OK, BS is harsh.
Let’s say this: It was a poorly conducted test.
It was published in an online journal that is not considered well-respected.
The list of doctors is a Who’s Who of Anti-GMO Activists.
½ the pigs caught pneumonia during the course of the study.
The study noted that pigs fed GMO foods had inflamed stomachs, and happened to leave out the fact that more pigs who weren’t fed GMO had inflamed stomachs, and that stomach inflammation is common when pigs are overfed or their meal is too finely ground.
Table 3 actually shows that many more pigs fed non-GMO feed had stomach inflammations than those with GMO feed. So 31 non-GM pigs had ‘mild’ inflammation, while only 23 GM pigs had it. For ‘moderate’ inflammation, a GMO diet again seemed to be beneficial: 29 non-GM pigs had moderate inflammation of the stomach, while 18 had it. So that’s 40% vs 25%. Do Carman et al perform a test for statistical significance to see if GMO feed has a protective effect on pigs stomachs?
The study was funded by The Organic Federation of Australia and other openly anti-GMO activists. So I’ll give that exactly as much credit as a study published by Monsanto that says their corn will cure cancer.
Table 3. 15% of non-GM fed pigs had heart abnormalities, while only 6% of GM-fed pigs did so. Similarly, twice as many non-GM pigs as GM ones had liver problems.
Prof David Spiegelhalter, Winton Professor of the Public Understanding of Risk at the University of Cambridge, said:
“The study’s conclusions don’t really stand up to statistical scrutiny. The authors focus on ‘severe’ stomach inflammation but all the other inflammation categories actually favour the GM-diet. So this selective focus is scientifically inappropriate.
“When analysed using appropriate methods, the stomach inflammation data does not show a statistically statistical association with diet. There are also 19 other reported statistical tests, which means we would expect one significant association just by chance: and so the apparent difference in uterus weight is likely to be a false positive.”
Prof Patrick Wolfe, Professor of Statistics at University College London, said:
“I am not an expert on animal health, husbandry, toxicology etc, and therefore I cannot comment on these aspects of the study. As a statistical methodologist I can however comment on the data analysis undertaken and presented in the article.
“The biggest issue is that the study was not conducted to test any specific hypothesis. This means that the same sample (in this case nearly 150 pigs) is, in effect, being continually tested over and over for different findings.
“The statistical tests employed assume that a single test is done to test a single, pre-stated hypothesis; otherwise the significance levels stemming from the tests are just plain wrong, and can be vastly over-interpreted.
“Thus there is a higher-than-reported likelihood that the results are due purely to chance. The number of pigs being in the low hundreds (instead of, say, the thousands, as is often the case in large medical studies) can make this effect even more prominent.
“Bottom line: a better-designed study would have hypothesized a particular effect (such as changes in stomach size), and then applied a statistical test solely to check this hypothesis. Perhaps another independent team of researchers will go down this path. Until then, this study definitely does not show that GM-fed pigs are at any greater risks than non-GM fed pigs.”
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