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The base rate fallacy, also called base rate neglect [2] or base rate bias, is a type of fallacy in which people tend to ignore the base rate (e.g., general prevalence) in favor of the individuating information (i.e., information pertaining only to a specific case). [3]
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 ...
For example, if the control group, using no treatment at all, had their own base rate of 1/20 recoveries within 1 day and a treatment had a 1/100 base rate of recovery within 1 day, we see that the treatment actively decreases the recovery. The base rate is an important concept in statistical inference, particularly in Bayesian statistics. [2]
The following are forms of extension neglect: Base rate fallacy or base rate neglect, the tendency to ignore general information and focus on information only pertaining to the specific case, even when the general information is more important. [47]
Base rates may be neglected more often when the information presented is not causal. [17] Base rates are used less if there is relevant individuating information. [18] Groups have been found to neglect base rate more than individuals do. [19] Use of base rates differs based on context. [20]
People often neglect base rates, or true actuarial facts about the probability or rate of a phenomenon, and instead give inappropriate amounts of weight to specific observations. [ 33 ] [ 34 ] In a Bayesian model of inference, this would amount to an underweighting of the prior probability, [ 6 ] which has been cited as evidence against the ...
At the U.S. Naval Medical Center in San Diego, close by the sprawling Marine base at Camp Pendleton, staff psychologist Amy Amidon sees a stream of Marines like Nick Rudolph struggling with their combat experiences. “They have seen the darkness within them and within the world, and it weighs heavily upon them,” she said.
In cognitive psychology and decision science, conservatism or conservatism bias is a bias which refers to the tendency to revise one's belief insufficiently when presented with new evidence. This bias describes human belief revision in which people over-weigh the prior distribution ( base rate ) and under-weigh new sample evidence when compared ...