Catching a frisbee is difficult but doing so successfully requires the catcher to weigh a complex array of physical and atmospheric factors, among them wind speed and frisbee rotation.
Were a physicist to write down frisbee-catching as an optimal control problem, they would need to understand and apply Newton’s Law of Gravity.
Despite this complexity, catching a frisbee is remarkably common. Casual empiricism reveals that it is not an activity only undertaken by those with a Doctorate in physics. It is a task that an average dog can master. Indeed some . . . are better at frisbee-catching than humans.
So what is the secret of the dog’s success? The answer, as in many other areas of complex decision-making, is simple. Or rather, it is to keep it simple. For studies have shown that the frisbee-catching dog follows the simplest of rules of thumb: run at a speed so that the angle of gaze to the frisbee remains roughly constant. Humans follow an identical rule of thumb.
Catching a crisis, like catching a frisbee, is difficult. Doing so requires the regulator to weigh a complex array of financial and psychological factors, among them innovation and risk appetite. Were an economist to write down crisis-catching as an optimal control problem, they would probably have to ask a physicist for help.
Yet, despite this complexity, efforts to catch the crisis frisbee have continued to escalate.
Casual empiricism reveals an ever-growing number of regulators, some with a Doctorate in physics. Ever-larger litters have not, however, obviously improved watchdogs’ Frisbee-catching abilities. No regulator had the foresight to predict the financial crisis, although some have since exhibited supernatural powers of hindsight.
So what is the secret of the watchdogs’ failure? The answer is simple. Or rather, it is complexity. For what this paper explores is why the type of complex regulation developed over recent decades might not just be costly and cumbersome but sub-optimal for crisis control . . .
Herbert Simon, the father of decision-making under uncertainty, believed human behaviour followed simple rules. More than that, it was precisely because humans operated in a complex environment that they sought such simple behavioural rules . . . Simon used the word “heuristics” to describe these simple rules . . .
Part of the attraction of these approaches is that they fit the decision-making facts. In many real-world settings heuristics are the rule, not the exception. This is not confined to Frisbee-catching dogs . . . It has also been found to be true in many aspects of human decision-making . . .
Einstein wrote that: “The problems that exist in the world today cannot be solved by the level of thinking that created them”. Yet the regulatory response to the crisis has largely been based on the level of thinking that created it. The Tower of Basel, like its near-namesake the Tower of Babel, continues to rise.
Andrew G. Haldane and Vasileios Madouros, “The dog and the frisbee [PDF]”, speech at The changing policy landscape, Federal Reserve Bank of Kansas City’s 366th economic policy symposium; Jackson Hole, Wyoming, 31 August 2012.