Recognizing Constraints An Article by Jeremy Wagner css-tricks.com Super Nintendo games were the flavor of the decade when I was younger, and there’s no better example of building incredible things within comparably meager constraints. Developers on SNES titles were limited to, among other things: 16-bit color. 8 channel stereo output. Cartridges with storage capacities measured in megabits, not megabytes. Limited 3D rendering capabilities on select titles which embedded a special chip in the cartridge. Despite these constraints, game developers cranked out incredible and memorable titles that will endure beyond our lifetimes. Yet, the constraints SNES developers faced were static. You had a single platform with a single set of capabilities. If you could stay within those capabilities and maximize their potential, your game could be played—and adored—by anyone with an SNES console. PC games, on the other hand, had to be developed within a more flexible set of constraints. I remember one of my first PC games had its range of system requirements displayed on the side of the box: Have at least a 386 processor—but Pentium is preferred. Ad Lib or PC speaker supported—but Sound Blaster is best. Show up to the party with at least 4 megabytes of RAM—but more is better. constraints
One and a Half Cheers for List-Keeping An Essay from Field Notes on Science and Nature by Kenn Kaufman I don't need that birdList-chasingThe maximization method
I don't need that bird I worked for several years as a leader of birding tours, and I have met a few sad individuals who were so focused on adding to their life lists that they would refuse to look at a bird species that they had seen before, no matter how spectacular the view or how fascinating its behavior of the moment might be. “I don’t need that bird” was their standard reply.
List-chasing For a person just getting started in some area of natural history, and unabashed focus on list-chasing is a good thing, at least for a while. The trick is knowing when to stop. collections
The maximization method Keith Brown described how he got the idea “that the maximization of daily species lists of butterflies, a seemingly unscientific goal (though much employed in a sister area, ornithology), could give a large scientific fallout." For example, he described how six weeks’ effort in the Brazilian central plateau had turned up twenty-five species previously unknown for the area—but then he had adopted the “maximization” method, and in another six weeks, he had found nearly three hundred more species.