White hat bias
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White hat bias (WHB) 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
cherry picking Cherry picking, suppressing evidence, or the fallacy of incomplete evidence is the act of pointing to individual cases or data that seem to confirm a particular position while ignoring a significant portion of related and similar cases or data th ...
the evidence and
publication bias In published academic research, publication bias occurs when the outcome of an experiment or research study biases the decision to publish or otherwise distribute it. Publishing only results that show a significant finding disturbs the balance o ...
. Public health researchers David Allison and Mark Cope first discussed this
bias Bias is a disproportionate weight ''in favor of'' or ''against'' an idea or thing, usually in a way that is closed-minded, prejudicial, or unfair. Biases can be innate or learned. People may develop biases for or against an individual, a group ...
in a 2010 paper and explained the motivation behind it in terms of "righteous zeal, indignation toward certain aspects of industry", and other factors. The term '' white hat'' refers idiomatically to an ethically good person, in this case one who has a righteous goal.


Overview

This initial paper contrasted the treatment of research on the effects of nutritively-sweetened beverages and
breastfeeding Breastfeeding, or nursing, is the process by which human breast milk is fed to a child. Breast milk may be from the breast, or may be expressed by hand or pumped and fed to the infant. The World Health Organization (WHO) recommends that bre ...
on
obesity Obesity is a medical condition, sometimes considered a disease, in which excess body fat has accumulated to such an extent that it may negatively affect health. People are classified as obese when their body mass index (BMI)—a person's ...
. 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. 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 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. 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 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.


Controversy

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 industry on diet science.


See also

* Academic bias *
Replication crisis The replication crisis (also called the replicability crisis and the reproducibility crisis) is an ongoing methodological crisis in which the results of many scientific studies are difficult or impossible to reproduce. Because the reproducibi ...
*
Cherry picking Cherry picking, suppressing evidence, or the fallacy of incomplete evidence is the act of pointing to individual cases or data that seem to confirm a particular position while ignoring a significant portion of related and similar cases or data th ...
*
Funding bias Funding bias, also known as sponsorship bias, funding outcome bias, funding publication bias, and funding effect, refers to the tendency of a scientific study to support the interests of the study's financial sponsor. This phenomenon is recognized ...
*
Publication bias In published academic research, publication bias occurs when the outcome of an experiment or research study biases the decision to publish or otherwise distribute it. Publishing only results that show a significant finding disturbs the balance o ...
*
Woozle effect The Woozle effect, also known as evidence by citation, occurs when a source is widely cited for a claim it does not adequately support, giving said claim undeserved credibility. If replication studies are not done and no one notices that a key ...


References


Further reading

* * {{biases Public health research Bias