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Channel
中国新闻曝光吃瓜
@zg761
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
42,742subscribers
-20,598 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 | 27 August 2026 |
| Measurements held | 20 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/zg761 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 18:54 | 42,742 | -85 |
| 26 Aug 2026, 16:55 | 42,827 | -3,935 |
| 25 Aug 2026, 16:34 | 46,762 | -871 |
| 24 Aug 2026, 16:36 | 47,633 | -6,176 |
| 23 Aug 2026, 03:39 | 53,809 | -1,614 |
| 21 Aug 2026, 15:44 | 55,423 | +727 |
| 20 Aug 2026, 14:12 | 54,696 | -1,113 |
| 19 Aug 2026, 14:34 | 55,809 | -1,848 |
| 18 Aug 2026, 14:26 | 57,657 | -11 |
| 17 Aug 2026, 11:58 | 57,668 | +1,551 |
| 16 Aug 2026, 02:26 | 56,117 | -531 |
| 14 Aug 2026, 10:16 | 56,648 | -6,798 |
| 13 Aug 2026, 01:14 | 63,446 | -329 |
| 12 Aug 2026, 00:09 | 63,775 | +7,889 |
| 11 Aug 2026, 00:35 | 55,886 | -431 |
| 10 Aug 2026, 03:11 | 56,317 | -2,067 |
| 9 Aug 2026, 05:52 | 58,384 | -4,213 |
| 8 Aug 2026, 04:53 | 62,597 | -743 |
| 7 Aug 2026, 18:30 | 63,340 | no change |
| 7 Aug 2026, 18:26 | 63,340 | first reading |
Engagement
137 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 45 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.11%
- avg views ÷ 42,742 subscribers
- Avg views / post
- 2,180
- 137 posts measured
- Reaction rate
- 0.032%
- reactions ÷ views · ER floor
- Posts in window
- 137
- of 137 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 21 of 137 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 August 2026 |
|---|---|
| Posts held | 137 (5 August 2026 – 27 August 2026) |
| Views total | 299,218 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 03:43 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
- 620
- Videos
- 33
- Links
- 3
Lifetime counters from Telegram’s own channel header, read 28 August 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 19m
- Average length
- 6m 39s
Measured directly from 12 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
15 reactions across 13 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 15 | 100.0% |
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 21 of the 137 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 137 most recent posts we hold, published 5 August 2026 to 27 August 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
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#中国新闻 #两名嫌疑人连环盗窃多辆电动车被巡逻民警当场抓获 信阳息县公安局破获一起连环盗窃电动车案件,两名无固定收入的年轻人葛某、杨某,瞄准路边停放没有严密防护的电动车,连续多晚外出作案,疯狂盗取多台非机动车,给周边居民财产带来损失 。二人准备撬锁工具,深夜在城区街道、商铺门口游荡寻找目标,先偷走一辆两轮电动车,骑行赃车继续寻找下一个目标,又盗窃一台四轮低速老头乐,得手之后开到邻县藏匿。贪心不减的二人,隔一晚又折返息县,盯上路边停放的电动三轮车,拿出工具正在破坏车锁准备开走的时候,正好撞上夜间治安巡逻的民警。巡逻警力发现二人行为异常,立刻上前盘查,当场把两名嫌疑人控制抓获。
