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The bias can be mitigated by having managers find common ground with the employee, thus priming the manager to see the employee as part of their in-group. [10] Firms can also counter the bias through implicit bias training and by having hiring and promotions be a data and metrics driven process.
In psychology and cognitive science, a memory bias is a cognitive bias that either enhances or impairs the recall of a memory (either the chances that the memory will be recalled at all, or the amount of time it takes for it to be recalled, or both), or that alters the content of a reported memory. There are many types of memory bias, including:
The Cognitive Bias Codex. A cognitive bias is a systematic pattern of deviation from norm or rationality in judgment. [1] Individuals create their own "subjective reality" from their perception of the input. An individual's construction of reality, not the objective input, may dictate their behavior in the world.
Improvements in agricultural productivity and technology are expected to be able to meet anticipated increased demand for resources, making a global human overpopulation scenario unlikely. [208] [209] [210] For any given production set, there is not a set amount of labor input (a "lump of labor") to produce that output.
Bias can emerge from many factors, including but not limited to the design of the algorithm or the unintended or unanticipated use or decisions relating to the way data is coded, collected, selected or used to train the algorithm. [2] For example, algorithmic bias has been observed in search engine results and social media platforms.
Kendrick Frazier said that scientific skeptics have a commitment to science, reason, evidence, and the quest for truth. [10] Carl Sagan emphasized the importance of being able to ask skeptical questions, recognizing fallacious or fraudulent arguments, and considering the validity of an argument rather than simply whether we like the conclusion.
Matilda effect. The Matilda effect is a bias against acknowledging the achievements of women scientists whose work is attributed to their male colleagues. This phenomenon was first described by suffragist and abolitionist Matilda Joslyn Gage (1826–1898) in her essay, "Woman as Inventor" (first published as a tract in 1870 and in the North American Review in 1883).
Detection bias occurs when a phenomenon is more likely to be observed for a particular set of study subjects. For instance, the syndemic involving obesity and diabetes may mean doctors are more likely to look for diabetes in obese patients than in thinner patients, leading to an inflation in diabetes among obese patients because of skewed detection efforts.