Sam L. Savage

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Sam L. Savage



Sam L. Savage is a Consulting Professor of Management Science and Engineering at Stanford University, and a Fellow of the Judge Business School at the University of Cambridge.

Average rating: 3.87 · 598 ratings · 43 reviews · 8 distinct worksSimilar authors
The Flaw of Averages: Why W...

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3.86 avg rating — 566 ratings — published 2009 — 13 editions
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Decision Making with Insigh...

really liked it 4.00 avg rating — 17 ratings — published 2003 — 5 editions
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Chancification: How to Fix ...

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4.07 avg rating — 15 ratings
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Management Science Quantita...

0.00 avg rating — 0 ratings — published 1993 — 2 editions
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Production and Operations M...

0.00 avg rating — 0 ratings — published 1993
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Insight.xla: Business Analy...

0.00 avg rating — 0 ratings — published 1998
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Fast POM: Fundamental Analy...

0.00 avg rating — 0 ratings — published 1994
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Adding Distributions to ASCAM

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“The five stages of model development. —Donald Knuth, Stanford computer scientist Knuth discovered that computer program development goes through five stages. These steps also apply to building models, and I rigorously adhere to them in my consulting work. 1. Decide what you want the model to do. 2. Decide how to build the model. 3. Build the model. 4. Debug the model. 5. Trash stages 1 through 4 and start again, now that you know what you really wanted in the first place. Once you realize that step 5 is inevitable, you become more willing to discard bad models early rather than continually to patch them up. In fact, I recommend getting to step 5 many times by building an evolving set of prototypes. This is consistent with an emerging style of system development known as Extreme Programming.2 To get a large model to work you must start with a small model that works, not a large model that doesn’t work. —Alan Manne, Stanford energy economist”
Sam L. Savage, The Flaw of Averages: Why We Underestimate Risk in the Face of Uncertainty



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