The Nintendo way of adapting technology is not to look for the state of the art but to utilize mature technology that can be mass-produced cheaply.
This is the reason a Nintendo console never has the fastest chips or the beefiest specs of its generation; instead, its remixes components in an interesting and generative way. Think of the Gameboy’s monochrome screen, the Wii’s motion controller, the Switch’s smartphone form.
[Gunpei Yokoi] is talking about reliability and predictability, in performance and supply alike. He wants the components to be boring, so their application can be daring.
This visualization takes the current New York Times Best Sellers list for combined print and e-book fiction and scales each title according to the demand for its e-book edition at a collection of U.S. public libraries, selected for their size and geographic diversity.
This is a kind of manifesto about the difference between liking something on the internet and loving something on the internet.
It’s also an experiment in a new format: a “tap essay,” presenting its argument tap by tap, making its case with typography, color, and a few surprises.
Analytics apps don't tell you much about usage behavior. You might be able to see how many users performed an event, or how many times they did it. But none of the analytics packages out there are good at showing you how often people do things. Are they using to-dos once a week? Every day? Only signing into the app once a month but happily paying for years?
Time matters. You can't understand usage without time.