Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be instances where direct correlation to the claim is not available. Make use of the sentences in the paragraph to provide a corresponding output supporting the claim. 3) The explanation should be at least one and at most twelve sentences long.
Q: Paragraph: "Not applicable the cost of coffee is not in question. The online and on-air stories still used inappropriate causal language as the WebMD story did in describing the results of a study that can't establish cause-and-effect. The online story said ""may cut risk"" and ""may lower the risk."" Adding the qualifying ""may"" doesn't detract from the inappropriate causal verb that follows. The on-air story used the term ""benefit"" when benefit can not be established in this kind of study. Inappropriate. Inaccurate. At least this story did what the WebMD story didn't do in discussing some of the potential harms from drinking a lot of coffee. At least the story commented briefly on the nature of the study: ""They looked at nine existing studies and analyzed how much coffee was consumed by more than 5,000 cancer patients and about 9,000 healthy people."" But it never stated explicitly that this kind of study CAN NOT establish cause and effect. That's still a major shortcoming of such stories. It only takes a line to do so, and we've provided some sample lines in a primer on this topic elsewhere on our site. No overt disease-mongering in the story. One of the researchers and two independent sources were interviewed something WebMD didn't do. The story didn't comment as the WebMD story did on other factors analyzed in the study such as tea, fruits and vegetables. Not applicable the availability of coffee is not in question. The story at least briefly mentions other coffee research: ""Other recent studies suggest coffee may have beneficial effects in other diseases like dementia, diabetes, liver and Parkinson's disease. However, coffee alone may not be the answer according to some experts."" Because of the number of sources cited, it's clear this did not rely on a news release." Claim: Coffee may cut risk for some cancers
A:
What basics are wrong? The on-air and online stories still used terms like "benefit" and "lowers risk" sometimes with the qualifier "may cut risk" which still doesn't cover up the inaccuracy of using causal language to explain results that can't prove cause-and-effect. Some of the online comments on the CNN website provide a glimpse of how readers react to such stories: "i love how an article starts with something positive and then slowly becomes a little gloomy. so is it good or not? i'm still where i was with coffee, it's all in moderation, it ain't gonna solve your health woes." "The statistics book in a class I'm taking right know uses coffee as an example of statistics run amok. It seems coffee has caused all the cancers and cures them at the same time." "Could it be that instead of having mysterious compounds, coffee drinkers just drink more coffee than they drink alcohol or smoke?" "I am so f-ing sick of these studies, or more precicesly how these "risk factors" are interpreted as "facts" by newspaper headlines. If you can't explain why something happens other than surmising, stop wasting our time." "correlation IS NOT causation!!!! So people that drink 4 or more cups of coffee have a lower incidence of two certain types of head and neck cancers, and this is supposed to mean that coffee is actually "warding off" these cancers???"