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Hindsight Biases

Hindsight Biases

Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?

Motivational Bias

Motivational Bias

Cognitive bias results from limitations in thinking and information processing, leading to systematic errors in judgment. Conversely, motivational bias stems from personal desires or emotions, causing distortions in perception to align with self-interest. Motivational bias influences how individuals perceive and attribute causes to events, often shaped by personal needs, goals, and self-esteem preservation. This bias can distort judgment, leading to inaccurate assessments of success, failure,...

The Representativeness Heuristic

The Representativeness Heuristic

The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.

Bias

Bias

Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...

The Availability Heuristic

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):

Confirmation Biases

Confirmation Biases

The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?

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The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

Biased by our imaginings.

Ema Sullivan-Bissett¹

¹Department of Philosophy University of Birmingham Birmingham UK.

Mind & Language

|January 3, 2020

Summary

This summary is machine-generated.

This study introduces a new unconscious imaginings model for implicit bias. This approach better explains implicit bias features and heterogeneity compared to prior models.

Keywords:

association belief folk psychology imagination implicit bias unconscious imagination

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Published on: June 3, 2013

Area of Science:

Psychology
Cognitive Science
Social Psychology

Background:

Implicit biases significantly influence behavior and societal structures.
Existing models, such as the doxastic model, face challenges in fully explaining implicit bias characteristics.
The heterogeneity within the category of implicit bias requires a more comprehensive theoretical framework.

Purpose of the Study:

To propose a novel model of implicit bias.
To conceptualize implicit biases as unconscious imaginings.
To demonstrate the advantages of this new model over existing ones.

Main Methods:

Theoretical argumentation and conceptual analysis.
Comparison of the proposed model with the doxastic model of implicit bias.
Examination of the model's ability to account for the structural heterogeneity of implicit bias.

Main Results:

Implicit biases are constituted by unconscious imaginings.
The proposed model accommodates key features of implicit bias, such as its automaticity and resistance to direct control.
This framework addresses limitations of the doxastic model and explains the diverse nature of implicit biases.

Conclusions:

The unconscious imaginings model offers a robust explanation for implicit bias.
This perspective provides a foundation for understanding accountability and developing effective intervention strategies for implicit bias.
Further research should explore the empirical implications of unconscious imaginings in implicit bias.