Editing Bias (section)

===Other contexts===
====Educational bias====
{{main|Bias in education}}
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.<ref name="7forms">{{cite web | last = Sadker | first = David | title = Seven Forms of Bias in Instructional Materials | website = sadker.org | url = http://www.sadker.org/curricularbias.html | access-date = 3 September 2015 | url-status = live | archive-url = https://web.archive.org/web/20151021055904/http://www.sadker.org/curricularbias.html | archive-date = 21 October 2015 }}</ref><ref name="Washpost">{{cite news | last = Strauss | first = Valerie | title = Proposed Texas textbooks are inaccurate, biased and politicized, new report finds | newspaper = [[The Washington Post]] | date = 12 September 2014 | url = https://www.washingtonpost.com/blogs/answer-sheet/wp/2014/09/12/proposed-texas-textbooks-are-inaccurate-biased-and-politicized-new-report-finds/ | access-date = 3 September 2015 | url-status = live | archive-url = https://web.archive.org/web/20150908172705/http://www.washingtonpost.com/blogs/answer-sheet/wp/2014/09/12/proposed-texas-textbooks-are-inaccurate-biased-and-politicized-new-report-finds/ | archive-date = 8 September 2015 }}</ref><ref name="whitewashhist">{{cite web | last = Czitrom | first = Daniel | title = Texas school board whitewashes history | publisher = CNN | date = 22 March 2010 | url = http://edition.cnn.com/2010/OPINION/03/18/czitrom.texas.textbooks/ | access-date = 3 September 2015 | url-status = live | archive-url = https://web.archive.org/web/20150328170047/http://edition.cnn.com/2010/OPINION/03/18/czitrom.texas.textbooks/ | archive-date = 28 March 2015 }}</ref> 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.<ref>{{Cite web|url=http://www.americanmentalhealthfundation.org/|title=How to Get Your Ex Boyfriend Back – Tips to Win Back His Love and Get Him Back|website=www.americanmentalhealthfundation.org|language=en-US|access-date=2017-09-08|archive-date=2018-06-28|archive-url=https://web.archive.org/web/20180628065741/https://www.americanmentalhealthfundation.org/|url-status=dead}}</ref><ref>"Crisis Counseling with Children," Van Ornum and Murdock, 1990, NY: Crossroad/Continuum.</ref>

====Inductive bias====
{{main|Inductive bias}}
Inductive bias occurs within the field of [[machine learning]]. In machine learning one seeks to develop [[algorithm]]s that are able to ''learn'' 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.<ref name=Mitchell1980 /><ref name=DesJardinsandGordon1995>{{cite journal | last1 = DesJardins | first1 = M. | last2 = Gordon | first2 = D. F. | title = Evaluation and selection of biases in machine learning | journal = Machine Learning Journal | volume = 5 | pages = 1–17 | year = 1995 | url = http://citeseer.ist.psu.edu/article/desjardins95evaluation.html | url-status = live | archive-url = https://web.archive.org/web/20090116042751/http://citeseer.ist.psu.edu/article/desjardins95evaluation.html | archive-date = 2009-01-16 }}</ref> The 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.<ref name=Mitchell1980>{{cite report | last = Mitchell | first = T. M. | title = The need for biases in learning generalizations | place = New Brunswick, New Jersey, US | publisher = Rutgers University | series = CBM-TR 5-110 | year = 1980 | citeseerx = 10.1.1.19.5466 }}</ref> 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 [[Occam's Razor]], which assumes that the simplest consistent hypothesis is the best.

====Insider trading====
{{Main|Insider trading}}
Insider trading is the trading of a [[public company]]'s [[stock]] or other [[security (finance)|securities]] (such as [[bond (finance)|bonds]] or [[Option (finance)|stock options]]) by individuals with access to [[market moving information|non-public information]] about the company. In [[Insider trading#Legal differences among jurisdictions|various countries]], trading based on insider information is illegal because it is seen as unfair to other investors who do not have access to the information as the investor with insider information could potentially make far larger profits that a typical investor could make.

====Match fixing====
{{Main|Match fixing|Spot-fixing}}
In organized [[sports]], 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.<ref>{{cite dictionary | title = match-fixing | publisher = [[Oxford University Press|Oxford]] dictionaries | url = http://www.oxforddictionaries.com/definition/english/match-fixing | access-date = September 23, 2015 | url-status = dead | archive-url = https://web.archive.org/web/20150831115837/http://www.oxforddictionaries.com/definition/english/match-fixing | archive-date = August 31, 2015 }}</ref> 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 [[draft pick]], or an easier opponent in a [[Playoffs|playoff]]), or to rig a [[handicap (sports)|handicap]] system. Match-fixing generally refers to fixing the final result of the game. Another form of match-fixing, known as [[spot-fixing]], 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.