Strength In Numbers How Polls Work And Why We Need Them


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Strength in Numbers: How Polls Work and Why We Need Them


Strength in Numbers: How Polls Work and Why We Need Them

Author: G. Elliott Morris

language: en

Publisher: W. W. Norton & Company

Release Date: 2022-07-12


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An insightful exploration of political polling and a bold defense of its crucial role in a modern democracy. Public opinion polling is the ultimate democratic process; it gives every person an equal voice in letting elected leaders know what they need and want. But in the eyes of the public, polls today are tarnished. Recent election forecasts have routinely missed the mark and media coverage of polls has focused solely on their ability to predict winners and losers. Polls deserve better. In Strength in Numbers, data journalist G. Elliott Morris argues that the larger purpose of political polls is to improve democracy, not just predict elections. Whether used by interest groups, the press, or politicians, polling serves as a pipeline from the governed to the government, giving citizens influence they would otherwise lack. No one who believes in democracy can afford to give up on polls; they should commit, instead, to understanding them better. In a vibrant history of polling, Morris takes readers from the first semblance of data-gathering in the ancient world through to the development of modern-day scientific polling. He explains how the internet and “big data” have solved many challenges in polling—and created others. He covers the rise of polling aggregation and methods of election forecasting, reveals how data can be distorted and misrepresented, and demystifies the real uncertainty of polling. Candidly acknowledging where polls have gone wrong in the past, Morris charts a path for the industry’s future where it can truly work for the people. Persuasively argued and deeply researched, Strength in Numbers is an essential guide to understanding and embracing one of the most important and overlooked democratic institutions in the United States.

Polling at a Crossroads


Polling at a Crossroads

Author: Michael A. Bailey

language: en

Publisher: Cambridge University Press

Release Date: 2024-03-07


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Survey research is in a state of crisis. People have become less willing to respond to polls and recent misses in critical elections have undermined the field's credibility. Pollsters have developed many tools for dealing with the new environment, an increasing number of which rely on risky opt-in samples. Virtually all of these tools require that respondents in each demographic category are a representative sample of all people in each demographic category, something that is unlikely to be reliably true. Polling at a Crossroads moves beyond such strong limitations, providing tools that work even when survey respondents are unrepresentative in complex ways. This book provides case studies that show how to avoid underestimating Trump support and how conventional polls exaggerate partisan differences. This book also helps us think in clear and sometimes counterintuitive ways and points toward simple, low-cost changes that can better address contemporary polling challenges.

The Polls Weren't Wrong


The Polls Weren't Wrong

Author: Carl Allen

language: en

Publisher: CRC Press

Release Date: 2024-09-24


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Interpreting poll data as a prediction of election outcomes is a practice as old as the field, rooted in a fundamental misunderstanding of what poll data means. By first understanding how polls work at a fundamental level, this book gives readers the ability to discern flaws in the current methods. Then, through specific political examples from both the United States and the United Kingdom, it is shown how polls famously derided as "wrong" were, in fact, accurate. While polls are not always accurate, the reasons we can and can’t (rightly) call them "wrong" are explained in this book. This book will equip readers with the tools to navigate the mismatch of expectations. It is not intended to replace more technical applications of statistics but is accessible to anyone interested in learning more about how poll data should be understood, compared to how it’s currently misunderstood.