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Ostrich effect

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dissonance is resolved in different manners in collectivistic cultures compared to individualistic cultures. Furthermore, Wang et al. (2016) shows that loss aversion is higher in individualistic cultures, and Rose & Kitayama (1991) found that collectivistic cultures tend to trust negative feedback and reject positive ones. Individualism appears more in western culture, hinting at the ostrich effect being higher in western cultures. The studies on the ostrich effect are predominantly conducted on western cultures; therefore, future studies must test for potential cultural differences in the ostrich effect.
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This statement shows that when confronted with information that contradicts their beliefs, individuals may experience cognitive dissonance and avoid seeking it to reduce discomfort. This avoidance is the ostrich effect. The opposite, seeking information consistent with your beliefs, is a cognitive bias termed
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Gherzi et al. (2014) studied 617 investors from Barclays Wealth & Management UK. They found no perceivable attempt by investors to ignore or avoid negative information. Instead, they saw that "investors increase their portfolio monitoring following both positive and daily negative market returns,
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is the tendency for people to feel the pain of losses more strongly than the pleasure of equivalent gains. Panidi (2015) looked at the link between loss aversion and the ostrich effect - loss aversion was measured through lottery choices, and the ostrich effect was measured through preventive medical
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Shepherd & Kay (2012) presented participants with a passage. One group read that the US would have oil for 240 more years (positive information), while the other read that supplies would diminish in 40 years (negative information). Afterwards, participants completed a questionnaire to gauge their
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is a state of psychological discomfort that arises when an individual holds two or more conflicting beliefs. Chang et al. (2017) found that when participants ranked reasons on why they did not monitor progress, the main reason was that “information on goal progress would demand a change in beliefs”.
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Chang et al. (2017) also found that some participants exhibited the ostrich effect because they did not trust the information provided. Lack of trust is especially true for negative information; Ilgen et al. (1979) found that people are more likely to trust positive feedback than negative feedback.
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The researchers argued that Gherzi et al. (2014) sample size of 617 investors was too small, one potential reason that most investors exhibited the meerkat effect rather than the ostrich effect. Sicherman et al. (2016) also showed that the ostrich effect appeared more in “men, older investors and
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Sicherman et al. (2016) showed that the sample and demographic moderate the extent that investors exhibited the ostrich effect. In a sample of 100,000, Sicherman et al. (2016) found that 79% of investors showed the ostrich effect while 21% had “anti-ostrich behaviour”, such as the meerkat effect.
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Later, Karlsson et al. (2005) studied investors’ decision-making in Swedish and US markets. They determined that investors from both countries looked up their portfolios more when the market index was increasing (positive information) and less when the index was decreasing (negative information).
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Another moderator for the ostrich effect that has yet to be specifically studied but has been theorised is cultural differences. Culture may impact the ostrich effect as the underlying causes of the ostrich effect are all influenced by culture. Hoshino-Browne et al. (2005) showed that cognitive
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changes after a co-worker is diagnosed with breast cancer. The company had on-site mammograms and removed all barriers to getting them, such as cost and long queues. 70% of eligible women took up the company’s offer of an annual mammogram. However, surprisingly, in the presence of a co-worker
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testing. The study found that higher loss aversion decreases the chance of the decision to do a preventive medical test. Demonstrating that the higher the loss aversion in an individual, the more likely they are to display the ostrich effect by avoiding information on diagnosis.
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diagnosed with breast cancer, women “spatially closer to her in the workplace” are 8% less likely to get a screening. Highlighting that in the presence of potentially negative information, people tend to avoid the chance to receive it.
73:. Consistent with the ostrich effect, participants presented with negative information were more likely to avoid updating their beliefs. Moreover, they found that the part of the brain responsible for this cognitive bias was the left 184:
Additionally, DeBono & Harnish (1988) found that the information's trustability depends on the perceived expertise of the information provider. The higher the perceived expertise, the more likely people trust it.
