#网友投稿:金边宪兵刚刚包围了隆边区万谷一带的一栋建筑,现场多人被捕。 🩴订阅:@blj77 🩳投稿:@jpz52
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Channel
@blj77
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
171,090subscribers
-3,089 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1002122323474 |
|---|---|
| Type | Channel |
| Usernames | @baoliao111 @blblj @blj77 |
| 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 | 25 October 2026 |
| Measurements held | 140 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.me/blj77 |
Gambling & betting — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 |
|---|---|---|
| 25 Oct 2026, 01:19 | 171,090 | -46 |
| 24 Oct 2026, 21:56 | 171,136 | -134 |
| 24 Oct 2026, 07:39 | 171,270 | -59 |
| 24 Oct 2026, 03:39 | 171,329 | -62 |
| 23 Oct 2026, 18:26 | 171,391 | -199 |
| 23 Oct 2026, 06:18 | 171,590 | -23 |
| 23 Oct 2026, 02:31 | 171,613 | -74 |
| 22 Oct 2026, 18:27 | 171,687 | -237 |
| 22 Oct 2026, 04:21 | 171,924 | -22 |
| 22 Oct 2026, 02:38 | 171,946 | -112 |
| 21 Oct 2026, 16:56 | 172,058 | -212 |
| 21 Oct 2026, 00:04 | 172,270 | -23 |
| 20 Oct 2026, 21:46 | 172,293 | -48 |
| 20 Oct 2026, 13:44 | 172,341 | -65 |
| 20 Oct 2026, 02:07 | 172,406 | -12 |
| 19 Oct 2026, 23:30 | 172,418 | -121 |
| 19 Oct 2026, 12:27 | 172,539 | -86 |
| 19 Oct 2026, 04:38 | 172,625 | -52 |
| 18 Oct 2026, 20:07 | 172,677 | -47 |
| 18 Oct 2026, 15:27 | 172,724 | first reading |
1,930 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 163 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 231 of 732 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 October 2026 |
|---|---|
| Posts held | 1,930 (7 August 2026 – 24 October 2026) |
| Views total | 2,271,354 |
| Reactions total | 317 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 01:14 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 318 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.
426 reactions across 314 posts, in 7 distinct kinds. The most used accounts for 44.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 191 | 44.8% | |
| 👀 | 180 | 42.3% | |
| custom 6212735219468869670 | 13 | 3.05% | |
| custom 6215224393535069887 | 13 | 3.05% | |
| custom 6213061284796048206 | 10 | 2.35% | |
| custom 6215323654524248408 | 10 | 2.35% | |
| custom 6213228887304838334 | 9 | 2.11% |
Custom emoji. 5 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 317 of the 1,000 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 426 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 14 September 2026 to 24 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @blj77. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 14 September 2026 to 24 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
#网友投稿:金边宪兵刚刚包围了隆边区万谷一带的一栋建筑,现场多人被捕。 🩴订阅:@blj77 🩳投稿:@jpz52
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#小姐姐投稿:缅甸亚太B5-3公司对待模特如同对待清洁工 B5-3 是一家来自柬埔寨的新成立公司,在亚太地区没有任何经验。根据我的亲身经历,这家公司在管理、对待员工和模特的方式,以及基本工作规则方面,都存在诸多缺陷。 我以模特的身份加入了这家公司。入职时,他们承诺3—4天内给我安排一间单人房,并表示如果我表现出色,会给我佣金。我的起薪是10万泰铢。 工作环境和生活条件 我刚入职时,公司里只有两名缅甸籍清洁工和一名翻译,其余员工都是100多名中国人。公司采用的是集体管理结构,甚至连谁是真正的领导都不清楚。公司里有很多领导、老板和主管之类的角色。 工作室也非常狭小。工作室和宿舍还在施工,他们说三四天应该没问题,但我却在一个隔音效果差、门还坏了的小房间里工作了一个半月。 楼完工后,工作室和宿舍被合并成一个房间。我不得不睡在工作室里,所以每天都睡不好,因为外面施工人员放的DJ音乐吵得我睡不好。 加班问题 工作时间只写着晚上1…
