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.