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The NLP Meta Model and TR’s Precision Model

The NLP Meta Model and TR’s Precision Model. Understanding the patterns And how to respond. Distortions. Mind Reading – Claiming to know someone’s internal state. Ex. “You don’t like me!” Response – “How do you know…” Ex. “How do you know I don’t like you?”

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The NLP Meta Model and TR’s Precision Model

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  1. The NLP Meta Modeland TR’s Precision Model Understanding the patterns And how to respond

  2. Distortions • Mind Reading – Claiming to know someone’s internal state. Ex. “You don’t like me!” • Response – “How do you know…” • Ex. “How do you know I don’t like you?” • Prediction – Recovers the Source of the information.

  3. Distortions • Lost Performative – Value judgments where the person doing the judging is left out. Ex. “It’s bad to be inconsistent.” • Response – • “Who says it’s bad?” • “According to whom?” • “How do you know it’s bad?” • Prediction – Gathers evidence, the source of the belief, the strategy for the belief.

  4. Distortions • Cause – Effect – Where cause is wrongly put outside the self. Ex: “You make me sad!” • Response – • “How does what I’m doing cause you to choose to feel sad?” • A counter example is “How specifically?” • Prediction – Recovers the choice.

  5. Distortions • Complex Equivalence – Where two experiences are interpreted as being synonymous. Ex. “She’s always yelling at me, she doesn’t like me!” • Response – How does her yelling mean that she…?” “Have you ever yelled at someone you liked?” • Prediction – Recovers complex equivalence. Suggests a counter example.

  6. Distortions • Presuppositions – Ex. “If my spouse knew how much I suffered, they wouldn’t do that.” • I suffer. • My spouse acts in some way. • My spouse doesn’t know I suffer. • Response – “How do you choose to suffer?” “How are they (re)acting?” “How do you know he doesn’t know?” • Prediction – Specify the choice & the verb, and what they do. Recovers the internal representation, and the complex equivalence.

  7. Generalizations • Universal Quantifier – Universal generalizations such as all, every, never, everyone, no one, etc. Ex. “She never listens to me.” • Response – Find counter examples. “Never?” “What would happen if she did?” • Prediction – Recovers counter examples, effects and outcomes.

  8. GeneralizationsModal Operators • Modal Operators of Necessity – As in should, shouldn’t, must, must not, have to, need to, it is necessary. Ex. “I have to take care of her.” • Response – “What would happen if you didn’t?” “What would happen if you did?” “Or?” • Prediction – Recovers effects and outcomes.

  9. GeneralizationsModal Operators • Modal Operators of Possibility – As in can/can’t, will/won’t, may/may not, possible/impossible. Ex. “I can’t tell him the truth.” • Response – “What prevents you?” “What would happen if you did?” • Prediction – Recovers Causes.

  10. Deletions • Nominalizations – Process words which have been frozen in time, making them nouns. Ex. “There is no communication here.” • Response – “Who’s not communicating what to whom?” “How would you like to communicate?” • Prediction – Turns it back into a process, recovers deletion, and reference index.

  11. Deletions • Unspecified Verbs – Ex. “He/She rejected me.” • Response – “How specifically?” • Prediction – Specifies the verb or action

  12. DeletionsSimple Delations • Simple Deletions – Ex. “I am uncomfortable.” • Response – “About what/whom?” • Prediction – Recovers the Deletion

  13. DeletionsSimple Delations • Lack of Referential Index – Fails to specify a person or thing. Ex. “They don’t listen to me.” • Response – “Who, specifically, doesn’t listen to you?” • Prediction – Recovers the referential index.

  14. DeletionsSimple Delations • Comparative Deletions – As in good, better, best, worst, more, less, most, least. Ex. “She’s a better person.” • Response – “Better than whom?” “Better at what?” “Compared to whom, what?” • Prediction – Recovers the comparison.

  15. TR’s Precision Model • Simplification of the NLP Meta Model • Uses the fingers as a Mnemonic device to remember the Model.

  16. TR’s Precision Model Too Much Too Many Too Expensive Compared to What?

  17. TR’s Precision Model Nouns: Person Places Things Who or what specifically?

  18. TR’s Precision Model Verbs: Action State or Occurance How Specifically?

  19. TR’s Precision Model What would happen if you did? What causes or prevents? Should / Shouldn’t Must / Mustn’t Can / Can’t

  20. TR’s Precision Model Question the universal… All? Every? Never? Universals All Every Never

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