PHI 1101 Lecture Notes - Lecture 7: Slippery Slope, Hasty Generalization
Chapter 7
Hasty generalization - generalizing from too few cases or from samples that are too small !
Generalizing from exceptional cases - generalizing from cases that are exceptional or from
samples that are biased (skewed)!
Accident - applying a general statement to an exceptional case !
Weak analogy - offering an argument based on debatable similarities between two or more
things !
Fallacious appeal to authority - attempting to support a claim by citing a source that is not
really an authority !
Fallacious appeal to popularity - treating an issue that cannot be settled by public opinion as if
it could !
Post hoc, ergo propter hoc - thinking that a temporal succession between two variables, in and
of itself, establishes a cause-and-effect connection between them !
Cum hoc, ergo, propter hoc - thinking that simultaneity between two variables, in and of itself,
establishes a cause-and-effect connection between them !
Slippery slope - offering an argument resting on an unsupported warning that something will
progress by degrees to an undesirable outcome !
Untestable explanation - an argument based on an untestable explanation !
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Hasty generalization - generalizing from too few cases or from samples that are too small. Generalizing from exceptional cases - generalizing from cases that are exceptional or from samples that are biased (skewed) Accident - applying a general statement to an exceptional case. Weak analogy - o ering an argument based on debatable similarities between two or more things. Fallacious appeal to authority - attempting to support a claim by citing a source that is not really an authority. Fallacious appeal to popularity - treating an issue that cannot be settled by public opinion as if it could. Post hoc, ergo propter hoc - thinking that a temporal succession between two variables, in and of itself, establishes a cause-and-e ect connection between them. Cum hoc, ergo, propter hoc - thinking that simultaneity between two variables, in and of itself, establishes a cause-and-e ect connection between them.