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Morris engagement report

@Morris_LT - 240K followers on X

Measured over 42 original posts from a 30-day window, last computed on September 10, 2026.

Engagement

Middle of its size range
Per follower
0.062%
of 240K followers
Per impression
1.39%
11K views on a typical post
Reach
4.48%
of its followers see a post
Typical post
150
interactions (median)
Saved
0.297%
32 bookmarks on a typical post
Posting rate
1.5/day
active 13% of days
Peak time
01:00 UTC
Wednesday

A typical post picks up 150 interactions against 240K followers, an engagement rate of 0.062%. Measured over 42 original posts, its engagement rate beats 42% 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 11K times each, and 1.39% of those impressions turn into an interaction. That is about 4.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 01:00 UTC, and Wednesday is the busiest day of the week. Of the 42 posts sampled, 10% carry an image or video. The account's strongest tracked post pulled 814 interactions, about 5.4x its own typical post.

Measured over 42 original posts from a 30-day window, last computed on September 10, 2026.

Compared with accounts its own size

Morris's engagement rate beats 42% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 6 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 52% 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 0.062%, Morris 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 01:00 UTC, and Wednesday 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 link2% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 2% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 129 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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

  • Sep 9, 20265.4x their median

    你之所以普通,是因为无法把一件大概率正确的事持续做足够久。

    6978029840K viewsView on X
  • Sep 8, 20265.2x their median

    你知道吗?一块蛋糕带来的快乐只有17秒,而许多成瘾、肥胖、代谢失控,甚至认知衰退,往往都从这种廉价、即时、可重复的奖励开始。

    6655455637K viewsView on X
  • Sep 9, 20265.0x their median

    人生和交易几乎一模一样:不断经历失控、回撤与崩溃,又不断校准、修复与重建。真正重要的从来不是永不崩溃,而是在一次次崩溃之后,依然有能力把自己重新拉回平衡。

    6016970329K viewsView on X
  • Sep 8, 20264.4x their median

    有一种人,长期沉浸在受害者叙事里,见人就诉苦,反复强调自己多么命苦、多么不容易。也许他的苦都是真的,但真正需要警惕的,从来不是一个人经历过多少苦难,而是他如何处理自己的苦难:有的人经历苦难以后变得独立、克制,更能理解别人;有的人却把苦难变成一种道德债权,因为我很惨,所以你应该理解我、帮助我、迁就我。你同情他一次,他会期待第二次;你帮助他十次,第十一次就可能变成你的义务;当一个人习惯用自己的不幸向世界索取,他得到的帮助越多,边界反而越容易消失,最后甚至会因为你没有继续满足他而怨恨你。所以,不要因为一个人很惨,就自动判断他值得深交。真正判断一个人,要看他是在承担自己的命运,还是在拿自己的命运向别人讨债。前者可以帮助,后者最好的方式往往是保持距离。

    5228160426K viewsView on X
  • Sep 8, 20264.2x their median

    你知道吗?在日本,很多工地到了施工转角、车辆出入口,会特意把围墙换成透明的。原因很简单:如果全部封死,行人、骑车的人和司机在转角处就看不见彼此。日本所谓的“工匠精神”,很多时候并不是什么神秘的技术,而是这种很具体的以人为本——不仅考虑工程怎么完成,还会多想一步:施工会不会给路过的人制造新的危险。 而在中国城市里,我们更常见的是一整排彩钢板,从头封到尾。围挡很整齐,标语也很好看,但到了转角,里面看不见外面,外面也看不见里面。更值得思考的是,很多城市的市政工程似乎永远修不完:今天这里围,明天那里挖,一年四季、年复一年。名义上当然都是修路、改造、升级城市,但在一些地方,公共工程同时也承担着财政支出、项目分包、地方资源配置甚至利益分配的功能。 于是两种逻辑的差别就出来了:一种工程首先会问“使用它的人会不会更安全、更方便”;另一种工程很多时候首先要完成的是立项、施工、验收和向上交差。 当一个系统主要对上负责,围墙有没有挡住一个普通人的视线,往往就成了最不重要的那件事。 所以真正值得看的,从来不只是这一块透明塑料板。一个社会到底把普通人的感受放在什么位置,往往就藏在这些没有人专门检查、也不会写进宏大叙事的小细节里。

    5294253444K viewsView on X
  • Sep 9, 20263.6x their median

    赚钱的机会太多了,大家都偷偷的在干~

    2908236297K viewsView on X
  • Sep 8, 20263.5x their median

    人生的低谷,并不是命运在惩罚你,而是因为你有跨过去的能力,这场考验才会落到你身上。

    37928112326K viewsView on X
  • Sep 8, 20262.5x their median

    有时候,你感觉天都塌了,情绪压得你喘不过气,无处释放,甚至觉得这一关过不去了。可等几天再回头看,很多当时以为无法承受的事,不过尔尔。所以,别在情绪最重的时候,替自己的人生下结论。

    3162237116K viewsView on X
  • Sep 8, 20262.4x their median

    如果你经常刷X刷得很暴躁,可以偶尔来我这里看看。这里不负责煽动你的情绪,只希望让你重新变得平静、理性,再去看这个世界。

    2493109019K viewsView on X
  • Sep 10, 20262.4x their median

    其实,绝大都数中国人,没有真正的”朋友“。很多所谓的“朋友”,其实只是客户、合作对象,或者彼此需要利用的人。而真正的”朋友“,是没有利益关系的。因为一旦涉及利益,关系属性就应该切换,契约优先于感情。这也就是所谓的”君子之交淡如水“。

    2943526211K 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 150 interactions against 240K followers, an engagement rate of 0.062%. Measured over 42 original posts, its engagement rate beats 42% 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 11K times each, and 1.39% of those impressions turn into an interaction. That is about 4.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 01:00 UTC, and Wednesday is the busiest day of the week. Of the 42 posts sampled, 10% carry an image or video. The account's strongest tracked post pulled 814 interactions, about 5.4x its own typical post.

What is Morris's engagement rate on X?
Morris (@Morris_LT) has an engagement rate of 0.062%, based on the median interactions across 42 original posts from the last 30 days against 240,380 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.062%, Morris 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 @Morris_LT have real engagement?
Its engagement rate beats 42% 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 @Morris_LT post?
Most posts go out around 01:00 UTC, and Wednesday is its busiest day, at roughly 1.5 posts per day across the measured window.

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