Anytime the media covers an issue that might affect consumers, they ask so-called consumer groups for a quote as if these groups by definition represent consumer interests. Check that box. Case in point, a story in Saturday’s New York Times on Monsanto and Dupont Pioneer’s successful efforts to develop genetically modified soybeans that eliminate harmful trans-fats in soybean oil. The reporter argues that these new beans could help the image of the biotech industry because they are among first generation of GMOs that help consumers, rather than farmers. This argument defies common sense and only serves to hamper informed policy debate.
Ag Biotech Opponents Want the US to Emulate European Regulation of Biotechnology – They Should Think Again.
GMO crops are every bit as safe as any other and this is acknowledged by a staggering preponderance of scientific opinion around the world. Unfortunately, the professional opposition to agricultural biotechnology has succeeded in scaring enough scientifically illiterate politicians to lead to indefensible and prejudicial regulations that inhibit innovation and hamper dissemination of cheaper and more productive crops.
Peer Review – Where you thought it ended? That’s just the beginning!
A recent journal article claiming that certain GMO products were found to cause tumors in rats was promoted by advocates as “peer-reviewed evidence” that GMO’s are a safety risk. However a closer review of the article’s methodology and the peer review process itself shows that these claims are false and harmful to the broader scientific discussion and policy debate.
Predictive Analytics and How to Decide Who Should Receive Organ Transplants
As society increasingly relies on data to make predictions, some fear that they will be caught on the wrong side of an equation: a healthy individual might be denied medical coverage, a reformed criminal might be denied parole, or a financially-stable consumer might be denied credit. These fears are misguided. While critics are correct that no algorithm will be right 100 percent of the time, what many people do not realize is that we already live in a world of predictions, we are just not always that good at making them. Fortunately, better use of data analytics can help us make fewer errors.