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Channel

新闻头条大事件

@ttdsj8

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

52,336subscribers

+52,331 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1004465220482
TypeChannel
Username@ttdsj8
Description合作/投稿 认准: @zmjs97
CreatedBetween 1 June 2026 and 12 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live18 September 2026
Measurements held9
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/ttdsj8

Topic

International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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.

Growth

552,90826,456.57 August 2026 — 5 subscribers13 August 2026 — 5 subscribers30 August 2026 — 17,801 subscribers8 September 2026 — 52,908 subscribers11 September 2026 — 52,871 subscribers13 September 2026 — 52,774 subscribers14 September 2026 — 52,736 subscribers16 September 2026 — 52,681 subscribers18 September 2026 — 52,336 subscribers52,3367 August 202618 September 2026
9 measurements spanning 42 days, net +52,331. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 17:1652,336-345
16 Sept 2026, 11:5952,681-55
14 Sept 2026, 16:5952,736-38
13 Sept 2026, 05:3852,774-97
11 Sept 2026, 07:1652,871-37
8 Sept 2026, 13:3652,908+35,107
30 Aug 2026, 05:4817,801+17,796
13 Aug 2026, 01:015no change
7 Aug 2026, 12:145first reading

Engagement

298 posts held, back to 12 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 31 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.69%
avg views ÷ 52,336 subscribers
Avg views / post
1,410
288 posts measured
Reaction rate
1.57%
reactions ÷ views · ER floor
Posts in window
288
of 298 held

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 268 of 288 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 19 September 2026
Posts held298 (12 August 202619 September 2026)
Views total405,039
Reactions total6,212
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Sept 2026, 04:31 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.

What this channel posts

Photos
3,460
Videos
320
Links
49

Lifetime counters from Telegram’s own channel header, read 19 September 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.

Video runtime
19m 39s
Average length
33s

Measured directly from 36 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.

Reaction mix

6,398 reactions across 274 posts, in 9 distinct kinds. The most used accounts for 11.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥74411.6%
💯73811.5%
🎉72811.4%
🤩72411.3%
🥰71011.1%
❤‍🔥70311.0%
70211.0%
😍67610.6%
👍67310.5%

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 274 of the 298 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 6,398 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 298 most recent posts we hold, published 12 August 2026 to 19 September 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.

Recent posts

19 Sept 2026, 03:18 UTC1 views28 reactionsread 19 September 2026
Photo

七星海一仓库疑点重重遭举报,人员夜间留宿,频繁往返西港 国公省基里沙科县警方根据群众举报,突击搜查七星海一处名义上为仓库的建筑。 该场地由中国老板向当地租赁,看管人员证实,时常有中国人深夜坐车过来留宿,人员不断在西港、七星海之间来回流动。 搜查现场只找到大量生活物资,但屋内房间留存刚使用过的蚊香、烟蒂,说明不久前还有大批人员在此停留。 该地点早已被媒体盯上,怀疑内部暗藏不法活动。媒体评价本次现场核查较为表面,呼吁警方深挖线索,不要止于简单现场检查,进一步查清该仓库真实用途。

👍5🤩4🥰43❤‍🔥3🎉3🔥3💯2

19 Sept 2026, 02:26 UTC21 views27 reactionsread 19 September 2026
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金边女汽车销售员死亡,一男子被抓 9月16日凌晨,金边堆谷区一间出租屋内,一名32岁女汽车销售员死亡。 警方调查称,她此前与朋友聚餐,凌晨又与一男一女前往出租屋吸毒,之后身体出现异常,送医时已经死亡。 法医发现死者面部和双眼有淤肿,认定其因面部遭殴打、头部严重受创死亡,体内同时检出K粉和摇头丸。 一名32岁男子已被抓,他承认曾殴打、扇打死者,但称是为了叫醒昏迷的她;另一名26岁女子目前仍在逃。

❤‍🔥6🤩54👍4🥰3💯2🔥2😍1

19 Sept 2026, 01:45 UTC≈2,310 views30 reactionsread 19 September 2026
Video

#国内资讯:北京男子私下换汇连转6笔人民币 账户显示港币到账十多天后却全没了 9月17日,北京市反诈中心发布预警,提醒警惕境外支票“假到账”换汇骗局。北京男子王先生8月通过网络私下兑换港币,连续完成6笔交易,每次都是先看到港币进入账户,再把人民币转给对方。十多天后,他准备使用这笔钱时,却发现此前显示到账的港币已经被陆续撤回。 8月中旬,王先生在网上看到有人发布港币兑换人民币的信息。对方自称是内地人,从事海鲜生意,因为业务需要大量人民币。王先生正好有香港业务,需要港币,双方很快谈妥交易。 对方提出,每次先把港币打进王先生账户,等他看到余额增加后,再转出等额人民币。第一笔约为20万元人民币,王先生确认港币显示到账后,把20万元人民币转到对方指定账户。 之后双方又用同样方式连续交易,前后共操作6次。每一次都是港币先显示进入账户,王先生再转出人民币。看到钱已经“到账”,他一直没有发现异常。 9月初,王先生准备使用公司账户资金时

