Neurologist Oliver Sacks explains Charles Bonnet syndrome (pronounced sharls bon-A) a type of visual hallucination that affects 10% of visually impaired people. About 10% of hearing-impaired people get auditory hallucinations (most commonly music) for similar neurological reasons. Most are afraid … Continue reading
When I began my NLP training in 2002, I quickly embraced the myth of the NLP “quick fix.”
To their credit, my trainers were fairly low-key about what NLP could do. But they did promote the idea of NLP working “much faster” than alternatives, such as conventional therapy. And during training, my fellow students and I were often able to quickly fix some of our own and other people’s problems. Sometimes these were issues that had endured for decades, yet with NLP we could resolve them in under half an hour.
Many of us NLP students, including me, quickly developed overblown ideas of what NLP (and we) could accomplish.
Continue readingNLP expert Andy Austin explains the anatomy of post-traumatic stress disorder — including the hidden factor that drives the PTSD trauma:
(This clip is part of the 2009 NLP Advanced Mastery Training video series, featuring Andy Austin, Steve Andreas, and Steven Watson. )
Continue readingA trauma is a strong, persistent, negative emotional response to a past event, or reminders of it.
Trauma characteristics:
In the video link below, Tom Stone of Great Life Technologies demonstrates a quick and simple method for quickly resolving PTSD and emotional traumas.
Video: http://www.vaporizeyourcombatstress.com/Resolution.html
From my analysis of Tom’s video, the steps are:
Today I’m going to remind you of a simple NLP pattern that can help you:
You already know this skill. You learned it during NLP training, and use it during interventions.
But you probably haven’t generalized it to everyday life. (Most NLPers don’t.) This subtle shift in language can make a big difference.
Continue readingThis is an NLP modeling, research, and development blog. In a previous post I defined NLP modeling. In future articles, I’ll write about my process for modeling, and reveal modeling tips and tricks. Today, I discuss how NLP and modeling relate.
When most people talk about NLP, they mean:
However, I and most NLP developers regard another aspect of NLP as more important:
As an NLP modeler, I’ve learned to ask “How do people do that?” about nearly everything. Often the most mundane, taken-for-granted behaviors yield the most surprising and intriguing results.
Unresourcefulness, for example. It’s not surprising that people can get unresourceful when they have no clue how to do something, or have failed in the past. Especially if the task or project is important, or has large consequences.
It is surprising that people get unresourceful about skills they know they can do, and have done successfully many times before.
Continue readingHow a person structures “now” on their timeline has a big effect on their quality of life. Two important distinctions about now are:
If now is physically small, the person is likely to feel pressured or harassed, as though there is literally not enough time to get things done.
If now is spacious, they are likely to experience of having plenty of time, even when they have a lot to do and not much actual time available.
If now is enormous, the future may seem irrelevant because it is so small and far away. This works well for meditating, but can cause significant problems in day-to-day life.
Continue readingDr. Lewis Walker, author Changing with NLP: A Casebook of Neuro-Linguistic Programming in Medical Practice
I think that when someone has had a longstanding chronic problem over many years, in virtually all areas of life there are huge numbers of contextual anchors (people, places, color schemes, sounds, voice tones, postures, gestures, etc.) that keep it alive… Chronic re-exposure to these myriad anchors after a session is one way in which the problem can recur over time to a varying degree…
I have experienced this anchor issue myself in making major life changes. It’s a big problem for a lot of people.
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