Algorithms to Live By

The Computer Science of Human Decisions

by Brian Christian & Tom Griffiths

4.5(6,102 ratings)

8 min read

Brief overview

This book explores the hidden power of computer science principles in everyday decisions, from choosing an apartment to planning a schedule. It weaves together insights on how algorithms inform human thinking, revealing that a few core strategies can guide us even in life’s most complex puzzles. By understanding these practical rules, you’ll see how to resolve uncertainty, handle overwhelming choices, and manage your time more confidently.

Introduction

We all face a steady stream of choices—where to live, when to change jobs, or which queue to join. It’s easy to feel overwhelmed by never-ending options. Could the way computers solve problems shed light on how we make daily decisions?

In these pages, we’ll see how core computational ideas apply directly to everyday life. From deciding how long to keep looking for the perfect house, to allocating our day’s limited hours, algorithms offer comforting strategies to navigate our uncertain world.

This introduction sets the stage for each main idea: how to stop overthinking, when to trust your intuition, and how random leaps of logic can actually help you find the best outcomes.

The 37% Rule

This famous principle, sometimes called the Optimal Stopping strategy, suggests that when you’re searching for something—an apartment, a new hire, or even a romantic partner—there’s a point where further waiting no longer improves your outcome.

Mathematically, it indicates that after sampling about 37% of your options (without committing), you should be ready to accept the next one that feels better than everything you’ve seen so far. Though it can fail, it maximizes your overall chances of success.

This counterintuitive insight shows how early dismissal of a decent option can hinder you, but holding out too long can be equally risky. Embrace a clear threshold, and decision-making anxiety diminishes.

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What is Algorithms to Live By about?

“Algorithms to Live By” is a detailed look at how computer science concepts can transform everyday choices. It explores strategies like optimal stopping and explore-versus-exploit, explaining how they help people navigate big decisions with fewer doubts. By focusing on practical applications, the authors show how to reduce guesswork and stay organized in fields ranging from job searches to daily errands.

Readers will discover that computational thinking isn’t limited to tech experts. Instead, it’s a powerful lens through which anyone can approach uncertainty and time management more effectively. From trimming research time to finding better scheduling methods, this book offers a refreshing take on how data-driven logic can simplify life.

Review of Algorithms to Live By

This book stands out for its balanced blend of theory and real-life scenarios. Each chapter delves into a computational principle and demonstrates how it applies to scheduling, decision-making, and managing uncertainties like overfitting. These ideas are easy to adapt for everyday tasks, whether you’re selecting the right apartment or planning a long-term project. The authors maintain a clear and engaging tone throughout, so you never feel overwhelmed by the technical aspects.

By linking classic algorithms to relatable examples, the authors make these ideas relevant for working professionals, curious students, and anyone seeking efficient approaches to life’s challenges. The text covers core principles like Bayesian reasoning and caching in a conversational style that feels both motivating and practical. Overall, it’s an insightful resource for readers who want a new perspective on managing decisions, tasks, and mental bandwidth.

Who should read Algorithms to Live By?

Professionals aiming to streamline their tasks and allocate time with more confidence
Students of computer science looking for real-world examples of algorithms in action
Team leaders who coordinate complex projects and juggle multiple deadlines
Anyone grappling with major decisions and seeking proven frameworks to resolve uncertainty
Readers interested in how simple computational ideas can improve everyday life

About the author

Brian Christian and Tom Griffiths are the co-authors of "Algorithms to Live By". Brian Christian is an American non-fiction author, poet, programmer, and researcher known for his work on the human implications of computer science. He holds degrees in computer science and philosophy from Brown University and an MFA in poetry from the University of Washington. Tom Griffiths is a cognitive scientist and professor at Princeton University, with a PhD in psychology from Stanford University. Together, they have applied computational principles to everyday human decision-making, earning recognition with "Algorithms to Live By" being named a #1 Audible bestseller and an Amazon best science book of the year.