Back to @xinwendiaocha's profile

新闻调查 engagement report

@xinwendiaocha - 642K followers on X

Measured over 65 original posts from a 30-day window, last computed on October 5, 2026.

Engagement

Middle of its size range
Per follower
0.006%
of 642K followers
Per impression
0.115%
35K views on a typical post
Reach
5.37%
of its followers see a post
Typical post
40
interactions (median)
Saved
0.017%
6 bookmarks on a typical post
Posting rate
2.37/day
active 67% of days
Peak time
20:00 UTC
Thursday

A typical post picks up 40 interactions against 642K followers, an engagement rate of 0.006%. Measured over 65 original posts, its engagement rate beats 28% of 21,185 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 35K times each, and 0.115% of those impressions turn into an interaction. That is about 5.41% 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, with activity on roughly 67% of days. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 65 posts sampled, 46% carry an image or video and 49% link out. The account's strongest tracked post pulled 341 interactions, about 8.5x its own typical post.

Measured over 65 original posts from a 30-day window, last computed on October 5, 2026.

Compared with accounts its own size

新闻调查's engagement rate beats 28% of the tracked X accounts closest to it in follower count (21,185 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 8% 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 0.006%, 新闻调查 sits above the 10th percentile of the 212,270 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.695%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,270 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,455 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 percentile0.025%
50th percentile0.146%
75th percentile0.695%
90th percentile2.61%
99th percentile83.1%

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 20:00 UTC, and Thursday 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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 20:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video46% of posts+111%+108% to +115%34K
Outbound link49% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 46% 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.
  • 49% 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 155 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 30, 20268.5x their median

    那些表明中国无法逃避对尼泊尔洪灾责任的理由 1. 中国是第一个收到警告的一方。洪水发生在西藏吉隆,之后约45分钟才冲向下游的尼泊尔社区。这足够的时间来对邻国实施警告措施。 2. 尼泊尔没有收到有效的警告。在一场跨越边境的灾害中,几分钟的时间也能拯救许多生命。中国有45分钟的时间采取行动,这段时间足以决定是疏散民众还是酿成大规模死亡悲剧。 3. 最初,中国将责任归咎于一場地震。然而,随后美国地质调查局(USGS)得出结论,地震信号正是源于冰湖和岩石的巨大崩塌。 4. 中国正在剧烈改变这一地区。高速公路、铁路、大坝和定居点正在穿过地球上最脆弱且地震活动最强烈的山系之一进行建设。 5. 中国科学家已警告北京。他们已识别出不稳定的山坡、脆弱的地质结构以及连锁崩塌的风险。然而,建设活动仍在继续。 6. 中国隐瞒了灾害的规模。中国媒体最初仅强调有少数确认死亡案例,而在西藏仍有数百人失踪,边境地区的破坏程度已显而易见。中国被指控试图掩盖此事,类似于该国被认为在2019年11月隐瞒COVID-19疫情,通过审查网络信息。 中国需要公布监测数据、警告时间线以及环境影响评估报告;同时解释其基础设施是否加剧了破坏程度,而不是发布宣传视频,展示中国人民解放军(PLA)士兵姗姗来迟抵达现场。 尼泊尔值得获得证据、透明度和问责制。喜马拉雅山脉不承认政治边界。但责任也不能仅仅因为被隐藏在一条边境线后就消失。

    2354657361K viewsView on X
  • Sep 28, 20266.9x their median

    2021年郑州地铁暴雨一个女孩死前和男友的最后聊天记录 这场雨淹死了数百人,中共官媒至今还在封杀。 https://t.co/Xx4CG0ShWk

    240288064K viewsView on X
  • Sep 8, 20265.1x their median

    刚刚,又一个天后级歌手逃离中国!在机场被认出….. https://t.co/CWrzPuN0rU

    1541336077K viewsView on X
  • Sep 1, 20264.7x their median

    吓人!这个国家真变成了一个大监狱! https://t.co/ExwmfZOcnN

    1492613134K viewsView on X
  • Sep 7, 20264.0x their median

    刚刚!吴彦祖痛批中共草菅人命…. 墙内全网封杀…… https://t.co/yuwD78kKnr 来自 @YouTube

    96361066K viewsView on X
  • Aug 30, 20263.9x their median

    女博主无意拍下的视频,成为关键证据!比县城还繁华的吉隆镇,到底死了多少人? https://t.co/3El2Zcbnhc

    1301412041K viewsView on X
  • Aug 30, 20263.7x their median

    中国爆红:中国视频博主记录了尼泊尔-西藏口岸和道路崩塌前的最后时刻。 在这系列视频中,这位女孩表示,她在西藏前往尼泊尔旅行,并在返回中国前,正好赶在可怕的冰崩引发的山洪前。她仍清晰记得口岸女工作人员在护照上盖章时的微笑,以及她在路上遇到的那些司机和便利店售货员的友好。他们所有人可能都已经没能幸存。

    117921059K viewsView on X
  • Sep 6, 20263.6x their median

    习近平倒行逆施到了如此程度,太可怕了….. https://t.co/7ZuSWc7lf7

    701262153K viewsView on X
  • Sep 4, 20263.5x their median

    好无耻!官媒女主播把泥石流甩锅给美国…. 全网嘲讽! https://t.co/8Se3agLIh2

    89346031K viewsView on X
  • Aug 31, 20263.1x their median

    现场突发! 外国摄影师两次靠近习近平, 被保镖粗鲁拉开! 国际哗然! https://t.co/S9RfJ9ZnkC

    101718053K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 40 interactions against 642K followers, an engagement rate of 0.006%. Measured over 65 original posts, its engagement rate beats 28% of 21,185 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 35K times each, and 0.115% of those impressions turn into an interaction. That is about 5.41% 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, with activity on roughly 67% of days. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 65 posts sampled, 46% carry an image or video and 49% link out. The account's strongest tracked post pulled 341 interactions, about 8.5x its own typical post.

What is 新闻调查's engagement rate on X?
新闻调查 (@xinwendiaocha) has an engagement rate of 0.006%, based on the median interactions across 65 original posts from the last 30 days against 642,211 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.006%, 新闻调查 sits above the 10th percentile of the 212,270 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 @xinwendiaocha have real engagement?
Its engagement rate beats 28% of the tracked X accounts closest to it in follower count (21,185 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 @xinwendiaocha post?
Most posts go out around 20:00 UTC, and Thursday is its busiest day, at roughly 2.37 posts per day across the measured window.

Keep going