Fallacy of Gray

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Vladimir_Nesov (+8) /* See also */
Patrick (+243) Summarized some content from "The Fallacy of Gray"
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RobinZ (+214/-92) Generalizing beyond probabilities.

This fallacy is invoked by those who wish to attack a well well-performing system (e.g. Science), by saying that it is still imperfect. This then excuses the imperfections of the invoker's chosen system. For example "Science is based on faith too!"

This fallacy is invoked by those who wish to attack a well performing system (e.g. Science), by saying that it is still imperfect. This then excuses the imperfections of the invoker's chosen system. For example "Science is based on faith too!"

The fallacy of gray is a belief that because nothing is certain,certain, everything is equally uncertain. One who commits this fallacy may reply to the statement that probability of winning a lottery is only one in a million by saying: "There's still a chance, right?"

The fallacy of gray assumes that,is a belief that because the extremes on a given measure are impossible, all cases are equivalent. For example: because no statement may be proven with absolute certainty, all statements arenothing is certain, everything is equally uncertain. A subscriber to theOne who commits this fallacy may reply to being toldthe statement that the oddsprobability of winning a lottery is only one in a million by saying: "There's still a chance, right?"

The fallacy of gray isassumes that, because the extremes on a belief thatgiven measure are impossible, all cases are equivalent. For example: because nothing is certain, everything isno statement may be proven with absolute certainty, all statements are equally uncertain. One who commits thisA subscriber to the fallacy may reply to being told that the statement that probabilityodds of winning a lottery is only one in a million by saying: "There's still a chance, right?"

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