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Channel
中国新闻曝光吃瓜
@zg761
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
43,835subscribers
-19,505 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001532451841 |
|---|---|
| Type | Channel |
| Username | @zg761 |
| Description | TG最大交流群 @iyyid(看置顶) 投稿—商务 @pi8883 国内一手新闻,赚钱的路都写在刑法里? |
| Created | Between 1 August 2021 and 28 February 2023 — 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 | 48 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.me/zg761 |
Topic
Gambling & betting — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Oct 2026, 00:59 | 43,835 | +301 |
| 23 Oct 2026, 22:56 | 43,534 | +247 |
| 22 Oct 2026, 21:09 | 43,287 | -1,150 |
| 21 Oct 2026, 14:40 | 44,437 | -141 |
| 20 Oct 2026, 13:54 | 44,578 | -59 |
| 19 Oct 2026, 11:28 | 44,637 | +444 |
| 18 Oct 2026, 10:48 | 44,193 | +908 |
| 17 Oct 2026, 07:15 | 43,285 | -75 |
| 16 Oct 2026, 09:05 | 43,360 | -784 |
| 15 Oct 2026, 09:47 | 44,144 | +369 |
| 14 Oct 2026, 13:09 | 43,775 | +311 |
| 13 Oct 2026, 03:56 | 43,464 | -1,208 |
| 9 Oct 2026, 00:00 | 44,672 | +594 |
| 4 Oct 2026, 10:54 | 44,078 | +1,245 |
| 26 Sept 2026, 00:39 | 42,833 | -951 |
| 17 Sept 2026, 11:00 | 43,784 | +748 |
| 15 Sept 2026, 08:55 | 43,036 | +297 |
| 13 Sept 2026, 15:39 | 42,739 | -2,272 |
| 11 Sept 2026, 19:21 | 45,011 | +651 |
| 9 Sept 2026, 06:22 | 44,360 | first reading |
Engagement
694 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 160 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.78%
- avg views ÷ 43,835 subscribers
- Avg views / post
- 1,660
- 309 posts measured
- Reaction rate
- 0.059%
- reactions ÷ views · ER floor
- Posts in window
- 309
- of 694 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 57 of 309 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 October 2026 |
|---|---|
| Posts held | 694 (5 August 2026 – 25 October 2026) |
| Views total | 512,378 |
| Reactions total | 54 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 06:42 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
- Photos
- 972
- Videos
- 37
- Links
- 7
Lifetime counters from Telegram’s own channel header, read 25 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 1h 26m
- Average length
- 23s
Measured directly from 224 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
204 reactions across 161 posts, in 9 distinct kinds. The most used accounts for 33.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 69 | 33.8% | |
| 🎉 | 19 | 9.31% | |
| 👏 | 19 | 9.31% | |
| 👍 | 18 | 8.82% | |
| 😁 | 18 | 8.82% | |
| ⚡ | 16 | 7.84% | |
| 🔥 | 16 | 7.84% | |
| 🤩 | 16 | 7.84% | |
| 🥰 | 13 | 6.37% |
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 179 of the 694 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 204 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 694 most recent posts we hold, published 5 August 2026 to 25 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
