Knowledge (XXG)

White hat bias

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67:. They contrasted evidence which implicated these behaviors as risk and protective factors (respectively), comparing the treatment given to evidence for each conclusion. Their analyses confirmed that papers reporting null effects of soft drinks or breast-feeding on obesity were cited significantly less often than expected, and, when cited, were interpreted in ways that mislead readers about the underlying finding. Positive papers were cited more frequently than expected. For instance, of 207 citations of two papers finding no effects of sugared soft drink consumption on obesity, the majority of citations (84% and 66%) were misleadingly positive. 110: 96: 74:
Allison and Cope suggest that science might be protected better from these effects by authors and journals practicing higher standards of probity and humility in citing the literature. Young, Ioannidis and Al-Ubaydli (2008) discuss related concepts, framing scientific information and journals in the
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reanalysis of these data indicated that it was poor studies that found larger effects, and that the industry-funded studies were larger and better run: a finding consistent with a white hat bias, and suggesting that the true effect of sugar-sweetened beverages is smaller than most studies report.
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Having shown that industry studies were well run but that publication and citation bias existed against negative findings, and as predicted from a WHB effect, Allison—being funded himself by the food and beverage industry—became the subject of a media report by ABC condemning the influence of
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A meta-analysis had been reported showing that industry-funded studies reported smaller effects than did non-industry-funded studies, the implication being that industry funding leads researchers to bias their results in favor of the funder's presumed commercial interest. Allison and Cope's
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context of an economic good, with the goal being to transfer knowledge from scientists to its consumers, suggesting that acknowledging the full spectrum of effects on publication and treating addressing the effects as a moral imperative may aid this goal.
421:"Financial Conflicts of Interest and Reporting Bias Regarding the Association between Sugar-Sweetened Beverages and Weight Gain: A Systematic Review of Systematic Reviews" 1083: 376:
Kaiser, K A; Cofield, S S; Fontaine, K R; Glasser, S P; Thabane, L; Chu, R; Ambrale, S; Dwary, A D; Kumar, A; Nayyar, G; Affuso, O; Beasley, M; Allison, D B (2012).
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in a 2010 paper and explained the motivation behind it in terms of "righteous zeal, indignation toward certain aspects of industry", and other factors.
26:) is a purported "bias leading to the distortion of information in the service of what may be perceived to be righteous ends", which consist of both 1088: 378:"Is funding source related to study reporting quality in obesity or nutrition randomized control trials in top-tier medical journals?" 177:"White hat bias: Examples of its presence in obesity research and a call for renewed commitment to faithfulness in research reporting" 485: 1181: 1078: 888: 1007: 893: 547: 542: 359: 665: 1001: 527: 633: 1131: 855: 655: 1160: 1155: 1068: 950: 715: 695: 591: 59:
