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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 · Handles named that no longer answer · Cite this entry

44,360subscribers

-18,980 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
TypeChannel
Username@zg761
DescriptionTG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?
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live9 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.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

41,98363,77552,8797 August 2026 — 63,340 subscribers7 August 2026 — 63,340 subscribers8 August 2026 — 62,597 subscribers9 August 2026 — 58,384 subscribers10 August 2026 — 56,317 subscribers11 August 2026 — 55,886 subscribers12 August 2026 — 63,775 subscribers13 August 2026 — 63,446 subscribers14 August 2026 — 56,648 subscribers16 August 2026 — 56,117 subscribers17 August 2026 — 57,668 subscribers18 August 2026 — 57,657 subscribers19 August 2026 — 55,809 subscribers20 August 2026 — 54,696 subscribers21 August 2026 — 55,423 subscribers23 August 2026 — 53,809 subscribers24 August 2026 — 47,633 subscribers25 August 2026 — 46,762 subscribers26 August 2026 — 42,827 subscribers27 August 2026 — 42,742 subscribers28 August 2026 — 42,032 subscribers29 August 2026 — 42,161 subscribers30 August 2026 — 41,983 subscribers31 August 2026 — 42,546 subscribers1 September 2026 — 42,815 subscribers2 September 2026 — 42,222 subscribers3 September 2026 — 43,065 subscribers5 September 2026 — 43,507 subscribers9 September 2026 — 44,360 subscribers44,3607 August 20269 September 2026
29 measurements spanning 32 days, net -18,980. 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 38,714–67,044 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
9 Sept 2026, 06:2244,360+853
5 Sept 2026, 22:5743,507+442
3 Sept 2026, 21:2143,065+843
2 Sept 2026, 15:4842,222-593
1 Sept 2026, 15:5442,815+269
31 Aug 2026, 15:5542,546+563
30 Aug 2026, 17:2741,983-178
29 Aug 2026, 20:4242,161+129
28 Aug 2026, 20:3342,032-710
27 Aug 2026, 18:5442,742-85
26 Aug 2026, 16:5542,827-3,935
25 Aug 2026, 16:3446,762-871
24 Aug 2026, 16:3647,633-6,176
23 Aug 2026, 03:3953,809-1,614
21 Aug 2026, 15:4455,423+727
20 Aug 2026, 14:1254,696-1,113
19 Aug 2026, 14:3455,809-1,848
18 Aug 2026, 14:2657,657-11
17 Aug 2026, 11:5857,668+1,551
16 Aug 2026, 02:2656,117first reading

Engagement

247 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 75 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.95%
avg views ÷ 44,360 subscribers
Avg views / post
1,750
218 posts measured
Reaction rate
0.072%
reactions ÷ views · ER floor
Posts in window
218
of 247 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 53 of 218 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 10 September 2026
Posts held247 (5 August 202610 September 2026)
Views total381,847
Reactions total58
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 04:16 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
700
Videos
35
Links
5

Lifetime counters from Telegram’s own channel header, read 10 September 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 20m
Average length
1m 55s

Measured directly from 42 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

62 reactions across 52 posts, in 9 distinct kinds. The most used accounts for 41.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2641.9%
🎉812.9%
🥰69.68%
🔥58.06%
👏46.45%
😁46.45%
34.84%
👍34.84%
🤩34.84%

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 62 of the 247 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 62 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 247 most recent posts we hold, published 5 August 2026 to 10 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

10 Sept 2026, 02:26 UTC≈1,180 views1 reactionsread 10 September 2026
Photo

#中国新闻 #警方打掉网络舆情敲诈恶势力团伙 跨省作案危害180余家企业 朝阳市公安局双塔分局刑侦大队成功打掉一个以网络舆情敲诈为手段的新型恶势力犯罪团伙,抓获犯罪嫌疑人3名,该团伙流窜三省十余市,专门冒用新闻媒体工作者身份,通过威胁曝光企业污染或违规生产问题实施敲诈勒索,涉案金额达260余万元 。 该团伙组织严密,分工明确,核心成员葛某某等人注册多家空壳文化传媒公司作为掩护,伪造记者证、工作证等证件,伪装成环保领域媒体记者。他们携带专业拍摄设备,专门寻找硅砂、铸造等易产生扬尘污染的企业,拍摄所谓"违规生产证据",然后以曝光负面舆情相威胁,向企业施压索要"封口费"。 团伙成员还通过变换身份、冒用不同媒体名义等方式,对同一企业反复滋扰、施压敲诈,严重干扰企业正常生产经营 。为逃避打击,他们采用现金交易、频繁更换联系方式和居住地点等手段,增加警方侦查难度 。警方在掌握充分证据后,组织开展集中抓捕行动,将3名团伙成员全部抓获,现