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An everyday example of the ostrich effect in a financial context is people avoiding checking their bank account balance after spending a lot of money. The studies below explore the ostrich effect through investors in
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Galai & Sade (2003) studied investors' decision-making in Israel’s capital market. They found that investors prefer financial investments where the risk is unreported over those with a similar
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interest in learning about energy depletion. Those who read that energy depletion was an urgent problem and that oil would run out in 40 years were more likely to avoid learning about the issue.
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Research has found that when people feel uninformed about a pressing matter, they may exhibit the ostrich effect. The ostrich effect may explain why people sometimes avoid tackling
719:"The Theory of Cognitive Dissonance: A Current Perspective11This article and all the original work reported in it were supported by a grant from the National Science Foundation." 57:
where people tend to “bury their head in the sand” and avoid potentially negative but useful information, such as feedback on progress, to avoid psychological discomfort.
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evidence of the ostrich effect. Sharot et al. (2012) investigated the differences in positive and negative information when updating existing
1317: 662:"On the perpetuation of ignorance: system dependence, system justification, and the motivated avoidance of sociopolitical information" 754:"Why Do People Act Like the Proverbial Ostrich? Investigating the Reasons That People Provide for Not Monitoring Their Goal Progress" 118:
There are known negative implications of the ostrich effect in healthcare. For example, people with diabetes avoid monitoring their
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profile but with frequently reported risks, saying that investors are willing to pay a premium for "the bliss of ignorance".
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Hoshino-Browne, Etsuko; Zanna, Adam S.; Spencer, Steven J.; Zanna, Mark P.; Kitayama, Shinobu; Lackenbauer, Sandra (2005).
1307: 1312: 532:"Self monitoring of blood glucose in type 2 diabetes: longitudinal qualitative study of patients' perspectives" 390:
Sharot, Tali; Kanai, Ryota; Marston, David; Korn, Christoph W.; Rees, Geraint; Dolan, Raymond J. (2012-10-16).
899:"Source expertise, source attractiveness, and the processing of persuasive information: A functional approach" 215:
behaving more like hyper-vigilant meerkats than head-in-the-sand ostriches". They dubbed this phenomenon the "
74: 1000: 630: 718: 1034:"The meerkat effect: Personality and market returns affect investors' portfolio monitoring behaviour" 266: 167: 126: 349:"The 'Ostrich Effect' and the Relationship between the Liquidity and the Yields of Financial Assets" 1279: 1232: 1185: 965: 840: 610: 512: 469: 372: 276: 1118: 898: 859: 451:"The Ostrich in Us: Selective Attention to Financial Accounts, Income, Spending, and Liquidity" 45:, was originally coined by Galai & Sade (2003). The name comes from the common (but false) 1271: 1224: 1146: 1138: 1099: 1055: 992: 988: 957: 918: 879: 832: 793: 775: 699: 691: 622: 618: 569: 551: 504: 431: 413: 364: 326: 256: 172: 119: 103: 1263: 1216: 1177: 1130: 1089: 1045: 949: 910: 871: 824: 812: 783: 765: 726: 681: 673: 600: 592: 559: 543: 496: 461: 421: 403: 356: 316: 305:"'The Ostrich Problem': Motivated Avoidance or Rejection of Information About Goal Progress" 281: 96: 129:, studying women working at a company to understand how a woman’s propensity to get annual 1302: 1032:
Gherzi, Svetlana; Egan, Daniel; Stewart, Neil; Haisley, Emily; Ayton, Peter (2014-11-01).
1013: 643: 1165: 1119:"On the cultural guises of cognitive dissonance: The case of Easterners and Westerners" 788: 753: 564: 426: 391: 250: 143: 54: 50: 46: 730: 1296: 1189: 614: 516: 473: 376: 271: 192: 1236: 1283: 1076:
Sicherman, Nachum; Loewenstein, George; Seppi, Duane J.; Utkus, Stephen P. (2016).
