#搞笑 进货 关注全网曝光频道 @baoguang 点击加入TG灰产群 表情包GIF ----------------------------------- 🎈️灰产社区 🎈自动黄片频道 🎈搜索频道 🎈黑产项目供需 🎈能量租用 🎈监测U机器人 🔥币圈资讯 🎲TG骰子博彩

Channel
曝光骗局-大事件频道-吃瓜搞笑-东南亚新闻
@baoguang
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
32,224subscribers
+7,226 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001922891849 |
|---|---|
| Type | Channel |
| Usernames | @apenft @baoguang @chiguahui |
| Description | #搞笑视频 #美女视频 #新闻 #吃瓜 #曝光 灰产社区 @huichan 🗝集团旗下资源群组🗝 项目供需 @xiangmu 币圈资讯 @jinse 发片频道 @tanhua 中文搜索 @pindao 查U余额机器人 @jcbot 表情包群 @biaoqing TRX能量机器人 @zhiyabot 赌狗钱包 @dugou |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 October 2026 |
| Measurements held | 143 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.me/baoguang |
Topic
Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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 |
|---|---|---|
| 25 Oct 2026, 08:19 | 32,224 | +17 |
| 25 Oct 2026, 00:27 | 32,207 | no change |
| 24 Oct 2026, 23:59 | 32,207 | +56 |
| 24 Oct 2026, 06:19 | 32,151 | -8 |
| 24 Oct 2026, 00:36 | 32,159 | -4 |
| 23 Oct 2026, 23:54 | 32,163 | +32 |
| 23 Oct 2026, 07:21 | 32,131 | +1 |
| 23 Oct 2026, 01:18 | 32,130 | -7 |
| 22 Oct 2026, 21:28 | 32,137 | +1 |
| 22 Oct 2026, 07:35 | 32,136 | -22 |
| 22 Oct 2026, 01:27 | 32,158 | +10 |
| 21 Oct 2026, 16:56 | 32,148 | +32 |
| 21 Oct 2026, 02:27 | 32,116 | +3 |
| 20 Oct 2026, 17:08 | 32,113 | +3 |
| 20 Oct 2026, 16:09 | 32,110 | +184 |
| 20 Oct 2026, 00:10 | 31,926 | +16 |
| 19 Oct 2026, 17:34 | 31,910 | -149 |
| 19 Oct 2026, 14:05 | 32,059 | +10 |
| 18 Oct 2026, 22:26 | 32,049 | -6 |
| 18 Oct 2026, 16:28 | 32,055 | first reading |
Engagement
382 posts held, back to 3 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 127 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.743%
- avg views ÷ 32,224 subscribers
- Avg views / post
- 240
- 170 posts measured
- Reaction rate
- 0.379%
- reactions ÷ views · ER floor
- Posts in window
- 170
- of 382 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 48 of 170 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 October 2026 |
|---|---|
| Posts held | 382 (3 August 2026 – 25 October 2026) |
| Views total | 40,722 |
| Reactions total | 49 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 15:50 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
- ≈4,220
- Videos
- ≈4,030
- Links
- ≈5,420
