“Fasting and Blood Glucose”_What Do Viewers Really Think of? 3.4M views

A 1000-Comment Analysis on the Jason Fung YouTube Channel

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What the Comments Reveal (Beyond Views & Likes)

3.4M views and 108K likes on “Fasting and Blood Glucose | Jason Fung” from Jason Fung as of 2025-09-27, with 4,667 total comments and a 1,000-comment sample analyzed — we analyze engaged viewers.

Views
3,400,000
Likes
108,000
Total Comments
4,667
Sample Analyzed
1000

Sentiment Snapshot

Overall sentiment leans positive, with nearly half of commenters responding favorably and a smaller share raising concerns or critiques.

Positive
49.40%
Neutral
30.75%
Negative
16.94%
Sentiment Breakdown

Emotional Pulse: Curious Leads the Way

curious 21.81% grateful 21.17% concerned 11.99% frustrated 7.91% impressed 7.78%

Viewers show high curiosity and gratitude, signaling both a hunger for deeper knowledge and appreciation for clarity. Concern and frustration highlight the stakes for those navigating real glucose challenges.

Comment Breakdown: Personal story and Question Dominate

Personal story 30.89% Question 29.94% Compliment 24.84% Engagement 6.37% Feedback 5.63%

Viewers blend stories, questions, and compliments — with meaningful personal experiences and unresolved questions driving the thread.

Jason Fung’s Engagement in the Comments

No direct replies or hearts were recorded, meaning community interaction is at zero — ~1 in ∞ comments received creator engagement.

Replied
0.00%
Hearted
0.00%
Any Interaction
0.00%

Burning Questions

Viewers want clear explanations for why fasting glucose sometimes rises, how to judge safe versus concerning ranges, and whether morning or exercise-driven spikes affect A1C or signal insulin resistance. Many seek simple numerical benchmarks for non-diabetics and type 2 diabetics, especially during extended fasts.

They also ask about managing recurrent lows, breaking fasts without big spikes, and medication adjustments. Special cases like Hashimoto’s, menopause, and type 1 diabetes feature prominently, alongside confusion about conflicting lab metrics and diagnostic criteria.

Feedback and Critiques

Viewers appreciated the reassurance and clarity, especially around dawn phenomenon and interpreting CGM patterns. Many said the explanations reduced anxiety and helped them better understand mid-fast glucose ranges.

Critiques focused on precision and scope: requests for more biochemical nuance, safety cautions about reactive hypoglycemia, and better tailoring for conditions like type 1 diabetes. Some flagged repetitiveness, oversimplification, and accessibility gaps such as subtitles or translations.

High Praise

Audiences repeatedly praised the clarity of Dr. Fung’s teaching, noting how complex concepts were made accessible and practical through simple language and metaphors. Many said the video gave them confidence to interpret fasting data and encouraged healthier routines.

Several described the content as life-changing, highlighting immediate benefits such as reduced anxiety about glucose fluctuations and a stronger sense of self-care. Gratitude was consistently expressed for education they find more actionable than traditional care.

Opportunities for Future Content

  1. Why your glucose rises when you don’t eat (and when to worry)
  2. Break your fast without a blood sugar spike
  3. The hypoglycemia playbook for fasters
  4. Morning highs troubleshooter
  5. Rethinking “normal”: Interpreting CGM and lab tests during fasting/keto
  6. Fasting for special cases: Hashimoto’s, menopause, and insulin/Type 1 users

Wrapping Up

This video excelled at simplifying physiology and calming anxieties, though unanswered questions show opportunities for deeper, case-specific guidance. With clearer engagement and tailored follow-ups, Shono AI can amplify these audience signals into future growth.

About This Analysis

Scope
Single video deep-dive
Video Title
Fasting and Blood Glucose | Jason Fung
Video URL
https://www.youtube.com/watch?v=9Lfd6gi_2kM
Channel Name
Jason Fung
Channel URL
https://www.youtube.com/@DrJasonFung
Creator Name
Jason Fung
Views
3,400,000 (as of 2025-09-27)
Likes
108,000 (as of 2025-09-27)
Likes/Views Ratio
3.18%
Data Window
As of 2025-09-27 (for comment analysis)
Total Comments
4,667
Sample Analyzed
1000
Tool
Shono AI

Methodology & Limits

Sample size vs total comments; with duplicates and spam removed. AI classified comments by sentiment, emotion, and type, then aggregated the results.

Engagement rates reflect the sampled set only. Snapshot as of 2025-09-27; values may shift as new comments arrive.

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