#中国新闻 #暑期学生遭遇游戏代练私下交易诈骗三万四千余元 郑州金水区一名16岁的学生玩家,在视频平台浏览内容的时候收到陌生人私信,对方主动邀约,希望雇佣该学生做游戏代练上分,许诺给予报酬,瞄准暑期学生群体实施诈骗 。最开始沟通的时候,对方开出的酬劳待遇十分诱人,取得少年的初步信任,随后骗子找借口,提出要脱离平台私下交易,声称平台会扣除高额手续费,要求学生缴纳接单保证金、账号激活费等多项费用,宣称交完钱款之后立刻结算大额代练酬劳。涉世未深的学生一心想要赚取零花钱,没有多加思考,按照对方要求多次扫码转账,累计转账34969元。等到钱款全部转出之后,对方直接拉黑失联,少年才发现被骗,在家人陪同下报警。
#中国新闻 #虚假抖音代运营涉诈引流窝点被警方捣毁 洛阳市洛龙区一处商业写字楼内部,藏匿一处以创业孵化为幌子的电信网络诈骗引流窝点,犯罪团伙对外包装成短视频运营公司,对外宣称可以帮助普通人开设抖音店铺,提供直播货源、店铺代运营服务,吸引想要网上创业的普通群众上当 。团伙人员通过短视频评论区、私信、社群到处投放广告,专门瞄准想低成本创业的个体,话术极具迷惑性,一步步诱导受害者开店,之后编造进货垫资、平台保证金、店铺升级费用等理由,诱导受害人多次转账交钱。该窝点对外伪装成正规办公公司,有工位、电脑手机全套设备,日常作息和普通企业十分相似,隐蔽性很强,前期很难被识别。当地通信部门反诈AI大数据监测到该片区通信号码大量异常外呼,识别出涉诈特征,将线索推送辖区公安。公安迅速组织警力开展实地摸排,锁定窝点具体位置之后开展集中抓捕行动,现场抓获涉案人员7名,扣押作案手机、电脑一共17台。
#中国新闻 #男子陷入网络招嫖连环诈骗损失二十一万余元 南阳卧龙区市民王先生深夜在家上网,浏览不良网页时看到弹窗推送的所谓同城上门交友服务,抱着侥幸心理点击链接下载陌生非正规APP,落入诈骗团伙精心设计的连环圈套 。平台客服告知当事人,缴纳小额会员费,完成简单刷单任务,就可以解锁线下服务,同时刷单还可以获取返利。最开始几单小额操作,王先生确实拿到少量返利,彻底放下心理戒备,完全信任骗子的说辞。后续骗子以账户冻结、流水不足、操作错误、升级高级权限等名目,不断要求受害人转账充值,为了拿回本金和所谓服务资格,王先生不断投入资金,甚至通过网贷平台借钱转账。等到自己已经无力继续充值,对方依旧不断索要资金,王先生才意识到遭遇诈骗,立刻向卧龙公安报警。经核算,全部被骗金额合计21.8万余元。
#中国新闻 #网民借重大刑事案件摆拍虚假视频博流量被处罚 在西平县重大刑事案件发生之后,网络上出现大量相关讨论,两名本地网民黄某某、张某某为博取短视频平台流量,不顾案件当中受害者家属的情感,刻意摆拍制作虚假现场视频,发布到网络平台传播扩散,造成大量网友转发,扰乱正常网络公共秩序 。二人拍摄的视频刻意模拟案发现场氛围,编造没有事实依据的故事细节,误导大量不明真相的网友,不少网民根据虚假视频衍生出各类谣言版本,给受害家属带来二次精神伤害,也干扰公安机关正常侦查工作。公安网安部门开展网络巡查时第一时间发现这条违规内容,迅速锁定两名嫌疑人身份,依法传唤二人到派出所接受调查。面对警方的询问,两名当事人承认自己完全没有掌握案件内情,纯粹依靠摆拍杜撰内容,目的就是涨粉丝、赚取短视频流量收益。公安机关依据治安管理相关法律,对二人作出行政处罚,责令删除全部不实视频,公开进行辟谣。
#中国新闻 #邻里琐事引发重大故意伤害 这起发生在驻马店西平县柏城街道侯园社区的刑事案件,由邻里之间的日常琐事不断激化引发,在当地引发巨大社会震动 。涉案男子夏某钢在该社区租赁房屋用来堆放杂物,长期和隔壁住户侯某立一家做邻居,双方此前就因为房屋使用、过道占用等生活琐事积累不少矛盾,多次发生口角争执,邻里调解也没能彻底化解双方的隔阂。矛盾彻底爆发之后,嫌疑人持械对邻居一家人实施伤害,导致侯某立抢救无效死亡,嫌疑人作案之后迅速逃离现场,逃窜途中还造成多名无辜群众受到人身伤害,社会危险性极高 。案发之后当地立刻成立专项工作专班,开展伤员救治、现场勘查、全网协查等工作,对外发布悬赏通告,鼓励群众提供线索,悬赏金额最高五万元。经过多日跨区域追踪,专案组最终在漯河市源汇区空冢郭镇将潜逃的夏某钢抓捕归案。
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Showing the 12 most recent of 137 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.
@N1_yao · 3,4502 posts球速体育PG电子/麻将胡了/AG捕鱼/百家乐/棋牌
@qsgf11 · 9,5852 posts【球速体育】官方频道
@QSTY518 · 7,2972 posts𝟏𝟖𝟐体育官方频道
@S182TY · 10,4952 posts182体育 体育赛事 推单频道
@td182TY · 3672 posts2028官方频道
@TY2028_8 · 3,0402 posts球速体育红单推荐,五大联赛
@tytd16 · 3,2602 postsY3国际 五大联赛 推单频道
@TYtuijian8 · 7292 posts8K国际官方福利频道
@y3_9999 · 3,2372 posts🅨𝟛国际官方频道
@Y3duchang0 · 11,1412 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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“中国新闻曝光吃瓜” (@zg761), 42,742 subscribers as measured 27 August 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.