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The reductions of second-order theories (i.e., theories of properties or sets) to axiomatic theories of truth may be conceived as forms of reductive nominalism, for they replace existence assumptions for sets or properties (e.g., comprehension axioms) by ontologically innocuous assumptions, in the present case by assumptions on the behaviour of the truth predicate.
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This is an innocuous assumption in the single public good case, because x is always increasing.
Enormous errors can be introduced by making this seemingly innocuous assumption, and such errors can mislead assessments of polysulfides' role in such processes as discussed below.
2.1, we maintain the innocuous assumption that (p_{x}>q_{x}), so that the signal component is a "top-heavy" model.
What greases the wheels of this transition is the apparently innocuous assumption that if a word like "good" is to mean something, there must be some thing (or at least some property) that it means.
Strevens (2003) argues that, given some apparently innocuous background assumptions, a winner takes all system of rewards will lead to a greater chance of success than systems that might seem fairer to us, such as systems in which researchers are rewarded in proportion to expended effort or for reaching the finish line just behind the winner.
Although these assumptions are innocuous for current advanced countries, one can question their validity in the pre-industrial world.
Despite its comparative simplicity, the simulator involves assumptions that appeared innocuous in the Fortran implementation, but are now revealed in Simile to have substantial consequences for resulting predictions.
This assumption is not innocuous.
The overall conclusion is that simulation assumptions are far from innocuous.
But to reveal the pernicious assumptions behind these professedly innocuous words will take more than a sophisticated search engine.
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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