I suspect that a large proportion of ways that abstract planning fail are due to discontinuous jumps, foreseen or unforeseen. That may be manifested in computer

I suspect that a large proportion of ways that abstract planning fail are due to discontinuous jumps, foreseen or unforeseen. That may be manifested in computer programs, government policy, etc. Continuity of risk, change, incentives, etc. lend themselves to far easier analysis and confidence in outcomes. And higher degrees of continuity as well as lower values of change only make that analysis easier. Of course it's a trade-off: a flat line is the easiest thing to analyze, but also the least useful thing. In many ways I view the core enterprise of planning as an exercise in trying to smooth out discontinuous jumps (and their analogues in higher degree derivatives) to the best of one's ability, especially if they exist naturally (e.g. your system's objective response may be continuous, but its interpretation by humans is discontinuous, how are you going to compensate to try to regain as much continuity as possible?).