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William Long engagement report

@williamlong - 373K followers on X

Measured over 43 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.017%
of 373K followers
Per impression
0.424%
15K views on a typical post
Reach
4.11%
of its followers see a post
Typical post
65
interactions (median)
Saved
0.065%
10 bookmarks on a typical post
Posting rate
1.83/day
active 23% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 65 interactions against 373K followers, an engagement rate of 0.017%. Measured over 43 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 15K times each, and 0.424% of those impressions turn into an interaction. That is about 4.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 43 posts sampled, 33% carry an image or video and 21% are part of a thread. The account's strongest tracked post pulled 678 interactions, about 10x its own typical post.

Measured over 43 original posts from a 30-day window, last computed on September 1, 2026. Recurring tag: #知乎问答.

Compared with accounts its own size

William Long'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 27% 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%, William Long 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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video33% of posts+111%+108% to +115%34K
Outbound link5% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 33% 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.
  • 5% 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

  • 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
  • Aug 28, 20266.6x 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
  • Aug 26, 20265.5x their median

    #知乎问答 问:如何评价以色列总理内塔尼亚胡? 答:介绍一下,中东扫黑组组长、嘴炮终结者本雅明·内塔尼亚胡! 10月1日,普京谴责以色列杀害主权国家领导人是公然践踏联合国宪章。 10月2日,普京勒令以色列立即从黎巴嫩撤军。 10月3日,普京宣称支持伊朗报复以色列。 10月3日晚,以色列摧毁俄罗斯的赫梅米姆军事基地。 10月4日凌晨,以色列空袭俄罗斯的巴尔米拉空军基地。 10月8日,以色列防空系统运抵乌克兰。 普京终于闭嘴了。

    3182017033K viewsView on X
  • Aug 26, 20265.3x their median

    8月26日,奥运冠军刘翔向网友征求意见,“在线等,碰到个难题:希望广大网友给我点意见。体育局让我买断或当教练上班,我该怎么办? ” 刘翔在上海市体育局工作,但并不属于上海市体育局体制内的工作人员。刘翔的职位是上海市体育局团委副书记,上海市体育局解释,刘翔并不是公务员,也没有行政级别。 https://t.co/vSUlgF6Z2V

    2621562370K viewsView on X
  • Aug 29, 20263.8x their median

    我觉得,在中国这样一个道德水准不高的社会里,应该根据关系的亲疏远近,采取不同的道德观:对家人等采用义务论(不进行功利计算,对家人永远说真话,永远信任和尊重家人)。对普通朋友、同事采用功利主义(讲究公平、效率和整体福利,互惠互利)。对陌生人和敌人采用理性利己主义(重在保护自己)。

    2052715323K viewsView on X
  • Aug 28, 20263.6x their median

    孙宇晨2018年就被边控了,肯定不能去北京,去了就相当于自首。

    193340073K viewsView on X
  • Aug 27, 20263.5x their median

    怎么用简单的方法判断一个人是不是真的爱你?我觉得,关键就看这个人愿不愿意为了你牺牲自己的利益。一个很典型的例子,就是欧·亨利那篇经典短篇小说《麦琪的礼物》。

    1821230223K viewsView on X
  • Aug 29, 20263.3x their median

    景甜这个人最大的问题是没脑子,稍微有点智商的话,应该很容易看清楚,和自己交往的人是否有道德底线,没有道德底线的人,躲都躲不及,还和这种人谈婚论嫁,只能说脑子坏了。我觉得,对家人坚守康德义务论的人,才值得信任。

    155747431K viewsView on X
  • Aug 29, 20263.2x their median

    我看西藏吉隆口岸泥石流灾后的照片,感觉失踪的人能有一个人幸存,都算是奇迹。

    174431064K viewsView on X
  • Aug 30, 20262.9x their median

    我觉得,判断一个人是否值得信任的简单方法,1、观察他对待弱者(下属、司机、外卖员、服务员、保洁员等)的态度,懂得尊重弱者的人,通常比较可信。2、观察他在利益受损时候的应对,一个人真正的底色,往往在利益受损的时候才能暴露出来,损失发生后还能守住道德底线的人,通常比较可信。

    1561814216K 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 65 interactions against 373K followers, an engagement rate of 0.017%. Measured over 43 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 15K times each, and 0.424% of those impressions turn into an interaction. That is about 4.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 43 posts sampled, 33% carry an image or video and 21% are part of a thread. The account's strongest tracked post pulled 678 interactions, about 10x its own typical post.

What is William Long's engagement rate on X?
William Long (@williamlong) has an engagement rate of 0.017%, based on the median interactions across 43 original posts from the last 30 days against 373,092 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.017%, William Long 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 @williamlong 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 @williamlong post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 1.83 posts per day across the measured window.

Keep going

William Long (@williamlong) Engagement Rate - 0.017% | PlayerSells