Knowledge

Bias

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Theoretically, gender discrimination has been described as (1) the unequal rewards that men and women receive in the workplace or academic environment because of their gender or sex difference (DiThomaso, 1989); (2) a process occurring in work or educational settings in which an individual is overtly or covertly limited access to an opportunity or a resource because of a sex or is given the opportunity or the resource reluctantly and may face harassment for picking it (Roeske & Pleck, 1983); or (3) both.
2327: 3067:, reporting bias is defined as "selective revealing or suppression of information" of undesirable behavior by subjects or researchers. It refers to a tendency to under-report unexpected or undesirable experimental results, while being more trusting of expected or desirable results. This can propagate, as each instance reinforces the status quo, and later experimenters justify their own reporting bias by observing that previous experimenters reported different results. 3110: 12361: 10426: 10416: 3978:: the phenomenon that perceptions, attitudes, and stereotypes operate without conscious intention. For example, researchers may have implicit bias when designing survey questions and as a result, the questions do not produce accurate results or fail to encourage survey participation. The existence of implicit bias is supported by a variety of scientific articles in psychological literature. Implicit stereotype was first defined by psychologists 2441:. It can be positive or negative, depending on the audience and what kind of information is being presented. For political purposes, framing often presents facts in such a way that implicates a problem that is in need of a solution. Members of political parties attempt to frame issues in a way that makes a solution favoring their own political leaning appear as the most appropriate course of action for the situation at hand. As understood in 3837:
Religious bias in textbooks is observed in countries where religion plays a dominant role. There can be many forms of educational bias. Some overlooked aspects, occurring especially with the pedagogical circles of public and private schools—sources that are unrelated to fiduciary or mercantile impoverishment which may be unduly magnified—include teacher bias as well as a general bias against women who are going into STEM research.
73: 12371: 2832: 38: 3998: 2671:, or the appearance of corruption, happens. "A conflict of interest is a set of circumstances that creates a risk that professional judgement or actions regarding a primary interest will be unduly influenced by a secondary interest." It exists if the circumstances are sensibly accepted to present a hazard that choices made may be unduly affected by auxiliary interests. 3932:, match fixing occurs when a match is played to a completely or partially pre-determined result, violating the rules of the game and often the law. There is a variety of reasons for this, but the most common is in exchange for a payoff from gamblers. Players might also intentionally perform poorly to get an advantage in the future (such as a better 2590:. It is the propensity to credit accomplishment to our own capacities and endeavors, yet attribute failure to outside factors, to dismiss the legitimacy of negative criticism, concentrate on positive qualities and accomplishments yet disregard flaws and failures. Studies have demonstrated that this bias can affect 2938:
that dominate the industry or sector it is charged with regulating. Regulatory capture occurs because groups or individuals with a high-stakes interest in the outcome of policy or regulatory decisions can be expected to focus their resources and energies in attempting to gain the policy outcomes they
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about the causes of their own and others' behaviors; but these attributions do not necessarily precisely reflect reality. Rather than operating as objective perceivers, individuals are inclined to perceptual slips that prompt biased understandings of their social world. When judging others we tend to
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Funding bias refers to the tendency of a scientific study to support the interests of the study's financial sponsor. This phenomenon is recognized sufficiently that researchers undertake studies to examine bias in past published studies. It can be caused by any or all of: a conscious or subconscious
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to anticipate a particular output. To accomplish this, the learning algorithm is given training cases that show the expected connection. Then the learner is tested with new examples. Without further assumptions, this problem cannot be solved exactly as unknown situations may not be predictable. The
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Gatekeeping is the way in which information and news are filtered to the public, by each person or corporation along the way. It is the "process of culling and crafting countless bits of information into the limited number of messages that reach people every day, and it is the center of the media's
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Selection bias is the conscious or unconscious bias introduced into a study by the way individuals, groups or data are selected for analysis, if such a way means that true randomization is not achieved, thereby ensuring that the sample obtained is not representative of the population intended to be
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respondents can tend to answer questions in a manner that will be viewed positively by others. It can take the form of over-reporting laudable behavior, or under-reporting undesirable behavior. This bias interferes with the interpretation of average tendencies as well as individual differences. The
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Self-regulation is the process whereby an organization monitors its own adherence to legal, ethical, or safety standards, rather than have an outside, independent agency such as a third party entity monitor and enforce those standards. Self-regulation of any group can create a conflict of interest.
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Implicit stereotypes are shaped by experience and based on learned associations between particular qualities and social categories, including race and/or gender. Individuals' perceptions and behaviors can be influenced by the implicit stereotypes they hold, even if they are unaware/unintentionally
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Sexism is any act, attitude, or institutional configuration that systematically subordinates or devalues women. Built upon the belief that men and women are constitutionally different, sexism takes these differences as indications that men are inherently superior to women, which then is used to
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inductive bias of the learning algorithm is the set of assumptions that the learner uses to predict outputs given inputs that it has not encountered. It may bias the learner towards the correct solution, the incorrect, or be correct some of the time. A classical example of an inductive bias is
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Gender or Sex Discrimination: This term refers to the types of gender bias that have a negative impact. The term has legal, as well as theoretical and psychological, definitions. Psychological consequences can be more readily inferred from the latter, but both definitions are of significance.
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Bias in education refers to real or perceived bias in the educational system. The content of school textbooks is often the issue of debate, as their target audience is young people, and the term "whitewashing" is used to refer to selective removal of critical or damaging evidence or comment.
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Bias and prejudice are usually considered to be closely related. Prejudice is prejudgment, or forming an opinion before becoming aware of the relevant facts of a case. The word is often used to refer to preconceived, usually unfavorable, judgments toward people or a person because of
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Sensationalism is when events and topics in news stories and pieces are overhyped to present skewed impressions of events, which may cause a misrepresentation of the truth of a story. Sensationalism may involve reporting about insignificant matters and events, or the presentation of
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If any organization, such as a corporation or government bureaucracy, is asked to eliminate unethical behavior within their own group, it may be in their interest in the short run to eliminate the appearance of unethical behavior, rather than the behavior itself.
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A cognitive bias is a repeating or basic misstep in thinking, assessing, recollecting, or other cognitive processes. That is, a pattern of deviation from standards in judgment, whereby inferences may be created unreasonably. People create their own "subjective
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Statistical bias is a systematic tendency in the process of data collection, which results in lopsided, misleading results. This can occur in any of a number of ways, in the way the sample is selected, or in the way data are collected. It is a property of a
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ante, as when the current state of affairs is objectively superior to the available alternatives, or when imperfect information is a significant problem. A large body of evidence, however, shows that status quo bias frequently affects human decision-making.
2628:; a preference for the current state of affairs. The current baseline (or status quo) is taken as a reference point, and any change from that baseline is perceived as a loss. Status quo bias should be distinguished from a rational preference for the 2534:, wherein positive sentiments in one area cause questionable or unknown characteristics to be seen positively. If the observer likes one aspect of something, they will have a positive predisposition toward everything about it. A person's 11387: 1032: 5425: 2159:" from their own perceptions, their view of the world may dictate their behaviour. Thus, cognitive biases may sometimes lead to perceptual distortion, inaccurate judgment, illogical interpretation, or what is broadly called 9158: 7270:
as discrimination against either men or women on the grounds of sex, and also "any devaluation or denigration of women or men, but particularly women, which is embodied in institutions and social relationships".
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Cultural bias is the related phenomenon of interpreting and judging phenomena by standards inherent to one's own culture. Numerous such biases exist, concerning cultural norms for color, location of body parts,
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Ames, Barry; Barker, David C; Bonneau, Chris W; Carman, Christopher J (2005), "Hide the Republicans, the Christians, and the Women: A Response to "Politics and Professional Advancement Among College Faculty"",
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Ageism is the stereotyping and/or discrimination against individuals or groups on the basis of their age. It can be used in reference to prejudicial attitudes towards older people, or towards younger people.
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prefer, while members of the public, each with only a tiny individual stake in the outcome, will ignore it altogether. Regulatory capture is a risk to which a regulatory agency is exposed by its very nature.
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charged issues and for deeply entrenched beliefs. People also tend to interpret ambiguous evidence as supporting their existing position. Biased search, interpretation and memory have been invoked to explain
2900:, stand to benefit by shaping the law to serve the interests of some private parties, there is a conflict of interest. This can lead to all sides in a debate looking to sway the issue by means of lobbyists. 7383:
lies in its consequences: if it supports male privilege, then it is by definition sexist. I specify 'male privilege' because in every known society where gender inequality exists, males are privileged over
3553:. Scholars can more easily discover and access articles that have their full text on the internet, which increases authors' likelihood of reading, quoting, and citing these articles, this may increase the 3770:
Agenda setting describes the capacity of the media to focus on particular stories, if a news item is covered frequently and prominently, the audience will regard the issue as more important. That is, its
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to encourage other onlookers or audience members to purchase the goods or services (or accept the ideas being marketed). Shilling is illegal in some places, but legal in others. An example of shilling is
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De Vos, M. (2020). The European Court of Justice and the march towards substantive equality in European Union anti-discrimination law. International Journal of Discrimination and the Law, 20(1), 62-87.
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Practical limitations to media neutrality include the inability of journalists to report all available stories and facts, the requirement that selected facts be linked into a coherent narrative,
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Racism consists of ideologies based on a desire to dominate or a belief in the inferiority of another race. It may also hold that members of different races should be treated differently.
11361: 3422:. Claims of bias are often linked to claims by conservatives of pervasive bias against political conservatives and religious Christians. Some have argued that these claims are based upon 3015:
A forecast bias is when there are consistent differences between results and the forecasts of those quantities; that is: forecasts may have an overall tendency to be too high or too low.
998: 4728: 2489:. Ordinary people may tend to imagine other people as basically the same, not significantly more or less valuable, probably attached emotionally to different groups and different land. 5390: 2461:, that individuals rely on to understand and respond to events. People use filters to make sense of the world, the choices they then make are influenced by their creation of a frame. 9148: 3192:, or other personal characteristics. Prejudice can also refer to unfounded beliefs and may include "any unreasonable attitude that is unusually resistant to rational influence". 2205:, individuals begin with an implicitly suggested reference point (the "anchor") and make adjustments to it to reach their estimate. For example, the initial price offered for a 7106:
racism: Belief that humans are subdivided into distinct groups that are different in their social behavior and innate capacities and that can be ranked as superior or inferior.
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of bribery in some countries, while in the United States they are legal provided they adhere to election law. Tipping is considered bribery in some societies, but not others.
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Chandon, Pierre; Wansink, Brian (2007). "The Biasing Health Halos of Fast-Food Restaurant Health Claims: Lower Calorie Estimate and Higher Side-Dish Consumption Intentions".
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role in modern public life. This process determines not only which information is selected, but also what the content and nature of the messages, such as news, will be."
8943: 6534:"Small is beautiful, at least in high-income democracies: the distribution of policy-making responsibility, electoral accountability, and incentives for rent extraction" 7754: 6533: 5199: 2074:, or unfair. Biases can be innate or learned. People may develop biases for or against an individual, a group, or a belief. In science and engineering, a bias is a 11850: 1501: 8195: 3662:
on the basis of racially observed characteristics or behavior, rather than on individual suspicion. Racial profiling is commonly referred to regarding its use by
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Campbell, W. Keith; Sedikides, Constantine; Reeder, Glenn D.; Elliot, Andrew J. (2000). "Among friends? An examination of friendship and the self-serving bias".
10911: 8210: 3948:, involves fixing small events within a match which can be gambled upon, but which are unlikely to prove decisive in determining the final result of the game. 540: 5709: 6512: 5439:
Wade, T Joel; DiMaria, Cristina (2003). "Weight Halo Effects: Individual Differences in Perceived Life Success as a Function of Women's Race and Weight".
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is likely to be published because of a tendency among researchers and journal editors to prefer some outcomes rather than others (e.g., results showing a
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in the selection of events, the stories that are reported, and how they are covered. The term generally implies a pervasive or widespread bias violating
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over out-group members. This can be expressed in evaluation of others, in allocation of resources, and in many other ways. This has been researched by
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Brady, K. L.; Eisler, R. M. (1995). "Gender Bias in the College Classroom: A Critical Review of the Literature and Implications for Future Research".
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Boysen, Guy A; Vogel, David L; Cope, Marissa A; Hubbard, Asale (2009), "Incidents Of Bias in College Classrooms: Instructor and Student Perceptions",
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Mitchell, T. M. (1980). The need for biases in learning generalizations (Report). CBM-TR 5-110. New Brunswick, New Jersey, US: Rutgers University.
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The opposite of the halo is the horn effect, when "individuals believe (that negative) traits are inter-connected." The term horn effect refers to
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justify the nearly universal dominance of men in social and familial relationships, as well as politics, religion, language, law, and economics.
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Welsh, Matthew B.; Delfabbro, Paul H.; Burns, Nicholas R.; Begg, Steve H. (2014). "Individual differences in anchoring: Traits and experience".
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De Michele, P.; Gansneder, B.; Solomon, G. (1998). "Success and failure attributions of wrestlers: Further Evidence of the Self-Serving Bias".
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An attribution bias can happen when individuals assess or attempt to discover explanations behind their own and others' behaviors. People make
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of conservatives choosing not to pursue academic careers. There is some evidence that perception of classroom bias may be rooted in issues of
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Rhodes, Gillian; Simmons, Leigh; Peters, Marianne (2005). "Attractiveness and Sexual Behavior: Does Attractiveness Enhance Mating Success?".
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Prejudice, discrimination, or antagonism directed against someone of a different race based on the belief that one's own race is superior:
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is favoritism of long-standing friends, especially by appointing them to positions of authority, regardless of their qualifications.
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Bribery is giving of money, goods or other forms of recompense to in order to influence the recipient's behavior. Bribes can include
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van der Pas, D. (2014). "Making Hay While the Sun Shines: Do Parties Only Respond to Media Attention When The Framing is Right?".
10006: 8341: 7677: 5225: 2295:, whereas we tend to assume our own actions arise because of the necessity of external circumstances. There are a wide range of 12683: 12346: 11070: 10841: 10669: 10654: 10649: 10495: 10347: 6291: 4571: 2011: 707: 462: 290: 275: 270: 100: 6350: 4545: 12374: 10901: 10634: 9100: 9072: 8993: 8605:
Song, F.; Parekh, S.; Hooper, L.; Loke, Y. K.; Ryder, J.; Sutton, A. J.; Hing, C.; Kwok, C. S.; Pang, C.; Harvey, I. (2010).
