"所在城市:广州 老师名称:广州1609号,粥粥 #广州1609号,#粥粥 上课价格:600p 妹子年龄:20 妹子容貌:8分颜值丑的话我会直接走人 妹子身材:很瘦 屁股没啥肉 匈奴不用去了 服务态度:态度很好 很乖 环境设备:9分 自由评论:妹子刚下海 不是很熟悉 我还教了她很多 做了一次老师 最后射在了她肚子上 问我怎么射了这么多 我说我吃的好 做的时候问她爽不爽 她说这么大根怎么能不爽 真他妈会享受 我就喜欢这种骚女人 越骚我越硬 综合评估:600p可以去 我中山过广州太远了 以后应该不会怎么去广州了"

Channel
粥粥的部落
@zhou16888880
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,245subscribers
-46 since we began measuring on 9 November 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003829240276 |
|---|---|
| Type | Channel |
| Username | @zhou16888880 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 November 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/zhou16888880 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 05:50 | 3,245 | -46 |
| 9 Nov 2026, 10:22 | 3,291 | no change |
| 9 Nov 2026, 09:47 | 3,291 | first reading |
Engagement
15 posts held, back to 5 November 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 21.6%
- avg views ÷ 3,245 subscribers
- Avg views / post
- 702
- 13 posts measured
- Reaction rate
- 0.099%
- reactions ÷ views · ER floor
- Posts in window
- 15
- of 15 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 3 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 November 2026 |
|---|---|
| Posts held | 15 (5 November 2026 – 9 November 2026) |
| Views total | 9,130 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Nov 2026, 10:22 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
- Video runtime
- 41s
- Average length
- 8s
Measured directly from 5 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
3 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 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 3 of the 15 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 5 November 2026 to 9 November 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
Telegram’s own ‘edited’ marker: 0 of 15 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
今天最后一天 抓紧🈷️
好多人都说我嘴甜 你要来试试么
粥粥的部落 pinned a photo
抽奖:【无忧学府】粥粥の半价福利 奖品清单 • p半价×1 参与条件 • 加入 广州修车无忧学府榜 • 加入 广州修车无忧学府报告 • 加入 广州修车无忧甄选 • 加入 粥粥的部落 • 报名消耗:3 学分 • 参加后需在广州修车无忧学府内发言5次 群内发送“抽奖进度”查看完成度 • 必须设置 Telegram 用户名 加权说明 • 每次加权扣 3 学分 • 加权上限:20次 • 抽奖号越多,中奖概率越高 抽选时刻 • 2026-11-12 11:00:00 抽奖说明 1、进群获更多积分福利:@xcwyxf 2、半价拉黑抽奖,交报告解黑,兑奖:@zz168999000 3、群内发送 “报告”可快速提交报告; 4、禁止买卖,一经发现永久拉黑; ❌ 违规发言取消抽奖资格,积分原路退,开奖前取关,取消资格,积分不退。
孤独的人总是晚回家
【红馆报告】https://t.me/GZGZZ3 【老师艺名】粥粥 【联系方式】@zz168999000 【所在位置】天河 【验证留名】蒂亚 【验证时间】10月5号 【出击费用】600p 【人照几成】无差距 温柔 小甜妹 【优点缺点】态度满分 【推荐程度】9.9 【体验细节】 见到老师的那一刻真是惊喜满满,她是一位非常干净清纯的嫩妹,皮肤白嫩水润,整个人散发着青春干净的气息。进门后简单聊了几句,老师就温柔地带我去洗澡。洗浴过程中她贴心服侍,身体接触间已经让我心痒难耐。 洗完出来躺在床上,我们很快进入热烈的亲吻环节。主动又投入,吻得我全身发酥,完全不想停下来。随后老师低头开始口活,舌尖灵活又温柔,光是口就把我伺候得差点把持不住。 后来老师贴心地带上T,我们进入正题。在她甜美的娇喘声中,配合着持续的深吻,那种温暖紧致又湿润的包裹感极其舒服,节奏和氛围都恰到好处,没多久我就彻底释放了。这是一次非常舒适且有感觉的CJ体验,整体过程轻松…
❤1
醒了也不给我发信息 很好 下次别醒了
粥粥的部落 pinned a photo
💐💐💐开奖了💐💐💐 【府上粥粥红包 抽奖活动】开奖了 本期总参与人数:1837 本期抽奖号码数:1837 1、Yo获得: 28.88🧧 2、Metro获得: 28.88🧧 3、波·比获得: 28.88🧧 4、披萨蘸剑气获得: 28.88🧧 5、不瘦二十不该网名获得: 28.88🧧 6、何弃疗获得: 28.88🧧 7、夜店之王获得: 28.88🧧 8、名字以后再议获得: 28.88🧧 9、家族排行第十一获得: 28.88🧧 10、马丁(中奖版)获得: 28.88🧧 兑奖请联系 @zz168999000 谨祝中奖用户大吉大利万事如意 更多资讯请关注
https://t.me/GuangZhouLSGKB/1890
外面风大 有事的话来我被窝说
Showing the 12 most recent of 15 posts we hold for @zhou16888880. 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.
Forward network
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.
Mentions
Named by 1 registered channel — 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.
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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“粥粥的部落” (@zhou16888880), 3,245 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/zhou16888880.
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.