The [Lake Erie] ecosystem underwent a series of changes, each of which were related. There was an increase in the human population; which led to higher phosophorus levels in the water; which led, at last, to an increased level of algae in the lake. In effect, Lake Erie’s ecosystem was rewritten. Changed by human activities into…something else.
But Franklin cites the study because it’s doing something slightly novel: applying Selye’s principle of stress to ecological systems, suggesting that they are, much like humans, just as susceptible to external stressors. And I’ve been thinking about that a lot lately, especially this week. Because Franklin’s suggesting that the work begins not by “fixing the system.” Rather, she suggests it’s about shifting the priority a little: to removing whatever stress you can.
In the early days, design systems promised us more consistent interfaces, more collaborative teams, and improved shipping times. While they’ve certainly delivered on some of those fronts, they’ve introduced new challenges too. Let’s talk through what’s working well—and what could be working better—as we take a closer look at the systems between us and our work.
A Fermi estimate is a quick-and-dirty solution to an arbitrary scientific or engineering analysis problem. Fermi estimation uses widely known numbers, readily observable phenomenology, basic physics equations, and a bunch of approximation techniques to arrive at rough answers that tend to be correct within an order of magnitude or so. The term is named for Enrico Fermi, who was famously good at this sort of thing.
…It struck me that there is counterpart to this kind of thinking on the synthesis side, where you use similar techniques to arrive at a very rough design for a complex engineered artifact. I call such a design approach Dyson design, after the physicist Freeman Dyson, who was one of the best practitioners of it (not to be confused with inventor James Dyson, whose designs, ironically, are not Dyson designs).