For who makes rainbows by invention? And many standing round a waterfall See one bow each, yet not the same to all, But each a hand’s breadth further than the next. Gerard Manley Hopkins
What good is trial and error learning when a system’s massive error means no trials possible thereafter? You do not want to push an infrastructure’s control operators into prolonged unstudied conditions and then wonder why they aren’t reliable.
Some think this concern a 21st century Luddism. “First off,” the project designer tells us, “I’m always working in unstudied conditions on every new project. I’ve got to make all manner of assumptions…” I counter: Surely, the challenge of the project designer and like professionals is to find out what are the better practices for starting off complex project designs? These are the practices that have emerged and been modified over a run of different cases and shown to be more effective.
Someone still pipes up, “But how can a field or discipline grow if it doesn’t move into unstudied conditions by doing something the first time…” This is often said as if it were established fact. Here too better practices are to be first searched for. Or where they aren’t found, then, yes, systemwide innovation should not be undertaken if it reduces options, increases task volatility, and diminishes maneuverability in real-time complex system operations.
“But, there always has to be someone who does something for the very first first-time, right?”
Dutch bluntness is now called for: “That in no way absolves you, the professional, from the burden of proof that when you say you’re doing something for the very first time it indeed is the very first time it has ever been do. . .” You’re an adult; get a grip; this is a planet of 7 plus billion, after all. You don’t get to buy indulgences to lapse where others have learned better.
“But still,” our friends, the economists, interrupt. “What about the pivotal role to society of the innovation economy—of creative destruction?” Well, yes, that’s important–yet so too are the infrastructures upon which capitalism and the innovation economy depend. To treat innovation as more important than the infrastructures without whose reliability there wouldn’t be most innovations risks Mercator’s projection: It distorts by over-enlarging the already large.
Innovationists don’t see it that way. The risks they take end up the price few of the rest of us ever thought we’d have to pay.