Telegram RegisterThe public register of Telegram

Channel

No.婉

@Wanwan161618

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

6subscribers

+2 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-1003736503086
TypeChannel
Username@Wanwan161618
Description婉婉的汤层一品
Created7 August 2026measured — dated from the channel’s first post
First recorded12 August 2026
Last confirmed live12 August 2026
Measurements held3
On Telegramt.me/Wanwan161618

Growth

4658 August 2026 — 4 subscribers8 August 2026 — 6 subscribers12 August 2026 — 6 subscribers8 August 202612 August 2026
3 measurements spanning 4 days, net +2. 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 4–6 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 20:486no change
8 Aug 2026, 13:176+2
8 Aug 2026, 10:014first reading

Engagement

14 posts held, back to 7 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
4660.6%
avg views ÷ 6 subscribers
Avg views / post
280
11 posts measured
Reaction rate
0.751%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 4 of 11 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 12 August 2026
Posts held14 (7 August 202612 August 2026)
Views total3,076
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 20:48 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
5
Videos
1
Links
8

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.

Video runtime
7s
Average length
7s

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

7 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 85.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
685.7%
👍114.3%

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 4 of the 14 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 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 7 August 2026 to 12 August 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

12 Aug 2026, 06:02 UTC85 viewsread 12 August 2026

杭州狼友出击协会模板 https://t.me/+yI0wXTr_cK8wMTA1 【综合评价】: #好评 【验证留名】:@ji69y 【验证时间】:8月12日 【妹子花名】:大奶碗 【联系方式】:@No_wanwan 【所在位置】:上城 【修车水费】:竞拍半价400p 【包含服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 没有 ③ 情绪价值 ✅ ④ 毒龙 没有 【身高身材】:身高165左右,腿长,有小二处纹身,白皮肤挺好滑 【颜值相似】:人照相似一致几乎原图,颜值很高,气质很好/穿搭有女仆装 【凶器罩杯】:胸型如其花名大奶碗,乳头颜色红润,大小有e一手抓不下,整体手感很q弹 【服务总结】:服务到位,没有无少做,过程无机车,如女友般,都要自己操作了 【个人卫生】:没抽烟,有漱口水,一次性浴巾,事前事后清洗 【时间管理】:开课准时,排课宽松,课时做完 【推荐程度】:10分,竞拍来的超值,值

11 Aug 2026, 02:59 UTC176 views3 reactionsread 12 August 2026

#杭州肯德基 https://t.me/kdjqjt #好评 85,服务主动,细致,嫩妹服务质量有待改进 【出击时间】:8.10 【出击老师】:婉 【联系方式】:@No_wanwan 【出击留名】:古尔 【开课位置】:上城 【修车水费】:工兵 【人照评分满分10】:9(相似度9,甜妹装扮) 【颜值评分满分20】:18(耐看,不算高颜值,跟照片相似度高,我喜欢邻家女孩,笑起来挺可爱,) 【身材评分满分10】:9(皮肤白嫩,身材嫩妹里排前面,D的大胸) 【吊感评分满分20】:19(户型一线天,紧度紧,水量充足且润,包裹感强) 【服务评分满分10】:8(女友感强,服务三件套,但是挺认真的) 【态度评分满分20】:118(经过锻炼我希望服务会更上一层楼) 【环境评分满分10】:8(回迁房小区,房间挺干净) 【综合评分满分100】:95(嫩妹里算不错的,福建的妹子冷白皮,🐻有D,手感柔软无异物感,乳头挺大 情绪价值描述: 【过程描述】:

3

11 Aug 2026, 02:58 UTC163 views1 reactionsread 12 August 2026

#杭州肯德基 https://t.me/kdjqjt #好评 85,服务主动,细致,嫩妹服务质量有待改进 【出击时间】:8.10 【出击老师】:婉 【联系方式】:@No_wanwan 【出击留名】:小青蛙 【开课位置】:上城 【修车水费】:工兵 【人照评分满分10】:9(相似度9,甜妹装扮) 【颜值评分满分20】:18(耐看,不算高颜值,跟照片相似度高,我喜欢邻家女孩,笑起来挺可爱,冷白皮哦) 【身材评分满分10】:9(皮肤白嫩,身材嫩妹里排前面,D的大胸但是不突兀) 【吊感评分满分20】:19(户型一线天,紧度紧,水量充足且润,包裹感强) 【服务评分满分10】:8(女友感强,服务三件套,但是挺认真的) 【态度评分满分20】:19(经过锻炼我希望服务会更上一层楼) 【环境评分满分10】:8(回迁房小区,房间挺干净) 【综合评分满分100】:90(嫩妹里算不错的,福建的妹子冷白皮,🐻有D,手感柔软无异物感,乳头挺大,很敏感,最后

👍1

10 Aug 2026, 09:21 UTC260 views1 reactionsread 12 August 2026

#杭州肯德基 https://t.me/kdjqjt #好评 85,服务主动,细致,嫩妹服务质量有待改进 【出击时间】:8.10 【出击老师】:婉 【联系方式】:@No_wanwan 【出击留名】:小青蛙 【开课位置】:上城 【修车水费】:工兵 【人照评分满分10】:9(相似度9,甜妹装扮) 【颜值评分满分20】:18(耐看,不算高颜值,跟照片相似度高,我喜欢邻家女孩,笑起来挺可爱,冷白皮哦) 【身材评分满分10】:9(皮肤白嫩,身材嫩妹里排前面,D的大胸但是不突兀) 【吊感评分满分20】:19(户型一线天,紧度紧,水量充足且润,包裹感强) 【服务评分满分10】:8(女友感强,服务三件套,但是挺认真的) 【态度评分满分20】:19(经过锻炼我希望服务会更上一层楼) 【环境评分满分10】:8(回迁房小区,房间挺干净) 【综合评分满分100】:90(嫩妹里算不错的,福建的妹子冷白皮,🐻有D,手感柔软无异物感,乳头挺大,很敏感,最后

