  It is well known that the best way to understand astronomical data is through
machine learning, where a "black box" is set up, inside which a kind of
artificial intelligence learns how to interpret the features in the data. We
suggest that perhaps there may be some merit to a new approach in which humans
are used instead of machines to understand the data. This may even apply to
fields other than astronomy.
