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Channel
@lllla
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
23,738subscribers
-2,680 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002300278436 |
|---|---|
| Type | Channel |
| Usernames | @baoguangcn @lllla |
| Description | #柬埔寨 #老挝 #泰国 #缅甸 #东南亚 我们专注东南亚以及国内重大新闻事件,时刻更新动态,真假难辨,谨慎吃瓜。 📝 免费投稿: @ahsdbv11 Hello @Telegram My channel has not violated the rules and policy of using Telegram. |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 122 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/lllla |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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 the other topics.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear in near-verbatim form on 3 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @lllla/24268 · this entry12 Aug 2026, 16:06 UTC | @mllll/2934112 Aug 2026, 16:06 UTC | 1.00 | under a minute |
| @lllla/24347 · this entry15 Aug 2026, 16:16 UTC | @mllll/2942115 Aug 2026, 16:16 UTC | 1.00 | under a minute |
| @lllla/26527 · this entry27 Oct 2026, 15:56 UTC | @mllll/3168127 Oct 2026, 15:56 UTC | 1.00 | under a minute |
| @mllll/3153522 Oct 2026, 15:00 UTC | @lllla/26384 · this entry22 Oct 2026, 15:00 UTC | 0.93 | under a minute |
| @mllll/3161725 Oct 2026, 12:01 UTC | @lllla/26465 · this entry25 Oct 2026, 12:02 UTC | 0.89 | under a minute |
| @mllll/3077326 Sept 2026, 10:00 UTC | @lllla/25653 · this entry26 Sept 2026, 10:01 UTC | 0.88 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @mllll | 76 (8/8 hand-verifiable sample passed) | 0.93 | under a minute | @mllll (69–7) |
| @iiiik | 22 (8/8 hand-verifiable sample passed) | 1.00 | 2 minutes | this entry (20–2) |
| @pyzcn88 | 11 (7/8 hand-verifiable sample passed) | 1.00 | under a minute | @pyzcn88 (11–0) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 80 of the 82 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 982 comparable posts for this entry, running 5 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Recorded under the keys clone_copy · clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 04:10 | 23,738 | -32 |
| 9 Nov 2026, 10:39 | 23,770 | -61 |
| 8 Nov 2026, 17:50 | 23,831 | -49 |
| 8 Nov 2026, 04:01 | 23,880 | -28 |
| 7 Nov 2026, 14:06 | 23,908 | -60 |
| 7 Nov 2026, 01:17 | 23,968 | -12 |
| 6 Nov 2026, 15:51 | 23,980 | -41 |
| 6 Nov 2026, 03:36 | 24,021 | -15 |
| 5 Nov 2026, 15:25 | 24,036 | -57 |
| 5 Nov 2026, 01:05 | 24,093 | -17 |
| 4 Nov 2026, 12:37 | 24,110 | -25 |
| 4 Nov 2026, 04:20 | 24,135 | -36 |
| 3 Nov 2026, 15:08 | 24,171 | -105 |
| 3 Nov 2026, 00:56 | 24,276 | -2 |
| 2 Nov 2026, 15:06 | 24,278 | -51 |
| 1 Nov 2026, 21:44 | 24,329 | -1 |
| 1 Nov 2026, 17:36 | 24,330 | -95 |
| 31 Oct 2026, 17:55 | 24,425 | no change |
| 31 Oct 2026, 17:36 | 24,425 | -69 |
| 30 Oct 2026, 18:11 | 24,494 | first reading |
987 posts held, back to 5 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 151 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 360 of 374 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 November 2026 |
|---|---|
| Posts held | 987 (5 August 2026 – 10 November 2026) |
| Views total | 271,945 |
| Reactions total | 54,384 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 05:58 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 11 November 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 258 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.
