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バフェット太郎 engagement report

@buffett_taro - 363K followers on X

Measured over 29 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Middle of its size range
Per follower
0.017%
of 363K followers
Per impression
0.133%
46K views on a typical post
Reach
12.6%
of its followers see a post
Typical post
61
interactions (median)
Saved
0.004%
2 bookmarks on a typical post
Posting rate
1/day
active 73% of days
Peak time
13:00 UTC
Monday

A typical post picks up 61 interactions against 363K followers, an engagement rate of 0.017%. Measured over 29 original posts, its engagement rate beats 34% of 6,874 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 46K times each, and 0.133% of those impressions turn into an interaction. That is about 12.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 29 posts sampled, 10% carry an image or video and 86% link out. The account's strongest tracked post pulled 2.9K interactions, about 48x its own typical post.

Measured over 29 original posts from a 30-day window, last computed on September 2, 2026.

Compared with accounts its own size

バフェット太郎's engagement rate beats 34% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 9% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.017%, バフェット太郎 sits above the 25th percentile of the 65,980 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.0%
Engagement rate as a share of followers, across the 65,980 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,142 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile120.0%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 13:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video10% of posts+111%+108% to +115%34K
Outbound link86% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 10% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 86% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 69 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% below the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Jul 17, 202648x their median

    いま、キオクシアとかマイクロンとかSOXLとか、割安だと思って買い向かっている個人投資家がうじゃうじゃいるけど、 2000年のドットコムバブル崩壊後に起きたことは個人投資家が底値まで買い続け、疲弊し、そして退場していくという地獄絵図でした。

    2.5K21313571564K viewsView on X
  • Jul 17, 20266.1x their median

    ハイテク・通信を除く「オールドエコノミー株」の相対株価が、15年間続いた下降トレンドを上にブレイクアウトしています。 これは、市場の主役がAIやハイテク一辺倒から、金融やヘルスケア、生活必需品などに幅広く広がり始めた可能性があることを示唆しています。 歴史的に長く続いたトレンドが転換する局面では、新たなトレンドが始まりやすいです。 言い換えれば、「AIだけを買えばよい相場」から「幅広い業種に物色の矛先が向かう相場」へと移行しつつあることを示す、重要なシグナルだと言えます。

    3083228579K viewsView on X
  • May 27, 20265.4x their median

    スペースXのIPOの抽選に参加できるみたい。瞬間的に急騰して、その後からズルズル下がりそうな予感… https://t.co/FA1wR7KrQz

    28111334237K viewsView on X
  • Aug 17, 20265.1x their median

    世界の中央銀行が保有する金の時価総額が、米国債保有額を上回りました。 これは金価格が大きく上昇したほか、世界の中央銀行が地政学リスクや制裁リスクを警戒し、準備資産の分散化を進めているためです。 https://t.co/DFOZQYdTkq

    2742217041K viewsView on X
  • Jul 17, 20264.7x their median

    1987年9月にアップルに10,000ドル投資していたら、15年後の2002年9月には5000ドルになっていました。

    2258476130K viewsView on X
  • Jul 22, 20264.4x their median

    アルファベット(GOOGL)とテスラ(TSLA)はコンセンサス予想を下回る「悪い決算」だったうえ、フリーキャッシュフローもマイナスに転じています。 株価は時間外取引で、それぞれ3~4%ほど下げています。

    2191436272K viewsView on X
  • Aug 10, 20264.0x their median

    米国家計の金融資産に占める株式比率が46%と、ITバブル時の38.7%を大きく上回り、過去最高を更新しています。 これは「すぐ暴落する」という意味ではありませんが、米国家計がこれまで以上に株式市場に振り回されやすくなっていることを示唆しています。 つまり、株高の恩恵が大きい一方で、下落局面では逆資産効果による消費悪化リスクも大きくなりやすい、ということです。

    1991426249K viewsView on X
  • Aug 17, 20263.6x their median

    米国の個人貯蓄率が2.6%と歴史的な低水準を記録しています。これは、インフレによる生活コストの上昇で貯蓄余力が減っていることを示唆しています。 低い貯蓄率の中で雇用が悪化すれば消費は急減します。 https://t.co/ABu1ZL3KZz

    200713139K viewsView on X
  • Aug 7, 20263.3x their median

    【速報】7月雇用統計 <非農業部門雇用者数> 結果:ー2.3万人 予想:+8.5万人 <失業率> 結果:4.1% 予想:4.2% <平均時給(前年比)> 結果:+3.2% 予想:+3.5% <平均時給(前月比)> 結果:+0.1% 予想:+0.3%

    1542124568K viewsView on X
  • Jul 28, 20262.6x their median

    先月、「スペースXへの投資は、16年前にタイムスリップしてテスラをIPO直後に投資するようなもの」だと考え、積極的に買い向かった個人投資家も少なくありませんが、現在、初値(150ドル)から24%安です。 市場でIPO価格の設定が間違っている!との見方が広がれば、アンソロピックのIPO価格にも影響を及ぼしかねません

    139615056K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 61 interactions against 363K followers, an engagement rate of 0.017%. Measured over 29 original posts, its engagement rate beats 34% of 6,874 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 46K times each, and 0.133% of those impressions turn into an interaction. That is about 12.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 29 posts sampled, 10% carry an image or video and 86% link out. The account's strongest tracked post pulled 2.9K interactions, about 48x its own typical post.

What is バフェット太郎's engagement rate on X?
バフェット太郎 (@buffett_taro) has an engagement rate of 0.017%, based on the median interactions across 29 original posts from the last 30 days against 363,142 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.017%, バフェット太郎 sits above the 25th percentile of the 65,980 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @buffett_taro have real engagement?
Its engagement rate beats 34% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @buffett_taro post?
Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 1 posts per day across the measured window.

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