The absence of data is not always a bad thing; it can sometimes make a job a lot easier. In decades past, for instance, climate modellers simply didn't worry too much about how turbulent processes in the ocean (known as ocean mixing) affected the outputs of their models. Not knowing how ocean mixing worked may not have been intellectually fulfilling, but it certainly made the models simpler to run.
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