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Telegram profile photo for 人民日报

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

31,173subscribers

+4,755 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 live11 September 2026
Measurements held53
Confirmed unchanged1 time, most recently 11 September 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 why it has no browse page of its own yet.

Growth

25,71931,17328,4466 August 2026 — 26,418 subscribers7 August 2026 — 26,418 subscribers7 August 2026 — 26,325 subscribers9 August 2026 — 26,143 subscribers10 August 2026 — 25,876 subscribers11 August 2026 — 25,719 subscribers12 August 2026 — 27,960 subscribers12 August 2026 — 27,888 subscribers12 August 2026 — 27,888 subscribers12 August 2026 — 27,806 subscribers12 August 2026 — 27,778 subscribers14 August 2026 — 27,542 subscribers14 August 2026 — 27,542 subscribers15 August 2026 — 27,380 subscribers15 August 2026 — 27,380 subscribers17 August 2026 — 26,960 subscribers17 August 2026 — 26,960 subscribers18 August 2026 — 26,798 subscribers18 August 2026 — 26,798 subscribers19 August 2026 — 26,670 subscribers19 August 2026 — 26,670 subscribers20 August 2026 — 26,561 subscribers20 August 2026 — 26,503 subscribers21 August 2026 — 26,402 subscribers21 August 2026 — 26,387 subscribers22 August 2026 — 28,598 subscribers24 August 2026 — 28,278 subscribers24 August 2026 — 28,241 subscribers25 August 2026 — 28,020 subscribers25 August 2026 — 28,016 subscribers26 August 2026 — 27,806 subscribers26 August 2026 — 27,806 subscribers27 August 2026 — 27,390 subscribers27 August 2026 — 27,399 subscribers28 August 2026 — 27,292 subscribers28 August 2026 — 27,261 subscribers29 August 2026 — 27,118 subscribers29 August 2026 — 27,075 subscribers30 August 2026 — 26,901 subscribers30 August 2026 — 26,895 subscribers31 August 2026 — 26,778 subscribers31 August 2026 — 26,691 subscribers1 September 2026 — 26,572 subscribers1 September 2026 — 26,463 subscribers2 September 2026 — 26,388 subscribers2 September 2026 — 26,316 subscribers3 September 2026 — 26,459 subscribers3 September 2026 — 27,373 subscribers5 September 2026 — 27,158 subscribers6 September 2026 — 29,541 subscribers8 September 2026 — 29,230 subscribers9 September 2026 — 29,122 subscribers11 September 2026 — 31,173 subscribers6 August 202611 September 2026
53 measurements spanning 35 days, net +4,755. 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 24,901–31,991 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)SubscribersChange
11 Sept 2026, 07:3731,173+2,051
9 Sept 2026, 08:5829,122-108
8 Sept 2026, 12:3729,230-311
6 Sept 2026, 01:4029,541+2,383
5 Sept 2026, 09:5727,158-215
3 Sept 2026, 18:2127,373+914
3 Sept 2026, 11:5926,459+143
2 Sept 2026, 09:3726,316-72
2 Sept 2026, 06:2726,388-75
1 Sept 2026, 11:1526,463-109
1 Sept 2026, 05:2526,572-119
31 Aug 2026, 12:5526,691-87
31 Aug 2026, 08:0426,778-117
30 Aug 2026, 10:3626,895-6
30 Aug 2026, 09:4526,901-174
29 Aug 2026, 11:1327,075-43
29 Aug 2026, 08:2327,118-143
28 Aug 2026, 09:3827,261-31
28 Aug 2026, 05:4327,292-107
27 Aug 2026, 10:0527,399first reading

Engagement

327 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.89%
avg views ÷ 31,173 subscribers
Avg views / post
589
255 posts measured
Reaction rate
24.1%
reactions ÷ views · ER floor
Posts in window
255
of 327 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 222 of 255 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 6 September 2026
Posts held327 (5 August 20266 September 2026)
Views total150,281
Reactions total34,075
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Sept 2026, 01:37 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
1h 26m
Average length
53s

Measured directly from 99 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

45,666 reactions across 290 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
9,22820.2%
🔥9,15420.0%
👍9,11620.0%
😁9,08619.9%
🎉9,08219.9%

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 291 of the 327 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 45,666 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 327 most recent posts we hold, published 5 August 2026 to 6 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.

