有包皮的鸡巴不吃 太硬的也不吃
❤1👎1🤡1

Channel
@cq111
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
3,629subscribers
-22 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002018154879 |
|---|---|
| Type | Channel |
| Usernames | @cq111 @pyzlcg |
| Created | 29 March 2024 — measured — Telegram's own channel record (MTProto) |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/cq111 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 11:45 | 3,629 | no change |
| 30 Aug 2026, 03:57 | 3,629 | +3 |
| 27 Aug 2026, 15:48 | 3,626 | +3 |
| 27 Aug 2026, 02:04 | 3,623 | +2 |
| 24 Aug 2026, 13:16 | 3,621 | -3 |
| 24 Aug 2026, 05:34 | 3,624 | -7 |
| 20 Aug 2026, 23:54 | 3,631 | -2 |
| 20 Aug 2026, 17:23 | 3,633 | +7 |
| 17 Aug 2026, 15:49 | 3,626 | +1 |
| 17 Aug 2026, 10:57 | 3,625 | -4 |
| 16 Aug 2026, 14:03 | 3,629 | -19 |
| 14 Aug 2026, 07:46 | 3,648 | +5 |
| 10 Aug 2026, 23:58 | 3,643 | -6 |
| 8 Aug 2026, 07:40 | 3,649 | -2 |
| 7 Aug 2026, 14:18 | 3,651 | first reading |
13 posts held, back to 7 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 2 pagesof 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 2 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 13 (7 August 2026 – 7 August 2026) |
| Views total | 1,047 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 22:58 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.
Measured directly from 10 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.
4 reactions across 2 posts, in 4 distinct kinds. The most used accounts for 25.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 25.0% | |
| 👍 | 1 | 25.0% | |
| 👎 | 1 | 25.0% | |
| 🤡 | 1 | 25.0% |
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 2 of the 13 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 7 August 2026 to 7 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.
有包皮的鸡巴不吃 太硬的也不吃
❤1👎1🤡1
印度发生罕见谜团:莫尔比一口井中的水剧烈晃动,无人能解释原因 这一奇怪现象已经持续第五天,当地居民感到困惑,当局正在展开调查。
孙宇晨对王思聪当年的嘲讽仍然耿耿于怀 8月6日,孙宇晨在X上发帖,借福布斯富豪榜财富位次变化回应旧怨。他写道:“一代版本一代神……王健林当年也曾是版本之神……版本更迭最残酷之处,是身处巅峰的人总是最后察觉。” 帖文中还特别提到:“傲慢是最先被清算的资产”,并称自己“很难再有王思聪这种自信”。 这番表态被外界广泛解读为对2019年王思聪在朋友圈骂其“傻逼”的隔空回击。 起因:2019年6月,孙宇晨以456万美元拍下巴菲特慈善午餐,引爆舆论争议。 王思聪的反应:王思聪在朋友圈转发相关文章《孙宇晨巴菲特的餐桌上,全是“韭菜”》,并配文:“这不就是个傻逼”。 孙宇晨当时回怼:孙宇晨当时在微博晒出截图回怼,称王思聪“靠爹的还敢骂靠自己的,80后还敢骂90后,搞个直播就倒闭的敢骂还在创业的”。
主播利用未成年人喊网友“爸爸”博流量,“母女合拍”多账号被封禁 “萱萱,你喊视频前的叔叔来我们家吃饭。”“不,我就要喊爸爸。” “你看视频前的这个叔叔你喜欢吗?”“喜欢怎么办?”“带回家当爸爸。” 近日,拥有近200万点赞量的抖音账户“知暖&知甜”被平台封禁,其以“单亲妈妈”人设,让自己未成年的女儿叫镜头前的陌生男人为“爸爸”,被网友直指利用未成年人出镜博流量,系新型“擦边”手段,引发网友谴责。 8月6日下午,澎湃新闻记者在抖音平台随机搜索,发现十多个同类账户。视频中,“母女俩”共同出镜,“母亲”语气温柔,身着睡衣或性感衣服,通过刻意引导、话术暗示、假意制止等方式,让孩子叫陌生网友为“爸爸”,刻意制造暧昧氛围,收割特定男性流量。 受访律师指出,流量不是突破法律底线的“免责牌”,监护权也不是用来消费孩子、透支孩子的工具。平台在明知或应知内容违规、消费未成年人、存在低俗擦边导向的情况下,仍然持续推荐、放任传播、提供流量扶持…
🤖 OpenAI 升级 ChatGPT GPT-5.6 系列并开放更多免费权限 OpenAI 宣布更新 ChatGPT 模型体验。付费用户(Plus 与 Pro)的 GPT-5.6 Sol 将提供更可靠的事实答案和更聚焦的回复,并新增滑块以控制模型的思考深度;免费用户本周起默认模型升级至 GPT-5.6 Luna,下周起可享无限文本对话,并新增 Think 按钮以应对需要深度推理的复杂问题。 官方内部评估显示,在涉及财经、医疗和法律的 factual 提问中,GPT-5.6 Luna 的事实错误比 GPT-5.5 Instant 减少约 62%,GPT-5.6 Sol 的同类错误则减少约 68%。此外,OpenAI 针对 18 岁以下用户加强了安全训练与系统级保护,限制浪漫角色扮演、年龄限制挑战及不当内容,并鼓励用户在需要支持时寻求现实人际联系。
这个纹身加持,你们能玩多久
网传博主贺梓涵相关直播片段在各大社群传播,网传信息称,其正在直播间和榜一大哥进行互动的过程当中,母亲突然敲门闯入,当事人慌乱之下紧急关闭直播直接下播,这一突发桥段成为网友热议的点。 该博主此前在平台塑造清纯邻家高三女生的人设,凭借外形收获不少粉丝。直播突发被家人撞见下播的网传情节流出之后,叠加此前网络上流传的各类小道消息,多重因素共同带动话题热度快速上涨,引发大量吃瓜讨论。
盘子质量真好
晚上好
今天状态不太好,裤子都还没脱
⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 😄 首存最高领 18,888U 😄 二存三存再领 8,888U 😄 连续达标再领 8,888U 😄 飞投绑定最高送 9,999U 😄 电子爆分最高加赠 19,999U 😄 更多专属豪礼 · 尽在优惠专区 ⚡️ C N Y:尊享专属注册通道 🪙 USDT:尊享专属注册通道 🐞 官方直播火热进行中,美女主播 在线互动,精彩不断,立即进入直播间! 😘 官网:U99.COM 😘 飞投:@u99top 😘 直播:@vvip11 😘 频道:@U99GBH 😘 客服:@u99com99 1️⃣实力铸就品牌高度 · 专业打造娱乐新标杆
👍1
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Showing the 12 most recent of 13 posts we hold for @cq111. 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.
Citation-graph rank — 798,759 of 1,627,445entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 2 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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“皮炎子来吃瓜🍉” (@cq111), 3,629 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/cq111.
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.