Psychology of Intelligence Analysis (1999)
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Re: Psychology of Intelligence Analysis (1999)
#2Re: Psychology of Intelligence Analysis (1999)
#3I once gifted a book I wrote about empirical measurement and stats to someone who turned out to be a CIA analyst instructor. She gave me a copy of this book in return. It was astonishing how well the ideas mapped.
Re: Psychology of Intelligence Analysis (1999)
#4This is from 1999. Meanwhile, IARPA now conducts studies where intelligence analysts look at various *INT layers of data stacked on top of eachother and cognitive modelers try to recreate the biases they demonstrate in the lab. See:
The Neural Basis of Decision-Making During Sensemaking: Implications for Human-System Interaction
https://www.researchgate.net/publication/278679336_The_Neura...
Re: Psychology of Intelligence Analysis (1999)
#5I once gifted a book I wrote about empirical measurement and stats to someone who turned out to be a CIA analyst instructor. She gave me a copy of this book in return. It was astonishing how well the ideas mapped.
What was the (name of) the book you gave?
Re: Psychology of Intelligence Analysis (1999)
#6I once gifted a book I wrote about empirical measurement and stats to someone who turned out to be a CIA analyst instructor. She gave me a copy of this book in return. It was astonishing how well the ideas mapped.
What was the (name of) the book you gave?
The Mature Optimization Handbook
Re: Psychology of Intelligence Analysis (1999)
#7[deleted]
Re: Psychology of Intelligence Analysis (1999)
#8Re: Psychology of Intelligence Analysis (1999)
#9This is a must read for anyone responsible for making decisions based on data...it is truly eye opening.
Re: Psychology of Intelligence Analysis (1999)
#10This is so cool. I'm an analyst at a tech company, I wish we had more structure used in our day to day analytical work. Too often we conduct satisfying analysis to inform decisions - the number and impact of the decisions we inform determines our success as an analyst. I would love bandwidth to approach a problem with no prior assumptions, but doing so takes too much time.
Any other resources like this that I might find interesting and impact the way I go about analytical work?