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to act on behalf of others, such as elected officials with a duty to serve their constituents' interests or more broadly the
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Clinical Aspects of Sexual Harassment and Gender Discrimination: Psychological Consequences and Treatment Interventions
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Favoritism, sometimes known as in-group favoritism, or in-group bias, refers to a pattern of favoring members of one's
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Forcible Rape Institutionalized Sexism in the Criminal Justice System| Gerald D. Robin Division of Criminal Justice,
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Abramson, L.Y.; Seligman, M.E.; Teasdale, J.D. (1978). "Learned helplessness in humans: Critique and reformulation".
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system. Match-fixing generally refers to fixing the final result of the game. Another form of match-fixing, known as
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Victim blaming occurs when the victim of a wrongful act is held at fault for the harm that befell them. The study of
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The related bias, no abstract available bias (NAA bias) is scholars' tendency to cite journal articles that have an
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Both of these bias effects often clash with phrases such as "words mean something" and "Your words have a history."
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Murali, N. S.; Murali, H. R.; Auethavekiat, P.; Erwin, P. J.; Mandrekar, J. N.; Manek, N. J.; Ghosh, A. K. (2004).
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Apophenia, also known as patternicity, or agenticity, is the human tendency to perceive meaningful patterns within
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Campbell, W.K.; Sedikides, C. (1999). "Self-threat magnifies the self-serving bias: A meta-analytic integration".
4196: 2389:(when people falsely perceive an association between two events or situations). Confirmation biases contribute to 11598: 11109: 10871: 10674: 10078: 9996: 9806: 7242:
Defines sexism as "thought or practice which may permeate language and which assumes women's inferiority to men".
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Greenwald, A. G.; Banaji, M. R. (1995). "Implicit social cognition: Attitudes, self-esteem, and stereotypes".
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Eagly, Alice; Ashmore, Richard; Makhijani, Mona G.; Longo, Laura C. (1991). "What is beautiful is good, but".
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while giving disproportionately less attention to information that contradicts it. The effect is stronger for
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Fox, K. A.; Cook, C. L. (2011). "Is Knowledge Power? The Effects of a Victimology Course on Victim Blaming".
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Defines sexism as "prejudice, stereotyping, or discrimination, typically against women, on the basis of sex".
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Coombs, Timothy W; Holladay, Sherry J (2006). "Unpacking the halo effect: reputation and crisis management".
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expectations cause them to subconsciously influence the people participating in an experiment. It is usually
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Pareidolia is the visual or auditory form of apophenia. It has been suggested that pareidolia combined with
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lower than the initial price seem more reasonable even if they are still higher than what the car is worth.
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usually refers to prejudice or discrimination based on sex or gender, especially against women and girls.
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The Greenwood Encyclopedia of Love, Courtship, and Sexuality through History, Volume 6: The Modern World
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wrote: "A great many people think they are thinking when they are merely rearranging their prejudices."
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Moon, Youngme (2003). "Don't Blame the Computer: When Self-Disclosure Moderates the Self-Serving Bias".
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Green S, Higgins S, editors: Glossary. Cochrane Handbook for Systematic Reviews of Interventions 4.2.5.
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Taylor, Donald M.; Doria, Janet R. (April 1981). "Self-serving and group-serving bias in attribution".
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finding), which leads to a problematic bias in the published literature. This can propagate further as
3024: 2769:. Expectations of when a monetary transaction is appropriate can differ from place to place. Political 2300: 2184: 1962: 719: 390: 105: 8710:
Dickersin, K.; Chan, S.; Chalmers, T. C.; et al. (1987). "Publication bias and clinical trials".
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ICE Australia, International Conferences and Events (PDF) (October 24, 2007). Retrieved April 14, 2011
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Rosenberg, M (2016). "The Destruction of Clinical Medicine and What is Needed for its Resurrection".
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Welsh, Matthew; Begg, Steve (2016). "What have we learned? Insights from a decade of bias research".
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analyzed. This results in a sample that may be significantly different from the overall population.
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Sexism, or prejudice toward one sex (almost always women), has existed throughout recorded history.
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Racial profiling, or ethnic profiling, is the act of suspecting or targeting a person of a certain
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in personal beliefs and can maintain or strengthen beliefs in the face of contrary evidence. Poor
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which would not reliably indicate systematic bias, and have suggested that this divide is due to
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Nickerson, Raymond S. (June 1998). "Confirmation Bias: A Ubiquitous Phenomenon in Many Guises".
4347: 3970:, is the unconscious attribution of particular qualities to a member of a certain social group. 898: 12437: 12292: 12265: 12255: 11735: 11715: 11578: 11449: 11346: 11296: 11266: 11246: 11174: 11154: 11129: 11124: 11119: 11030: 11001: 10974: 10950: 10945: 10541: 10531: 10379: 10059: 9743: 9723: 9504: 9482: 9337: 9249: 6669: 5977: 5886: 5876: 5513: 4362: 4330: 3814: 3508: 3477: 3459: 2792: 2770: 2450: 2339: 1957: 1930: 1920: 1380: 1360: 1223: 1094: 983: 933: 903: 883: 811: 791: 766: 761: 756: 667: 630: 603: 579: 574: 154: 144: 8029: 7830: 6732: 6612: 4465: 4289:
Kahneman, D.; Tversky, A. (1972). "Subjective probability: A judgment of representativeness".
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however, it is commonly held that, in developed societies, women have been the usual victims.
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Warren, Patricia Y.; Farrell, Amy (2009). "The Environmental Context of Racial Profiling".
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Shermer, Michael (2008). "Patternicity: Finding Meaningful Patterns in Meaningless Noise".
4609: 4426: 3465: 3439: 3419: 3372: 3360: 3355:. Discrimination in this context is defined as discrimination toward people based on their 3216: 3034: 2953:
Shilling is deliberately giving spectators the feeling that one is an energetic autonomous
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Why Men Earn More: The Startling Truth About the Pay Gap -- And What Women Can Do About It
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will themselves be biased if the original literature is contaminated by publication bias.
2437:, and so on. It is an influence over how people organize, perceive, and communicate about 8: 12688: 12589: 12416: 12307: 12168: 11803: 11705: 11685: 11474: 11382: 11341: 11321: 11291: 11184: 10979: 10794: 10269: 9946: 9863: 9763: 9698: 9638: 9628: 9623: 9487: 9153: 8607:"Dissemination and publication of research findings: An updated review of related biases" 8447:"The effect of online status on the impact factors of general internal medicine journals" 8268:"Pharmaceutical industry sponsorship and research outcome and quality: systematic review" 7423: 7413:
inequality, it is usually women who are disadvantaged relative to similarly situated men.
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has been found to produce a halo effect. The halo effect is also present in the field of
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for gambling. Gamblers may imagine that they see patterns in the numbers which appear in
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influences their feelings about specifics of that entity's character or properties.
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may have helped ancient societies organize chaos and make the world intelligible.
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with significant results often do not appear to be superior to studies with a
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due to these biases have been found in political and organizational contexts.
12673: 12667: 12324: 11947: 11883: 11868: 11730: 11695: 11675: 11546: 11489: 11424: 10836: 10739: 10184: 9971: 9951: 9914: 9888: 9873: 9853: 9833: 9796: 9708: 9668: 9663: 9658: 9536: 9440: 8914: 8834: 8749:"The stories, the statistics, and the law: Why 'Driving While Black' matters" 8120: 7953: 7874: 7799: 7734: 7390: 7274: 6796: 6792: 6464: 6175: 6067: 5999: 5836: 5352: 5155: 4523: 4171: 4057: 3711: 3554: 3550: 3401: 3146: 3010: 2967: 2758: 2442: 2408: 2160: 1989: 1598: 1534: 1519: 1375: 1340: 1320: 1191: 1134: 1069: 457: 360: 10334:
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drivers. The phrase implies that a motorist might be pulled over by a
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for whom one is working. The effectiveness of shilling relies on
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Publication bias is a type of bias with regard to what academic
2291:
assume their actions are the result of internal factors such as
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hold such stereotypes. Implicit bias is an aspect of implicit
3545:—that is, journals that make their full text available on the 3044: 2892:
in order to serve their own interests. When people who have a
2831: 11670: 10521: 10189: 8364: 5192:"The Halo Effect: Definition, Advantages & Disadvantages" 3887: 3375:. Sexism may arise from social or cultural customs and norms. 3328: 2993:
of the results differs from the true underlying quantitative
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seeks to mitigate the perception of victims as responsible.
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that describes the propensity to rely on the first piece of
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Frame Analysis: An Essay on the Organization of Experience