Lifetime counters from Telegram’s own channel header, read 25 October 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
- 3h 42m
- Average length
- 1m 27s
Measured directly from 154 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
116 reactions across 101 posts, in 11 distinct kinds. The most used accounts for 46.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 54 | 46.6% | |
| 👍 | 13 | 11.2% | |
| 👎 | 9 | 7.76% | |
| 👏 | 8 | 6.90% | |
| 💔 | 8 | 6.90% | |
| ❤🔥 | 6 | 5.17% | |
| 👌 | 6 | 5.17% | |
| 🔥 | 6 | 5.17% | |
| 🍌 | 4 | 3.45% | |
| 🤡 | 1 | 0.862% | |
| 🤮 | 1 | 0.862% |
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 114 of the 382 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 116 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 382 most recent posts we hold, published 3 August 2026 to 25 October 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
#搞笑 真的吗?? 有个学医的女朋友 关注全网曝光频道 @baoguang 点击加入TG灰产群 表情包GIF ----------------------------------- 🎈️灰产社区 🎈自动黄片频道 🎈搜索频道 🎈黑产项目供需 🎈能量租用 🎈监测U机器人 🔥币圈资讯 🎲TG骰子博彩
#马来西亚 资讯:柔佛州警方突袭7处诈骗窝点,15人被捕,涉假投资、色情聊天及爱情诈骗 据10月23日报道,柔佛州警方近日展开大规模突击行动,先后搜查至少7处场所,捣毁多个涉嫌经营诈骗呼叫中心的团伙,共逮捕15名嫌疑人,包括13名男子和2名女子,年龄介于20岁至40岁之间。 关注全网曝光频道 @baoguang 点击加入TG灰产群 表情包GIF ----------------------------------- 🎈️灰产社区 🎈自动黄片频道 🎈搜索频道 🎈黑产项目供需 🎈能量租用 🎈监测U机器人 🔥币圈资讯 🎲TG骰子博彩
❤1
SpaceX 10月22日对外确认:切断 #缅甸 电诈园区2500台星链卫星网络 SpaceX副总裁10月22日对外披露,公司识别缅甸多个电诈园区周边超过2500台星链接收设备,远程关停卫星互联网服务。 缅甸边境电诈园区地处山区,常规光纤网络难以覆盖,长期依靠星链维持网络,支撑电诈、网赌业务。此前缅甸军方突击妙瓦底KK园区,现场查获30套星链设备。 断网之后,多个边境诈骗园区网络通信受到严重影响,诈骗分子无法稳定上线开展话术诈骗、资金转账沟通。跨国科技企业配合打击边境涉诈网络基础设施,对跨境电诈形成打击。 关注全网曝光频道 @baoguang 点击加入TG灰产群 表情包GIF ----------------------------------- 🎈️灰产社区 🎈自动黄片频道 🎈搜索频道 🎈黑产项目供需 🎈能量租用 🎈监测U机器人 🔥币圈资讯 🎲TG骰子博彩
❤1
#金边 7个联合检查组突查23处工作场所,检查165名外籍劳工 金边外国劳工监察部门派出7个联合检查组,前往当地多家公司、工厂及企业开展外国劳工用工检查,共检查23处场所。 检查涉及正在工作的外籍劳工共165人,其中女性62人,来自15个不同国家。 关注全网曝光频道 @baoguang 点击加入TG灰产群 表情包GIF ----------------------------------- 🎈️灰产社区 🎈自动黄片频道 🎈搜索频道 🎈黑产项目供需 🎈能量租用 🎈监测U机器人 🔥币圈资讯 🎲TG骰子博彩
国际货币基金组织警告电诈黑钱渗透 #柬埔寨 银行体系 针对国际社会清除金融体系黑钱的压力,柬埔寨国家银行(NBC)发表声明,指责有心人士在社交媒体散布“多家银行面临倒闭”的“虚假谣言”,试图对柬进行“经济破坏”。然而,国际货币基金组织(IMF)、美国及英国财政部均对柬埔寨银行业涉及电诈洗钱提出严厉警告。 过去一年,美英相继对多家涉嫌为网络诈骗洗钱的柬埔寨金融机构实施制裁,包括太子集团旗下的太子银行(Prince Bank)、汇旺支付(Huione Pay)及恒丰银行等。尽管NBC已撤销其中6家违规银行的牌照,但IMF指责其整顿工作极为有限,敦促柬方切断犯罪团伙与银行的联系。 目前,至少有两家与被指控涉诈大亨相关的银行仍持有NBC牌照合法运营:包括被美国制裁的国会议员符国安的Anco专业银行,以及涉嫌在泰国洗钱近5.9亿美元的大亨严利担任主席的iBank(原B.I.C银行)。安全专家表示,这些受制裁或面临逮捕令的人士仍能控制…
#搞笑 忘本发财 关注全网曝光频道 @baoguang 点击加入TG灰产群 表情包GIF ----------------------------------- 🎈️灰产社区 🎈自动黄片频道 🎈搜索频道 🎈黑产项目供需 🎈能量租用 🎈监测U机器人 🔥币圈资讯 🎲TG骰子博彩
