“Earlier we noted that the kinetic energy of a vehicle was, in part, dependent on the weight of the vehicle; the heavier the vehicle, the more energy it will have at a given speed. It might seem logical, therefore, that a heavier vehicle may require more distance to skid to a stop than a similar, but lighter vehicle. Contrary to this line of thought, the increased friction generated by a heavier vehicle in a skid, directly compensates for the fact that the heavier vehicle initially had more energy. A heavier vehicle may indeed be more difficult to “lock-up” than a lighter vehicle, but once in a skid, the heavy and light vehicles will require the same distance to stop from the same initial speed. For this reason, vehicle weight is not included in the skid-to-stop velocity formula.
V= / 255 m S
V is velocity (km/h)
m is the friction coefficient
S is skidmark length (metres)”
m is low maybe .1 but assumed constant for comparisons. V then controls S. The engineer says, more mass equals more friction but it all nets to no effect on stopping distance. Loss of m means all attempts to change velocity and/or direction are impaired. Low m means all command inputs to the vehicle must be softened. Assuming m of .7 for dry pavement and .1 for icy pavement, control inputs are 1/7th as much as on ice. Which reminds me of the statement, Don’t ask the truck to do what it cannot do. The truck can still do 65 on a straight. It can only slow or turn 1/7th as well. Its stability is probably only 1/7th of normal. Kind of nuts we even drive at 65.
“Low correlation implies sustained output. High correlation implies big peaks and troughs.”
“For people new to wind power, a low correlation is good. A high correlation is bad. Why? If you have 1000x 3MW wind turbines and the correlation of output power between the turbines is high then they will be producing 3GW some of the time, 1.5GW some of the time, and 0GW some of the time – their output power rises and falls in unison.”
His first above statement applies to synchronized chaos I think. Low correlation is our average weather. High correlation is the synching that accompanies regime changes. It would apply to a market bubbles as well where everyone wants to buy and then sell. Does weather literally synch? A few nights ago my small lake finally froze over, going from 1% to 100% coverage. I’d guess it happened over 6 hours. Weakly correlated surface water all did something it does once a year, at the same time. It correlated for a few hours and the lake entered its Winter regime. Correlation would also apply to ice sheets. Gains equal losses, that’s weakly correlated. High correlation is significant sustained gains or losses. Some water is now doing something that usually just averages out.