Mariia Yarmolenko. False cause

The fallacy of false cause refers to the wrong presumption that because one event comes before another, the previous one must have caused the latter. This error ignores other elements or explanations that could have impacted the result. It basically confuses correlation with causation, which results in poor reasoning and false conclusions.

An original example of the false cause fallacy can be seen in the belief that playing violent video games causes an increase in aggressive behavior. Suppose a statistical analysis reveals a correlation between the playing of violent video games and the occurrence of violent acts, such as physical confrontations or acts of vandalism. Based only on this correlation, one might falsely conclude that playing violent video games leads to aggressive behavior in teenagers. However, this overlooks the underlying factors, such as individual traits, environmental influences, and socioeconomic factors. Additional factors may be involved since a correlation doesn’t always point to a cause-and-effect relationship.

Similarly, the fallacy of false cause can be seen in the case of British scientist Andrew Wakefield, who made up a connection between autism and the MMR (measles, mumps, and rubella) vaccine. According to Wakefield’s research, children who receive the MMR vaccine may develop autism spectrum disorder. Later searches, however, completely disproved his conclusions and revealed several scientific errors and conflicts of interest. Wakefield’s false cause fallacy, despite a lack of scientific evidence to support it, caused widespread fear and a drop in vaccination rates, which in turn caused an epidemic of dangerous diseases and harm to the public’s health. In both cases, the mistaken cause fallacy highlights the risks of making quick decisions based only on a temporal sequence without considering different hypotheses or strong proof.

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