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Social cognition: How individuals construct social reality
4276:
Social cognition: How individuals construct social reality
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Social cognition: How individuals construct social reality
3359:
or their gender or sex differences. An example of this is
9381: 7898:
Why Are Professors Liberal and Why Do Conservatives Care?
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Gary Adams, Sharon Hayes, Stuart Weierter and John Boyd,
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process that does not give accurate results on average.
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that give the impression of being autonomous opinions.
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an idea or thing, usually in a way that is inaccurate,
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8406:"Online access to nephrology journals: The FUTON bias" 7931: 7453: 7279:
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selective recording of experimental results themselves
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The Printing Press (Inventions That Shaped the World)
8709: 8444: 7515: 7478: 6931: 4943: 4750:"Why Do We Need a Belief in God with Michael Shermer" 3549:
without charge—in their own writing as compared with
3476:
influences on subject behavior including creation of
3363:. Sexism refers to violation of equal opportunities ( 2856:
Lobbying is the attempt to influence choices made by
2330:
Confirmation bias has been described as an internal "
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5702:"The Halo and Horns Effects [Rating Errors]" 5574:"The 'halo effect' shields NGOs from media scrutiny" 4721:"Michael Shermer: The pattern behind self-deception" 4415:"Judgement under uncertainty: Heuristics and biases" 4319:(4th ed.). New York, NY: Cambridge University Press. 3993: 2526:
The name halo effect is based on the concept of the
7418: 6964: 6797:
Quotable Quotes – Courtesy of The Freeman Institute
5967: 4595:"Judgment under Uncertainty: Heuristics and Biases" 4586: 3305:
organizations campaigned for women's right to vote.
2667:, it can be found and intentionally defused before 9004: 8814: 8181: 8179: 8155: 7622: 7523: 7434:(5th ed.). Boston: McGraw-Hill. p. 601. 7364:(2nd ed.). Oxford, UK: Blackwell Publishers. 7247: 6835: 6566:FTC v. Greeting Cards of America, Inc. et al - USA 5397: 3737:, the influence of the owners of the news source, 3533:Full text on net (or FUTON) bias is a tendency of 3327:. Sexism can affect anyone, but primarily affects 44:. A common example of a perceptual bias caused by 12246:Racial bias in criminal news in the United States 8557: 8555: 8360: 8358: 8070:Geisen, Emily; Sha, Mandy; Roper, Farren (2024). 8021: 7829:, American Federation of Teachers, archived from 7823:The "Faculty Bias" Studies: Science or Propaganda 7395:Gender Inequality: Feminist Theories and Politics 7120: 5822: 5214: 4263:. Hove and New York: Psychology Press. p. 2. 2880:, the implication is that people with inordinate 2586:by the individual's need to maintain and enhance 1911:Racial bias in criminal news in the United States 12665: 9268: 9243: 9241: 9118:"Seven Forms of Bias in Instructional Materials" 7976:Journal of Research and Development in Education 7293:Either sex may be the object of sexist attitudes 7094:(9th ed.). Los Angeles: SAGE. p. 405. 6284: 4487:Bless, H.; Fiedler, K. & Strack, F. (2004). 4274:Bless, H.; Fiedler, K. & Strack, F. (2004). 4259:Bless, H.; Fiedler, K. & Strack, F. (2004). 3640:officer, questioned, and searched, because of a 2507:The halo effect and the horn effect are when an 2163:. However some cognitive biases are taken to be 11906:Same-sex marriage (laws and issues prohibiting) 10140:Conflict of interest in the healthcare industry 9327: 9093:The Media Reader: Continuity and Transformation 8314: 8176: 7302: 6770: 6531: 5870: 5813:, 7th Edition. New York: McGraw Hill Education. 4592: 4288: 3406:Academic bias is the bias or perceived bias of 1557:Same-sex marriage (laws and issues prohibiting) 11388:SPLC-designated list of anti-LGBTQ hate groups 9173: 9007:Media Effects: Advances in Theory and Research 8967:, Committee to Protect Journalists, 2 May 2006 8639: 8552: 8397: 8355: 8185: 8069: 5786:"Rep. Hank Johnson, Your Words Have a History" 5783:Rep. Hank Johnson, Your Words Have a History, 5647:International Journal of Research in Marketing 5617: 5503: 5314:Nisbett, Richard E; Wilson, Timothy D (1977). 5027:The Psychology of Judgment and Decision Making 4346:Gigerenzer, G. & Goldstein, D. G. (1996). 2492: 1033:SPLC-designated list of anti-LGBTQ hate groups 12401: 10456: 10430:Conflicts of interest on Knowledge (category) 10105: 9397: 9238: 8872:Canadian Resource Centre for Victims of Crime 8820: 8528: 7772: 7770: 6610: 5403: 5313: 5049: 4718: 3018: 2261:. One manifestation of this is known as the " 2036: 8740: 8652: 7175:Encyclopedia of Gender and Society, Volume 2 6735:. psychologyconcepts.com. 13 November 2011. 6142:. 7th ed. Upper Saddle River: Prentice Hall. 5673:"Mental Model: Horns Effect and Halo Effect" 5410:Journal of Personality and Social Psychology 5323:Journal of Personality and Social Psychology 5100: 4560: 4530: 4333:: The Hidden Forces That Shape Our Decisions 4145: 4143: 3706:Media bias is the bias or perceived bias of 3666:, and its leading to discrimination against 3609: 3367:) based on gender or refers to violation of 11604:List of people killed for being transgender 10310:Sponsorship of continuing medical education 8403: 8340:. Cochrane Bias Methods Group. 2009-06-19. 7973: 7564: 7226:(2005). "Sexism". In Honderich, Ted (ed.). 7201: 7172: 6758:Dictionary of Cancer Terms → selection bias 6151: 5438: 5249:"A constant error in psychological ratings" 5170: 5141: 5135: 4838: 4183: 4181: 3855:. In machine learning one seeks to develop 3116:is supposed to collect of a representative 3045:Reporting bias and social desirability bias 2876:, or not. Lobbying is often spoken of with 2872:, or not; they may engage in lobbying as a 1249:List of people killed for being transgender 12408: 12394: 10463: 10449: 10112: 10098: 10060:Heuristics in judgment and decision-making 9404: 9390: 9020:Shoemaker, Pamela J.; Vos, Tim P. (2009). 8649:. Wiley. Chichester, England; Hoboken, NJ. 8486:Journal of the Medical Library Association 8208: 7767: 7658: 6259:"In Praise of Nepotism: A Natural History" 6232: 6053: 5730:Deren, MM (2013). "Words mean something". 5665: 5644: 5180:. Cambridge, MA: Harvard University Press. 3851:Inductive bias occurs within the field of 3079:inclination represents a major issue with 3070:Social desirability bias is a bias within 2043: 2029: 9341: 9253: 9140: 9081: 9053: 8780:"Thirteen Ways of Looking at a Black Man" 8678: 8622: 8598: 8505: 8421: 8291: 7813: 7724: 7593:Beyond Comparison: Sex and Discrimination 7459: 7230:(2nd ed.). Oxford University Press. 7163:the more accurate and more specific sense 7140: 7074: 6727: 6725: 6698: 6688: 6604: 6502:(August 3, 2006). Retrieved April 1, 2011 5981: 5915: 5890: 5756: 5694: 5517: 5342: 5246: 5183: 5055: 4366: 4149: 4140: 4111: 3229:. 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Archived from 8958:"10 Most Censored Countries" 8726:10.1016/0197-2456(87)90155-3 8680:10.1016/0140-6736(91)90201-Y 8611:Health Technology Assessment 8007:10.1016/0021-9681(79)90012-2 7895:Gross, Neil (9 April 2013), 7001:"Oxford English Dictionary, 6967:Evolution and Human Behavior 6614:A Dictionary of Epidemiology 6155:Journal of Social Psychology 5825:Review of General Psychology 5506:Journal of Consumer Research 5058:Review of General Psychology 4516:10.1016/j.lindif.2013.01.002 4303:10.1016/0010-0285(72)90016-3 2655:has intersecting interests ( 2530:, and is a specific type of 2220: 2178: 2093: 2086:of a population, or from an 7: 12679:Communication of falsehoods 12189:Medical model of disability 12041:Hate speech laws by country 9926:DĂŠformation professionnelle 8617:(8): iii, iix–xi, iix–193. 7995:Journal of Chronic Diseases 7820:Lee, John (November 2006), 7623:Sharyn Ann Lenhart (2004). 7125:. Oxford University Press. 6952:10.1037/0033-2909.110.1.109 5811:Exploring Social Psychology 4377:10.1037/0033-295X.103.4.650 3989: 3785:Gatekeeping (communication) 3720:the standards of journalism 3602:with respect to quality of 3210: 2942: 2826: 2600:interpersonal relationships 2493:Halo effect and horn effect 2481:validity, acceptability of 1854:Medical model of disability 1700:Hate speech laws by country 10: 12705: 12298:Social model of disability 10770:Discrimination against men 9920:Basking in reflected glory 9411: 8713:Controlled Clinical Trials 8498:10.3163/1536-5050.96.4.010 8209:Wilmshurst, Peter (2007). 7597:Cambridge University Press 6733:"Social Desirability Bias" 6349:. 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Ronald House Durham. 5453:10.1023/A:1023582629538 5290:"Horns and halo effect" 5121:10.1023/A:1015006907312 4659:Avoiding Decision Traps 3815:professional journalism 3809:topics in a trivial or 3265:physical attractiveness 3072:social science research 2866:administrative agencies 2191:psychological heuristic 2082:results from an unfair 1839:Internalized oppression 1695:Fighting Discrimination 1685:Fat acceptance movement 1643:Anti-discrimination law 1269:Native American mascots 12293:Social identity threat 12266:Reverse discrimination 12256:Racial color blindness 11736:Violence against women 11716:Sex-selective abortion 10211:Arm's length principle 8529:Gilman, Isaac (2009). 7792:10.2202/1540-8884.1075 7591:Macklem, Tony (2003). 7090:Newman, D. M. (2012). 6940:Psychological Bulletin 6094:Black's Law Dictionary 5247:Thorndike, EL (1920). 4910:Psychological Bulletin 4568:"Anchoring Definition" 4331:Predictably Irrational 3906:about the company. In 3904:non-public information 3478:demand characteristics 3306: 3233:at the expense of the 3125: 2926:that can occur when a 2847: 2771:campaign contributions 2751:campaign contributions 2624:Status quo bias is an 2343: 2173:information processing 1958:Social identity threat 1931:Reverse discrimination 1921:Racial color blindness 1381:Violence against women 1361:Sex-selective abortion 49: 12590:Theories of deduction 12261:Religious intolerance 12221:Political correctness 12051:Intersex human rights 11999:Cultural assimilation 11681:Religious persecution 11445:Disability hate crime 11230:Jewish / Antisemitism 10002:Arab–Israeli conflict 9729:Social influence bias 9674:Out-group homogeneity 9050:. Accessed June 2011. 8230:10.1258/rsmmlj.75.1.3 7867:10.1353/lit.2006.0051 7501:10.1176/ajp.141.4.499 7409:Although we speak of 6834:Kadi, Joanna (1996). 6532:Hamilton, Alexander. 5860:Psychological Studies 5023:Plous, Scott (1993). 4901:Funder, D.C. (1987). 4317:Thinking and Deciding 3766:Agenda-setting theory 3523:Full text on net bias 3351:, and other forms of 3301: 3156:, political opinion, 3112: 2834: 2637:Conflicts of interest 2417:Framing involves the 2379:attitude polarization 2329: 1926:Religious intolerance 1886:Political correctness 1710:Intersex human rights 1658:Cultural assimilation 1326:Religious persecution 1090:Disability hate crime 867:Jewish / Antisemitism 40: 32:Bias (disambiguation) 11666:Political repression 10675:Anti-left handedness 10665:Anti-intellectualism 10121:Conflict of interest 9644:Mere-exposure effect 9574:Extrinsic incentives 9520:Selective perception 9330:Psychological Review 8755:. pp. 265–326. 