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Glossary · Language

Distortion

In the NLP Meta Model, distortion is the twisting of a process into a thing, a cause, or a mind-read so that a guess is spoken as if it were the event.

Also called cause-effect, mind reading, complex equivalence.

NLP Knowledge Base Editorial · Reviewed 3 September 2026

What distortion means in the Meta Model

If deletion leaves information out, distortion, in NLP practitioner literature, rearranges what is there. A process becomes a noun (“I have no confidence”). Two events are glued into one cause (“You make me late”). A guess about another mind is stated as perception (“She thinks I’m useless”).

The Meta Model groups those moves so that a practitioner can ask for the missing verb, the actual sequence, or the evidence for the mind-read. Mind-reading, cause–effect and complex equivalence are names inside this heading. They stay described here rather than as separate glossary entries.

“Distortion” here is a classroom word. It does not mean the speaker is dishonest, and it is not a clinical diagnosis.

Why it matters in the model

Distorted sentences are often where beliefs live. “The silence means they have given up” treats one reading as the fact. Asking how the person knows can reopen the scene. Reframing sometimes offers another reading of the same silence. The Meta Model question comes first if the original reading has not even been checked.

Example and the usual question

“You make me anxious in reviews.” A distortion-informed question is How, specifically, does my asking a question lead to the tightness you notice? The speaker might then say, “When you pause after my first sentence I assume you have already decided.” That is a sequence. “You make me” was a cause glued on.

The question is not a denial of the feeling. It is a request for the chain.

Limits

Cause and mind-reading are ordinary human talk. Unpacking every metaphor is a way to dominate a conversation. NLP did not invent the idea that people infer. See Meta Model.

Related terms

  • Meta Model

    The Meta Model is an NLP questioning pattern that challenges deletions, distortions and generalisations in speech so that a vaguer statement can be recovered as a more specific description.

  • Deletion

    In the NLP Meta Model, deletion is the leaving-out of detail in a sentence so that a listener cannot tell who, what, or how without asking.

  • Generalisation

    In the NLP Meta Model, generalisation is the stretch from a few cases to always, never, everyone or must — a local pattern spoken as a rule.

  • Beliefs

    In NLP, beliefs are treated as generalisations a person lives by — descriptions that organise attention and behaviour — rather than as proven statements about the world.

  • Reframing

    In NLP, reframing is offering another meaning or another context for the same facts so that a stuck description becomes a description a person can work with.

See also

Other terms in language

Deletion · Generalisation · Hypnosis · Meta Model · Milton Model