
The Sirens' Call: How Attention Became the World's Most Endangered Resource
by Chris Hayes
4.6 stars from 1,371 reviews. Top 86% of Nonfiction books we track.
Last checked: Jun 17, 2026
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Price range: $1.99 – $16.99
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Fans of these authors will like this...
- Malcolm Gladwell
- Shoshana Zuboff
- Jonathan Haidt
Fans of these books will like this...
- The Age of Surveillance Capitalism
- Braiding Sweetgrass
- Bowling Alone
Perfect for you if...
- You're worried about how your phone shapes your thinking and want a framework to understand why social media feels designed to addict you.
- You care about politics and suspect our fractured information landscape is making democratic discourse impossible.
- You've read tech critiques before but want a big-picture analysis that connects attention economics to the collapse of shared reality.
Maybe not for you if...
- You're looking for a practical how-to guide on digital detox or productivity hacks rather than systemic analysis.
- You work in tech and aren't prepared to question whether your industry's incentives align with human wellbeing.
- You prefer narrative-driven storytelling over structural economic arguments.
About this book
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Price History
Kindle price over time. Green zones = periods when the book was free.
Currently on sale at $1.99 — 88% off peak. Price has dropped 2 times over the last 21 months. Goes on sale roughly every 255 days.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently around #34K in the Kindle store — a steady mid-list seller. Sales have softened 70% recently.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 4.6★ from 1,371 reviews
Gaining approximately 84 new reviews per month. Steady word of mouth growth. Rating has climbed from 3.3 to 4.5. Recent readers are rating it higher.
Sale Prediction
Actual Predicted
This book is currently discounted at $1.99. It typically returns to around $16.99.
Prices shown in USD from Amazon US. We continuously pull new data to improve tracking. If dates look old, it usually means there has been no significant change since the last data point.
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