New Study Finds A “Very Strong” Correlation Between GMOs And Two Dozen Diseases

by HealthyFood 2 views0

It’s no secret that the chronic diseases have been raising in an exponential rate, especially in the last 20 – 30 years. More and more evidence arise every day suggesting that the Genetically Modified Organisms (more specifically known as GMO) have played, and are playing a key role in those statistics.

The Journal of Organic Systems last September published a new study in which they examined US government databases, searching for glyphosate application data,GE (Genetically Engineered) crop data, and disease epidemiological data while performing a “correlation analysis” on a total of 22 various diseases.

The conclusion they reached is alarming:New Study Finds A “Very Strong” Correlation Between GMOs And Two Dozen Diseases

“These data show highly significant and very strong correlations between GE crop growth,the increasing use of glyphosateand the increase in a multitude of diseases. Many of the graphs are showing sudden increases in the rates of diseases in the mid-1990s that coincides with the start of the commercial production of GE crops. The probabilities in the tables and graphs show that it is highly unlikely that the correlations are a coincidence. The strength of the correlations shows that there is a very strong probability that they are connected somehow.”

It’s important to consider taking into account the multitude of studies that clearly indicate the potential dangers associated with ingesting genetically modified foods, and if you’re thinking causation doesn’t mean correlation, you are right. There is a lot of information out there, and our lack of support for GE foods comes from examining a multitude of information instead of just “a study.” It’s always important to look at a wide variety of evidence and data when trying to make the best possible decisions for you and your family when it comes to GE foods. The statement suggesting that they should not be deemed completely safe for consumption is quite large, and goes far beyond the correlation analysis conducted in this study.