of a series of univariate and bivariate hypotheses, subsequently tested with the usual statistical methods; and the reformulation of the theory into a simulation model and comparing the trajectories generated by the computer with time series of “real world data”;. Both approaches have their advantages and risks. It is shown in a simulation experiment that the inclusion of various sociocybernetical ideas (self‐referencing, goal‐referencing, morphogenesis) leads to a model with many degrees of freedom, and consequently of a large “no man’s land” in between the set of “verifiers” and the set of “falsifiers” of the theory.
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