#群友求助 #繁花糖水铺 身高:155cm 走失时间:2026 年 9 月 21 日下午 走失地点:老挝万象三江中国城附近 据她本人描述跟两个女孩子去老挝万象考察项目想做点小生意之类的,其中一个女孩子据她说叫雅雅(图一为雅雅飞机)据其他人告诉可能还有一个男生叫左左(小左图二图三)也跟她在一起。 家里人非常的着急,如有具体关于她同行人或知道她在老挝情况的请联系,拜托帮忙转发 🙏
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Channel
@baoguangqun999
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
37,189subscribers
-18,270 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002112394903 |
|---|---|
| Type | Channel |
| Username | @baoguangqun999 |
| Description | 🌏 飞机导航 🔍新闻热搜: @baoguangqun999 @baoguangqun110 🔍探讨群聊: @baoguang0099 ✍🏻内涵段子 吃瓜搞笑 @gaoxiao_pd #曝光 #悬赏 #骗子 #名字 ☎️曝光/商务: @TG1299 #柬埔寨 #菲律宾 #缅甸 #缅北 #迪拜 #泰国 新闻频道专注于全球华人最新动态资讯,海外华人求助,让你看尽海外华人大小事。! |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 24 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 24 September 2026 |
| On Telegram | t.me/baoguangqun999 |
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 75% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Sept 2026, 23:59 | 37,189 | -609 |
| 18 Sept 2026, 15:41 | 37,798 | -85 |
| 16 Sept 2026, 06:56 | 37,883 | -119 |
| 14 Sept 2026, 15:00 | 38,002 | -98 |
| 13 Sept 2026, 04:40 | 38,100 | -222 |
| 11 Sept 2026, 06:36 | 38,322 | -893 |
| 8 Sept 2026, 10:16 | 39,215 | -339 |
| 5 Sept 2026, 06:39 | 39,554 | -91 |
| 3 Sept 2026, 12:35 | 39,645 | -207 |
| 2 Sept 2026, 06:13 | 39,852 | -159 |
| 1 Sept 2026, 08:44 | 40,011 | -237 |
| 31 Aug 2026, 11:37 | 40,248 | -178 |
| 30 Aug 2026, 14:04 | 40,426 | -442 |
| 29 Aug 2026, 13:14 | 40,868 | -240 |
| 28 Aug 2026, 14:53 | 41,108 | -297 |
| 27 Aug 2026, 12:56 | 41,405 | -160 |
| 26 Aug 2026, 14:05 | 41,565 | -210 |
| 25 Aug 2026, 15:24 | 41,775 | -345 |
| 24 Aug 2026, 13:53 | 42,120 | -4,940 |
| 22 Aug 2026, 20:05 | 47,060 | first reading |
990 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 87 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 169 of 419 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 990 (7 August 2026 – 26 September 2026) |
| Views total | 885,809 |
| Reactions total | 276 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 15:04 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.
Lifetime counters from Telegram’s own channel header, read 26 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.
Measured directly from 213 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.
595 reactions across 333 posts, in 10 distinct kinds. The most used accounts for 13.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤩 | 78 | 13.1% | |
| ⚡ | 71 | 11.9% | |
| 😁 | 71 | 11.9% | |
| 🔥 | 70 | 11.8% | |
| 🎉 | 64 | 10.8% | |
| 👏 | 63 | 10.6% | |
| ❤ | 62 | 10.4% | |
| 🥰 | 62 | 10.4% | |
| 👍 | 53 | 8.91% | |
| 😢 | 1 | 0.168% |
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 336 of the 990 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 595 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 990 most recent posts we hold, published 7 August 2026 to 26 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.
