Perhaps one of the most common logical fallacies that is exhibited is with regards to the inherent belief that correlation is somehow linked to causality. Merely because two distinct sets of variables are somewhat comparable does not have an impact with regards to the fact that…
Whereas it is oftentimes true that a certain level of correlation relates to a similar cause, the assumption that these two are mutually exclusive is oftentimes what leads individuals down the primrose path of expectation.
For instance, the medical researcher must be keenly aware of the fact that a correlated trend between two or more groups is not significant enough to assume that a similar causation is responsible for their occurrence. Many scholars point to the fact that as drugs are tested on humans or animals, scholars oftentimes take note of unique similarities between the test groups. Oftentimes, a preliminary representation of these findings lends one to believe that joint causation must be exhibited. However, such an assumption is more often than not incorrect and should instead cause the researcher/healthcare professional to review the data and perform further tests prior to jumping to conclusions. Ultimately, the scientific method is predicated upon the ability of the researcher to test and prove that the findings are accurate, correct, and repeatable (Lee, 2012).
An individual that works in a chicken processing plant may notice that ambient room temperature has an impact upon the overall shelf life of the chicken that is stored within the warehouse. In such a way, ambient temperature as an impact upon shelf life that shelf life does not have an impact upon ambient and stop in such a way that, the relationship is causal. By means of comparison and contrast, the relationship could be with respect to the overall exhibition of violence within a particular region as compared to the overall number of cell phone towers is not (Gelder, 2013). Whereas it may be true that a decreased number of cell phone towers are exhibited within areas that are less violent than others, the correlation does not equate to a causation of the actual reasons for this violence.
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