杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】:#超级好评 【优势】空乘学生妹!素质很高,服务热情! 【不足】 【出击时间】:10月18日 【老师花名】:#coco @coco55999 【出击留名】:悠然见南山 【开课位置】:上城区 【修车水费】:1000P 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照评价】:本人比照片好看很多 【身材评价】:细腰丰臀,长腿水嫩 【胸部评价】:略小于C 【鲍鱼评价】:毛量正常, 水嫩多汁 【服务评价】:服务热情周到,情绪价值满满 【态度评价】:(过程有无机车,催、赶,有无罚站行为等)无机车 无催赶行为 【环境评价】:(课室是否干净,有无漱口水一次性浴巾等)课室环境干净卫生,有一次性漱口水和浴巾 【过程描述】: #流程细节:(大于100字) 留意到群里有新来的老师…

Channel
CoCo的花园
@coco33999
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
97subscribers
+71 since we began measuring on 18 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004376295995 |
|---|---|
| Type | Channel |
| Username | @coco33999 |
| Created | 26 September 2026 — measured — dated from the channel’s first post |
| First recorded | 18 October 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/coco33999 |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 7 November 2026 and assigned it the closest of 31 fixed categories, at 59% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 19:29 | 97 | +9 |
| 1 Nov 2026, 00:16 | 88 | +10 |
| 25 Oct 2026, 22:56 | 78 | +50 |
| 19 Oct 2026, 07:10 | 28 | +2 |
| 18 Oct 2026, 20:22 | 26 | first reading |
Engagement
9 posts held, back to 26 September 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
- 113.7%
- avg views ÷ 97 subscribers
- Avg views / post
- 110
- 6 posts measured
- Reaction rate
- 0.625%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 9 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 1 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 October 2026 |
|---|---|
| Posts held | 9 (26 September 2026 – 18 October 2026) |
| Views total | 662 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Oct 2026, 20:22 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
- 13s
- Average length
- 13s
Measured directly from 1 video 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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1 | 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 1 of the 9 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 26 September 2026 to 18 October 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: 1 of 8 posts held from the last 30 days (12.5%) 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).
半岛嫩妹会报告模板: https://telegram.me/hangzhoubandao 【优势】 大嫩妹 身材不错 ,紧水也多,刚下海,良家风格,比较热情 【不足】暂无 【妹子花名】:#coco 【联系方式】:@coco55999 【妹子年龄】:21 【验证留名】:再见 【验证时间】:10月18日 【大概位置】:上城景芳 【修车水费】:1000p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照相似程度9成,颜值ok,气质/穿搭不错,皮肤偏黄 【身高身材】:身高172腿长,纹身大小胸前一点点,皮肤手感不错 【凶器罩杯】:胸型大小b,乳头颜色不错/大小,整体手感舒服,纯天然 【湿度紧度】:比比户型小蝴蝶颜色内粉,湿度紧度 紧度很好水很多,周围毛量正常 【环境细节】:交通/出入方便,房间整洁 【个人卫生】:否抽烟,有漱口水/牙刷/浴巾…
杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】: #好评 【优势】 大嫩妹 身材不错 ,紧水也多,刚下海,良家风格,比较热情 【不足】暂无 【妹子花名】:#coco 【联系方式】:@coco55999 【妹子年龄】:21 【验证留名】:见见 【验证时间】:10月18日 【大概位置】:上城景芳 【修车水费】:1000p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照评价】:人照9成,穿搭还不错,气质风格不错,真人更耐看(从人照相似度,气质穿搭等进行评价) 【身材评价】:身高172左右,胸前有一点点小纹身,身型挺好不错的 【胸部评价】:B纯天然,舒适度OK的 【鲍鱼评价】:小蝴蝶,毛量较多,水多多,紧度正常的 【服务评价】:服务非常OK的,全程主动 【态度评价】:态度非常不错,全程很享受的过程 【环境评价】:…
开课啦!元气满满💋
CoCo的花园 pinned a video
杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】:#超级好评 【优势】空乘学生妹一枚!服务热情! 【不足】 【出击时间】:10月17日 【老师花名】:#coco @coco55999 【出击留名】:萧山走向世界 【开课位置】:上城区 【修车水费】:工兵P 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照评价】:人照相似度9分 06年 【身材评价】:身高1.72 空姐身材!有点丰满! 【胸部评价】:罩杯 B+ 左右 【鲍鱼评价】:毛量正常, 比比紧的 水多润滑 【服务评价】:服务很热情 【态度评价】:(过程有无机车,催、赶,有无罚站行为等)无机车 无催赶行为 【环境评价】:(课室是否干净,有无漱口水一次性浴巾等)课室环境干净卫生,有一次性漱口水浴巾 【过程描述】: #流程细节:(大于100字) 哥喜欢…
👍1
Channel photo updated
🏴Coco ⭐️年龄:06 身高:172 🐻:B+ ❤️特色:空乘专业 长腿嫩妹 细腰丰臀 温婉可人 真实自然 清纯女友 ✍️服务:🐍吻 69 陪浴 指滑 漫游 丝袜诱惑 高跟制服 水中萧 激情爱爱 舔咪吸蛋 事后萧 ⚠️啪啪全程带套,过程出水算一次 ⚠️20分钟不出换手打 🎶课程: P:1000-45分钟 PP:1800-80分钟 ⚙️无限火力1小时1800(不限次) 🚫无套 药课 皮肤病 桩机 酒课 后花园 ⚠️请携带现金,避免留下痕迹 🚫拔套/偷拍马上结束课程,拉黑不退款 ☄️有课室不外出 素质约课 拒绝口嗨 ⌨️双向:@wxcoco_bot 💍频道: https://t.me/coco3399…
Channel created
Showing the 9 most recent of 9 posts we hold for @coco33999. 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 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.
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“CoCo的花园” (@coco33999), 97 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/coco33999.
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.