The book delves into the often-overlooked intricacies of the U.S. federal government, highlighting the essential roles played by various departments and the dedicated public servants who manage them. It explores the potential consequences of neglect and mismanagement, particularly focusing on the transition period between presidential administrations. Through detailed narratives, the book underscores the importance of expertise and the risks posed by the erosion of institutional knowledge, ultimately emphasizing the critical need for competent governance to safeguard public welfare.

The book explores the emergence of surveillance capitalism, a new form of capitalism that thrives on personal data. The author details how tech companies, such as Google and Facebook, collect and use personal data to predict and modify human behavior as a means to produce revenue and market control. The book delves into the consequences of this phenomenon on economy, society, and democracy, warning about the dangers of unchecked data collection and manipulation.

This book provides an in-depth examination of value-added measures (VAM), a method used to evaluate the effectiveness of schools and teachers by looking at the academic progress of students over time. The author critically analyzes the potential and limitations of VAM, discussing its implications for policy, practice, and the future of educational assessment. Through a comprehensive review of research and data, the book explores how value-added modeling can impact teacher accountability, school improvement, and student outcomes, while also addressing the controversies and challenges associated with its implementation in the educational system.

This book critically examines the reliability of economic statistics in Sub-Saharan Africa, revealing a significant gap between the reported data and the actual economic realities on the ground. The author delves into the systemic issues plaguing statistical offices across the continent, including underfunding, political interference, and a lack of technical capacity, which collectively contribute to the production of inaccurate economic data. By analyzing the processes and methodologies used to gather and report these statistics, the book sheds light on the profound implications these "poor numbers" have for policy-making, economic development, and international perceptions of African economies. Through this exploration, it calls for a reevaluation of how economic data in these countries is collected and used, advocating for reforms that could lead to more accurate and meaningful measurements of economic progress.

This book chronicles the groundbreaking work of a visionary doctor and economist who embarked on an ambitious quest to quantify the world's health data. By meticulously gathering and analyzing global health statistics, he aimed to create a comprehensive map of human health that could guide public policy, prioritize medical research and funding, and ultimately save millions of lives. His innovative approach faced skepticism and resistance from the medical establishment but eventually transformed how health issues are approached and understood worldwide, proving the power of data in tackling some of humanity's biggest challenges.

This insightful exploration delves into the evolution of data and its profound impact on society, tracing its journey from the early days of statistical analysis to the modern era of big data and artificial intelligence. It examines the pivotal moments and key figures that have shaped the data landscape, highlighting the technological advancements and ethical considerations that accompany the data revolution. Through a blend of historical context and contemporary analysis, the narrative offers a comprehensive understanding of how data has become an integral part of decision-making processes across various sectors, influencing everything from business strategies to personal privacy.