7530:Sociology in Modules 7424:Loftus, Elizabeth F. 6903:on December 5, 2008. 6490:"Entangling the Web" 6302:on February 24, 2007 6272:on 26 September 2010 5809:Myers, D.G. (2015). 5679:. 12 November 2011. 5677:www.joshuakennon.com 5555:The Jewish Chronicle 5190:Long-Crowell, Erin. 5176:Goffman, E. (1974). 4355:Psychological Review 4291:Cognitive Psychology 3745:, and pressure from 3420:scientific community 3373:substantive equality 3369:equality of outcomes 3361:workplace inequality 3217:Class discrimination 2924:political corruption 2864:or individuals from 2801:social psychologists 2643:Conflict of interest 2387:illusory correlation 2201:. According to this 2098:The word appears to 1311:Political repression 296:Anti-left handedness 286:Anti-intellectualism 30:For other uses, see 12417:Philosophical logic 12169:Historical eugenics 11706:Segregation academy 11686:Religious terrorism 11475:Enemy of the people 11383:Anti-LGBTQ rhetoric 10902:Jehovah's Witnesses 10795:Perpetual foreigner 10270:Medical ghostwriter 9869:Social desirability 9764:von Restorff effect 9639:Mean world syndrome 9614:Hostile attribution 9154:The Washington Post 8747:Harris, D. 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(2008). 3968:implicit stereotype 3958:implicit stereotype 3621:Driving while black 3615:Driving while black 3501:sense of obligation 3460:Experimenter's bias 3039:double-blind system 2882:socioeconomic power 2787:In-group favoritism 2419:social construction 2383:belief perseverance 2309:actor-observer bias 1834:Historical eugenics 1351:Segregation academy 1331:Religious terrorism 1120:Enemy of the people 1028:Anti-LGBTQ rhetoric 531:Jehovah's Witnesses 416:Perpetual foreigner 12481:Unity of opposites 12081:Social integration 12076:Self-determination 12066:Racial integration 12014:Diversity training 12004:Cultural pluralism 11979:Affirmative action 11879:Racial segregation 11789:Crime of apartheid 11691:Religious violence 11194:Indigenous people 10599:Sexual orientation 10170:Regulatory capture 9784:Statistical biases 9562:Curse of knowledge 9309:on August 31, 2015 9061:Stephens, Mitchell 9022:Gatekeeping Theory 8963:2015-10-16 at the 8423:10.1093/ndt/gfg247 8322:. 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(2007). 3702:Media manipulation 3588:literature reviews 3424:anecdotal evidence 3385:Biases in academia 3307: 3126: 3065:empirical research 2974:Statistical biases 2914:Regulatory capture 2848: 2763:secret commissions 2608:consumer decisions 2453:, a collection of 2344: 1740:Social integration 1735:Self-determination 1725:Racial integration 1673:Diversity training 1663:Cultural pluralism 1638:Affirmative action 1530:Racial segregation 1440:Crime of apartheid 1336:Religious violence 831:Indigenous people 212:Sexual orientation 50: 12661: 12660: 12513:List of fallacies 12498:Explanatory power 12425:Critical thinking 12383: 12382: 12251:Racism by country 12179:Intersectionality 12164:Heteronormativity 11963:Voter suppression 11711:Sexual harassment 11510:Forced conversion 11430:Cultural genocide 11093:African Americans 10912:post–Cold War era 10897:Eastern Orthodoxy 10660:Anti-drug addicts 10655:Anti-homelessness 10582:Scientific racism 10438: 10437: 10290:Pharmacovigilance 10087: 10086: 9724:Social comparison 9505:Choice-supportive 9102:978-0-7619-6250-2 9074:978-0-19-518991-9 9065:A History of News 8994:978-0-531-16722-9 8909:(17): 3407–3427. 8673:(8746): 867–872. 8383:10.4065/79.8.1001 8169:978-0-205-60999-4 8162:. Prentice Hall. 8041:978-0-495-59533-5 7908:978-0-674-07448-4 7640:978-1-135-94131-4 7606:978-0-521-82682-2 7539:978-0-07-802677-5 7471:978-0-19-513181-9 7441:978-0-0707-1931-6 7404:978-0-1953-7522-0 7371:978-0-631-21681-0 7358:Johnson, Allan G. 7340:978-1-9331-1644-0 7317:978-0-3133-3646-1 7288:978-0-230-62509-9 7261:978-0-00-718399-9 7237:978-0-19-103747-4 7224:Hornsby, Jennifer 7184:978-1-4522-6602-2 7155:978-1-4051-7190-8 7132:978-0-19-989153-5 7101:978-1-4129-8729-5 6853:978-0-89608-548-0 6624:978-0-19-157844-1 6140:Social psychology 6040:978-0-309-13188-9 5447:(9/10): 461–465. 4152:The APPEA Journal 4053:Personal equation 4004:Psychology portal 3984:Anthony Greenwald 3908:various countries 3859:that are able to 3832:Bias in education 3539:academic journals 3454:Experimenter bias 3380:Contextual biases 3345:sexual harassment 3237:, or vice versa. 2980:Bias (statistics) 2928:regulatory agency 2904:Regulatory issues 2846:in September 2013 2837:tobacco lobbyists 2570:Self-serving bias 2564:Self-serving bias 2532:confirmation bias 2435:political leaders 2348:Confirmation bias 2322:Confirmation bias 2313:self-serving bias 2263:gambler's fallacy 2197:encountered when 2053: 2052: 1916:Racism by country 1844:Intersectionality 1829:Heteronormativity 1614:Voter suppression 1356:Sexual harassment 1155:Forced conversion 1075:Cultural genocide 730:African Americans 541:post–Cold War era 526:Eastern Orthodoxy 281:Anti-drug addicts 276:Anti-homelessness 195:Scientific racism 16:(Redirected from 12696: 12643:Platonic realism 12410: 12403: 12396: 12387: 12386: 12373: 12372: 12363: 12362: 12303:Social privilege 12288:Social exclusion 12216:Police brutality 12137:Multiculturalism 12107:Amatonormativity 11938:Social exclusion 11774:Age of candidacy 11574:Homeless dumping 11480:Ethnic cleansing 10465: 10458: 10451: 10442: 10441: 10428: 10427: 10418: 10417: 10401:Taken for a Ride 10295:Political ethics 10243:Follow the money 10114: 10107: 10100: 10091: 10090: 9884:Systematic error 9839:Omitted-variable 9754:Trait ascription 9594:Frog pond effect 9422:Cognitive biases 9406: 9399: 9392: 9383: 9382: 9372: 9371: 9345: 9325: 9319: 9318: 9316: 9314: 9293: 9287: 9286: 9266: 9260: 9259: 9257: 9245: 9236: 9233: 9227: 9226: 9224: 9223: 9214:. Archived from 9204: 9198: 9197: 9195: 9193: 9177: 9171: 9170: 9168: 9166: 9144: 9138: 9137: 9135: 9133: 9113: 9107: 9106: 9085: 9079: 9078: 9057: 9051: 9042: 9036: 9035: 9017: 9011: 9010: 9002: 8996: 8974: 8968: 8955: 8949: 8941: 8935: 8934: 8896: 8890: 8889: 8887: 8886: 8880: 8869: 8865:"Victim Blaming" 8861: 8855: 8854: 8818: 8812: 8811: 8810:. 9 August 2023. 8800: 8794: 8793: 8791: 8790: 8775: 8769: 8768: 8766: 8764: 8744: 8738: 8737: 8707: 8701: 8700: 8682: 8656: 8650: 8643: 8637: 8636: 8626: 8624:10.3310/hta14080 8602: 8596: 8595: 8559: 8550: 8549: 8547: 8546: 8537:. Archived from 8526: 8520: 8519: 8509: 8477: 8471: 8470: 8465:. Archived from 8442: 8436: 8435: 8425: 8401: 8395: 8394: 8377:(8): 1001–1006. 8362: 8353: 8352: 8350: 8349: 8334: 8328: 8327: 8312: 8306: 8305: 8295: 8263: 8257: 8256: 8254: 8248:. Archived from 8215: 8206: 8200: 8199: 8183: 8174: 8173: 8153: 8147: 8146: 8144: 8143: 8137: 8131:. Archived from 8106: 8098:Krimsky, Sheldon 8094: 8088: 8087: 8067: 8058: 8057: 8055: 8053: 8025: 8019: 8018: 7990: 7984: 7983: 7971: 7965: 7964: 7946:10.1037/a0017538 7929: 7923: 7922: 7921: 7920: 7892: 7886: 7885: 7850: 7844: 7843: 7842: 7841: 7835: 7828: 7817: 7811: 7810: 7774: 7765: 7764: 7763: 7762: 7728: 7696: 7690: 7689: 7687: 7685: 7673: 7667: 7662: 7656: 7655: 7649: 7647: 7620: 7611: 7610: 7588: 7582: 7581: 7579: 7577: 7562: 7556: 7550: 7544: 7543: 7527: 7519: 7513: 7512: 7482: 7476: 7475: 7457: 7451: 7448: 7433: 7415: 7386: 7382: 7378: 7353: 7351: 7347: 7325: 7299: 7296: 7265: 7253: 7241: 7218: 7216: 7214: 7198: 7195: 7169: 7166: 7162: 7136: 7115: 7109: 7108: 7087: 7081: 7078: 7072: 7059: 7053: 7052: 7032: 7026: 7025: 7018: 7016: 7007:. Archived from 6997: 6991: 6990: 6962: 6956: 6955: 6935: 6929: 6911: 6905: 6904: 6889: 6883: 6882: 6880: 6878: 6864: 6858: 6857: 6841: 6831: 6825: 6824: 6812: 6806: 6790: 6784: 6774: 6768: 6755: 6749: 6748: 6746: 6744: 6729: 6720: 6719: 6717: 6702: 6692: 6674: 6665: 6659: 6647: 6641: 6640: 6638: 6636: 6608: 6602: 6601: 6599: 6598: 6580: 6574: 6568: 6562: 6556: 6554: 6552: 6551: 6545: 6538: 6529: 6523: 6509: 6503: 6488:Timothy B. Lee, 6486: 6480: 6479: 6477: 6476: 6447: 6441: 6440: 6438: 6436: 6427:. Investopedia. 6421: 6415: 6414: 6412: 6410: 6391: 6385: 6384: 6369: 6363: 6362: 6360: 6358: 6339: 6333: 6332: 6317: 6311: 6310: 6308: 6307: 6298:. Archived from 6288: 6282: 6281: 6279: 6277: 6268:. Archived from 6255: 6249: 6236: 6230: 6229: 6227: 6225: 6211: 6205: 6204: 6202: 6200: 6186: 6180: 6179: 6149: 6143: 6136: 6130: 6116: 6110: 6109: 6107: 6105: 6086: 6080: 6079: 6062:(24): 2893–289. 6051: 6045: 6044: 6027:Washington, D.C. 6018: 6012: 6011: 5985: 5965: 5959: 5958: 5938: 5932: 5931: 5919: 5913: 5912: 5894: 5874: 5868: 5867: 5855: 5849: 5848: 5820: 5814: 5807: 5801: 5800: 5798: 5797: 5781: 5775: 5774: 5754: 5748: 5747: 5727: 5721: 5720: 5718: 5717: 5698: 5692: 5691: 5689: 5688: 5669: 5663: 5662: 5642: 5636: 5635: 5615: 5609: 5608: 5606: 5604: 5588: 5582: 5581: 5569: 5563: 5562: 5546: 5540: 5539: 5521: 5501: 5495: 5494: 5492: 5490: 5471: 5465: 5464: 5436: 5430: 5429: 5422:10.1037/h0076472 5401: 5395: 5394: 5378: 5372: 5371: 5369: 5346: 5320: 5311: 5305: 5304: 5302: 5300: 5286: 5280: 5279: 5277: 5276: 5265:10.1037/h0071663 5244: 5238: 5237: 5235: 5233: 5224:. Investopedia. 5218: 5212: 5211: 5209: 5207: 5187: 5181: 5174: 5168: 5167: 5139: 5133: 5132: 5104: 5098: 5091:Tuchman, Barbara 5088: 5082: 5081: 5053: 5047: 5046: 5030: 5020: 5014: 5013: 5011: 5010: 4990: 4984: 4983: 4981: 4979: 4960: 4954: 4947: 4941: 4940: 4938: 4907: 4898: 4892: 4891: 4855: 4849: 4842: 4836: 4833: 4827: 4826: 4814: 4808: 4807: 4795: 4789: 4788: 4786: 4785: 4770: 4764: 4763: 4746: 4740: 4739: 4737: 4736: 4716: 4710: 4709: 4681: 4675: 4655: 4649: 4648: 4646: 4599: 4590: 4584: 4583: 4581: 4579: 4570:. Investopedia. 4564: 4558: 4557: 4555: 4553: 4534: 4528: 4527: 4499: 4493: 4492: 4484: 4478: 4477: 4469: 4463: 4462: 4410: 4404: 4403: 4401: 4370: 4352: 4342: 4336: 4326: 4320: 4313: 4307: 4306: 4286: 4280: 4279: 4271: 4265: 4264: 4256: 4250: 4249: 4241: 4235: 4234: 4232: 4230: 4215: 4209: 4208: 4206: 4204: 4185: 4176: 4175: 4147: 4138: 4137: 4120:(204): 247–256. 4109: 4068:Source criticism 4063:Scholarly method 4023:Detection theory 4013:Algorithmic bias 4006: 4001: 4000: 3999: 3976:social cognition 3853:machine learning 3826:Educational bias 3654:Racial profiling 3648:Racial profiling 3634:African American 3630:racial profiling 3574:Publication bias 3568:Publication bias 3513:publication bias 3466:science research 3391:Statistical bias 3263:on the basis of 3225:on the basis of 2963:crowd psychology 2803:, and linked to 2735:sweetheart deals 2699:rights in action 2665:improper actions 2582:processes to be 2423:social phenomena 2282:Attribution bias 2276:Attribution bias 2199:making decisions 2140:Cognitive biases 2127:via the game of 2080:Statistical bias 2076:systematic error 2045: 2038: 2031: 1968:Social privilege 1953:Social exclusion 1881:Police brutality 1802:Multiculturalism 1774:Amatonormativity 1589:Social exclusion 1425:Age of candidacy 1219:Homeless dumping 1125:Ethnic cleansing 75: 52: 51: 21: 12704: 12703: 12699: 12698: 12697: 12695: 12694: 12693: 12664: 12663: 12662: 12657: 12628:Logical atomism 12584: 12477:Socratic method 12428: 12419: 12414: 12384: 12379: 12351: 12226:Polyculturalism 12122:Civil liberties 12090: 12071:Reappropriation 11972:Countermeasures 11967: 11896:Racial steering 11862:Numerus clausus 11766: 11760: 11485:Ethnic conflict 11420:Corrective rape 11371: 11011: 10858: 10750:HIV/AIDS stigma 10618: 10567:Mental disorder 10505: 10474: 10469: 10439: 10434: 10406: 10353: 10314: 10221:Business ethics 10194: 10180:Self-regulation 10155:Insider trading 10123: 10118: 10088: 10083: 10064: 10038: 9903: 9778: 9759:Turkey illusion 9527:Compassion fade 9424: 9415: 9410: 9380: 9375: 9343:10.1.1.411.2919 9326: 9322: 9312: 9310: 9295: 9294: 9290: 9267: 9263: 9246: 9239: 9234: 9230: 9221: 9219: 9206: 9205: 9201: 9191: 9189: 9178: 9174: 9164: 9162: 9145: 9141: 9131: 9129: 9116:Sadker, David. 