Efforts Update: December 6, 2014. Psychoanalysis and Statistics

December 6, 2014 at 12:37 pm (Art, Rant, Teaching, Thinking) (, , , , , , , , , , )


Lately I’ve been reading a lot about the works of Carl G. Jung; a titan in the field of psychoanalysis, and psychology in general. I picked up one of his books on Amazon for my Kindle: The Theory of Psychoanalysis. I’ve been curious about his actual work and theories for some time as my prior research has shown that probably all personality analysis theories are derived from his writing.

The book is surprisingly well written and easy to understand. I’m still only 30% through the book right now, but he covers Freud’s theories and where the line of separation is from his own. He actually goes as far as to defend Freud’s more controversial theories on psycho-sexuality in children, although most of his frustration was clearly with the scientific community at the time. Apparently Freud had received responses that were more emotionally-driven than factually, however I think that this is understandable and even expected given the subject matter. I haven’t yet investigated Freud’s work and prior life to understand where his approaches came from, but there are only so many minutes in a day.

Getting back to Jung, I’ve also picked up the Kindle copy (text only) of his Red Book. He kept a secret book filled with notes, illustrations, and illuminations describing his self-analysis during a period where he wrestled with what he thought to be his own unconscious. I’ve only gotten through the biography chapter so far, but even that part sheds a LOT of light on why his work developed the way it did.

His artwork is extremely well done; he was an accomplished painter and you can see the influence of the Mayan and Inca art that he studied while he was in France. It actually reminds me of the Sharpie artwork created by one of my friends. He uses a similar style of geometric forms in his work as well.

Outside of the study of Jung’s work, I’ve also been spending a fair about of time studying statistics and the R programming language. Hosted on Coursera, there is a great course with video lectures created by the biostatistics lab at Johns Hopkins University. It’s coming along slowly because I’ve been bouncing between several courses to pick out the most interesting and immediately useful stuff, but they’re nicely done.

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