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Channel

人民日报

@lllla

2 usernames

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

24,425subscribers

-1,993 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002300278436
TypeChannel
Usernames@baoguangcn @lllla
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live31 October 2026
Measurements held105
Confirmed unchanged1 time, most recently 31 October 2026
On Telegramt.me/lllla

Topic

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.

Growth

23,30431,17327,238.524,4256 August 202631 October 2026
105 measurements spanning 86 days, net -1,993. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 22,124–32,353 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 105
Measured (UTC)SubscribersChange
31 Oct 2026, 17:5524,425no change
31 Oct 2026, 17:3624,425-69
30 Oct 2026, 18:1124,494-8
30 Oct 2026, 14:4724,502-82
29 Oct 2026, 21:3724,584-26
29 Oct 2026, 13:1824,610-62
29 Oct 2026, 00:5924,672-38
28 Oct 2026, 09:3624,710-55
27 Oct 2026, 20:1924,765-25
27 Oct 2026, 12:0724,790-127
26 Oct 2026, 20:3724,917-14
26 Oct 2026, 13:5624,931-303
26 Oct 2026, 00:0025,234+1,930
25 Oct 2026, 15:5923,304-1,587
24 Oct 2026, 22:5024,891-197
24 Oct 2026, 16:2625,088-2,704
23 Oct 2026, 22:4627,792-10
23 Oct 2026, 19:3727,802-1,129
22 Oct 2026, 19:2128,931no change
22 Oct 2026, 16:4428,931first reading

Engagement

878 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 133 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.99%
avg views ÷ 24,425 subscribers
Avg views / post
731
409 posts measured
Reaction rate
20.6%
reactions ÷ views · ER floor
Posts in window
409
of 878 held

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 393 of 409 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 31 October 2026
Posts held878 (5 August 2026 – 31 October 2026)
Views total299,082
Reactions total59,535
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Oct 2026, 14:30 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.

What this channel posts

Video runtime
3h 23m
Average length
52s

Measured directly from 236 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.

Reaction mix

126,596 reactions across 824 posts, in 5 distinct kinds. The most used accounts for 20.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤25,53720.2%
👍25,35720.0%
🎉25,33820.0%
🔥25,27020.0%
😁25,09419.8%

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 825 of the 878 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 126,596 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 878 most recent posts we hold, published 5 August 2026 to 31 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.

Recent posts

31 Oct 2026, 14:10 UTC149 views143 reactionsread 31 October 2026
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#巴基斯坦资讯:突袭电诈窝点!130名马来西亚人被捕,警方不排除派员赴巴调查 10月31日报道:巴基斯坦执法部门近日展开突击行动,捣毁一个涉嫌针对马来西亚民众实施网络金融诈骗的犯罪窝点,共有130名马来西亚公民被捕。 马来西亚全国总警长丹斯里莫哈末卡力(Mohd Khalid Ismail)于10月31日证实此事,并表示,马来西亚警方正通过外交部与巴基斯坦执法单位合作,进一步获取被捕人员的完整资料,不排除派遣调查人员前往当地跟进案件。 行动详情: 行动日期: 10月28日 行动地点: 巴基斯坦拉瓦尔品第(Rawalpindi)巴里亚镇KASA大厦。 被捕人数: 130人。 涉及国籍: 全部为持马来西亚护照的公民。 执法单位: 巴基斯坦国家网络犯罪调查局(NCCIA)。 据巴基斯坦媒体《ProPakistani》报道,NCCIA在取得法庭搜查令后,对上述地点展开突击行动,现场逮捕130名涉嫌参与网络金融诈骗活动的马来西亚人…