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#群友投稿:马来西亚吉隆坡 Kingsway 酒吧凌晨移民局突击扫黄,抓了 60 个小姐,还有部分中国人! 最近一直在娱乐场所扫扫扫,大家一定要多加小心。 🩴订阅:@blj77 🩳投稿:@jpz52
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#越南资讯:警方破获2320万美元黑产网络 10月初,越南网络安全局联合兴安省警方破获一起黑产犯罪案,起诉12名涉嫌非法入侵计算机及电子设备的嫌疑人。初步核查涉案金额达2320万美元(约6000亿越南盾)。 团伙利用盗取的企业广告账户(Meta/Facebook授信额达1亿美金),以“高额折扣”诱饵承接广告投放牟取暴利。此举不仅侵犯企业权益,还扰乱市场秩序,极易诱发非法内容传播。越南网络安全局呼吁企业谨防异常低价广告,切勿使用来源不明的账户。 🩴订阅:@blj77 🩳投稿:@jpz52
#网友投稿:我叫阿威, 我承认啊,这辈子就是个一无是处的纯废物。 三十二岁了,从湖北一路混到偷渡妙瓦底,穷得响叮当,连做个黑产跑分都只能拿可怜兮兮的“一个点”。不仅穷,我还长得丑,身上天天散发着一股洗不掉的馊臭味,连我自己闻着都想吐。 可那又怎么样?我阿威连鸡都跪过!尊严对我来说算个什么东西?只要能苟活,我随时能扑通一声跪下。得不到的我就想彻底毁掉,跪得久了,我连怎么站着做人都忘了。 每天守着妙瓦底那台破电脑,就是我唯一的“高光时刻”。我在网络上四处作威作福、狂吠骂人、到处发疯,假装自己是个不可一世的硬汉。可网线一拔,我依然是那个散发着臭气、靠着一个点提成苟延残喘、穷酸又丑陋的软蛋。 他们说我是垃圾、是社会毒瘤,我觉得一点都没错。我阿威就是这么个又穷、又丑、又臭、一无是处的烂货。 我承认啊,我给挺多人下跪过。反正我的人生早就烂透了,得不到就毁掉,跪着当废物,挺好。 🩴订阅:@blj77 🩳投稿:@jpz52
🥰🥰🥰🥰🥰 #已在柬埔寨大事件上押 1️⃣0️⃣0️⃣万😃 柬埔寨知名博主 温暖 于7月25日凌晨挑战 PG电子《赏金大对决》,凭借超强实力逆袭,1000一路飙升至500万!打破PG电子记录,创造全网首个高额满倍大奖传奇时刻! 柬埔寨知名博主 晚安 8月30日挑战PG电子 麻将胡了 2000一拉 30分钟不到 狂飙 359万 😄😄😄😄 #东南亚首选最权威BBIN直营平台 集团耗资10亿美金 打造全网最牛逼的线上娱乐平台。 您身边的🔤🔤🔤🔤取款机🏧! 主营游戏:视讯APP/H5 百家乐♠️龙虎♣️三公🃏 炸金花♥️番摊⚪️骰宝🎲牛牛♦️ 推筒子🀄️轮盘🧿色碟🔴 😇😇🥲 😇😇🥲 😇😇🥲 💸你不敢拼,你怎么赢? 抓住机会,感受全新刺激体验! 東莱娱乐城,大额无忧,秒速提现,安全可靠 8️⃣🟢🔴👑🟢💸😇🥲😇 🤫🤫🤫 DL1888.VIP
#网友曝光:视频这个男主角,黑衣短袖、黑色裤子,这个人叫阿远,现在飞机名字叫大远。以前在柬埔寨波贝宝龙4对面园区做管理,后面公司解散,联系上之前的兄弟,把他接到了老挝。 到了老挝以后,整天没事就是吃小麻、打转转,天天吹牛逼,说自己在柬埔寨有多么牛逼。过来老挝,也是他以前的兄弟接过来的。接过来以后,天天不做事,在酒店吃小麻、玩。后面因为查得严,公司停工一个月,在开工的时候,被老板开除。 后面又自己不知道在哪里找的一个资方,过去以后,还是吃小麻、打转转。老板当天就给他19000人民币,当天就被他输完了。想办法找家里拿的几千,填这个窟窿。 后面我因为没有地方搞事,过去跟着他。中途一个多月,除了吃小麻就是打转转,澡也不洗,内裤都不洗,丢在柜子里面。公司的50部手机,还有老板中途给他的钱,都被他拿去输了。找老板拿钱的理由就是买设备,最后东西交不出来,没办法,选择跑路。 18号上午,人就走了,给公司另外一个人发消息,说是找500现金…
#网友曝光:此人无签证黑户,山东人,图中NBI抓捕现场,右侧标记的人。锅盖头,脚上有纹身 以前在帕塞赢天下,就多次拿码,同事已经多次取他出来让好好上班,后面骗会员充值到自己账户几万块钱跑路。赌场也跑了马仔的钱,牢里关了几个月。周围能骗的都骗完了。 此人脸皮之厚会叫你爸爸爷爷的求你借钱,应该还在马尼拉 🩴订阅:@blj77 🩳投稿:@jpz52
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#网友投稿:缅某园区,刚入职的小孩哥,那么牛逼么,拿刀吓这位老哥,直接把老哥吓得不敢大声说话了。 🩴订阅:@blj77 🩳投稿:@jpz52
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#西港突发:多名警察组成摩托车队,从西港省警察局出发。目前去向暂不清楚~~ 🩴订阅:@blj77 🩳投稿:@jpz52
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🩴订阅:@blj77 🩳投稿:@jpz52
🤡1
Showing the 12 most recent of 1,930 posts we hold for @blj77. 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 12 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.
@blj77 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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.
Read from Telegram’s recommendation API, most recently 12 August 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.
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 25 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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨大事件” (@blj77), 171,090 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/blj77.
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.