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Leibniz depicts the production of our thoughts, for instance, as involving emanative causation: "it is very evident that created substances depend upon God, who preserves them and who even produces them continually by a kind of emanation, just as we produce our thoughts" (Discourse on Metaphysics §14 GP iv, 439/AG 439/AG
Of course, correlation does not prove causation; it is certainly possible that better hospitals choose physicians as their leaders.
Regardless of causation, it is essential that programs be developed to quickly identify mental illness in children and adolescents at risk, and that swift and appropriate interventions be made available by competent mental health professionals.
Absent causation, it is difficult to conceive why asbestosis is any more than marginally more suitable a predicate for recovering for fear of cancer than the fact of mere exposure.
But without hazarding a strong claim about causation, it is important to recognize that for both the Right and the Left, a shift to the extremes made fund-raising easier.
Observational studies rely on post-hoc summary statistics rather than ex-ante randomization and are susceptible to the adage that "correlation is not causation". It is less clear in these studies whether repeating the study will result in the same conclusion.
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However, they point out, correlation doesn't add up to causation: It's quite possible that kids involved in the arts are the ones getting good grades in the first place.
Correlation does not equal causation -- it's an early mantra for budding scientific minds.
Even though correlation is not causation, it's logical that the more a particular piece of content is shared, the more awareness and inbound links it will generate; and inbound links are absolutely a core ranking factor in Google's algorithm.
(That said, correlation doesn't make causation; it's possible these STDs were lurking all along, and we've just got better testing for them now).
While we know that correlation doesn't necessarily equal causation, it's possible that this new data leaves some questions to be unpacked.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com