Channel
@suzhoukunshanpingjiabang
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
9subscribers
+2 since we began measuring on 27 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003965080299 |
|---|---|
| Type | Channel |
| Username | @suzhoukunshanpingjiabang |
| Created | 26 June 2026 — measured — dated from the channel’s first post |
| First recorded | 27 September 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/suzhoukunshanpingjiabang |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 19:22 | 9 | +2 |
| 27 Sept 2026, 19:22 | 7 | no change |
| 27 Sept 2026, 18:48 | 7 | first reading |
8 posts held, back to 26 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 1 page of Telegram’s post history, 20 posts per page.
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 13 September 2026 |
|---|---|
| Posts held | 8 (26 June 2026 – 13 September 2026) |
| Views total | 910 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 19:22 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.
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 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 2 of the 8 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 26 June 2026 to 13 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.
【时间】：2026-09-11 【老师】：小洋 【电报】：@yandjdjd 【留名】：糯米 【人照】：8 【态度】：10 【环境】：8 【综合】：8.5 【过程】：很幸运抽到了妹妹的pp优惠，立刻预约 小洋妹妹芳龄20出头，年轻的皮肤真好，很滑又白，无纹身，不抽烟，化了淡妆就挺漂亮了，是大熊妹妹，握着非常舒服，全程手就没舍得离开这么好的熊 只做上门，我就近开房，舒舒服服等妹妹过来 全程女友陪伴式服务，顶级态度，顶级情绪价值，无限量舌吻，随时要随时有，约的pp，待了2个半小时，妹妹跟我一直躺着抱着陪伴着聊着，我看待的时间挺久了，有点不好意思，主动说的这次到这，下次再见 妹妹很敏感，很喜欢并且享受做爱，姿势完全配合，这种双方都享受其中的感觉真的很棒 苏州昆山快乐屋 https://t.me/kunshankuailewu @duleisiduleisi 投稿、投诉。例如 : 某某某 苏州昆山快乐屋
Signed 小小 嘿
【时间】：2026-08-23 【老师】：初瑶抓龙筋 【电报】：@chuyao147 【留名】：Tom 【人照】：8 【态度】：10 【环境】：8 【综合】：8.5 【过程】：老师身材很棒，皮肤很好，搂到怀里香香软软的。态度非常好，手法也到位。总之非常不错，会再来 苏州昆山快乐屋 https://t.me/kunshankuailewu @duleisiduleisi 投稿、投诉。例如 : 某某某 苏州昆山快乐屋
❤1
Signed 小小 嘿
【时间】：2026-08-09 【老师】：猫猫 【电报】：@ybsjzns124 【留名】：小山煤 【人照】：8 【态度】：9 【环境】：9 【综合】：9 【过程】：台风天听说妹子到我们这穷乡僻壤来扶贫，太感动了，直接打个车就出发。房子在小区刚租好，开门一看，嚯，就一小孩子，真的嫩，纯素颜双马尾，一身黑色没穿内内，人照没啥差别，萝莉控大喜，，说话软软糯糯的，还带俏皮音，身材不错胸b＋吧在嫩妹里算大的，有纹身，说今天就接我一个，受宠若惊。快速洗完，在床上聊了一会，妹子很能说，i人去不会感觉尴尬，，叭叭半天直接亲过去，好家伙大蟒蛇，还会吸，是真的吃饱，素颜没有粉，吃的超开心，，全身亲一遍，下面也没有味道，jiojio又小又嫩，把玩了好久，，上正题，我不喜欢口，就直接传教士进入，暖暖滑滑的，一边蛇一边动超爽，后来123了，，，，特别说明下，妹子前面被某大哥桩坏了，一直有点疼，看着心疼！有些人真的是花了钱就是大爷，一定要桩出货？一般桩不…
❤2
Signed 小小 嘿
【时间】：2026-08-09 【老师】：猫猫 【电报】：@ybsjzns124 【留名】：bo 【人照】：9 【态度】：9 【环境】：9 【综合】：9 【过程】：看到群里的消息，昆山突然来个嫩妹，立马冒雨出击，按照指示上门，一见到小腰精惊艳，穿着小短群身材娇小，打着耳洞就像前几天去酒吧的辣妹，那个A4腰不得叫小腰精，摸了胸几把真的好软，瞬间就有感觉，老师服务特别温柔有感觉 奶头好精致 爱不释口，做爱时老师全身好敏感 声音好嗲，特别有成就感，双手扶着小蠻腰，一进一出，瘦小的身材，抱起来边吸边X，又湿又热的小穴加上那酥麻的声音真的让人无法自拔，彷佛置身在谜片自己当男主角，精致的五官，今天太值 了 苏州昆山快乐屋 https://t.me/kunshankuailewu @duleisiduleisi 投稿、投诉。例如 : 某某某 苏州昆山快乐屋吧
【时间】：2026-08-03 【老师】：初瑶抓龙筋 【电报】：@chuyao147 【留名】：小 【人照】：9 【态度】：9 【环境】：9 【综合】：9 【过程】：老师很热情周到哈，刚进门老师就问需要不要喝水，然后会很细心温柔的让你和她一起上楼，会主动帮你脱衣服和擦背，各种琳琅满目的衣服可供选择，表示已经看花眼了，妹妹还会很温柔的让你躺下来，说要开始了，从后背开始各种的油推，指滑，胸推呼吸，让人爽极了，再到正面的乳头，足交，胸推。以及最后的压轴—抓龙根和前列腺刺激，手法很熟练，技术没得说，很不一样的感觉，做完整个人都香气飘飘的，建议没做过的，可以试试看，绝对不一样的体验👍 苏州昆山快乐屋 https://t.me/kunshankuailewu @duleisiduleisi 投稿、投诉。例如 : 某某某 苏州昆山快乐屋
Channel name was changed to «苏州昆山快乐屋老师报告»
Channel photo updated
Channel created
Showing the 8 most recent of 8 posts we hold for @suzhoukunshanpingjiabang. 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.
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.
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“苏州昆山快乐屋老师报告” (@suzhoukunshanpingjiabang), 9 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/suzhoukunshanpingjiabang.
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.