NLP Now – The META MODEL – Complex Equivalence


The Meta Model looks at the language patterns we make, which are made at the surface level (click to read) to recover the deleted information.

A Complex Equivalence creates a conclusion which is held as true from two unrelated events.

There is nearly always the use of or a implication of the words “means that.”


She is going to leave me, she has not baked a chocolate cake.”

Can be challenged by:-

“What makes you think not baking a cake means she will leave you, perhaps she has no flour?”


“You are too old, you will never learn.”


“Do only young people learn new things?”

Sometimes there is an overlap between Cause and Effect and Complex Equivalence. Cause and Effect has a time element or implication that will happen in the future, whereas, Complex Equivalence happens now or concurrently.

Back to Meta Model diagram (click)

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