Over the last two decades, there has been an inescapable rise of anger and aggression across our planet. Hate speech has become increasingly prevalent online, Western governments are turning towards authoritarianism and populism, and extremist groups are rising across both the left and the right ends of the political spectrum. Every day, it seems, we're hearing more angry voices and fearful opinions, we're seeing more threats and frightening news, and we're reacting faster and less rationally.

What won't we try in our quest for perfect health, beauty, and the fountain of youth? Well, just imagine a time when doctors prescribed morphine for crying infants. When liquefied gold was touted as immortality in a glass. And when strychnine - yes, that strychnine, the one used in rat poison - was dosed like Viagra. Looking back with fascination, horror, and not a little dash of dark, knowing humor, Quackery recounts the lively, at times unbelievable, history of medical misfires and malpractices.

Covering the Ice Age to the recent Scottish Referendum, the acclaimed historian and author explores the history of the Scottish nation. Focusing on key moments such as the Battle of Bannockburn and the Jacobite risings, Moffat also features other episodes in history that are perhaps less well documented. From prehistoric timber halls to inventions and literature, Moffat's epic explores the drama of battle, change, loss, and innovation interspersed with the lives of ordinary Scottish folk, the men and women who defined a nation.

Built from Scratch is the story of how two incredibly determined and creative people - and their associates - built a business from nothing to 761 stores and $30 billion in sales in a mere 20 years. Built from Scratch tells many colorful stories associated with The Home Depot's founding and meteoric rise; shows that a company can be a tough, growth-oriented competitor, and still maintain a high sense of responsibility to the community; and provides great lessons useful to people in any business, from start-ups to the Fortune 500.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.