9114: 9110: 9103: 9086: 9082: 9075: 9058: 9054: 9043: 9039: 9032: 9018: 9014: 9003: 8999: 8976:Ann Heinrichs, 8975: 8971: 8965:Wayback Machine 8956: 8952: 8942: 8938: 8897: 8893: 8884: 8882: 8878: 8867: 8863: 8862: 8858: 8819: 8815: 8802: 8801: 8797: 8788: 8786: 8776: 8772: 8762: 8760: 8745: 8741: 8708: 8704: 8657: 8653: 8644: 8640: 8603: 8599: 8560: 8553: 8544: 8542: 8527: 8523: 8478: 8474: 8443: 8439: 8402: 8398: 8363: 8356: 8347: 8345: 8338:"Types of Bias" 8336: 8335: 8331: 8316:Anders Sandberg 8313: 8309: 8264: 8260: 8252: 8213: 8207: 8203: 8184: 8177: 8170: 8154: 8150: 8141: 8139: 8135: 8104: 8095: 8091: 8084: 8068: 8061: 8051: 8049: 8042: 8026: 8022: 7991: 7987: 7972: 7968: 7930: 7926: 7918: 7916: 7909: 7893: 7889: 7851: 7847: 7839: 7837: 7833: 7826: 7818: 7814: 7775: 7768: 7760: 7758: 7697: 7693: 7683: 7681: 7674: 7670: 7663: 7659: 7645: 7643: 7641: 7621: 7614: 7607: 7589: 7585: 7575: 7573: 7563: 7559: 7551: 7547: 7540: 7520: 7516: 7483: 7479: 7472: 7458: 7454: 7442: 7405: 7380: 7376: 7372: 7349: 7345: 7341: 7318: 7304:Sears, James T. 7294: 7289: 7262: 7238: 7219: 7212: 7210: 7193: 7185: 7164: 7160: 7156: 7133: 7116: 7112: 7102: 7088: 7084: 7079: 7075: 7069:Wayback Machine 7060: 7056: 7033: 7029: 7014: 7012: 6999: 6998: 6994: 6963: 6959: 6936: 6932: 6914:Farrell, Warren 6912: 6908: 6891: 6890: 6886: 6876: 6874: 6866: 6865: 6861: 6854: 6844:South End Press 6832: 6828: 6813: 6809: 6804:Wayback Machine 6791: 6787: 6775: 6771: 6765:Wayback Machine 6756: 6752: 6742: 6740: 6731: 6730: 6723: 6715: 6672: 6666: 6662: 6657:Wayback Machine 6648: 6644: 6634: 6632: 6625: 6609: 6605: 6596: 6594: 6589:. Dummies.com. 6581: 6577: 6564: 6563: 6559: 6549: 6547: 6543: 6536: 6530: 6526: 6520:Wayback Machine 6510: 6506: 6497:Wayback Machine 6487: 6483: 6474: 6472: 6449: 6448: 6444: 6434: 6432: 6423: 6422: 6418: 6408: 6406: 6393: 6392: 6388: 6371: 6370: 6366: 6356: 6354: 6341: 6340: 6336: 6319: 6318: 6314: 6305: 6303: 6290: 6289: 6285: 6275: 6273: 6257: 6256: 6252: 6246:Wayback Machine 6237: 6233: 6223: 6221: 6213: 6212: 6208: 6198: 6196: 6188: 6187: 6183: 6150: 6146: 6137: 6133: 6127:Wayback Machine 6117: 6113: 6103: 6101: 6088: 6087: 6083: 6052: 6048: 6041: 6019: 6015: 5983:10.1.1.632.3193 5966: 5962: 5939: 5935: 5920: 5916: 5892:10.1.1.559.7984 5875: 5871: 5856: 5852: 5821: 5817: 5808: 5804: 5795: 5793: 5784: 5782: 5778: 5755: 5751: 5728: 5724: 5715: 5713: 5706:Right Attitudes 5700: 5699: 5695: 5686: 5684: 5671: 5670: 5666: 5643: 5639: 5616: 5612: 5602: 5600: 5589: 5585: 5570: 5566: 5547: 5543: 5519:10.1.1.173.2288 5502: 5498: 5488: 5486: 5473: 5472: 5468: 5437: 5433: 5402: 5398: 5379: 5375: 5367: 5318: 5312: 5308: 5298: 5296: 5288: 5287: 5283: 5274: 5272: 5245: 5241: 5231: 5229: 5220: 5219: 5215: 5205: 5203: 5188: 5184: 5175: 5171: 5140: 5136: 5105: 5101: 5089: 5085: 5054: 5050: 5043: 5021: 5017: 5008: 5006: 4991: 4987: 4977: 4975: 4962: 4961: 4957: 4948: 4944: 4936: 4905: 4899: 4895: 4856: 4852: 4843: 4839: 4834: 4830: 4815: 4811: 4796: 4792: 4783: 4781: 4772: 4771: 4767: 4748: 4747: 4743: 4734: 4732: 4717: 4713: 4682: 4678: 4666:Wayback Machine 4657:Edward Teach, " 4656: 4652: 4644: 4597: 4591: 4587: 4577: 4575: 4566: 4565: 4561: 4551: 4549: 4536: 4535: 4531: 4500: 4496: 4485: 4481: 4470: 4466: 4411: 4407: 4399: 4368:10.1.1.174.4404 4350: 4343: 4339: 4327: 4323: 4314: 4310: 4287: 4283: 4272: 4268: 4257: 4253: 4242: 4238: 4228: 4226: 4217: 4216: 4212: 4202: 4200: 4187: 4186: 4179: 4164:10.1071/aj15032 4148: 4141: 4110: 4106: 4102: 4097: 4002: 3997: 3995: 3992: 3980:Mahzarin Banaji 3960: 3954: 3940:), or to rig a 3926: 3918:Main articles: 3916: 3880: 3878:Insider trading 3874: 3872:Insider trading 3849: 3843: 3834: 3828: 3823: 3802: 3796: 3787: 3781: 3775:will increase. 3768: 3762: 3704: 3696:Main articles: 3694: 3692:Biases in media 3682: 3676: 3664:law enforcement 3656: 3650: 3623: 3617: 3612: 3576: 3570: 3531: 3525: 3496: 3490: 3462: 3456: 3414:to shape their 3410:allowing their 3404: 3398: 3393: 3387: 3382: 3377: 3376: 3365:formal equality 3357:gender identity 3353:sexual violence 3319:based on one's 3295: 3287: 3279: 3273: 3249: 3243: 3219: 3213: 3204: 3198: 3149: 3137:Main articles: 3135: 3107: 3101: 3089:sexual behavior 3057: 3049:Main articles: 3047: 3027: 3021: 3013: 3007: 2982: 2976: 2951: 2945: 2936:interest groups 2932:public interest 2916: 2908:Main articles: 2906: 2854: 2844:Kartika Liotard 2835:Box offered by 2829: 2789: 2783: 2683: 2677: 2645: 2639: 2622: 2620:Status quo bias 2616: 2614:Status quo bias 2572: 2566: 2540:brand marketing 2505: 2497:Main articles: 2495: 2445:, framing is a 2415: 2407:Main articles: 2403: 2350: 2336:Charles Dickens 2324: 2284: 2278: 2259:roulette wheels 2247:rationalization 2239: 2233: 2225:Main articles: 2223: 2189:Anchoring is a 2187: 2181: 2152: 2144:Main articles: 2142: 2137: 2096: 2049: 2020: 2019: 2018: 2017: 2016: 1891:Polyculturalism 1787:Civil liberties 1761: 1753: 1752: 1751: 1750: 1749: 1730:Reappropriation 1630: 1629:Countermeasures 1622: 1621: 1620: 1619: 1618: 1547:Racial steering 1513:Numerus clausus 1417: 1409: 1408: 1407: 1406: 1405: 1130:Ethnic conflict 1065:Corrective rape 1020: 1012: 1011: 1010: 1009: 1008: 655: 644: 643: 642: 641: 640: 493: 483: 482: 481: 480: 479: 371:HIV/AIDS stigma 243: 235: 234: 233: 232: 231: 180:Mental disorder 122: 114: 113: 112: 111: 110: 83: 35: 28: 23: 22: 15: 12: 11: 5: 12702: 12692: 12691: 12686: 12681: 12676: 12659: 12658: 12656: 12655: 12650: 12645: 12640: 12635: 12630: 12625: 12620: 12615: 12610: 12605: 12600: 12598:Constructivism 12594: 12592: 12586: 12585: 12583: 12582: 12577: 12572: 12567: 12562: 12557: 12552: 12547: 12542: 12537: 12532: 12527: 12522: 12517: 12516: 12515: 12505: 12500: 12495: 12490: 12485: 12484: 12483: 12465: 12460: 12455: 12450: 12445: 12440: 12434: 12432: 12430:informal logic 12421: 12420: 12413: 12412: 12405: 12398: 12390: 12381: 12380: 12378: 12377: 12367: 12356: 12353: 12352: 12350: 12349: 12344: 12343: 12342: 12332: 12327: 12322: 12321: 12320: 12315: 12310: 12300: 12295: 12290: 12285: 12280: 12275: 12274: 12273: 12271:Reverse racism 12263: 12258: 12253: 12248: 12243: 12241:Prisoner abuse 12238: 12233: 12231:Power distance 12228: 12223: 12218: 12213: 12208: 12203: 12198: 12197: 12196: 12186: 12181: 12176: 12171: 12166: 12161: 12156: 12151: 12149:Ethnic penalty 12146: 12145: 12144: 12142:Neurodiversity 12139: 12129: 12127:Dehumanization 12124: 12119: 12117:Cisnormativity 12114: 12109: 12104: 12098: 12096: 12095:Related topics 12092: 12091: 12089: 12088: 12083: 12078: 12073: 12068: 12063: 12058: 12053: 12048: 12043: 12038: 12033: 12028: 12023: 12018: 12017: 12016: 12006: 12001: 11996: 11991: 11986: 11981: 11975: 11973: 11969: 11968: 11966: 11965: 11960: 11955: 11953:State religion 11950: 11945: 11940: 11935: 11934: 11933: 11928: 11923: 11918: 11908: 11903: 11898: 11893: 11892: 11891: 11889:Nuremberg Laws 11886: 11876: 11871: 11866: 11858: 11853: 11848: 11843: 11838: 11833: 11831:Ghetto benches 11828: 11826:Gerrymandering 11823: 11818: 11813: 11811:Gender pay gap 11808: 11807: 11806: 11801: 11791: 11786: 11781: 11776: 11770: 11768: 11765:Discriminatory 11762: 11761: 11759: 11758: 11753: 11748: 11743: 11738: 11733: 11728: 11723: 11718: 11713: 11708: 11703: 11698: 11693: 11688: 11683: 11678: 11673: 11668: 11663: 11658: 11653: 11648: 11643: 11642: 11641: 11636: 11631: 11621: 11616: 11611: 11606: 11601: 11596: 11594:Lavender scare 11591: 11589:Kill Haole Day 11586: 11584:Indian rolling 11581: 11576: 11571: 11566: 11561: 11560: 11559: 11549: 11544: 11543: 11542: 11532: 11527: 11522: 11517: 11512: 11507: 11502: 11497: 11492: 11487: 11482: 11477: 11472: 11470:Eliminationism 11467: 11462: 11457: 11452: 11447: 11442: 11437: 11432: 11427: 11422: 11417: 11412: 11407: 11405:Cancel culture 11402: 11397: 11392: 11391: 11390: 11379: 11377: 11376:Manifestations 11373: 11372: 11370: 11369: 11364: 11359: 11354: 11349: 11344: 11339: 11334: 11329: 11324: 11319: 11314: 11309: 11304: 11299: 11294: 11289: 11284: 11279: 11274: 11272:Middle Eastern 11269: 11264: 11259: 11254: 11249: 11244: 11239: 11238: 11237: 11227: 11222: 11217: 11212: 11211: 11210: 11205: 11200: 11192: 11187: 11182: 11177: 11172: 11167: 11162: 11157: 11152: 11147: 11142: 11137: 11132: 11127: 11122: 11117: 11112: 11107: 11106: 11105: 11100: 11095: 11085: 11080: 11075: 11074: 11073: 11068: 11063: 11053: 11048: 11043: 11038: 11033: 11028: 11022: 11020: 11013: 11012: 11010: 11009: 11007:Zoroastrianism 11004: 10999: 10994: 10989: 10984: 10983: 10982: 10972: 10971: 10970: 10969: 10968: 10963: 10958: 10953: 10938: 10937: 10936: 10934:Untouchability 10931: 10921: 10916: 10915: 10914: 10909: 10904: 10899: 10894: 10884: 10879: 10874: 10868: 10866: 10860: 10859: 10857: 10856: 10851: 10846: 10845: 10844: 10839: 10834: 10824: 10823: 10822: 10817: 10807: 10802: 10797: 10792: 10787: 10782: 10777: 10772: 10767: 10762: 10760:Leprosy stigma 10757: 10752: 10747: 10742: 10737: 10732: 10727: 10722: 10717: 10712: 10707: 10702: 10697: 10692: 10687: 10682: 10677: 10672: 10667: 10662: 10657: 10652: 10647: 10642: 10637: 10632: 10626: 10624: 10620: 10619: 10617: 10616: 10611: 10606: 10601: 10596: 10591: 10586: 10585: 10584: 10579: 10569: 10564: 10559: 10554: 10549: 10544: 10539: 10534: 10529: 10524: 10519: 10513: 10511: 10507: 10506: 10504: 10503: 10498: 10493: 10488: 10482: 10480: 10476: 10475: 10472:Discrimination 10468: 10467: 10460: 10453: 10445: 10436: 10435: 10433: 10432: 10422: 10411: 10408: 10407: 10405: 10404: 10397: 10390: 10383: 10376: 10369: 10361: 10359: 10355: 10354: 10352: 10351: 10344: 10337: 10330: 10322: 10320: 10316: 10315: 10313: 10312: 10307: 10305:Revolving door 10302: 10300:Political bias 10297: 10292: 10287: 10282: 10277: 10272: 10267: 10266: 10265: 10258:Medical ethics 10255: 10250: 10245: 10240: 10233: 10228: 10223: 10218: 10213: 10208: 10202: 10200: 10196: 10195: 10193: 10192: 10187: 10182: 10177: 10172: 10167: 10162: 10157: 10152: 10147: 10142: 10137: 10131: 10129: 10125: 10124: 10117: 10116: 10109: 10102: 10094: 10085: 10084: 10082: 10081: 10076: 10069: 10066: 10065: 10063: 10062: 10057: 10052: 10046: 10044: 10043:Bias reduction 10040: 10039: 10037: 10036: 10031: 10026: 10021: 10019:Political bias 10016: 10011: 10010: 10009: 10004: 9999: 9994: 9989: 9984: 9979: 9974: 9964: 9959: 9954: 9949: 9947:Infrastructure 9944: 9939: 9934: 9929: 9922: 9917: 9911: 9909: 9905: 9904: 9902: 9901: 9896: 9891: 9886: 9881: 9876: 9871: 9866: 9864:Self-selection 9861: 9856: 9851: 9846: 9841: 9836: 9831: 9826: 9821: 9816: 9815: 9814: 9804: 9799: 9794: 9788: 9786: 9780: 9779: 9777: 9776: 9771: 9766: 9761: 9756: 9751: 9746: 9741: 9736: 9731: 9726: 9721: 9716: 9711: 9706: 9701: 9699:Pro-innovation 9696: 9691: 9686: 9684:Overton window 9681: 9676: 9671: 9666: 9661: 9656: 9651: 9646: 9641: 9636: 9631: 9626: 9621: 9616: 9611: 9606: 9601: 9596: 9591: 9586: 9581: 9576: 9571: 9566: 9565: 9564: 9554: 9552:Dunning–Kruger 9549: 9544: 9539: 9534: 9529: 9524: 9523: 9522: 9512: 9507: 9502: 9497: 9492: 9491: 9490: 9480: 9475: 9470: 9469: 9468: 9466:Correspondence 9463: 9461:Actor–observer 9453: 9448: 9443: 9438: 9433: 9427: 9425: 9420: 9417: 9416: 9409: 9408: 9401: 9394: 9386: 9379: 9378:External links 9376: 9374: 9373: 9320: 9288: 9261: 9255:10.1.1.19.5466 9237: 9228: 9199: 9172: 9139: 9108: 9101: 9089:Thompson, John 9080: 9073: 9052: 9037: 9031:978-0415981392 9030: 9012: 8997: 8969: 8950: 8936: 8891: 8856: 8813: 8795: 8784:The New Yorker 8770: 8739: 8720:(4): 343–353. 