This initial paper contrasted the treatment of research on the effects of nutritively-sweetened beverages and
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Bes-Rastrollo, Maira; Schulze, Matthias B.; Ruiz-Canela, Miguel; Martinez-Gonzalez, Miguel A. (2013).
873: 725: 601: 478: 1028: 945: 845: 780: 720: 710: 705: 569: 261:"Effects of Soft Drink Consumption on Nutrition and Health: A Systematic Review and Meta-Analysis" 925: 910: 670: 660: 643: 128: 115: 1038: 975: 960: 883: 865: 800: 596: 512: 452: 407: 341: 290: 241: 206: 51:
refers idiomatically to an ethically good person, in this case one who has a righteous goal.
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Vartanian, Lenny R.; Schwartz, Marlene B.; Brownell, Kelly D. (2007).
220:"White hat bias: The need for authors to have the spin stop with them" 494: 39: 467: 308:
Young, Neal S; Ioannidis, John P. A; Al-Ubaydli, Omar (2008).
463: 310:"Why Current Publication Practices May Distort Science" 1124: 989: 864: 501: 479: 8: 1142:Heuristics in judgment and decision-making 486: 472: 464: 170: 168: 166: 164: 446: 436: 401: 335: 325: 284: 235: 200: 160: 16:Type of bias in public health research 7: 218:Atkinson, R L; MacDonald, I (2010). 38:and Mark Cope first discussed this 14: 265:American Journal of Public Health 382:International Journal of Obesity 224:International Journal of Obesity 181:International Journal of Obesity 175:Cope, M B; Allison, D B (2009). 108: 94: 1: 438:10.1371/journal.pmed.1001578 327:10.1371/journal.pmed.0050201 34:. Public health researchers 1008:DĂ©formation professionnelle 1203: 1002:Basking in reflected glory 187:(1): 84–8, discussion 83. 84:industry on diet science. 1150: 1132:Cognitive bias mitigation 716:Illusion of transparency 277:10.2105/AJPH.2005.083782 1182:Public health research 1084:Arab–Israeli conflict 811:Social influence bias 756:Out-group homogeneity 726:Mere-exposure effect 656:Extrinsic incentives 602:Selective perception 394:10.1038/ijo.2011.207 237:10.1038/ijo.2009.269 193:10.1038/ijo.2009.239 951:Social desirability 846:von Restorff effect 721:Mean world syndrome 696:Hostile attribution 866:Statistical biases 644:Curse of knowledge 129:Replication crisis 116:Mathematics portal 1169: 1168: 806:Social comparison 587:Choice-supportive 30:the evidence and 1194: 966:Systematic error 921:Omitted-variable 836:Trait ascription 676:Frog pond effect 504:Cognitive biases 488: 481: 474: 465: 460: 450: 440: 431:(12): e1001578. 415: 405: 363: 356: 350: 349: 339: 329: 305: 299: 298: 288: 256: 250: 249: 239: 214: 204: 172: 144:Publication bias 118: 113: 112: 104: 99: 98: 32:publication bias 1202: 1201: 1197: 1196: 1195: 1193: 1192: 1191: 1172: 1171: 1170: 1165: 1146: 1120: 985: 860: 841:Turkey illusion 609:Compassion fade 506: 497: 492: 418: 375: 372: 370:Further reading 367: 366: 357: 353: 307: 306: 302: 258: 257: 253: 217: 216:Editor's note: 215: 174: 173: 162: 157: 114: 107: 100: 93: 90: 81: 57: 17: 12: 11: 5: 1200: 1198: 1190: 1189: 1184: 1174: 1173: 1167: 1166: 1164: 1163: 1158: 1151: 1148: 1147: 1145: 1144: 1139: 1134: 1128: 1126: 1125:Bias reduction 1122: 1121: 1119: 1118: 1113: 1108: 1103: 1101:Political bias 1098: 1093: 1092: 1091: 1086: 1081: 1076: 1071: 1066: 1061: 1056: 1046: 1041: 1036: 1031: 1029:Infrastructure 1026: 1021: 1016: 1011: 1004: 999: 993: 991: 987: 986: 984: 983: 978: 973: 968: 963: 958: 953: 948: 946:Self-selection 943: 938: 933: 928: 923: 918: 913: 908: 903: 898: 897: 896: 886: 881: 876: 870: 868: 862: 861: 859: 858: 853: 848: 843: 838: 833: 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States 1077: 1075: 1072: 1070: 1067: 1065: 1062: 1060: 