<p>We might need to do a few things before adding new tags.  It would help me, and perhaps others, to have guidance on tagging principles: should we aim for more generality, thereby associating each tag with more threads and enriching their semantic web, or aim for more specificity, which risks "Balkanizing" otherwise related ideas?  Second, there seem to be plenty of redundant or potentially redundant tags, such as {book, books}, {computational-statistics, computing}, {discriminant, discriminative}, {distribution, distributions}, {modeling, modelling, explanatory-models}, {regression, linear-regression}, {pdf, distributions}, etc.  These could use some cleaning up or at least contributions to their wikis to disambiguate them.  Third, some tags seem to reference groups of ideas and perhaps should be broken up into multiple tags, like data-subjective, linear-regression, and perhaps a few others.</p>
