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Channel
今日东南亚 大曝光 新闻头条
@xindibai
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
14,054subscribers
-7,380 since we began measuring on 17 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001206216977 |
|---|---|
| Type | Channel |
| Username | @xindibai |
| Description | #缅甸 #柬埔寨 #菲律宾 #迪拜 #东南亚 商务投稿联系; @huichantoug 📢官方频道: @huichanxinwenshe 🚨曝光频道: @nybaog8 🇨🇳海外动态: @Dnybaog1 👥华人交流: @NY80099 📢福利频道: @HTxinwen2 🔥 全方位多系列覆盖,抢占市场先机!立即预订您的专属广告位! @huichantoug 勇于揭发!拒绝诋毁! 为了保护投稿者的信息,本频道是匿名投稿。如被恶意举报,请联系通过发帖澄清! |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 17 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 49 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/xindibai |
Topic
National 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 29% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 00:50 | 14,054 | -130 |
| 5 Nov 2026, 22:48 | 14,184 | -286 |
| 4 Nov 2026, 20:54 | 14,470 | -318 |
| 3 Nov 2026, 19:39 | 14,788 | -47 |
| 2 Nov 2026, 22:06 | 14,835 | -63 |
| 1 Nov 2026, 18:58 | 14,898 | -234 |
| 31 Oct 2026, 18:31 | 15,132 | -277 |
| 30 Oct 2026, 21:18 | 15,409 | -296 |
| 29 Oct 2026, 19:58 | 15,705 | -292 |
| 28 Oct 2026, 21:07 | 15,997 | -308 |
| 27 Oct 2026, 22:10 | 16,305 | -176 |
| 26 Oct 2026, 18:27 | 16,481 | -275 |
| 25 Oct 2026, 16:58 | 16,756 | -164 |
| 24 Oct 2026, 15:48 | 16,920 | -178 |
| 23 Oct 2026, 15:51 | 17,098 | -115 |
| 22 Oct 2026, 15:28 | 17,213 | -130 |
| 21 Oct 2026, 10:58 | 17,343 | -85 |
| 20 Oct 2026, 06:45 | 17,428 | -55 |
| 19 Oct 2026, 07:21 | 17,483 | -53 |
| 18 Oct 2026, 10:06 | 17,536 | first reading |
Engagement
281 posts held, back to 15 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 40 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 13.6%
- avg views ÷ 14,054 subscribers
- Avg views / post
- 1,910
- 73 posts measured
- Reaction rate
- 0.429%
- reactions ÷ views · ER floor
- Posts in window
- 80
- of 281 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 1 of 73 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 281 (15 August 2026 – 7 November 2026) |
| Views total | 139,350 |
| Reactions total | 12 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 06:06 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
- ≈7,660
- Videos
- ≈15,800
- Links
- ≈19,900
Lifetime counters from Telegram’s own channel header, read 7 November 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
- 40m 24s
- Average length
- 29s
Measured directly from 83 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
12 reactions across 1 post, in 5 distinct kinds. The most used accounts for 33.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 4 | 33.3% | |
| 👍 | 3 | 25.0% | |
| ❤ | 2 | 16.7% | |
| 🥰 | 2 | 16.7% | |
| 🎉 | 1 | 8.33% |
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 1 of the 281 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 281 most recent posts we hold, published 15 August 2026 to 7 November 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
Telegram’s own ‘edited’ marker: 0 of 80 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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今日东南亚 大曝光 新闻头条 pinned a photo
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Showing the 12 most recent of 281 posts we hold for @xindibai. 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.
@CJpc28 · 2,959196 posts东南亚/海外灰产/新闻事件
@Dnybaog1 · 20,039175 posts91,偷拍,福利姬,主播喷水
@HTxinwen2 · 31,394175 posts东南亚社区 娱乐交流群
@NY80099 · 8,276175 posts东南亚大事件 缅北悬赏曝光新闻
@nybaog8 · 35,934175 postsX9 sports 体育大神推单
@x9fun · 84623 postsX9 bet 体育
@x9sportsty1 · 45,37623 postsx9sports 观战频道
@x9tygzpd · 1,65723 posts超级28客服频道
@CJPC28KEFU · 4021 posts金尊飞投活动 ⚽️
@JZFTHD · 50521 postsOkpay💰
@okpay · 164,23621 posts威尼斯人-官方招商
@wnsgg · 41616 posts澳门新葡京娱乐综合盘欢迎您~
@wnsjj · 10116 posts威尼斯人-优惠活动
@wnsrhd · 27516 posts索引机器🔍@SYJQ
@suobot · 633,5773 posts索引机器🔍@SYJQ
@syjq · 750,8233 posts超级引擎🔍 @CJYQ
@cjyq · 1,254,0792 posts头条事件
@toutiaoshijian · 66,8432 posts东南亚头条曝光㊖
@bg888 · 317,8931 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@xindibai named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 14 posts, 19 August 2026 – 3 September 2026
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 November 2026 — this entry's latest reading, not the date you are reading this.
“今日东南亚 大曝光 新闻头条” (@xindibai), 14,054 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/xindibai.
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.