142,478 reactions across 930 posts, in 5 distinct kinds. The most used accounts for 20.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 28,768 | 20.2% | |
| 🎉 | 28,546 | 20.0% | |
| 👍 | 28,516 | 20.0% | |
| 🔥 | 28,366 | 19.9% | |
| 😁 | 28,282 | 19.9% |
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 931 of the 987 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 142,478 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 987 most recent posts we hold, published 5 August 2026 to 10 November 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.
Telegram’s own ‘edited’ marker: 0 of 374 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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西港警方连破3起案件 逮捕9名涉案人员并解救1名中国受害者 10月31日至11月3日,柬埔寨西港省警方联合多部门连续破获3起刑事案件,包括2起盗窃案及1起非法拘禁勒索暨非法持枪案,共逮捕9名柬籍及中国籍嫌犯。 针对非法拘禁勒索案,警方成功解救1名中国籍受害者,现场缴获1把手枪、7发子弹、1辆汽车及500美元等物证;经甄别,最初扣留的14人中有6人涉案,其余8人经教育担保后获释。 目前,所有涉案嫌犯均已移交西港省初级法院依法处理。 😀😀😀😀😀😀😀九博放心玩 · 放心赢 · 放心提 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍|真人返水1%|电子/棋牌/捕鱼返水1.5%|十三水/德州 无抽佣 😀 🔤🔤🔤🔤🔤🔤 ⚡️ 【 USDT注册 】 ⚡️ 【人民币注册】 ——————————————————— 🖥全网曝光:@RJJJJ 🖥灰产新闻:@mLLLL
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#国内新闻:江苏男子直播间投资尾货被骗17万元,警方追查牵出百万元诈骗案 11月7日,江苏连云港灌南县警方侦破一起网络投资诈骗案。一名男子通过直播间虚构库存尾货投资项目,先以小额返利取得受害人信任,再诱骗其不断追加投资。警方进一步调查发现,该案涉及全国多地7名受害人,累计被骗100余万元。 4月21日,灌南县居民鲍某在直播间看到主播高某招募小商品库存尾货投资合伙人,宣称投资少、回报快。鲍某先投入少量资金,并顺利收到返利,随后不断追加投资,累计转账17万余元。 当鲍某要求返利时,高某以商家未发货、尚未结算等理由拖延,随后将其拉黑。警方接报后将高某抓获,但高某拒绝交代犯罪事实。 办案民警通过银行流水及聊天记录发现,鲍某的投资款并未用于商品经营,而是被转入第三方账户,部分资金流向网络赌博。 警方随后扩大调查,在浙江、安徽、河南等地又找到6名受害人,查明高某骗取的100余万元均被用于网络赌博或变现。 目前,高某已被灌南县检察…
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缅甸大其力83名泰国人获释!每人缴纳100万缅元,仍面临网络赌博相关指控 缅甸大其力传来最新消息!此前于10月31日在大其力U-Varat酒店遭到警方突击逮捕的83名泰国籍人员,目前已缴纳罚款并获释,但案件并未就此结束,相关网络赌博指控仍在调查之中。 据当地消息,此案目前尚未完成全部嫌疑人的讯问工作,预计还需要约两周时间,案件才会正式移交大其力法院审理。 此案涉及两项指控: 一、非法移民 83名泰国籍人员均面临非法移民指控。根据相关处罚规定,违法者可能被判处6个月监禁,或缴纳100万缅元罚款(约合1.6万泰铢),以避免因该项罪名入狱。 二、涉嫌参与网络赌博活动 除了非法移民问题,警方还在调查这些人员是否涉及网络赌博活动。目前相关案卷仍在整理,后续将移交大其力法院。如果法院最终认定罪名成立,涉案人员仍可能根据缅甸法律承担相应责任,具体处罚将取决于指控内容、证据及法院判决。 提醒:跨境工作切勿被高薪蒙蔽! 近年来,缅甸及…
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Showing the 12 most recent of 987 posts we hold for @lllla. 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 1 registered channel — 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.
@lllla named 2 handles 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.
References a handle that is not a live channel — we have no record it ever was one.
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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“人民日报” (@lllla), 23,738 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/lllla.
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.