numerical analysis
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Real systems are messy, noisy, difficult to measure, and can be a challenge to control. Organizations and organizational dynamics often exhibit analogous behavior. In control systems, it is common to analyze linear single input single output systems. There is a lot that can be done with those tools. However, applying these tools comes with accepting some compromises. Addressing complexity
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Years ago, my first boss after I finished graduate school shared his beliefs that “all learning applies to everything else” and that “more brains are better for every job.” I learned more from him than I have probably learned from any of my subsequent bosses. Maybe that was him. Maybe that is because of where I was then
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Churchill’s writing style is one that is particularly approachable and engaging for me. His books on the Second World War, in my opinion, are an incredibly interesting perspective on that arc of history. I have always been fascinated by the contrast in strategic philosophies between Churchill and Eisenhower. I don’t recall ever coming across anything
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Years ago, one of my mentors shared the line above as being the summary in an appendix of a book on numerical analysis that he had studied years before our conversation. The full line was “verily I say unto thee, ye compute for insight. Thy numbers are but chaff.” I often reflect on that idea.
Musings of an Analyst 