Channel
@toutiaoshijian
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Domains linked from posts · Cite this entry
71,200subscribers
+2,278 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001338472109 |
|---|---|
| Type | Channel |
| Usernames | @quanqiudashijian @toutiao2 @toutiao3 @toutiao4 @toutiao5 @toutiaoshijian @vu123 @xa666 @ye123 |
| Description | 要点资讯，安危事件，曝光爆料，时事新闻，社会热点推送。 你的关心，才是头条。 本频道谢绝任何政治敏感新闻，新闻仅供参考，无刻意引导~~ 商务： @qs456 防失联导航： @toutiao999 投稿机器人： @toutiaoshijian_bot |
| Created | 10 January 2018 — measured — Telegram's own channel record (MTProto) |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 October 2026 |
| Measurements held | 245 |
| Confirmed unchanged | 1 time, most recently 6 October 2026 |
| On Telegram | t.me/toutiaoshijian |
Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 82% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Oct 2026, 03:18 | 71,200 | -22 |
| 6 Oct 2026, 02:20 | 71,222 | -206 |
| 5 Oct 2026, 14:20 | 71,428 | -26 |
| 5 Oct 2026, 12:56 | 71,454 | -81 |
| 5 Oct 2026, 07:37 | 71,535 | -36 |
| 5 Oct 2026, 03:01 | 71,571 | -108 |
| 4 Oct 2026, 21:16 | 71,679 | -104 |
| 4 Oct 2026, 10:56 | 71,783 | +1 |
| 4 Oct 2026, 10:16 | 71,782 | -1,038 |
| 1 Oct 2026, 00:59 | 72,820 | -87 |
| 30 Sept 2026, 19:00 | 72,907 | -381 |
| 29 Sept 2026, 20:58 | 73,288 | -44 |
| 29 Sept 2026, 17:37 | 73,332 | -483 |
| 28 Sept 2026, 19:38 | 73,815 | -93 |
| 28 Sept 2026, 07:21 | 73,908 | -440 |
| 27 Sept 2026, 12:38 | 74,348 | -536 |
| 26 Sept 2026, 01:41 | 74,884 | -138 |
| 25 Sept 2026, 21:21 | 75,022 | -2,525 |
| 19 Sept 2026, 07:39 | 77,547 | -78 |
| 19 Sept 2026, 02:39 | 77,625 | first reading |
1,079 posts held, back to 7 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 107 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 436 of 707 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 October 2026 |
|---|---|
| Posts held | 1,079 (7 August 2026 – 6 October 2026) |
| Views total | 1,052,118 |
| Reactions total | 1,196 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Oct 2026, 15:14 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 6 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 320 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
1,986 reactions across 629 posts, in 8 distinct kinds. The most used accounts for 21.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5406913184810409829 | 427 | 21.5% | |
| ❤ | 368 | 18.5% | |
| custom 6219942432289594081 | 352 | 17.7% | |
| 👍 | 313 | 15.8% | |
| 👏 | 275 | 13.8% | |
| 🔥 | 245 | 12.3% | |
| 😱 | 3 | 0.151% | |
| 🤬 | 3 | 0.151% |
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 669 of the 1,000 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,986 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 9 August 2026 to 6 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @toutiaoshijian. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 9 August 2026 to 6 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 9 August 2026 to 6 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
#菲律宾 巴西兰省军车遭伏击10名士兵受伤，军方展开追捕 菲律宾巴西兰省蒂波蒂波镇10月5日上午发生军车伏击事件，一支由军用卡车和民用车辆组成的车队遭身份不明武装人员袭击，至少 #10名士兵受伤。 警方称，初步调查显示，袭击可能与武装组织头目萨达姆·西迪克有关，被指是针对近期军事行动的报复。 菲律宾陆军表示，受伤士兵已被送医，目前正在展开追捕行动，并对袭击事件进行进一步调查。 关注头条事件➡️@xa666 投稿联系➡️ @qs456