#群友求助 #繁花糖水铺 身高:155cm 走失时间:2026 年 9 月 21 日下午 走失地点:老挝万象三江中国城附近 据她本人描述跟两个女孩子去老挝万象考察项目想做点小生意之类的,其中一个女孩子据她说叫雅雅(图一为雅雅飞机)据其他人告诉可能还有一个男生叫左左(小左图二图三)也跟她在一起。 家里人非常的着急,如有具体关于她同行人或知道她在老挝情况的请联系,拜托帮忙转发 🙏
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菲律宾新闻频道 pinned a photo
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#马来西亚 中国男子航班上偷钱包未遂!被罚 3000 令吉 ⚠️ 9 月 25 日,马来西亚槟城一名 55 岁中国籍男子因涉嫌在从印度尼西亚飞往槟城的航班上偷窃乘客钱包,被带上推事庭受审。 控方指控,陈帮军于 9 月 17 日在航班上企图从一名男子的背包内偷走钱包,但最终未能得手。案件援引马来西亚《刑事法典》第 379 条及第 511 条处理。被告通过中文翻译听取控状后当庭认罪。 辩方求情称,被告目前没有工作,羁押期间已经反省,且案件属于偷窃未遂,并未造成实际财物损失。 法庭最终判处他罚款 3000 令吉,若无法缴清,则以 3 个月监禁替代。
菲律宾新闻频道 pinned a video
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#产业新闻 两名中国人靠“#假苹果换真机”骗走 1620 万美元,主犯获刑 6 年半 美国司法部披露,一起持续近 9 年的跨境苹果产品诈骗案宣判。两名中国籍男子因组织使用假冒苹果设备骗取真机,被美国联邦法院分别判处 78 个月和 57 个月监禁。 案件造成苹果公司至少 1620 万美元损失,约合人民币 1.1 亿元。 调查显示,2015 年至 2024 年间,该团伙从中国向美国大量运送假冒 iPhone、iPad 等设备,并套用真实苹果产品的序列号和身份信息。 团伙成员随后带着这些假机前往南加州苹果直营店,谎称设备损坏或无法开机,利用系统识别到的真实序列号申请维修或换机。由于序列号对应的真机仍在保修或 AppleCare+ 期限内,部分假机最终被苹果换成真机。 得手后,团伙再将真机转卖,部分甚至运回中国销售。据调查,他们累计尝试向苹果退换超过 1.6 万台假冒设备,曾一天跑多达 10 家苹果店。 41 岁的黄某被认定…
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#网友曝光 #天行体育 #吴文聪 #米拉拉 原天行体育二部 2 组组长,外号飞机,群号机长,真名:吴文聪,女朋友叫米拉拉,工作号叫可可,两人既是同学又是情侣,狼狈为奸,私生活糜烂,欠公司钱不说,还坑下面员工工资,搞公司资源,带走公司所有会员,因下面普通员工没有选择同流合污,就各种威胁,恐吓,甚至煽动跟随跑路的人对其各种辱骂,骚扰!事情过去快一个月了,给足了耐心,一忍再忍,没想到这个垃圾加入 2028 之后,现在更是疯狂,不给会员出款,还让会员添加天行工作人的联系方式,对其辱骂才给出款,他妈的 2028 是你家开的,就这么纵容你这个垃圾放肆!其女朋友在泰国,也是垃圾,会员不跟她,就各种诋毁天行,你妈逼你有能耐正面拉会员,拉走算你本事,全用这种诋毁,污蔑的手段,只能说明你垃圾到极致!两人不仅坑下面员工的号钱,粉钱,连会员钱都坑,你个傻逼在乱喷,造谣污蔑,国内拿你护照去报警,包括你女朋友米拉拉(吴 **),拉菲(胡 **),十七(李…
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#柬埔寨新闻 “七星海乡长”咬出一人:一名移民警察违法获利超 20 万美元 柬埔寨国家反贪局今天通报,国公省基里萨科县七星海地区乡长廉伦涉嫌腐败及洗钱案的最新进展,指控移民警察培帕朋中尉涉案。 柬反贪局指出,培帕朋协助涉诈头目蔡友源及其团伙从德崇国际机场入境,并为包括黑名单人员在内的外籍人士违规办理商务、电子及旅游签证,以及提供 VIP 快速通关服务,每单收取 120 至 900 美元不等。在 2026 年 1 月至 6 月期间,培帕朋通过 301 起违规操作非法获利超过 20 万美元,并用于购买豪宅与车辆。 目前,金边市初级法院检方已对培帕朋以滥用职权罪、电诈共同犯罪及洗钱罪提起公诉。
Showing the 12 most recent of 990 posts we hold for @baoguangqun999. 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.
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 74 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 24 September 2026 — this entry's latest reading, not the date you are reading this.
“菲律宾新闻频道” (@baoguangqun999), 37,189 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/baoguangqun999.
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.