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”。
But correlation is not causation.
但这种联系不是因果关系。
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。
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。
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。
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。
And our understanding of causation is not really based on intelligibility, its based on observation of uniformity.
我们关于因果关系的理解并不是真正基于可理解的事物，而是基于观察的一致性。
Much of the second half is taken up with the devilishly tricky business of trying to extract causation from correlation.
下半部分的大部分内容处理的是努力从相关性引出因果关系这种特别微妙的做法。
If we are essentially material, if everything we do is determined by material causation, does that leave any room for freedom?
如果我们的本质是物质，如果我们所做的事都依赖于物质的因果关系，那还有什么自由空间可言么？
True, correlation doesn't imply causation, but correlation is often the first step to finding causes, so such studies are still valuable.
当然，相关并不意味着因果，但是“相关”往往是找到原因的第一步，所以这项研究还是有价值的。
But the results don't imply causation either, as it's problematic to assume that body weight dictates a person's success in the workplace.
但是这个结果(和本文主旨)没有什么因果关系，因为用体重去预估一个人在工作领域内的成功是很有问题的。
Correlation supersedes causation, and science can advance even without coherent models, unified theories, or really any mechanistic explanation at all.
关联关系比因果关系重要，科学甚至能在没有一致模型、统一理论，甚至完全不需要任何解释的情况下进步。
He thinks we ought to be able to make sense of causation as for example when he says that any cause must have as much perfection or reality as its effect.
他认为关于因果关系，我们是能够说得通的，举个例子来说，笛卡尔提出，任何起因都必须像结果一样既完美又真实。
He thinks we ought to be able to make sense of causation as for example when he says that any cause must have as much perfection or reality as its effect.
他认为关于因果关系，我们是能够说得通的，举个例子来说，笛卡尔提出，任何起因都必须像结果一样既完美又真实。
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