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31 Oct 2026, 14:10 UTC154 views150 reactionsread 31 October 2026
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31 Oct 2026, 13:02 UTC6 views142 reactionsread 31 October 2026
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#热搜吃瓜 香港名媛蔡天凤碎尸案最新进展:前公公当庭认罪,三名被告均承认阻止合法埋尸罪,仍否认谋杀! 10月30日,香港轰动一时的28岁名媛蔡天凤碎尸案在香港高等法院继续审理,案件迎来最新进展。此前一直否认相关控罪的蔡天凤前公公邝球,当庭改口承认「阻止合法埋葬尸体罪」。至此,涉案三名被告均已承认这一罪名,但三人仍否认谋杀指控。 案件涉及蔡天凤前夫邝港智、前公公邝球及前夫哥哥邝港杰。三人被控于2023年2月21日在香港大埔龙尾村一处村屋内谋杀蔡天凤,并于同月21日至23日期间阻止合法埋葬其尸体。 庭审期间,邝球在9名陪审员面前承认阻止合法埋葬尸体罪。法官随后指示陪审团裁定该项控罪成立。此前,邝港智及邝港杰已承认同一罪名。 庭审还披露了案发前的准备过程。 控方播放的闭路电视画面显示,2023年2月10日至13日期间,邝球曾购买电锯、锯片、汤煲及购物车等物品;邝港杰则购买螺丝批、垃圾袋、大型透明胶箱等物品。控方认为,这些购物记…

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31 Oct 2026, 13:01 UTC875 views164 reactionsread 31 October 2026
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31 Oct 2026, 10:58 UTC6 views147 reactionsread 31 October 2026
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31 Oct 2026, 10:57 UTC≈1,020 views155 reactionsread 31 October 2026
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31 Oct 2026, 10:01 UTC6 views142 reactionsread 31 October 2026
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🔥40❤30🎉28👍25😁19

31 Oct 2026, 10:00 UTC765 views138 reactionsread 31 October 2026
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❤37👍26😁26🎉25🔥24

31 Oct 2026, 09:02 UTC4 views156 reactionsread 31 October 2026
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#缅甸资讯:掸邦南站镇捣毁电诈网赌窝点,抓获18名泰国籍嫌疑人 据缅甸国家信息部10月30日通报:由安全部队组成的联合工作组开展专项突击清查行动,在掸邦南部南站镇鲍居村西北方向约1700米处,成功端掉一处藏匿于此的网赌电诈窝点。 据通报,本次行动共抓获18名泰国籍涉案人员(含6名女性)。行动现场查获大批作案工具,包括一体机电脑7台、各类手机16部、星链(Starlink)卫星互联网设备2台、彩色打印机1台以及相关配件。 涉案窝点包含多间临时棚屋,分别用作居住、办公和食堂。目前,相关审讯工作正在开展,涉案人员将依法处置。 😑🫤😐🫥😶🤥🫠🤫🫡🫢⚡️ 人民币注册 ⚡️ USDT注册 👉彩票注册 😑注册就送28.8U 😀😀😀😀😀😀😀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…

🎉35❤34👍32🔥30😁25

31 Oct 2026, 09:02 UTC722 views141 reactionsread 31 October 2026
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🔥36❤29😁26🎉25👍25

30 Oct 2026, 15:59 UTC≈1,210 views146 reactionsread 31 October 2026
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#柬埔寨资讯:柴桢省巴域市当局联合中国国际警务部门突查赌场及住宅,疑涉科技型诈骗窝点 10月30日上午,柬埔寨柴桢省巴域市(Bavet City)当地执法部门联合中国国际警务人员,对当地多处赌场建筑及住宅场所展开检查。据悉,上述地点此前曾被犯罪团伙利用,作为实施科技型诈骗活动的藏身及活动场所。 行动期间,中方调查人员持续对相关诈骗窝点进行监控,并围绕涉嫌犯罪活动展开全面、深入调查。

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30 Oct 2026, 15:58 UTC833 views136 reactionsread 31 October 2026
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Showing the 12 most recent of 878 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.

Mentions

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.

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.

Cite this entry

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 31 October 2026 — this entry's latest reading, not the date you are reading this.

“人民日报” (@lllla), 24,425 subscribers as measured 31 October 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.