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Channel

宁波承欢测评

@huan88988

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

371subscribers

+0 since we began measuring on 7 October 2026

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

Register entry

Telegram ID-1003736634627
TypeChannel
Username@huan88988
Description造福宁波嫖界发展; 就是这么无私奉献。 反馈联系: @huan88botbot 宁波承欢评测 @huan88988 承欢出击记 @huan99877
First recorded7 October 2026
Last confirmed live7 October 2026
Measurements held2
On Telegramt.me/huan88988

Growth

3717 Oct 2026, 14:47 — 371 subscribers7 Oct 2026, 15:22 — 371 subscribers7 Oct 2026, 14:477 Oct 2026, 15:22
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 370–372 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Oct 2026, 15:22371no change
7 Oct 2026, 14:47371first reading

Engagement

20 posts held, back to 28 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
103.9%
avg views ÷ 371 subscribers
Avg views / post
386
20 posts measured
Reaction rate
0.047%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 8 of 20 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 7 October 2026
Posts held20 (28 September 2026 – 7 October 2026)
Views total7,710
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Oct 2026, 15:22 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
25
Videos
1
Links
41

Lifetime counters from Telegram’s own channel header, read 7 October 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 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2100.0%

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 8 of the 20 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 28 September 2026 to 7 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

7 Oct 2026, 11:52 UTC162 viewsread 7 October 2026

兄弟们,宁波新群,抽奖多多,福利多多,优质妹妹多多,杭州大群鱼塘在宁波开的分群可以去观望一下,注意点下面的链接进去,让我薅点羊毛呀。😂 https://t.me/fishman7_bot?start=i-tvRMUkPgjIBkMjU0 新群福利 1.积分1000可以兑换200现金 2.积分500可以兑换李李500优惠券 3.邀请满10人可以抽现金奖励 4.老师半价券,优惠券不停抽取

7 Oct 2026, 11:43 UTC168 viewsread 7 October 2026
Photo

🎰 气质御姐李李 @lilichaopl 开群福利抽奖 📮 参与条件: 🎫 加入-宁波•鱼欢公开榜 🎫 加入-宁波•鱼水之欢 └ 🎟️ 发言数大于 100 条 🎫 加入-宁波承欢测评 🎫 加入-潮喷女王李李的贵宾厅 🎁 奖品内容: 💰️ 88现金红包 × 3 💰️ 李李1p半价优惠券 × 1 ⚠️ 抽奖说明: 李李 @lilichaopl 感谢以上老师的大力支持! 📅 开奖日期:(北京时间) 2026年10月11日 18时00分00秒

7 Oct 2026, 07:30 UTC196 viewsread 7 October 2026

#狼友推荐 狼友“AK”推荐 【老师】妍妍 8/P @xxyanyavv 【硬件】嫩妹,人照一致,几乎没有胸,皮肤粗糙,b紧 【优点】jk萌妹,态度好,情绪价值高 【缺点】过于话痨,客厅窗户没遮掩 等待更多反馈

7 Oct 2026, 05:53 UTC208 viewsread 7 October 2026

#狼友记录 狼友“承欢”记录 【老师】小纱雾 5/P @xiaoshawu520 【硬件】年轻,颜值普通,较矮,微胖(肚子有肉),真胸B,肤色亚洲黄,普通手感 【优点】口活嫩妹中可以,态度好,情绪价值高,话唠特能聊,没人不催课,女上爱爱投入,易高潮,高潮发抖 【缺点】装造一般,抽烟 等待更多反馈 出击报告 承欢报告

7 Oct 2026, 05:44 UTC212 viewsread 7 October 2026

#狼友记录 狼友“浪里白条”记录 【老师】哭哭 6/P @biedarws 【硬件】年轻,颜值中上,微胖,真胸D,奶头很小,肤色亚洲黄,正常手感,有纹身,紧度适中 【优点】颜值比照片好看(有整容),奶子大且软,比较配合 【缺点】服务几乎没有,不提啥都没有,需要引导,陪浴和口活都是我提出来的,口活一般 等待更多反馈

6 Oct 2026, 16:24 UTC250 views1 reactionsread 7 October 2026

https://t.me/fishman7_bot?start=i-6zGoKyjZsYZjOGNl 杭州优质出击群,有性趣可以去看看。

❤1

6 Oct 2026, 08:35 UTC267 viewsread 7 October 2026

#狼友记录 狼友“士兵突击”记录 【老师】小雅 5/P @xihuomao 【硬件】颜值6-7分,个子153左右,胸b 【优点】服务系,服务没得说,口活毒龙顶 【缺点】有赘肉,矮,关键罚站40+分钟 等待更多反馈

6 Oct 2026, 07:44 UTC267 viewsread 7 October 2026

#狼友记录 狼友“农夫三拳”记录 【老师】小困包 4/BT @XKBOS 【硬件】奈子B 身高160 28左右 【优点】身材不错,皮肤白皙,说话声音好听。教室安全环境好,服务态度挺好,口活技术很到位,没有齿感,舌头很灵活很爽。 【缺点】BB有一点点味道,会影响吃鲍鱼时候的感受 等待更多反馈

6 Oct 2026, 07:36 UTC270 viewsread 7 October 2026

#狼友推荐 狼友“乐言”推荐 【老师】奶茶 5/BT @naicha057 【硬件】颜值6-7分,个子不高,胸小 【优点】服务意识强,洗澡的时候会用整个手臂蹭下面,很爽。按摩力度够,整个服务过程很舒缓,情绪铺垫的足够,根本不着急,所以最后出货会比较爽,属于是5张去完以后觉得很值的 【缺点】暂无反馈 等待更多反馈

5 Oct 2026, 11:54 UTC315 views0 reactionsread 7 October 2026

#狼友记录 狼友“屁屁”记录 【老师】李李 4/P @bsnsns123 注意:中介代聊,风险极高 【硬件】嫩妹,颜值普通,身高165,身体瘦,胸B- 【优点】可舌,水多,不紧,价格实惠4p 【缺点】没插几分钟就说痛要手打,不给后入。无口,态度一般,情绪价值一般 等待更多反馈

5 Oct 2026, 07:58 UTC305 viewsread 7 October 2026

#狼友记录 狼友“干脆面”记录 【老师】悦琳 4/P @yuelin668 【硬件】颜值人照7分,体重120,肚子两个游泳圈,较松 【优点】态度好,听话 【缺点】情绪价值低,感觉不值 等待更多反馈

4 Oct 2026, 15:31 UTC338 viewsread 7 October 2026

#狼友推荐 狼友“印度玛莎拉”推荐 【老师】婉婉 4/P 【硬件】颜值一般,胸b,身材还不错,肤色有点黑,户型,小蝴蝶,毛量中等,口感8分 【优点】4p性价比高,挺骚的,居家感,可以拍小视频,有投影仪放a片,做的时候不程序化,会跟你说怎么才能让她高潮,很会口 【缺点】没有陪浴,服务少 备注:老师不是骗子,未知原因删除

Showing the 12 most recent of 20 posts we hold for @huan88988. 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.

Mentions

Named by 3 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.

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

“宁波承欢测评” (@huan88988), 371 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/huan88988.

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.