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Channel

Coco的记事本📝

@Coco8592

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

4subscribers

+0 since we began measuring on 15 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004304733265
TypeChannel
Username@Coco8592
Description报告频道,所有报告均为来过的宝宝真实反馈~
CreatedBetween 1 June 2026 and 22 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded15 September 2026
Last confirmed live16 September 2026
Measurements held2
On Telegramt.me/Coco8592

Growth

415 Sept 2026, 14:47 — 4 subscribers15 Sept 2026, 17:22 — 4 subscribers15 Sept 2026, 14:4715 Sept 2026, 17:22
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3–5 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 17:224no change
15 Sept 2026, 14:474first reading

Engagement

8 posts held, back to 22 August 2026the 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
5365.6%
avg views ÷ 4 subscribers
Avg views / post
215
8 posts measured
Reaction rate
0.144%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 8 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 September 2026
Posts held8 (22 August 202614 September 2026)
Views total1,717
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Sept 2026, 17:22 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

Photos
1
Links
3

Lifetime counters from Telegram’s own channel header, read 15 September 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 8 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 8 most recent posts we hold, published 22 August 2026 to 14 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.

Recent posts

14 Sept 2026, 04:43 UTC100 views0 reactionsread 15 September 2026

看到飞哥频道里面老师最近在优惠,于是联系老师,二刷了已经,进门后迫不及待相拥,老师亲切问候,宝宝欢迎回家。宝宝宝宝叫着,腿都软了。今天的护士装超有感觉,一双大长腿亲切的搭在我身上,及其挑逗撩拨我。受不了了抱着亲了一会,老师就用水汪汪的眼睛看着我说我们去洗澡吧宝宝。洗澡过程也是全自动,撩拨的我小弟弟一下就硬了,着急擦水上床,老师主动穿上我喜欢的白丝,🐍吻技术也是一次比一次棒。从上亲到下。口的技术也变棒多了,Coco老师每次都能给我带来新的体验。唧唧实在硬的不行,老师细心帮我带上帽子。先是前入,爽的不行,好紧好粉嫩的小穴。好喜欢,特别是后入的感觉。大长腿后入时超有感觉,一手握着老师的细腰,前后插动的 ,太紧了原谅我没十五分钟就🐍了。老师后面贴心问我需不需要休息,帮我洗澡澡。坐着和老师在沙发上聊天,氛围轻松,一开始觉得老师有纹身是个精神小妹,没想到两次相处下来一点不高冷 服务态度也挺好的 也不像有的老师这里不让碰那里不让碰的,

10 Sept 2026, 04:37 UTC155 viewsread 15 September 2026
Forwarded from @yanggmi_botPhoto

南京伟大航路修车报告 【时间】:2026-08-30 【老师】:CoCo 【留名】:匿名 【人照】:8 【颜值】:8.5 【身材】:7.5 【服务】:7.5 【态度】:9 【环境】:8 【综合】:8.08 【过程】:【序】看航路介绍新来的嫩妹CoCo,身高挺高且苗条,符合xp,再加上妹子优惠活动,然后浏览下课评,无明显在意的槽点,于是CJ。 【章】妹子在公寓,见到本人,人照如其它LY描述一致,相似度8-9成(众所周知都有美颜,吐槽下那些重度美颜),妹子让先交水费再计时开始,这时听到妹子东北口音,再加上有点小高冷,心里有点打退堂鼓了,后面过程说明我想多了。 【节1】进入正题,课表写的内容都有。先是🛀,妹子温柔抚摸打泡泡,清洗重要部位,我也没闲着,从🐻到腹部再到下面,妹妹胸虽不大但软和,小腹平坦,戴有脐钉,下面摸着就挺紧。 擦干到床上,有无是pp,虽节省时间和体力快速释放一次多巴胺。妹妹口的很轻,技术有待提升。可能大晚上了很累,下面

8 Sept 2026, 16:07 UTC137 viewsread 15 September 2026

杭州学生会:https://t.me/students_union 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【出击老师】:#coco @Coco5292 【出击留名】:潇洒一下 【出击时间】:9月8日 【大概位置】:拱墅区 【修车水费】:工兵 【高端服务】:有的打 ✅ 没有的打 ❎ ① 舌吻 ✅ ② 六九 ✅ ③ 毒龙 ❎ 【人照相似】:人照8分,颜值中等偏上脸型,穿搭有制服 【身高身材】:身高170腿长,手臂胳膊有纹身 腰腹无赘肉 【胸器罩杯】:罩杯a+胸型,乳头粉颜色,皮肤光滑 【湿度紧度】:户型毛发,紧度湿度很好 做爱反馈真实 【课室环境】:公寓,停车方便,出入门禁 【个人卫生】:无抽烟,有陪浴,有浴巾/牙刷 【时间管理】:排课合理,无催客赶客,有情绪价值 【服务点评】:优点嫩 身材高挑 本人也活泼可爱 缺点胸比较小手臂胳膊有纹身 价格合理值得二刷 【推荐程度】:8.5分

24 Aug 2026, 08:44 UTC337 views0 reactionsread 15 September 2026

四方茶话会报告:https://t.me/Quartetchat 【妹子花名】:#Coco 【联系方式】:@Coco5292 【正文】: #硬件分析 很不错,人照9分的女孩子,本人比照片好看,感觉脸没照片那么长,身材比例好,腿细长又直,皮肤白皙细腻。就是稍微带点符文,胸大概b,洗浴用品一次性浴巾 #流程黄文 看到上新人,很好看,就立马跟ls定时间,定好时间以后到达指定地点,消息引导报房号上楼。青春的气息洋溢,十分热情的接待。冷白皮,苗条,皮肤细嫩白皙,很是不错。170,很粉,舌吻感觉非常好,床上服务,做的都非常好,口活很棒69可品,边接受服务边和老师聊天,稍微技术有待加强,小穴非常紧致润滑,换几个姿势配合度非常高,基本全自动。情到深处,直接出货了!结束后擦洗一番抱一抱,很有女友感,情绪价值提供的很足因为我还有事就先走了,老师送到门口,拥抱告别。总体来说是非常不错的一次体验,很有代入感。 #课后感 紧 水多,情

