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Sweeping Generalization
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Logical Fallacy of Dicto Simpliciter / Sweeping GeneralizationThe logical fallacy of sweeping generalization is one of the many smokescreens that are used to cover the fact that the reasoning is based on one of the three fallacies of Agrippa's trilemma. Whenever a logical fallacy is committed, the fallacy has its roots in Agrippa's trilemma. All human thought (without Divine revelation) is based on one of three unhappy possibilities. These three possibilities are infinite regress, circular reasoning, or axiomatic thinking. This problem is known as Agrippa's trilemma. Some have claimed that only logic and math can be known without Divine revelation; however, that is not true. There is no reason to trust either logic or math without Divine revelation. Science is also limited to the pragmatic because of the weakness on human reasoning, which is known as Agrippa's trilemma. The Logical Fallacy of Dicto Simpliciter / Sweeping Generalization occurs when a statistical syllogism ignores or eliminates an exception that affects the conclusion. These are similar to an a dicto simpliciter ad dictum secundum quid ( also known as accident fallacy, destroying the exception) fallacies in that a rule of thumb, a general rule, is treated as if there are no exceptions. Hasty generalization can be a case of insufficient statistics. Examples of the Logical Fallacy of Dicto Simpliciter / Sweeping Generalization
Sandra's statement is too broad. Of course, there are scientists who are Atheists, and there are scientists who are closed-minded Atheists. There are also scientists who are Bible-believing Christians. Some scientists are willing to do research in areas that are in conflict with their own worldviews even though their worldviews seem like reality itself.
How can we know anything about anything? That’s the real question |
Other Pages in this sectionMisused Statistics Innumeracy Clustering Illusion Bad Statistical Data Biased Statistical Method Biased Calculation Biased Conclusion from Statistics Biased Reporting of Statistics Loaded Statistics Generalizing from a Hypostatization Error in Sampling Avoiding Specific Numbers False Precision Self-Selected Biased Sample Statistical Apples and Oranges Ludic Fallacy Fishing for Data Base Rate Neglect Isolated Examples Hasty Generalization Small Sample Size Bias General Rule Fallacy Specificity Overwhelming Exception Stereotyping Gambler\'s Fallacy Appeal to Possibility Appeal to Infinite Possibilities Texas Sharpshooter Fallacy Misuse of Averages Recently Viewed |
