全网曝光 pinned a video

Channel
全网曝光
@baoguangdashijian
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
61,851subscribers
+21,726 since we began measuring on 21 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001722551214 |
|---|---|
| Type | Channel |
| Usernames | @baoguangdashijian @quanwangbaoguang |
| Description | 全网曝光频道,发布 #菲律宾 #柬埔寨 #泰国 #迪拜 #东南亚 等国家与华人相关新闻,包括博彩业资讯、便民讯息。 商务,投稿 : @uuuui1 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 21 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 40 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/baoguangdashijian |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 57% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 12:15 | 61,851 | -1,049 |
| 18 Sept 2026, 00:41 | 62,900 | -90 |
| 17 Sept 2026, 03:59 | 62,990 | +11,410 |
| 15 Sept 2026, 19:58 | 51,580 | +3,172 |
| 15 Sept 2026, 03:00 | 48,408 | +1,753 |
| 14 Sept 2026, 05:19 | 46,655 | -248 |
| 13 Sept 2026, 12:01 | 46,903 | -875 |
| 12 Sept 2026, 12:22 | 47,778 | -510 |
| 11 Sept 2026, 17:15 | 48,288 | -504 |
| 10 Sept 2026, 09:57 | 48,792 | -551 |
| 9 Sept 2026, 05:01 | 49,343 | -881 |
| 7 Sept 2026, 01:18 | 50,224 | -799 |
| 5 Sept 2026, 23:58 | 51,023 | +15,015 |
| 4 Sept 2026, 10:16 | 36,008 | +3,013 |
| 3 Sept 2026, 18:19 | 32,995 | -518 |
| 2 Sept 2026, 23:37 | 33,513 | -235 |
| 2 Sept 2026, 13:25 | 33,748 | -529 |
| 1 Sept 2026, 23:06 | 34,277 | -314 |
| 1 Sept 2026, 10:46 | 34,591 | -891 |
| 31 Aug 2026, 21:57 | 35,482 | first reading |
Engagement
492 posts held, back to 20 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 66 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.868%
- avg views ÷ 61,851 subscribers
- Avg views / post
- 537
- 376 posts measured
- Reaction rate
- 0.247%
- reactions ÷ views · ER floor
- Posts in window
- 419
- of 492 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 16 of 376 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 23 September 2026 |
|---|---|
| Posts held | 492 (20 August 2026 – 23 September 2026) |
| Views total | 201,908 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Sept 2026, 05:05 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
- ≈34,300
- Videos
- ≈5,820
- Links
- ≈4,450
Lifetime counters from Telegram’s own channel header, read 23 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
- 1h 15m
- Average length
- 32s
Measured directly from 140 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
15 reactions across 15 posts, in 8 distinct kinds. The most used accounts for 20.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 20.0% | |
| ⚡ | 2 | 13.3% | |
| 🎉 | 2 | 13.3% | |
| 👏 | 2 | 13.3% | |
| 🔥 | 2 | 13.3% | |
| 🥰 | 2 | 13.3% | |
| 👍 | 1 | 6.67% | |
| 😁 | 1 | 6.67% |
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 16 of the 492 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 15 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 492 most recent posts we hold, published 20 August 2026 to 23 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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#网友爆料:前公司,公司名聚兴,坐标巴域木牌,盛世恒河三期。后搬到AI港,解散后现在位于马来西亚。 我先联系前公司股东兼代理,后听说他回国被抓,然后我便联系前公司老板天道。天道得知消息后,飞机直接弃用不上线。 这种行为让我感觉到非常的愤怒。本人在公司工作兢兢业业,做事从来不打马虎,没想到公司在解散之时背刺我,工资不发也罢,后带着我的客户跑去马来西亚开了几十万U,没给我一分钱。联系你也视而不见。 我希望你看见这个帖子后自己联系我,要不然下一步就会把你的资料、照片全部曝光,并发布给中国警方。 🕯订阅全网曝光 ↓ 📱@quanwangbaoguang 投稿爆料: @uuuui1
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全网曝光 pinned a video
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#国内资讯 闲鱼暗藏涉黄产业链,涉及未成年少女 据河北经视报道,闲鱼平台上至今仍暗藏涉黄产业链,记者在调查中发现,一些客服的个人信息中赫然写着“处宝可约”四个字,经进一步沟通确认,这些可供“预约”的女孩大多是未成年人,年龄最小的仅14岁。 从媒体记者调查的情况来看,这条涉黄产业链的运作模式并不复杂。商家以“模特上门约拍”“上门健身”等旗号发布商品,配图清一色是女性照片,通过隐晦暗示将用户引导至线下或私域进行交易。 更有甚者,以“游泳教学”为幌子出售引流视频,引导用户扫码加群,进群后便能收到明码标价的“课程表”,上门特殊服务赫然在列,14岁的未成年人被当作“商品”标价。客服甚至声称“支持带到三甲医院认证”。 闲鱼涉黄问题不是第一次了。近些年,闲鱼多次因“擦边涉黄”被曝光、被约谈,但问题始终未能根除。2024年,以“二手空调”“捷安特”“苹果取卡针”等为暗号的色情交易引发广泛关注;今年6月,闲鱼又被曝售卖未成年少女裸体写…
全网曝光 pinned a photo
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全网曝光 pinned a video
Showing the 12 most recent of 492 posts we hold for @baoguangdashijian. 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.
Posts edited after publishing
@baoguangdashijian edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 10 September 2026
- Most recent edit
- 10 September 2026
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.
@www8tcom · 41,00428 posts8K国际官方
@PG8K8K · 3,87122 posts【2028126.com】赌王之王
@pgdzr · 7,38116 posts8k3008.com- 8K国际官方频道
@vip8k66 · 5,9248 postsY3国际娱乐城官方频道
@Y3GJ9 · 5,8698 posts2028234.COM-2028体育官方频道
@pg121 · 10,9987 postsSOSO搜搜
@sooo · 541,1152 postsSOSO搜搜🔞
@SosoCnBot · 212,7442 postsTẶNG CODE 68k-VN888
@megawin88Mbot · 41,1941 postN1娱乐城-赌王之王
@N1YLC8 · 6,2101 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“全网曝光” (@baoguangdashijian), 61,851 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/baoguangdashijian.
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.