The Science of Racism - Everything you need to know but probably don't - yet

''Illuminating, surprising, unnerving, moving . . . and, sadly, utterly necessary for this time in history.'' - Sathnam Sanghera, bestselling author of Empireland Polls show that if you ask the average person even the most basic question - ''Does racism still exist?'' - half the population will say that it does, while the other half will say that it doesn''t. Despite increasingly vocal and polarized opinions on both traditional and social media platforms, as a society we have no more clarity about racism than we did a generation ago. In the ground-breaking The Science of Racism Professor Keon West cuts through the divisive anecdotes and rhetoric with decades'' worth of clear, factual, rigorous, quantitative science, to reveal truths about racism that are shocking and tragic, but also (somehow) funny and entertaining. He explains how we know, for example, that Black people are up to 50 per cent less likely to be called in to interview than identically qualified White people. He shows how we know the financial cost of selling items online while Black. He reveals the effects of racism on our friendships, relationships, healthcare and justice system. And he exposes the continued prevalence of racism, and the inadequacy of many attempts to address it. Whatever you''ve read before, this book will ensure that you never see racism in quite the same way again.

Product details

• Authors: Keon West, Keon (Professor) West
• Publisher: Picador Uk
• Languages: English
• Product format: Paperback / Softback
• Released: 23.01.2025
• EAN: 9781035030668
• ISBN: 978-1-0-3503066-8
• No. of pages: 352
• Dimensions: 154 mm x 235 mm x 28 mm
• Subjects: Non-fiction book > Politics, society, business > Society; Social sciences, law, business > Sociology > Sociological theories; Ethnic Studies, SOCIAL SCIENCE / Demography, SOCIAL SCIENCE / Ethnic Studies / General, POLITICAL SCIENCE / Civil Rights, Human rights, civil rights, Population and Demography, Relating to Black, Asian and Minority Ethnic (BAME) peoples, Data science and analysis: general, COMPUTERS / Data Science / General