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Channel

东南亚 早帖新闻 @ZaoTie

@ZaoTieTV

2 usernames

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

1,826subscribers

-40 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002261983253
TypeChannel
Usernames@ZaoTie @ZaoTieTV
CreatedBetween 1 October 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 September 2026
Measurements held18
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/ZaoTieTV

Growth

1,8261,8661,8467 August 2026 — 1,866 subscribers7 August 2026 — 1,866 subscribers8 August 2026 — 1,865 subscribers10 August 2026 — 1,858 subscribers14 August 2026 — 1,855 subscribers17 August 2026 — 1,847 subscribers17 August 2026 — 1,846 subscribers17 August 2026 — 1,843 subscribers20 August 2026 — 1,842 subscribers20 August 2026 — 1,840 subscribers24 August 2026 — 1,835 subscribers24 August 2026 — 1,834 subscribers27 August 2026 — 1,834 subscribers29 August 2026 — 1,832 subscribers30 August 2026 — 1,830 subscribers2 September 2026 — 1,833 subscribers5 September 2026 — 1,831 subscribers7 September 2026 — 1,826 subscribers7 August 20267 September 2026
18 measurements spanning 31 days, net -40. 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”. The vertical axis spans 1,820–1,872 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Sept 2026, 07:161,826-5
5 Sept 2026, 21:181,831-2
2 Sept 2026, 15:551,833+3
30 Aug 2026, 17:331,830-2
29 Aug 2026, 20:451,832-2
27 Aug 2026, 00:181,834no change
24 Aug 2026, 14:361,834-1
24 Aug 2026, 08:541,835-5
20 Aug 2026, 23:071,840-2
20 Aug 2026, 12:521,842-1
17 Aug 2026, 16:051,843-3
17 Aug 2026, 12:441,846-1
17 Aug 2026, 09:111,847-8
14 Aug 2026, 05:381,855-3
10 Aug 2026, 19:331,858-7
8 Aug 2026, 05:021,865-1
7 Aug 2026, 20:471,866no change
7 Aug 2026, 18:191,866first reading

Engagement

25 posts held, back to 7 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 2 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.285%
avg views ÷ 1,826 subscribers
Avg views / post
5.2
15 posts measured
Reaction rate
56.0%
reactions ÷ views · ER floor
Posts in window
15
of 25 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 14 of 15 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 17 August 2026
Posts held25 (7 August 202617 August 2026)
Views total78
Reactions total42
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Aug 2026, 09:11 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

Video runtime
10m 32s
Average length
49s

Measured directly from 13 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

66 reactions across 22 posts, in 5 distinct kinds. The most used accounts for 22.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👏1522.7%
🥰1522.7%
1218.2%
👍1218.2%
🔥1218.2%

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 22 of the 25 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 66 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 7 August 2026 to 17 August 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

17 Aug 2026, 06:30 UTC9 views3 reactionsread 17 August 2026
Photo

#越南资讯:岘港警方应中国公安部协查请求,连续抓获5名中国籍在逃人员! 岘港市公安局刑事警察局8月16日对外通报:应中国公安部协查请求,该局联合越南公安部各业务单位以及基层公安,先后抓获5名藏匿于岘港的中国籍通缉人员,目前涉案人员已通过友谊关国际口岸移交中方。 8月13日,岘港市刑事警察局联合越南公安部刑事警察局专项工作组,以及和强坊、五行山坊、山茶坊基层公安开展集中收网行动,抓获4名中方提请协查的在逃人员:黄彦林(1973年生)、王雪峰(1992年生)、张慧娟(1973年生)、张建清(1975年生),四人均为中国国籍。 在本次集中收网的数日之前,岘港市刑警部门就联合五行山坊公安抓获另一名在逃人员王宏建,男,40岁,中国国籍,其同样被中方列为追逃对象。经辖区排查,警方确认王宏建入境越南后藏匿于五行山坊辖区。 #早帖新闻

1🔥1🥰1

17 Aug 2026, 05:36 UTC9 views3 reactionsread 17 August 2026
Photo

#菲律宾帕赛公寓突袭 #8名中国人 被抓 #涉网赌洗钱 和假银行账户 菲律宾移民局联合警方突袭帕赛市一处公寓,端掉涉嫌非法网络赌博的窝点,当场抓获9名外国人,包括8名中国人和1名越南人。 执法人员进入现场时,多名嫌疑人正在电脑前操作网络赌博网站,相关业务主要面向菲律宾境外客户。 更值得关注的是,警方调查发现,该窝点疑似不仅涉及网赌,还涉嫌利用虚假银行账户转移非法资金,并被指向诈骗团伙提供银行账户。 此外,案件还涉及虚拟代币交易,警方目前正从网络赌博、资金转移及洗钱等方向展开调查。 #早帖新闻

1👍1🥰1

17 Aug 2026, 05:18 UTC8 views3 reactionsread 17 August 2026
Photo

技术漏洞导致加密钱包近4万名客户数据泄露 #早帖新闻

👍1🔥1🥰1

17 Aug 2026, 04:27 UTC4 views3 reactionsread 17 August 2026
Photo

🇵🇰 #伊斯兰堡斯帕科广场“Sparco Plaza大楼”372名狗推被抓事件! #网友投稿:这个大楼的事情起因我知晓一些,明明不想说,但是吧真的影响了很多人,原因真的很操蛋? 就是有几个傻逼喝了点马尿闹事和大楼保安吵起来,然后保安报警,伊斯兰堡警察过来处理了,这几个喝了马年的还要拿刀捅警察,事情慢慢扩大才成这个样子! #早帖新闻

👏1🔥1🥰1

17 Aug 2026, 03:49 UTC3 views3 reactionsread 17 August 2026
Photo

ChatGPT、Claude账号也会被盗,先检查陌生登录设备 #早帖新闻

👍1👏1🥰1

17 Aug 2026, 03:48 UTC4 views3 reactionsread 17 August 2026
Video

#网友投稿  妙瓦底电诈团伙疑转移“藏身地”!密林深处搭建新窝点,Starlink、太阳能设备齐全 据泰国边境媒体实地调查,8月8日,在缅甸妙瓦底地区,当地部分诈骗团伙疑似在遭受持续打击后,开始将活动据点向更加隐蔽的区域转移。 调查人员发现,瓦莱南村(Ban Walee Tai)附近的密林地带出现多处规模较大的建筑群。这些建筑隐藏在树林之中,建筑风格与此前被曝光的电诈窝点较为相似,现场还疑似有大量中国籍男子活动。 值得注意的是,部分建筑屋顶安装了大量Starlink卫星通信设备,同时配备大批太阳能板及发电机,供电和通信设施相对完善。当地手机及网络信号据称也较为稳定,为诈骗团伙持续进行网络活动提供了条件。 从卫星图像来看,类似建筑群仍在持续扩建,并逐渐向森林边缘延伸。分析认为,这种选址方式可能是为了利用密林环境增加隐蔽性,降低被发现和突袭的风险。 #早帖新闻

1👍1👏1

Showing the 12 most recent of 25 posts we hold for @ZaoTieTV. 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.

Mentions

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

“东南亚 早帖新闻 @ZaoTie” (@ZaoTieTV), 1,826 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/ZaoTieTV.

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.