this is a SHAXPIR project
how does it work?


  by Evan Osnos

(about 583 pages)
total words
of all the books in our library
of all the books in our library
passive voice
of all the books in our library
all adverbs
of all the books in our library
of all the books in our library
of all the books in our library

clippings from this book

We’ve analyzed hundreds of millions of words, from thousands of different authors, training our linguistic models to recognize the most vivid words in the English language… the words that create the most intense sensory experiences: colors, textures, sounds, flavors, and aromas.

Based on our analysis, we’ve scanned through the pages of this book to find the two pages at the extremes, both the most-passive and the most-vivid pages, so that you can compare them side-by-side and see the difference:

recoiled. If the water wasn’t safe for pregnant women, why was it safe for infants or toddlers? Day by day, schools that had been declared safe were running into problems. Plumbing systems differed, so one school could be free of MCHM while another still had traces. Governor Tomblin stopped urging people to drink the water and adopted a legalistic position: “I’m not going to say absolutely, one hundred percent, that everything is safe. But what I can say is, if you do not feel comfortable don’t use it.” He added, “It’s your decision.” On February 5, two schools shut down after teachers and kids complained of dizziness and nausea. “The following day, we had three more schools close,” Gupta said, “and we had up to fourteen schools that complained, but the day ran out, so the kids were let go.” At the end of February, he told me, “We’re getting complaints from schools almost every day.” For West Virginians, the battle to obtain some of the basic elements of government service—potable water, safe schools, public health advice—was disorienting. Josh Shriver said, “They didn’t know exactly what it was, they didn’t know how much of it had leaked, and they didn’t know how long it had been leaking.” At one point, Candi Shriver, hauling water from outside to flush the toilet, said to her husband, “It’s like we’re living in a Third World country.” Once the water ban was lifted, attention shifted to determining what had happened, who was diverse temperate hardwood forests on the planet. For eons, the hills had contained more species of salamander than anywhere else, and a lush canopy that attracted neotropical migratory birds across thousands of miles to hatch their next generation. But a mountaintop mine altered the land from top to bottom: after blasting off the peaks—which miners call the “overburden”—bulldozers pushed the debris down the hillsides, where it blanketed the streams and rivers. Rainwater filtered down through a strange man-made stew of metal, pyrite, sulfur, silica, salts, and coal, exposed to the air for the first time. The rain mingled with the chemicals and percolated down the hills, funneling into the brooks and streams and, finally, into the rivers on the valley floor, which sustained the people of southern West Virginia. Emily Bernhardt, a Duke University biologist who spent years tracking the effects of the Hobet Mine, told me, “The aquatic insects coming out of these streams are loaded with selenium, and then the spiders that are eating them become loaded with selenium, and it causes deformities in fish and birds. The Mud River, downstream of the Hobet, has one of the highest rates of bluegill deformities ever measured in a natural water body.” She said, “Eighty percent of the landscape has been converted to this thing that’s chemically distinct. You’re getting a totally different landscape.” The effects distorted the food chain. Normally, tiny insects that hatched in the water would fly into the woods, sustaining toads, turtles, and birds

emotional story arc

Click anywhere on the chart to see the most significant emotional words — both positive & negative — from the corresponding section of the text…
This chart visualizes the the shifting emotional balance for the arc of this story, based on the emotional strength of the words in the prose, using techniques pioneered by the UVM Computational Story Lab. To create this story arc, we divided the complete manuscript text into 50 equal-sized chunks, each with 2916.10 words, and then we scored each section by counting the number of strongly-emotional words, both positive and negative. The bars in the chart move downward whenever there’s conflict and sadness, and they move upward when conflicts are resolved, or when the characters are happy and content. The size of each bar represents the positive or negative word-count of that section.

similar books by different authors

other books by Evan Osnos

something missing?

Our library is always growing, so check back often…

If you’re an author or a publisher,
contact us at to help grow the library.