Robert Lustig MD
Physician, Author of Fat Chance, Hacking of the American Mind, and Metabolical. Learn more at https://robertlustig.com/ and https://metabolical.com/.
81,914
Followers
26,474
Following
6,798
Tweets
70.2
Avg Engagement
1,224
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RobertLustigMD's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mid-Tier (10K+)
- Account Age:2014-04-02
- Verification:No
- Location:San Francisco, California
Data Summary
- Tweets Analyzed:3,197
- Avg Likes per Tweet:45.3
- Avg Retweets per Tweet:24.9
- Followers Analyzed:10,997
Engagement Analysis
Based on 3,197 tweetsHis tweets receive an average of 739 likes and 270 retweets, indicating strong audience interaction. The verified status of 2.6% suggests a mix of public figures and followers.
45.3
Avg Likes/Tweet
24.9
Avg Retweets/Tweet
144,850
Total Likes
79,595
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
9
Median Retweets
78
75th Percentile
4,322
Top Tweet
0.86
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
44.3%
Original
11.4%
Replies
38.4%
Retweets
6.0%
Quotes
0.0%
Threads
0.3%
With Media
92.5%
With Links
30.2%
With #Tags
66.5%
With @Mentions
2.3%
With Emojis
197
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.26
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
90.6%
Weekday Posts
9.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,197 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 1,227 retweets (38% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,197 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,997 followersHis audience includes health professionals, nutrition enthusiasts, and individuals interested in metabolic health. They are likely seeking evidence-based information on diet and chronic disease prevention.
Average
Audience Quality
25.6%
Suspicion Index
33.0%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.0%
Empty Bio
26.8%
<10 Tweets
12.9%
Mass Following (>2K)
0.0%
New (<90 days)
51.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.9%
No URL
18.1%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
6,598,929
Total Potential Reach
38
Median Follower Reach
172
75th Percentile Reach
6.6%
>1K followers
0.9%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
52.9%
Creators
5,817 accounts
20.3%
Consumers
2,234 accounts
26.8%
Dormant
2,946 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
288
Verified Followers
2.62% of total
1,232
Protected Accounts
11.2% of total
6 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @HerbertRSim | 223,869 | Investor | Economics, GeoPolitics, AI |
| @4realJasonB | 196,786 | Author | AlphaAdventurer, Aesthete, Author |
| @marionnestle | 141,302 | Nutritionist | nutrition, food studies, public health |
| @SalihAlansari | 138,271 | Public Health | Public Health, Chronic Diseases, Walking |
| @tourejansari | 137,278 | Travel Blogger | Travel, SEO, International destinations |
| @AmyTaylorNYC | 123,764 | - | - |
| @JamesHamiltonCL | 118,175 | Politician | Travel, Food, Photography |
| @MFBrooklyn | 101,799 | Fan | Howard Stern, Wackpack, Super dedicated |
| @mjgranger1 | 95,392 | Author | Family, Education, Veterans |
| @WindsorMann | 85,190 | Writer | politics, writing, humor |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,721
Followers With Bio
5,278
Followers Without Bio
52.01%
% With Bio
47.99%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,197 analyzed10,381
Combined Engagement
2,240
Total Likes
8,141
Total Retweets
2,076
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @ericuman: 1/ A couple of months ago, I discovered my health insurer was monitoring my sleep and using it to deny me benefits. So I told my colleague @marshall_allen… https://t.co/BYU1956k1a
RT @nytimes: While you might think you’re not eating much sugar, chances are you’re eating a lot more than you realize. Our 7-day sugar challenge will show you strategies to cut back.
“We need to ban the sale of junk food completely in hospitals. If people want to buy this stuff, that’s fine, they can go out and get it, but hospitals should not be selling it. They should be selling decent, healthy food.” -@DrAseemMalhotra https://t.co/Tg88JtzF8H
It’s not about obesity, it never was. The key to the kingdom is that it is not about obesity, it is about metabolic dysfunction and anyone can get it, and that’s what makes it a public health crisis, because obesity is a result of the problem, not the cause.
RT @ABC: Utah is paying public employees to travel to Mexico to fill their prescription medications in a program aimed at reducing the high cost of prescription drugs. https://t.co/tQ4t0ZStlW
Key Insights & Takeaways
Lustig emphasizes that metabolic dysfunction, not obesity, is the key issue. He calls for banning junk food sales in hospitals to promote healthier environments. He uses holidays like Christmas to promote sugar-free lifestyles and raise awareness.
Strengths
- + Established follower base of 81,914
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @RobertLustigMD reveals an growing Twitter presence with 81,914 followers. The account demonstrates a content-creator strategy, averaging 70.2 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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