四方茶话会报告:https://t.me/Quartetchat 【妹子花名】:园涵 【联系方式】:@yyuanhan 【正文】: #硬件分析 170身高吧,属于丰满型,胸感觉有E超大,屁股很大也很翘,人照9成,御姐类型的,身上只有背后看到一行字的纹身,腿挺长,腿型比较好看。 #流程黄文 听群友们也讨论园涵很久了,这次回来开课也是竞拍了优惠券出击,按照老师导航进课室,课室在高档小区里面,里面装修比较普通,进门交了水费后进去洗澡,老师放好水和准备好漱口水,洗完后老师已经穿好开档的丝袜过来了,帮忙擦一擦后背,然后我躺在床上开始服务,一样是从胸部开始舔到下面,老师口的时间很长很卖力,会用胸做做乳交,服务过程中感觉挺爽的。随后开始女上,老师的女上非常用力,坐的很用力,而且速度还挺快,会掐掐乳头,舔一舔乳头,随后老师体力不支换我来,传教士的时候老师会揉揉自己的奶子,你别说这一对大奶看她揉真的很爽,我也上手开始揉,慢慢的来了感觉俯下身…

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
15,137subscribers
+797 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 |
| Description | 私聊 @yyuanhan 私聊机器人 @yyuanhan_bot |
| 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 | 6 November 2026 |
| Measurements held | 54 |
| Confirmed unchanged | 1 time, most recently 6 November 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 19:40 | 15,137 | -4 |
| 5 Nov 2026, 21:19 | 15,141 | -1 |
| 4 Nov 2026, 19:20 | 15,142 | +14 |
| 3 Nov 2026, 17:16 | 15,128 | +32 |
| 2 Nov 2026, 20:38 | 15,096 | +1 |
| 1 Nov 2026, 23:30 | 15,095 | -4 |
| 1 Nov 2026, 00:44 | 15,099 | -9 |
| 31 Oct 2026, 02:17 | 15,108 | -3 |
| 30 Oct 2026, 04:40 | 15,111 | -8 |
| 28 Oct 2026, 03:40 | 15,119 | -9 |
| 26 Oct 2026, 23:56 | 15,128 | -6 |
| 24 Oct 2026, 05:06 | 15,134 | +1 |
| 23 Oct 2026, 06:19 | 15,133 | +1 |
| 22 Oct 2026, 09:04 | 15,132 | -18 |
| 20 Oct 2026, 23:49 | 15,150 | -3 |
| 19 Oct 2026, 19:29 | 15,153 | -5 |
| 17 Oct 2026, 20:40 | 15,158 | +3 |
| 16 Oct 2026, 17:05 | 15,155 | +1 |
| 15 Oct 2026, 14:37 | 15,154 | +7 |
| 14 Oct 2026, 12:20 | 15,147 | first reading |
Engagement
55 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 60 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 28.5%
- avg views ÷ 15,137 subscribers
- Avg views / post
- 4,310
- 8 posts measured
- Reaction rate
- 0.046%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 55 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 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 55 (1 June 2026 – 7 November 2026) |
| Views total | 34,454 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 05:37 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
- 30
- Videos
- 61
- Links
- 28
Lifetime counters from Telegram’s own channel header, read 7 November 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
- 6m 11s
- Average length
- 27s
Measured directly from 14 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
137 reactions across 30 posts, in 4 distinct kinds. The most used accounts for 92.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 126 | 92.0% | |
| 👍 | 8 | 5.84% | |
| 🥰 | 2 | 1.46% | |
| 🤩 | 1 | 0.73% |
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 31 of the 55 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 137 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 55 most recent posts we hold, published 1 June 2026 to 7 November 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
