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Analyzing Misinformation and Selective Data Usage in GMO Discussions
Examining the flaws in a study comparing glyphosate data, critiquing language manipulation for instilling fear, and discussing selective data interpretation in arguments on GMO agriculture impacts.
On this week's episode, we are joined by two experts: Dr. Kevin Folta, a molecular biologist specializing in plant biology, and Dr. Nicole Keller, a general pediatrician and member of AAP, to discuss the recent position paper written by 3 pediatricians about GMO foods which is being adopted as a policy statement by the American Academy of Pediatrics. This paper has countless issues, from omission of relevant data, cherry-picked studies, and inflammatory statements not supported by evidence, and reads like an opinion piece instead of a credible analysis of data. As this will be published in Pediatrics, we discuss the major methodological flaws and the gross misrepresentation of the body of evidence on GMOs, GE technology, and foods. Aside from discussing specific false claims made, we highlight several glaring missteps in critical evaluation of the data. We discuss the implications this misinformation will have on pediatric healthcare, families, and trust in science and medicine. Make sure to listen to the whole thing!
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PLEASE NOTE: The discussion and information provided in this podcast are for general educational, scientific, and informational purposes only and are not intended as, and should not be treated as, medical or other professional advice for any particular individual or individuals. Every person and medical issue is different, and diagnosis and treatment requires consideration of specific facts often unique to the individual. As such, the information contained in this podcast should not be used as a substitute for consultation with and/or treatment by a doctor or other medical professional. If you are experiencing any medical issue or have any medical concern, you should consult with a doctor or other medical professional.
Further, due to the inherent limitations of a podcast such as this as well as ongoing scientific developments, we do not guarantee the completeness or accuracy of the information or analysis provided in this podcast, although, of course we always endeavor to provide comprehensive information and analysis. In no event may Unbiased Science or any of the participants in this podcast be held liable to the listener or anyone else for any decision allegedly made or action allegedly taken or not taken allegedly in reliance on the discussion or information in this podcast or for any damages allegedly resulting from such reliance. The information provided herein do not represent the views of our employers.
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