Nein.
A Compendium of Utopian Negation. Editor: Eric Jarosinski, Failed Intellectual (Emeritus).
178,810
Followers
6,130
Following
32,355
Tweets
337.2
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NeinQuarterly'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: Macro Influencer (100K+)
- Account Age:2012-01-09
- Verification:No
- Location:New York, NY.
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:229.3
- Avg Retweets per Tweet:107.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,193 tweetsThe account averages around 4,400 likes and 2,131 retweets per tweet, indicating a moderate level of engagement. The content appears to resonate with a niche but active audience.
229.3
Avg Likes/Tweet
107.8
Avg Retweets/Tweet
732,305
Total Likes
344,317
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
105
Median Likes
62
Median Retweets
383
75th Percentile
13,953
Top Tweet
1.89
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
93.3%
Original
1.7%
Replies
4.5%
Retweets
0.5%
Quotes
0.0%
Threads
0.3%
With Media
31.4%
With Links
14.8%
With #Tags
15.9%
With @Mentions
0.0%
With Emojis
82
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.5%
Weekday Posts
25.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,193 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 143 retweets (4% 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 3,193 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 50,000 followersThe audience likely includes politically engaged individuals and academics interested in critical theory and political philosophy. They may be drawn to the account's provocative and thought-provoking content.
Average
Audience Quality
21.1%
Suspicion Index
24.3%
Low-Quality %
74
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.8%
Empty Bio
20.1%
<10 Tweets
14.6%
Mass Following (>2K)
0.0%
New (<90 days)
43.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.7%
No URL
14.8%
<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.
69,357,058
Total Potential Reach
74
Median Follower Reach
308
75th Percentile Reach
10.0%
>1K followers
1.3%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
65.3%
Creators
32,629 accounts
14.6%
Consumers
7,300 accounts
20.1%
Dormant
10,071 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):
463
Verified Followers
0.46% of total
12,870
Protected Accounts
12.74% 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 | 14,100,332 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BDUTT | 7,127,384 | Journalist | Journalism, Reporting, Writing |
| @janboehm | 2,720,506 | Satirist | satire, podcasting, comedy |
| @ETemelkuran | 2,710,670 | Author | Politics, Literature, Activism |
| @AnwarLodhi | 2,267,463 | Journalist | Journalism, HR, Blogging |
| @matshummels | 2,142,919 | Footballer | Football, Germany, Sports |
| @6BillionPeople | 2,033,568 | - | - |
| @ACLU | 1,899,170 | Legal advocacy | legal, advocacy, nonprofit |
| @PritishNandy | 1,888,776 | Multifaceted | Poetry, Journalism, Filmmaking |
| @Elif_Safak | 1,651,793 | Author | Storytelling, Feminism, Human Rights |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,011
Followers With Bio
37,988
Followers Without Bio
62.39%
% With Bio
37.61%
% 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 3,193 analyzed42,400
Combined Engagement
28,958
Total Likes
13,442
Total Retweets
8,480
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
Democracy. Born in Greece. Died in Florida.
Rage. Rage. Against the dining of the right.
A gentle reminder. From ideology. https://t.co/flDHHSetxh
Mediocrity walks into a bar. And requests it be lowered.
ALT + RIGHT + DELETE
Key Insights & Takeaways
The account frequently uses provocative and confrontational language to challenge political and ideological norms. It references historical and philosophical concepts to frame contemporary political issues. The content often highlights contradictions and failures in political systems and ideologies.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 178,810
- + 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 @NeinQuarterly reveals an well-established Twitter presence with 178,810 followers. The account demonstrates a content-creator strategy, averaging 337.2 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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