1

10 Aug 2026, 04:08 UTC251 viewsread 12 August 2026

【推荐程度】: #超级好评 【优势】刚下海,态度好,会吸会夹 【不足】服务不是那么熟练 【出击时间】:8月9日 【老师花名】:#婉 (@No_wanwan) 【出击留名】:fu fu 【开课位置】:六堡 【修车水费】:工兵P 【高端服务】:有的打 ① 舌吻 ✅ ② 69舔逼 没要 ③ 情绪价值 ✅ ④ 毒龙 【人照评价】:人照9分,淡妆 【身材评价】:身高166,身材挺好的,很嫩 【胸部评价】:罩杯D,水滴型,乳头棕色,很软 【鲍鱼评价】:超级多水,做爱反馈真实 【服务评价】:服务到位, 【态度评价】:态度不错,无少做,过程无机车 【环境评价】:交通/出入方便,房间整洁 【过程描述】: #流程细节:(大于150字) 看到老师的工兵,莫名有一股熟悉的感觉,像我初中暗恋对象,于是果断报名出击,跟老师约好时间,晚上吃完饭直接出发,到地方由于最近有台风且雨下的非常大看不清,找了好一会

9 Aug 2026, 11:22 UTC327 viewsread 12 August 2026

杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】:#好评 【优势】白,胸大,态度认真 【不足】颜党慎 【出击时间】:8月9日 【老师花名】:#婉婉 @No_wanwan 【出击留名】:困困君 【开课位置】:六堡 【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】:人照一致,不是那种高颜值的类型,邻家少女 【身材评价】:有些肉感,很少量的纹身,很白 【胸部评价】:D,很大 【鲍鱼评价】:没主要看颜色,但是比较紧致,少女感 【服务评价】:该有的都有 【态度评价】:态度很好,非常乖巧配合 【环境评价】:小区房,房间干净,有一次性浴巾漱口水 【过程描述】: #流程细节: 知道今天有台风,但一天没出门的小狼完全没放在心上,欲火焚身,看到有嫩妹工兵上新便不犹豫拿下,驱车前往。路上开车还没什么

9 Aug 2026, 08:00 UTC333 views2 reactionsread 12 August 2026

Alex的大奶食谱: https://t.me/alexteamreport 【老师花名】:#婉婉 【上课费用】:工兵p 【上课区域】:#上城区钱江新城 【出击评价】:#超级好评 【出击狼友】:zj830 【老师特点】: #皮肤白皙,大D嫩妹,微Bbw #服务态度很好,热情腼腆 #情趣价值非常到位 【老师车牌】: @No_wanwan #硬件配置 (参考内容:身高166,体重100出头,年龄20出头,颜值属于领家清纯嫩妹,人照相似度9,身材微Bbw,胸型D,熊大,手感软糯,腰部赘肉少许,小穴户型适中,粉嫩敏感,屁股肥大结实,腿型适中 。 #服务内容 【陪浴】,【舔胸】,【口交】,【69】,【舌吻】 #情绪价值 有亲和力,特别有女友感,主动舌吻,简直是大蟒蛇,有一种初恋女友做爱的心动感觉。 #态度意识 非常听话乖巧,会主动服务,进门递水,面带微笑服务,陪浴后帮擦, #日感反馈 (本人体验了女上,传教士,后入,老师全称

2

9 Aug 2026, 07:37 UTC252 viewsread 12 August 2026

杭州出击协会福利群来啦💥 现金红包抽奖不停! 认准榜单老师,专属福利一手掌握 速进群: 🔣点这里进群🔣 https://t.me/hz18988

9 Aug 2026, 04:02 UTC348 viewsread 12 August 2026

https://t.me/hero5201 【推荐程度】: #超级好评 【优势】刚下海,服务热情,态度好,做爱反馈真实,大D纯天然 【不足】 【出击时间】:8月8日 【老师花名】:#婉 (@No_wanwan) 【出击留名】:再见 【开课位置】:上城的小区 【修车水费】:工兵P 【高端服务】:有的打 ① 舌吻 OK ② 69舔逼 OK ③ 情绪价值 OK很不错 ④ 毒龙 【人照评价】:人照9分,颜值OK,肉肉脸 【身材评价】:身高166,身材OK,皮肤很舒服 【胸部评价】:罩杯D+胸型滴水,乳头小棕色,皮肤手感滑嫩 【鲍鱼评价】:户型毛发少,紧度高湿度高,做爱反馈真实 【服务评价】:服务到位, 【态度评价】:态度不错,无少做,过程无机车 【环境评价】:交通/出入方便,房间整洁 【过程描述】: #流程细节:(大于150字) 【1】看到老师的新人信息情况,问了下老师,是自己在聊,

Showing the 12 most recent of 14 posts we hold for @Wanwan161618. 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 — 863,091 of 1,350,102entries 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.

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.

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.

“No.婉” (@Wanwan161618), 6 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Wanwan161618.

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.