立花孝志 NHKをぶっ壊すＴＶ
NHKと契約不要！ 受信料支払い義務が無くなるテレビ【チューナレステレビ】通称NHKをぶっ壊すテレビを販売中 株式会社立花孝志社長！
246,715
Followers
26,665
Following
55,907
Tweets
999.1
Avg Engagement
1,779
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tachibanat'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:2009-12-07
- Verification:No
- Location:東京 港区 六本木
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:847.4
- Avg Retweets per Tweet:151.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweetsThe account has a high average number of likes and retweets, indicating strong engagement with its content. The top tweets highlight political victories and financial support for NHK victims, which likely drive interaction.
847.4
Avg Likes/Tweet
151.7
Avg Retweets/Tweet
2,748,971
Total Likes
492,244
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
462
Median Likes
81
Median Retweets
1,180
75th Percentile
43,813
Top Tweet
4.05
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
50.5%
Original
28.7%
Replies
7.2%
Retweets
13.7%
Quotes
0.0%
Threads
0.0%
With Media
64.4%
With Links
12.3%
With #Tags
53.4%
With @Mentions
6.0%
With Emojis
85
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.57
Reply/Original Ratio
1.91
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.8%
Weekday Posts
32.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 232 retweets (7% 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 3,244 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 followersThe primary audience appears to be individuals who are opposed to NHK and interested in alternative television services. They may also include supporters of the NHK Party and those affected by NHK-related legal issues.
Average
Audience Quality
21.3%
Suspicion Index
33.8%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.8%
Empty Bio
30.0%
<10 Tweets
3.9%
Mass Following (>2K)
0.0%
New (<90 days)
37.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.2%
No URL
20.8%
<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.
14,181,090
Total Potential Reach
18
Median Follower Reach
98
75th Percentile Reach
4.1%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
48.2%
Creators
24,105 accounts
21.8%
Consumers
10,887 accounts
30.0%
Dormant
15,008 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):
533
Verified Followers
0.53% of total
14,641
Protected Accounts
14.5% of total
5 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 |
|---|---|---|---|
| @kinnpatuhikaru | 1,967,041 | YouTuber | business, YouTube, fashion |
| @DJShacho_Foxx | 1,821,819 | DJ | Music, DJing, Japan |
| @AliceProject_mb | 343,799 | Idol | Music, Idol, Performance |
| @ChibaNyan_Music | 301,456 | Music Producer | MUSIC, DJ, ANIME |
| @fitter1107 | 198,548 | Parenting | Parenting, Work, Fitness |
| @aki_web3 | 193,528 | Entrepreneur | cryptocurrency, NFT, events |
| @yoraaai | 189,235 | YouTuber | fishing, gaming, vlogging |
| @yukosama_ | 184,783 | Cosplayer | Cosplay, Gravure, Photography |
| @sengen777 | 182,335 | Artist | Anime, Gaming, Cosplay |
| @inamorimiyuu | 168,100 | Swimmer | swimming, voice acting, actress |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,676
Followers With Bio
44,297
Followers Without Bio
56.13%
% With Bio
43.87%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,244 analyzed163,262
Combined Engagement
140,853
Total Likes
22,409
Total Retweets
32,652
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
NHK党 大勝利！ 選挙区で2%超えました。 比例でガーシー当選しました。 これで、国政政党継続で、NHK被害者や生活保護保護の方、年金生活者の暮らしを守り続けるのが出来ます！ 皆さんの勝利です！ ありがとうございました😊
参議院選挙ではたくさんのみなさんにＮＨＫ党の候補者やＮＨＫ党に投票して頂き本当にありがとうございました。 おかげさまで、 政党助成金が年間約３．３億円×６年もらえる事になりました。 ＮＨＫから裁判された方はこのお金を使って、裁判費用とＮＨＫ受信料を全額ＮＨＫ党が負担いたします。
こういう冗談はもうやめよう！ 私も気をつけます！ https://t.co/9Jft9TKKMI
この動画最後のオチが面白すぎる https://t.co/iYUmQJeaca
おかげさまで、開票はまだ終わっていませんが、 選挙区でも比例区でも、 １１０万票【２％】超えましたので、あと３年間は公職選挙法上の政党でいれます。 これで政党助成金を使って、ＮＨＫからの被害者をお守りする事が継続できます。 ＮＨＫ党に投票して頂いたみなさんに感謝です。
Key Insights & Takeaways
The account is heavily focused on political activism and promoting NHK-free alternatives. It leverages political success to attract support and funding for NHK-related legal cases. The use of multimedia content, such as videos, helps to engage followers and deliver a strong message.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 246,715
- + 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 @tachibanat reveals an well-established Twitter presence with 246,715 followers. The account demonstrates a content-creator strategy, averaging 999.1 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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