Recent posts

6 Sept 2026, 15:54 UTC816 views139 reactionsread 7 September 2026
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#泰国新闻 【🇹🇭 北碧府失踪母亲维楚达七日后现身·南行巴士上被找到】🔍 2026年9月6日,泰国北碧府(Kanchanaburi)一桩牵动全城的失踪案终于告破。33岁的单亲母亲维楚达·桑苏克(Wichuda Sangsuk)在失踪整整7天后,被警方在一辆南下的长途巴士上找到,当时她正独自坐在车厢后排。维楚达于8月28日(周五)晚间从家中离开后失联,CCTV监控显示她最后出现在男友纳特(Nut)的白色皮卡车旁。案发后,纳特一度否认与维楚达见面,并拉黑了她家人的电话,引发警方高度怀疑。然而,维楚达被找到后向警方表示,她这7天一直在泰国北部某府"独自旅行散心",并未遭到绑架或伤害。尽管如此,警方仍对她的说法存疑,正在调取她这段时间的消费记录和通讯记录,以确认是否存在被胁迫或洗脑的情况。维楚达的两个年幼子女在母亲失踪期间由亲戚照顾,这场"七日谜团"在泰国社交媒体上引发广泛讨论。

🎉33👍2926😁26🔥25

6 Sept 2026, 15:02 UTC6 views140 reactionsread 7 September 2026
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#国内资讯:“国家反诈AI”正式上线 可疑电话短信直接丢进去 AI帮你判断是不是诈骗 9月6日,“国家反诈AI”App正式上线。该应用由公安部刑侦局指导、上海市公安局自主研发,主要用于帮助用户快速判断可疑电话、短信和其他涉诈场景。 用户遇到拿不准的情况,可以直接把相关内容输入App,系统会分析诈骗风险、识别常见套路,并给出对应的防范建议,还会结合真实案例,用文字、语音和视频拆解诈骗手法。 “国家反诈AI”主要有三项功能。 第一项是AI智能问答。用户直接提问,系统会判断风险、识别诈骗类型,并给出处理建议,同时推送相关案例。 第二项是反诈资讯,集中更新高发诈骗预警、新型诈骗套路和典型案例,方便用户快速了解近期常见骗局。 第三项是反诈辞典,内置反诈宣传手册和防骗指南,可以通过分类、关键词搜索和语音朗读查询相关内容。 这款应用由上海警方此前推出的“803反诈”智能体升级而来。2025年12月30日,“803反诈”智能体上线

🎉36👍32😁2924🔥19

6 Sept 2026, 15:02 UTC784 views159 reactionsread 7 September 2026
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😁45🔥3230👍27🎉25

6 Sept 2026, 14:00 UTC≈1,190 views159 reactionsread 7 September 2026
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#台湾新闻 AI变声 + 恶毒虐待!台警破获史上最变态“爱情剥皮”黑产:业绩差罚“互舔肛门精液漱口”,5年狂敛9亿虐骗2万人! 台北讯 — 电影都不敢这么演!台北地检署日前侦结起诉一起轰动全台的“AI变声剥皮爱情诈骗案”。警方一举擒获以主谋黄建豪、许湘綺夫妻为首的57名诈骗集团恶徒。该团伙在短短不到5年时间里,疯狂收割逾2万名单身受害人,卷走高达9亿新台币(约合2.2亿港币)的血汗钱。更令人发指的是,该集团内部实施血腥极权的“变态魔鬼管理”,对业绩不达标的成员进行电击、强迫互舔下体甚至以精液漱口的极度虐待! 魔鬼主谋落网:主谋黄建豪被检方重磅求刑25年以上监禁,其妻许湘綺同样被求刑18年重刑。 AI科技沦为屠刀:黑产工程师专门研发“实时AI变声软件”(实时学习并复制女公关声纹),瞬间克隆性感女声,让无数无辜单身男惨沦“韭菜”。 地狱级惩罚机制:每月绩效考核犹如酷刑现场,业绩差者不仅会被电蚊拍狂电耳朵、舌头,还要被迫互舔性

