David Robson

David Robson

@d_a_robson

Award-winning science writer. My second book The Expectation Effect (Canongate/Henry Holt) is out now. Agent: @PlittyC

London https://www.davidrobson.me/the-expectation-effect Joined 2009-04-01 Date of Analysis: Dec 16, 2025

13,052

Followers

3,920

Following

11,327

Tweets

240

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @d_a_robson'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:2009-04-01
  • Verification:No
  • Location:London

Data Summary

  • Followers Analyzed:13,013

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Audience Demographics

Based on 13,013 followers

The audience likely includes science enthusiasts, educators, and readers interested in nonfiction. They may also be writers and students looking for inspiration and knowledge.

Good

Audience Quality

17.7%

Suspicion Index

14.5%

Low-Quality %

290

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

22.7%

Empty Bio

10.3%

<10 Tweets

30.2%

Mass Following (>2K)

0.0%

New (<90 days)

25.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

58.2%

No URL

6.4%

<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.

78,726,012

Total Potential Reach

290

Median Follower Reach

1,290

75th Percentile Reach

29.2%

>1K followers

6.0%

>10K followers

1.4%

>50K followers

0.7%

>100K followers

Creator vs Consumer Split

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

77.1%

Creators

10,027 accounts

12.6%

Consumers

1,642 accounts

10.3%

Dormant

1,344 accounts

320

Verified Followers

2.46% of total

28.3%

Professional Bios

founder, dev, analyst, etc.

0.29

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):

London (478) London, England (399) UK (101) United Kingdom (101) London, UK (97) New York, NY (60) United States (56) New York (52) India (52) Washington, DC (49)

320

Verified Followers

2.46% of total

1,193

Protected Accounts

9.17% of total

10 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 14,173,449 Wrestler Wrestling, Motivation, Self-promotion
@MensHealthMag 4,504,081 Health & Fitness fitness, health, nutrition
@newscientist 4,366,433 Science journalist science, news, relevance
@Nigella_Lawson 2,740,978 Chef cooking, updates, contact
@pmarca 1,283,549 Investor Tucked shirt
@druidDUDE 1,260,894 Actor Nature, Magic, Druidry
@techreview 1,211,233 Media Company technology, media, journalism
@StartupPro 973,855 Entrepreneurship Entrepreneurship, Technology, Investing
@BBCEarth 827,797 Nature Documentaries Nature, Exploration, Photography
@depthsofwiki 815,619 Wikipedia Enthusiast Wikipedia, favorite things, fluffybabycow

Top Keywords in Follower Bios

science (657) writer (575) author (523) views (508) health (435) editor (422) journalist (367) life (350) research (347) phd (308)

Top Hashtags in Follower Bios

#scicomm (32) #mentalhealth (28) #ai (26) #leadership (24) #innovation (21) #psychology (18) #tech (17) #science (15) #author (13) #fintech (12)

10,064

Followers With Bio

2,949

Followers Without Bio

77.34%

% With Bio

22.66%

% 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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Key Insights & Takeaways

Focus on science communication and writing Emphasis on book promotion and author presence Professional and informative tone in tweets

Strengths

  • + Established follower base of 13,052
  • + 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 @d_a_robson reveals an growing Twitter presence with 13,052 followers. The account demonstrates a content-creator strategy, averaging 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