And maybe link to your 1100+ elaboration as to why the 5 steps I quoted from you above do not mean you were making a god of the gaps argument.
Ultimately the acceptance of miracles — events where the laws of nature apparently break down — are one example of a "God of the Gaps" argument that ultimately ends up building tensions between science and religion.
Design cases resting upon nature's alleged inability to produce some relevant 'natural' phenomenon are generally assumed to explicitly or implicitly appeal to supernatural agency, and are typically described as "God-of-the-gaps" arguments—a description usually intended to be pejorative.
Thus, the frequent contemporary claim that design arguments all involve appeal to special divine intervention during the course of nature's history that in short design arguments are "God-of-the-gaps" arguments—represents serious historical (and present) inaccuracy e.g., Behe, 1996).
Phenomenal concepts figure also in responses to the Conceivability and Explanatory Gap arguments.
What the Knowledge, Conceivability and Explanatory Gap arguments have in common is that they move from an alleged epistemic gap to a would-be materialism-refuting metaphysical one.
It is the second sense of "what it's like" that figures in anti-materialist arguments from subjects' "knowing what it's like," primarily Nagel's (1974) "Bat" argument and Jackson's (1982) "Knowledge" argument, Chalmers' (1996, 2003) Conceivability argument, and Levine's (1983 , 2001 2010) Explanatory Gap arguments.
Although distinctions are sometimes blurred here, while ID arguments involving each of those Rs tend to be gap arguments, an additional focus on mind-reflective aspects of nature is typically more visible in ID arguments citing specified complexity and information than in arguments citing irreducible complexity.
When overplot=False, which is the default, the scatterplots command creates a grid of plots, with separation given by the gap argument and the spacing between the edge of the grid and the frame by the margin argument.
The adjust_grid_gaps call changes the spacing between the plots; the gap argument of scatterplots could also have been used, but that requires knowing the spacing before the visualization has been created.
The first problem with the skills gap argument is that the employer reports, which form the entire basis of evidence, are about overall hiring rather than jobs filled by recent graduates.
