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Other idioms for the slippery slope fallacy are the thin edge of the wedge, domino fallacy (as a form of domino effect argument) or dam burst, and various other terms that are sometimes considered distinct argument types or reasoning flaws, such as the camel's nose in the tent, parade of horribles, boiling frog, and snowball effect.
The phrase parade of horribles originally referred to a literal parade of people wearing comic and grotesque costumes, rather like the Philadelphia Mummers Parade.It was a traditional feature of Fourth of July parades in parts of the United States in the 19th century, and "Horribles Parades" continue to be part of the Independence Day celebration in several New England in communities like ...
Slippery slope arguments may be defeated by asking critical questions or giving counterarguments. [32] There are several reasons for a slippery slope to be fallacious: for example, the argument is going too far into the future, it is a too complex argument whose structure is hard to identify, or the argument makes emotional appeals. [33]
Ilya Stallone takes the quirky charm of medieval art and mashes it up with the chaos of modern life, creating comics that feel both hilarious and oddly timeless. Using a style straight out of ...
Image credits: drawerofdrawings Lastly, D.C. Stuelpner shared with us the most rewarding aspects of being a comic artist: “A lot of my work-for-hire art jobs never see the light of day.
The following is a list of comic strips. Dates after names indicate the time frames when the strips appeared. Dates after names indicate the time frames when the strips appeared. There is usually a fair degree of accuracy about a start date, but because of rights being transferred or the very gradual loss of appeal of a particular strip, the ...
Naturalistic fallacy fallacy is a type of argument from fallacy. Straw man fallacy – refuting an argument different from the one actually under discussion, while not recognizing or acknowledging the distinction. [110] Texas sharpshooter fallacy – improperly asserting a cause to explain a cluster of data. [111]
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