When learning the course of sampling, I meet the following two statements:

1) Sampling error leads to mostly variability, nonsampling errors lead to bias.

2) Because of nonsampling error, a sample is often more accurate than a CENSUS.

I do not know how to understand these two statements. What is the underlying logic for getting these two statements?