
Hooked: Food, Free Will, and How the Food Giants Exploit Our Addictions
by Michael Moss
4.5 stars from 1,182 reviews. Top 88% of Nonfiction books we track.
Last checked: Jun 3, 2026
Good deal — this is near the lowest price we've tracked.
Price range: $1.99 – $14.99
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Fans of these authors will like this...
- Charles Duhigg
- Malcolm Gladwell
- Marion Nestle
Fans of these books will like this...
- Salt Sugar Fat
- The Power of Habit
- Freakonomics
Perfect for you if...
- You're frustrated by your own eating habits and want to understand why willpower alone never seems to work.
- You're curious about how corporations exploit science and psychology to shape our behaviour, especially around health.
- You care about food politics and want concrete evidence of how the industry prioritises profit over public wellbeing.
Maybe not for you if...
- You prefer not to read investigative exposés that might make you question the food brands you love and buy regularly.
- You're looking for a diet book or meal plan. This is an investigation into the food industry, not a guide to eating better.
- You find detailed explanations of food chemistry and addiction neuroscience tedious rather than compelling.
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 $4.99 — 67% off peak. Price has dropped 18 times over the last 6 years. Goes on sale roughly every 92 days. Typically stays discounted for 45 days.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently around #60K in the Kindle store — a steady mid-list seller. Sales have softened 36% recently.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 4.5★ from 1,182 reviews
Gaining approximately 5 new reviews per month. Rating has remained stable at 4.5 over the tracking period.
Sale Prediction
Actual Predicted
This book is currently discounted at $4.99. It typically returns to around $14.99.
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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