Future of Life Institute
We work on reducing extreme risks and steering transformative technologies to benefit humanity. RT /=/ endorsement
89,666
Followers
1,053
Following
4,976
Tweets
112.9
Avg Engagement
1,198
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FLIxrisk'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:2014-06-02
- Verification:No
- Location:Cambridge, MA
Data Summary
- Tweets Analyzed:3,202
- Avg Likes per Tweet:84.3
- Avg Retweets per Tweet:28.6
- Followers Analyzed:10,990
Engagement Analysis
Based on 3,202 tweetsThe account maintains high engagement with an average of 7,705 likes and 669 retweets per tweet. Its content resonates with followers who value scientific plausibility and forward-thinking narratives.
84.3
Avg Likes/Tweet
28.6
Avg Retweets/Tweet
269,980
Total Likes
91,442
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
3
Median Retweets
22
75th Percentile
18,142
Top Tweet
1.26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
51.1%
Original
21.4%
Replies
22.7%
Retweets
4.8%
Quotes
0.0%
Threads
0.2%
With Media
87.3%
With Links
24.8%
With #Tags
61.1%
With @Mentions
5.1%
With Emojis
228
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.42
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
93.2%
Weekday Posts
6.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,202 tweetsContent Type Distribution
Content Breakdown
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 726 retweets (23% 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 3,202 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 10,990 followersThe audience includes individuals interested in technology, risk mitigation, and future studies. They are likely engaged in discussions around AI, space exploration, and ethical considerations in innovation.
Average
Audience Quality
22.8%
Suspicion Index
22.2%
Low-Quality %
79
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.9%
Empty Bio
19.4%
<10 Tweets
21.3%
Mass Following (>2K)
0.0%
New (<90 days)
46.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.4%
No URL
12.5%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
32,113,487
Total Potential Reach
79
Median Follower Reach
336
75th Percentile Reach
11.6%
>1K followers
1.9%
>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).
59.6%
Creators
6,546 accounts
21.1%
Consumers
2,317 accounts
19.4%
Dormant
2,127 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):
442
Verified Followers
4.02% of total
1,147
Protected Accounts
10.43% 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 | 14,097,086 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Ricamconsult | 1,510,549 | Economista | Economia, Humor, Influência |
| @rosana | 700,342 | Writer | Escritora, Física, Jornalista |
| @RVCJ_FB | 658,121 | Media | Entertainment, Humor, Viral |
| @vkhosla | 585,176 | Entrepreneur | entrepreneurship, technology, sustainability |
| @Scobleizer | 457,910 | Music Producer | Music, Metaverse, Dolby Atmos |
| @Laura_Ch | 369,849 | Politician | Politics, Education, Diplomacy |
| @RodrigoHerreraA | 343,071 | Entrepreneur | Entrepreneurship, Shark Tank, Business |
| @Rajeev_GoI | 319,306 | - | - |
| @peoplesearches | 319,238 | Investigator | MissingPersons, LawEnforcement, Trafficking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,486
Followers With Bio
3,512
Followers Without Bio
68.07%
% With Bio
31.93%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,202 analyzed57,134
Combined Engagement
42,110
Total Likes
15,024
Total Retweets
11,427
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
'We're not trying to push utopia. We're trying to show futures that are not dystopian, so people have something to work toward.' Anna Yelizarova on one of the goals behind @FLIxrisk's Worldbuilding Contest, in this new @IEEESpectrum piece by @newsbeagle: https://t.co/QLlt9fzmPN
RT @elonmusk: Nothing will affect the future of humanity more than digital super-intelligence. Watch Chris Paine’s new AI movie for free until Sunday night at https://t.co/WehHcZX7Qe
World builds need to be plausible: That is, they must be consistent with known science and take into account the likely developments of our world. In this particular case, they must also feature artificial general intelligence (AGI). (2/3) [image by barrow_motion] https://t.co/d
Good to see Space Film & VFX (@wearespace_vfx) getting the recognition they deserve for 'Slaughterbots - if human: kill()'. It's a thrilling film, with a vital message: it's time to #BanSlaughterbots https://t.co/qFh4e8z6Yi
In 2017, our short film Slaughterbots warned the world of what was coming. Its sequel lets the world know the time has come to #BanSlaughterbots. https://t.co/xysxHv5YpV
Key Insights & Takeaways
The account emphasizes the importance of creating non-dystopian futures that are scientifically plausible. It highlights the role of creative works like 'Slaughterbots' in raising awareness about real-world risks. It encourages a focus on actionable, realistic scenarios rather than utopian ideals.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 89,666
- + 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 @FLIxrisk reveals an well-established Twitter presence with 89,666 followers. The account demonstrates a content-creator strategy, averaging 112.9 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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