#三次元 #孙笑川 #高潮 #潮喷
❤1

Channel
@cgzxqd
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
29,032subscribers
+21,485 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002189912129 |
|---|---|
| Type | Channel |
| Usernames | @cgzxqd @ee3322 |
| Description | 每日精选吃瓜热搜黑料曝光,明星网红劲爆事件实时更新,带你围观最刺激社会百态! |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 29 September 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 29 September 2026 |
| On Telegram | t.me/cgzxqd |
Adult — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Sept 2026, 06:00 | 29,032 | +4,163 |
| 26 Sept 2026, 09:41 | 24,869 | +15,609 |
| 17 Sept 2026, 18:21 | 9,260 | +109 |
| 15 Sept 2026, 21:55 | 9,151 | +180 |
| 13 Sept 2026, 06:21 | 8,971 | +35 |
| 12 Sept 2026, 12:41 | 8,936 | +41 |
| 11 Sept 2026, 22:22 | 8,895 | +148 |
| 8 Sept 2026, 14:00 | 8,747 | +219 |
| 3 Sept 2026, 12:57 | 8,528 | +153 |
| 30 Aug 2026, 23:17 | 8,375 | +150 |
| 27 Aug 2026, 22:24 | 8,225 | +119 |
| 25 Aug 2026, 07:18 | 8,106 | +113 |
| 22 Aug 2026, 13:52 | 7,993 | +122 |
| 19 Aug 2026, 10:35 | 7,871 | +67 |
| 16 Aug 2026, 18:36 | 7,804 | +152 |
| 13 Aug 2026, 00:24 | 7,652 | +104 |
| 10 Aug 2026, 07:02 | 7,548 | +1 |
| 10 Aug 2026, 03:46 | 7,547 | first reading |
153 posts held, back to 9 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 21 pages of Telegram’s post history, 20 posts per page.
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 26 of 53 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 September 2026 |
|---|---|
| Posts held | 153 (9 August 2026 – 30 September 2026) |
| Views total | 76,512 |
| Reactions total | 367 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 05:27 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.
Lifetime counters from Telegram’s own channel header, read 30 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 97 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.
374 reactions across 32 posts, in 6 distinct kinds. The most used accounts for 27.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 104 | 27.8% | |
| 🤩 | 76 | 20.3% | |
| 🔥 | 67 | 17.9% | |
| 👍 | 53 | 14.2% | |
| 👏 | 46 | 12.3% | |
| 🎉 | 28 | 7.49% |
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 33 of the 153 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 374 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 153 most recent posts we hold, published 9 August 2026 to 30 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.
#三次元 #孙笑川 #高潮 #潮喷
❤1
#范冰冰 #公媳禁忌 #偷窥舔足 #疯癫老人日记 新片把儿媳美貌和公公的视线叠在一起,偷窥之后就是舔足。公媳乱伦拍得直白,还是那么美,刺激来自不该碰的脚。 👉点击复制口令: uuVAXVELnC 👉发送到机器人: @yunchu123bot 获取资源
#母上攻略 #乱伦啪啪 #AI短剧 《母上攻略》里儿子把妈妈按在家里最熟的那张床上狠顶,呵斥变成浪叫。经典剧情走到底:母上自己把腿掰开求继续,乱伦啪啪就是攻略通关。 👉点击复制口令: 3TjHWqnIpv 👉发送到机器人: @yunchu123bot 获取资源
#藤原yuki #不雅视频 #黑料曝光 #人设崩塌 极品抖音网红藤原yuki被前男友爆出口交做爱视频,清纯人设当场碎。黑料里尺度拉满,看着能接广告,镜头里已经在含。 👉点击复制口令: P6AnF5rFpD 👉发送到机器人: @yunchu123bot 获取资源
#网吧 #擦边 网咖里热裤背心贴着电竞椅站,头发垂到打游戏那哥们肩上给大哥按摩。三百六十行,行行都开始擦边了。
❤3
#池昌旭 #林珍娜 全裸出镜《#挑情丑闻》 两人在 Netflix 韩剧《挑情丑闻》里大尺度全裸出演,上线后讨论直接炸开。
👍5❤1
#透明椅 #瑜伽裤 #格子裙 #坐脸 瑜伽裤把臀勒圆,透明椅底下塞了个笑脸小鸡巴玩偶。换成格子裙掀起来,白内裤压着玩偶往下坐。最后拿起来对着镜头晃:这样坐你,受得了吗?
❤5
#吴迪 #思萌 #快手 #网红 #黑料 #出轨 快手网红吴迪,镜头里顾家邻家大哥,账号几千万粉,粉丝团926取女儿生日。和老婆文静秀恩爱、股份绑一起,三个孩子。婚后却被曝跟前女友思萌没断,更有人指他在老婆怀孕期间多次约炮嫖娼。 直播卖顾家,私下前女友长文、旧亲吻视频、超话外号一起传。聊天里还有酒后秀亲密视频。孕期约炮、前女友纠缠叠在一起,同期还有约炮视频在传。后面看他自己回不回应。 👉点击复制口令: uKunM4UrcY 👉发送到机器人: @yunchu123bot 获取资源
❤2
#宋领 #抖音网红 #三亚陪酒 #成都 抖音网红宋领,资料写二十岁四川妹,镜头里不是卡座就是豪车举香槟。她先咬别人夜场偷酒,对方甩出预存卡、消费单、取酒验证码,帽子没扣上,火烧回自己。 圈子里传她早年在三亚朗庭会做商务陪酒,回成都后有人说她在卖。豪车后座、香槟短裙那套,被说成营业现场。她先动手,单据把人设撕开。 👉点击复制口令: qOHvQ2N4zq 👉发送到机器人: @yunchu123bot 获取资源
#广州美术学院 #反差 #落地镜后入 #黑丝情趣 #无套 广州美院女大学生私密视频流出。落地镜前全程露脸,黑丝情趣内衣被扯乱,从后面被顶得身体发颤,脸上全是又浪又满足的表情。酒店影院里换着姿势玩,跪着深喉拉丝,再到大床上无套边看边干。人前飒爽学妹,镜里完全是另一副样子。 👉点击复制口令: sjFQyBQLbJ 👉发送到机器人: @yunchu123bot 获取资源
👍1
探探 刚认识的女友说想我了~怎么办?
❤2
#黑丝 #捡尸 #惊喜 #反差 #猎奇 黑丝美女喝趴了在楼道,带回去脱到一半才发现下面多了根鸡巴。算了...有洞就干~ 👉点击复制口令: c6WfPHEspe 👉发送到机器人: @yunchu123bot 获取资源
👍8❤3
Showing the 12 most recent of 153 posts we hold for @cgzxqd. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 3 registered channels — 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.
Names
Channels on the register whose handles appear in this channel's 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.
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 29 September 2026 — this entry's latest reading, not the date you are reading this.
“吃瓜|热搜|黑料|曝光🔥” (@cgzxqd), 29,032 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/cgzxqd.
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.