When Simple Interpretations Create Complex Problems
Observational and experimental studies can often abstract complex systems in order to understand the effects of changing discrete elements of that process. Underappreciating that societies form a complex adaptive system can result in wrong answers to arguably our most important research questions, which would mean those related to population health. In this chapter there is an in-depth discussion of several examples of when simple interpretations have created complex problems in science. In particular, the chapter thoroughly explores current reproducibility problems in science to illustrate how the failure to acknowledge complexity can create inferential errors, and specifically does so within public health.
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