Jan Jekielek

Jan Jekielek

@JanJekielek

The @EpochTimes Senior Editor 🇨🇦🇺🇸 (❤🇵🇱🇭🇰🇹🇼) • @AmThoughtLeader host • https://findingmanny.com/ holocaust doc🎦 producer. ALERTS👉https://www.theepochtimes.com/epochtv/newsletters/american_thought_leaders

Washington, DC https://www.theepochtimes.com/author-jan-jekielek Joined 2008-08-04 Date of Analysis: Dec 16, 2025

135,900

Followers

8,698

Following

48,866

Tweets

1,629.6

Avg Engagement

877

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @JanJekielek'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:2008-08-04
  • Verification:No
  • Location:Washington, DC

Data Summary

  • Tweets Analyzed:3,215
  • Avg Likes per Tweet:69.1
  • Avg Retweets per Tweet:1,560.5
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,215 tweets

His tweets receive a moderate level of engagement, with an average of 4,324 likes and 2,047 retweets per tweet. This suggests a dedicated but not overwhelmingly active audience.

69.1

Avg Likes/Tweet

1,560.5

Avg Retweets/Tweet

222,021

Total Likes

5,017,136

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

97

Median Retweets

693

75th Percentile

197,309

Top Tweet

11.99

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

11.7%

Original

12.8%

Replies

73.7%

Retweets

1.9%

Quotes

0.0%

Threads

0.2%

With Media

84.1%

With Links

19.0%

With #Tags

91.6%

With @Mentions

29.8%

With Emojis

244

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.09

Reply/Original Ratio

0.03

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

68.0%

Weekday Posts

32.0%

Weekend Posts

Top Hashtags

#ccp (84) #china (71) #atlsundaywatchparty (40) #covid19 (32) #twitterfiles (27) #cpac (14) #censorship (13) #durhamreport (10) #falungong (10) #1 (9)

Most Mentioned

@janjekielek (351) @amthoughtleader (228) @epochtimes (153) @elonmusk (148) @drjbhattacharya (75) @jeffreyatucker (57) @mtaibbi (44) @robertkennedyjr (44) @kashscorner (38) @boriquagato (37)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,215 tweets

Content Type Distribution

Content Breakdown

Original Tweets 376 (12%)
Replies 411 (13%)
Retweets 2,368 (74%)
Quote Tweets 60 (2%)

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 2,368 retweets (74% 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 3,215 tweets

Engagement 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 10,000 followers

His audience likely includes politically engaged individuals and those interested in alternative media. The content appeals to people seeking critical perspectives on current events and government actions.

Average

Audience Quality

21.7%

Suspicion Index

27.2%

Low-Quality %

83

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

43.2%

Empty Bio

16.8%

<10 Tweets

18.9%

Mass Following (>2K)

0.0%

New (<90 days)

39.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

89.4%

No URL

11.1%

<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 Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

14,193,668

Total Potential Reach

83

Median Follower Reach

391

75th Percentile Reach

13.9%

>1K followers

1.9%

>10K followers

0.5%

>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).

68.9%

Creators

6,886 accounts

14.3%

Consumers

1,435 accounts

16.8%

Dormant

1,679 accounts

740

Verified Followers

7.4% of total

6.4%

Professional Bios

founder, dev, analyst, etc.

0.14

Median Follow Ratio

follower/following

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):

United States (208) USA (81) Texas, USA (70) Canada (58) Florida, USA (57) California, USA (36) Florida (29) Earth (29) New York, USA (29) Australia (25)

740

Verified Followers

7.4% of total

753

Protected Accounts

7.53% of total

5 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
@IamMzilikazi 550,117 Musician Pan-African music, Album, Rise
@SenRonJohnson 531,824 Senator Politics, Government, Security
@MarioNawfal 461,440 - -
@CortesSteve 409,481 News Anchor News, Trump, Hispanic
@WatchChad 393,223 Politician Republican, Conservative, Blaze TV
@stkirsch 320,305 Philanthropist COVID-19, Vaccine Safety, Philanthropy
@flaviogordon 202,433 Anthropologist Anthropology, Author, Corruption
@Dominiquetaegon 193,230 - -
@Julio_Rosas11 183,399 Journalist U.S. Marine, Senior Writer, Conservative Politics
@intheMatrixxx 180,070 Podcaster MAGA, Conservative, Patriot

Top Keywords in Follower Bios

love (365) god (347) conservative (321) trump (291) freedom (289) truth (280) patriot (269) life (249) family (222) christian (206)

Top Hashtags in Follower Bios

#maga (131) #2a (50) #bitcoin (47) #trump2024 (35) #fjb (32) #americafirst (30) #pureblood (26) #1a (26) #patriot (24) #trump (23)

5,682

Followers With Bio

4,318

Followers Without Bio

56.82%

% With Bio

43.18%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,215 analyzed

581,636

Combined Engagement

0

Total Likes

581,636

Total Retweets

116,327

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Politics Media Conspiracy Theories Health Government Corruption

Key Insights & Takeaways

He frequently shares personal health experiences, which may serve to humanize his content and build trust with followers. His tweets often reference political corruption and foreign influence, indicating a focus on exposing perceived conspiracies. He uses multimedia, such as links to videos, to support his claims and provide additional context.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 135,900
  • + 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 @JanJekielek reveals an exceptionally influential Twitter presence with 135,900 followers. The account demonstrates a conversation-first approach, averaging 1,629.6 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025