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Discover Ludwig"causal relations" is a grammatically correct and usable term in written English.
You can use it to describe relationships between two or more events or variables. For example, "studies have suggested a causal relation between poverty and poor health."
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And can absences feature in causal relations?
If causal relations track regularities, what system of causal relations can achieve such effects?
Real causal relations are relations between two real things, however.
Are causal relations singular or based on repeatable regularities?
It is no surprise that causal relations are invariant.
Must causal relations be triadic or otherwise poly-adic?
What must a world be like, to host causal relations?
These techniques cover the causal relations in a safety analysis.
Although these tests have high power in uncovering linear causal relations, their power against nonlinear causal relations can be low.
This means that Spinoza's following-from relation shares the features of his causal relations, including the fact that causal relations involve necessary connections between relata (Iax3).
The theory imposes probabilistic constraints upon possible causal relations, and there will be some sets of probability relations that are compatible with only one set of causal relations.
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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