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News from Deutsche Welle:http://www.dw.com/en/delay-on-glyphosate-decision-leaves-eu-farmers-in-limbo/a-19270097
The real way and only way to show something dangerous to health is by using studies. In particular meta studies that use a vast number of data to show a correlation. That is about anything too not just Roundup. Those studies from what I can tell have been done and they do not show a correlation. I am sympathetic to those that are nervous about them because the government who supposedly collects and analyzes these studies isn't functioning.
Actually what you want are randomized controlled trials (RCTs) where some people eat GMOs and some do not. For the type of epidemiological (epi) data you're describing above, this only proves correlation not causation. Correlation is meaningless, unless it's a huge correlation and has plausible explanations of disease. For instance, smoking = cancer is based on epi evidence, but lung cancer is incredibly rare if you don't smoke and relatively common if you do. Now, a negative correlation might mean we can feel a little better about this, but if Monsanto paid for the study or studies, I guarantee they got what they paid for. Another example. Statin trials (which are RCTs, by the way) paid for by drug manufacturers indicate some benefit for statins. When an RCT is done and paid for by the government (or some other entity), statins are useless. What we need are RCTs that are paid for and run by an entity with no skin in the game. How many of those have been done?
Well The type of studies I am talking are Meta so it would have to to exist there first somehow. You are right though. I am not sure how you can properly assign a correlation between a GMO and cancer when the products that are GMO ATM (Canola, Suger Beats, Corn,) are almost all GMO? There is no data differentiating the two. Almost all Canola is GMO. So how can you tell? You would need two sets Of research data that does not exist.