#搞笑 关注全网曝光频道 @baoguang 点击加入TG灰产群 表情包GIF ----------------------------------- 🎈️灰产社区 🎈自动黄片频道 🎈搜索频道 🎈黑产项目供需 🎈能量租用 🎈监测U机器人 🔥币圈资讯 🎲TG骰子博彩
#KTV #大爷 #搞笑视频 关注全网曝光频道 @baoguang 点击加入TG灰产群 表情包GIF ----------------------------------- 🎈️灰产社区 🎈自动黄片频道 🎈搜索频道 🎈黑产项目供需 🎈能量租用 🎈监测U机器人 🔥币圈资讯 🎲TG骰子博彩
四川德阳。绵竹市网友爆料:太吓人了,隧道里面超车?!你这是犯罪! #逆行 隧道 超车 #命大 虚惊一场 #车祸 关注全网曝光频道 @baoguang 点击加入TG灰产群 表情包GIF ----------------------------------- 🎈️灰产社区 🎈自动黄片频道 🎈搜索频道 🎈黑产项目供需 🎈能量租用 🎈监测U机器人 🔥币圈资讯 🎲TG骰子博彩
今天一架俄罗斯空天军 Su-30SM 战斗机在加里宁格勒州切尔尼亚霍夫斯克市附近执行例行训练飞行任务时坠毁。 俄罗斯国防部称,两名飞行员均成功弹射逃生,并由地面搜救队接回。 关注全网曝光频道 @baoguang 点击加入TG灰产群 表情包GIF ----------------------------------- 🎈️灰产社区 🎈自动黄片频道 🎈搜索频道 🎈黑产项目供需 🎈能量租用 🎈监测U机器人 🔥币圈资讯 🎲TG骰子博彩
养老金 还能拿到吗 ?#社会百态 关注全网曝光频道 @baoguang 点击加入TG灰产群 表情包GIF ----------------------------------- 🎈️灰产社区 🎈自动黄片频道 🎈搜索频道 🎈黑产项目供需 🎈能量租用 🎈监测U机器人 🔥币圈资讯 🎲TG骰子博彩
❤1
Showing the 12 most recent of 382 posts we hold for @baoguang. 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
Named by 6 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.
@biaoqing · 1,184357 posts灰产社区│狗推大队│海外黑产USDT交流群
@huichan · 35,981356 posts金色财经|币圈新闻|资讯频道|行情推送
@jinse · 906356 posts搜索频道-中文频道-频道群组
@pindao · 9,128356 posts探花 《司机不迷路》
@tanhua · 426356 posts灰产供需-项目推广-全网发布广告
@xiangmu · 10,260356 posts2G官方频道
@GF2Gcom · 2443 posts2028122.COM- 2028体育官方频道
@pg115 · 15,7342 posts2028234.COM-2028体育官方频道
@pg121 · 9,6012 posts8K国际官方
@PG8K8K · 3,4522 posts122体育-官方频道
@tz228 · 6,6462 postsGoodSMS 全球接码
@goodsms · 1,0141 post182体育-官方频道
@TY_182 · 1,8571 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@toutiaoshijian · 67,610#1
@tx100 · 150,502#2
@feilongwang · 76,584#3
@hgwzcd · 246,946#4
@chigua_e · 224,980#5
@bx666 · 463,020#6
@neihanduanzi · 894#7
@dushen500 · 27,658#8
@dogs · 6,637,472#9
Read from Telegram’s recommendation API, most recently 10 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@xinwen1 · 107,706
Telegram ranks this channel #35 of 70 here — alongside 69 others — read 18 August 2026
@chiguak · 71,201
Telegram ranks this channel #36 of 46 here — alongside 45 others — read 23 August 2026
@pdsss · 55,345
Telegram ranks this channel #45 of 51 here — alongside 50 others — read 23 August 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“曝光骗局-大事件频道-吃瓜搞笑-东南亚新闻” (@baoguang), 32,224 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/baoguang.
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.