Correlation, after all, does not prove causation.
毕竟，相关性并不能证明因果关系。
To assess whether the authors claimed any causation, researchers then looked for telltale verbs in each paper's title and abstract, verbs like "enhance", "promote", "facilitate", and "strengthen".
为了评估作者是否声称过任何因果关系，研究人员在每篇论文的标题和摘要中寻找能说明问题的动词，比如“增强”、“促进”、“便利”和“加强”。
The gene is only part of the causation of illness.
基因只是疾病的部分诱因。
巧合并非其原因。
But the link is not causation.
但这种联系不是因果关系。
But correlation is not causation.
但这种联系不是因果关系。
Of course correlation is not causation.
当然联系不是因果关系。
Of course, correlation is not causation.
当然，相关关系并不是因果关系。
Study suggests causation, not just correlation.
研究暗示因果关系，而不只是相互关系。
Correlation, in other words, rather than causation.
换言之，这是一种相互左右的关系，而不是因果关系。
Correlation, after all, does not necessarily imply causation.
毕竟，相关性不等于因果关系。
Of course this study finding shows correlation not causation.
当然，这项调查所发现的结果只能证明关联性而非因果性。
CORRELATION is not causation, but it can often be suggestive.
相关性不等于因果关系，但却往往具有启发性。
And the causation is a really interesting philosophical issue.
因果是非常有趣的哲学问题。
Furthermore, the question of causation could be put far more sharply.
此外，因果关系的问题可以提得更尖锐。
Critics of the hypothesis point out that correlation is hardly causation.
该假设的反对者指出他们之间的联系不是因果关系。
So if we have a concept of causation, it must be derived from experience.
因此，如果我们有一个因果关系的概念，它必须源于经验。
These predictions come with a strong caveat: correlation does not equal causation.
在进行这些预测的同时，还要有一个大大的提醒：关联不等于因果。
But if we take David Hume's view of causation then the position is very different.
但是当我们采纳大卫·休谟关于因果关系的看法时，其地位还是很不一样的。
Very importantly for understanding causation in Hume which we will come to next time.
这对于休谟关于因果关系的理解非常重要，我们在下次予以讨论。
Politicians will argue furiously about which way round the arrow of causation ought to run.
政客们将会展开激烈的因果之争。
Dr Barnard teaches and conducts extensive research into the causation of various diseases.
巴纳德博士对多种疾病病因进行了广泛的研究，并从事相关的教学工作。
Our analysis can only identify relationships among variables and in no way implies causation.
我们的分析只能识别变量之间的关系，决不意味着因果关系。
Traditional theories of disease causation are very different to those of Western science.
传统的病因理论与西方科学大相径庭。
Even if the correlation were not spurious, it would be difficult to know which way causation ran.
即使这个联系不是错误的，也很难知道这种因果关系是以哪种方式运行的。
Even if the correlation were not spurious, it would be difficult to know which way causation ran.
即使这个联系不是错误的，也很难知道这种因果关系是以哪种方式运行的。
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