Hasty Generalization Examples

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A hasty generalization is a fallacy that uses too few examples to come to a general conclusion (Lumsden, Lumsden, and Wiethoff 149). This is a dangerous fallacy that everyone is at risk for using and hearing; however, there are certain steps to prevent the hasty generalization and encourage active listening for fallacious arguments. To fully understand this fallacy, it is important to know a couple specific examples, understand active listening, and different prevention strategies.
Everyone is at risk for using hasty generalizations, even those who debate for a living. When former presidential candidate Herman Cain was asked about his view on Muslims, he explained that there are both peaceful and extremist Muslims (Friedersdorf). He went on
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One can provide general explanation for the above conclusion but it won’t be enough. In the above claim, meteorologist is judged not based on his whole career but just for one month. It is extremely important to analyze the whole situation before coming to the conclusion. Coming to stubborn conclusion just from one month’s evidence is hasty. Thus the name of the fallacy is, hasty generalization.
In order to make a definite conclusion, we need to gather information from different months as temperature changes in every month. These varied samples will help us to analyze Mark’s performance over the course of his career and will help us generate more reliable conclusion. Mark’s prediction may be wrong for one month, but it is not fair to draw definite conclusion based on his prediction for just one month.
One can prevent hasty generalization in the above claim by comparing other meteorologist’s prediction. Coming to a conclusion based on man’s conclusion is not right. It is important to have large enough sample size when making a generalization. Thus gather much needed information before making a claim. Know what to believe and disbelieve in order to make a

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