【体验评分】:9 【人照几成】:9 【验证时间】:2026.8.28 【妹子艺名】:剧情女王野又湿 【联系方式】:@wzdm678 【所在位置】:浦东 【上课水费】:1000p 【服务类型】:剧情 【服务态度】:好 【优点缺点】:服务顶 【整体补充】:高档小区环境优,姐姐警惕性高。进门就开始了扮演,顺手交上本月生活费。洗完澡给挑了衣服,服务到位,手法轻柔很照顾弟弟感受。镜子沙发桌子前都体验了一下。结束不催钟还聊了一会哲学。流连忘返,总之好评。 标签: @wzdm678 #湿湿 1000p #浦东 点击跳转原始报告【需先加群】 反馈狼友: ohaode 时间:2026-08-28 18:59:54 报告ID:17894 当前进度:1/20

Channel
剧情女王野又湿
@saftyr
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
998subscribers
+4 since we began measuring on 29 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003805562438 |
|---|---|
| Type | Channel |
| Username | @saftyr |
| Created | Between 1 February 2026 and 21 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 29 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/saftyr |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 09:04 | 998 | +4 |
| 29 Aug 2026, 07:00 | 994 | first reading |
Engagement
19 posts held, back to 21 July 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
- 113.1%
- avg views ÷ 998 subscribers
- Avg views / post
- 1,130
- 9 posts measured
- Reaction rate
- 0.086%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 19 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 5 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 August 2026 |
|---|---|
| Posts held | 19 (21 July 2026 – 29 August 2026) |
| Views total | 10,155 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 07:00 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
- 16s
- Average length
- 8s
Measured directly from 2 videos 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
12 reactions across 7 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 12 | 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 11 of the 19 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 21 July 2026 to 29 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
床上无君子,塌上无淑女。💦💦💦
【所在位置】: 上海浦东 【老师艺名】: 湿湿老师 @wzdm678 【出击人】干人干到心脏病发作 【验证时间】: 8.23 【颜值身材】: 8分 人照8分 【服务内容】: ab面,舌吻,69,毒🐉,潮喷,剧情,什么都有,全自动服务 【服务态度】: 10 【优点缺点】:服务天花板 ,体验过的老师中TOP1 【推荐程度】:10 【体验细节】:昨天去的,体验完回家呼呼大睡了,今天写报告,必须得写报告夸夸。 老早就预约了昨天下午的课程,谁知老师临时通知可以提早到,我二话不说便收拾出发。出了地铁,还要走上一段路才到那片高档小区,门禁森严,隐私极好,院内清一色泊着BBA级别的座驾。走进工作室,环境比想象中更精致,开放式厨房连着阳台,家电全是智能款,连空气里都透着股洁爽的气息,一如每天都有专人打理过的酒店套房。 约课前就说定要玩小妈的剧情,门一开,老师已入了戏,遥控门刚合上,她便凑过来,鼻息热热地贴在我颈侧,像在嗅一个刚打完篮球回家的少…