8702: 8651: 8638: 8597: 8570:(9341): 1256. 8551: 8521: 8492:(4): 351–355. 8472: 8469:on 2011-07-19. 8437: 8396: 8354: 8329: 8318:(2007-01-14). 8307: 8258: 8255:on 2013-05-21. 8224:(Pt 1): 3–12. 8201: 8175: 8168: 8148: 8115:(4): 566–587. 8089: 8083:979-8862902785 8082: 8059: 8040: 8020: 8001:(1–2): 51–63. 7985: 7966: 7940:(4): 219–231, 7924: 7907: 7887: 7845: 7812: 7766: 7711:(3): 297–350, 7691: 7668: 7657: 7639: 7612: 7605: 7583: 7557: 7545: 7538: 7514: 7495:(4): 499–503. 7477: 7470: 7452: 7450: 7449: 7440: 7416: 7412: 7403: 7391:Lorber, Judith 7387: 7370: 7354: 7339: 7326: 7316: 7300: 7287: 7275:Scruton, Roger 7271: 7260: 7243: 7236: 7220: 7200: 7183: 7170: 7154: 7138: 7131: 7110: 7100: 7082: 7073: 7054: 7027: 6992: 6973:(2): 186–201. 6957: 6930: 6906: 6884: 6859: 6852: 6838:Thinking Class 6826: 6807: 6785: 6769: 6750: 6721: 6660: 6642: 6623: 6603: 6575: 6557: 6524: 6504: 6481: 6459:. 2014-10-06. 6442: 6416: 6399:YourDictionary 6386: 6364: 6334: 6312: 6283: 6250: 6231: 6206: 6181: 6162:(2): 201–211. 6144: 6131: 6111: 6096:. 2011-11-04. 6081: 6046: 6039: 6013: 5960: 5949:(1): 125–137. 5933: 5914: 5885:(2): 229–239. 5869: 5850: 5815: 5802: 5776: 5749: 5722: 5708:. 2010-05-01. 5693: 5664: 5637: 5610: 5591:Jones, Nancy. 5583: 5564: 5541: 5528:10.1086/519499 5496: 5466: 5431: 5396: 5373: 5306: 5281: 5239: 5213: 5182: 5169: 5134: 5115:(3): 225–256. 5099: 5083: 5064:(2): 175–220. 5048: 5041: 5015: 4985: 4955: 4942: 4893: 4850: 4837: 4828: 4809: 4790: 4765: 4758:. 2011-08-19. 4741: 4711: 4676: 4650: 4585: 4559: 4529: 4494: 4479: 4464: 4405: 4361:(4): 650–669. 4344:For instance: 4337: 4321: 4308: 4297:(3): 430–454. 4281: 4266: 4251: 4236: 4210: 4177: 4139: 4103: 4101: 4098: 4096: 4095: 4094: 4093: 4088: 4083: 4078: 4070: 4065: 4060: 4055: 4050: 4045: 4040: 4035: 4030: 4025: 4020: 4015: 4009: 4008: 4007: 3991: 3988: 3956:Main article: 3953: 3950: 3915: 3912: 3884:public company 3876:Main article: 3873: 3870: 3847:Inductive bias 3845:Main article: 3842: 3841:Inductive bias 3839: 3830:Main article: 3827: 3824: 3822: 3821:Other contexts 3819: 3800:Sensationalism 3798:Main article: 3795: 3794:Sensationalism 3792: 3783:Main article: 3780: 3777: 3764:Main article: 3761: 3760:Agenda setting 3758: 3754:printing press 3712:news producers 3693: 3690: 3680:Victim blaming 3678:Main article: 3675: 3674:Victim blaming 3672: 3652:Main article: 3649: 3646: 3619:Main article: 3616: 3613: 3611: 3608: 3572:Main article: 3569: 3566: 3527:Main article: 3524: 3521: 3517:reporting bias 3492:Main article: 3489: 3486: 3458:Main article: 3455: 3452: 3428:self-selection 3400:Main article: 3397: 3394: 3386: 3383: 3381: 3378: 3317:discrimination 3296: 3288: 3286: 3283: 3275:Main article: 3272: 3269: 3261:discrimination 3245:Main article: 3242: 3239: 3223:discrimination 3215:Main article: 3212: 3209: 3200:Main article: 3197: 3194: 3134: 3131: 3105:Selection bias 3103:Main article: 3100: 3099:Selection bias 3097: 3051:Reporting bias 3046: 3043: 3023:Main article: 3020: 3017: 3009:Main article: 3006: 3003: 2991:expected value 2978:Main article: 2975: 2972: 2947:Main article: 2944: 2941: 2905: 2902: 2870:constituencies 2858:administrators 2850:Main article: 2828: 2825: 2805:group conflict 2785:Main article: 2782: 2779: 2679:Main article: 2676: 2673: 2641:Main article: 2638: 2635: 2626:emotional bias 2618:Main article: 2615: 2612: 2568:Main article: 2565: 2562: 2494: 2491: 2469:, concepts of 2467:mate selection 2451:interpretation 2402: 2399: 2391:overconfidence 2346:Main article: 2323: 2320: 2280:Main article: 2277: 2274: 2237:Hindsight bias 2222: 2219: 2183:Main article: 2180: 2177: 2157:social reality 2146:Cognitive bias 2141: 2138: 2136: 2133: 2095: 2092: 2051: 2050: 2048: 2047: 2040: 2033: 2025: 2022: 2021: 2015: 2014: 2009: 2008: 2007: 1997: 1992: 1987: 1986: 1985: 1980: 1975: 1965: 1960: 1955: 1950: 1945: 1940: 1939: 1938: 1936:Reverse racism 1928: 1923: 1918: 1913: 1908: 1906:Prisoner abuse 1903: 1898: 1896:Power distance 1893: 1888: 1883: 1878: 1873: 1868: 1863: 1862: 1861: 1851: 1846: 1841: 1836: 1831: 1826: 1821: 1816: 1814:Ethnic penalty 1811: 1810: 1809: 1807:Neurodiversity 1804: 1794: 1792:Dehumanization 1789: 1784: 1782:Cisnormativity 1779: 1776: 1771: 1765: 1764: 1763: 1762: 1760:Related topics 1759: 1758: 1755: 1754: 1748: 1747: 1742: 1737: 1732: 1727: 1722: 1717: 1712: 1707: 1702: 1697: 1692: 1687: 1682: 1677: 1676: 1675: 1665: 1660: 1655: 1650: 1645: 1640: 1634: 1633: 1632: 1631: 1628: 1627: 1624: 1623: 1617: 1616: 1611: 1606: 1604:State religion 1601: 1596: 1591: 1586: 1585: 1584: 1579: 1574: 1569: 1559: 1554: 1549: 1544: 1543: 1542: 1540:Nuremberg Laws 1537: 1527: 1522: 1517: 1509: 1504: 1499: 1494: 1489: 1484: 1482:Ghetto benches 1479: 1477:Gerrymandering 1474: 1469: 1464: 1462:Gender pay gap 1459: 1458: 1457: 1452: 1442: 1437: 1432: 1427: 1421: 1420: 1419: 1418: 1415: 1414: 1411: 1410: 1404: 1403: 1398: 1393: 1388: 1383: 1378: 1373: 1368: 1363: 1358: 1353: 1348: 1343: 1338: 1333: 1328: 1323: 1318: 1313: 1308: 1303: 1298: 1293: 1288: 1287: 1286: 1281: 1276: 1266: 1261: 1256: 1251: 1246: 1241: 1239:Lavender scare 1236: 1234:Kill Haole Day 1231: 1229:Indian rolling 1226: 1221: 1216: 1211: 1206: 1205: 1204: 1194: 1189: 1188: 1187: 1177: 1172: 1167: 1162: 1157: 1152: 1147: 1142: 1137: 1132: 1127: 1122: 1117: 1115:Eliminationism 1112: 1107: 1102: 1097: 1092: 1087: 1082: 1077: 1072: 1067: 1062: 1057: 1052: 1050:Cancel culture 1047: 1042: 1037: 1036: 1035: 1024: 1023: 1022: 1021: 1019:Manifestations 1018: 1017: 1014: 1013: 1007: 1006: 1001: 996: 991: 986: 981: 976: 971: 966: 961: 956: 951: 946: 941: 936: 931: 926: 921: 916: 911: 909:Middle Eastern 906: 901: 896: 891: 886: 881: 876: 875: 874: 864: 859: 854: 849: 848: 847: 842: 837: 829: 824: 819: 814: 809: 804: 799: 794: 789: 784: 779: 774: 769: 764: 759: 754: 749: 744: 743: 742: 737: 732: 722: 717: 712: 711: 710: 705: 700: 690: 685: 680: 675: 670: 665: 659: 658: 657: 656: 650: 649: 646: 645: 639: 638: 636:Zoroastrianism 633: 628: 623: 618: 613: 612: 611: 601: 600: 599: 598: 597: 592: 587: 582: 567: 566: 565: 563:Untouchability 560: 550: 545: 544: 543: 538: 533: 528: 523: 513: 508: 503: 497: 496: 495: 494: 489: 488: 485: 484: 478: 477: 472: 467: 466: 465: 460: 455: 445: 444: 443: 438: 428: 423: 418: 413: 408: 403: 398: 393: 388: 383: 381:Leprosy stigma 378: 373: 368: 363: 358: 353: 348: 343: 338: 333: 328: 323: 318: 313: 308: 303: 298: 293: 288: 283: 278: 273: 268: 263: 258: 253: 247: 246: 245: 244: 241: 240: 237: 236: 230: 229: 224: 219: 214: 209: 204: 199: 198: 197: 192: 182: 177: 172: 167: 162: 157: 152: 147: 142: 137: 132: 126: 125: 124: 123: 120: 119: 116: 115: 109: 108: 103: 98: 93: 87: 86: 85: 84: 81: 80: 77: 76: 68: 67: 65:Discrimination 61: 60: 26: 9: 6: 4: 3: 2: 12701: 12690: 12687: 12685: 12682: 12680: 12677: 12675: 12672: 12671: 12669: 12654: 12651: 12649: 12646: 12644: 12641: 12639: 12636: 12634: 12631: 12629: 12626: 12624: 12621: 12619: 12616: 12614: 12611: 12609: 12606: 12604: 12601: 12599: 12596: 12595: 12593: 12591: 12587: 12581: 12578: 12576: 12573: 12571: 12568: 12566: 12563: 12561: 12558: 12556: 12553: 12551: 12548: 12546: 12543: 12541: 12538: 12536: 12533: 12531: 12528: 12526: 12523: 12521: 12518: 12514: 12511: 12510: 12509: 12506: 12504: 12501: 12499: 12496: 12494: 12491: 12489: 12486: 12482: 12478: 12474: 12471: 12470: 12469: 12466: 12464: 12461: 12459: 12456: 12454: 12451: 12449: 12446: 12444: 12441: 12439: 12436: 12435: 12433: 12431: 12426: 12422: 12418: 12411: 12406: 12404: 12399: 12397: 12392: 12391: 12388: 12376: 12368: 12366: 12358: 12357: 12354: 12348: 12345: 12341: 12338: 12337: 12336: 12333: 12331: 12328: 12326: 12325:Social stigma 12323: 12319: 12316: 12314: 12311: 12309: 12306: 12305: 12304: 12301: 12299: 12296: 12294: 12291: 12289: 12286: 12284: 12281: 12279: 12276: 12272: 12269: 12268: 12267: 12264: 12262: 12259: 12257: 12254: 12252: 12249: 12247: 12244: 12242: 12239: 12237: 12234: 12232: 12229: 12227: 12224: 12222: 12219: 12217: 12214: 12212: 12209: 12207: 12204: 12202: 12199: 12195: 12192: 12191: 12190: 12187: 12185: 12182: 12180: 12177: 12175: 12172: 12170: 12167: 12165: 12162: 12160: 12157: 12155: 12152: 12150: 12147: 12143: 12140: 12138: 12135: 12134: 12133: 12130: 12128: 12125: 12123: 12120: 12118: 12115: 12113: 12110: 12108: 12105: 12103: 12100: 12099: 12097: 12093: 12087: 12084: 12082: 12079: 12077: 12074: 12072: 12069: 12067: 12064: 12062: 12059: 12057: 12054: 12052: 12049: 12047: 12044: 12042: 12039: 12037: 12034: 12032: 12029: 12027: 12024: 12022: 12019: 12015: 12012: 12011: 12010: 12007: 12005: 12002: 12000: 11997: 11995: 11992: 11990: 11987: 11985: 11982: 11980: 11977: 11976: 11974: 11970: 11964: 11961: 11959: 11956: 11954: 11951: 11949: 11948:State atheism 11946: 11944: 11941: 11939: 11936: 11932: 11929: 11927: 11924: 11922: 11919: 11917: 11914: 11913: 11912: 11909: 11907: 11904: 11902: 11899: 11897: 11894: 11890: 11887: 11885: 11884:Jim Crow laws 11882: 11881: 11880: 11877: 11875: 11872: 11870: 11869:One-drop rule 11867: 11865: 11863: 11859: 11857: 11854: 11852: 11849: 11847: 11844: 11842: 11839: 11837: 11834: 11832: 11829: 11827: 11824: 11822: 11819: 11817: 11814: 11812: 11809: 11805: 11802: 11800: 11797: 11796: 11795: 11792: 11790: 11787: 11785: 11784:Blood quantum 11782: 11780: 11777: 11775: 11772: 11771: 11769: 11763: 11757: 11754: 11752: 11749: 11747: 11744: 11742: 11739: 11737: 11734: 11732: 11731:Victimisation 11729: 11727: 11726:Trans bashing 11724: 11722: 11719: 11717: 11714: 11712: 11709: 11707: 11704: 11702: 11699: 11697: 11696:Religious war 11694: 11692: 11689: 11687: 11684: 11682: 11679: 11677: 11676:Racialization 11674: 11672: 11669: 11667: 11664: 11662: 11659: 11657: 11654: 11652: 11649: 11647: 11644: 11640: 11637: 11635: 11632: 11630: 11627: 11626: 11625: 11622: 11620: 11617: 11615: 11612: 11610: 11607: 11605: 11602: 11600: 11597: 11595: 11592: 11590: 11587: 11585: 11582: 11580: 11577: 11575: 11572: 11570: 11567: 11565: 11562: 11558: 11555: 11554: 11553: 11550: 11548: 11547:Glass ceiling 11545: 11541: 11538: 11537: 11536: 11533: 11531: 11528: 11526: 11523: 11521: 11518: 11516: 11513: 11511: 11508: 11506: 11503: 11501: 11498: 11496: 11493: 11491: 11490:Ethnic hatred 11488: 11486: 11483: 11481: 11478: 11476: 11473: 11471: 11468: 11466: 11463: 11461: 11458: 11456: 11453: 11451: 11448: 11446: 11443: 11441: 11438: 11436: 11433: 11431: 11428: 11426: 11425:Counter-jihad 11423: 11421: 11418: 11416: 11413: 11411: 11408: 11406: 11403: 11401: 11398: 11396: 11393: 11389: 11386: 11385: 11384: 11381: 11380: 11378: 11374: 11368: 11365: 11363: 11360: 11358: 11355: 11353: 11350: 11348: 11345: 11343: 11340: 11338: 11335: 11333: 11330: 11328: 11325: 11323: 11320: 11318: 11315: 11313: 11310: 11308: 11305: 11303: 11300: 11298: 11295: 11293: 11290: 11288: 11285: 11283: 11280: 11278: 11275: 11273: 11270: 11268: 11265: 11263: 11260: 11258: 11255: 11253: 11250: 11248: 11245: 11243: 11240: 11236: 11233: 