A recent study revealed that Support people who follow precisely all the standard recommendations for avoidance of infection by pathogenic microorganisms in meat-based foods are more likely to contract diseases caused by these pathogens than are those who deviate considerably from the standard recommendations. ██████ ███ ████████ ███████████████ ███ █████████ ██ █████████ ██ █████ █████████ ████ ██ ██████████████████
The author argues that the standard recommendations for avoidance of infection must be counterproductive. She supports this by noting that those who follow the recommendations are more likely to contract diseases than are those who do not follow the recommendations.
This is a “correlation doesn’t imply causation” flaw, where the author sees a correlation and concludes that one thing causes the other without ruling out alternative hypotheses. The author overlooks two key alternatives:
(1) The causal relationship could be reversed—maybe people who follow the recommendations do so because they’re already at heightened risk of contracting infection!
(2) Some other factor could be causing the correlation—maybe there’s something completely separate that causes some people to both follow the recommendations and be at higher risk of disease.
The argument is most vulnerable ██ █████████ ██ ███ ███████ ████ ██ █████ ██ ████ ████ ███████ █████ ███ ██ ███ █████████ ██████████████
Pathogenic microorganisms can █████████ ██ █████ ████ ███ ███ ███████████
This is irrelevant to the author’s argument. We’re talking about meat-based foods specifically, so information about non-meat-based foods wouldn’t make any difference!
Many people do ██████ █████████ ███ ███ ████████ ███████████████ ███ █████████ ██ █████████ ██ ██████████ ██████████████ ██ ██████████ ██████
This is irrelevant to the author’s argument. It doesn’t matter how many people follow the standard recommendations—whether it’s a lot or just a few, the fact remains that they are more likely than others to contract the diseases in question.
Not all diseases ██████ ██ ██████████████ ████ ███████ ████████████ █████████
The argument doesn’t require (and therefore doesn’t overlook) any discussion of symptoms. We can assume that the premises are true, meaning that the people we’re told have or have not contracted the diseases have been accurately diagnosed.
Preventing infection by ██████████ ██████████████ ██ ██████ █ ██████ ██ █████████ ███ ███████████ ███ ██ ████████████████
If (D) were true, then the author’s argument would be strengthened: we would be able to pinpoint the content of the standard recommendations as “inappropriate” and perhaps “counterproductive”. But we’re looking for a something the argument overlooks, not a strengthener!
Those most concerned ████ ████████ ██████████ ██████████ ████ ██████████ █████ ███ █████ ████ ███████████ ██ █████
This is overlooked by the author’s causation assumption. It’s possible that the recommendations cause disease contraction, but it’s also possible that those who follow the recommendations are a self-selected group who were more likely to contract the diseases to begin with!