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What analytic philosophers of the 1960s did not come to, but what is crucial for current understanding of historical causality, is the feasibility of tracing causal mechanisms through a complex series of events (causal realism).
Indeed, because reliable data are available solely about the past, using solid theories of causality is the only way managers can look into the future with any degree of confidence.
Causality is the most obvious case (A.24e).
This principle of (Einstein) causality is the main relativistic ingredient of AQFT.
In the Granger sense, causality is the ability of past values of x predicting the contemporaneous movements in y.
According to Hartmann, however, causality is the nexus that connects the phases of a process, the dynamic series of the production of the stages one from the other within the unity and the irreversibility of the process.
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Such chains of causality are the essence of logic models.
An equally plausible, but more cynical interpretation could be that the causality is in the other direction: somehow, companies that find themselves doing better decide that they can "afford" to have more women in top roles.
It is further not clear, what causality is behind the undershooting during the tapering phase of the epidemic curve.
Thus, causality is likely the category that he cared more about than all the other categories put together.
They are questions of causality – and as any good lawyer knows, establishing a chain of causality is often the most difficult chore in a case.
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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