Dedomenocracy is a scaled up version of modern data science practice using big data predictive analytics to automate decision making. As a data science project, there is a need to evaluate the data in terms of how closely it represents a fresh unambiguous observation of the real world at a specific time instead of a reproduction of a past observation through model-generated dark data. Darker data involves some level of contamination with historic observations or with our interpretation of past observations. The problem with darker data is that its use of old and potentially outdated data can discount more recent observations that can tell us something new and unexpected about the current circumstances of the world.
In present government, we often set absolutes in policy positions. These absolutes are claims of truth or natural law. When we set an absolute policy position, we categorically reject any policy that contradicts it. I think this is a bad way to govern because by rejecting as absolutely wrong certain things that people will do anyway we lose any ability to manage that activity. Our only response to a violation of an absolute policy position is to demand that everyone stop doing it. It would be more productive if we tolerate everything so that we can offer prescriptions for more acceptable or less offense methods of doing the same thing.