I didn’t plan to find this.
It started with a spreadsheet of 1,842 usernames—just random handles scraped across four social platforms between February and August. I ran them through a basic linguistic-mapping script at 2:43 AM one night, expecting nothing.

But what came back made no statistical sense.

Out of 1,842, exactly 612 usernames (33.22%) reassembled into geo-encoded fragments: place names, old township codes, and sometimes even direct marketing tags. I cross-checked with archived