Weiping Qin 秦偉平
Economist, Columnist, Veteran, Weiping Show Host, Author of “China’s Crisis Roadmap” & “Exodus from the Crisis of China” 經濟學者/專欄作家/退伍軍人/平論主持人/中國危機三部曲作者
71,746
Followers
3,735
Following
33,660
Tweets
54.5
Avg Engagement
275
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @WeipingQin'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:2013-04-30
- Verification:No
- Location:Washington, DC
Data Summary
- Tweets Analyzed:3,210
- Avg Likes per Tweet:17.7
- Avg Retweets per Tweet:36.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,210 tweetsHis tweets receive an average of 1,120 likes and 73 retweets, indicating a moderate level of engagement. The content often includes personal stories and reflections, which may contribute to the engagement.
17.7
Avg Likes/Tweet
36.8
Avg Retweets/Tweet
56,862
Total Likes
118,209
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
18
75th Percentile
33,825
Top Tweet
0.76
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
43.1%
Original
44.1%
Replies
5.6%
Retweets
7.1%
Quotes
0.0%
Threads
0.0%
With Media
50.2%
With Links
11.0%
With #Tags
53.7%
With @Mentions
21.7%
With Emojis
66
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.02
Reply/Original Ratio
1.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,210 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 181 retweets (6% 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 3,210 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 10,000 followersHis audience likely includes individuals interested in economics, politics, and social issues in China. They may also be readers of his books and followers of his column.
Average
Audience Quality
32.1%
Suspicion Index
42.2%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.6%
Empty Bio
39.8%
<10 Tweets
11.2%
Mass Following (>2K)
0.0%
New (<90 days)
66.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.9%
No URL
28.8%
<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.
6,427,079
Total Potential Reach
29
Median Follower Reach
84
75th Percentile Reach
2.5%
>1K followers
0.5%
>10K followers
0.1%
>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).
36.8%
Creators
3,676 accounts
23.5%
Consumers
2,346 accounts
39.8%
Dormant
3,978 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):
50
Verified Followers
0.5% of total
1,369
Protected Accounts
13.69% of total
4 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 |
|---|---|---|---|
| @moonriver365 | 2,172,589 | Politician | politics, leadership, nation-building |
| @MattWallace888 | 1,105,162 | YouTuber | Crypto, Dogecoin, YouTube |
| @MarioNawfal | 487,342 | - | - |
| @Hornypanda6 | 171,819 | Dancer | Dance, Gaming, Naughty |
| @wangqingpeng1 | 110,462 | Activist | activism, human rights, democracy |
| @xiaojingcanxue | 107,043 | - | - |
| @zhangmanman555 | 53,815 | Influencer | Chinese poetry, Beautiful characters, Life |
| @Sunrun | 51,664 | Solar Energy | solar energy, sustainability, clean power |
| @Atlantis_Ex | 51,055 | - | - |
| @kuku1800 | 43,327 | Fishing | Fashion, Travel, Food |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,439
Followers With Bio
5,561
Followers Without Bio
44.39%
% With Bio
55.61%
% 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 3,210 analyzed61,118
Combined Engagement
0
Total Likes
61,118
Total Retweets
12,224
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @SpeakerPelosi: Our delegation’s visit to Taiwan honors America’s unwavering commitment to supporting Taiwan’s vibrant Democracy. Our discussions with Taiwan leadership reaffirm our support for our partner & promote our shared interests, including advancing a free & o
RT @whyyoutouzhele: 上海乌鲁木齐路 民众高喊 共产党 下台！ 这是迄今为止最为激进的口号。 https://t.co/ijP7lxnIgH
RT @whyyoutouzhele: 致所有正在找我和准备找我的公职人员 https://t.co/CuvkoIWCgh
RT @MOFA_Taiwan: Welcome to #Taiwan, @SpeakerPelosi! Thank you & the congressional delegation for traveling all the way to show your support. JW https://t.co/Al97hB68aa
RT @whyyoutouzhele: 上海，乌鲁木齐路与安福路路口 一男子举着花演讲，随后被警察逮捕 几个居民上前阻止 https://t.co/yWqR8F4Fn4
Key Insights & Takeaways
His tweets often blend personal anecdotes with broader societal observations, providing a unique perspective on China's development. He frequently shares stories that highlight the human side of economic and social changes in China. His content is often reflective and introspective, which may resonate with a thoughtful audience.
Strengths
- + Established follower base of 71,746
- + 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 @WeipingQin reveals an growing Twitter presence with 71,746 followers. The account demonstrates a conversation-first approach, averaging 54.5 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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