Kelley Library

What you should know about politics-- but don't, a nonpartisan guide to the issues that matter, Jessamyn Conrad ; with a new introduction by Martin Garbus

Label
What you should know about politics-- but don't, a nonpartisan guide to the issues that matter, Jessamyn Conrad ; with a new introduction by Martin Garbus
Language
eng
Bibliography note
Includes bibliographical references (pages 373-384)
Index
no index present
Literary Form
non fiction
Main title
What you should know about politics-- but don't
Nature of contents
handbooksbibliography
Oclc number
1135485294
Responsibility statement
Jessamyn Conrad ; with a new introduction by Martin Garbus
Sub title
a nonpartisan guide to the issues that matter
Summary
In a world of sound bites, deliberate misinformation, and a political scene colored by the blue versus red partisan divide, how does the average educated American find a reliable source that?s free of political spin? What You Should Know About Politics . . . But Don?t breaks it all down, issue by issue, explaining who stands for what, and why?whether it?s the economy, income inequality, Obamacare, foreign policy, education, immigration, or climate change. If you?re a Democrat, a Republican, or somewhere in between, it?s the perfect book to brush up on a single topic or read through to get a deeper understanding of the often murky world of American politics. This is an essential volume for understanding the background to the 2020 presidential election. But it is also a book that transcends the season. It?s truly for anyone who wants to know more about the perennial issues that will continue to affect our everyday lives. The fourth edition includes an introduction by Martin Garbus discussing the themes and issues that have come to the fore during the present presidential cycle
Table Of Contents
Elections -- The economy -- Foreign policy -- The military -- Health care -- Energy -- The environment -- Civil liberties -- Culture wars -- Socioeconomic policy -- Homeland security -- Education -- Trade
Classification
Content
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