On October 16, 1987, meteorologists predicted a nice, breezy day in the south of England. Instead, the countryside was battered by the worst storm to hit the country in over 300 years. Twenty-two people were killed and damages totaled more than 3.3 million dollars. In the aftermath, scientists asked themselves: why was the forecast wrong? What could have been done to predict this? Meteorologist Tim Palmer discovered the answer: it comes down to embracing chaos. In this book, Palmer tells the story of how scientists learned to accurately predict the weather, and how we can use those insights to predict everything else, from the workings of the brain and how it creates consciousness to how quantum mechanics enables everything we see to emerge from just four basic particles. The key is embracing uncertainty. In the case of the Great Storm of 1987, the author found, forecasters were too obsessed with finding an on-off switch in their models: either it would be stormy or it wouldn't. The author led the charge to inject probabilistic forecasting into weather models, a massive breakthrough that has revolutionized our ability not only to know whether to bring an umbrella, but to prevent life-threatening catastrophes. But weather isn't the only thing that we use deterministic models to predict. Our understanding of quantum physics, climate change, and the economy could all be revolutionized by acknowledging uncertainty, the author argues, and those revolutions are long overdue. A fascinating firsthand account of the science of uncertainty, this book is for readers seeking to better understand what scientists do and don't understand about the universe. This book suggests that the key to knowing is to admit when we don't know. -- Adapted from publisher's description.