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One could argue that POBs simply make this reasoning explicit.The CRR considers the key question of how well the POBs have actually done, by calculating an internal rate of return.
We can make this reasoning more intuitive by considering the general situation of a set of multiple events that occur according to some probability distribution.
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If you buy into the assumptions made, this reasoning makes perfect sense for House Republicans.
However, the court did not agree with that line of argument, instead declaring in July: The court is uncertain what to make of this reasoning.
We clarify this point, and write explicitly force balance at the lateral/basal interface in the main text, in order to make the reasoning clear.
Later Mohist texts make it clear that this reasoning process is regarded as a form of analogical inference or projection, which they call "extending kinds" (tui lei) — that is, "extending" our judgment of what counts as "of the same kind" to include new cases.
It's an inconsistency that makes that reasoning seem at least a little confusing.
For those who are not so inclined, I hope my explanation makes the reasoning clear.
Moreover, the way the coefficients had been analyzed made the reasoning and policy implications rather weak.
Together these give attentional focus making the reasoning performed relevant to the task.
It not only retains the semantic plentifulness of facts and proposition, but also makes the reasoning results more effectively.
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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