天呐 这是哪家娃娃 吓死人了 #儿童 #高层 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
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Channel
@baoguang
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
27,866subscribers
+2,868 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| 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 | 8 September 2026 |
| Measurements held | 83 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/baoguang |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 08:18 | 27,866 | +11 |
| 8 Sept 2026, 02:55 | 27,855 | +596 |
| 5 Sept 2026, 16:01 | 27,259 | +225 |
| 5 Sept 2026, 00:21 | 27,034 | +1 |
| 4 Sept 2026, 22:16 | 27,033 | +68 |
| 3 Sept 2026, 18:15 | 26,965 | +10 |
| 3 Sept 2026, 10:06 | 26,955 | +15 |
| 3 Sept 2026, 06:46 | 26,940 | +37 |
| 2 Sept 2026, 13:13 | 26,903 | +22 |
| 2 Sept 2026, 04:55 | 26,881 | -2 |
| 2 Sept 2026, 02:06 | 26,883 | +31 |
| 1 Sept 2026, 15:48 | 26,852 | +69 |
| 1 Sept 2026, 07:38 | 26,783 | no change |
| 1 Sept 2026, 01:04 | 26,783 | +37 |
| 31 Aug 2026, 14:13 | 26,746 | +15 |
| 31 Aug 2026, 07:58 | 26,731 | +10 |
| 31 Aug 2026, 03:27 | 26,721 | -8 |
| 30 Aug 2026, 17:24 | 26,729 | -1 |
| 30 Aug 2026, 11:06 | 26,730 | +92 |
| 30 Aug 2026, 04:11 | 26,638 | first reading |
167 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 59 pages of Telegram’s post history, 20 posts per page.
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 20 of 136 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 167 (3 August 2026 – 2 September 2026) |
| Views total | 31,610 |
| Reactions total | 18 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:00 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.
Measured directly from 60 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.
22 reactions across 19 posts, in 6 distinct kinds. The most used accounts for 59.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 59.1% | |
| 👎 | 3 | 13.6% | |
| 🍌 | 2 | 9.09% | |
| 👍 | 2 | 9.09% | |
| 💔 | 1 | 4.55% | |
| 🤮 | 1 | 4.55% |
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 25 of the 167 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 22 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 167 most recent posts we hold, published 3 August 2026 to 2 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.
天呐 这是哪家娃娃 吓死人了 #儿童 #高层 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
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8月31日 成都玛莎拉蒂轿车起火🔥哦豁,这可是油车的哇😯 油车 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
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#网友投稿:一位在西港做夜场的泰国小姐姐反映, 昨晚在KTV的厕所给一位中国男士口交,结果今天口腔就发炎了,不知道是遇到哪位大神了。估计平时就很喜欢被吃屌寻刺激,到处玩,被交叉感染了。这位小姐姐不好彩,就中招了。 各位兄弟姐妹们,在东南亚,不熟悉的屌别乱吃,不熟悉的逼也别乱舔,否则下一个可能就轮到你了😂 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
