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Channel
曝光社区~新闻 爆料 娱乐 生活资讯
@baoguangsq
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
83,225subscribers
+31,450 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 | -1002311012996 |
|---|---|
| Type | Channel |
| Username | @baoguangsq |
| Description | #柬埔寨 #金三角特区 #缅甸 #泰国 #迪拜 #菲律宾 #东南亚 #交流群 全网曝光-聚焦时事 频道专注于东南亚华人最新动态资讯,让你看尽海外华人大小事。 本频道工作人员不会主动私聊任何飞机用户! 🈲 止私自发广告 🈲 止发送招聘信息 🌴新闻投稿: @ailin980412 🌴广告招商: @ailin980412 🌴福利姬🔞: @fulishequ6 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/baoguangsq |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 20:00 | 83,225 | -552 |
| 4 Sept 2026, 19:00 | 83,777 | -463 |
| 3 Sept 2026, 00:58 | 84,240 | -357 |
| 2 Sept 2026, 02:16 | 84,597 | -243 |
| 1 Sept 2026, 05:36 | 84,840 | -315 |
| 31 Aug 2026, 04:53 | 85,155 | -360 |
| 30 Aug 2026, 07:35 | 85,515 | -214 |
| 29 Aug 2026, 05:47 | 85,729 | -313 |
| 28 Aug 2026, 06:24 | 86,042 | -207 |
| 27 Aug 2026, 05:14 | 86,249 | -203 |
| 26 Aug 2026, 04:57 | 86,452 | -346 |
| 25 Aug 2026, 04:15 | 86,798 | -318 |
| 24 Aug 2026, 01:52 | 87,116 | -492 |
| 22 Aug 2026, 06:45 | 87,608 | +10,162 |
| 20 Aug 2026, 18:52 | 77,446 | -649 |
| 19 Aug 2026, 22:08 | 78,095 | -305 |
| 18 Aug 2026, 20:46 | 78,400 | -334 |
| 17 Aug 2026, 18:23 | 78,734 | -467 |
| 16 Aug 2026, 16:04 | 79,201 | +11,778 |
| 15 Aug 2026, 03:15 | 67,423 | first reading |
Engagement
717 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 70 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.584%
- avg views ÷ 83,225 subscribers
- Avg views / post
- 486
- 634 posts measured
- Reaction rate
- 0.186%
- reactions ÷ views · ER floor
- Posts in window
- 634
- of 717 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 7 of 634 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 September 2026 |
|---|---|
| Posts held | 717 (7 August 2026 – 9 September 2026) |
| Views total | 308,037 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Sept 2026, 07:41 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
- ≈31,000
- Videos
- ≈5,900
- Links
- ≈8,410
Lifetime counters from Telegram’s own channel header, read 9 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
- 2h 30m
- Average length
- 34s
Measured directly from 265 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 reactions across 6 posts, in 5 distinct kinds. The most used accounts for 33.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 33.3% | |
| ❤🔥 | 1 | 16.7% | |
| 👍 | 1 | 16.7% | |
| 💔 | 1 | 16.7% | |
| 🔥 | 1 | 16.7% |
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 7 of the 717 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 717 most recent posts we hold, published 7 August 2026 to 9 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
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Photo, posted without a caption
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Showing the 12 most recent of 717 posts we hold for @baoguangsq. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 4 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.
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.
@daDchigua · 17,815444 posts人妻反差熟女乱伦🔞
@Kanmimi · 17,927444 posts缅甸风景 | မြန်မာရှုခင်း
@MyanMar980412 · 72,718444 postsUW99 友赢国际官方频道 🕹
@uw99wxyj · 1,36347 postsU8国际平台
@U8Linwu001 · 9929 posts8K国际官方
@PG8K8K · 4,16927 posts超级引擎🔍 @CJYQ
@cjyq · 995,3143 postsSpam Info Bot
@SpamBot · 34,079,1351 post东南亚大事件-ww222
@ww222 · 140,8511 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.
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.
“曝光社区~新闻 爆料 娱乐 生活资讯” (@baoguangsq), 83,225 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/baoguangsq.
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.