Jon Levy
Professor + Chair @busphEH. Air, climate, housing, COVID with EJ lens. Believes there are systemic injustices that we need to address. May or may not be notable
23,950
Followers
2,255
Following
5,794
Tweets
434.1
Avg Engagement
342
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jonlevyBU'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:2015-09-19
- Verification:No
- Location:Boston, MA
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:279.6
- Avg Retweets per Tweet:154.5
- Followers Analyzed:24,264
Engagement Analysis
Based on 3,247 tweetsHis tweets receive a high number of likes and retweets, indicating broad public interest. The engagement is consistent across various topics, from science to everyday life.
279.6
Avg Likes/Tweet
154.5
Avg Retweets/Tweet
907,899
Total Likes
501,622
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
4
Median Retweets
121
75th Percentile
108,930
Top Tweet
18.13
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
21.8%
Original
50.7%
Replies
22.2%
Retweets
5.3%
Quotes
0.0%
Threads
0.2%
With Media
44.1%
With Links
19.7%
With #Tags
54.2%
With @Mentions
4.3%
With Emojis
231
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.32
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.2%
Weekday Posts
31.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 720 retweets (22% 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 3,247 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 24,264 followersHis audience includes students, academics, and public health enthusiasts. The content appeals to those interested in environmental justice and health equity.
Average
Audience Quality
20.3%
Suspicion Index
14.7%
Low-Quality %
263
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.6%
Empty Bio
9.2%
<10 Tweets
36.5%
Mass Following (>2K)
0.0%
New (<90 days)
31.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.9%
No URL
5.8%
<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.
71,368,704
Total Potential Reach
263
Median Follower Reach
870
75th Percentile Reach
22.6%
>1K followers
3.0%
>10K followers
0.7%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
80.2%
Creators
19,468 accounts
10.6%
Consumers
2,572 accounts
9.2%
Dormant
2,224 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):
446
Verified Followers
1.84% of total
3,162
Protected Accounts
13.03% of total
9 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 |
|---|---|---|---|
| @JohnCena | 14,106,822 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,662 | - | - |
| @joncoopertweets | 1,247,950 | Political Strategist | Politics, Fundraising, Campaigns |
| @funder | 1,106,985 | Journalist | Politics, Journalism, Music |
| @DrEricDing | 783,027 | Epidemiologist | Epidemiology, Health, Whistleblower |
| @claudiacisneros | 644,051 | Journalist | Feminism, Human Rights, Climate Change |
| @OnlyInBOS | 637,568 | Local News | - |
| @localscale | 613,087 | Platform Developer | impact, acceleration, initiatives |
| @OccupyDemocrats | 534,059 | Political Activist | Progressive, Grassroots, Politics |
| @PublicHealth | 511,737 | Public Health | science, action, health |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
18,526
Followers With Bio
5,738
Followers Without Bio
76.35%
% With Bio
23.65%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,247 analyzed261,169
Combined Engagement
227,042
Total Likes
34,127
Total Retweets
52,234
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
Yes, you can wear an N95 and still get COVID, especially with BA.5. But that doesn't mean masks don't work. You can also die in a car crash wearing a seat belt, but that doesn't mean seat belts don't work. Masks reduce the odds of infection. Be probabilistic, not fatalistic.
8 yr old: I’m confused about they/them pronouns. Me (ready for Serious Parenting): OK, what are you confused about? 8 yr old: When do you use they and when do you use them? Yep, it was a grammar question. He understood the rest. The kids get it.
I didn’t do any work over the holidays, but I maintained a high level of stress and inadequate sleep so I could ease the transition back.
Going remote for a few days is not school closure. Wearing a higher quality mask is not lockdown. Giving people access to free tests is not shutting down the economy. Can we acknowledge that there is something between doing nothing and returning to spring 2020? Then do it?
1. So much hostility and confusion from people who saw me (on a Zoom) wearing a mask in my office this week! The question is: Am I crazy, am I virtue signaling, am I fear mongering, or is there some rationale to wear a mask in a private office? Let’s discuss! 🧵
Key Insights & Takeaways
He uses personal stories to explain complex topics like pronouns and public health. He addresses misinformation, such as the effectiveness of masks during the pandemic. He balances academic expertise with relatable, everyday experiences.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 23,950
- + High community engagement through conversations
- + 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 @jonlevyBU reveals an well-established Twitter presence with 23,950 followers. The account demonstrates a conversation-first approach, averaging 434.1 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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