🎉6🤩64❤‍🔥4🥰4👍2🔥2😍2

19 Sept 2026, 00:35 UTC1 views29 reactionsread 19 September 2026
Photo

磅士卑(实居)省法院越狱事件后续:一名逃犯被抓获,尚有一人在逃 针对昨日发生在实居省法院的嫌疑人翻墙脱逃案件,实居省警察局对外发布澄清通报。通报显示,两名在押嫌疑人,以借口上洗手间为机会,趁机翻越围墙逃离法院。 案发之后,当地警方立刻部署力量开展追捕行动,现已成功将31 岁、涉嫌多次盗窃的嫌疑人万武提(Van Vuthy)抓捕归案;而另一名 27 岁嫌疑人楞凯(Leng Keo),因涉及六次偷鸡案件,目前依旧处于在逃状态,警方正调集力量开展全力搜捕。 后续事件调查、看管漏洞核查等相关消息,有待当地公安部门进一步对外公布。

😍7💯54❤‍🔥4🔥3🎉2🤩2👍1

18 Sept 2026, 23:43 UTC≈2,980 views22 reactionsread 19 September 2026
Video

泰国清迈抓获中国籍 USDT 币商中间人,涉案 720 万 USDT 牵出 40 亿规模诈骗资金链 泰国警方在清迈开展抓捕行动,成功抓获一名中国籍 USDT 币商中间人。这名嫌疑人处于电诈犯罪的关键资金环节,专门为网络诈骗团伙提供虚拟币兑换服务,协助诈骗赃款完成洗白与跨境转移,其经手交易规模高达720 万 USDT。 警方顺着该嫌疑人的资金线索深度挖掘,直接牵出总规模达 40 亿的庞大诈骗资金链条。 在抓捕现场,办案部门完成银行账户冻结工作,同时起获现金、豪车、名表等一大批涉案赃物。 目前,该嫌疑人被正式指控共谋洗钱罪名,案件正持续扩线侦办,团伙其余涉案人员还待进一步抓捕到案。

👍6🎉4🔥3🤩32❤‍🔥1💯1🥰1

18 Sept 2026, 22:24 UTC1 views26 reactionsread 19 September 2026
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柬泰边境最新动态:泰籍11人被遣返,32名柬籍人员被泰方送回 9月18日上午9时45分,柬埔寨卜迭棉芷省波贝国际口岸开展人员遣返及接收工作。 当天,波贝国际口岸警方联合暹粒省遣返准备站、柬埔寨移民总局调查与执行程序部门,以及泰国沙缴府亚兰县相关移民警察等部门,在有关地方政府和机构配合下,完成双方人员移交。 此次行动中: 1、遣返泰国公民11人,其中女性5人。上述人员涉及非法逾期居留等违法行为,并已完成相关处罚。 2、接收被泰方遣返回国的柬埔寨公民32人,其中女性7人、儿童3人。这些人员涉嫌非法越境进入泰国,随后被泰方遣返回柬。 柬方工作人员现场为返柬人员提供了猪肉饭和饮用水等食物。随后,警方对32名柬籍人员进行身份及背景登记,并将他们送往波贝临时安置中心,由相关部门继续依法办理后续程序。

👍4🤩43❤‍🔥3🎉3🥰3😍3🔥2

18 Sept 2026, 21:35 UTC1 views21 reactionsread 19 September 2026
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#小姐姐爆料:缅甸交克智慧城云鼎KTV 一位越南妈咪Tina,她专门针对中国女孩子,哪位女孩子业绩好、容貌长得好,她就罚款谁,而且在女孩子上头不知情的情况下,她的罚款都是10万泰铢地步,对中国女孩子零容忍。 她就想把中国的稍微颜值高一点、业绩好的女孩子开除的一个都不剩,好让她的越南妹妹上班。关于住宿费也都是她想起来就收一次,强制卖她的衣服,收费相当贵,每天必须按她越南风格上班,在那里上班上的心惊胆战。 连呼吸都生怕自己头上出现一个大的罚款单,如果没钱罚款,她就要让家里打钱,罚款没清,走不出智慧城。已经好多女孩子在智慧城着了她的大罚款,希望出国淘金的姐妹,一定要避入这个云鼎KTV的坑,也希望云鼎KTV的老板们重视这个问题。 不要让她一人独大,迫害我们这些出国赚点辛苦钱的扶手们,也希望你们查下她罚了女孩子这么多钱,最终钱的流向在哪里。

