Sophie Henderson, manager of a software-development team, starts what appears to be a routine project at work. She ends up hiding from her staff, her friends, and the person who is trying to stop her from delving further into discrepancies in the accounting system. Trevan Prater (AKA Trevor Adams) has been assigned to delve into an embezzlement scheme at a large government contractor. As an FBI investigator, he’s used to working such cases. A chance encounter lands him front and center with Sophie, one of the lead suspects. Now he’s not only investigating her, but also pretending to be the consultant from whom she needs help. The more his team digs into the data she gives him, the guiltier she appears. Unfortunately, the longer he’s with her, the more attracted he becomes. Sensuality Level: Behind Closed Doors

"Vaclav Smil is my favorite author… Numbers Don't Lie takes everything that makes his writing great and boils it down into an easy-to-read format. I unabashedly recommend this book to anyone who loves learning."--Bill Gates, GatesNotes From the author of How the World Really Works, an essential guide to understanding how numbers reveal the true state of our world--exploring a wide range of topics including energy, the environment, technology, transportation, and food production. Vaclav Smil's mission is to make facts matter. An environmental scientist, policy analyst, and a hugely prolific author, he is Bill Gates' go-to guy for making sense of our world. In Numbers Don't Lie, Smil answers questions such as: What's worse for the environment--your car or your phone? How much do the world's cows weigh (and what does it matter)? And what makes people happy? From data about our societies and populations, through measures of the fuels and foods that energize them, to the impact of transportation and inventions of our modern world--and how all of this affects the planet itself--in Numbers Don't Lie, Vaclav Smil takes us on a fact-finding adventure, using surprising statistics and illuminating graphs to challenge conventional thinking. Packed with fascinating information and memorable examples, Numbers Don't Lie reveals how the US is leading a rising worldwide trend in chicken consumption, that vaccination yields the best return on investment, and why electric cars aren't as great as we think (yet). Urgent and essential, with a mix of science, history, and wit--all in bite-sized chapters on a broad range of topics--Numbers Don't Lie inspires readers to interrogate what they take to be true.

Originally published in Asimov's Science Fiction as the short stories "The Edge of the Universe," "Get Me to the Church on Time," and "The Hole in the Hole," this inventive and quirky novel combines the stories, featuring the inspired adventures of Wilson Wu, a jack-of-all-trades who uses his eclectic background to solve a variety of wacky futuristic dilemmas. An Ivy League graduate, Wu is a rock musician, a Volvo mechanic, a trial lawyer, a camel driver, an aeronautics engineer, an entomological meteorologist, and, most importantly, a math wizard with a formula for every occasion. A godsend for his friends and the universe, Wu uses his eclectic skill set to prevent the imminent collapse of the universe, guarantee good weather for an Alabama wedding, and tow an abandoned lunar rover from the surface of the moon to a junkyard in Brooklyn. Irreverent and inventive, these adventures exemplify Bisson's smart, hilarious, and satirical style that has earned him Hugo and Nebula awards and comparisons to Mark Twain and Kurt Vonnegut.

If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.

Starting high school is never easy. Seniors take your lunch money. Girls you’ve known forever are suddenly beautiful and unattainable.The guys you grew up with are drifting away.And you can never get enough sleep. Could there be a worse time for Scott’s mother to announce she’s pregnant? Scott decides high school would be a lot less overwhelming if it came with a survival manual, so he begins to write down tips for his new sibling. Scott’s chronicle of his first year of bullies, romance, honors classes, and brotherhood is both laugh-out-loud funny and touchingly wise.

A typical NBA game can yield approximately 2,800 statistical events in thirty-two different categories. In Numbers Don’t Lie Yago Colás started with a simple question: How did basketball analytics get from counting one stat, the final score, to counting thousands? He discovered that what we call “basketball”—rules, equipment, fundamental skills, techniques, tactics, strategies—has changed dramatically since its invention and today encompasses many different forms of play, from backyards and rec leagues to the NBA Finals. Numbers Don’t Lie explores the power of data to tell stories about ourselves and the world around us. As advanced statistical methods and big-data technologies transform sports, we now have the power to count more things in greater detail than ever before. These numbers tell us about the past, present, and future that shape how basketball is played on the floor, decisions are made in front offices, and the sport is marketed and consumed. But what is the relationship between counting and what counts, between quantification and value? In Numbers Don’t Lie Colás offers a three-part history of counting in basketball. First, he recounts how big-data basketball emerged in the past twenty years, examines its current practices, and analyzes how it presents itself to the public. Colás then situates big data within the deeper social, cultural, and conceptual history of counting in basketball and beyond and proposes alternative frameworks of value with which we may take fuller stock of the impact of statistics on the sport. Ultimately, Colás challenges the putative objectivity of both quantification and academic writing by interweaving through this history a series of personal vignettes of life at the intersection of basketball, counting, and what counts.

Here, by popular demand, is the updated edition to Joel Best's classic guide to understanding how numbers can confuse us. In his new afterword, Best uses examples from recent policy debates to reflect on the challenges to improving statistical literacy. Since its publication ten years ago, Damned Lies and Statistics has emerged as the go-to handbook for spotting bad statistics and learning to think critically about these influential numbers.