Rachel Schraer

Rachel Schraer

@rachelschraer

Senior reporter for @BBCNews and @BBCTrending, covering health and misinformation. Send me things to investigate: rachel.schraer@bbc.co. uk

Debunk bed https://www.bbc.co.uk/news Joined 2012-04-14 Date of Analysis: ديسمبر 16, 2025

11903

Followers

3080

Following

4861

Tweets

306,2

Avg Engagement

215

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @rachelschraer'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:2012-04-14
  • Verification:No
  • Location:Debunk bed

Data Summary

  • Tweets Analyzed:3237
  • Avg Likes per Tweet:19,4
  • Avg Retweets per Tweet:286,8
  • Followers Analyzed:11418

Engagement Analysis

Based on 3237 tweets

Her tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across her posts, suggesting a loyal and active following.

19,4

Avg Likes/Tweet

286,8

Avg Retweets/Tweet

62850

Total Likes

928365

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

5

75th Percentile

90907

Top Tweet

25,73

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

13,7%

Original

68,3%

Replies

12,8%

Retweets

5,1%

Quotes

0,0%

Threads

0,3%

With Media

34,1%

With Links

2,5%

With #Tags

77,2%

With @Mentions

5,8%

With Emojis

160

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

4,97

Reply/Original Ratio

0,4

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

91,8%

Weekday Posts

8,2%

Weekend Posts

Top Hashtags

#covid19 (8) #coronavirus (7) #ge2019 (5) #covid (4) #coronavirusuk (3) #covid19uk (3) #brexitdeal (3) #nhs (2) #bbc100women (2) #qedcon (2)

Most Mentioned

@bbcnews (79) @rachelschraer (76) @jackagoodman (58) @roysocmed (39) @bbc (33) @vanessa_kisuule (30) @bbcrealitycheck (30) @josesenco (27) @johnincarlisle (25) @northernmanv2 (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 3237 tweets

Content Type Distribution

Content Breakdown

Original Tweets 445 (14%)
Replies 2212 (68%)
Retweets 414 (13%)
Quote Tweets 166 (5%)

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 414 retweets (13% 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 3237 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 11418 followers

Her audience includes news consumers, health professionals, and individuals interested in misinformation and public health. Her work reaches a broad audience interested in factual and timely health reporting.

Good

Audience Quality

18,0%

Suspicion Index

12,8%

Low-Quality %

440

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

21,0%

Empty Bio

7,5%

<10 Tweets

37,8%

Mass Following (>2K)

0,0%

New (<90 days)

21,5%

Low Ratio (<0.1)

0,0%

New (<180 days)

66,9%

No URL

4,6%

<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.

75493278

Total Potential Reach

440

Median Follower Reach

1777

75th Percentile Reach

35,0%

>1K followers

7,0%

>10K followers

1,5%

>50K followers

0,6%

>100K followers

Creator vs Consumer Split

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

83,6%

Creators

9542 accounts

9,0%

Consumers

1023 accounts

7,5%

Dormant

853 accounts

855

Verified Followers

7,49% of total

26,5%

Professional Bios

founder, dev, analyst, etc.

0,34

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 (688) London, England (637) United Kingdom (220) UK (212) England, United Kingdom (124) London, UK (101) Bristol (56) Manchester, England (52) England (48) Bristol, England (47)

855

Verified Followers

7.49% of total

857

Protected Accounts

7.51% 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 14106670 Wrestler Wrestling, Motivation, Self-promotion
@lonelyplanet 6185257 Travel Blogger travel, photography, videos
@verified 4201244 - -
@MartinSLewis 2210807 Financial Expert Money saving, tips, musings
@nikhilchinapa 1932755 Presenter Music, Festivals, Entrepreneur
@DrEricDing 783062 Epidemiologist Epidemiology, Health, Whistleblower
@BBCNewsnight 726748 News broadcaster politics, current affairs, interviews
@carolecadwalla 714601 Journalist journalism, activism, parenting
@krishgm 695973 Journalist News, Unreported World, Podcast
@nolanwpeterson 540204 - -

Top Keywords in Follower Bios

views (974) health (662) journalist (583) editor (396) news (343) bbc (335) science (324) former (320) social (313) director (312)

Top Hashtags in Follower Bios

#fbpe (38) #nhs (27) #gtto (24) #mentalhealth (23) #longcovid (20) #blm (19) #healthcare (13) #osint (12) #covidisairborne (11) #standwithukraine (11)

9022

Followers With Bio

2396

Followers Without Bio

79.02%

% With Bio

20.98%

% 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 3237 analyzed

297591

Combined Engagement

0

Total Likes

297591

Total Retweets

59518

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Health Misinformation Vaccines Public Health Journalism

Key Insights & Takeaways

She focuses on vaccine efficacy and transmission rates, highlighting key findings from clinical trials. Her role as a health disinformation reporter positions her as a trusted source in combating misinformation. She often addresses public concerns and provides clarity on complex health topics.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 11903
  • + 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 @rachelschraer reveals an well-established Twitter presence with 11903 followers. The account demonstrates a conversation-first approach, averaging 306,2 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: ديسمبر 16, 2025