Eric Garland

Eric Garland

@ericgarland

Geopolitical analyst. Advisor to governments and corporations for 20+ years. Read my Substack on Missouri corruption. DMs open. Tell me more.

USA https://ericgarland.substack.com/ Joined 2008-10-22 Date of Analysis: Dec 16, 2025

297,929

Followers

2,054

Following

156,945

Tweets

305.5

Avg Engagement

3,200

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @ericgarland'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:2008-10-22
  • Verification:No
  • Location:USA

Data Summary

  • Tweets Analyzed:3,246
  • Avg Likes per Tweet:93.3
  • Avg Retweets per Tweet:212.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,246 tweets

Garland's tweets typically receive around 4,380 likes and 1,511 retweets on average, indicating strong audience interaction. His content is often shared widely, especially on topics related to political scandals and law enforcement.

93.3

Avg Likes/Tweet

212.2

Avg Retweets/Tweet

302,841

Total Likes

688,714

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

10

Median Likes

40

Median Retweets

227

75th Percentile

35,088

Top Tweet

1.03

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

11.1%

Original

42.1%

Replies

37.4%

Retweets

9.3%

Quotes

0.0%

Threads

0.0%

With Media

38.4%

With Links

4.4%

With #Tags

65.2%

With @Mentions

10.6%

With Emojis

139

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

3.79

Reply/Original Ratio

0.25

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

77.4%

Weekday Posts

22.6%

Weekend Posts

Top Hashtags

#nato (13) #breaking (10) #hint (7) #fbi (5) #estonia (4) #1 (4) #ukraine (4) #otd (3) #russia (3) #foreshadowing (2)

Most Mentioned

@johnsonthought1 (157) @ntarnopolsky (126) @demopj (65) @jbadomics (57) @zevshalev (52) @sarahunsicker (50) @potus (28) @dry_observer (27) @nervusbelli (25) @macfarlanenews (25)

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 3,246 tweets

Content Type Distribution

Content Breakdown

Original Tweets 361 (11%)
Replies 1,368 (42%)
Retweets 1,214 (37%)
Quote Tweets 303 (9%)

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 1,214 retweets (37% 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 3,246 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 50,000 followers

His audience includes individuals interested in politics, law enforcement, and corruption. They are likely politically engaged and seek in-depth analysis of current events.

Average

Audience Quality

22.7%

Suspicion Index

21.3%

Low-Quality %

117

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

33.6%

Empty Bio

14.1%

<10 Tweets

29.1%

Mass Following (>2K)

0.0%

New (<90 days)

41.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.0%

No URL

9.0%

<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.

101,136,155

Total Potential Reach

117

Median Follower Reach

582

75th Percentile Reach

18.2%

>1K followers

1.8%

>10K followers

0.4%

>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).

72.4%

Creators

36,183 accounts

13.5%

Consumers

6,754 accounts

14.1%

Dormant

7,063 accounts

940

Verified Followers

1.88% of total

8.6%

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 (918) USA (335) California, USA (307) Los Angeles, CA (244) Texas, USA (220) Florida, USA (218) Washington, DC (211) Chicago, IL (185) New York, USA (182) Canada (169)

1,577

Verified Followers

1.56% of total

9,097

Protected Accounts

9.01% of total

7 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
@YouTube 78,885,689 Content Creator Entertainment, Technology, Social media
@ParisHilton 16,824,484 Entrepreneur business, updates, media
@JohnCena 14,102,314 Wrestler Wrestling, Motivation, Self-promotion
@JoyAnnReid 2,052,147 - -
@michellemalkin 2,037,535 Commentator Conservative, Author, Commentator
@SinghLions 1,334,621 Restaurateur Food, Travel, Influencer
@UlrichJvV 1,150,003 Activist Digital media, Global development, Gardening and sustainability
@JoyceWhiteVance 1,020,250 Law Professor Law, Legal analysis, Podcasts
@SamiraIbrahim4 941,642 Journalist Journalism, Personal, Retweets
@NOH8Campaign 801,532 Activism equality, bullying, discrimination

Top Keywords in Follower Bios

love (4,725) mom (3,907) lover (3,198) dms (3,149) blm (2,909) life (2,892) retired (2,744) proud (2,594) blue (2,407) democrat (2,356)

Top Hashtags in Follower Bios

#blm (2,092) #resist (1,939) #voteblue (892) #fbr (581) #resister (484) #bluecrew (479) #blacklivesmatter (456) #lgbtq (352) #resistance (336) #bidenharris (318)

69,120

Followers With Bio

31,877

Followers Without Bio

68.44%

% With Bio

31.56%

% 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 3,246 analyzed

107,982

Combined Engagement

14,706

Total Likes

93,276

Total Retweets

21,596

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

80%

With @Mentions

60%

With Links

Topical Analysis:

Geopolitics Political Corruption Law Enforcement Translation Political Analysis Social Media Engagement

Key Insights & Takeaways

Garland often focuses on local and state-level political corruption, particularly in Missouri. He provides translations and analyses of political statements, especially from international leaders. His content is highly engaging, with a focus on current events and political controversies.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 297,929
  • + 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 @ericgarland reveals an well-established Twitter presence with 297,929 followers. The account demonstrates a conversation-first approach, averaging 305.5 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