Posts Tagged ‘White hat bias’

  1. I’m sceptical….what are you?

    Published on Thursday, July 15th, 2010

    New Scientist ran an interesting series of articles about denial in May this year.

    It got me thinking that scepticism vs denialism is another way of describing a theme often addressed in this blog.  I consider myself a sceptic – meaning that I take an objective approach to the evaluation of claims - but I also find that a bit of commonsense goes a long way.  Deniers, on the other hand, have a position (or end goal) staked out in advance, and sort through the data employing “confirmation bias”.  This is defined by New Scientist as “the tendency to look for and find confirmatory evidence for pre-existing beliefs and ignore or dismiss the rest”.  Whether sceptics agree or disagree, we can debate the issues like grown ups.  Dealing with denialism feels more like trying to rationalise with a toddler having a tantrum.

    It’s easy to think of denialism as an old fashioned notion, driven by zealots such as anti-evolutionary theorists or those who believed the Earth was flat.  But no – denialism is alive and well in our modern world.  We’ve all heard of climate change and vaccination deniers.  New Scientist provides useful perspectives on these examples, as well as deniers of the ill health effects of tobacco, the existence of AIDs and those who believe pandemics such as swine ‘flu are developed and released by pharmaceutical companies.  I can add more examples to this list based on personal experience in the food and health area.  Those who are convinced that:

    • obesity is caused by single foods or beverages (and that this is a conspiracy of global food companies).
    • anti-tobacco tactics directed to certain foods are the best option to combat obesity.
    • specific approved food additives or ingredients cause illnesses ranging from autism to cancer (and that this is a conspiracy of both food companies and food safety organisations).
    • there are no adverse health effects of high salt diets at a population level.
    • it’s acceptable to deliberately design research studies to prove a point or handpick research results to suits their means, rather than taking a more objective view.

    Your typical denier often has the public’s sympathy because they’re the “underdogs, fighting the corrupt elite”.  They often occupy the moral high ground for this reason.   And the media love the extreme viewpoint they offer so they have a natural public stage.  Regulators, businesses and governmental organisations do not have the luxury of being able to handpick evidence to suit.  They have to be objective, so they often come off looking non-committal, or at worst, defensive, when facing denialists in public.

    In my digging around for material on this subject I also found this delightful quote by Richard Asher, published in The Lancet in 1959.

    “It is important to realise that ideas are much easier to believe if they are comforting and that many clinical notions are accepted because they are comforting rather than because there is any evidence to support them. Just as we swallow food because we like it, not because of its nutritional content, so do we swallow ideas because we like them and not because of their rational content.”

    I believe this rings especially true today and I’d love to hear some more examples of denialism that you’ve come across.

  2. White Hat Scientists

    Published on Friday, December 18th, 2009

    In olden day cowboy movies the do-gooder cowboy heros wore white hats.  Recently the term “white hat bias” was coined to describe bias in scientific research on obesity (the subject of much nutrition research at present) which leads to “distortion of the published information in the service of what may be perceived as righteous ends”.

    A commentary in this month’s International Journal of Obesity discusses this phenomenon and analyses examples.  Particular bias on topics related to weight, nutrition and the food industry were shown, especially a tendency to distort information about products such as sugar-sweetened beverages or practices like breastfeeding, regardless of the facts, when the distortions are perceived to serve good ends.

    The authors examined the areas of citation bias, publication bias miscommunications in press releases and the inappropriate or questionable inclusion of information.  Analysis of specific research papers in the areas of reporting effects of sugar-sweetened beverages on body weight and the protective effects of breastfeeding were included.

    The analysis showed that less than one-third of the papers citing the beverage studies accurately reported the overall findings, and more than two-thirds exaggerated evidence that reducing sugar-sweetened drink consumption reduced weight or obesity. The researchers also found several examples in breastfeeding studies in which the white hat authors selectively included some data and discarded other research to support the theory that breastfeeding decreases the risk of obesity.

    For both the beverage and breastfeeding research, the resulting data was more likely to be published when it showed statistically significant outcomes. Studies with outcomes that did not show sugar-sweetened drinks to be bad and breastfeeding to be good were less likely to be published.

    Notably, this bias appeared in studies not funded by industry, raising questions as to the motivation on non-industry funded research.  Interesting; since for many years health lobbyists have also sought to disqualify the results of industry-funded research.

    Some researchers like to demonise certain products or defend practices with a kind of righteous zeal.  Whether this is intentional or unintentional, it’s simply wrong to stray from truthfulness in research reporting.

    So, perhaps with the best of intentions, scientists are actually distorting the available evidence and losing sight of what science is about – the disciplined, objective observation, collection and documentation of findings.  The authors refer to white hat bias as “eroding the foundation of scientific discipline”.

    Last week I went to a seminar in Wellington which discussed similarities between the food industry and tobacco industry, and was reminded of the potential dangers of White Hat bias being used here in New Zealand.