This episode I discuss the science and practice of fasting also called time-restricted feeding. I review the data on how limiting food intake to specific portions of every 24-hour cycle (or fasting longer) impacts weight loss, fat loss specifically, liver health, mental focus, muscle, longevity and more. I explain how “fasted” is contextual, and relates to blood glucose levels and their downstream effects, and how the depth of fasting can be adjusted with behaviors such as different types of exercise, or with glucose disposal agents. I also discuss the optimal fasting protocol: and both the absolute (non-negotiable) and variable (contextual) features of a fasting/time-restricted-feeding protocol that will allow you to get the most benefits. I also discuss what does and does not break a fast, the effects of fasting on hormones like testosterone and cortisol and on fertility. I also review how different feeding windows of 8 or 10 or 4 hours differentially impact the effects of fasting, and why the classic 8 hour feeding window came to be but also might be ideal. I discuss mechanisms and offer tools to discern the optimal fasting duration and timing for you.

#HubermanLab #Fasting #FatLoss

Thank you to our sponsors:
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RETHINK EDUCATION: The Biology of Learning Featuring Dr. Andrew Huberman
https://youtu.be/Oo7hQapFe3M

Supplements from Thorne:
http://www.thorne.com/u/huberman

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Links:
Comprehensive Review On Fasting In Humans: https://bit.ly/3BwIyd7

Timestamps:
00:00:00 Introduction, Blood Glucose & Mortality, Mice Vs. Humans
00:06:02 Sponsors: Roka, InsideTracker, Helix
00:09:42 Neuroplasticity Protocols & Online Lecture https://youtu.be/Oo7hQapFe3M
00:11:20 Feeding, Fasting, Performance
00:13:50 Calories-In, Calories-Out (CICO); Perfect Diets
00:19:48 Feeding-Induced Health Conditions
00:25:33 Time Restricted Eating: When We Eat Is Vital
00:29:45 The Eight Hour Feeding Window
00:31:26 Feeding Deep Into the Night Is Bad (In Humans)
00:36:33 Liver Health
00:39:45 Time Restricted Feeding Protocol: Rules
00:41:35 When to Start & Stop Eating
00:45:38 Gastric Clearance, Linking Fasting to Sleep &
00:52:35 Effects of Specific Categories of Food
00:55:40 Precision In Fasting: Protocol Build
00:59:30 4-6 Hour Feeding Windows
01:03:08 Protein Consumption & Timing for Muscle
01:08:13 How to Shift Your Eating Window
01:13:20 Glucose Clearing, Exercise & Compounds
01:22:37 Blood Glucose: Monitoring, mTOR & Related Pathways
01:27:40 Gut Health: Fasting, Clock Genes and Microbiota
01:29:15 Non-Alcoholic Fatty Liver
01:32:00 Effects of Fasting on Hormones: Testosterone, Cortisol
01:38:40 Fertility
01:41:50 8-Hour Feeding Window: Weight Loss Without Calorie Counting
01:43:20 Eating Every-Other-Day
01:45:29 Adherence
01:47:15 Mental Focus & Clarity
01:49:12 Enhancing Weight Loss from Body Fat: Hepatic Lipase
01:53:15 What Breaks a Fast? Rules & Context
01:58:50 Artificial Sweeteners, Plant-Based Sweeteners
02:01:42 Glucose Clearing II, Cinnamon, Acidity, Salt
02:06:42 My Circadian Clock, Zero-App
02:08:20 Odd (But Common) Questions
02:09:23 Effects of Sauna & Dehydration on Blood Glucose
02:11:12 The Ideal Fasting Protocol
02:24:00 More Resources, Ways to Support Us, Supplements

The Huberman Lab Podcast is for general informational purposes only and does not constitute the practice of medicine, nursing or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast or materials linked from this podcast is at the user’s own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in obtaining medical advice for any medical condition they may have and should seek the assistance of their health care professionals for any such conditions.

Title Card Photo Credit: Mike Blabac – https://www.blabacphoto.com

This case study shows the importance of Anchor test balance for Google penalty recovery, and the remarkable effect of an Anchor text balancing campaign.

SEO Breakthrough training, of which this is a small part, can be found here: http://john-pearce.com/sbt-power-ranker-edition/

How a little site with no authority got ranked number 1 in Google, Yahoo and Bing (and still ranks #1) with just one secret promotion technique. All post-Panda/Penguin. Download the case study at http://www.getarticlesdone.com/1-in-google-yahoo-and-bing-post-pandapenguin-case-study/

Pandas appears to be a healthy, well maintained library that will continue to serve the data science community for many years to come. However, the strategy for Pandas is at a crossroads and the decisions we make about its future will have influence far beyond Two Sigma.

We’ll learn about the history of pandas, from its inception as a data analysis library, to the explosive growth as an open source library. We’ll discuss how the growth of big data and big compute challenges panda’s capabilities and is a threat to its continued dominance in the market. Finally, we’ll talk about the crossroads; which paths we are considering at Twos Sigma, and how others can get involved.

Bio:
Jeff Reback
As a former quant Jeff Reback has much experience in building financial trading systems, using python and working with very large data. He has been a core committer to the pandas project since 2011, and has managed the project since 2013. Jeff is a Managing Director at Two Sigma, overseeing the research environment. Jeff holds a B.S. in Computer Science from the Massachusetts Institute of Technology.

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PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

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