1057: 1055: 1054:False balance 1052: 1051: 1050: 1047: 1045: 1042: 1040: 1037: 1035: 1032: 1030: 1027: 1025: 1022: 1020: 1017: 1015: 1012: 1010: 1009: 1005: 1003: 1000: 998: 995: 994: 992: 988: 982: 979: 977: 974: 972: 969: 967: 964: 962: 959: 957: 954: 952: 949: 947: 944: 942: 939: 937: 934: 932: 929: 927: 926:Participation 924: 922: 919: 917: 914: 912: 909: 907: 904: 902: 899: 895: 894:Psychological 892: 891: 890: 887: 885: 882: 880: 877: 875: 872: 871: 869: 867: 863: 857: 854: 852: 849: 847: 844: 842: 839: 837: 834: 832: 829: 827: 824: 822: 819: 817: 814: 812: 809: 807: 804: 802: 799: 797: 794: 792: 789: 787: 784: 782: 779: 777: 774: 772: 769: 767: 764: 762: 759: 757: 754: 752: 749: 747: 744: 742: 739: 737: 734: 732: 729: 727: 724: 722: 719: 717: 714: 712: 709: 707: 704: 702: 699: 697: 694: 692: 689: 687: 684: 682: 679: 677: 674: 672: 669: 667: 664: 662: 661:Fading affect 659: 657: 654: 652: 649: 645: 642: 641: 640: 637: 635: 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961:Survivorship 911:Non-response 884:Healthy user 826:Substitution 801:Self-serving 597:Confirmation 565:Availability 513:Acquiescence 428: 424: 385: 381: 354: 320:(10): e201. 317: 313: 303: 268: 264: 254: 227: 223: 184: 180: 139:Funding bias 82: 73: 69: 58: 46: 44: 23: 19: 18: 1106:Publication 1059:Vietnam War 906:Length time 889:Information 831:Time-saving 691:Horn effect 681:Halo effect 629:Distinction 538:Attribution 533:Attentional 79:Controversy 1176:Categories 1069:South Asia 1044:Liking gap 856:In animals 821:Status quo 736:Negativity 639:Egocentric 614:Congruence 592:Commitment 582:Blind spot 570:Mean world 560:Automation 155:References 1137:Debiasing 1116:White hat 1111:Reporting 1024:Inductive 941:Selection 901:Lead time 874:Estimator 851:Zero-risk 816:Spotlight 796:Restraint 786:Proximity 771:Precision 731:Narrative 686:Hindsight 671:Frequency 651:Emotional 624:Declinism 555:Authority 528:Anchoring 518:Ambiguity 360:ABC video 230:(1): 83. 48:white hat 45:The term 1034:Inherent 997:Academic 971:Systemic 956:Spectrum 936:Sampling 916:Observer 879:Forecast 791:Response 751:Optimism 746:Omission 741:Normalcy 711:In-group 706:Implicit 619:Cultural 523:Affinity 457:24391479 412:22064159 346:18844432 295:17329656 246:20062107 211:19949416 88:See also 55:Overview 1156:General 1154:Lists: 1089:Ukraine 1014:Funding 776:Present 761:Outcome 666:Framing 448:3876974 403:3288675 337:2561077 286:1829363 202:2815336 65:obesity 1161:Memory 1074:Sweden 1064:Norway 931:Recall 701:Impact 577:Belief 495:Biases 455:  445:  410:  400:  344:  334:  293:  283:  244:  209:  199:  1049:Media 1019:FUTON 1187:Bias 453:PMID 408:PMID 342:PMID 291:PMID 242:PMID 207:PMID 40:bias 1096:Net 981:Wet 443:PMC 433:doi 398:PMC 390:doi 332:PMC 322:doi 281:PMC 273:doi 232:doi 197:PMC 189:doi 63:on 24:WHB 1178:: 451:. 441:. 429:10 427:. 423:. 406:. 396:. 386:36 384:. 380:. 340:. 330:. 316:. 312:. 289:. 279:. 269:97 267:. 263:. 240:. 228:34 226:. 222:. 205:. 195:. 185:34 183:. 179:. 163:^ 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Index

cherry picking
publication bias
David Allison
bias
white hat
breastfeeding
obesity
icon
Science portal
icon
Mathematics portal
Academic bias
Replication crisis
Cherry picking
Funding bias
Publication bias
Woozle effect




"White hat bias: Examples of its presence in obesity research and a call for renewed commitment to faithfulness in research reporting"
doi
10.1038/ijo.2009.239
PMC
2815336
PMID
19949416
"White hat bias: The need for authors to have the spin stop with them"
doi

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