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纽约时报中文网 engagement report

@nytchinese - 3.8M followers on X

Measured over 137 original posts from a 30-day window, last computed on October 6, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 3.8M followers
Per impression
0.167%
74K views on a typical post
Reach
1.94%
of its followers see a post
Typical post
124
interactions (median)
Saved
0.02%
15 bookmarks on a typical post
Posting rate
4.77/day
active 63% of days
Peak time
01:00 UTC
Monday

A typical post picks up 124 interactions against 3.8M followers, an engagement rate of 0.003%. Measured over 137 original posts, its engagement rate beats 22% of 15,519 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 74K times each, and 0.167% of those impressions turn into an interaction. That is about 1.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.8 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 01:00 UTC, and Monday is the busiest day of the week. Of the 137 posts sampled, 100% link out. The account's strongest tracked post pulled 1.8K interactions, about 14x its own typical post. Recurring topics include #时报专栏, #观点, #书评.

Measured over 137 original posts from a 30-day window, last computed on October 6, 2026. Recurring tags: #时报专栏, #观点, #书评.

Compared with accounts its own size

纽约时报中文网's engagement rate beats 22% of the tracked X accounts closest to it in follower count (15,519 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 13% 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 0.003%, 纽约时报中文网 sits above the 10th percentile of the 155,901 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.3%
Engagement rate as a share of followers, across the 155,901 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,040 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 percentile0.003%
25th percentile0.022%
50th percentile0.127%
75th percentile0.604%
90th percentile2.32%
99th percentile83.3%

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 Monday 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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.
  • 100% 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 130 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 21, 202614x their median

    中国豪赌“人工智能大跃进”,经济却陷入大麻烦:在习近平领导下,中国大举推进尖端技术发展,经济却陷入通缩螺旋。一些经济学家直言,以AI为中心的资源分配可能会让普通人的生计和国家经济付出高昂代价。但领导层几乎没有理会他们的警告。https://t.co/PphtENL3B7

    1.2K12043545266K viewsView on X
  • Sep 18, 202612x their median

    脱北者白惠玉说,她在朝鲜东北部劳改营注意到的第一件事就是气味。一个不比双车位车库大的牢房里关押着100多名女性。看守无法忍受不洗澡的身体发出的恶臭,在传唤囚犯时要求她们跪在三米多开外。臭虫会掉进盛着稀粥的碗里。“你不会把它吐出来,因为你活命得靠它,”工作从黎明开始。视力好的年轻女性缝制假发和假睫毛。白女士说,监狱官员告诉囚犯,货物经由附近的罗先市运往中国。https://t.co/GVAR1wQeYu

    1.2K2198128316K viewsView on X
  • Sep 2, 202611x their median

    中国严格控制西藏灾情叙事:外国记者不被允许进入西藏,社交媒体上的视频被迅速删除。官媒的报道强调救援,但几乎看不到幸存者和遇难者。质疑官方死亡人数的人被处以“行政处罚”。人权观察亚洲区副主任王松莲说:“威权政府最害怕的就是问题,”她说,“它们惯用的做法就是控制叙事,扑灭一切问题,因为这些问题最终不可避免地会指向追责。”https://t.co/XlHIBrR915

    91112833614138K viewsView on X
  • Sep 8, 202610x their median

    以网名“李老师”闻名的李颖说,随着经济衰退,人们开始提出以前根本不需要思考的问题。许多用户可能没有意识到,他们的个人抱怨可能会被视为政治性的。例如,他说,小红书上一些政府工作人员互相比较有几个月没领到工资。对于社交媒体用户来说,他们的帖子感觉像个人反思或抱怨。但汇总起来,却勾勒出一个与官方宣扬的进步与繁荣叙事格格不入的中国。https://t.co/TFGfSqkF71

    1.0K8020210212K viewsView on X
  • Sep 8, 20268.3x their median

    中共一直试图让“正能量”成为互联网的主导情绪,但如今社交媒体上充斥着悲观的贴文,无数关于微薄工资、工作岗位稀缺、房产贬值以及对未来担忧的帖子。人们用反讽和嘲弄来表达自己的痛苦与不满,这种批评有时甚至会触及禁忌领域——习近平以及中共的统治。https://t.co/P5TpeNZDjl

    8031021254131K viewsView on X
  • Sep 16, 20267.5x their median

    《懦夫群像》:为何这些权势人物向特朗普卑躬屈膝?数量惊人的美国权势人物在威权压力下迅速暴露出怯懦、无原则的本质,原来不过是徒有虚名之辈。这本新书聚焦特朗普重返白宫执政的第一年,展示了贝佐斯、苏世民等精英人物对特朗普的“大投降”。https://t.co/X4TI9tnb3I

    7161176823199K viewsView on X
  • Sep 9, 20266.9x their median

    宾夕法尼亚大学研究员、人权问题专家王亚秋表示,中国政府严格控制信息的一个原因是害怕集体悲伤的力量。她说:“如果家属们了解到彼此的经历,个人的悲痛可能会变成共同的悲愤,最终演变成对真相和问责的集体诉求。” https://t.co/9zbOYfnvlJ

    55561231496K viewsView on X
  • Sep 25, 20266.7x their median

    特朗普称CNN等媒体的记者威胁国家安全,禁止他们进入白宫,却对专制政权的领导人习近平盛情欢迎。这映射出华盛顿荒诞离奇的政治现实。特朗普对独裁者、暴君的亲近让民主国家的领导人和外交官困惑,也重新塑造了美国的外交政策。https://t.co/yLl7VxRu5k

    513572569104K viewsView on X
  • Aug 28, 20266.1x their median

    西藏灾区民众拍摄的现场视频在中国社交媒体上遭到审查。官方媒体的报道主要集中在救援工作上,着重报道了领导人的指示和政府的行动,对于受灾村落的情况却未予详细说明。https://t.co/4ZnHnzS8Wt

    567771076141K viewsView on X
  • Aug 19, 20265.9x their median

    “我不想生活在中共的统治下,”阿尔比·李说。“如果中国入侵,我绝不甘心把命运拱手让人。”这位29岁的台湾女子平日在新竹做家政打扫;到了周末,她则为应对中国可能的武力攻台做准备。她说,当她向客户谈到做防备的必要性时,“我们要么遭到嘲笑,要么遭到讽刺,”但她并未气馁。“我希望唤醒台湾民众——哪怕一次只能唤醒一个人。”https://t.co/D4gmUpj2jP

    4443724111156K 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

#时报专栏#观点#书评#讣告

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 124 interactions against 3.8M followers, an engagement rate of 0.003%. Measured over 137 original posts, its engagement rate beats 22% of 15,519 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 74K times each, and 0.167% of those impressions turn into an interaction. That is about 1.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.8 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 01:00 UTC, and Monday is the busiest day of the week. Of the 137 posts sampled, 100% link out. The account's strongest tracked post pulled 1.8K interactions, about 14x its own typical post. Recurring topics include #时报专栏, #观点, #书评.

What is 纽约时报中文网's engagement rate on X?
纽约时报中文网 (@nytchinese) has an engagement rate of 0.003%, based on the median interactions across 137 original posts from the last 30 days against 3,811,108 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, 纽约时报中文网 sits above the 10th percentile of the 155,901 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 @nytchinese have real engagement?
Its engagement rate beats 22% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the bottom quarter for its size 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 @nytchinese post?
Most posts go out around 01:00 UTC, and Monday is its busiest day, at roughly 4.77 posts per day across the measured window.

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