#小姐姐吐槽 #搞笑 :自从东南亚开始严打之后真的大环境是越来越差了,今晚遇到一个客人,裤子刚脱我刚给他口了三下就秒射了,真的就三下,不多也不少。 完了之后,这王八蛋开始心疼钱了,让我退钱给他,和我扯一大堆乱七八糟的话,还没开始做之前还和我吹牛逼说自己曾在柬埔寨妙瓦底老挝泰国闯荡过,结果自己秒射之后又变了个嘴脸,真是丢干灰产的脸! 我也真是第一次遇到这种人,难道现在经济真的不景气成这样了?以前这些干灰产的都很大方,现在怎么这样子? Ps:太快了 接受不了现实 估计是在园区的时候天天打飞机落下了病根 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
打击电诈影响柬埔寨经济?官方:只有灰产受影响 #柬埔寨 持续打击电诈,不少电诈聚集区明显冷清。对此,柴桢省副省长孟英(Men Eng)表示,打击行动不会影响正常的“白色经济”,真正受到冲击的主要是依附电诈生存的“灰色产业”。 据《湄公河独立报》报道:位于柬越边境的柴桢省巴域市(木牌)是柬埔寨主要电诈聚集地之一,遍布赌场和酒店园区,是仅次于西港的柬埔寨主要的电诈中心之一。今年1月开始,当地大量人员撤离,一度出现混乱场面。 一些食品摊贩、出租车司机、建筑工人以及其他依靠电诈周边经济谋生的人曾表示,当地经济随着电诈产业迅速扩张而繁荣,也随着打击行动和园区关闭而迅速衰退。 但柴桢副省长孟英称:打击电诈并没有给正常经济带来什么影响。“大家也不用太担心,那些真正觉得受影响的兄弟姐妹基本都是靠灰产吃饭的。” 孟英称,柴桢省共有13个经济特区,其中12个不存在电诈活动,每年创造约5亿美元产值。但他没有说明第13个经济特区的情况。 他…
#柬埔寨 全国单日侦破29起毒品案件,172名嫌疑人被控制 8月31日,柬埔寨执法部门公布全国禁毒行动数据,当天共侦破29起涉毒案件,控制嫌疑人172人。 其中,毒品贩运案件4起,抓获31人;运输、持有毒品案件13起,抓获27人;吸食毒品案件8起,涉及114人。 官方数据显示,今年1月1日至8月31日,柬埔寨全国累计侦破涉毒案件7347起,共抓获19652人,其中女性1342人。 目前,各地执法部门仍在持续推进禁毒行动,并对相关案件中的毒品来源、运输路线及上下游人员展开进一步调查。 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
#美女 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
【2028体育】#东南亚顶级高爆电子台 ❗️巨额出款无忧❗️ ⚡️⚡️⚡️⚡️⚡️⚡️🤐😧⚡️⚡️⚡️⚡️⚡️ #东南亚盘总首选最权威综合台,TG全网最大信誉平台。 ⚡️2028体育 2028265.com TG最大信誉平台! ⚡️8K国际U台 8k3111.com 福利好超高爆率! #大户首选 支持任意平台vip等级平移,平台支持 USDT 👌 微信 👌 支付宝 K豆等100多种钱包,首复存均送每日存每日送。 ⚡️⚡️⚡️⚡️😀😀😀😀😀😀😀😀😀 🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈 🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈 😫 赌神再现: 百家乐视讯收割机 恭喜大佬一天狂揽2500万 😫 PG麻将2:神秘大佬PG麻将胡了 2万一拉 爆出巨奖3400万 😫PG麻将1:日本老板PG电子麻将1爆奖单笔提款2000万 【2028体育】丨全网福利天花板】 首存送 复存送 投注送 豪车嫩模! 电子黄金周 周一至周日福利…
#网友投稿 :来 #非洲 3个月了,昨天终于开单了,晚上找了个乌鸡补补,这几个月下来憋死了,一晚上3次,后劲太大,到现在走路腿都有点发抖。 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
#金边 一女子纸飞机上约炮,失身又丢财! 金边一名年轻女子通过Telegram结识一名男子,并同意在客栈首次线下见面。双方饮用啤酒期间,女子随后醉酒并失去意识。 据指控,该男子乘机行不轨之举,并盗走其一部iPhone 17 Pro Max及部分首饰(总价值近2,000美元)后逃之夭夭。 此案引发社会关注,警方再次提醒大家,切勿轻信社交媒体上的陌生人,网恋线下见面须提高警惕。 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
#埃及 一伙人上演《速度与激情》式劫车 6人以极其“大片”的方式,抢走了105公斤冷冻鸡肉。 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
被困在隧道内的人员与进入隧道展开救援的人员之间的距离正在不断缩短。 由 #尼泊尔 军队第1灾害管理营(Disaster Management Battalion)、武装警察部队、尼泊尔警察以及尼泊尔技术人员组成的救援队,已经成功找到上特里苏里3A水电站(Upper Trishuli 3A)的隧道入口。 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
Showing the 12 most recent of 167 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.
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.
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.
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.
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.
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 8 September 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), 27,866 subscribers as measured 8 September 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.