🔥41😁35🎉3227👍24

6 Sept 2026, 14:00 UTC754 views166 reactionsread 7 September 2026
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🔥3835😁34👍31🎉28

6 Sept 2026, 13:03 UTC≈1,060 views162 reactionsread 7 September 2026
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42🔥34👍30🎉28😁28

6 Sept 2026, 13:02 UTC≈1,000 views148 reactionsread 7 September 2026
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😁34🎉32🔥3228👍22

6 Sept 2026, 12:02 UTC≈1,180 views139 reactionsread 7 September 2026
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🔥36😁3029🎉24👍20

6 Sept 2026, 12:01 UTC≈1,030 views169 reactionsread 7 September 2026
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🎉40🔥38😁3729👍25

6 Sept 2026, 11:06 UTC885 views142 reactionsread 7 September 2026
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#国内新闻 低价代充电费背后竟是洗钱链 北京警方抓获11人涉案上千万元 近日 北京顺义警方破获一起利用低价代充电费洗白电诈赃款案件,抓获11名犯罪嫌疑人,涉案金额上千万元。 今年8月,一笔电诈赃款流入顺义区一名居民的电费账户。该居民此前在网上找人代充电费,按折扣价付款,几天后电费到账。警方顺着资金流锁定代充人员周某,并牵出背后的洗钱团伙。 这个团伙以约92折的价格吸引用户代充电费。用户把钱转给代充人员后,资金经过多层账户流转,最后进入团伙头目廖某账户;另一边,境外诈骗人员直接用电诈赃款替用户缴纳电费。 廖某再将收来的资金购买虚拟币并转往境外,完成资金洗白。北京顺义警方随后在多地展开抓捕,廖某及10名下线人员全部落网。 11名嫌疑人已被依法刑事拘留,涉案资金被依法收缴。 💎 N1国际丨全球顶级U台丨每日提款不限额度不限次数丨限红全网最高U存U取无需实名丨不限ip 🎰2028娱乐网址20280700.com 👑电子真人

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6 Sept 2026, 11:06 UTC999 views165 reactionsread 7 September 2026
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6 Sept 2026, 10:15 UTC4 views152 reactionsread 7 September 2026
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#柬埔寨资讯:86名涉嫌网络诈骗及其他犯罪活动的越南公民被遣返 9月6日据柬埔寨内政部消息,9月4日,在副首相兼内政部长萨尔索卡的指导下,柬埔寨移民总局将86名越南公民遣返回国,其中包括28名女性。 柬方表示,这些人员涉嫌非法越境、吸DU、有组织犯罪、非法居留、无证工作及网络诈骗等违法犯罪活动。 柬埔寨当局强调,将继续依法打击网络诈骗及其他跨境犯罪活动,并加强对非法居留和违法外国人的调查、处理及遣返,以维护国家安全和社会秩序。 💎 N1国际丨全球顶级U台丨每日提款不限额度不限次数丨限红全网最高U存U取无需实名丨不限ip 🎰2028娱乐网址20280700.com 👑电子真人0风控0审核秒出款丨每日提款不限额度不限次数丨👑 🎰182体育网址1821468.com 👑电子真人0风控0审核秒出款丨每日提款不限额度不限次数丨👑 😑🫤😐🫥😶🤥🫠🤫🫡🫢⚡️ 人民币注册 ⚡️ USDT注册 👉彩票注册 😑注册就送28.8U

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Showing the 12 most recent of 327 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 11 September 2026 — this entry's latest reading, not the date you are reading this.

“人民日报” (@lllla), 31,173 subscribers as measured 11 September 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.