😁1

10 Sept 2026, 01:13 UTC674 views1 reactionsread 10 September 2026
Photo

#中国新闻 #女子以婚恋为名实施色情敲诈 勒索多名男性共19.5万元落网 近日,大连市普兰店公安分局成功破获一起新型系列"色情敲诈"案件,抓获犯罪嫌疑人刘某某,其以婚恋交往为幌子,专门针对有稳定工作和经济基础的中年男性实施敲诈勒索,累计非法获利19.5万余元。 刘某某精心设计作案流程,首先通过社交平台筛选目标,专挑工作体面、家庭稳定、有一定经济实力的中年男性,这类人群普遍爱惜羽毛,害怕个人声誉受损影响家庭和事业。她主动以处对象或当情人为由接近被害人,在建立亲密关系并发生性关系后,立即转变态度,采取"组合拳"式威胁手段。她会以"自杀"相要挟,发送割腕照片等自残证据;同时威胁要向公安机关"举报被强奸",用刑事罪名施压;更将矛头指向被害人软肋,声称要到其单位或子女学校闹事,彻底摧毁其社会形象和家庭关系。 多数被害人为保全名声、工作和家庭,选择"花钱消灾",被迫向刘某某转账,少则几千元,多则数万元。警方通过警情深挖研判,发现多名男

🥰1

9 Sept 2026, 13:00 UTC≈1,270 viewsread 10 September 2026
Video

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9 Sept 2026, 12:01 UTC≈1,240 viewsread 10 September 2026
Video

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9 Sept 2026, 11:01 UTC≈1,240 viewsread 10 September 2026
Video

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9 Sept 2026, 10:00 UTC≈1,250 viewsread 10 September 2026
Video

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9 Sept 2026, 09:23 UTC≈1,260 viewsread 10 September 2026
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#中国新闻 #太谷区明星镇校园周边持刀抢劫案 3名未成年人作案,专抢学生手机钱财 晋中太谷区明星镇太谷中学附近,发生一系列持刀抢劫案,3名未成年人专抢学生手机和钱财,造成多名学生受伤,引发家长和社会的强烈关注 。据警方透露,这3名嫌疑人年龄在15-17岁之间,均为辍学少年,他们通常在晚上9点至凌晨1点之间作案,选择在太谷中学周边的小巷和公园等偏僻地点,对单独行走的学生实施抢劫。 歹徒手持刀具威胁受害者,抢走他们的手机、钱包和笔记本电脑等财物,遇到反抗时会使用暴力。一名16岁的男学生在反抗过程中,被歹徒用刀划伤手臂,造成多处伤口,缝了10多针。案件发生后,太谷中学学生和家长的安全问题引起广泛关注,学生们不敢单独夜间出行,家长们纷纷接送孩子上下学。

9 Sept 2026, 09:09 UTC≈1,270 viewsread 10 September 2026
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#中国新闻 #临泉镇跨省电诈洗钱案涉案400余万元 5人团伙辗转多地洗钱 吕梁临县临泉镇,临县警方成功打掉一个跨省电诈洗钱团伙,抓获犯罪嫌疑人5名,涉案金额达400余万元 。该团伙驾车辗转太原、阳泉、晋中、吕梁、忻州多地,十余次实施取现、兑换黄金等洗钱行为,涉案金额巨大,社会危害性极大 。 据警方透露,该团伙是为境外电信诈骗集团提供"洗钱"服务的专业团队,通过收购他人银行卡、支付宝账户等方式,接收诈骗所得资金,随后通过ATM机取现、购买黄金等方式将资金"洗白",再转移至境外账户,从中收取5%-8%的佣金。 调查显示,该团伙自2026年7月以来,已为多个境外电诈集团洗钱400余万元,涉及全国20余起电信诈骗案件,受害者遍布多个省份。警方通过精准穿透层层伪装,锁定团伙踪迹,于7月18日抓获2名核心成员,并通过扩线深挖再抓获3名同伙 。

