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Memes in the Watson category “/technology and computing/consumer electronics/game systems and consoles/nintendo”

1–7 of 7

Anecdote About the Timex Sinclair

Walking on, he explains to her that Sinclair, the British inventor, had a way of getting things right, but also exactly wrong. Foreseeing the market for affordable personal computers, Sinclair decided that what people would want to do with them was to learn programming. The ZX 81, marketed in the United States as the…

There is No "Pokemon Gap"

While educators debated whether children learn to read best through drill-and-practice phonics or "whole language" instruction, Nintendo was, quite informally, teaching a generation of children how to read. Pokemon also taught children how to analyze and classify more than 700 different types of creatures through…

Role-Playing Game Manifesto

These rules are written on paper, not etched in stone tablets. Rules are suggested guidelines, not required edicts. If the rules don't say you can't do something, you can. There are no official answers, only official opinions. When dice conflict with the story, the story always wins. Min/Maxing and Munchkinism aren't…

The Nintendo Effect

Technology can play an important role, but we haven’t had the time or wherewithal to explore it fully. I’m waiting for a breakthrough process, which I think may happen in mathematics. The people at Nintendo figured out billions of dollars ago that you pull kids in, you get them engaged, and that’s the model…

Religion is Comforting

Science is complex and chilling. The mathematical language of science is understood by very few. The vistas it presents are scary—an enormous universe ruled by chance and impersonal rules, empty and uncaring, ungraspable and vertiginous. How comfortable to turn instead to a small world, only a few thousand years old…

Publication Bias Produces a "Decline Effect"

Jennions, similarly, argues that the decline effect is largely a product of publication bias, or the tendency of scientists and scientific journals to prefer positive data over null results, which is what happens when no effect is found. The bias was first identified by the statistician Theodore Sterling, in 1959…