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William Long engagement report

@williamlong - 375K followers on X

Measured over 95 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Middle of its size range
Per follower
0.018%
of 375K followers
Per impression
0.465%
14K views on a typical post
Reach
3.79%
of its followers see a post
Typical post
66
interactions (median)
Saved
0.07%
10 bookmarks on a typical post
Posting rate
3.67/day
active 53% of days
Peak time
02:00 UTC
Saturday

A typical post picks up 66 interactions against 375K followers, an engagement rate of 0.018%. Measured over 95 original posts, its engagement rate beats 42% of 20,444 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 14K times each, and 0.465% of those impressions turn into an interaction. That is about 3.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 02:00 UTC, and Saturday is the busiest day of the week. Of the 95 posts sampled, 45% carry an image or video, 13% are part of a thread and 8% link out. The account's strongest tracked post pulled 2.6K interactions, about 39x its own typical post.

Measured over 95 original posts from a 30-day window, last computed on October 2, 2026. Recurring tag: #知乎问答.

Compared with accounts its own size

William Long's engagement rate beats 42% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 29% 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 0.018%, William Long sits above the 10th percentile of the 204,694 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 Saturday 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video45% of posts+111%+108% to +115%34K
Outbound link8% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 45% 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.
  • 8% 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 163 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 19, 202639x their median

    たのしいピクニック(橋本琴絵版) 写真をもとにAIイラスト化 https://t.co/igmKDkxzQJ

    2.4K84471086K viewsView on X
  • Sep 29, 202617x their median

    #知乎问答 问:为什么网上很多人支持武装统一? 答:我有一个朋友,山河四省的,这个朋友对台北市长的政策,履历那叫一个熟悉,嘲笑攻击蒋万安那叫一个不留情面,台北市民调对蒋万安的不满,随手沾来,什么45%的台北市民不满蒋万安的XXX政策之类的。嘲笑天天在IG上跟台北市民互动的蒋万安就是个花瓶,靠脸上位,反对的民众直接在社媒上留言批判蒋万安,没有个官样;市长在社媒上跟市民直接互动,都是在作秀罢了。特别好奇的问了一句:你们市长叫什么啊?有什么政策吗?他一时语塞,回答不上来。

    999291182143K viewsView on X
  • Oct 2, 202617x their median

    大疆应该是把其所有用户数据都卖出去了,我2019年购买的一个无人机,几年都没飞了,现在警方说要上门登记。

    883291966222K viewsView on X
  • Sep 10, 202610x their median

    中国的白酒实际来源于阿拉伯,当年蒙古人曾经俘虏了大量善于制作蒸馏酒的阿拉伯人,在攻打南宋四川的时候,阿拉伯俘虏教会了四川人蒸馏技术,这时候,宋朝人才学会了24度以上的蒸馏酒技术,所以,时至今日,四川仍被视作中国白酒的故乡。

    433521977118K viewsView on X
  • Sep 30, 202610x their median

    1974年,邓小平在联合国大会上说:“中国现在不是,将来也不做超级大国。如果中国有朝一日变了颜色,变成一个超级大国,也在世界上称王称霸,到处欺负人家,侵略人家,剥削人家,那么,世界人民就应当给中国戴上一顶社会帝国主义的帽子,就应当揭露它,反对它,并且同中国人民一道,打倒它。”

    60124575107K viewsView on X
  • Aug 26, 202610x their median

    一张华为上海旗舰店与公共厕所路牌的合照在网上爆火,随后,该路牌被迅速拆除,目前该公共厕所指示牌已经没了,原来华为真的可以为所欲为。 https://t.co/kdLmzzYncx

    5795141764K viewsView on X
  • Sep 26, 202610x their median

    抗日战争结束之后,如果中国不打内战,国共组成联合政府,发展几年经济,朝鲜战争爆发的时候,将会形成美苏共同拉拢中国的好局面,中国将会替代日本成为联合国军的主要物资供应商,预计在1960年代,中国的经济就会全面超过日本,并在1970年代成为世界第二大经济体,并在1980年代追上美国。

    312143202591K viewsView on X
  • Aug 28, 20266.5x their median

    用腾讯朱雀AI文本检测孙宇晨的《我的女友景甜》,显示人工特性占比96.11%,AI特征3.89%。 https://t.co/4HnUfjrPds

    36810504108K viewsView on X
  • Sep 11, 20265.8x their median

    豆包的客户端实在太强了,可以通过工作任务打开推特,自动抓取推文,自动浏览,自动发帖,这玩意完全不用折腾什么skill,全部自动完成,真是黑科技啊。 https://t.co/m0c7uFwMHI

    25723102377K viewsView on X
  • Sep 8, 20265.5x their median

    【女子称在餐厅被4岁男童摸屁股,男童父母称系孩子跑步时不慎触碰,有关部门调解三次双方仍未和解,女子准备走诉讼流程】近日,来自福建的女孩小熊称,8月26日,在长沙某餐厅内被4岁男孩摸了屁股,还被其父母辱骂,男孩父母表示孩子只是跑步过程中不慎触碰,并非故意。女子要求男童父母书面道歉、承诺会管教好孩子。男童父母要求女子为小孩受伤道歉。事发后,有关部门介入并调解三次,截至目前双方仍未达成和解。目前当事女子准备走诉讼流程。(来源:潇湘晨报、钱江晚报)

    138420711135K 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.

Recurring topics

#知乎问答

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 66 interactions against 375K followers, an engagement rate of 0.018%. Measured over 95 original posts, its engagement rate beats 42% of 20,444 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 14K times each, and 0.465% of those impressions turn into an interaction. That is about 3.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 02:00 UTC, and Saturday is the busiest day of the week. Of the 95 posts sampled, 45% carry an image or video, 13% are part of a thread and 8% link out. The account's strongest tracked post pulled 2.6K interactions, about 39x its own typical post.

What is William Long's engagement rate on X?
William Long (@williamlong) has an engagement rate of 0.018%, based on the median interactions across 95 original posts from the last 30 days against 374,938 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, William Long sits above the 10th percentile of the 204,694 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 @williamlong have real engagement?
Its engagement rate beats 42% of the tracked X accounts closest to it in follower count (20,444 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 @williamlong post?
Most posts go out around 02:00 UTC, and Saturday is its busiest day, at roughly 3.67 posts per day across the measured window.

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