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The word "meaningless" is defined as "lacking any significance". The claim that data lacks any significance until someone extracts meaning from it seems most useful, apart from philosophical discussions, as a rhetorical attempt to make data secondary to interpretation and ergo something that can be waved away by belief systems.

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But sometimes it is true, for example in the sense that data alone does not tell much about what is being measured and its significance.

For example high levels of cholesterol are negatively correlated to heart infarction, mostly because the population at highest risk is under medication and has so extremely low cholesterol. In this case the data itself is meaningless as it does not contain its own significance. This does not mean that we can freely discard data we don't like, it is important and useful, just not necessarily intrinsically meaningful.

A good analysis is made so that it is obvious to justify this layer of interpretation.

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