Abstractions and Generalizations are useful. Principal Components analysis is useful. Dimensionality reduction is useful. Models are useful. In the last, we had

Abstractions and Generalizations are useful. Principal Components analysis is useful. Dimensionality reduction is useful. Models are useful. In the last, we had to do these things because our imaging technology storage media couldn't hold full reproductions. Now we have better imaging tech and storage media, so we need to consciously remember to do the dimensionality reduction modelling that we took for granted in the past.