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The continuum between the extremes is ignored. The term probability neglect was coined by Cass Sunstein. [1] There are many related ways in which people violate the normative rules of decision making with regard to probability including the hindsight bias, the neglect of prior base rates effect, and the gambler's fallacy. However, this bias is ...
Neglect of probability, the tendency to completely disregard probability when making a decision under uncertainty. [52] Scope neglect or scope insensitivity, the tendency to be insensitive to the size of a problem when evaluating it. For example, being willing to pay as much to save 2,000 children or 20,000 children.
Biases can be distinguished on a number of dimensions. Examples of cognitive biases include - Biases specific to groups (such as the risky shift) versus biases at the individual level. Biases that affect decision-making, where the desirability of options has to be considered (e.g., sunk costs fallacy).
Several theories predict the fundamental attribution error, and thus both compete to explain it, and can be falsified if it does not occur. Some examples include: Just-world fallacy. The belief that people get what they deserve and deserve what they get, the concept of which was first theorized by Melvin J. Lerner in 1977. [11]
The gambler's fallacy, also known as the Monte Carlo fallacy or the fallacy of the maturity of chances, is the belief that, if an event (whose occurrences are independent and identically distributed) has occurred less frequently than expected, it is more likely to happen again in the future (or vice versa).
Logical Fallacies, Literacy Education Online; Informal Fallacies, Texas State University page on informal fallacies; Stephen's Guide to the Logical Fallacies (mirror) Visualization: Rhetological Fallacies, Information is Beautiful; Master List of Logical Fallacies, University of Texas at El Paso; Fallacies, Internet Encyclopedia of Philosophy
"Try to see the good in people." "Come on − he can't be that bad." "You should be grateful to even be in a relationship." If you've heard these phrases before, chances are you've been bright sided.
A naturalistic fallacy can occur, for example, in the case of sheer quantity metrics based on the premise "more is better" [43] or, in the case of developmental assessment in the field of psychology, "higher is better". [46] A false analogy occurs when claims are supported by unsound comparisons between data points.