和骚气小哥哥交了个朋友,互知深浅长短的那一种💦💦💦
❤1
1. 关于剧情1: 剧情大概是外甥在小姨家附近上大学,放假去小姨家里玩,然后晚上睡觉的时候,忍不住偷偷摸小姨,小姨被摸醒之后,因为也好久没做了,半推半就和外甥做了。 2. 关于整个流程细节重点: 我觉得玩角色,其中最好玩的地方就在于角色互相之间拉扯的那段,就是从本来的正常关系突破到不伦的非正常关系这段过程。具体来说,就是外甥在摸小姨的时候,小姨发现了外甥在摸,一开始还是装睡,内心在沉思纠结,再到有点享受这个被摸过程,再到实在被摸得忍不住醒来但还是放不开,第一反应是制止外甥,边制止自己又不甘,还是希望能和外甥发生点什么,整个过程很纠结,反反复复,慢慢地放开自己身体,配合外甥,再到开始说骚话,完全放开,疯狂释放情绪。至此这个拉扯的过程就结束了。我最享受的就是这一段拉扯的过程,总之,不是我们双方一碰就直接干柴烈火了,那样就没啥乐趣了。 3.关于沉浸:我希望从一开始入门我们就直接进入小姨的剧情,那希望小姨穿代表着成熟女人的丝质或居家…
❤2
午夜放逐,“大佬,求带飞。”
和《暴风雨》来个浪漫的邂逅吧!💦💦💦
❤1
【体验评分】:9.5 【人照几成】:9 【验证时间】:2026.8.6 【妹子艺名】:剧情女王野又湿 【联系方式】:@wzdm678 【所在位置】:浦东 【上课水费】:500p 【服务类型】:剧情潮喷 【服务态度】:好 【优点缺点】:服务顶 【整体补充】:中了个剧情的半价,怀着忐忑的心出击了。老师小区很新,环境不错,房间装修也很豪华。一进门老师就来了个大大的拥抱和香吻。帮洗完毕,选择了剧情。我选择了办公室同事,抓住了老师的把柄,狠狠地调戏了老师,老师很配合,满足各种要求,甚至还潮喷了。然后进入高潮,换着各种姿势,可能是尝试的姿势太多了,反而射不出来了,然而老师不厌其烦,哪怕超时了,也帮我弄到射出,非常完美的体验。整个过程如同AV男主,非常不同寻常。还会再刷。 标签: @wzdm678 #湿湿 1000p #浦东 点击跳转原始报告【需先加群】 反馈狼友: zzzzz 时间:2026-08-06 14:57:18 报告ID:16…
❤2
@wzdm678 湿湿老师在收藏夹躺很久了,燥热的天气赶紧约上老师消消火。这次选测了剧情,骚气的湿湿老师真的超会的,带着我玩,老师还没使出3成功力我就交代了,喜欢服务和御姐的不容错过,中场休息时间也很能聊天,时间过的真的好快,期待之后再一次的相约。 标签: @wzdm678 #湿湿 1000p #浦东 #剧情 点击跳转原始报告【需先加群】 反馈狼友: ZigZag 时间:2026-08-04 13:54:04 报告ID:16426 当前进度:1/12
湿湿老師捲起一隻襪子從腳尖套下去,然後又捲起另一隻套到另一隻腳上,當連褲襪穿到大腿時,湿湿老師接著把褲襪穿了起來,穿好褲襪後陳老師的整個陰部就露在我劃開一個洞的絲襪外面,我撲上去按倒湿湿老師,一邊撫摩著剛剛穿好褲襪的絲腿,一邊吸吮起帶有淡淡醬酸味的絲腳,我又把湿湿老師的兩隻絲腳夾住陰莖上下套弄起來,湿湿老師也很配合主動幫我腳交,撫摩著這雙性感的絲腿,看著湿湿老師那勾魂的眼神,讓湿湿老師背對著我跪在床上,整個連褲絲襪美臀展現在我面前,握著陰莖插進了湿湿老師露在褲襪外的陰道裡,抱著這雙透明灰色連褲絲襪下的美臀,恨恨抽插著陳老師的陰道,湿湿老師呻吟著說「啊……啊……你這個……傢伙……一穿上……絲襪……就……變得……變得……那麼厲害……啊……啊……以後……我……以後……我……啊……都穿著絲襪……絲襪……讓你幹……好嗎……絲襪……啊……啊……」 我一邊幹著她一邊說「好阿……我要把你的絲襪都撕爛……讓你穿上再幹你……每次幹你……你都穿上絲…
❤1
这次出击时间紧迫,和老师提前约好了时间,就义无反顾的出发了,奈何司机定位有误会多走了800多米才到地方,天气炎热再加上小雨,心情糟糕透了,还好老师很温柔一口一个宝贝,不紧不慢的进入状态,虽然没有选择剧情,但是老师主动安排不同场景和体位供我享受,真的很不错,最终看到了惊天的潮喷,次数都忘了有多少次了,只记得中间换了尿垫。最后两次出水,满意而归。下次还来!!
浦东 野又湿 的频道(剧情/潮喷) 上班了🥰有空滴滴 预约Tg: @wzdm678 双向机器人:@yede666_bot
Showing the 12 most recent of 19 posts we hold for @saftyr. 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 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.
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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“剧情女王野又湿” (@saftyr), 998 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/saftyr.
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.