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Telegram profile photo for 媛媛的后花园

Channel

媛媛的后花园

@jshswjwjjsj

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

249subscribers

+10 since we began measuring on 12 September 2026

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

Register entry

Telegram ID-1004323893382
TypeChannel
Username@jshswjwjjsj
CreatedBetween 1 June 2026 and 20 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 September 2026
Last confirmed live13 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 September 2026
On Telegramt.me/jshswjwjjsj

Growth

23924924412 Sept 2026, 19:47 — 239 subscribers12 Sept 2026, 20:22 — 239 subscribers13 Sept 2026, 15:39 — 249 subscribers12 Sept 2026, 19:4713 Sept 2026, 15:39
3 measurements taken within a single day, net +10. 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 238–251 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Sept 2026, 15:39249+10
12 Sept 2026, 20:22239no change
12 Sept 2026, 19:47239first reading

Engagement

20 posts held, back to 20 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
70.3%
avg views ÷ 249 subscribers
Avg views / post
175
1 post measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
1
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 September 2026
Posts held20 (20 July 2026 – 11 September 2026)
Views total175
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Sept 2026, 20:22 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

Video runtime
29s
Average length
15s

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

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 6 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 7 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 20 July 2026 to 11 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

22 Aug 2026, 04:09 UTC463 views0 reactionsread 12 September 2026
Forwarded from @whlou4

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #武昌 #上门 #嫩妹 #8p #15pp 👤 老师:媛媛 (@yuan12337) 🔗 主页:https://t.me/wuhanhua1/17848?single ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 上门,妹子画好妆来的。听安排不事儿逼。人和视频一致,真实年龄鲜嫩可口,人也挺健谈,服务热情,脾气好。因为刚下海,技能熟练度欠缺,需要各位司机调教一二。 ━━━━━━━━━━━━━━ 🙋 评价人:匿名 🕒 时间:2026-08-22 02:50 ━━━━━━━━━━━━━━ 黄鹤楼群 @wuhanlou 技术聊天 @whlou6 武汉东湖 @whlou 工兵优惠 @whlou7 …

11 Aug 2026, 23:56 UTC637 views1 reactionsread 12 September 2026
Forwarded from @whlou4

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #武昌 #上门 #嫩妹 #8p #15pp 👤 老师:媛媛 (@yuan12337) 🔗 主页:https://t.me/wuhanhua1/17848?single ⭐ 综合:★★★★☆ 4/5 ├ 🎯 技能:★★★☆☆ 3/5 ├ 💗 情绪:★★★★☆ 4/5 ├ 🏡 环境:★★★★☆ 4/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 晚上睡不着 老师还在线果断约了个包夜 老师来的路上挺期待的 一进门果然人照一致没有让我失望激动的心情让我不知道该干什么了 老师长得特别精致雪白的皮肤和和漂亮的脸蛋身材也是前凸后翘 做爱的时候雪白的奶子在我眼前晃着让我欲罢不能光滑的大腿放在我的肩膀上视觉体验太完美了 出水后我猛然发现老师下面全是水湿漉漉的老师陪我聊了很多日常生活 情绪价值很到位 喜欢嫩妹的一定要冲 简直是物有所值 ━━━━━━━━…

❤1

2 Aug 2026, 11:13 UTC≈1,340 views2 reactionsread 12 September 2026
Forwarded from @whlou4

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ 1 👤 老师:媛媛 (@yuan12337) 🔗 主页:https://t.me/wuhanhua1/16207 ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 照片就是真人,嫩得出水,就是年纪比较小,需要学的东西还挺多,但是任盘听话,值得二刷 ━━━━━━━━━━━━━━ 🙋 评价人:匿名 🕒 时间:2026-08-02 17:01 ━━━━━━━━━━━━━━ 黄鹤楼群 @wuhanlou 技术聊天 @whlou6 武汉东湖 @whlou 工兵优惠 @whlou7 车评报告 @whlou4 查找老师 @vlchattbot

❤2

2 Aug 2026, 08:24 UTC≈1,190 viewsread 12 September 2026
Forwarded from @whlou4

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ 1 👤 老师:媛媛 (@yuan12337) 🔗 主页:https://t.me/wuhanhua1/16207 ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 上门到门口接的妹妹,一眼就是大美女,脸是白嫩白嫩的娃娃脸,跟洋娃娃似的,反正站在那里啥都不用做你就会感觉到开心愉悦,妹妹性格也很好,进来带我进去帮我洗澡,洗完回床上就开始跟我一边聊天一边帮我调情,技巧上可能花样不多但是架不住妹妹长年轻,火热之后带上套套就开始了,妹妹那张脸看着简直就是享受,她说我太大了疼,我就一开始慢慢的进去。妹妹偶尔无辜的眼睛看着我,太夯了。 ━━━━━━━━━━━━━━ 🙋 评价人:匿名 🕒 时间:2026-08-02 14:2…

31 Jul 2026, 14:42 UTC≈1,080 views3 reactionsread 12 September 2026
Forwarded from @whlou4

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ 1 👤 老师:媛媛 (@yuan12337) 🔗 主页:https://t.me/wuhanhua1/16207 ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 今天闲来无事,看到群里面的老师一下被吸引住,是我喜欢的类型,然后果断报名,跟老师约好时间,到酒店楼下接到,一见面老师冲我甜甜一笑瞬间感觉爆棚确实清纯靓丽身材又好,赶紧叫一起上去,进门抓紧时间交了水费,然后一起洗澡,来到床上老师换了双情趣黑丝,很主动小嘴凑过来,小舌头软软糯糯好吃有股淡淡清香,一番后给我舔胸舔蛋蛋,抓着我的小弟弟就一顿口口活真不错,小舌头很灵活,时间够久没有急忙了事,然后我让带上戴开始进入小穴,很润很紧小穴毛量很少,一边插着一边摸着白白…

❤2💩1

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

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

“媛媛的后花园” (@jshswjwjjsj), 249 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/jshswjwjjsj.

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.