Writers have always written, not knowing about who or where their readers are. This mashup will show where the readers are coming from, who read a writer's article, or where the readers come from, who care about the same topics as any tag in the system. We will use zip codes, which we have on record, for our members, or IP address, for non-registered visitors, to map where readers of a specific article come from. Since articles are also tagged, we can pull tag contact data for people as well, and map tags based on who's visited from where-- for any article. When writers know more about where their readers come from, that could/will change the way they think about their readers and could change how they write. This could have a powerful effect upon editorial decisions too. Since thousands of tags will be easily checked for how they "map", it will be possible to asses reach of the site and editorial policy in new ways. Writing, news, Op-eds, the media-- they are essential elements of democracy. Understanding which aspects of the writing are reaching WHERE, for each article, or groups of articles, or by the author-- all of these should be easily pulled together using the system we've already built for managing content. Even on more local levels, if we can tap the power of google analytics to pull IP info and map it to local, county or state levels, this could be powerful, since we also tag our content by locale. For example, if a writer writing on water pollution discovers that the lower part of a county is seeing the articles, but not the upper level, and a river runs through the county, that could easily help the writer identify where further outreach is needed.