店铺:欢乐岛 女仆:涵涵 类型:清纯可爱 价格:1200双钟 出击人:匿名 出击时间:7.26 环境: 私人影院保密性保密性很不错 人照相似度:90% 罩杯:对A要不起 身材:绝绝子 皮肤:白 态度:sss 敏感处: 🐻 抽烟:抽 纹身:有 唇钉舌钉:都有 吻技:大蟒蛇 过程:到了之后我一个人偷偷抽烟 妹妹进来就说我真坏 一个人享受 后面又陪妹妹抽了一根哈哈哈哈 看得出来是个不冷场的 然后就开始躺下聊天 妹妹话很多 不冷场 情绪价值给的很到位 聊了一会就直盯着我的眼睛 然后我一下就亲上去了 好家伙 还有意外之喜 居然有舌钉!我苦苦寻找了好久 竟然在不经意见遇到了 妹妹也很会亲 然后我顺理成章的就往🐻上亲去 也是妹妹为数不多的敏感点 看我不太方便就主动卸甲 顺势往下面摸去 好家伙 已经是水汪汪的一片 后面我也脱去衣服 在一番不可描述的情节中 结束了两个钟 总体来说妹妹配合度很高 期待二刷 颜值:8分(满分10分) 尺度:SSSS…

Channel
涵涵测评
@hhcep
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003813301644 |
|---|---|
| Type | Channel |
| Username | @hhcep |
| Description | hhceping |
| Created | Between 1 February 2026 and 27 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/hhcep |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 15:46 | 8 | no change |
| 8 Aug 2026, 01:33 | 8 | first reading |
Engagement
10 posts held, back to 27 June 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1862.5%
- avg views ÷ 8 subscribers
- Avg views / post
- 149
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 10 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.
| Window | Rolling 30 days · latest post in window 29 July 2026 |
|---|---|
| Posts held | 10 (27 June 2026 – 29 July 2026) |
| Views total | 149 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 15:46 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
- 6
- Links
- 2
Lifetime counters from Telegram’s own channel header, read 12 August 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
2 reactions across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 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 2 of the 10 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 27 June 2026 to 29 July 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
#涵涵 好评+1 ✨✨✨
【美女昵称】: 涵涵 【店家名字】:欢乐岛 【报 告 人】:看看保暖 【情绪价值】:9 【 人 照 】:9 【 总 分 】:9 【课表特色】:大蟒蛇 【上课过程】:本来以为会穿店里的老衣服(老演员)出现呢,见面却是穿的自己的牛仔短裤,显得腿又细又长,涵涵很努力的找话题讲话像小公主一样傲傲的,非常棒,愉快的体验,年轻水嫩,有唇钉和舌钉。吻起来咯吱咯吱的。真好
❤2
空港基地 @888飞行员 #涵涵 #欢乐岛 #拱墅 #2026.6 #1h 店铺:@wangyouge999 颜值 7.7 身材 7.8 皮肤 8 敏感度 8.8 性格 8.5 综合体验 8.58 优点:#配合 #大长腿 #18s #尺度 #纹身 #舌钉 #大蟒蛇 #标致瓜子脸 #接吻反差强 #温泉外溢 缺点:性格话少偏i、口中稍微带有烟味、体质较弱容易累 过程: 模卡清新少女风,符合审美,加上好友推荐便立马约上。 到地方稍微折腾了许久才进房间.好好打量了一下涵涵,本人和模卡很相似,脸很瘦小,是个标准的瓜子脸,颜值可以,那种天然的少女风看着挺舒服的。 躺下后发现妹妹比较i,话也少,索性直接步入正题。没想到她其实挺有反差,虽然看着文静,接吻时却是个“大蟒蛇”,进攻性极强。而且在舌钉的加持下别有一番风味,舌头很灵动,时不时还会用牙齿辅助(可惜稍稍有点烟味)。 接下来的过程自然水到渠成,卸甲十分顺利,妹妹非常配合。手指游走…
#欢乐岛 #涵涵 #拱墅 #2026.6#1h 店铺:https://t.me/wangyouge999/50887?single 颜值8.8 身材8.3 皮肤8.4 敏感度5.9 性格8.8 综合体验8.99 优点:单眼皮韩系美少女,冷御类型,身姿纤细,水润温婉,配合度较好。 过程: 欢乐岛是我一直想去的一个商家,对他们家的丸子,我很是心仪,无奈情深缘浅,一直没有机会。 这次看到涵涵的ootd,被她视频里展示的可爱一击入魂,遂前往。 见面之后,还是有被她的颜值给迷糊到。清清爽爽的面容,配上她的单眼皮,像极了电视中走出来的韩系女明星。表情不算丰富,面部冷冰和身体内的炽热,形成了极强的反差。 剥开外套,露出了她的椒胸,微微触碰,便挺立了起来。 外面下着雨,空气很是湿润。众所周知,湿度是会传导,我怕妹妹着凉,帮妹妹的妹妹褪去了衣裳。还没如何操作,已经被打湿了不成样。外面雨声丝丝入耳,室内的战鼓声也是不断的回响。随着战场情况的…
#涵涵#欢乐岛#拱墅#1H 颜值:9(校花,T1下) 身材:8(胸b大长腿) 爱好:8(电子烟有纹身有钉) 吻技:9(中蟒蛇一直亲) 敏感度:8.5(敏感水润) 配合度:9(非常配合) 欢乐岛来了新人,看着是喜欢的类型,客服说试钟情报铁裤裆,反正贤者时间了,那来碰碰运气吧。没想到无心插柳柳成荫了,妹妹接受度是在线的,循序渐进,聊得好的话一切都水到渠成,颜值身材T1下,标大拉满的好妹妹! 推荐指数:五星,强烈推荐
#欢乐岛 #涵涵 #1h 学校:@wangyouge999 颜值:7.7(瓜子脸) 身材:7.5 情绪价值:7.5 本次体验:#4星半 ⭐️⭐️⭐️⭐️✨ 复刷意愿:#3星半 ⭐️⭐️⭐️✨ 评级:#A- 风格:#少女 特点:#配合 #大长腿 #18s #尺度 #纹身 #舌钉 #大蟒蛇 模卡清新少女风,符合审美,加上好友推荐便立马约上。 到地方稍微折腾了许久才进了房间,此时好好打量了一下涵涵,本人和模卡很相似,脸很瘦小,是个标准的瓜子脸,颜值可以,那种天然的少女风看着挺舒服的。 躺下后发现妹妹比较i,话也少,索性直接步入正题。没想到她其实挺反差,虽然看着文静,接吻时却是个“大蟒蛇”,进攻性极强。而且在舌钉的加持下别有一番风味,舌头很灵动,时不时还会用牙齿辅助。 接下来的过程自然水到渠成,卸甲十分顺利,妹妹非常配合。手指游走到下路之时,温泉水已经开始外溢了。做好手部清洁后随即开始简单的深入探索,涵涵也终于不是“忍者神龟”了,…
Channel photo updated
Messages in this channel will no longer be automatically deleted
Messages in this channel will be automatically deleted after 1 week
Showing the 10 most recent of 10 posts we hold for @hhcep. 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
Citation-graph rank — 796,248 of 1,345,403entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“涵涵测评” (@hhcep), 8 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/hhcep.
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.