
Utopia for Realists: How We Can Build the Ideal World
4.6 stars from 2,691 reviews. Top 73% of Nonfiction books we track.
Last checked: Jun 29, 2026
Good deal — this title is discounted today.
Price range: $1.99 – $11.99
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Fans of these authors will like this...
- Malcolm Gladwell
- Daniel Pink
- Yuval Noah Harari
Fans of these books will like this...
- Thinking, Fast and Slow
- The Sum of Small Things
- Sapiens
Perfect for you if...
- You're frustrated with work culture and suspect there's a better way to organise society, even if you've been told it's impossible.
- You enjoy popular economics writing that makes big ideas digestible without dumbing them down.
- You want historical proof that radical changes like ending slavery or establishing democracy were once considered utopian fantasy too.
Maybe not for you if...
- You're ideologically committed to the free market and view any intervention as inherently flawed, no matter the evidence.
- You prefer deeply technical economics texts with heavy mathematical modelling over accessible narrative arguments.
- You're looking for a step-by-step implementation manual rather than a conceptual case for why these ideas deserve serious consideration.
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 — 83% off peak. Price has dropped 9 times over the last 6 years. Goes on sale roughly every 265 days. Typically stays discounted for 2 days.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently around #18K in the Kindle store — a steady mid-list seller.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 4.6★ from 2,691 reviews
Gaining approximately 4 new reviews per month. Rating has remained stable at 4.6 over the tracking period.
Sale Prediction
Actual Predicted
This book is currently discounted at $1.99. It typically returns to around $11.99.
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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