园园花园 pinned a video

Channel
园园花园
@yuanyuanshiw
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
14,921subscribers
+581 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001625618340 |
|---|---|
| Type | Channel |
| Username | @yuanyuanshiw |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 30 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/yuanyuanshiw |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 81% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 05:19 | 14,921 | +139 |
| 16 Sept 2026, 18:17 | 14,782 | +77 |
| 15 Sept 2026, 00:42 | 14,705 | +63 |
| 13 Sept 2026, 07:39 | 14,642 | -2 |
| 8 Sept 2026, 17:36 | 14,644 | -8 |
| 5 Sept 2026, 13:20 | 14,652 | -9 |
| 3 Sept 2026, 12:37 | 14,661 | -1 |
| 1 Sept 2026, 07:45 | 14,662 | -17 |
| 31 Aug 2026, 09:14 | 14,679 | +13 |
| 30 Aug 2026, 10:24 | 14,666 | +22 |
| 29 Aug 2026, 12:14 | 14,644 | +20 |
| 28 Aug 2026, 12:13 | 14,624 | +31 |
| 27 Aug 2026, 12:58 | 14,593 | +41 |
| 26 Aug 2026, 13:13 | 14,552 | +42 |
| 25 Aug 2026, 15:34 | 14,510 | +61 |
| 24 Aug 2026, 12:36 | 14,449 | +70 |
| 22 Aug 2026, 20:45 | 14,379 | +4 |
| 21 Aug 2026, 13:12 | 14,375 | +3 |
| 20 Aug 2026, 10:43 | 14,372 | +15 |
| 18 Aug 2026, 10:08 | 14,357 | first reading |
Engagement
41 posts held, back to 1 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 51 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 22.5%
- avg views ÷ 14,921 subscribers
- Avg views / post
- 3,360
- 4 posts measured
- Reaction rate
- 0.089%
- reactions ÷ views · ER floor
- Posts in window
- 5
- of 41 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 31 August 2026 |
|---|---|
| Posts held | 41 (1 June 2026 – 31 August 2026) |
| Views total | 13,420 |
| Reactions total | 12 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 18:27 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
- 4m 44s
- Average length
- 28s
Measured directly from 10 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
116 reactions across 24 posts, in 4 distinct kinds. The most used accounts for 90.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 105 | 90.5% | |
| 👍 | 8 | 6.90% | |
| 🥰 | 2 | 1.72% | |
| 🤩 | 1 | 0.862% |
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 25 of the 41 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 116 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 1 June 2026 to 31 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
下个月北京见宝宝们
❤2
起床哟 起床哟
❤3
#越秀园涵 8月25日荣登广州学院名师榜 😀聊天群: @gzbbb 😀名师榜: @gzwww 👩🎓 郑重承诺: 高质量/真老师/真学生/活跃社区,若您在【广州学院】联系的老师货不对板,被骗定金,群主: @gz222 担保赔付!进群参加现金红包🧧! 立即加入 👆
❤2👍2
👩🎓 广州学院名师榜已验证 👤 📍 广州 #越秀 👤 名师 #园涵 💸 课费 1298P 2598PP 年龄:21 身高:170 体重:95 胸围:D 😀 标签⬇️ #舌吻 #六九 #高颜大胸 #S身材 ✈️ 私信 @yyuanhan👆查看评价
❤3
羊城晚报和你共同选择广州精品 群聊 https://t.me/+c1YbH0ENgcExNzhl
园园花园 pinned a video
广州开课啦! 园涵 短期开 北京来的大圈小姐姐 绝对本人 颜值高,皮肤白, 💘名字:园涵 💅:21 👠身高:170 🤔體重:95 👙熊圍: D真熊 来这个圈试试水😊,本人保证三点 假照免费 假胸免费 胖免费,我是有马甲线的 ❤️服务 69舌吻选择其一 🐻推 臀推,深厚 指滑 ,高跟鞋💋 絲襪 制👔 👙 熱情 ❤️🔥主動 性格溫柔 長相甜美 s身材 前凸後翹 茶水费 1688(一次50分钟) 桩机 喝酒 变态 素质低勿扰 电报号: @yyuanhan
❤3
园园花园 pinned a video
宝宝们,周末出去玩两天周一广州开课。
❤1
优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #南山 学生留名: #Swen 学生电报号: @Swen18 上课时间: 8月 老师花名: #园涵 老师电报号: @yyuanhan 上课花费: p 老师质量: 人照相符9分,服务态度9分,服务技能9分,情绪价值8分 ,环境卫生9分,有无陪洗:有 ( PS: 按照1到10打分 ) 服务内容: 帮洗,xcz,69,🐍 上课过程:今日深色丝袜配紧身长裙,人照一致,身高165左右。帮洗后帮擦开始服务,躺床直接骑上来三点服务,奶子C+,软软的,乳晕不大,手感好。口活不错,舒适,蝴蝶户型,毛量适中。进入正题,小穴紧致,配合开档丝袜,冲了会儿就流了很多水,转后入位,屁股上都是水,水量可以,腰臀比还行,整根插入,深入其中,能感受到夹和收缩,直接缴械,厉害!事后清洗也有帮擦,聊天顺…
❤3
优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #地区 学生留名: #ping xoxi 学生电报号: 上课时间: 20260817 老师花名: #园涵 老师电报号: @yyuanhan 上课花费: 1298 老师质量: nice 服务内容: 该有的都有,乳交点赞 上课过程: 遥控上楼,一身包臀连衣全特别有感觉。老师的妆容特别精致,颜控、御姐控的可以冲。多年未遇到可以乳交的妹子了,今天又体验一把乳交,非常的满意。后入过程中忍不住手撕了老师的黑丝,把大屁股全部露出来,视觉冲击拉满。老师全程配合满分,太舒服了。 优点缺点: 房间要是有个大镜子对着后入应该会很刺激 推荐程度: 推荐 需要提供预约记录或付款记录 ( 关键信息务必模糊处理 ) 没有群主只有玩家,纯分享纯交流群 深港汇优质师生交流群:@SZHKFriendsy…
Showing the 12 most recent of 41 posts we hold for @yuanyuanshiw. 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.
Posts edited after publishing
@yuanyuanshiw edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 31 August 2026
- Most recent edit
- 31 August 2026
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 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.
Names
Channels on the register whose handles appear in this channel's posts.
@SZHKFriends_bg · 3,2073 posts优质师生群(中转站)
@SZHKFriendsyzq · 18,9203 posts深圳香港老友会导航
@szxglyh_dh · 13,6103 posts深港汇出击笔记模板
@SHFriendsBG · 4402 posts广州学院
@gzbbb · 8,8701 post广州学院名师榜
@gzxy3 · 15,0621 post杭州无内鬼4.0
@wuneiguiyydds · 32,7611 post宁波美少女学生会
@yoyoningboliaotianqy · 14,7961 post朝花夕拾频道
@ZHXSChannel · 27,7391 post朝花夕拾
@ZHXSGroup · 12,2361 post
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“园园花园” (@yuanyuanshiw), 14,921 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/yuanyuanshiw.
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.