Diane's under-the-hood reflections

Table of “Go Slow to Go Fast”

So I’ve now gone through the chapter in Carlos’s book on slower is faster in an effort to find some ideas for images.  I abstracted his examples into the following table:

ExampleFastSlowSweet SpotImportant variables
Tortoise and Hare Hare travels with consistency and perseverance  
Task completion, productivityToo fast and we create stress, make mistakes, breakdownToo slow and productivity suffers, workers slack offPace at which mistakes are tolerated 
RacingFast pace leads to burnoutToo slow creates self-shamePace at which energy use allows one to complete the race at the best possible time.Type of sport, distance, individual athlete, other
Evacuating a crowded spacePanic leads to pushing, trampling, slow exit (turbulent flow)Obstacles to exit like the seats on an airplane prevents nervous pushing (laminar flow)Constant unobstructed passage of individualsLevel of panic and nervous pushing, size of exit, density of crowd, obstacles to exit
Highway trafficIncreasing speed increases the safe distance needed between carsLower speed has shorter safe distanceMatch between density, speed, space available to enable smooth (laminar) flow.As density increases more space is needed
Consumption of preyIf predator consumes prey too fast, might starve to deathPrudent predators propagate fasterSteady supply of prey
FisheriesTake too much too fast and limit the ability to replenish Matching removal and renewal 
Creative ProcessToo fast and no room for idle curiosity Maximum creativity is when a (dynamic) balance between work and idleness is achieved. 
Searching for solutionsExploitation: taking advantage of current solutions and trying out small variations: DepthExploration: trying very different solutions; BreadthWe discover the precise balance only by trying. 
Raising childrenToo much praise; why botherNot enough praise, lack of motivation
GeneralizationA variable (speed, energy, stress) increases the desired property of the systemIf it is increased “too much”, there is a phase transition, i.e., the “rules of the game” change, and the desired property is reducedUsually, the most desirable situation is found near the phase transition; that is, balancing aspects of both phases. However, in many systems, this phase transition moves constantly.Balance can change; and in some cases, it cannot be known beforehand

Although incomplete I will share this with Chris and Sam to see which ones catch their attention and might be ripe for some image creation.