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精神科医・樺沢紫苑 engagement report

@kabasawa - 275K followers on X

Measured over 24 original posts from a 30-day window, last computed on September 7, 2026.

Engagement

Middle of its size range
Per follower
0.066%
of 275K followers
Per impression
1.03%
18K views on a typical post
Reach
6.44%
of its followers see a post
Typical post
182
interactions (median)
Saved
0.223%
40 bookmarks on a typical post
Posting rate
1.2/day
active 27% of days
Peak time
02:00 UTC
Sunday

A typical post picks up 182 interactions against 275K followers, an engagement rate of 0.066%. Measured over 24 original posts, its engagement rate beats 54% 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 18K times each, and 1.03% of those impressions turn into an interaction. That is about 6.44% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 02:00 UTC, and Sunday is the busiest day of the week. Of the 24 posts sampled, 38% carry an image or video and 63% link out. The account's strongest tracked post pulled 7.6K interactions, about 42x its own typical post.

Measured over 24 original posts from a 30-day window, last computed on September 7, 2026.

Compared with accounts its own size

精神科医・樺沢紫苑's engagement rate beats 54% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 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 47% 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 0.066%, 精神科医・樺沢紫苑 sits above the 25th percentile of the 66,128 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%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile119.9%

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 02:00 UTC, and Sunday 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video38% of posts+111%+108% to +115%34K
Outbound link63% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 38% 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.
  • 63% 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 302 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Sep 6, 202642x their median

    A single workout reduces overthinking. You don’t have to think your way out of the loop when you can move out of it. https://t.co/KPBHGv66mJ

    6.6K8566171424K viewsView on X
  • Aug 23, 20265.6x their median

    出社するよりも完全リモートワークの方が幸福度が高いという研究結果 https://t.co/R6zdUamFQD

    7781632062118K viewsView on X
  • Sep 5, 20262.8x their median

    The Greatest Sci-Fi TV Shows of All Time. 👽🍿🔥 1. The X-Files ⭐️ 9.0/10 2. Black Mirror ⭐️ 8.7/10 3. Battlestar Galactica ⭐️ 8.7/10 4. Dark ⭐️ 8.7/10 5. Star Trek: The Next Generation ⭐️ 8.7/10 6. The Expanse ⭐️ 8.5/10 7. Fringe ⭐️ 8.4/10 8. Westworld ⭐️ 8.5/10 9. Doctor Who ⭐️ 8.5/10 10. Lost ⭐️ 8.3/10 11. Stranger Things ⭐️ 8.6/10 12. The Twilight Zone ⭐️ 9.0/10 13. Stargate SG-1 ⭐️ 8.4/10 14. Orphan Black ⭐️ 8.3/10 15. Silo ⭐️ 8.1/10 16. The 100 ⭐️ 7.5/10 17. 12 Monkeys ⭐️ 7.7/10 18. Raised by Wolves ⭐️ 7.4/10 19. Altered Carbon ⭐️ 7.9/10 20. The OA ⭐️ 7.8/10

    4196520542K viewsView on X
  • Sep 5, 20262.1x their median

    クリストファー・ノーラン監督の 『オデュッセイア』をIMAX先行上映で観賞。 凄い! 凄い! 凄い! 現代に、こんなド迫力の史劇スペクタクル を作れたものだ!! 『インセプション』『TENET テネット』の ような斬新で見たこともないオリジナル脚本 にこだわってきたノーラン監督。 なぜ彼が今回、古代ギリシャの詩人ホメロスの 西洋最古の不朽の冒険叙事詩を題材にしたのか? 欧米人にとって、もっとも有名な物語の1つ なわけです。 映画を見る前は、「その理由」が 非常に気になっていたわけですが、 映画を見れば、すぐに解決しました。 ハリウッド全盛時代の史劇スペクタクルの再現。 いや「再現」ではなく「革新」。 全編IMAXフィルムカメラを使った撮影。 巨大なトロイアの街のセットを作り 2千人のエキストラを動員。 そして最小限のCG使用で、 とんでもない映像を作り上げました。 この映画を見て、大学生のとき 『ベン・ハー』を劇場の大画面で見た時の 感動を思い出したのです。 よくこんな映画を作れた物だ!! 史劇スペクタクルにどハマりした私は、 当時、相次いでリバイバル上映されていた 『十戒』『クレオパトラ』『スパルタカス』 などの史劇スペクタクルをむさぼるように 見たものです。 ハリウッドの黄金時代に作られた これらの作品は、 実物大の巨大なセットで 数千人~1万人ものエキストラを動員し 巨額の予算をかけて製作されていました。 現代では、当時の規模感での製作は不可能。 というのが、映画界の常識。 その不可能を「可能」にしたのが、 『オデュッセイア』です。 だから、凄い! のです。 最近では、CG、VFX技術も進歩して、 数万人の合戦も映画化されていますが、 CGでは迫力が出ないのです。 映画ファンであれば、昔のような、 ド迫力の史劇スペクタクルを見たい! 数千人規模の本物のモブ(群衆)シーンを見たい! という願望を持っていたはず。 そして、ノーラン監督も、 映画製作者として、 現代の最新技術を使い、 それでいて極力CGは使わずに、 リアルなセットで数千人のモブシーン を撮りたい! と思っていたのでしょう。 本作を見ると『ダンケルク』は、 『オデュッセイア』のための予行演習 にしか思えない。 インタビューには「20年越しの念願」 という言葉もありました。 父と子の物語なので、心理学的にも いろいろと言いたいのですが、 まだ映画公開前なので、 今回は、ストーリーについては触れません。 映画ファンとして、 この映画史に残る巨大な作品を IMAXで体験できたことが、 幸せでなりません。 音響が凄いので、 絶対にIMAXシアターで 本作を体験して欲しいです。 拙著『知性大全』では、 「AI時代は五感を使った"体験"が重要」 と書きましたが、 視覚、聴覚、そして大地を揺さぶる 振動覚は、 IMAXでなくては体験できないでしょう。

