False precision

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False precision occurs when numerical data are presented in a manner that implies better precision than is actually the case; since precision is a limit to accuracy, this often leads to overconfidence in the accuracy as well.

In science and engineering, convention dictates that unless a margin of error is explicitly stated, the number of significant figures used in the presentation of data should be limited by the precision of those data. Even outside these disciplines, there is a tendency to assume that all the non-zero digits of a number are meaningful; thus, providing excessive figures may lead the viewer to expect better precision than actually exists.

False precision commonly arises when high-precision and low-precision data are combined, and in conversion of units. Examples:

  • “Bobo the Elephant weighs 10 tonnes. I weigh 79 kilograms. Together, Bobo and I weigh 10,079 kg.” A proper way to state this is as follows: “Bobo the elephant and I weigh 10 tonnes.”
  • “Twenty seven years ago, Luis Alvarez first proposed that the Cretaceous-Tertiary extinction was caused by an asteroid that struck the earth 65.5 million years earlier. This means the dinosaurs died out 65,500,027 years ago.”
  • “European authorities estimated that the bomb used 220 pounds of explosive.” In this example, European authorities, which express measurements in SI units (the metric system), estimated that the bomb used 100 kg of explosives. Such estimates are necessarily subject to great uncertainty. When converted by the American media to pounds, the added precision suggests greater accuracy in the estimation of the bomb’s size than actual. A proper way to state this is as follows: “European authorities estimated the bomb used 100 kg (220 lbs) of explosives.”
  • In the United States, normal human body temperature is commonly quoted with false precision as 98.6 °F (37.0 °C). In Russia, the commonly quoted value is 36.6 °C (97.88 °F). These values appear to be the result of the same classic German study that found the average body temperature of healthy humans is 36.6 °C. Because of the normal variation in human body temperature, this value would properly be rounded to 37 °C or 98 °F. One commonly cited normal range for human body temperature is 36.4 – 37.1 °C (97.5 – 98.8 °F).

Informal fallacies
v  d  e
Special pleading | Red herring | Gambler's fallacy and its inverse
Fallacy of distribution (Composition | Division) | Begging the question | Many questions
Correlative-based fallacies:
False dilemma (Perfect solution) | Denying the correlative | Suppressed correlative
Deductive fallacies:
Accident | Converse accident
Inductive fallacies:
Hasty generalization | Overwhelming exception | Biased sample
False analogy | Misleading vividness | Conjunction fallacy
Vagueness:
False precision | Slippery slope
Ambiguity:
Amphibology | Continuum fallacy | False attribution (Contextomy | Quoting out of context)
Equivocation (Loki's Wager | No true Scotsman)
Questionable cause:
Correlation does not imply causation | Post hoc | Regression fallacy
Texas sharpshooter | Circular cause and consequence | Wrong direction | Single cause
Other types of fallacy

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