#网友反馈:老挝万象三江盛大门口这条街有很多当地的警察,现场各种拦车,连电瓶车都拦下来检查,大家注意安全,没有证件的,不要出来了。 IP游戏中心 ﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎ 📣 订阅东南亚新闻曝光频道 ↓ 🔗 https://t.me/+_e6tGktgt700NTc0 😍投稿澄清爆料: @sdbg2022
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Channel
@bbqyinliu888
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
127,371subscribers
+63,693 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001504552152 |
|---|---|
| Type | Channel |
| Username | @bbqyinliu888 |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/bbqyinliu888 |
International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 12 August 2026 and assigned it the closest of 31 fixed categories, at 53% 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 |
|---|---|---|
| 12 Aug 2026, 20:03 | 127,371 | +39,806 |
| 11 Aug 2026, 23:02 | 87,565 | +24,684 |
| 10 Aug 2026, 21:28 | 62,881 | -50 |
| 10 Aug 2026, 00:28 | 62,931 | -712 |
| 8 Aug 2026, 22:05 | 63,643 | -35 |
| 8 Aug 2026, 20:47 | 63,678 | first reading |
134 posts held, back to 8 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 11 pagesof 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 111 of 124 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 | 134 (8 August 2026 – 12 August 2026) |
| Views total | 2,543 |
| Reactions total | 2,056 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:53 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 41 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.
2,056 reactions across 111 posts, in 4 distinct kinds. The most used accounts for 26.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 538 | 26.2% | |
| 👍 | 527 | 25.6% | |
| 🔥 | 508 | 24.7% | |
| ❤ | 483 | 23.5% |
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 111 of the 134 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 2,056reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 134 most recent posts we hold, published 8 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.
#网友反馈:老挝万象三江盛大门口这条街有很多当地的警察,现场各种拦车,连电瓶车都拦下来检查,大家注意安全,没有证件的,不要出来了。 IP游戏中心 ﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎ 📣 订阅东南亚新闻曝光频道 ↓ 🔗 https://t.me/+_e6tGktgt700NTc0 😍投稿澄清爆料: @sdbg2022
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🇲🇾 马来西亚“森林城市”成电诈新窝点 警方突袭逮捕335人 BBC报道,马来西亚耗资千亿美元打造的柔佛州“森林城市”(Forest City)因仅有一半不到的计划人口入住,原本沦为半废弃的“鬼城”。其高空置率、现代化基础设施及隐蔽性,吸引了从柬埔寨等地流窜而至的跨国诈骗集团入驻。 当地警方7月中旬突袭了分散在森林城市32处场所的两个电诈窝点,逮捕335人(含309名中国籍),查获逾1500部手机及300余台电脑等作案工具。 专家指出,与柬埔寨或缅甸强迫劳动式园区不同,该项目中的电诈团伙多以租住高档公寓和平房的形式暗中运作,显现出跨国诈骗产业正朝隐蔽化、专业化及正规商业化演变的趋势。 对面就是新加坡~~强者从不抱怨环境 IP游戏中心 ﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎ 📣 订阅东南亚新闻曝光频道 ↓ 🔗 https://t.me/+_e6tGktgt700NTc0 😍投稿澄清爆料: @sdbg2022
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# 第一首作品——《东南亚爱情故事》上线!这些年,我们漂泊在东南亚的土地上,有过梦想、有过热血,也经历过迷茫、孤独和离别。 金边、西港、波贝、曼谷……那些走过的城市,遇见的人,经历的故事,都将成为这组系列歌曲里的记忆。 后续歌曲也会陆续推出,希望用音乐记录这段特殊的岁月,把属于我们的青春、漂泊与感悟留下来。如果你有好的故事、好的题材、好的想法,欢迎联系我,让我们一起把这个“东南亚系列主题歌”做好。 不管未来走向哪里,也不枉这些年在异国他乡经历过的风雨。铁子们,多多支持!这个系列,靠大家一起见证! IP游戏中心 ﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎﹎ 📣 订阅东南亚新闻曝光频道 ↓ 🔗 https://t.me/+_e6tGktgt700NTc0 😍投稿澄清爆料: @sdbg2022
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Showing the 12 most recent of 134 posts we hold for @bbqyinliu888. 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 — 225,685 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.
Named by 2 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨缅甸缅北泰国|新闻吃瓜骗子曝光” (@bbqyinliu888), 127,371 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/bbqyinliu888.
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.