I discovered a report on a White House marketing campaign disguised as grassroots letters to the editor. It reveals how political messaging is surreptitiously seeded into local newspapers to influence public opinion.
I've shared the US Postal Service's curated archive of historical correspondence, which features everything from famous love letters to children's notes to Santa. These documents offer a personal glimpse into American life through the mail.
I analyzed text editors like Crimson Editor and Notepad++ based on my needs for column editing, Unicode support, and responsiveness. While no single tool hits every mark, I currently juggle multiple editors to get work done.
I used Claude Code and Python to find English words with high letter concentrations, like "ASSESSES". I then generated a humorous xkcd-style narrative about the data, demonstrating how style catalogs can make technical analysis much more engaging.
I explore the Mother Jones 400 report detailing major campaign donors and their expectations. The data reveals a powerful correlation between fundraising and political success, as higher-funded candidates won all but 29 of 469 seats.
Learn how we process text by identifying component letters simultaneously rather than relying on overall word shape. This cognitive psychology perspective from Microsoft explains the underlying mechanics behind reading and visual word recognition.