11232: 11231: 11228: 11226: 11223: 11221: 11218: 11216: 11213: 11209: 11208:United States 11206: 11204: 11201: 11199: 11196: 11195: 11193: 11191: 11188: 11186: 11183: 11181: 11178: 11176: 11173: 11171: 11168: 11166: 11163: 11161: 11158: 11156: 11153: 11151: 11148: 11146: 11143: 11141: 11138: 11136: 11133: 11131: 11128: 11126: 11123: 11121: 11118: 11116: 11113: 11111: 11108: 11104: 11101: 11099: 11096: 11094: 11091: 11090: 11089: 11086: 11084: 11081: 11079: 11076: 11072: 11071:United States 11069: 11067: 11064: 11062: 11059: 11058: 11057: 11054: 11052: 11049: 11047: 11044: 11042: 11039: 11037: 11034: 11032: 11029: 11027: 11024: 11023: 11021: 11019: 11014: 11008: 11005: 11003: 11000: 10998: 10995: 10993: 10992:Protestantism 10990: 10988: 10985: 10981: 10978: 10977: 10976: 10973: 10967: 10964: 10962: 10959: 10957: 10954: 10952: 10949: 10948: 10947: 10944: 10943: 10942: 10939: 10935: 10932: 10930: 10927: 10926: 10925: 10922: 10920: 10917: 10913: 10910: 10908: 10907:LDS or Mormon 10905: 10903: 10900: 10898: 10895: 10893: 10890: 10889: 10888: 10885: 10883: 10880: 10878: 10875: 10873: 10870: 10869: 10867: 10865: 10861: 10855: 10852: 10850: 10847: 10843: 10840: 10838: 10837:Transmisogyny 10835: 10833: 10830: 10829: 10828: 10825: 10821: 10818: 10816: 10813: 10812: 10811: 10808: 10806: 10803: 10801: 10798: 10796: 10793: 10791: 10788: 10786: 10783: 10781: 10778: 10776: 10773: 10771: 10768: 10766: 10763: 10761: 10758: 10756: 10753: 10751: 10748: 10746: 10743: 10741: 10740:Gerontophobia 10738: 10736: 10733: 10731: 10728: 10726: 10723: 10721: 10718: 10716: 10713: 10711: 10708: 10706: 10703: 10701: 10698: 10696: 10693: 10691: 10688: 10686: 10683: 10681: 10678: 10676: 10673: 10671: 10670:Anti-intersex 10668: 10666: 10663: 10661: 10658: 10656: 10653: 10651: 10648: 10646: 10645:Anti-albinism 10643: 10641: 10638: 10636: 10633: 10631: 10628: 10627: 10625: 10621: 10615: 10612: 10610: 10607: 10605: 10602: 10600: 10597: 10595: 10592: 10590: 10587: 10583: 10580: 10578: 10575: 10574: 10573: 10570: 10568: 10565: 10563: 10560: 10558: 10555: 10553: 10550: 10548: 10545: 10543: 10540: 10538: 10535: 10533: 10530: 10528: 10525: 10523: 10520: 10518: 10515: 10514: 10512: 10508: 10502: 10499: 10497: 10494: 10492: 10489: 10487: 10486:Institutional 10484: 10483: 10481: 10477: 10473: 10466: 10461: 10459: 10454: 10452: 10447: 10446: 10443: 10431: 10423: 10421: 10413: 10412: 10409: 10403: 10402: 10398: 10396: 10395: 10391: 10389: 10388: 10384: 10382: 10381: 10377: 10375: 10374: 10370: 10368: 10367: 10363: 10362: 10360: 10356: 10350: 10349: 10345: 10343: 10342: 10338: 10336: 10335: 10331: 10329: 10328: 10324: 10323: 10321: 10317: 10311: 10308: 10306: 10303: 10301: 10298: 10296: 10293: 10291: 10288: 10286: 10283: 10281: 10278: 10276: 10273: 10271: 10268: 10264: 10261: 10260: 10259: 10256: 10254: 10251: 10249: 10246: 10244: 10241: 10239: 10238: 10234: 10232: 10229: 10227: 10224: 10222: 10219: 10217: 10214: 10212: 10209: 10207: 10204: 10203: 10201: 10197: 10191: 10188: 10186: 10185:State capture 10183: 10181: 10178: 10176: 10173: 10171: 10168: 10166: 10163: 10161: 10158: 10156: 10153: 10151: 10148: 10146: 10143: 10141: 10138: 10136: 10133: 10132: 10130: 10126: 10122: 10115: 10110: 10108: 10103: 10101: 10096: 10095: 10092: 10080: 10077: 10075: 10071: 10070: 10067: 10061: 10058: 10056: 10053: 10051: 10048: 10047: 10045: 10041: 10035: 10032: 10030: 10027: 10025: 10022: 10020: 10017: 10015: 10012: 10008: 10005: 10003: 10000: 9998: 9997:United States 9995: 9993: 9990: 9988: 9985: 9983: 9980: 9978: 9975: 9973: 9972:False balance 9970: 9969: 9968: 9965: 9963: 9960: 9958: 9955: 9953: 9950: 9948: 9945: 9943: 9940: 9938: 9935: 9933: 9930: 9928: 9927: 9923: 9921: 9918: 9916: 9913: 9912: 9910: 9906: 9900: 9897: 9895: 9892: 9890: 9887: 9885: 9882: 9880: 9877: 9875: 9872: 9870: 9867: 9865: 9862: 9860: 9857: 9855: 9852: 9850: 9847: 9845: 9844:Participation 9842: 9840: 9837: 9835: 9832: 9830: 9827: 9825: 9822: 9820: 9817: 9813: 9812:Psychological 9810: 9809: 9808: 9805: 9803: 9800: 9798: 9795: 9793: 9790: 9789: 9787: 9785: 9781: 9775: 9772: 9770: 9767: 9765: 9762: 9760: 9757: 9755: 9752: 9750: 9747: 9745: 9742: 9740: 9737: 9735: 9732: 9730: 9727: 9725: 9722: 9720: 9717: 9715: 9712: 9710: 9707: 9705: 9702: 9700: 9697: 9695: 9692: 9690: 9687: 9685: 9682: 9680: 9677: 9675: 9672: 9670: 9667: 9665: 9662: 9660: 9657: 9655: 9652: 9650: 9647: 9645: 9642: 9640: 9637: 9635: 9632: 9630: 9627: 9625: 9622: 9620: 9617: 9615: 9612: 9610: 9607: 9605: 9602: 9600: 9597: 9595: 9592: 9590: 9587: 9585: 9582: 9580: 9579:Fading affect 9577: 9575: 9572: 9570: 9567: 9563: 9560: 9559: 9558: 9555: 9553: 9550: 9548: 9545: 9543: 9540: 9538: 9535: 9533: 9530: 9528: 9525: 9521: 9518: 9517: 9516: 9513: 9511: 9508: 9506: 9503: 9501: 9498: 9496: 9493: 9489: 9486: 9485: 9484: 9481: 9479: 9476: 9474: 9471: 9467: 9464: 9462: 9459: 9458: 9457: 9454: 9452: 9449: 9447: 9444: 9442: 9439: 9437: 9434: 9432: 9429: 9428: 9426: 9423: 9418: 9414: 9407: 9402: 9400: 9395: 9393: 9388: 9387: 9384: 9369: 9365: 9361: 9357: 9353: 9349: 9344: 9339: 9335: 9331: 9324: 9313:September 23, 9308: 9304: 9300: 9299: 9292: 9284: 9280: 9276: 9272: 9265: 9256: 9251: 9244: 9242: 9232: 9218:on 2018-06-28 9217: 9213: 9209: 9203: 9187: 9183: 9176: 9160: 9156: 9155: 9150: 9143: 9127: 9123: 9119: 9112: 9104: 9098: 9094: 9090: 9084: 9076: 9070: 9066: 9062: 9056: 9049: 9046: 9041: 9033: 9027: 9023: 9016: 9008: 9001: 8995: 8991: 8987: 8986:0-531-16722-4 8983: 8979: 8973: 8966: 8962: 8959: 8954: 8947: 8946: 8940: 8932: 8928: 8924: 8920: 8916: 8912: 8908: 8904: 8903: 8895: 8877: 8873: 8866: 8860: 8852: 8848: 8844: 8840: 8836: 8832: 8828: 8824: 8817: 8809: 8805: 8799: 8785: 8781: 8774: 8758: 8754: 8750: 8743: 8735: 8731: 8727: 8723: 8719: 8715: 8714: 8706: 8698: 8694: 8690: 8686: 8681: 8676: 8672: 8668: 8667: 8662: 8655: 8648: 8642: 8634: 8630: 8625: 8620: 8616: 8612: 8608: 8601: 8593: 8589: 8585: 8581: 8577: 8573: 8569: 8565: 8558: 8556: 8541:on 2011-02-21 8540: 8536: 8532: 8525: 8517: 8513: 8508: 8503: 8499: 8495: 8491: 8487: 8483: 8476: 8468: 8464: 8460: 8456: 8452: 8448: 8441: 8433: 8429: 8424: 8419: 8415: 8411: 8407: 8400: 8392: 8388: 8384: 8380: 8376: 8372: 8368: 8361: 8359: 8343: 8339: 8333: 8325: 8321: 8317: 8311: 8303: 8299: 8294: 8289: 8285: 8281: 8277: 8273: 8269: 8262: 8251: 8247: 8243: 8239: 8235: 8231: 8227: 8223: 8219: 8212: 8205: 8197: 8193: 8189: 8182: 8180: 8171: 8165: 8161: 8160: 8152: 8138:on 2012-10-17 8134: 8130: 8126: 8122: 8118: 8114: 8110: 8103: 8099: 8093: 8085: 8079: 8075: 8074: 8066: 8064: 8047: 8043: 8037: 8033: 8032: 8024: 8016: 8012: 8008: 8004: 8000: 7996: 7989: 7981: 7977: 7970: 7963: 7959: 7955: 7951: 7947: 7943: 7939: 7935: 7928: 7914: 7910: 7904: 7900: 7899: 7891: 7884: 7880: 7876: 7872: 7868: 7864: 7860: 7856: 7849: 7836:on 2013-12-17 7832: 7825: 7824: 7816: 7809: 7805: 7801: 7797: 7793: 7789: 7785: 7781: 7773: 7771: 7756: 7752: 7748: 7744: 7740: 7736: 7732: 7727: 7722: 7718: 7714: 7710: 7706: 7702: 7695: 7679: 7672: 7666: 7661: 7654: 7642: 7636: 7633:. p. 6. 7632: 7628: 7627: 7619: 7617: 7608: 7602: 7598: 7594: 7587: 7572: 7568: 7561: 7555: 7549: 7541: 7535: 7531: 7526: 7518: 7510: 7506: 7502: 7498: 7494: 7490: 7489: 7481: 7473: 7467: 7463: 7456: 7447: 7443: 7437: 7432: 7431: 7425: 7421: 7417: 7414: 7410: 7406: 7400: 7396: 7392: 7388: 7385: 7373: 7367: 7363: 7359: 7355: 7352: 7342: 7336: 7332: 7327: 7324: 7319: 7313: 7309: 7305: 7301: 7298: 7290: 7284: 7280: 7276: 7272: 7269: 7263: 7257: 7252: 7251: 7244: 7239: 7233: 7229: 7225: 7221: 7209: 7205: 7197: 7191: 7186: 7180: 7176: 7171: 7168: 7157: 7151: 7147: 7143: 7139: 7134: 7128: 7124: 7119: 7118: 7114: 7107: 7103: 7097: 7093: 7086: 7077: 7070: 7066: 7063: 7058: 7050: 7046: 7042: 7038: 7031: 7024: 7023: 7011:on 2015-08-29 7010: 7006: 7004: 6996: 6988: 6984: 6980: 6976: 6972: 6968: 6961: 6953: 6949: 6945: 6941: 6934: 6927: 6923: 6919: 6915: 6910: 6902: 6898: 6894: 6888: 6877:September 30, 6873: 6869: 6863: 6855: 6849: 6845: 6840: 6839: 6830: 6822: 6818: 6811: 6805: 6801: 6798: 6794: 6793:William James 6789: 6783: 6779: 6773: 6766: 6762: 6759: 6754: 6738: 6734: 6728: 6726: 6714: 6710: 6706: 6701: 6696: 6691: 6686: 6682: 6678: 6671: 6664: 6658: 6654: 6651: 6646: 6630: 6626: 6620: 6616: 6615: 6607: 6592: 6588: 6585: 6579: 6572: 6567: 6561: 6555:, World Bank. 6542: 6535: 6528: 6521: 6517: 6514: 6508: 6501: 6498: 6494: 6491: 6485: 6470: 6466: 6462: 6458: 6457: 6452: 6446: 6430: 6426: 6420: 6404: 6400: 6396: 6390: 6382: 6378: 6374: 6368: 6352: 6348: 6344: 6338: 6330: 6326: 6322: 6316: 6301: 6297: 6293: 6287: 6271: 6267: 6265: 6260: 6254: 6247: 6243: 6240: 6235: 6224:September 24, 6220: 6216: 6210: 6195: 6191: 6185: 6177: 6173: 6169: 6165: 6161: 6157: 6156: 6148: 6141: 6135: 6128: 6124: 6121: 6115: 6104:September 30, 6099: 6095: 6091: 6085: 6077: 6073: 6069: 6065: 6061: 6057: 6050: 6042: 6036: 6032: 6028: 6024: 6017: 6009: 6005: 6001: 5997: 5993: 5989: 5984: 5979: 5975: 5971: 5964: 5956: 5952: 5948: 5944: 5937: 5929: 5925: 5918: 5910: 5906: 5902: 5898: 5893: 5888: 5884: 5880: 5873: 5865: 5861: 5854: 5846: 5842: 5838: 5834: 5830: 5826: 5819: 5812: 5806: 5791: 5787: 5780: 5772: 5768: 5765:(6): 369–73. 5764: 5760: 5753: 5745: 5741: 5737: 5733: 5726: 5711: 5707: 5703: 5697: 5682: 5678: 5674: 5668: 5660: 5656: 5653:(3): 203–17. 5652: 5648: 5641: 5633: 5629: 5626:(2): 123–37. 5625: 5621: 5614: 5598: 5594: 5587: 5579: 5575: 5568: 5560: 5556: 5552: 5545: 5537: 5533: 5529: 5525: 5520: 5515: 5512:(3): 301–14. 5511: 5507: 5500: 5484: 5480: 5476: 5470: 5462: 5458: 5454: 5450: 5446: 5442: 5435: 5427: 5423: 5419: 5416:(3): 410–14. 5415: 5411: 5407: 5400: 5392: 5388: 5384: 5377: 5366: 5362: 5358: 5354: 5350: 5345: 5344:2027.42/92158 5340: 5336: 5332: 5329:(4): 250–56. 5328: 5324: 5317: 5310: 5299:September 30, 5295: 5291: 5285: 5270: 5266: 5262: 5258: 5254: 5250: 5243: 5232:September 30, 5227: 5223: 5222:"Halo Effect" 5217: 5206:September 30, 5201: 5198:. study.com. 5197: 5193: 5186: 5179: 5173: 5165: 5161: 5157: 5153: 5149: 5145: 5138: 5130: 5126: 5122: 5118: 5114: 5110: 5103: 5096: 5092: 5087: 5079: 5075: 5071: 5067: 5063: 5059: 5052: 5044: 5042:9780070504776 5038: 5034: 5029: 5028: 5019: 5004: 5000: 4996: 4989: 4973: 4969: 4965: 4959: 4952: 4946: 4935: 4931: 4927: 4923: 4919: 4915: 4911: 4904: 4897: 4889: 4885: 4881: 4877: 4873: 4869: 4865: 4861: 4854: 4847: 4841: 4832: 4824: 4820: 4813: 4805: 4801: 4794: 4779: 4775: 4769: 4761: 4757: 4756: 4751: 4745: 4730: 4726: 4722: 4715: 4707: 4703: 4699: 4695: 4691: 4687: 4680: 4673: 4672: 4667: 4663: 4660: 4654: 4643: 4639: 4635: 4631: 4627: 4623: 4619: 4615: 4611: 4607: 4603: 4596: 4589: 4578:September 29, 4573: 4569: 4563: 4552:September 29, 4547: 4543: 4542:Science Daily 4539: 4533: 4525: 4521: 4517: 4513: 4509: 4505: 4498: 4490: 4483: 4475: 4468: 4460: 4456: 4452: 4448: 4444: 4440: 4436: 4432: 4428: 4424: 4420: 4416: 4409: 4398: 4394: 4390: 4386: 4382: 4378: 4374: 4369: 4364: 4360: 4356: 4349: 4341: 4334: 4332: 4325: 4318: 4312: 4304: 4300: 4296: 4292: 4285: 4277: 4270: 4262: 4255: 4247: 4240: 4224: 4220: 4214: 4198: 4194: 4192: 4184: 4182: 4173: 4169: 4165: 4161: 4157: 4153: 4146: 4144: 4135: 4131: 4127: 4123: 4119: 4115: 4108: 4104: 4092: 4089: 4087: 4084: 4082: 4079: 4077: 4074: 4073: 4071: 4069: 4066: 4064: 4061: 4059: 4058:Proof (truth) 4056: 4054: 4051: 4049: 4046: 4044: 4041: 4039: 4036: 4034: 4031: 4029: 4026: 4024: 4021: 4019: 4016: 4014: 4011: 4010: 4005: 3994: 3987: 3985: 3981: 3977: 3971: 3969: 