Most people are baffled by how computers work and assume that they will never understand them. What they don't realize - and what Daniel Hillis' short book brilliantly demonstrates - is that computers' seemingly complex operations can be broken down into a few simple parts that perform the same simple procedures over and over again. Computer wizard Hillis offers an easy-to-follow explanation of how data is processed that makes the operations of a computer seem as straightforward as those of a bicycle. 

Do you give presentations at meetings? Do you ever have to explain a complicated subject to audiences unfamiliar with your field? Do you make pitches for ideas or products? Do you want to interest a lecture hall of restless students in subjects that you find fascinating? Then you need this book. Make It Clear explains how to communicate - how to speak and write to get your ideas across.

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

When Reyna Grande was nine years old, she walked across the US-Mexico border in search of a home, desperate to be reunited with the parents who had left her behind years before for a better life in the City of Angels. What she found instead was an indifferent mother, an abusive, alcoholic father, and a school system that belittled her heritage. With so few resources at her disposal, Reyna finds refuge in words, and it is her love of reading and writing that propels her to rise above until she achieves the impossible and is accepted to the University of California, Santa Cruz.

"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.