メンタリストDaiGo

メンタリストDaiGo

@Mentalist_DaiGo

独断と偏見と科学的根拠を基に率直鋭利な発言多数、閲覧は自己責任で。知識のネトフリ【Dラボ】➡︎ https://daigovideolab.jp/?utm_source=tw… | 🎧無料本➡︎http://www.amazon.com 全投稿にPR含有

知識のNetflix【Dラボ】こちら⬇️ https://daigovideolab.jp/?utm_source=twitter&utm_medium=social&utm_campaign=official Joined 2010-05-18 Date of Analysis: Dec 16, 2025

689,091

Followers

675

Following

9,339

Tweets

923.5

Avg Engagement

3,359

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Mentalist_DaiGo'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:2010-05-18
  • Verification:No
  • Location:知識のNetflix【Dラボ】こちら⬇️

Data Summary

  • Tweets Analyzed:3,249
  • Avg Likes per Tweet:737.7
  • Avg Retweets per Tweet:185.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,249 tweets

His tweets receive a high number of likes and retweets, indicating strong audience interaction. The inclusion of promotional links suggests a strategy to maintain engagement and drive traffic.

737.7

Avg Likes/Tweet

185.8

Avg Retweets/Tweet

2,396,848

Total Likes

603,575

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

294

Median Likes

26

Median Retweets

731

75th Percentile

60,323

Top Tweet

1.34

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

74.3%

Original

13.2%

Replies

3.3%

Retweets

9.2%

Quotes

0.0%

Threads

0.0%

With Media

73.8%

With Links

8.6%

With #Tags

12.7%

With @Mentions

9.3%

With Emojis

82

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.18

Reply/Original Ratio

2.82

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

73.2%

Weekday Posts

26.8%

Weekend Posts

Top Hashtags

#clubhouse (141) #daigoオススメ (50) #アベプラ (12) #オススメ (11) #おしゃべりdaigoメーカー (8) #1 (7) #2 (5) #心理学 (5) #7 (4) #yahooニュース (4)

Most Mentioned

@ryogomatsumaru (74) @hirox246 (46) @k_matsumaru (28) @fukunagakatsuya (27) @joinclubhouse (24) @youtubeより (21) @hiroyukanai (11) @coefont (11) @matsru05 (11) @kensan_nippon (10)

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Content Strategy Analysis

Based on 3,249 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,415 (74%)
Replies 429 (13%)
Retweets 106 (3%)
Quote Tweets 299 (9%)

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 106 retweets (3% 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 3,249 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 50,000 followers

His followers are likely interested in personal development, social commentary, and critical thinking. They are also drawn to his candid and sometimes controversial take on current events.

Average

Audience Quality

23.9%

Suspicion Index

34.2%

Low-Quality %

13

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

43.0%

Empty Bio

34.7%

<10 Tweets

4.4%

Mass Following (>2K)

0.0%

New (<90 days)

46.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

89.4%

No URL

25.4%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

30,707,648

Total Potential Reach

13

Median Follower Reach

84

75th Percentile Reach

3.8%

>1K followers

0.4%

>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).

42.5%

Creators

21,272 accounts

22.8%

Consumers

11,394 accounts

34.7%

Dormant

17,334 accounts

352

Verified Followers

0.7% of total

0.4%

Professional Bios

founder, dev, analyst, etc.

0.12

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):

日本 (1,582) Japan (497) 日本 東京 (407) 東京 (224) Tokyo-to, Japan (156) 東京都 (124) 日本 大阪 (108) 大阪 (103) Tokyo (93) 神奈川県 (69)

