NLP Now – The META MODEL – Complex Equivalence

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.”

Statement:-

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?”

Statement:-

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

Challenge:-

“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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