How To Lie With Statistics
Condition: SECONDHAND
This is a secondhand book. The jacket image is a photograph of the exact copy we have in stock. This image shows the condition of this book. Further condition remarks are below.
Condition remarks:
Book: Good
Jacket: No dust jacket
Pages: Good
Condition remarks: Condition as shown in image
In a world drowning in data, How to Lie with Statistics by Darrell Huff stands as an indispensable guide to navigating the treacherous waters of numerical manipulation. First published in 1954, this witty and incisive classic chronicles the many cunning ways in which statistics are routinely misused, misrepresented, and weaponised to mislead the public — from the carefully cropped graph to the deceptively worded survey question. Huff illustrates each deception with sharp, accessible examples drawn from advertising, politics, and the media, arming the reader with the critical vocabulary to see through statistical sleight of hand. Beyond its practical instruction, the book argues a profound and unsettling truth: that numbers, far from being objective arbiters of fact, are infinitely pliable in the hands of those with an agenda. Written with the dry wit of a seasoned journalist and the clarity of a gifted educator, Huff's prose remains as razor-sharp and relevant today as it was seven decades ago. Illustrated with cartoons by Irving Geis that perfectly underscore its satirical bite, this slim volume presents a masterclass in sceptical thinking — and leaves the reader with one nagging question: what else have they been misled about?
Author: Darrell Huff
Format: Paperback
Genre: Mathematics
Condition remarks:
Book: Good
Jacket: No dust jacket
Pages: Good
Condition remarks: Condition as shown in image
In a world drowning in data, How to Lie with Statistics by Darrell Huff stands as an indispensable guide to navigating the treacherous waters of numerical manipulation. First published in 1954, this witty and incisive classic chronicles the many cunning ways in which statistics are routinely misused, misrepresented, and weaponised to mislead the public — from the carefully cropped graph to the deceptively worded survey question. Huff illustrates each deception with sharp, accessible examples drawn from advertising, politics, and the media, arming the reader with the critical vocabulary to see through statistical sleight of hand. Beyond its practical instruction, the book argues a profound and unsettling truth: that numbers, far from being objective arbiters of fact, are infinitely pliable in the hands of those with an agenda. Written with the dry wit of a seasoned journalist and the clarity of a gifted educator, Huff's prose remains as razor-sharp and relevant today as it was seven decades ago. Illustrated with cartoons by Irving Geis that perfectly underscore its satirical bite, this slim volume presents a masterclass in sceptical thinking — and leaves the reader with one nagging question: what else have they been misled about?