3965: 3964:implicit bias 3959: 3952:Implicit bias 3949: 3947: 3943: 3939: 3935: 3931: 3928:In organized 3925: 3921: 3911: 3909: 3905: 3901: 3900:stock options 3897: 3893: 3889: 3885: 3879: 3869: 3867: 3866:Occam's Razor 3862: 3858: 3854: 3848: 3838: 3833: 3818: 3816: 3812: 3808: 3801: 3791: 3786: 3776: 3774: 3767: 3757: 3755: 3750: 3748: 3744: 3740: 3736: 3732: 3727: 3725: 3721: 3717: 3713: 3709: 3703: 3699: 3689: 3687: 3681: 3671: 3669: 3665: 3661: 3655: 3645: 3643: 3639: 3635: 3631: 3627: 3622: 3607: 3605: 3601: 3597: 3593: 3589: 3585: 3581: 3575: 3565: 3563: 3558: 3556: 3555:impact factor 3552: 3548: 3544: 3540: 3536: 3530: 3520: 3518: 3514: 3510: 3506: 3502: 3495: 3485: 3483: 3479: 3475: 3471: 3467: 3461: 3451: 3449: 3445: 3441: 3437: 3433: 3429: 3425: 3421: 3417: 3413: 3409: 3403: 3402:Academic bias 3396:Academic bias 3392: 3374: 3370: 3366: 3362: 3358: 3354: 3350: 3346: 3342: 3338: 3334: 3330: 3326: 3322: 3318: 3314: 3310: 3304: 3300: 3293: 3282: 3278: 3268: 3266: 3262: 3258: 3254: 3248: 3238: 3236: 3232: 3228: 3224: 3218: 3208: 3203: 3193: 3191: 3187: 3183: 3179: 3175: 3171: 3167: 3163: 3159: 3155: 3148: 3147:Cultural bias 3144: 3140: 3130: 3123: 3119: 3115: 3111: 3106: 3096: 3094: 3090: 3086: 3085:personalities 3082: 3077: 3073: 3068: 3066: 3062: 3056: 3052: 3042: 3040: 3036: 3032: 3026: 3016: 3012: 3011:Forecast bias 3005:Forecast bias 3002: 3000: 2996: 2992: 2988: 2981: 2971: 2969: 2964: 2960: 2956: 2950: 2940: 2937: 2933: 2929: 2925: 2920: 2915: 2911: 2901: 2899: 2895: 2891: 2887: 2883: 2879: 2875: 2871: 2867: 2863: 2860:, frequently 2859: 2853: 2845: 2842: 2838: 2833: 2824: 2822: 2818: 2814: 2810: 2806: 2802: 2799:, especially 2798: 2797:psychologists 2794: 2788: 2778: 2776: 2775:criminal acts 2772: 2768: 2764: 2760: 2759:stock options 2756: 2752: 2748: 2744: 2740: 2736: 2732: 2728: 2727:return favors 2724: 2720: 2716: 2712: 2708: 2704: 2700: 2696: 2692: 2688: 2682: 2672: 2670: 2666: 2662: 2658: 2654: 2650: 2644: 2634: 2631: 2627: 2621: 2611: 2609: 2605: 2601: 2597: 2593: 2589: 2585: 2581: 2577: 2571: 2561: 2558: 2556: 2555:Devil's horns 2551: 2549: 2545: 2541: 2537: 2533: 2529: 2524: 2522: 2518: 2514: 2510: 2504: 2500: 2490: 2488: 2484: 2480: 2476: 2472: 2468: 2462: 2460: 2456: 2452: 2448: 2444: 2443:social theory 2440: 2436: 2432: 2428: 2424: 2420: 2414: 2410: 2409:Cultural bias 2405: 2398: 2396: 2392: 2388: 2384: 2380: 2375: 2371: 2367: 2363: 2360:, favor, and 2359: 2355: 2349: 2341: 2337: 2333: 2328: 2319: 2316: 2314: 2310: 2306: 2302: 2298: 2294: 2289: 2283: 2273: 2271: 2266: 2264: 2260: 2256: 2252: 2248: 2244: 2238: 2232: 2228: 2218: 2216: 2212: 2208: 2204: 2200: 2196: 2192: 2186: 2176: 2174: 2170: 2166: 2162: 2161:irrationality 2158: 2151: 2147: 2132: 2130: 2126: 2121: 2119: 2116: 2112: 2109: 2105: 2104:Old Provençal 2101: 2091: 2089: 2085: 2081: 2077: 2073: 2069: 2068:closed-minded 2065: 2061: 2057: 2046: 2041: 2039: 2034: 2032: 2027: 2026: 2024: 2023: 2013: 2010: 2006: 2003: 2002: 2001: 1998: 1996: 1993: 1991: 1990:Social stigma 1988: 1984: 1981: 1979: 1976: 1974: 1971: 1970: 1969: 1966: 1964: 1961: 1959: 1956: 1954: 1951: 1949: 1946: 1944: 1941: 1937: 1934: 1933: 1932: 1929: 1927: 1924: 1922: 1919: 1917: 1914: 1912: 1909: 1907: 1904: 1902: 1899: 1897: 1894: 1892: 1889: 1887: 1884: 1882: 1879: 1877: 1874: 1872: 1869: 1867: 1864: 1860: 1857: 1856: 1855: 1852: 1850: 1847: 1845: 1842: 1840: 1837: 1835: 1832: 1830: 1827: 1825: 1822: 1820: 1817: 1815: 1812: 1808: 1805: 1803: 1800: 1799: 1798: 1795: 1793: 1790: 1788: 1785: 1783: 1780: 1777: 1775: 1772: 1770: 1767: 1766: 1757: 1756: 1746: 1743: 1741: 1738: 1736: 1733: 1731: 1728: 1726: 1723: 1721: 1718: 1716: 1713: 1711: 1708: 1706: 1703: 1701: 1698: 1696: 1693: 1691: 1688: 1686: 1683: 1681: 1678: 1674: 1671: 1670: 1669: 1666: 1664: 1661: 1659: 1656: 1654: 1651: 1649: 1646: 1644: 1641: 1639: 1636: 1635: 1626: 1625: 1615: 1612: 1610: 1607: 1605: 1602: 1600: 1599:State atheism 1597: 1595: 1592: 1590: 1587: 1583: 1580: 1578: 1575: 1573: 1570: 1568: 1565: 1564: 1563: 1560: 1558: 1555: 1553: 1550: 1548: 1545: 1541: 1538: 1536: 1535:Jim Crow laws 1533: 1532: 1531: 1528: 1526: 1523: 1521: 1520:One-drop rule 1518: 1516: 1514: 1510: 1508: 1505: 1503: 1500: 1498: 1495: 1493: 1490: 1488: 1485: 1483: 1480: 1478: 1475: 1473: 1470: 1468: 1465: 1463: 1460: 1456: 1453: 1451: 1448: 1447: 1446: 1443: 1441: 1438: 1436: 1435:Blood quantum 1433: 1431: 1428: 1426: 1423: 1422: 1413: 1412: 1402: 1399: 1397: 1394: 1392: 1389: 1387: 1384: 1382: 1379: 1377: 1376:Victimisation 1374: 1372: 1371:Trans bashing 1369: 1367: 1364: 1362: 1359: 1357: 1354: 1352: 1349: 1347: 1344: 1342: 1341:Religious war 1339: 1337: 1334: 1332: 1329: 1327: 1324: 1322: 1321:Racialization 1319: 1317: 1314: 1312: 1309: 1307: 1304: 1302: 1299: 1297: 1294: 1292: 1289: 1285: 1282: 1280: 1277: 1275: 1272: 1271: 1270: 1267: 1265: 1262: 1260: 1257: 1255: 1252: 1250: 1247: 1245: 1242: 1240: 1237: 1235: 1232: 1230: 1227: 1225: 1222: 1220: 1217: 1215: 1212: 1210: 1207: 1203: 1200: 1199: 1198: 1195: 1193: 1192:Glass ceiling 1190: 1186: 1183: 1182: 1181: 1178: 1176: 1173: 1171: 1168: 1166: 1163: 1161: 1158: 1156: 1153: 1151: 1148: 1146: 1143: 1141: 1138: 1136: 1135:Ethnic hatred 1133: 1131: 1128: 1126: 1123: 1121: 1118: 1116: 1113: 1111: 1108: 1106: 1103: 1101: 1098: 1096: 1093: 1091: 1088: 1086: 1083: 1081: 1078: 1076: 1073: 1071: 1070:Counter-jihad 1068: 1066: 1063: 1061: 1058: 1056: 1053: 1051: 1048: 1046: 1043: 1041: 1038: 1034: 1031: 1030: 1029: 1026: 1025: 1016: 1015: 1005: 1002: 1000: 997: 995: 992: 990: 987: 985: 982: 980: 977: 975: 972: 970: 967: 965: 962: 960: 957: 955: 952: 950: 947: 945: 942: 940: 937: 935: 932: 930: 927: 925: 922: 920: 917: 915: 912: 910: 907: 905: 902: 900: 897: 895: 892: 890: 887: 885: 882: 880: 877: 873: 870: 869: 868: 865: 863: 860: 858: 855: 853: 850: 846: 845:United States 843: 841: 838: 836: 833: 832: 830: 828: 825: 823: 820: 818: 815: 813: 810: 808: 805: 803: 800: 798: 795: 793: 790: 788: 785: 783: 780: 778: 775: 773: 770: 768: 765: 763: 760: 758: 755: 753: 750: 748: 745: 741: 738: 736: 733: 731: 728: 727: 726: 723: 721: 718: 716: 713: 709: 708:United States 706: 704: 701: 699: 696: 695: 694: 691: 689: 686: 684: 681: 679: 676: 674: 671: 669: 666: 664: 661: 660: 654: 648: 647: 637: 634: 632: 629: 627: 624: 622: 621:Protestantism 619: 617: 614: 610: 607: 606: 605: 602: 596: 593: 591: 588: 586: 583: 581: 578: 577: 576: 573: 572: 571: 568: 564: 561: 559: 556: 555: 554: 551: 549: 546: 542: 539: 537: 536:LDS or Mormon 534: 532: 529: 527: 524: 522: 519: 518: 517: 514: 512: 509: 507: 504: 502: 499: 498: 492: 487: 486: 476: 473: 471: 468: 464: 461: 459: 458:Transmisogyny 456: 454: 451: 450: 449: 446: 442: 439: 437: 434: 433: 432: 429: 427: 424: 422: 419: 417: 414: 412: 409: 407: 404: 402: 399: 397: 394: 392: 389: 387: 384: 382: 379: 377: 374: 372: 369: 367: 364: 362: 361:Gerontophobia 359: 357: 354: 352: 349: 347: 344: 342: 339: 337: 334: 332: 329: 327: 324: 322: 319: 317: 314: 312: 309: 307: 304: 302: 299: 297: 294: 292: 291:Anti-intersex 289: 287: 284: 282: 279: 277: 274: 272: 269: 267: 266:Anti-albinism 264: 262: 259: 257: 254: 252: 249: 248: 239: 238: 228: 225: 223: 220: 218: 215: 213: 210: 208: 205: 203: 200: 196: 193: 191: 188: 187: 186: 183: 181: 178: 176: 173: 171: 168: 166: 163: 161: 158: 156: 153: 151: 148: 146: 143: 141: 138: 136: 133: 131: 128: 127: 118: 117: 107: 104: 102: 99: 97: 94: 92: 91:Institutional 89: 88: 79: 78: 74: 70: 69: 66: 63: 62: 58: 54: 53: 47: 43: 39: 33: 19: 12623:Intuitionism 12608:Fictionalism 12457: 12159:Gender-blind 12111: 12046:Human rights 11874:Racial quota 11861: 11841:Jewish quota 11821:Gerontocracy 11816:Gender roles 11794:Disabilities 11779:Blood purity 11751:Wife selling 11741:White flight 11721:Slut-shaming 11701:Scapegoating 11619:Murder music 11292:Palestinians 11235:Anti-Zionism 11103:South Africa 11088:Black people 11066:South Africa 10887:Christianity 10877:Bahåʟí Faith 10805:Sectarianism 10745:Heterosexism 10710:Ephebiphobia 10680:Anti-Masonry 10547:Hair texture 10399: 10392: 10387:Side Effects 10385: 10378: 10371: 10364: 10346: 10339: 10332: 10325: 10275:Moral hazard 10248:Legal ethics 10235: 10215: 10175:Self-dealing 10150:Funding bias 10135:Chinese wall 9957:In education 9924: 9908:Other biases 9894:Verification 9879:Survivorship 9829:Non-response 9802:Healthy user 9744:Substitution 9719:Self-serving 9515:Confirmation 9483:Availability 9431:Acquiescence 9412: 9333: 9329: 9323: 9311:. 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London. 4158:(1): 435. 4114:Philosophy 4100:References 3934:draft pick 3892:securities 3857:algorithms 3807:newsworthy 3735:censorship 3731:government 3716:mass media 3698:Media bias 3668:minorities 3592:hypothesis 3529:FUTON bias 3505:misconduct 3389:See also: 3166:disability 3133:Prejudices 3122:population 3035:controlled 2886:corrupting 2781:Favoritism 2767:promotions 2669:corruption 2630:status quo 2602:, playing 2580:perceptual 2536:appearance 2509:observer's 2475:linguistic 2427:mass media 2370:hypotheses 2354:search for 2340:Uriah Heep 2270:hierophany 2255:card games 2235:See also: 2231:Pareidolia 2213:, so that 2108:Old French 2088:estimation 2000:Stereotype 1995:Speciesism 1876:Oppression 1871:Oikophobia 1769:Allophilia 1745:Toleration 1594:Sodomy law 1487:Internment 1401:Witch-hunt 1279:Blackhawks 1209:Hate group 1197:Hate crime 1170:Gendercide 1160:Freak show 1150:Excellence 1110:Employment 1080:Defamation 1004:Vietnamese 999:Venezuelan 889:Lithuanian 548:Falun Gong 475:Xenophobia 470:Vegaphobia 453:Non-binary 411:Pedophobia 376:Homophobia 190:Skin color 150:Disability 121:Attributes 96:Structural 46:pareidolia 12618:Formalism 12580:Vagueness 12560:Relevance 12555:Reasoning 12468:Dialectic 12443:Ambiguity 12308:Christian 12236:Prejudice 12184:Masculism 12132:Diversity 11926:religious 11901:Redlining 11500:Ethnocide 11460:Education 11352:Ukrainian 11287:Pakistani 11277:Mongolian 11198:Australia 11180:Hungarian 11135:Colombian 11115:Bulgarian 10997:Rastafari 10951:Ahmadiyya 10864:Religious 10842:Trans men 10800:Pregnancy 10735:Gayphobia 10730:Fatphobia 10635:Acephobia 10630:Arophobia 10614:Viewpoint 10206:AllTrials 10055:Debiasing 10034:White hat 10029:Reporting 9942:Inductive 9859:Selection 9819:Lead time 9792:Estimator 9769:Zero-risk 9734:Spotlight 9714:Restraint 9704:Proximity 9689:Precision 9649:Narrative 9604:Hindsight 9589:Frequency 9569:Emotional 9542:Declinism 9473:Authority 9446:Anchoring 9436:Ambiguity 9338:CiteSeerX 9250:CiteSeerX 8851:146368789 8829:: 52–63. 7954:1938-8934 7883:143909432 7875:1542-4286 7800:1540-8884 7780:The Forum 7735:1939-1323 7646:April 20, 7631:Routledge 7117:Sources: 6893:"Lookism" 6868:"Lookism" 6465:0099-9660 6176:0022-4545 6000:0895-5646 5978:CiteSeerX 5930:(3): 242. 5887:CiteSeerX 5845:144756539 5831:: 23–43. 5514:CiteSeerX 5461:141143275 5441:Sex Roles 5353:1939-1315 5164:220652512 4692:(6): 48. 4638:143452957 4524:1041-6080 4455:143452957 4363:CiteSeerX 4221:. 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Index

Unbiased
Bias (disambiguation)

Interpretations of the random patterns of craters on the Moon
pareidolia
a series
Discrimination

Institutional
Structural
Statistical
Taste-based
Age
Caste
Class
Dialect
Disability
Genetic
Hair texture
Height
Language
Looks
Mental disorder
Race / Ethnicity
Skin color
Scientific racism
Rank
Sex
Sexual orientation
Species

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