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Statistical inference and ambiguity aversion: Making sense of the GMO debates

| November 13, 2013
This article or excerpt is included in the GLP’s daily curated selection of ideologically diverse news, opinion and analysis of biotechnology innovation.


Marc Bellemare, assistant professor in the Department of Agriculture at the University of Minnesota, said in his latest blog post, “many in the anti-GMO crowd seem to miss is the fact that so far, no serious scientific study…has shown GMOs are harmful to human health.” Due to publishing bias in scientific journals, publishers want to print the most interesting studies, so a rigorous, peer-reviewed study showing that GMOs cause harm would be published–if such a study existed. And yet, despite the lack of evidence against GMO safety, consumers are still affected by a psychological phenomenon known as “ambiguity aversion” wherein ambiguous statistics exaggerate the perception of risk, Bellemare wrote.

Read the full, original story here: “Statistical inference and ambiguity aversion: Making sense of the GMO debates”

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