Hunting the Lion

Leo McGineva never existed: to begin with. There is no doubt whatever about that. Theodore Levitt at least tried to give a proper attribution; too many people now attribute the remark in question to Levitt himself. What remark you ask, and whence did it come? Excellent questions that have preoccupied the Mole for many hours… Continue reading Hunting the Lion

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Categorized as Mole End

The Mole’s Favorite SARS-Cov-2 Links

Worldometers (https://www.worldometers.info/coronavirus/#countries) 91-DIVOC (http://www.91-divoc.com/pages/covid-visualization/), the best way to monitor on a log scale. Looking at NY and CA on the US State-level data and switching between log and linear is a great way to build intuition about the math of flattening the curve. SF Chronicle tracker (https://projects.sfchronicle.com/2020/coronavirus-map/), a quick reference for the daily Bay Area… Continue reading The Mole’s Favorite SARS-Cov-2 Links

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Categorized as Mole End

Fill in the Blank

At times The Mole displays behaviors that might be variously described as having a very narrow craw, or a jaw with a death grip, or an obsessive inability to forget and move on.  Today’s object lesson starts on 23 April 2010 — yes, The Mole not only wrestles with ideas over the span of a… Continue reading Fill in the Blank

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Categorized as Mole End

Dr. Bayes will see you now

Got blood?  Here’s an elegant example of the positive power of data-informed decision-making. Transfusions save lives, but they are also expensive and not without risks.  Each decision whether or not to transfuse is the output of some decision-making process, presenting the opportunity to reach a better balance by improving the algorithm.  It may one day… Continue reading Dr. Bayes will see you now

Does Nicolas Bourbaki read Charles Dikkens?

Let’s start the year with an example that is, at least superficially, on the light-hearted side:  librarians creating fake patrons to check out important books that would otherwise be discarded for lack of popularity.Underneath are two deep and important dysfunctions.  The specific one — aiming to show people only what they are likely to want… Continue reading Does Nicolas Bourbaki read Charles Dikkens?

Game the metrics? Fluxx that!

Here’s an interesting way to take metrics dysfunction to an entirely different level.  Examples abound of optimizing for only easy-to-measure aspects of an activity and getting, well, what was measured.  The new and innovative idea described here is to select among activities based on which of them have easy-to-obtain metrics.  Another way to look at… Continue reading Game the metrics? Fluxx that!