Thank you, and thanks for your responses to my comments.
I'm not convinced that's what Matthew Edney means in his objection number 1. While he mentions the importance of metrics being independent of each other in his objection number 5 regarding flexion and skewness, he makes no mention of this in his objection number 1 regarding distance error.I think the objection is about jumbling up distortion metrics that are not independent of each other.
Goldberg and Gott kindly made their IDL code freely available to download when they published their 2007 paper, and I've been playing around with it for some time now. I can report that distance error, at least the way Goldberg and Gott define it, appears to be no more strongly correlated with angular deformation and areal distortion than flexion and skewness are.
I've quickly made six plots in Excel showing correlations (or a lack thereof) between different distortion metrics for 72 projections, all with twofold symmetry and all interrupted along one meridian. I see I can only attach three files at a time. I'll describe all six plots together in this post and then attach the remaining three in another post. I'll use Goldberg and Gott's nomenclature, where I is isotropy (i.e. angular) distortion, A is areal distortion, F is flexion, S is skewness and D is distance error.
You can see that F is weakly positively correlated with I and weakly negatively correlated with A, whereas S has a minimum for intermediate values of both I and A.
Like S, D also has a minimum for intermediate values of I, but with the data points more scattered. For the plot of D vs. A, the scatter is so great that it's not really clear whether D also has a minimum for intermediate values of A or whether there's a weak positive correlation -- both the highest and lowest values of D occur for equal-area projections.
Fair enough. I hereby retract my criticism of Matthew Edney's objection number 4.I read his objection as more in the final line you left out: “No analysis of how that previous scholar had constructed his metric, how it succeeded, and how it failed (because why else do they present their own?)” Edney is arguing for parsimony here, which is part of responsible research: Why is this even happening?