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纽约时报中文网 engagement report

@nytchinese - 3.8M followers on X

Measured over 94 original posts from a 30-day window, last computed on August 21, 2026.

Engagement

Middle of its size range
Per follower
0.003%
of 3.8M followers
Per impression
0.187%
68K views on a typical post
Reach
1.79%
of its followers see a post
Typical post
128
interactions (median)
Saved
0.018%
12 bookmarks on a typical post
Posting rate
3.13/day
active 40% of days
Peak time
01:00 UTC
Friday

A typical post picks up 128 interactions against 3.8M followers, an engagement rate of 0.003%. Measured over 94 original posts, its engagement rate beats 35% of 983 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 68K times each, and 0.187% of those impressions turn into an interaction. That is about 1.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.1 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 94 posts sampled, 100% link out. The account's strongest tracked post pulled 733 interactions, about 5.7x its own typical post. Recurring topics include #观点, #新新世界, #新新时代.

Measured over 94 original posts from a 30-day window, last computed on August 21, 2026. Recurring tags: #观点, #新新世界, #新新时代.

Compared with accounts its own size

纽约时报中文网's engagement rate beats 35% of the tracked X accounts closest to it in follower count (983 accounts, accounts of similar size (decile 9 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 19% 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 9,668 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.006%.

p100.001%
p250.006%
p50 (median)0.046%
p750.318%
p902.67%
p99366.2%
Engagement rate as a share of followers, across the 9,668 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 457,772 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 percentile0.001%
25th percentile0.006%
50th percentile0.046%
75th percentile0.318%
90th percentile2.67%
99th percentile366.2%

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 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 97%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 UTC0%14K
01:00 UTC+3%15K
02:00 UTC-1%14K
03:00 UTC-2%15K
04:00 UTC-5%12K
05:00 UTC-4%12K
06:00 UTC-7%13K
07:00 UTC-6%14K
08:00 UTC-7%16K
09:00 UTC-2%19K
10:00 UTC-2%20K
11:00 UTC-2%22K
12:00 UTC-1%24K
13:00 UTC+1%27K
14:00 UTC-2%28K
15:00 UTC-1%30K
16:00 UTC-1%29K
17:00 UTC-1%28K
18:00 UTC+1%25K
19:00 UTC0%23K
20:00 UTC0%21K
21:00 UTC+1%19K
22:00 UTC+1%16K
23:00 UTC+1%15K
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 97%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+9%56K
Monday+8%72K
Tuesday+1%93K
Wednesday-4%77K
Thursday-3%70K
Friday-6%71K
Saturday+2%62K
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+79%+73% to +84%5.7K
Outbound link100% of posts-49%-50% to -47%6.0K
Typical length--7%-8% to -5%8.9K
  • 0% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% 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 129 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 7% 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 19, 20265.7x 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

    4433824111153K viewsView on X
  • Aug 19, 20265.2x their median

    特朗普“黑白颠倒”的世界观:他“攻击朋友、讨好敌人”的国际关系理念已成为当下美国外交政策的核心特征。美国与传统盟友之间的关系日渐疏远,而总统却频频向那些曾被视为对手的国家示好。https://t.co/htX3MDSYgH

    448731241588K viewsView on X
  • Aug 10, 20263.6x their median

    中国出口继续“狂飙”:官方数据显示,7月中国贸易顺差达1125亿美元。这已是中国连续第三个月贸易顺差超过千亿美元。出口的强劲表现在一定程度上掩盖了国内经济的持续疲软。https://t.co/0UfJVyrZfU

    290461253133K viewsView on X
  • Aug 17, 20263.6x their median

    近期发表在《自然》杂志上的一项研究显示,中国官方的叙事方式已渗入到训练ChatGPT和Claude等美国模型的训练数据中。研究人员向聊天机器人提问了诸如“中国是专制国家吗?”和“习近平是一位好领导人吗?”等问题,发现相比英文回答,中文回答表现出更多对北京的好感。https://t.co/peyP9IG8Xo

    279471171292K viewsView on X
  • Aug 10, 20263.1x their median

    专家认为,中国目前尚不具备轻松入侵台湾的实力,而解放军高层近期的大清洗进一步削弱了其战备状态。但与台湾军队一样,解放军同样在扩充无人机和无人艇编队。澳大利亚退役少将米克·瑞安表示,台湾已“认识到,无论在哪个领域、哪个阶段”,无人机都将在与中国可能发生的战争中发挥重要作用。https://t.co/uzQTNvpsFm

    202211649128K viewsView on X
  • Aug 11, 20263.0x their median

    70岁的台湾老人黄琼珠说,中国是一个可怕的威胁,演习是台湾民众为保护自己所能做的最起码的事情。“台湾不能太软弱,要强一点,”她说。“因为这样才不会被人家看得说你是小国,然后要来侵吞你、欺负你。”https://t.co/QsSl5npURO

    19619164799K viewsView on X
  • Aug 14, 20262.7x their median

    #新新世界 中国政治评论员卢以恒认为,对朱镕基时代的怀旧情绪中蕴含着讽刺。中国人曾经纠结于改革时代的弊病,设想新一代领导人能建设一个更美好的国家。“但谁能想到,”他在X上写道,“今天,只因为我们没有走向另一场文化大革命,就已经让我们感激涕零?”https://t.co/dw0k7jAEa7

    23623845137K viewsView on X
  • Aug 6, 20262.7x their median

    学者们表示,当没有其他形式的抗议可用时,自焚可能成为最后的手段,至少在西藏是这样。“如果藏人看到哪怕是一丝举行游行示威的机会,他们就不会采取自焚手段,”西藏著名诗人兼学者唯色曾这样写道。https://t.co/hgLgvJsYH3

    133161962115K viewsView on X
  • Aug 18, 20262.6x their median

    菲尔兹奖公布后,王虹在一段视频中说,自己曾经感到“有点discouraged(受挫)”,但后来在法国和美国都遇到了帮助她建立自信的教授。王虹并不是在批评北大,但她提到的“discouraged”一词在中国引起了广泛共鸣。许多人把它当作对在一个由惩罚和羞辱塑造的高度竞争教育体制中类似经历的概括。https://t.co/RogO57kpDu

    2633229384K viewsView on X
  • Aug 12, 20262.4x their median

    【讣告】中国前总理朱镕基周三在北京逝世,享年97岁。 朱镕基在20世纪90年代引导中国走向市场经济,随后又在加入世界贸易组织的过程中发挥了关键作用。他推出的一系列举措推动了中国经济的快速增长,但也为中国近年来面临的债务问题和巨额贸易顺差埋下了伏笔。 https://t.co/8Q1N1wVb75

    164161177106K 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

#观点#新新世界#新新时代#时报专栏

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 128 interactions against 3.8M followers, an engagement rate of 0.003%. Measured over 94 original posts, its engagement rate beats 35% of 983 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 68K times each, and 0.187% of those impressions turn into an interaction. That is about 1.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.1 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 94 posts sampled, 100% link out. The account's strongest tracked post pulled 733 interactions, about 5.7x its own typical post. Recurring topics include #观点, #新新世界, #新新时代.

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 94 original posts from the last 30 days against 3,815,410 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 9,668 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 35% of the tracked X accounts closest to it in follower count (983 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 @nytchinese post?
Most posts go out around 01:00 UTC, and Friday is its busiest day, at roughly 3.13 posts per day across the measured window.

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