[HN Gopher] How to Think Like a Detective
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       How to Think Like a Detective
        
       Author : zameermfm
       Score  : 14 points
       Date   : 2021-10-18 04:23 UTC (1 days ago)
        
 (HTM) web link (psyche.co)
 (TXT) w3m dump (psyche.co)
        
       | ra wrote:
       | A lot of these principles are great for investigating complex
       | bugs/incidents. e.g:                 - Assume nothing
       | - Believe nothing            - Challenge and check everything
       | - use a mindmap            - seek alternative explanations
       | - recruit a devils advocate
        
       | germinalphrase wrote:
       | Is there a "best fundamentals" book about detective work akin to
       | how "Freedom of the Hills" is the best fundamentals book on
       | mountaineering?
        
         | nanomonkey wrote:
         | I'd love to see a list of these books when they exist:
         | 
         | Rex Feral - Hit Man
         | 
         | Stick and Rudder: An Explanation of the Art of Flying ...
         | 
         | By the way, there is a section of the article where they
         | mention books:
         | 
         | The book Blackstone's Senior Investigating Officers' Handbook
         | (5th ed, 2019) by Tony Cook is a unique one-stop guide to all
         | the processes and actions involved in conducting major
         | investigations, presented in a clear and understandable
         | fashion.
         | 
         | For my PhD thesis The Making of an Expert Detective: Thinking
         | and Deciding in Criminal Investigations (2016), I drew on
         | theoretical frameworks developed in social and cognitive
         | psychology to examine the degree to which individual and
         | systemic factors can compensate for inherent biases in criminal
         | detectives' judgments and decision-making.
         | 
         | The book The Routledge International Handbook of Legal and
         | Investigative Psychology (2019), edited by the psychologists
         | Ray Bull and Iris Blandon-Gitlin, explores contemporary topics
         | in psychological science, applying them to investigative and
         | legal procedures. Featuring contributions from recognised
         | scholars from around the globe (including myself), it brings
         | together current research, emerging trends, and cutting-edge
         | debates in a single comprehensive and authoritative volume.
         | 
         | The book Superforecasting: The Art and Science of Prediction
         | (2015) by the political scientist Philip E Tetlock and the
         | author Dan Gardner offers a deeper insight into prediction,
         | drawing on decades of research and the results of a massive, US
         | government-funded forecasting tournament. The Good Judgment
         | Project involves tens of thousands of ordinary people -
         | including a Brooklyn filmmaker, a retired pipe-installer, and a
         | former ballroom dancer - who set out to forecast global events.
         | Some of the volunteers have turned out to be astonishingly
         | good. These 'superforecasters' have beaten other benchmarks,
         | competitors and prediction markets. They've even beaten the
         | collective judgment of intelligence analysts with access to
         | classified information.
         | 
         | 'Correlation does not imply causation': for decades, this
         | mantra was invoked by scientists in order to avoid taking
         | positions as to whether one thing caused another, such as
         | smoking and cancer, or carbon dioxide and climate change. But
         | today, that taboo is dead. The causal revolution has
         | (seemingly) cut through a century of confusion, and placed
         | cause and effect on a firm scientific basis. The Book of Why
         | (2018) by the computer scientist Judea Pearl and the science
         | writer Dana Mackenzie explains causal thinking to general
         | readers, showing how it allows us to explore both the world
         | that is and the worlds that could have been. It is the essence
         | of human and artificial intelligence. And just as these
         | scientific discoveries have enabled machines to think better,
         | The Book of Why explains how we too can think better. ```
        
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       (page generated 2021-10-19 23:00 UTC)