546

Verified Followers

0.54% of total

19,682

Protected Accounts

19.49% 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
@uni_mafumafu 2,169,377 Singer music, sleep, events
@enako_cos 2,044,375 Cosplayer 田村ゆかり, FPS, 音ゲー
@kinnpatuhikaru 1,969,924 YouTuber business, YouTube, fashion
@DJShacho_Foxx 1,824,284 DJ Music, DJing, Japan
@misakism13 1,554,316 Entrepreneur Entrepreneurship, Green juice, Instagram
@Kana_Momonogi 1,393,879 Adult Film Actress ramen, shaved ice, adult industry
@SeikinTV 1,258,714 YouTuber Music, YouTube, Songwriting
@hate_1207 999,368 Beauty Influencer beauty, YouTube, TikTok
@YoshikiOfficial 948,641 Musician Music, Art, Fashion
@aNo2mass 810,527 Entertainer Anime, Comedy, Official

Top Keywords in Follower Bios

twitter (1,000) youtube (923) dm (883) web (576) love (299) apex (292) rt (277) nft (274) fx (264) instagram (237)

Top Hashtags in Follower Bios

#フ (167) #ハ (155) #ホ (111) #フォロハ (93) #ト (68) #相互フォロー (66) #タ (65) #テ (63) #ケ (60) #ヒ (59)

60,121

Followers With Bio

40,878

Followers Without Bio

59.53%

% With Bio

40.47%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,249 analyzed

239,966

Combined Engagement

162,656

Total Likes

77,310

Total Retweets

47,993

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

20%

With @Mentions

0%

With Links

Topical Analysis:

Personal Development Social Commentary Critical Thinking Public Figures Self-Improvement Controversy
メンタリストDaiGo
@Mentalist_DaiGo

RT @FIJ_factcheck: 【注意喚起】 安倍元首相銃撃事件に絡み、誤情報・偽情報が出回る恐れがあります。家族や友人から回ってきた情報、インフルエンサーが拡散している情報などでも、それを再拡散する前に、正しい情報か立ち止まって確認するようにしてください。

2022-07-08
Retweets: 60,323 Likes: 0 Engagement: 60,323
メンタリストDaiGo
@Mentalist_DaiGo

誹謗中傷してる暇があるなら、自分を磨いて成功したらいい。 つまるところ、誹謗中傷するような奴らは、自分の惨めな現実から目を背けたいだけなわけだ。 まあ、そんな奴らが自分を磨いたところで、光るかどうかは知らんがね。

2020-07-20
Retweets: 6,659 Likes: 45,981 Engagement: 52,640
メンタリストDaiGo
@Mentalist_DaiGo

安倍元総理が亡くなられたとのNHK速報を見ました。 ただの大学院生の頃に、TVに出始めたばかりの僕を 桜の会に呼んでいただいた時の気さくな笑顔が今でも記憶に残っています。 心よりご冥福をお祈りします。

2022-07-08
Retweets: 1,457 Likes: 45,458 Engagement: 46,915
メンタリストDaiGo
@Mentalist_DaiGo

スシローもう行けないとか言う薄情な人たちには驚きだ。 むしろスシローは被害者であり、今までスシローのおかげでうまい寿司を安価で食べてきた人たちは、今こそスシローを支えるべき時。 スシローが潰れて、安価に寿司が食えなくなって困るのはあなたですよと言いたい。 #スシローを救いたい

2023-02-02
Retweets: 3,560 Likes: 40,271 Engagement: 43,831
メンタリストDaiGo
@Mentalist_DaiGo

誹謗中傷で追い詰めると、謝ってくるアンチがいるけど【仕事でストレス溜まってた会社員】とか【むしゃくしゃしてた主婦】が多い。 悪いけど、容赦しないよ? 他人の人生を潰そうとしたんだ。 同じく、あなたの人生を潰すまでやりますよ僕は? 示談などない。自分の軽率さを悔やむがいい。

2020-07-24
Retweets: 5,311 Likes: 30,946 Engagement: 36,257

Key Insights & Takeaways

He often challenges his audience to reflect on their own behavior and motivations. He uses personal anecdotes to make broader social and political points. He blends entertainment with educational content, making complex ideas accessible.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 689,091
  • + 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 @Mentalist_DaiGo reveals an well-established Twitter presence with 689,091 followers. The account demonstrates a content-creator strategy, averaging 923.5 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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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: Dec 16, 2025