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方舟子 engagement report

@fangshimin - 938K followers on X

Measured over 66 original posts from a 30-day window, last computed on October 18, 2026.

Engagement

Middle of its size range
Per follower
0.005%
of 938K followers
Per impression
0.372%
12K views on a typical post
Reach
1.33%
of its followers see a post
Typical post
46
interactions (median)
Saved
0.02%
2 bookmarks on a typical post
Posting rate
2.37/day
active 17% of days
Peak time
19:00 UTC
Friday

A typical post picks up 46 interactions against 938K followers, an engagement rate of 0.005%. Measured over 66 original posts, its engagement rate beats 25% of 20,182 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 12K times each, and 0.372% of those impressions turn into an interaction. That is about 1.33% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 66 posts sampled, 58% carry an image or video and 8% link out. The account's strongest tracked post pulled 305 interactions, about 6.6x its own typical post.

Measured over 66 original posts from a 30-day window, last computed on October 18, 2026.

Compared with accounts its own size

方舟子's engagement rate beats 25% of the tracked X accounts closest to it in follower count (20,182 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 25% 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 0.005%, 方舟子 sits above the 10th percentile of the 204,491 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 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 19:00 UTC, and Friday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video58% of posts+111%+108% to +115%34K
Outbound link8% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 58% 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 107 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

  • Oct 17, 20266.6x their median

    王虹、邓煜给北大的题词。 https://t.co/CrhqFC7Dld

    26911214254K viewsView on X
  • Oct 16, 20265.0x their median

    袁腾飞到美国没多久就挨了资本主义铁拳,收到巨额医疗账单,开车超速要被罚款,骂美国是辣鸡国家。看来是在“人人持枪他就不乱”的红州享受着全美国最差的医疗保健。 https://t.co/U82ojDMIfC

    1841925078K viewsView on X
  • Oct 16, 20264.4x their median

    袁腾飞移民美国,不会英语,只能在华人圈混(休斯顿?),看华人医生,用微信联系,中国网监可以随时监控他。他给自己生了两个美国儿子,都是为了获得美国国籍特地跑美国生育的,就是属于他主子川普、华人川粉强烈反对、要求入罪的“生育旅游”。 https://t.co/jY46EhtSpa

    1641721292K viewsView on X
  • Aug 24, 20264.2x their median

    我就知道这些丧尽天良做伪科普的又要跳出来,告诉人们泡过甲醛的大白菜可以放心地吃,不要害怕……是不是还要呼吁将甲醛列为合法的食品防腐剂? https://t.co/vNtZMf0m1F

    179140032K viewsView on X
  • Oct 16, 20263.8x their median

    怀俄明大学中国留学生王爱丽由于没能通过论文答辩,嫉妒同实验室的越南留学生,在越南人喝的茶中投入丙烯酰胺。越南人感到茶有异味并出现症状,怀疑茶有问题,学校警察在其实验室装监控,拍下王爱丽窃取越南人实验本并往茶缸放入丙烯酰胺。在警察找王爱丽询问第二天,王爱丽试图回国,在洛杉矶机场被捕 https://t.co/pvW2h6SiFQ

    1361425131K viewsView on X
  • Sep 4, 20263.7x their median

    雄果蝇中枢神经系统的166,700个神经元,1亿2420万个突触,全部被定位,用了20年时间。 https://t.co/Al9bI2htWI

    16270137K viewsView on X
  • Aug 17, 20263.6x their median

    因采访诺兰出名的仲树,被发现她做的播客都是剽窃英文博客,而且是用AI做语音识别、翻译,然后照念,识别不准确产生的翻译错误也照念。她连戴高乐都不知道,一口一个“戴高尔”。 https://t.co/tmzyvLnKjL

    141230233K viewsView on X
  • Aug 18, 20263.4x their median

    由白宫副幕僚长米勒领导,川普当局将采取措施大力减少合法移民,到川普任期结束时,合法移民数量将减少33%至50%,涉及总人数在150万至240万之间。预计到2028年可能损失1900万“工年”的劳动力,以及商品和服务产值减少1.9万亿美元。一直声称川普只反对非法移民不反对合法移民的华人川粉人渣怎么看? https://t.co/eluVSFjNph

    134240031K viewsView on X
  • Sep 17, 20263.4x their median

    第一个被捕、过堂的川普党卫军成员。此人在今年年初在明尼阿波利斯的行动中朝逃逸的委内瑞拉移民开枪,击中腿部。被明尼苏达检察官起诉犯有二级袭击罪,在得州被捕后,得州州长拒绝引渡,拖了几个月,看选情不妙才同意引渡,今天在明尼阿波利斯过堂。什么时候抓捕、起诉杀害两名美国公民的党卫军? https://t.co/QdnWq7Rhv1

    147100016K viewsView on X
  • Oct 17, 20263.3x their median

    毛泽东还能入选史上最遭人恨的50人之第5名。金正恩居然已经超过了他爸。川普再努力努力,看能不能挤进去,和金主席为伍。 https://t.co/i1cFP2g6xI

    1091725334K 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 46 interactions against 938K followers, an engagement rate of 0.005%. Measured over 66 original posts, its engagement rate beats 25% of 20,182 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 12K times each, and 0.372% of those impressions turn into an interaction. That is about 1.33% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 66 posts sampled, 58% carry an image or video and 8% link out. The account's strongest tracked post pulled 305 interactions, about 6.6x its own typical post.

What is 方舟子's engagement rate on X?
方舟子 (@fangshimin) has an engagement rate of 0.005%, based on the median interactions across 66 original posts from the last 30 days against 937,510 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.005%, 方舟子 sits above the 10th percentile of the 204,491 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 @fangshimin have real engagement?
Its engagement rate beats 25% of the tracked X accounts closest to it in follower count (20,182 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 @fangshimin post?
Most posts go out around 19:00 UTC, and Friday is its busiest day, at roughly 2.37 posts per day across the measured window.

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