23 Aug 2026, 11:15 UTC309 viewsread 15 September 2026

【南京[比奇堡]学生会工兵报告】 【妹妹花名】:Coco 【报告署名】:狼十三 【验证时间】:8.22 【验证地点】:江宁东山 【服务类别】:98 【修车水费】:800(工兵-400) 【妹妹类型】:嫩妹 【颜值身材】:高挑嫩妹 {年龄}:20 {颜值}:人照8成 {皮肤}:黄皮 {罩杯}:A+ {身高}:170 {体重}:100左右 {赘肉}:无明显赘肉 {颜值综合打分}:8分 {身材综合打分}:8分 【服务质量】:好 {服务内容}:🐍,舔胸,口,69,做 {服务水平}:嫩妹刚下海,服务还不错,还有待开发 {服务态度}:态度不错,配合度好 {服务综合打分}:8 【纹身疤痕】:有纹身 【是否吸烟】:房间有没发现烟味 【课室卫生】:有一次性浴巾,无一次性床单 【周边环境】:著名商圈,公寓楼,出行方便 【综合打分】:8分制 {优势}:比较嫩,态度好,配合度高 {不足}:口的时候不能整吞 过程概述】:来的有点晚,只能等上一个ly结束再

22 Aug 2026, 16:07 UTC259 views1 reactionsread 15 September 2026

【南京[比奇堡]学生会工兵报告】 【妹妹花名】:#Coco 【报告署名】:爱吃鱼丸 【验证时间】:8.11 【验证地点】:江宁东山 【服务类别】:98 【修车水费】:800p(工兵400) 【妹妹类型】:高挑嫩妹 【颜值身材】: {年龄}:20 {颜值}:人照一致 {皮肤}:正常黄皮,有纹身 {罩杯}:天然B {身高}:168 {体重}:100 {赘肉}:无明显 {颜值综合打分}:8 {身材综合打分}:9 【服务质量】: {服务内容}:与课表一致 {服务水平}:比一般嫩妹强不少 {服务态度}:很听话,有求必应 【进阶服务】:有的打✅ 1️⃣舌吻 ✅ 2️⃣69 ✅ 3️⃣情绪价值 ✅ 4️⃣陪浴 ✅ 5️⃣莞式(全套)服务 7️⃣毒龙 {服务综合打分}:8 【纹身疤痕】:有纹身无疤痕 【是否吸烟】:无烟味 【课室卫生】:有独立包装一次性用品,课室干净整洁 【周边环境】:酒店式民宿,无门禁有电梯 【综合打分】:9 【综合评

1

22 Aug 2026, 05:32 UTC200 viewsread 15 September 2026
Forwarded from @njxcjsxybgt

【妹妹花名】:CoCo 【报告署名】:匿名 【验证时间】:8.21 【验证地点】:江宁万达 【服务类别】:98 【修车水费】:800p(工兵-4) 【妹妹类型】:女友系/大长腿 【颜值身材】: {年龄}:22左右 {颜值}:8成 {皮肤}:黄皮,皮肤嫩滑,上半身文身较多。 {罩杯}:B {身高}:170附近 {体重}:100附近 {赘肉}:无赘肉 {颜值综合打分}:8 {身材综合打分}:8 【服务质量】: {服务内容}:三件套+蛇+69 {服务水平}:平均水准 {服务态度}:热情大方健谈 {服务综合打分}:8 【课室环境】:江宁万达,第一天有工兵说课室是景区,于是老师换到了另一个景区 【过程概述】: 进门先看脸,老师瓜子脸,五官和谐,东北女孩的修长身高,小酥胸,大长腿,完美得连蚊虫叮咬的痕迹都没有,摸上去牛奶般顺滑。上半身有文身花臂,能接受的范围。有陪浴,洗完穿上黑丝袜,非常迷人。有蛇有69,配合度很好,就是服务稍弱点,

22 Aug 2026, 03:52 UTC220 viewsread 15 September 2026

【南京[比奇堡]学生会工兵报告】 【妹妹花名】:coco 【报告署名】:菠萝包宝菠萝 【验证时间】:8.21 【验证地点】:江宁区 【服务类别】:98(大项) 【修车水费】:800p(工兵-4) 【妹妹类型】:嫩妹 【颜值身材】 {年龄}:20出头 {颜值}:颜值跟照片差不多,没那么白,但是笑起来多了一点可爱,照片把脸拉得太长了。 {皮肤}: 黄皮 {罩杯}:a+ {身高}:170 {体重}:50多一点 {赘肉}:无赘肉 {颜值综合打分}:8.5 {身材综合打分}:8 【服务质量】: {服务内容}:🐍口69 {服务水平}:水平就是普通嫩妹水平,口的时候略微有点划水,不过挺细致的 {服务态度}:态度很好,会撒娇,东北夹子 【进阶服务】: 1️⃣舌吻✅ 2️⃣69✅ 3️⃣情绪价值✅ 4️⃣陪浴 5️⃣莞式(全套)服务 7️⃣毒龙 {服务综合打分}:6.5普通嫩妹水平 【纹身疤痕】:无疤痕有纹身(如图) 【是否吸烟】:吸烟的,

Showing the 8 most recent of 8 posts we hold for @Coco8592. 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

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.

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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“Coco的记事本📝” (@Coco8592), 4 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/Coco8592.

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.