Yoni Freedhoff, MD

Yoni Freedhoff, MD

@YoniFreedhoff

Assoc. Prof. Fam. Med. @UOttawa/Dad/Not A Jew With Trembling Knees (But I May Have Challah)/(He/Him)/Legacy Verified/Won't Hesitate To Block You/עם ישראל חי

Ottawa, Ontario https://yonifreedhoffmd.substack.com/ Joined 2008-11-14 Date of Analysis: Dec 16, 2025

68,448

Followers

16,070

Following

113,585

Tweets

453.7

Avg Engagement

1,368

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @YoniFreedhoff'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:2008-11-14
  • Verification:No
  • Location:Ottawa, Ontario

Data Summary

  • Tweets Analyzed:3,205
  • Avg Likes per Tweet:48.8
  • Avg Retweets per Tweet:404.9
  • Followers Analyzed:9,998

Engagement Analysis

Based on 3,205 tweets

Yoni's tweets typically receive high engagement, with an average of 5,559 likes and 679 retweets per tweet. His content is both informative and thought-provoking, encouraging interaction and discussion.

48.8

Avg Likes/Tweet

404.9

Avg Retweets/Tweet

156,250

Total Likes

1,297,776

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

10

Median Retweets

138

75th Percentile

249,880

Top Tweet

6.63

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

14.6%

Original

26.9%

Replies

48.5%

Retweets

10.0%

Quotes

0.0%

Threads

0.5%

With Media

56.7%

With Links

6.7%

With #Tags

73.7%

With @Mentions

2.7%

With Emojis

169

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.84

Reply/Original Ratio

0.21

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

78.3%

Weekday Posts

21.7%

Weekend Posts

Top Hashtags

#covid19 (14) #ottawa (12) #obesity (9) #longcovid (8) #antisemitism (7) #cdnpoli (6) #onpoli (5) #2 (5) #covidisairborne (5) #1 (4)

Most Mentioned

@jewishwonk (63) @lisa_iannattone (46) @ocdsb (37) @yair_rosenberg (31) @dfisman (31) @thevertlartnic (28) @prof_goldberg (27) @henmazzig (24) @astrokatie (23) @gidmk (23)

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Content Strategy Analysis

Based on 3,205 tweets

Content Type Distribution

Content Breakdown

Original Tweets 467 (15%)
Replies 861 (27%)
Retweets 1,555 (49%)
Quote Tweets 322 (10%)

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 1,555 retweets (49% 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 3,205 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 9,998 followers

His audience includes medical professionals, students, and general followers interested in health, social issues, and personal stories. The mix of data and personal anecdotes appeals to both informed and casual readers.

Average

Audience Quality

21.7%

Suspicion Index

19.6%

Low-Quality %

150

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

30.5%

Empty Bio

14.2%

<10 Tweets

30.3%

Mass Following (>2K)

0.0%

New (<90 days)

35.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

83.1%

No URL

8.8%

<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.

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Follower Reach & Influence

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

29,769,385

Total Potential Reach

150

Median Follower Reach

551

75th Percentile Reach

15.9%

>1K followers

2.3%

>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).

70.4%

Creators

7,036 accounts

15.4%

Consumers

1,543 accounts

14.2%

Dormant

1,419 accounts

133

Verified Followers

1.33% of total

11.9%

Professional Bios

founder, dev, analyst, etc.

0.16

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):

Canada (239) Toronto, Ontario (187) Ottawa, Ontario (146) Ontario, Canada (119) Toronto (95) United States (85) Ottawa (43) Edmonton, Alberta (40) USA (39) Calgary, Alberta (39)

134

Verified Followers

1.34% of total

1,005

Protected Accounts

10.05% 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 14,094,149 Wrestler Wrestling, Motivation, Self-promotion
@iamjennashea 642,601 Adult Entertainer Fans, Money, Shooting
@CalvinHelin 581,849 Author empowerment, responsibility, self-reliance
@IamMzilikazi 553,132 Musician Pan-African music, Album, Rise
@AstroKatie 417,601 Cosmologist Cosmology, Aviation, Catastrophes
@StephenCaggiano 342,201 Content Creator Content creation, Access, Resource for creators
@RealSexyCyborg 242,527 YouTuber Open Source, 3D Printing, Infosec
@Andrew_S_Dykes 237,191 Writer Thoughts, Void, Throwing
@CblocHD 198,988 Influencer Social Media, Live Streaming, Photography
@Coreandor 195,868 Author politics, thriller, author

Top Keywords in Follower Bios

sheher (402) health (375) mom (352) love (307) lover (271) science (262) life (238) covid (203) writer (201) views (197)

Top Hashtags in Follower Bios

#blm (70) #covidisairborne (66) #longcovid (60) #covidisnotover (36) #resist (29) #blacklivesmatter (24) #wearamask (22) #maskup (22) #mecfs (21) #voteblue (18)

6,946

Followers With Bio

3,054

Followers Without Bio

69.46%

% With Bio

30.54%

% 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 3,205 analyzed

420,438

Combined Engagement

0

Total Likes

420,438

Total Retweets

84,088

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Health Social Issues Personal Reflection Data-Driven Analysis Public Health Economic Impact

Key Insights & Takeaways

He uses real-world examples to highlight the impact of societal norms and economic decisions, such as the success of a bar focused on women's sports. He provides statistical data to challenge common perceptions, like the survival rate of car accidents and the importance of seatbelts. He addresses public health concerns with a blend of factual information and personal reflection, such as the potential long-term effects of a severe cold outbreak.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 68,448
  • + 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 @YoniFreedhoff reveals an well-established Twitter presence with 68,448 followers. The account demonstrates a conversation-first approach, averaging 453.7 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