What is the difference between the post hoc fallacy and the non sequitur fallacy?

The post hoc fallacy and the non sequitur fallacy are sometimes conflated, but they are fundamentally different.

  • Non sequitur is Latin for “does not follow.” A non sequitur is an invalid deductive argument whose conclusion doesn’t follow logically from its premises because of its faulty structure. Any formal fallacy that doesn’t fall into another, more specific category can be called a non sequitur fallacy.
  • Post hoc ergo propter hoc is Latin for “after this, therefore because of this” and refers to an informal fallacy in which causation is assumed based on the chronological order of events. It is also called “post hoc fallacy.”

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What is the difference between post hoc fallacies and hasty generalization fallacies?

Post hoc and hasty generalization fallacies both involve jumping to conclusions, but there is a difference between the two.

The post hoc fallacy could be considered a subcategory of the hasty generalization fallacy that focuses specifically on causation and timing.

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Why is the either-or fallacy an informal logical fallacy?

The either-or fallacy is an informal logical fallacy because it is a content-level error that occurs in inductive arguments. Inductive arguments reason from specific observations to propose general principles. If an inductive argument commits an informal fallacy, it is called “unsound.”

By contrast, formal fallacies are structural errors that occur in formal (or deductive) arguments and make the argument “invalid.”

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What are common types of fallacies in research?

Logical fallacies that are common in research include the following:

  • Hasty generalization: Drawing broad and general conclusions from a small or unrepresentative sample of data
  • Fallacy of composition: Assuming that what is true of the parts must be true of the whole
  • Post hoc fallacy: Inferring that simply because one event followed another, the first event must have caused the second event
  • Ecological fallacy: Forming conclusions about individuals based on group-level data
  • False cause fallacy: Inferring a cause-and-effect relationship between two variables when none exists

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What is an example of ecological fallacy in epidemiology?

The ecological fallacy can occur in the field of epidemiology when individual risk factors or health outcomes are inferred from population-level data. Consider the following example:

  • Population-level data: Research indicates that Japan has one of the lowest rates of heart disease globally. The low incidence of heart disease is commonly attributed to healthy lifestyle choices.
  • Ecological fallacy inference: A graduate student conducts a study on a small group of test subjects from Japan and assumes that each test subject has a very low risk of heart disease.

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