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New Study Links Plastics To Heart Disease, Diabetes

Posted by timothy on from the only-when-used-to-store-food-or-drink dept.

fprintf writes "There have been a number of studies over the years, some of which have been debunked, linking plastics with human disease. Now British researchers have released a study again linking common plastics used in food/liquid storage with human disease."

5 of 266 comments (clear)

  1. Re:I haven't even rtfa, but here goes by zyl0x · · Score: 5, Insightful

    If you didn't RTFA, how do you know their results only evidenced correlation then?

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    Blerg.
  2. Relative risk by R2.0 · · Score: 5, Insightful

    I wonder if they will compare the instances of disease to those from food poisoning from earlier methods of food storage?

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    "As God is my witness, I thought turkeys could fly." A. Carlson
  3. Re:I haven't even rtfa, but here goes by dreddnott · · Score: 5, Insightful

    Exactly right. "Correlation is not causation" has become more like a reflexive meme around here rather than a thoughtful addition to the conversation.

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    I may make you feel, but I can't make you think.
  4. Mod parent redundant by Al+Dimond · · Score: 5, Insightful

    From TFA: "At least from this study, we cannot draw any conclusion that bisphenol A causes any health effect. As noted by the authors, further research will be needed to understand whether these statistical associations have any relevance at all for human health."

    As noted by the authors. The authors, and the person TFA got a quote from, and TFA all make this concession, and you try to karma-whore by stating the obvious. Read. The. Fine. Article.

  5. Re:I haven't even rtfa, but here goes by antifoidulus · · Score: 5, Insightful

    Wow, did you even bother reading the article? Do you really even understand statistics? Yes, correlation is not causation, but that really doesn't add much to the conversation. Correlation is necessary but not sufficient for causation. You do realize that there is a whole branch of mathematics and analysis that tries to extract causal relationships, if they exist, from this data? Are you also aware that analysis like this is the only way we can discover certain relationships?(Well, the only feasible way anyway). Getting a bunch of statistically random people to sit in a lab and drink from either plastic or non-plastic cups for 50 years isn't really going to be possible.

    If you have a genuine statistical beef with something, please actually explain it rather than smugly stating, "corelation(sic). Is. Not. Causation)

    Either that or show me your PhD in statistics.

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    Monstar L