What Is A Model? We need to know to test between good and bad science.

Before we describe what models are in science, it's best to know, and to never forget, that all models only say what they are told to say.

Models are lists of statements of the form "If this, then that". No matter how large they grow, or how sophisticated, or how mathematical, or how computerized, or how much data that is put into them, or from what sources, their natures are not altered. They are always lists of "If this, then that."

This applies to all models. It does not matter what names those models are given: artificial intelligence, statistical, probability, physical, meteorological, air transport, crop production, chemical, sociological, psychological, genetic, quantum mechanical, machine learning, and on and on. All are the same in essence: all models in every field have the same nature. And all say just what they are told to say---and nothing more.

This is not a limitation or a flaw. It is the way things are.

Here is a simple, common, and most useful model, used by ...

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