#上海 一夜之间上海变海上了,一觉醒来在海上了 ,黄浦江水倒灌 ,室内水灾现场、大暴雨引发的水漫大街 ,道路成河 #台风 #水灾 #国内新闻 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: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
25,526subscribers
+528 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001922891849 |
|---|---|
| Type | Channel |
| Usernames | @apenft @baoguang @chiguahui |
| 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 | 13 August 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/baoguang |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 00:15 | 25,526 | +82 |
| 12 Aug 2026, 06:55 | 25,444 | +44 |
| 12 Aug 2026, 02:46 | 25,400 | +16 |
| 11 Aug 2026, 22:55 | 25,384 | +47 |
| 11 Aug 2026, 07:54 | 25,337 | +38 |
| 10 Aug 2026, 23:41 | 25,299 | -4 |
| 10 Aug 2026, 21:38 | 25,303 | +2 |
| 10 Aug 2026, 08:11 | 25,301 | +19 |
| 10 Aug 2026, 02:41 | 25,282 | +3 |
| 10 Aug 2026, 00:55 | 25,279 | +53 |
| 9 Aug 2026, 08:12 | 25,226 | +14 |
| 9 Aug 2026, 00:52 | 25,212 | +6 |
| 8 Aug 2026, 23:53 | 25,206 | +26 |
| 8 Aug 2026, 11:18 | 25,180 | +59 |
| 7 Aug 2026, 21:58 | 25,121 | no change |
| 7 Aug 2026, 21:17 | 25,121 | +60 |
| 7 Aug 2026, 11:15 | 25,061 | +13 |
| 7 Aug 2026, 09:47 | 25,048 | +47 |
| 7 Aug 2026, 00:45 | 25,001 | no change |
| 7 Aug 2026, 00:35 | 25,001 | first reading |
Engagement
44 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 18 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.863%
- avg views ÷ 25,526 subscribers
- Avg views / post
- 220
- 44 posts measured
- Reaction rate
- 0.387%
- reactions ÷ views · ER floor
- Posts in window
- 44
- of 44 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 44 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 44 (3 August 2026 – 12 August 2026) |
| Views total | 9,698 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 22:26 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
- 7m 40s
- Average length
- 42s
Measured directly from 11 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 3 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 66.7% | |
| 👍 | 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 44 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 3 August 2026 to 12 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
#美女 #图片 选择困难 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
#台风 #恶劣天气 #水灾 #国内新闻 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
#币圈 #加密货币 #比特币 #BTC 【华人加密富豪30楼赤裸坠亡,女友称“不知情”】一个从比特币60美元时代一路赚到管理24亿美元资产的华人加密富豪,最后赤裸着从30楼坠下。8月7日凌晨,Quantum Fintech Group创始人Harry Yeh(Chun Tak Yeh)被发现死在巴拉圭首都亚松森Jade Park公寓楼下。现场留下不少疑点:遗体全身赤裸,上面盖着黑色塑料袋;30楼公寓大门敞开,屋内一片狼藉。 更微妙的是,当时在场的29岁巴西籍女友面对警方询问,只表示“什么都不知道”。警方随后发现,Yeh在同一栋楼27层还有另一套公寓,也已经进入搜证范围。目前意外、自杀和他杀三种可能都没有排除。 Yeh算是加密货币圈的早期玩家。2013年比特币还只有约60美元时就已经入场,后来把Quantum Fintech Group从250万美元做到管理资产超过24亿美元,还深度参与Fantom、Tomb Finance、…
❤1
#国内新闻 嘉善 #新能源 小鹏 #烧车 #火灾 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 #图片 #内涵 看看 👀 葡萄 🍇 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
睡觉了 #内涵 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
#狗推三字经: 背井离,走海外,听说东南能发财; 买张票,过边境,幻想翻身把钱挣; 白天熬,晚上累,手机屏幕陪到醉; 发话术,套感情,天天研究客户心; 盘总说,有机会,只要努力就起飞; 组长喊,别偷懒,月底业绩看排名; 你加粉,我聊天,一坐就是一整天; 假头像,假身份,编着故事骗人心; 客户哭,我也累,隔着屏幕流眼泪; 说爱你,说想你,全靠话术来维系; 你充值,我开心,你亏钱我也心惊; 赚快钱,走捷径,最后留下多少人? 园区里,灯通明,多少青春困其中; 没自由,没保障,手机电脑是战场; 工资拖,提成欠,多少人想要离开; 风光时,人潮涌,落幕后各自漂零; 反诈严,风向变,曾经热闹成云烟; 查公司,封账户,多少梦想被吹散; 有人回,有人跑,有人重新找方向; 年少梦,变现实,才知人生不容易; 不偷盗,不抢劫,只是走错一条路; 想赚钱,想改变,却被诱惑迷双眼; 如今醒,才明白,脚踏实地才长久; 别幻想,一夜富,人生还得靠自己…
#巴基斯坦 一窝 #狗推 被端!中国大使馆联合当地警方排查了位于Gulberg green的一栋办公大楼,据信扫描了在场所有人的护照并采集了生物信息! 目前已羁押在现场等待结果。目的是排查这些人的违法行为,涉案人员将会遣送回国处理。 ps: 据说这次柬埔寨去巴基斯坦的狗推大军有几万人 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
#裸聊 #诈骗 背后的真实套路曝光 很多人以为“裸聊诈骗”只是简单骗钱,实际上背后往往有一套完整的话术和流程。 面对威胁勒索,不要沉默,更不要继续转账,应及时保留证据并报警处理。网络世界没有免费的诱惑,所谓“艳遇”,很多时候只是骗子精心设计的陷阱。 ps:刚上飞机的小白最容易中招~~~~ 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
#网友投稿 距离上次投稿8个月了,马尼拉太难活了,已经离开马尼拉8个月了,每天也就跟邻居喝喝小酒,啥也没学到,就英语好点了,问问各位大老板有啥工作做的马尼拉,看仓库啥的接单也好,活在马尼拉的小虾米太难了。 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
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❤1
Showing the 12 most recent of 44 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.
Citation-graph rank
Citation-graph rank — 839,472 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 3 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.
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 13 August 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), 25,526 subscribers as measured 13 August 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.