Dr Giles Yeo 2 Books Collection Set - Non Fiction - Paperback

Titles in This Set
Gene Eating: The Story of Human Appetite
Why Calories Don't Count: How We Got the Science of Weight Loss Wrong

Details
Condition: Brand New
Format: Paperback
Publisher: Orion Spring
Age Range: Adult

Overview
This two-book paperback set from Cambridge geneticist Dr Giles Yeo pulls back the curtain on the real science of appetite, metabolism, and weight loss. Gene Eating explores the genetics and brain chemistry behind hunger and cravings, while Why Calories Don't Count dismantles the myth that all calories are created equal. Together, these titles offer curious adult readers an entertaining, evidence-based alternative to fad diets and calorie-counting apps, written by a working obesity researcher who translates dense science into approachable, myth-busting, everyday language.

About the Books
Dr Giles Yeo has spent his career studying the biology of obesity and appetite at the University of Cambridge, and this collection distills that expertise into two highly readable, myth-busting titles. Gene Eating: The Story of Human Appetite examines how genes, hormones, and brain circuitry interact with environment to shape hunger, cravings, and body weight, helping readers understand why some people struggle more with dieting than others, not through lack of willpower but through biology. It blends laboratory research with relatable, often funny personal anecdotes. Why Calories Don't Count takes on the calorie label itself, arguing that the number printed on a food package rarely reflects the energy the body actually absorbs, and that food quality and processing change the equation. Yeo explains why popular diets work short-term and why they usually fail long-term, using clear language rather than jargon. Read together, the two books build a fuller picture of eating: the first explains why we crave what we crave, and the second explains what happens once we eat it. Both share the same voice, curious, witty, and unafraid to challenge conventional wisdom, making this a cohesive read for anyone tired of contradictory diet advice.

Key Benefits

• Written by a real Cambridge obesity researcher, not a wellness influencer
• Debunks common diet myths using genetics and metabolic science
• Accessible, witty writing style makes complex biology easy to follow
• Two-book paperback set offers a fuller, complementary picture of appetite and weight
• Great gift for anyone interested in nutrition, biology, or health science
• Ideal for book clubs, health-conscious readers, or a thoughtful birthday or holiday gift

Book-by-Book Guide
Gene Eating: The Story of Human Appetite — traces the genetic and neurological roots of hunger and weight, showing why dieting is more biology than willpower.
Why Calories Don't Count: How We Got the Science of Weight Loss Wrong — challenges the idea that a calorie is a calorie, explaining how food quality and metabolism change the real energy equation.

About the Author
Dr Giles Yeo is a geneticist based at the University of Cambridge, where he has spent over two decades researching the genetics of obesity and the brain's control of food intake. He earned his PhD at Cambridge and has become a familiar voice in science communication, presenting BBC documentaries and writing popular science books that translate his clinical research for general readers. Known for combining rigorous evidence with humor and warmth, Yeo has built a reputation as one of the more trustworthy, myth-busting voices in the nutrition and weight-loss space, encouraging readers to question fad diets in favor of biology-based understanding.

Why You'll Love This Collection
For anyone who has ever felt confused by conflicting diet advice, this pairing delivers clarity, humor, and real science in equal measure. It's a smart gift for the health-curious reader in your life, a thoughtful holiday or birthday present, or simply a satisfying addition to your own nonfiction shelf.

Please Note: This is the UK edition with the ISBN as listed; the cover may vary slightly from the image shown.