A Framework for Finer Exploration of Human Behaviour

Published: January 17, 2015

Antano Solar John is the creator and developer of the most advanced technologies to design and fast-track personal evolution and an investor in startups that have access to cutting-edge solutions for personal excellence.

Episode 12: The framework of Neuro Linguistic Programming, the guiding principle that makes it unique and extremely powerful is discussed in this podcast. I also address where do they come from and what it can mean to you. I close with some pointers on how to use this knowledge to train yourself to master your understanding of human behaviors further.

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The Antano Solar Voice  is one of the most cutting-edge blog and podcast in the world with fresh insights from validated life experience. The Solar Voice season 1 podcast has been ranked #3 in Apple iTunes News & Noteworthy. And the posts have been published in over a dozen publications including Business World, YourStory, Hindu Business Line, Economic Times and  many more. To listen to any of the past episodes for free, check out this page. And to read the past article, check out the blog page.

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  1. Dear Antano — excellent post and needs to be digested and implemented to get the full impact of the same in one’s life.

  2. Hi Antano…. I really like the way you explain and clarify concepts with innovative examples….this also helps in context of training when we talk about behavior patterns like PAC-concept (TA-Model) etc.. and improves relationship…Thanks Antano and look forward for the next podcast.

  3. Hi Antano, needless to say that its a really helpful post.I realize that even though I try to stay out of categorization, it somewhere colours my thoughts and shows in my behaviour and action.I am going to try the one week practice you suggested and see if it becomes a ‘tote’.That’s powerful !! Thanks yet again !!

    1. Thank you Sriparna! One way to successfully do what you have mentioned, is using the Meta Model distinctions. So, every time you categorise, get finer distinctions by asking the meta model questions to yourself. Do, let me know what comes from all this… :)

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