    343247334K viewsView on X
  • Sep 6, 20261.7x their median

    https://t.co/KneY3gbLvh

    276221630K viewsView on X
  • Sep 4, 20261.7x their median

    音読は全部するのではなく、覚えたいところだけした方がいい 単語の一部だけを音読した記憶実験では、後で正しく見分けられた割合は ・音読76% ・黙読60% 面白いのは、すべての単語を音読した人と、すべて黙読した人では明確な差がなかったこと。 これは、声に出した部分だけが目立ち、記憶に残りやすくなる「産出効果」と呼ばれる。 覚えたい部分を絞って音読するのがポイント

    255411522K viewsView on X
  • Sep 6, 20261.6x their median

    Los niños que comen más alimentos ultraprocesados tienden a tener menor cociente intelectual. Es posible que una mala dieta perjudique el desarrollo cerebral, lo que podría explicar una pequeña parte de ese descenso del IQ, pero, dada la alta heredabilidad genética del IQ, es muy probable que gran parte de la correlación se deba a que los padres y madres con menor IQ tiendan a darles más ultraprocesados a sus hijos, a la vez que les transmiten los genes que favorecen un menor IQ. Estos estudios no suelen controlar por la inteligencia de los progenitores, sino por educación y otros proxies imperfectos. En parte también puede deberse a que un alto consumo de ultraprocesados tiende a ir acompañado de otros malos hábitos que perjudican al cerebro, como la escasez de actividad física.

    2364777101K viewsView on X
  • Sep 4, 20261.6x their median

    https://t.co/RhGtMCBaIM

    244392518K viewsView on X
  • Sep 5, 2026

    https://t.co/hYbOyghCm3

    181221517K viewsView on X
  • Sep 4, 2026

    栄養バランスの良い食事をとりなさい。 言葉で言うのは簡単ですが、 実際にそれを続けていくのは、至難の業です。 そこで、不足がちな栄養素を、サプリメントではなく、 「飲み物」から補充するのがお勧めです。 樺沢が実際に、日常生活でほぼ毎日飲んでい 健康に良い「飲み物」について、 動画で詳しく説明しました。 健康になりたいなら「飲み物」を見直しなさい 【精神科医・樺沢紫苑】 https://t.co/znMMkM2W1H

    178252318K 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 182 interactions against 275K followers, an engagement rate of 0.066%. Measured over 24 original posts, its engagement rate beats 54% 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 18K times each, and 1.03% of those impressions turn into an interaction. That is about 6.44% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 02:00 UTC, and Sunday is the busiest day of the week. Of the 24 posts sampled, 38% carry an image or video and 63% link out. The account's strongest tracked post pulled 7.6K interactions, about 42x its own typical post.

What is 精神科医・樺沢紫苑's engagement rate on X?
精神科医・樺沢紫苑 (@kabasawa) has an engagement rate of 0.066%, based on the median interactions across 24 original posts from the last 30 days against 274,993 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.066%, 精神科医・樺沢紫苑 sits above the 25th percentile of the 66,128 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 @kabasawa have real engagement?
Its engagement rate beats 54% 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 @kabasawa post?
Most posts go out around 02:00 UTC, and Sunday is its busiest day, at roughly 1.2 posts per day across the measured window.

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