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Failure bias

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of people or things that are undergoing such selection process, which means that, in the possibility that there is at least one agent who is interested in the success of the people or things that are going through the selection process, the agent(s) will be interested into keeping the subject out of
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of concentrating on the people or things that failed to make it past some selection process and overlooking those that did, typically because of their lack of visibility. This can lead to false conclusions in several different ways. It is a form of
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the public eye, and thus, to raise the likelihood of the failure bias happening
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In several of these cases, one measure of success is precisely the lack of
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Unsourced material may be challenged and 903:Heuristics in judgment and decision-making 247: 233: 117:Learn how and when to remove this message 935: 228: 51:adding citations to reliable sources 18: 13: 14: 969: 23: 1: 210:Multiple comparisons problem 7: 769:DĂ©formation professionnelle 176: 152: 10: 974: 763:Basking in reflected glory 254: 220:Texas sharpshooter fallacy 911: 893:Cognitive bias mitigation 885: 750: 625: 262: 477:Illusion of transparency 167:fit into this category 943:Sampling (statistics) 845:Arab–Israeli conflict 572:Social influence bias 517:Out-group homogeneity 487:Mere-exposure effect 417:Extrinsic incentives 363:Selective perception 199:Fooled by Randomness 47:improve this article 712:Social desirability 607:von Restorff effect 482:Mean world syndrome 457:Hostile attribution 215:Selection principle 948:Informal fallacies 627:Statistical biases 405:Curse of knowledge 930: 929: 567:Social comparison 348:Choice-supportive 127: 126: 119: 101: 965: 958:Cognitive biases 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Index


cite
sources
improve this article
adding citations to reliable sources
removed
"Failure bias"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message
logical error
selection bias
public awareness
Espionage
crimes
Censorship
Selection bias
Cherry picking
Econometrics
Fooled by Randomness
Meta-analysis
Multiple comparisons problem
Selection principle
Texas sharpshooter fallacy
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t
e

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