Nabokov's Favorite Word Is Mauve

What the Numbers Reveal About the Classics, Bestsellers, and Our Own Writing

271 pages

English language

Published Feb. 16, 2017

ISBN:
978-1-5011-0538-8
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OCLC Number:
952647993

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(4 reviews)

In Nabokov's Favorite Word Is Mauve, statistician and journalist Ben Blatt brings big data to the literary canon, exploring the wealth of fun findings that remain hidden in the works of the world's greatest writers. He assembles a database of thousands of books and hundreds of millions of words, and starts asking the questions that have intrigued curious word nerds and book lovers for generations: What are our favorite authors' favorite words? Do men and women write differently? Are bestsellers getting dumber over time? Which bestselling writer uses the most clichés? What makes a great opening sentence? How can we judge a book by its cover? And which writerly advice is worth following or ignoring? Blatt draws upon existing analysis techniques and invents some of his own. All of his investigations and experiments are original, conducted himself, and no math knowledge is needed to understand the results. Blatt breaks his …

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Review of "Nabokov's Favorite Word Is Mauve" on 'Goodreads'

If you read enough (and if you're reading this, you probably do), books become fascinating independent of the stories they tell. Blatt takes a math-y approach to this, quantitating a number of variables to answer different literary questions, such as the percentage of co-written books actually written by the more famous author, the difference between "literary" and genre fiction and the difference in word choice over time. There's some mission creep as chapters also reflect on how male versus female authors write the different genders and what that means, and also an introduction about who really wrote the Federalist Papers. It's mostly just fun -- can you deduce from an unbiased statistical approach that Nabakov was obsessed with colors, probably because he was a synesthete? -- and pretty light on the math. I'm pretty opposed to frequentist statistics, but it was still pretty bizarre to me to not have a …

Review of "Nabokov's favorite word is mauve" on 'Goodreads'

A discussion of data analysis of mostly famous authors' texts that asks questions like, Can one identify a book's author by the frequency of the words that they use? Do men and women write differently? Do authors follow their own writing advice? How do book covers change as the author becomes more famous? etc. A nice compendium of this kind of thing.

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Subjects

  • Authorship
  • Technique
  • Statistics
  • Books

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