Durk Pearson & Sandy Shaw’s®
Life Extension NewsTM
Volume 16 No. 5 • May 2013

Scientific Bias

Imagination, on the contrary, which is ever wandering beyond the bounds of truth, joined to self-love and that self-confidence we are so apt to indulge, prompt us to draw conclusions which are not immediately derived from facts; so that we become in some measure interested in deceiving ourselves.
— Antoine-Laurent Lavoisier1

White hat bias, defined by Cope and Allison as “bias leading to distortion of research-based information in the service of what may perceived as ‘righteous ends’” may be a factor in the overstatement of research find- ings. In addition, overstatement of results can be influenced by confirmation bias, by which the overstated results match preconceived views and hypotheses, leading to acceptance of the results even if the results are weak or nonsignificant.
— Bohan Brown, Brown, and Allison1

  1. Brown et al. Nutritional epidemiology in practice: learning from data or promulgating beliefs? Am J Clin Nutr. 97:5-6 (2013).

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