
Chaser: Unlocking the Genius of the Dog Who Knows a Thousand Words
4.7 stars from 869 reviews. Top 91% of Nonfiction books we track.
Last checked: Jun 6, 2026
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Price range: $1.99 – $15.99
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Fans of these authors will like this...
- Temple Grandin
- Frans de Waal
- Patricia McConnell
Fans of these books will like this...
- The Genius of Dogs
- Animals in Translation
- Through a Dog's Eyes
Perfect for you if...
- You're a dog owner curious about what your pet actually understands and how to unlock their potential through play and patience.
- You love stories where rigorous science meets genuine emotion, showing rather than telling why something matters.
- You work with learning or behaviour (teacher, parent, psychologist) and want fresh insights into how intelligence develops across species.
Maybe not for you if...
- You want a conventional pet training manual with step-by-step commands to teach your dog tricks.
- You're sceptical that dogs possess anything beyond basic instinct and prefer hard limits on animal cognition.
- You're looking for a fast-paced narrative rather than a thoughtful exploration of one dog's life over many years.
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 $2.99 — 81% off peak. Price has dropped 21 times over the last 6 years. Goes on sale roughly every 50 days. Typically stays discounted for 19 days.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently around #29K in the Kindle store — a steady mid-list seller. Climbing the charts — 55% improvement recently.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 4.7★ from 869 reviews
Gaining approximately 6 new reviews per month. Rating has remained stable at 4.7 over the tracking period.
Sale Prediction
Actual Predicted
This book is currently discounted at $2.99. It typically returns to around $15.99.
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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