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The Algorithm That Knows You: How Data, Prediction, and Behavioral Systems Shape Modern Decisions
In the modern world, decisions are rarely made in isolation. Behind every recommendation, notification, score, and suggestion lies an invisible system observing patterns, learning behaviors, and anticipating what comes next.
The Algorithm That Knows You explores how data is collected from everyday actions and transformed into predictions that quietly shape choices—what people see, buy, trust, and believe. Rather than focusing on individuals, these systems operate on probabilities, optimizing outcomes at scale while redefining autonomy, responsibility, and control.
With clarity and analytical depth, Grace Bennett examines how personalization influences behavior, how feedback loops reinforce habits, and why speed and automation increasingly outpace human judgment. The book also confronts the limits of prediction—bias, error, and opacity—and the growing trust gap created when systems cannot explain their decisions.
Written for readers seeking understanding rather than alarm, this book offers a grounded exploration of algorithmic influence in daily life. It challenges readers to recognize where prediction ends and agency begins, and how intentional choice remains possible in a world built to anticipate us.
This is not a book about technology alone—it is about power, perception, and what it means to choose freely in an age of data-driven foresight.
The Algorithm That Knows You explores how data is collected from everyday actions and transformed into predictions that quietly shape choices—what people see, buy, trust, and believe. Rather than focusing on individuals, these systems operate on probabilities, optimizing outcomes at scale while redefining autonomy, responsibility, and control.
With clarity and analytical depth, Grace Bennett examines how personalization influences behavior, how feedback loops reinforce habits, and why speed and automation increasingly outpace human judgment. The book also confronts the limits of prediction—bias, error, and opacity—and the growing trust gap created when systems cannot explain their decisions.
Written for readers seeking understanding rather than alarm, this book offers a grounded exploration of algorithmic influence in daily life. It challenges readers to recognize where prediction ends and agency begins, and how intentional choice remains possible in a world built to anticipate us.
This is not a book about technology alone—it is about power, perception, and what it means to choose freely in an age of data-driven foresight.
88 pages, Kindle Edition
Published January 19, 2026
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