Telegram’s own ‘edited’ marker: 0 of 11 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
四方茶话会报告:https://t.me/Quartetchat 【妹子花名】:#园涵 【联系方式】:@yyuanhan 【正文】: #硬件分析 人照九成,温柔长腿御姐大蜜风,丰乳肥臀,罩杯真的有E那么大,而且没什么赘肉,腰很细。 #流程黄文 建邺高档小区,见面给上水费,简单冲洗,老师会帮忙擦后背,递上漱口水。进房间后老师主动换上丝袜,把我压在身下亲胸,,老师都胸实在是太大了。这么瘦的人。这么大的胸,还是纯天然,视觉冲击很大,口的时间也很久,不说停会一直各个方向继续口。体验了一下乳交,可以把我的牛牛深深埋住。吉吉硬了就直接传教士起手,可惜自己今天状态不佳。养胃了,草草结束战斗!意犹未尽 #课后感 园涵是综合素质很高的一位老师。颜值情绪价值身材服务都不错 #综合评价(超级好评/好评/中评/差评)好评
【妹子花名】:#园涵 【标签归类】:#大胸 #腺体胸 #口活好 #开朗健谈 #女友感 【体验细节】:人照相符度不错,进门第一眼就被胸前风景吸引,腺体胸,手感微硬但形状很挺,适合胸控狼友。妹子性格开朗,不冷场,坐下来聊了会天,氛围很自然。简单冲洗后进入正戏,先让她口,没想到口活是隐藏亮点,时间很长,节奏也稳,不喊停就不停,差点在第一关就交代了。随后让她躺下体验乳交,大胸夹住牛牛包裹感很强,视觉冲击拉满,果然大胸不乳交等于白来。玩了一会传教士进入,妹子配合度高,全程不敷衍。中间换姿势也很顺,累了就靠在一起聊两句,像女朋友一样自然。最后后入结束战斗,一起洗了洗,又聊了会才走人。 【硬件分】:颜85、胸95、臀90、腿81、腰82、肤83 【软件分】:态度90、主动88、情绪价值88、性价比89 【妹子属性】:开朗健谈大胸妹 【综合评级】:#A级 【适合人群】:适合喜欢大胸、偏爱乳交和长口活的狼友。最大的亮点就是胸大形好加口活持久,性格…
❤2
四方茶话会报告:https://t.me/Quartetchat 【妹子花名】 园涵 【联系方式】: 【正文】: #硬件分析 胸大腰细,魔鬼身材 #流程黄文 姐姐口活真的可以点名表扬,平时我都算比较难出的姐姐给我口了很久口的真的是快受不了了,戴上坐上来真的顶不住姐姐的腰力123了 #课后感 姐姐人照无差别超级胸器 无敌榨汁机,对自己有信心的友友可以来挑战,这价位真的无敌 #综合评价超级好评 出击结束请在十日内出报告,过时不加积分(投递时请把此句删除)
南京建邺区 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 1298(一次50分钟) 桩机 喝酒 变态 素质低勿扰 电报号: @yyuanhan
❤5
园园花园 pinned Deleted message
园园花园 pinned «哥哥们实在抱歉,天气降温严重,今早高烧一直不退,给我烧迷糊了,我叫我朋友来送我去医院,上海暂时不开了。实在抱歉对不起期待的小哥哥们。»
哥哥们实在抱歉,天气降温严重,今早高烧一直不退,给我烧迷糊了,我叫我朋友来送我去医院,上海暂时不开了。实在抱歉对不起期待的小哥哥们。
❤1
📌91公馆认证,只上好菜😌 【#园涵】@yyuanhan 频道 【课费】#1298P 【地址】#上海 #长宁 【标签】#嫩妹 #69式 #舌吻 #陪浴 #颜值 #巨乳 【报告文】 【狼友认证】 ➡️激情群聊⬅️ 🛫搜索指引🛫 ⚠️狼友认证只能确保货对版,拒绝高美颜,AI等。其他概不负责。😛 1个7折工兵竞拍
❤1
园园花园 pinned a video
上海长宁 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 1298(一次50分钟) 桩机 喝酒 变态 素质低勿扰 电报号: @yyuanhan
❤6
园园花园 pinned Deleted message
Showing the 12 most recent of 55 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 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.
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.
@Quartetchat · 25,4053 posts深圳香港老友会报告频道(中转站)
@SZHKFriends_bg · 3,0693 posts优质师生群(中转站)
@SZHKFriendsyzq · 20,7403 posts深圳香港老友会导航
@szxglyh_dh · 13,8963 posts深港汇出击笔记模板
@SHFriendsBG · 5212 posts广州学院
@gzbbb · 11,2691 post广州学院名师榜
@gzxy3 · 21,8651 post广州学院必吃榜
@gzxybcb · 2,4031 post(杭州-上海)91公馆认证中心
@jiuyigongg · 40,5861 post(杭州-上海)91公馆
@jiuyigongguann · 26,8671 post南京四方测评1.0
@Quartet_Reviews · 17,1491 post杭州无内鬼4.0
@wuneiguiyydds · 36,9701 post宁波美少女学生会
@yoyoningboliaotianqy · 18,4511 post朝花夕拾频道
@ZHXSChannel · 27,5531 post朝花夕拾
@ZHXSGroup · 11,8701 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“园园花园” (@yuanyuanshiw), 15,137 subscribers as measured 6 November 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.