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Every statement in that particular section has sources linked, which means you can see for yourself whether it's true or not. Are you saying studies published i

Every statement in that particular section has sources linked, which means you can see for yourself whether it's true or not. Are you saying studies published in Nature or New England Journal of Medicine can't be trusted? I do think that Wikipedia is quite reliable, so I don't have a problem with that, but I think the article doesn't quite support your point. Compared to alternatives, Wikipedia is perhaps the best at combining high reliability, "freshness" and breadth of content. What's your benchmark for measuring reliability? I can't think of many others.

yorwba 9y ago
I'm saying that Wikipedia has a much more nuanced discussion of its reliability (including drawbacks of the studies involved) than the summary in your comment.
singularity2001 9y ago
Yes Wikipedia and the link sources are good but it is still ironic. You know Wikipedia could cherry pick their links. They don't, but they could.
- tysonzni 9y ago
  Fair point.
wavegeek 9y ago
> Are you saying studies published in Nature or New England Journal of Medicine can't be trusted? http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0020124 http://journals.plos.org/plosmedicine/article?id=10.1371/jou... Summary There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance. Simulations show that for most study designs and settings, it is more likely for a research claim to be false than true. Moreover, for many current scientific fields, claimed research findings may often be simply accurate measures of the prevailing bias. In this essay, I discuss the implications of these problems for the conduct and interpretation of research.

yorwba 9y ago

I'm saying that Wikipedia has a much more nuanced discussion of its reliability (including drawbacks of the studies involved) than the summary in your comment.

singularity2001 9y ago

Yes Wikipedia and the link sources are good but it is still ironic. You know Wikipedia could cherry pick their links. They don't, but they could.

tysonzni 9y ago
Fair point.

wavegeek 9y ago

> Are you saying studies published in Nature or New England Journal of Medicine can't be trusted? http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0020124 http://journals.plos.org/plosmedicine/article?id=10.1371/jou... Summary There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance. Simulations show that for most study designs and settings, it is more likely for a research claim to be false than true. Moreover, for many current scientific fields, claimed research findings may often be simply accurate measures of the prevailing bias. In this essay, I discuss the implications of these problems for the conduct and interpretation of research.