contributor Tom Owad just published a mind-blowing how-to on his website explaining how to mine Amazon's wish list database to uncover "subversives."
Using a pair of 5-year-old computers, two home DSL connections, 42 hours of computer time, and 5 man hours, I now had documents describing the reading preferences of 260,000 U.S. citizens.
I downloaded all the files to an external 120 GB Firewire drive in UFS format. The raw data occupied little more than 5 GB. I initially wanted to move all the files into a single directory to facilitate searching, but as the directory contents exceeded 100,000 items, the speed became glacially slow, so I kept the data divided into chunks of 25,000 wishlists.
Next comes the fun part – what books are most dangerous? So many to choose from. Here's a sample of the list I made. Feel free to make up your own list if you decide to try some data mining. Send it to the FBI. I'm sure they'll appreciate your help in fighting terrorism.
Reader comment: Anonymous says: "[This] method for grabbing the wishlists is
overly complicated. Amazon's web services API allows programmatic access to wishlist
information, making it even easier for a savvy programmer to quickly
compile a list of customers interested in certain books."
I asked Amy Parness, the co-founder of Sparkle Labs, maker of fantastic educational electronics kits, to write a Medium post about gender and the business of being a maker business person. Her terrific essay calls out the problems with “pink girly engineering kits.” From Medium:
Zero UI is the new term for “invisible interfaces”—what happens in the future when all the clicking and tapping and typing is history: “If you look at the history of computing, starting with the jacquard loom in 1801, humans have always had to interact with machines in a really abstract, complex way.” [Fast Company]
CEO Dick Costolo will resign, to be replaced in the interim by Jack Dorsey
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