9 Sept 2026, 07:15 UTC≈1,290 viewsread 10 September 2026
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#中国新闻 #71张SIM卡牵出80余万元赌资大案 运城绛县古绛镇一处民宅内,绛县公安局成功破获一起网络开设赌场案,抓获犯罪嫌疑人5名,缴获手机23部、电脑7台、SIM卡71张,涉案赌资高达80余万元。这是绛县近年来破获的规模最大的网络赌博案件,彰显了警方打击新型网络犯罪的决心。 据警方介绍,该网络赌场由犯罪嫌疑人李某为首,利用境外赌博平台,通过微信群、QQ群等社交软件发展下线,吸引赌客参与"百家乐"、"时时彩"等赌博活动。赌客通过微信、支付宝转账方式充值,兑换虚拟货币参与赌博,庄家则从中抽取5%-10%的佣金。 调查显示,该团伙自2025年10月以来,已发展下线300余人,涉及山西、陕西、河南等多个省份,日均参赌人数达50余人,日流水最高达10万元。警方通过数月的侦查,掌握了该团伙的详细作案规律和人员结构,随后展开突袭行动,将5名嫌疑人全部抓获。

9 Sept 2026, 04:08 UTC≈1,310 views2 reactionsread 10 September 2026
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#中国新闻 #永安镇饭店阴阳菜单区别对待本地人与游客 大同浑源县永安镇一家名为"浑源味道"的特色饭店被曝光使用"阴阳菜单",对本地人和外地游客实行不同定价标准,同款菜品价格相差数倍,引发全网热议,山西文旅形象因此受到严重影响。 事件起因是一名外地游客在社交媒体发布视频,称自己在该饭店用餐时,发现菜单价格与本地人消费的价格完全不同。视频中显示,过油肉本地人价28元,游客价68元;凉糕本地人价8元,游客价28元;特色家常菜价差普遍在10-40元不等。该游客当场与店家理论,店家起初否认,后在证据面前承认确有此事,并称这是"行业惯例"。

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9 Sept 2026, 01:06 UTC659 views1 reactionsread 10 September 2026
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#中国新闻 #网红山西铁头敲诈勒索13人团伙被抓 撕开网红打假黑幕 太原小店区学府街附近一处写字楼内,拥有21万粉丝的网红"山西铁头"王某钢及其13人团伙被太原公安小店分局全部抓获,涉嫌敲诈勒索、恶意索赔等多项罪名。这起案件撕开了网红打假行业最丑陋的套路,引发山西本地网络一片哗然,不少曾经点赞支持他的网友直呼难以接受。 据警方通报,王某钢以"打假维权"为幌子,通过短视频平台发布商家"问题产品"视频,吸引流量和关注,随后以曝光相要挟,向商家索要高额"封口费"。该团伙分工明确,有人负责寻找"目标商家",有人负责拍摄剪辑视频,有人负责与商家谈判勒索,形成了完整的黑色产业链。 调查显示,该团伙在短短8个月内,先后对太原、晋中、吕梁等地的30余家餐饮、零售企业实施敲诈勒索,涉案金额达150余万元。部分商家为避免声誉受损,被迫支付数万元至数十万元不等的"封口费"。警方在抓捕行动中,现场缴获大量拍摄设备、电脑、手机以及涉案账本和转账记

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8 Sept 2026, 18:54 UTC903 views1 reactionsread 10 September 2026
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#中国新闻 #50岁光头男子持刀行凶后在逃 警方悬赏5万元缉捕 忻州保德县东关镇发生一起重大刑事案件,50岁男子金全旺有重大作案嫌疑,案发后迅速逃离现场,目前在逃。保德县公安局发布协查通报,悬赏最高5万元征集线索,对提供直接抓获犯罪嫌疑人线索的,给予人民币5万元奖励;对提供重要线索协助抓获犯罪嫌疑人的,给予人民币2万元奖励 。 金全旺,男,汉族,户籍地山西省河曲县沙泉镇前泥彩村48号,特征为光头、中等身高,逃跑时身穿黑色半袖,浅蓝色牛仔裤、灰色运动鞋 。据知情人士透露,案件发生在保德县城区一处居民区,受害者为一名中年女性,因伤势过重经抢救无效死亡。警方已在全县主要路口设置检查站,同时对周边乡镇展开拉网式搜索,重点排查嫌疑人可能藏匿的废弃窑洞、山林和偏僻村庄。

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Showing the 12 most recent of 247 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

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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“中国新闻曝光吃瓜” (@zg761), 44,360 subscribers as measured 9 September 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.