969: 844: 66: 1204: 547: 130: 17: 1220: 1134: 1050: 1033: 914: 875: 828: 1275: 1228: 1142: 1103: 1059: 961: 922: 883: 836: 779: 770: 695: 555: 508: 417: 368: 330: 81:, participants were more likely to accept the negative information provided. 1251: 661: 489:"The 'Ostrich Effect': Selective Attention to Information about Investments" 408: 1267: 1205:"Culture and the self: Implications for cognition, emotion, and motivation" 1150: 984: 797: 703: 588: 573: 531: 435: 1094: 1077: 596: 147: 985:"Ostrich Effect in Health Care Decisions: Theory and Empirical Evidence" 605: 500: 450: 360: 953: 938:"Advances in prospect theory: Cumulative representation of uncertainty" 321: 304: 216: 686: 488: 348: 1181: 937: 677: 261: 70: 465: 860:"Consequences of individual feedback on behavior in organizations" 487:
Karlsson, Niklas; Seppi, Duane J.; Loewenstein, George F. (2005).
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Banerjee & Zanella highlighted the ostrich effect in avoiding
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Attempt made by investors to avoid negative financial information
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Peel, Elizabeth; Douglas, Margaret; Lawton, Julia (2007-09-06).
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Ilgen, Daniel R.; Fisher, Cynthia D.; Taylor, M. Susan (1979).
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bury their heads in the sand to avoid danger. This effect is a
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Chang, Betty P. I.; Webb, Thomas L.; Benn, Yael (2017-02-08).
813:"Confirmation Bias: A Ubiquitous Phenomenon in Many Guises" 1252:"Dimensionalizing Cultures: The Hofstede Model in Context" 392:"Selectively altering belief formation in the human brain" 717:
Aronson, Elliot (1969-01-01), Berkowitz, Leonard (ed.),
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Webb, Thomas L.; Chang, Betty P. I.; Benn, Yael (2013).
1166:"The Impact of Culture on Loss Aversion: Loss Aversion" 1164:
Wang, Mei; Rieger, Marc Oliver; Hens, Thorsten (2017).
897:DeBono, Kenneth G.; Harnish, Richard J. (1988). 587:Zanella, Giulio; Banerjee, Ritesh (2014-03-14). 1038:Journal of Economic Behavior & Organization 396:Proceedings of the National Academy of Sciences 936:Tversky, Amos; Kahneman, Daniel (1992-10-01). 725:, vol. 4, Academic Press, pp. 1–34, 589:"Experiencing Breast Cancer at the Workplace" 77:- by disrupting this part of the brain with 8: 1203:Markus, Hazel R.; Kitayama, Shinobu (1991). 1123:Journal of Personality and Social Psychology 903:Journal of Personality and Social Psychology 666:Journal of Personality and Social Psychology 723:Advances in Experimental Social Psychology 1256:Online Readings in Psychology and Culture 1093: 1049: 787: 769: 685: 604: 563: 425: 407: 320: 309:Social and Personality Psychology Compass 660:Shepherd, Steven; Kay, Aaron C. (2012). 449:Olafsson, Arna; Pagel, Michaela (2017). 292: 1009: 998: 639: 628: 253:- another article about the same thing 85:Researched contexts & applications 1170:Journal of Behavioral Decision Making 1071: 1069: 1027: 1025: 1023: 747: 745: 7: 655: 653: 458:National Bureau of Economic Research 342: 340: 298: 296: 25: 1040:. Empirical Behavioral Finance. 942:Journal of Risk and Uncertainty 347:Galai, Dan; Sade, Orly (2003). 1250:Hofstede, Geert (2011-12-01). 811:Nickerson, Raymond S. (1998). 1: 983:Panidi, Ksenia (2015-02-01). 864:Journal of Applied Psychology 731:10.1016/s0065-2601(08)60075-1 1318:Metaphors referring to birds 817:Review of General Psychology 1082:Review of Financial Studies 548:10.1136/bmj.39302.444572.DE 1334: 1221:10.1037/0033-295x.98.2.224 1135:10.1037/0022-3514.89.3.294 1051:10.1016/j.jebo.2014.07.013 915:10.1037/0022-3514.55.4.541 876:10.1037/0021-9010.64.4.349 829:10.1037/1089-2680.2.2.175 460:. Cambridge, MA: w23945. 