Christopher Wylie 🏳️🌈
Head of Insight & Emerging Tech @ H&M. Author. Tech activist. Immigrant. Queer. Whistleblower. / Personal views etc. / Enquires: JMandel(at)WMEAgency(dot)com
154,611
Followers
2,547
Following
3,631
Tweets
1,050.3
Avg Engagement
1,130
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @chrisinsilico'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:2016-10-15
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:3,149
- Avg Likes per Tweet:313.4
- Avg Retweets per Tweet:736.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,149 tweetsHis tweets typically receive high engagement, with an average of 18k likes and 8.5k retweets. This suggests his content resonates strongly with his audience and often sparks debate.
313.4
Avg Likes/Tweet
736.9
Avg Retweets/Tweet
986,873
Total Likes
2,320,537
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
21
Median Retweets
379
75th Percentile
238,889
Top Tweet
6.79
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
13.6%
Original
31.2%
Replies
48.0%
Retweets
7.2%
Quotes
0.0%
Threads
0.2%
With Media
31.0%
With Links
5.5%
With #Tags
77.9%
With @Mentions
12.8%
With Emojis
108
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.3
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,149 tweetsContent Type Distribution
Content Breakdown
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 1,512 retweets (48% 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 3,149 tweetsEngagement 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 followersHis audience is primarily interested in technology, politics, and social media ethics. They are likely to be informed individuals who follow discussions around data privacy and misinformation.
Good
Audience Quality
18.8%
Suspicion Index
18.2%
Low-Quality %
133
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.4%
Empty Bio
11.2%
<10 Tweets
22.7%
Mass Following (>2K)
0.0%
New (<90 days)
35.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.0%
No URL
6.9%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
139,388,851
Total Potential Reach
133
Median Follower Reach
501
75th Percentile Reach
15.3%
>1K followers
2.0%
>10K followers
0.6%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
75.2%
Creators
37,608 accounts
13.6%
Consumers
6,792 accounts
11.2%
Dormant
5,600 accounts
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):
811
Verified Followers
0.8% of total
12,037
Protected Accounts
11.92% 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 | 14,100,930 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AOC | 13,420,814 | Politician | politics, social justice, equality |
| @stephenfry | 12,275,596 | - | - |
| @MarkRuffalo | 8,331,784 | Actor | climate justice, actor, director |
| @GordonRamsay | 7,696,473 | Chef | Cooking, Food, Restaurants |
| @Pornhub | 3,704,129 | Adult Entertainment | porn, videos, models |
| @scooterbraun | 3,597,669 | Music Manager | Music, Philanthropy, Entertainment |
| @Alyssa_Milano | 3,499,418 | - | - |
| @marwilliamson | 2,783,829 | Author | spirituality, activism, love |
| @fbhutto | 2,698,439 | Writer | politics, activism, literature |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
73,617
Followers With Bio
27,381
Followers Without Bio
72.89%
% With Bio
27.11%
% 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 $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,149 analyzed615,461
Combined Engagement
64,281
Total Likes
551,180
Total Retweets
123,092
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @littlelizziev: Please help spread the word! @tiktok_us #facetimeprank https://t.co/D7Q6z3a0sw
RT @OfficialTM_3: You don’t get to stoke the fire at the beginning of the tournament by labelling our anti-racism message as ‘Gesture Polit…
Whatever this report says, here’s what I know: when I was at Cambridge Analytica, the company hired known Russian agents, had data researchers in St Petersburg, tested US voter opinion on Putin’s leadership, and hired hackers from Russia - all while Bannon was in charge.
RT @jack: We’ve made the decision to stop all political advertising on Twitter globally. We believe political message reach should be earne…
RT @tezilyas: #YouClapForMeNow https://t.co/1Dm2hZb6kc
Key Insights & Takeaways
He has a history with Cambridge Analytica and has spoken about the company's ties to Russian agents and data manipulation. He highlights the role of Facebook in radicalizing individuals and enabling violent events. He connects Parler to the former owners of Cambridge Analytica, suggesting a continued interest in data collection and propaganda.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 154,611
- + 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 @chrisinsilico reveals an exceptionally influential Twitter presence with 154,611 followers. The account demonstrates a conversation-first approach, averaging 1,050.3 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