As a scientist, it is increasingly more common to hear about
papers being retracted after being published and about how journals are
becoming more demanding in terms of what they require for submission. Many
postdoctoral fellows and professors joke about how it is notoriously impossible
to repeat experiments published in high-impact journals that were conducted at
other research institutions. One explanation regarding the issue of
reproducibility could be that the conditions at every institution are
different, leading some researchers to obtain positive results, while others
obtain negative results. However, the issue of reproducibility raises a more
concerning issue: how much bias is introduced into experiments by researchers?
Science is driven by the underlying need to obtain
significant results. Publications are crucial to advancing a scientific career
and it is difficult to publish without having statistically significant data.
Can the need for obtaining significant results cause a researcher to introduce
bias into their experiments? According to Daniele Fanelli, a researcher at
Stanford who studies publication bias, bias is greater in the social sciences,
such as psychology, economics, and sociology, when compared to the physical
sciences, such as chemistry and biology.
Some fields, such as psychology, seem to be inherently more
prone to experimenter bias. Although Fanelli suggests that the social sciences tend to have more bias than the physical sciences, that doesn’t mean that the physical
sciences are bias free. In some cases, the physical sciences can introduce bias
through experimental design, such as testing enough animals until significance
is reached, or through the presentation of the data. No matter what field a
researcher is working in, it is important to keep in mind how bias can be
introduced into experiments and an effort must be made to reduce bias as much
as possible.
https://www.washingtonpost.com/news/in-theory/wp/2017/03/31/how-biased-is-science-really/?utm_term=.018e6cf3b4b5
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