If a frequency of sites spatially and of data collection over time can produce enough dynamically significant data points to satisfy the requirements of Chaos (eg, antialiasing, bifurcation), then we can know just how badly we are measuring the climate, and whether some currently ontic variability is really aleatory, or may be semi-deterministic in some spans and scales if only we have
enough granularity in our sampling.
Not exact matches
The controllers are able to detect if a magnet is close, but not well
enough for
granularity (not really, just a bit).
At the same time, it's unfortunate the column doesn't comment on the fact that many in poverty may have been so devastated by institutional forces allied against them that their «emotional
granularity» may have been «beaten out of them,» and that Social Emotional Learning Isn't
Enough.