771:10.3389/fpsyg.2017.00152 236:Future research: Culture 61:Neuroscientific evidence 758:Frontiers in Psychology 493:SSRN Electronic Journal 409:10.1073/pnas.1205828109 353:SSRN Electronic Journal 232:wealthier investors”. 1268:10.9707/2307-0919.1014 1008:Cite journal requires 638:Cite journal requires 34: 1078:"Financial Attention" 33: 1209:Psychological Review 597:10.2139/ssrn.2424782 267:Elephant in the room 168:Cognitive dissonance 163:Cognitive dissonance 127:preventive screening 41:, also known as the 501:10.2139/ssrn.772125 402:(42): 17058–17062. 361:10.2139/ssrn.431180 1308:Behavioral finance 1095:10.1093/rfs/hhv073 954:10.1007/BF00122574 322:10.1111/spc3.12071 277:Selective exposure 223:Follow-up research 158:Theories on causes 138:Climate and energy 120:blood sugar levels 35: 987:. Rochester, NY. 591:. Rochester, NY. 257:Confirmation bias 173:confirmation bias 97:financial markets 16:(Redirected from 1325: 1313:Cognitive biases 1288: 1287: 1247: 1241: 1240: 1200: 1194: 1193: 1182:10.1002/bdm.1941 1161: 1155: 1154: 1114: 1108: 1107: 1097: 1073: 1064: 1063: 1053: 1029: 1018: 1017: 1011: 1006: 1004: 996: 980: 974: 973: 933: 927: 926: 894: 888: 887: 855: 849: 848: 808: 802: 801: 791: 773: 749: 740: 739: 738: 737: 714: 708: 707: 689: 678:10.1037/a0026272 657: 648: 647: 641: 636: 634: 626: 608: 584: 578: 577: 567: 527: 521: 520: 484: 478: 477: 455: 446: 440: 439: 429: 411: 387: 381: 380: 344: 335: 334: 324: 300: 282:Voldemort effect 210:Initial findings 148:energy depletion 21: 18:Ostrich strategy 1333: 1332: 1328: 1327: 1326: 1324: 1323: 1322: 1293: 1292: 1291: 1249: 1248: 1244: 1202: 1201: 1197: 1163: 1162: 1158: 1116: 1115: 1111: 1075: 1074: 1067: 1031: 1030: 1021: 1007: 997: 982: 981: 977: 935: 934: 930: 896: 895: 891: 857: 856: 852: 810: 809: 805: 751: 750: 743: 735: 733: 716: 715: 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213: 191: 182: 179:Trustability 166: 152: 141: 124: 117: 108: 101: 93: 64: 42: 38: 36: 1044:: 512–526. 104:risk-return 1297:Categories 736:2023-03-31 687:10012/6813 288:References 131:mammograms 114:Healthcare 1276:2307-0919 1229:1939-1471 1190:147620509 1143:1939-1315 1104:0893-9454 1060:0167-2681 962:1573-0476 923:1939-1315 884:1939-1854 837:1089-2680 780:1664-1078 696:1939-1315 615:153923349 556:0959-8138 517:154954897 509:1556-5068 474:158385626 418:0027-8424 377:154904068 369:1556-5068 331:1751-9004 219:effect". 200:Criticism 65:There is 51:ostriches 1237:13606371 1151:16248715 798:28228740 704:22059846 574:17761996 436:23011798 245:See also 1284:7313352 993:2932181 970:8456150 845:8508954 789:5297323 764:: 152. 623:2424782 565:1971180 427:3479523 217:meerkat 90:Finance 71:beliefs 1303:Adages 1282:  1274:  1235:  1227:  1188:  1149:  1141:  1102:  1058:  991:  968:  960:  921:  882:  843:  835:  796:  786:  778:  702:  694:  621:  613:  572:  562:  554:  515:  507:  472:  434:  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Index

Ostrich strategy

legend
ostriches
cognitive bias
neuroscientific
beliefs
IFG
TMS
financial markets
risk-return
blood sugar levels
preventive screening
mammograms
climate change
energy depletion
Cognitive dissonance
confirmation bias
Loss aversion
meerkat
Ostrich policy
Confirmation bias
Denial
Elephant in the room
Loss aversion
Selective exposure
Voldemort effect


"'The Ostrich Problem': Motivated Avoidance or Rejection of Information About Goal Progress"

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