Skip to main content

Authors - C

A-B-C-D-E-F-G-H-I-J-K-L-M-N-O-P-Q-R-S-T-U-V-W-X-Y-Z

Tom Cabot

John Cacioppo (with William Patrick)

Deborah Cadbury

Alice Calaprice

Nigel Calder

Nigel Calder (with Henrik Svensmark)

Jo Callaghan

Paul Callaghan (with Kim Hill)

Paul Callaghan (with Bill Manhire)

Craig Callender (with Ralph Edney)

Deborah Cameron

Miles Cameron

Fritjof Capra

Louise Carey

Nessa Carey

Robert Cargill

Bernard Carlson 

Brian Carpenter

Michael Carroll

Sean Carroll

Richard Carter

Rita Carter

Stephen Cass (with Kevin Grazier)

Tom Cassidy (with Thomas Byrne)

Brian Cathcart

Tom Chaffin

Jack Challoner

Jack Challoner (with John Perry)

Jack Chalmers

Kit Chapman

Nicholas Cheetham

Margaret Cheney

Eugenia Cheng

Tom Chivers

Tom Chivers and David Chivers

Alan Chodos (with James Riordan)

Marcus Chown

Marcus Chown (with Govert Schilling)

Brian Christian

Brian Christian (with Tom Griffiths)

Robert Cialdini (with Noah Goldstein & Steve Martin)

Milan Circovic

John Clancy

Stuart Clark

Arthur C. Clarke

David Clarke

David Clary

Brian Clegg 

Brian Clegg (with Oliver Pugh)

Brian Clegg (with Rhodri Evans)

Raymond Clemens (ed.)

Daniel Clery

Harry Cliff

Frank Close

Matthew Cobb

I. B. Cohen

Jack Cohen (with Ian Stewart and Terry Pratchett)

Richard Cohen

Leonard Cole

Peter Coles

Harry Collins

Robert Colvile

Neil Comins

Arthur Conan Doyle

Joseph Conlon

Mariana Cook

Matt Cook

Peter Cook

Mike Cook (with Tony Veale)

Nancy Cooke (with Margaret Hilton) Eds.

Ashley Cooper

Geoffrey Cooper

Henry Cooper

Jennifer Coopersmith

Jack Copeland

David Corcoran (Ed.)

Paul Cornell

Charles Cotton (with Kate Kirk)

Tim Coulson

  • The Universal History of Us: a 13.8 billion year tale from the Big Bang to you ****

    • Heather Couper (with Nigel Henbest)

  • The Story of Astronomy *****

    • Robin Cousin

    Brian Cox (with Jeff Forshaw)

    Daniel Coyle

    Jerry Coyne

    Naomi Craft

    Catherine Craig (with Leslie Brunetta)

    Robert Crease

    Robert Crease (with Alfred Scarf Goldhaber)

    Ian Crofton

    Irena Cronin (with Robert Scoble)

    Alfred Crosby

    John Croucher (with Rosalind Croucher)

    Rosalind Croucher (with John Croucher)

    Vilmos Csányi

    Comments

    Post a Comment

    Popular posts from this blog

    Vector - Robyn Arianrhod ****

    This is a remarkable book for the right audience (more on that in a moment), but one that's hard to classify. It's part history of science/maths, part popular maths and even has a smidgen of textbook about it, as it has more full-on mathematical content that a typical title for the general public usually has. What Robyn Arianrhod does in painstaking detail is to record the development of the concept of vectors, vector calculus and their big cousin tensors. These are mathematical tools that would become crucial for physics, not to mention more recently, for example, in the more exotic aspects of computing. Let's get the audience thing out of the way. Early on in the book we get a sentence beginning ‘You likely first learned integral calculus by…’ The assumption is very much that the reader already knows the basics of maths at least to A-level (level to start an undergraduate degree in a 'hard' science or maths) and has no problem with practical use of calculus. Altho
    Post a Comment
    Read more

    Everything is Predictable - Tom Chivers *****

    There's a stereotype of computer users: Mac users are creative and cool, while PC users are businesslike and unimaginative. Less well-known is that the world of statistics has an equivalent division. Bayesians are the Mac users of the stats world, where frequentists are the PC people. This book sets out to show why Bayesians are not just cool, but also mostly right. Tom Chivers does an excellent job of giving us some historical background, then dives into two key aspects of the use of statistics. These are in science, where the standard approach is frequentist and Bayes only creeps into a few specific applications, such as the accuracy of medical tests, and in decision theory where Bayes is dominant. If this all sounds very dry and unexciting, it's quite the reverse. I admit, I love probability and statistics, and I am something of a closet Bayesian*), but Chivers' light and entertaining style means that what could have been the mathematical equivalent of debating angels on
    Post a Comment
    Read more

    The Art of Uncertainty - David Spiegelhalter *****

    There's something odd about this chunky book on probability - the title doesn't mention the P word at all. This is because David Spiegelhalter (Professor Sir David to give him his full title) has what some mathematicians would consider a controversial viewpoint. As he puts it 'all probabilities are judgements expressing personal uncertainty.' He strongly (and convincingly) argues that while the mathematical approach to probability is about concrete, factual values, outside of the 'natural' probabilities behind quantum effects, almost all real world probability is a subjective experience, better described by more subjective terms like uncertainty, chance and luck. A classic way to distinguish between those taking the frequentist approach to probability and the Bayesian approach is their attitude to what the probability is of a fair coin coming up heads or tails after the coin has been tossed but before we have looked at it. The frequentist would say it's def
    Post a Comment
    Read more