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#群友投稿：致还在东南亚奋斗的同胞们： 我们为什么拼命赚钱？说到底，不只是为了今天吃得好、住得好，而是为了给自己留一条随时可以离开的退路。 在东南亚漂着，很多时候你会发现，真正让人安心的，不是工资有多高，而是银行卡和钱包里的余额。 当你存下 1万U，哪怕突然没工作了，至少还有几个月的生活费，不至于每天醒来就焦虑。 当你存下 2万U，面对公司变动、项目停摆、收入下降，心里多少还能稳一点，不用为了下一顿饭、下一笔房租发愁。 当你存下 5万U，你会开始有底气面对生活，也能在父母需要的时候，拿出一点钱帮他们分担。 当你存下 10万U，你手里的不只是钱，而是一层面对未知风险的缓冲区。 而当你真正攒到 20万U以上，最大的变化可能不是你变得多有钱，而是你终于拥有了一个成年人最难得的东西——选择权。 不想干了，可以走。 项目不靠谱，可以换。 环境不安全，可以撤。 别人让你受委屈，也不用为了那点工资一直忍着。 人在海外，最怕的…
#开云 #管理无能 #招聘部现状 现在的开云招聘部都是一群狗屎管理当道！福利越来越拉跨，管理层一点逼用都没，一天到晚就知道催业绩，骂底下的兄弟，吃喝嫖赌抽拍总监马屁。 最恶心的上面的狗总监还出一个什么当日没简历的罚款条例，你他妈开口就没经过脑子考虑一样 张口就来，你任务是给到了部门负责人，负责人又把罚款一级一级往下压，最后罚的都是我们干活的专员兄弟们，最逗的是我们有入职但是没简历的也要跟着有小组罚款，你干脆把招聘部全部解散好了，公司迟早被你们这些垃圾搞没了，本来现在招一个人就不容易了，都是有责任底薪的，还额外搞罚款，你们这些管理层算是人吗？你们这么有心盯着下面的人罚款 怎么不多用心怎么去开发点部门要我们推的人？ 大多数部门都是停招的，满人在优化的，发出来的需求表没几个真实的，推过去不是满人就是不要了，这些CS真是占着茅坑不拉屎点作用都没发挥出来，每月吃着公司的给的钱却一点贡献都没有，认为做出来业绩就是他的功劳，做不来业绩…
👍2custom 62199424322895940811
#网友曝光 此人啊德重庆人，柬埔寨台湾盘口老板之前在宝龙1园区后来搬到西港凯旋城园区，金边财通园区，跟他认识很多年了，没有想到过会以这种方式来找你，钱真的不多可能也就是你玩一次包厢随手给出去的小费而已， 从9月初到现在一次又一次的联系你跟你老婆你们视而不见，避而不谈，我不欠你一分钱，相处这么久也没亏过你任何事，但是你也样对我就太不地道了，人在做，天在看。凡事做人留一线，日后好相见，别把路走绝了 关注头条事件➡️@xa666 投稿联系➡️ @qs456
#群友爆料：一个无良盘口，西港利乐少爷的盘口项目，木牌AI港大飞和太阳是资方，少爷和大飞各占百分之五十，总监陈会长，代理老金、大头，做了7个月美国股转大区。 公司入金时候遇到检查，搬了4次，西港利乐到木牌，木牌到8号公路黄金城，黄金城到拜林财神1。 公司最困难的时候，大家没有放弃，收盘后让大家回西港等，说这么大个公司，不会差这点提成。7月5号回的西港，到现在3个月了。 找太阳，太阳一会说等财务算工资，一会儿说等大飞韩国盘入金；找少爷，少爷说大飞把回款拿去用了，他不管这个事。到现在各种理由拖欠工资不发，踢皮球。 如果不出来把工资解决了，我会爆料以上人员办公室照片、聊天记录，并且向国内相关机构举报。不发工资，大家一起死！ 关注头条事件➡️@xa666 投稿联系➡️ @qs456
#马来西亚新闻 66岁中国女游客仙本那浮潜突发不适 上船后昏迷身亡 10月5日，马来西亚仙本那警方通报，一名来自中国云南的66岁女游客，10月4日在邦邦岛附近海域浮潜时突然身体不适，返回船上后失去意识，最终送医不治。 当天中午约12时30分，女子与家人在海上浮潜，期间感觉身体不舒服，要求先回船上休息。上船后不久，她便陷入昏迷。 工作人员立即为她进行心肺复苏，随后送往仙本那医院，但最终被确认死亡。警方调查发现，女子有约10年的哮喘病史，案件目前按猝死案处理。 关注头条事件➡️@xa666 投稿联系➡️ @qs456
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#群友投稿：发这个帖子不是为了占用公共资源，也不是随便编出来的，我是真的想找一个叫林夕的女孩子。 不知道你现在还记不记得我。24年快年底的时候，我们刚认识，那段时间我真的挺开心的。那时候我经常叫你“夕姐”，哈哈。后来还和朋友一起去见了你，我们在金边小龙坎吃了火锅，吃完又去了瑰丽47层喝酒。记得那天走的时候，你还亲了我一下。 这些事情过去这么久了，我现在想起来，还是觉得很美好。 其实那个时候的我，根本不懂应该怎么对待一段感情。再加上那时候身上太多钱，年轻，日子过得也顺，身边的人和事来来去去，多少有点飘了。总觉得以后还有很多时间，也总觉得很多东西失去了还会再回来，所以很多当时应该珍惜的东西，我都没有真正放在心上。 我们后来没有继续发展下去，但你这个人，我一直都记得。 25年我彻底迷失在了灯红酒绿里面。因为太顺利，半年就上岸了，身边的人越来越多，酒局越来越多，生活看起来很热闹，可自己其实越来越不知道每天到底在追什么。 现在…
今天波贝市再查5处地点 9名外籍人员未涉网诈 波贝市联合工作组今天对波贝分区与棉芷分区的三处及两处地点（共5处）开展联合行政检查。 经查，现场共发现9名外籍人员（包括5名泰籍和4名中国籍）。工作组确认，所有人员均未参与网络诈骗。其中4名中国籍及1名泰籍人员证件健全，另有4名无有效证件的泰籍人员已被移交波贝市警察局依法处理。 关注头条事件➡️@xa666 投稿联系➡️ @qs456
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柬埔寨还是电诈天堂吗？ 投稿：今天中午手机收到短信，内容宣传柬埔寨反诈的，短信内容是柬文和英文的“柬埔寨并非网络诈骗犯罪分子的天堂”（ CAMBODIA IS NOT A SAFE HAVEN FOR ONLINE SCAM CRIMINALS）。 PS：稍微不太准确，准确说应该是“柬埔寨曾经是电诈天堂，如今要摆脱电诈天堂之名。” 关注头条事件➡️@xa666 投稿联系➡️ @qs456
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Showing the 12 most recent of 1,079 posts we hold for @toutiaoshijian. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Named by 248 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
@toutiaoshijian named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
References a handle that is not a live channel — we have no record it ever was one.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 18 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 192 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
8 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 6 October 2026 — this entry's latest reading, not the date you are reading this.
“头条事件” (@toutiaoshijian), 71,200 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/toutiaoshijian.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.