#中国新闻 #以帮办减刑为名诈骗70余万警方跨省取证快速破案 获嘉县公安局刑侦大队快速侦破一起诈骗案件,犯罪嫌疑人王某以为他人丈夫办理减刑为由,多次骗取受害人家属转账,累计涉案金额70余万元。警方接警后次日便抓获嫌疑人,连夜奔赴河北邢台跨省取证,形成完整证据链条,成功追回部分赃款。 10月上旬,辖区一名群众报警求助,称王某以可以为其服刑的丈夫办理减刑、假释为由,先后多次向其索要“活动经费”“打点费”,累计转账70余万元,但始终没有任何进展,怀疑被骗。接警后,获嘉警方立即开展侦办工作,全面梳理涉案转账流水、聊天记录、语音录音等证据,快速锁定嫌疑人身份与落脚点,次日便成功将王某抓获归案。 到案后王某拒不供述犯罪事实,试图规避法律责任。为彻底查清案情,办案民警连夜奔赴河北邢台开展跨省取证,核查关键线索,补齐证据短板,形成完整闭环证据链。
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#中国新闻 #山东淄博淄川区伪装成新闻采访团队敲诈企业 7人被判处有期徒刑 淄博市淄川区人民法院对一起特殊的敲诈勒索案件作出一审判决,7名被告人伪装成新闻采访团队,以曝光企业问题为要挟,敲诈数十家企业钱财,分别被判处相应有期徒刑。该案是当地打击新闻敲诈、优化营商环境的典型案例,有力震慑了此类违法犯罪行为。 法院审理查明,该团伙以李某为首,伪造媒体证件与记者身份,组建所谓的“新闻采访团队”,专门瞄准周边区县的中小企业、乡镇工厂,以调查环保问题、安全隐患、违规经营为名,上门要求采访,实则以曝光负面信息为要挟,向企业负责人索要“宣传费”“封口费”。不少企业担心负面报道影响经营与声誉,选择花钱消灾,也助长了团伙的嚣张气焰,短短数月内就有数十家企业被敲诈,涉案金额巨大。
#中国新闻 #山东烟台芝罘区邮寄电饭煲藏850克黄金涉诈 烟台市公安局芝罘分局接到上级反诈预警,辖区居民王女士疑似遭遇虚假投资理财诈骗,且已通过邮寄黄金的方式交付投资款。民警第一时间联系当事人劝阻,但王女士起初否认被骗,也不承认邮寄了黄金。经过民警24小时的耐心沟通与反诈宣讲,王女士最终承认自己轻信了投资骗局,已经将850克黄金藏在电饭煲中,通过快递邮寄给了指定的“投资对接人”。 情况紧急,烟台警方立刻启动跨地联动机制,联系快递始发地与中转地警方,对包裹进行紧急拦截。经过多地警方协同作业,最终在快递中转环节成功截获了藏有黄金的包裹,经现场称重共计850克,为受害人保住了巨额财产。事后王女士专程前往公安机关赠送锦旗,对民警的负责与高效表示感谢。
#中国新闻 #山东淄博张店区市委常委副市长沙向东接受纪律审查和监察调查 山东省纪委监委发布通报,淄博市委常委、副市长沙向东涉嫌严重违纪违法,目前正接受山东省纪委监委纪律审查和监察调查。消息发布后迅速引发当地舆论热议,成为淄博本地关注度最高的廉政事件,也释放出反腐败无禁区、关键岗位严查的明确信号。 公开履历显示,沙向东长期在淄博本地任职,历任张店区委副书记、区长,市发改委主任,周村区委书记等重要职务,后升任淄博市副市长,跻身市委常委。在市政府分工中,其负责自然资源和规划、住房和城乡建设、交通运输、城市管理、重点工程建设等领域,分管多个资金密集、权力集中的部门,同时负责淄博新区融合发展、火车站片区建设、机场迁建等重大项目。
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#中国新闻 #山东泰安泰山区仙人跳敲诈恶势力团伙被公诉 13人涉案牵出多起丑闻 泰安市泰山区人民检察院对一起13人恶势力犯罪团伙案件提起公诉,该团伙以“仙人跳”为核心作案手段,针对多名男性实施敲诈勒索,涉案金额巨大,其中一名本地女性公职人员被敲诈19万元后遭免职,事件引发当地舆论广泛关注。 检察院起诉书显示,该团伙以00后男子陈某为首,为加强对成员的控制,敲诈得款后以“洗钱”为由将资金集中统一支配,还通过提供消费、发放借款等方式捆绑成员,逐步形成稳定的恶势力犯罪组织。团伙成员分工明确,有人负责在社交平台物色目标,以色情邀约为诱饵将受害人诱至指定地点,其余人员则冒充家属当场“抓奸”,以曝光、报警为要挟敲诈高额钱财。对拒不配合的受害人,团伙还会反向报警诬告,导致三名受害人一度被采取刑事强制措施,后续经检察机关核查才还以清白。 经查,该团伙先后作案多起,其中针对一名本地女性局长的敲诈最为恶劣,团伙以包养未成年人为由,先后敲诈对方19…
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Showing the 12 most recent of 694 posts we hold for @zg761. 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
Names
Channels on the register whose handles appear in this channel's posts.
@a8K_99 · 6,04859 postsN1国际官方频道
@N1_yao · 6,00559 posts122体育PG电子/麻将胡了/AG捕鱼/百家乐/棋牌
@qsgf11 · 12,77659 posts𝟏𝟖𝟐体育官方频道
@S182TY · 10,61459 posts182体育 体育赛事 推单频道
@td182TY · 6,17559 posts2028体育-官方频道
@TY2028_8 · 11,69159 posts122体育红单推荐,五大联赛
@tytd16 · 7,11959 postsY3国际 五大联赛 推单频道
@TYtuijian8 · 6,43559 posts🅨𝟛国际官方频道
@Y3duchang0 · 13,84659 posts122体育-官方频道
@tz228 · 6,64654 posts78.COM-官方频道@DF78
@tg78com · 27,57528 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.
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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“中国新闻曝光吃瓜” (@zg761), 43,835 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/zg761.
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.