Calories In = Calories Out? Exploring The True Science Behind The Calorie & The Real Truth About Fad Diets.
BenGreenfieldFitness.com/countingcalories
3 March 2022
Calorie information is ubiquitous.
On packaged food, restaurant menus, and online recipes, we see authoritative numbers that tell us the calorie count of what we're about to consume. And many of us treat these numbers as gospel: counting, cutting, intermittently consuming, and, if you believe some “experts” out there, magically making them disappear.
We all know, and governments advise, that losing weight is just a matter of burning more calories than we consume. Here's the thing, however, that most people have no idea about: All of the calorie counts that you see everywhere today are WRONG.
In Why Calories Don't Count: How We Got the Science of Weight Loss Wrong, my guest on today's podcast, Dr. Giles Yeo, who is an obesity researcher at Cambridge University, challenges the conventional model and demonstrates that all calories are not created equal. He addresses why popular diets succeed, at least in the short term, why they ultimately fail, and what your environment has to do with your bodyweight. Once you understand that calories don't count, you can begin to make different decisions about how you choose to eat, learning what you really need to be counting instead. Practical, science-based, and full of illuminating anecdotes, this is the most entertaining dietary advice you'll ever find.
During our discussion, you'll discover: -What's a calorie?.... -The A-B-C equation of measuring calories in food... -The problem with Atwater's factors... -What's a DIT value and why does that matter... -Did we get it right when it comes to labeling our food?... -Why we're terrible judges of calorie counting... -Advice for a good macronutrient ratio with minimal ultra-processed food in the diet... Resources from this episode: Episode sponsors:-Personal Peak Performance Summit
Do you have questions, thoughts or feedback for Giles Yeo or me? Leave your comments at BenGreenfieldFitness.com/countingcalories and one of us will reply!See omnystudio.com/listener for privacy information.
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Repeatable methods, frameworks, mental models, processes, and systems.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.