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In fact, it fails on two counts: it excludes many causal processes; and it fails to exclude many pseudo processes.
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However, a new recent fact – e.g., a weak signal – typically has an impact on the plausibility of many assumed causal processes and related scenarios.
Of course, in the case of complex processes with many kinds of interacting causal processes, this is not often possible in practice.
If we required that the interactions be causal (at the risk of circularity), then it is still true that in real cases there are many causal interactions continuously affecting processes.
This treatment abstracts radically from the details of the causal processes involving particular individual molecules and instead focuses on identifying higher level variables that aggregate over many individual causal processes and that figure in general patterns that govern the behavior of the gas.
And how many causal chains should we chase?
For example, complex psychological traits have many causal genes (not simply "a gay gene").
Not only do they share many causal factors but each dramatically increases the likelihood of the other.
They are all extremely simple and addictive in the way that many causal games are.
To define the causal interaction, Salmon differentiate between genuine causal processes and pseudo-processes.
We witness in nature causal processes that add up to longer causal chains.
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