Nabokov’s Favorite Word is Mauve: What the Numbers Reveal About the Classics, Bestsellers, and Our Own Writing (Simon & Schuster)
Nabokov’s Favorite Word is Mauve is a playful and informative look at what the numbers have to say about our favorite authors and their classic books. It’s How Fiction Works or Eats, Shoots & Leaves meets Nate Silver.
There’s a famous piece of writing advice—offered by Ernest Hemingway, Stephen King, and myriad writers in between—not...
Nabokov’s Favorite Word is Mauve: What the Numbers Reveal About the Classics, Bestsellers, and Our Own Writing (Simon & Schuster)
Nabokov’s Favorite Word is Mauve is a playful and informative look at what the numbers have to say about our favorite authors and their classic books. It’s How Fiction Works or Eats, Shoots & Leaves meets Nate Silver.
There’s a famous piece of writing advice—offered by Ernest Hemingway, Stephen King, and myriad writers in between—not to use ‘ly’ adverbs. It sounds like solid advice, but can we actually test it? If we were to count all the ‘ly’ adverbs these authors used in their careers, do they follow their own advice compared to other celebrated authors? What’s more, do great books in general—the classics and the bestsellers—share this trait?
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 contemporary 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 findings down into lucid, humorous language and clear and compelling visuals. This eye-opening book will provide you with a new appreciation for your favorite authors and a fresh perspective on your own writing, illuminating both the patterns that hold it together and the brilliant flourishes that make it unforgettable.
Praise for Nabokov's Favorite Word is Mauve
“What fun this is! Ben Blatt’s charming book applies numerical know-how to questions of literary style, teasing out insights about cliffhangers, adverbs, and whether Americans write ‘more loudly’ than the British. (Spoiler: WE DO!!!)”—Jordan Ellenberg, author of How Not to Be Wrong
“Ben Blatt’s delightful book gives us an original big data perspective on great writers’ work. Its humor, insights, and statistical displays are fascinating to behold, even as it helps us develop our own writing.”—Carl N. Morris, Professor Emeritus of Statistics, Harvard University
“Blatt provides amiable and intelligent narration, and literature enthusiasts will enjoy the hypotheses he poses and his imaginative methods.”—Publishers Weekly
Ben Blatt is a former staff writer for Slate and The Harvard Lampoon who has taken his fun approach to data journalism to topics such as Seinfeld, mapmaking, The Beatles, and Jeopardy! His previous book, co-written with Eric Brewster, is I Don't Care if We Never Get Back, which follows the duo’s quest to go on the mathematically optimal baseball road trip, traveling 20,000 miles to a game in all thirty ballparks in thirty days without planes. Blatt’s work has also been published in The Wall Street Journal, The Boston Globe, and Deadspin.
