Scale precision trade off

The larger the picture the more blurry it is. Is it a limitation of human brain?

When you start to appoximate to make sense of the data you’re increasing the scale and decreasing the precision.

Another point global/local global picture appoximate local picture. What is divergence? Is it local anomaly, local pros&cons over average?