Tyler Black, MD

Tyler Black, MD

@tylerblack32

Suicidologist, emergency psychiatrist and pharmacologist. Data geek, ok, lots of other geek. Views expressed are my own and not my employers'. he/him/his

Vancouver, BC, Canada https://suicidology.substack.com/ Joined 2010-07-09 Date of Analysis: Dec 16, 2025

53,675

Followers

4,199

Following

58,055

Tweets

198.4

Avg Engagement

607

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @tylerblack32'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:2010-07-09
  • Verification:No
  • Location:Vancouver, BC, Canada

Data Summary

  • Tweets Analyzed:3,243
  • Avg Likes per Tweet:36.3
  • Avg Retweets per Tweet:162.2
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,243 tweets

His tweets typically receive a high number of likes and retweets, indicating strong audience interaction. He often responds to comments and engages in discussions on controversial topics.

36.3

Avg Likes/Tweet

162.2

Avg Retweets/Tweet

117,577

Total Likes

525,903

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

2

Median Likes

0

Median Retweets

27

75th Percentile

51,832

Top Tweet

3.7

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

7.0%

Original

78.7%

Replies

10.6%

Retweets

3.7%

Quotes

0.0%

Threads

0.8%

With Media

31.3%

With Links

2.5%

With #Tags

81.1%

With @Mentions

3.1%

With Emojis

172

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

11.3

Reply/Original Ratio

0.35

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

75.1%

Weekday Posts

24.9%

Weekend Posts

Top Hashtags

#leakyumbrella (5) #bcpoli (5) #scienceupfirst (4) #covid19 (4) #mentalhealth (4) #vancouver (3) #1 (3) #moralpanic (3) #iwd2023 (3) #internationalwomensday (3)

Most Mentioned

@marklruffalo (82) @gorskon (69) @peterhotez (65) @joerogan (60) @jordanbpeterson (53) @ryanjblack (46) @atrachelgilmore (46) @debiecjacek (45) @jonathanstea (42) @tylerblack32 (40)

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Content Strategy Analysis

Based on 3,243 tweets

Content Type Distribution

Content Breakdown

Original Tweets 226 (7%)
Replies 2,553 (79%)
Retweets 343 (11%)
Quote Tweets 121 (4%)

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 343 retweets (11% 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 3,243 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 followers include healthcare professionals, science enthusiasts, and individuals interested in mental health and public policy. He also reaches out to anti-vaxxers and skeptics to promote scientific literacy.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

178

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

100.0%

Empty Bio

100.0%

<10 Tweets

0.0%

Mass Following (>2K)

0.0%

New (<90 days)

0.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

81.2%

No URL

100.0%

<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.

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Follower Reach & Influence

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

36,266,219

Total Potential Reach

178

Median Follower Reach

621

75th Percentile Reach

17.7%

>1K followers

2.4%

>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).

0.0%

Creators

0 accounts

0.0%

Consumers

0 accounts

100.0%

Dormant

10,000 accounts

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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 (124) Canada (105) California, USA (53) Los Angeles, CA (52) Toronto, Ontario (51) USA (44) Chicago, IL (43) London, England (42) New York, NY (42) Australia (41)

0

Verified Followers

0.0% of total

1,157

Protected Accounts

11.57% 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
@JohnCena 14,097,492 Wrestler Wrestling, Motivation, Self-promotion
@sciam 4,238,399 Science Communication Science, Discoveries, Insights
@MarioNawfal 923,016 - -
@iownjd 761,490 Lawyer learn, inspire, engage
@NaomiAKlein 681,030 Professor Climate Justice, Activism, Journalism
@CalvinHelin 580,861 Author empowerment, responsibility, self-reliance
@briebriejoy 361,129 Political Commentator Bernie Sanders, Podcasting, Politics
@EvanKirstel 350,319 Tech Influencer Tech, B2B, Social media
@StephenCaggiano 341,541 Content Creator Content creation, Access, Resource for creators
@CityNewsVAN 297,186 News Outlet news, traffic, weather

Top Keywords in Follower Bios

health (568) sheher (536) mom (316) science (288) views (269) lover (249) mental (243) love (243) hehim (233) student (220)

Top Hashtags in Follower Bios

#blm (76) #covidisairborne (45) #longcovid (42) #resist (41) #blacklivesmatter (30) #mentalhealth (25) #voteblue (21) #adhd (20) #actuallyautistic (20) #covidisnotover (19)

7,379

Followers With Bio

2,621

Followers Without Bio

73.79%

% With Bio

26.21%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,243 analyzed

157,322

Combined Engagement

0

Total Likes

157,322

Total Retweets

31,464

Avg per Tweet

Key Metrics for Viral Tweets

20%

With Media

0%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Public Health Mental Health Science Communication Vaccines Evidence-Based Medicine Health Policy

Key Insights & Takeaways

He frequently uses analogies to explain complex medical and scientific concepts, making them more relatable to a general audience. He emphasizes the importance of evidence-based medicine and public health measures, such as vaccines and safety protocols. He actively engages with critics and skeptics, providing data and research to support his viewpoints.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 53,675
  • + 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 @tylerblack32 reveals an well-established Twitter presence with 53,675 followers. The account demonstrates a conversation-first approach, averaging 198.4 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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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