Richard D. Wolff

Richard D. Wolff

@profwolff

Host of #EconomicUpdate, Prof. of Economics Emeritus @UMassAmherst, visiting Prof. @TheNewSchool, founder @democracyatwrk. #WeCanDoBetterThanCapitalism

New York, NY http://t.co/5PkglVcJgI Joined 2009-10-01 Date of Analysis: Dec 16, 2025

239,648

Followers

1,991

Following

12,444

Tweets

389.9

Avg Engagement

2,269

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @profwolff'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:2009-10-01
  • Verification:No
  • Location:New York, NY

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:303.9
  • Avg Retweets per Tweet:86.0
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

His tweets typically receive a high number of likes and retweets, indicating strong public interest in his economic analyses and critiques. The engagement suggests a broad and active audience that values his insights.

303.9

Avg Likes/Tweet

86.0

Avg Retweets/Tweet

987,800

Total Likes

279,470

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

150

Median Likes

46

Median Retweets

376

75th Percentile

18,756

Top Tweet

1.63

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

85.5%

Original

1.7%

Replies

12.5%

Retweets

0.3%

Quotes

0.0%

Threads

0.3%

With Media

73.8%

With Links

22.1%

With #Tags

14.7%

With @Mentions

0.1%

With Emojis

228

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.02

Reply/Original Ratio

0.03

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

74.8%

Weekday Posts

25.2%

Weekend Posts

Top Hashtags

#economicupdate (234) #wecandobetterthancapitalism (140) #howcapitalismworks (127) #askprofwolff (108) #globalcapitalism (68) #wolffresponds (26) #1 (24) #2 (9) #3 (8) #democracyatwork (4)

Most Mentioned

@democracyatwrk (376) @profwolff (324) @w (32) @profdavidharvey (15) @stucknation (9) @kthalps (8) @chrislynnhedges (7) @briebriejoy (6) @leftforum (6) @marwilliamson (5)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,779 (86%)
Replies 55 (2%)
Retweets 405 (12%)
Quote Tweets 11 (0%)

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 405 retweets (12% 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 3,250 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 students, academics, and individuals interested in economic theory and policy. They are likely engaged with political and social issues, particularly those related to capitalism and global economics.

Average

Audience Quality

22.1%

Suspicion Index

25.6%

Low-Quality %

44

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

37.6%

Empty Bio

19.7%

<10 Tweets

13.1%

Mass Following (>2K)

0.0%

New (<90 days)

49.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

86.1%

No URL

13.5%

<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.

62,334,387

Total Potential Reach

44

Median Follower Reach

193

75th Percentile Reach

7.2%

>1K followers

1.0%

>10K followers

0.2%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

63.2%

Creators

31,608 accounts

17.1%

Consumers

8,530 accounts

19.7%

Dormant

9,862 accounts

551

Verified Followers

1.1% of total

7.9%

Professional Bios

founder, dev, analyst, etc.

0.1

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 (446) Los Angeles, CA (260) London, England (200) California, USA (180) Chicago, IL (178) Canada (170) Earth (149) Washington, DC (144) New York, NY (143) London (133)

920

Verified Followers

0.91% of total

11,204

Protected Accounts

11.1% of total

6 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 14,100,490 Wrestler Wrestling, Motivation, Self-promotion
@jordanbpeterson 4,135,323 Psychologist Education, Psychology, Podcasts
@RT_com 3,086,522 News Outlet Freedom, Truth, News
@marwilliamson 2,782,258 Author spirituality, activism, love
@ETemelkuran 2,710,810 Author Politics, Literature, Activism
@RBReich 1,594,856 Professor Economics, Politics, Inequality
@LeonKrauze 1,584,345 Journalist TV, Journalism, Podcasts
@brb1954 1,482,293 Politician Politics, Regional Development, Janata Samajwadi Party
@SinghLions 1,334,283 Restaurateur Food, Travel, Influencer
@mehdirhasan 1,288,583 Host Politics, News, Journalism

Top Keywords in Follower Bios

hehim (3,139) world (1,626) love (1,547) politics (1,476) student (1,469) life (1,358) socialist (1,294) sheher (1,220) political (1,162) music (1,152)

Top Hashtags in Follower Bios

#blm (393) #freepalestine (220) #blacklivesmatter (216) #bitcoin (190) #m4a (146) #resist (144) #freeassange (136) #1 (83) #medicareforall (74) #acab (66)

65,629

Followers With Bio

35,337

Followers Without Bio

65.0%

% With Bio

35.0%

% 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 3,250 analyzed

65,427

Combined Engagement

51,978

Total Likes

13,449

Total Retweets

13,085

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

0%

With @Mentions

20%

With Links

Topical Analysis:

Capitalism Economic Policy Global Trade Democracy Social Inequality Political Movements
Richard D. Wolff
@profwolff

When many shortages were reported in the old USSR, communism - the system - got blamed. Now that we suffer many shortages, everything other than the system - capitalism - gets blamed. Dont be fooled.

2022-07-09
Retweets: 3,289 Likes: 15,467 Engagement: 18,756
Richard D. Wolff
@profwolff

Who is the more important trading partner: China (red) or USA (blue)? How drastically the world economy has changed. No wonder US and EU miscalculated how sanctions would "weaken" Russia. Thanks to Henry Hakamaki for the graphic. https://t.co/YUOVVOseMz

2022-11-12
Retweets: 3,592 Likes: 11,863 Engagement: 15,455
Richard D. Wolff
@profwolff

Trump did not bring fascism; it brought him. Fascism is capitalism's harsh, savage response to the divisive social crises it imposes on society (depressions, extreme racial and economic inequalities, etc.). 1/2

2021-01-20
Retweets: 2,838 Likes: 10,630 Engagement: 13,468
Richard D. Wolff
@profwolff

Ignore word salad debates over this recession. Here's what matters: we live in a system, capitalism, that is deeply unstable, lurching from inflation to recession &amp; back endlessly disturbing our lives, jobs, institutions. End taboo against facing that our system is our proble

2022-07-29
Retweets: 1,747 Likes: 7,196 Engagement: 8,943
Richard D. Wolff
@profwolff

Leaders who saw no moral issues with invading and occupying (for 20+ years) Afghanistan and Iraq are now "morally outraged" by Putin's invasion of Ukraine? That's hypocrisy, not morality.

2022-03-03
Retweets: 1,983 Likes: 6,822 Engagement: 8,805

Key Insights & Takeaways

Prof. Wolff often critiques capitalism and highlights its social and economic failures. He emphasizes the need for systemic change and alternative economic models. He frequently discusses global economic shifts and their implications for trade and policy.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 239,648
  • + 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 @profwolff reveals an well-established Twitter presence with 239,648 followers. The account demonstrates a content-creator strategy, averaging 389.9 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