🤩54🥰4😍3🎉2❤‍🔥1💯1🔥1

18 Sept 2026, 15:44 UTC357 views20 reactionsread 18 September 2026
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电诈向偏远区域转移,掸邦南桑镇查获五十名网诈网赌涉案人员 随着缅甸多地持续加大打击电诈力度,不少诈骗、赌博窝点开始向掸邦南部这类偏远乡镇转移,利用乡村地带的隐蔽环境继续从事非法活动。 9 月 17 日,南桑镇共扬村附近的一处窝点被执法部门连根拔除,50 名涉案人员落网,一批作案设备被扣押。 值得注意的是,现阶段官方没有公布人员国籍与物证明细,这也反映出部分边境乡村案件信息披露存在滞后。 持续扫荡分散化、小型化的地下窝点,依旧是当地打击跨境网络犯罪的重点,后续侦办结果也将受到外界持续关注。

🎉5🔥4👍3💯3🥰21❤‍🔥1😍1

18 Sept 2026, 15:07 UTC450 views20 reactionsread 18 September 2026
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加密货币沦为犯罪资金通道,全球 90 国专家协同打击虚拟资产洗钱诈骗 9 月 15 日‑16 日,由欧洲刑警组织、联合国毒品和犯罪问题办公室、巴塞尔治理研究所联合主办的第十届犯罪资金与加密资产全球会议于卢森堡召开,近 90 个国家共 450 余名执法、司法、金融监管以及企业代表参会。 会议研判,诈骗、洗钱、网络攻击、人口贩运等犯罪行为,正频繁借助加密货币完成收款、转账以及隐匿赃款,传统依托银行账户溯源的侦查模式,已经难以应对这类新型犯罪。 各国执法机构正在加大运用区块链分析工具,定位涉案钱包、梳理资金轨迹,争取在资金完成转移、兑换之前完成冻结扣押。虚拟货币具备极速跨境流转的特点,这也让警方、检察机关、金融情报部门的响应协作效率,成为打击工作的关键。 会议提出,要推动加密货币交易所、金融机构、区块链分析企业和执法机关打通信息共享渠道。 未来反诈反洗钱工作,不再局限于抓捕涉案人员,更要快速锁定资金链路、冻结涉案资产,全力追

❤‍🔥5😍4🤩32👍2🥰2🎉1🔥1

18 Sept 2026, 14:37 UTC≈1,950 views21 reactionsread 18 September 2026
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#网友投稿:18号西港疑似将有新一轮大检查行动 今天部分线上菠菜业务已经暂停,有公司通知员工暂时居家办公;包括凯旋、星际等赌场也被指已经收到相关通知

6💯5🥰3😍3❤‍🔥2🎉1🤩1

18 Sept 2026, 14:36 UTC≈1,860 views20 reactionsread 18 September 2026
Forwarded from @hqbgbPhoto

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🎉4👍43😍3💯2🤩2❤‍🔥1🥰1

18 Sept 2026, 13:17 UTC≈1,870 views40 reactionsread 18 September 2026
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中国驻柬公使:坚决打击意图破坏中柬关系的虚假信息 今天,柬埔寨新闻部在金边举办澜湄合作框架下的“打击虚假信息”媒体论坛。中国驻柬埔寨大使馆公使姜楠出席并表明严正立场,坚决打击意图破坏中柬关系的虚假信息。 针对近期网络流传的“中柬关系降温”及“合作项目受阻”等谣言,以及断章取义官方言论的做法,中国驻柬使馆已在社交平台设立“中柬关系谣言与事实”专栏予以澄清辟谣。 中方强调,虚假信息跨国传播已成为澜湄地区的共同挑战。中国通过澜湄合作专项基金积极支持柬新闻部开展信息核验与公众引导,未来将继续与湄公河国家深化合作,共同营造良好的区域舆论环境。

🔥8😍75💯5👍4❤‍🔥3🤩3🥰3

Showing the 12 most recent of 298 posts we hold for @ttdsj8. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — 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.

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.

Cite this entry

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“新闻头条大事件” (@ttdsj8), 52,336 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ttdsj8.

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.