Data meets literature in this brilliant new look at our favorite authors and their masterpieces: Do literary titans follow their own writing advice (and is it any good)? Do men and women write their characters differently? What are each author’s favorite words and clichés?
There’s a famous piece of writing advice—offered by Ernest Hemingway, Stephen King, and myriad writers in between—not to use -ly adverbs like “quickly” or “fitfully.” 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? And do great books in general—the classics and the bestsellers—use fewer adverbs?
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 findings down into lucid, humorous language and clear and compelling visuals. This eye-opening book offers a new appreciation of our favorite authors and a fresh perspective on our own writing, illuminating both the patterns that hold great prose together and the brilliant flourishes that make it unforgettable.