In order to test that a hypothesis is consistent with current scientific knowledge, I've provided an example.

This example is the case of the phenomena of psychosis and how we set about explaining it.

If we are to provide a concrete neurophysiologic description of psychosis we must first do two things. We must know what category to put it into.

And we must make sure that our description is internally consistent.

Not all internal consistency can be guaranteed with numerical models, although such models help weekd out some of the most difficult sources of internal inconsistency.

The principal laws that must be met, in order to achieve internal consistency, include the following biological laws:

The law of limited resources

The Law of Evolution.

The sub set of laws implicit within Evolution and the Law of limited reousrces:

An expectiation of redundancy within biological systems

An expectation of limited biological resources within the organism.

By making sure that our numerical models meet a given set of criteria, a set of criteria generally consistent with current scientific knowledge, with clear notes about the points at which the model is not conistent, we clear the way for meeting the broader requirements of the scientifc method. Retrieved from "[[]]"

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