River Out of Eden - A Darwinian View of Life

The No.1 SUNDAY TIMES bestseller. A fascinating explanation of how evolution works, from bestselling author of THE GOD DELUSION, Richard Dawkins. The river of Dawkins's title is a river of DNA, flowing through time from the beginning of life on earth to the present - and onwards. Dawkins explains that DNA must be thought of as the most sophisticated information system imaginable: 'Life is just bytes and bytes of information,' he writes. Using this perspective, he describes the mechanisms by which evolution has taken place, gradually but inexorably, over a period of three thousand million years. It is the story of how evolution happens, rather than a narrative of what has actually happened in evolution. He discusses current views on the process of human evolution, including the idea that we all trace back to a comparatively recent African 'Eve', and speculates that the 'information explosion' that was unleashed on Earth when DNA came into being has almost certainly happened in other places in the universe.

About the author

Richard Dawkins is an evolutionary biologist renowned throughout the world. He was educated at Oxford and taught zoology before becoming the first holder of the Charles Simonyi Chair of the Public Understanding of Science at Oxford University, in 1995. His previous books rank among the most influential intellectual works of our time. They include THE SELFISH GENE (1976), RIVER OUT OF EDEN (1995), and UNWEAVING THE RAINBOW (1999).

Product details

• Authors: Richard Dawkins
• Assisted by: Lalla Ward (Illustration)
• Publisher: Weidenfeld and Nicolson
• Languages: English
• Product format: Paperback
• Released: 05.03.2015
• EAN: 9781780226897
• ISBN: 978-1-78022-689-7
• No. of pages: 224
• Dimensions: 133 mm x 202 mm x 20 mm
• Series: SCIENCE MASTERS
• Subjects: Natural sciences, medicine, IT, technology > Natural sciences (general); SCIENCE / Life Sciences / Biology, SCIENCE / Life Sciences / Cell Biology, SCIENCE / Life Sciences / Genetics & Genomics, Evolution / Evolutionary biology