年龄:04 体重:90 身高:168 胸围:D 位置: 普陀区 💰课时费:1500p 45min 2500pp 80min 外出pp 联系老师 @jiajia88659 老师屏道https://t.me/xiaoou3256 📃课程内容:69 🐍💋kiss💋 鸳鸯浴🛀🏻 特色口🔥 调情 制服 👗多套 jk 裸吹 不机车 态度炒鸡好 极度配合 不事逼 说话好听 听话又乖巧 情绪价值拉满 人照无差,气质女神范,三点粉🌸 蜜桃臀🍑 身体敏感 紧致💦多 会夹会吸 禁忌: 桩基 磕药 拔套 粗鲁 口臭 口嗨 鸽子 皮肤病 屌特大 吸毒 醉酒 低素质 标签: 身材好 颜值系 服务系 性价比

Channel
上海爬山大队认证榜
@sh6856
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
20,385subscribers
+1,491 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001847248552 |
|---|---|
| Type | Channel |
| Username | @sh6856 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/sh6856 |
Topic
Adult — 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 93% 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 |
|---|---|---|
| 18 Sept 2026, 17:57 | 20,385 | -22 |
| 16 Sept 2026, 08:00 | 20,407 | -34 |
| 14 Sept 2026, 17:21 | 20,441 | +87 |
| 13 Sept 2026, 04:01 | 20,354 | -68 |
| 11 Sept 2026, 03:37 | 20,422 | -20 |
| 8 Sept 2026, 05:17 | 20,442 | -49 |
| 4 Sept 2026, 22:19 | 20,491 | +27 |
| 3 Sept 2026, 09:19 | 20,464 | -27 |
| 2 Sept 2026, 06:28 | 20,491 | -113 |
| 1 Sept 2026, 06:06 | 20,604 | -87 |
| 31 Aug 2026, 04:27 | 20,691 | -30 |
| 30 Aug 2026, 07:03 | 20,721 | -38 |
| 29 Aug 2026, 06:04 | 20,759 | -37 |
| 28 Aug 2026, 07:04 | 20,796 | +3,022 |
| 27 Aug 2026, 03:35 | 17,774 | -36 |
| 26 Aug 2026, 01:59 | 17,810 | -176 |
| 25 Aug 2026, 04:08 | 17,986 | -8 |
| 24 Aug 2026, 00:47 | 17,994 | +107 |
| 22 Aug 2026, 11:46 | 17,887 | -41 |
| 21 Aug 2026, 04:15 | 17,928 | first reading |
Engagement
9 posts held, back to 27 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 41 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.50%
- avg views ÷ 20,385 subscribers
- Avg views / post
- 307
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 9 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 2 September 2026 |
|---|---|
| Posts held | 9 (27 July 2026 – 2 September 2026) |
| Views total | 613 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 00:16 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
- 43s
- Average length
- 9s
Measured directly from 5 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
4 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 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 5 of the 9 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 27 July 2026 to 2 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
艺名: 萝莉范范 地址: 虹口区 价格 1200/p 2200/pp 验证: 已视频验证 私聊老师 @fanfang5 个人频道 :https://t.me/faang4 福利花园:https://t.me/fanfang4 双向机器人 @ffang6bot
艺名: 仟仟 个人频道: t.me/kaixinzuida02/3 私聊老师: @kaixinzuida1 双向机器人 : @qianqianzhuli123_bot
❤1
上海各地区有,🉑上门,🈶地方,00后,学生妹,少妇,三通,SM,鸳鸯浴,制服诱惑,无套,小妹听话,应有尽有,明码标价无套路,见面满意后付,🌟一手高端资源不满意可退换 靠谱做事 诚信做人 主打回头客 资源充足,应有尽有👇 平价2-3k/pp 高端2500/p起 上海频道:https://t.me/sn7777sn 客服: @Sn0617520 双向:上海优惠力度最大,诚意满满,一对一用心服务,选择我让你少走弯路
❤1
名字:小婷 年龄:18 身高:168cm 体重: 110斤 罩杯: 超白D+ 地址:浦东临港 ❤️价格:600p时长:45分钟 ❤️❤️价格: 1200pp时长:90分钟 按小时500 1h 三个小时起 1h1❤️ 多个群友认证 非常靠谱 强烈推荐推荐 无脑冲 电报号: @joker43330 机器人:https://t.me/joker4330bot 老师频道: https://t.me/joker666888999 有反馈 妹子QQ:3775781589注明来意 3859763782 防失联与你号:joker4330尽量失联再加 推荐加三条号:abc684330 服务: 陪洗澡 制服诱惑 丝袜诱惑 缩阴 各种姿势爱爱 鸳鸯浴 丝袜诱惑 情趣诱惑 调情 禁止🚫假钞、嗑💊、拔套、变态、低素质 偷拍
❤1
名字:小婷 年龄:18 身高:168cm 体重: 110斤 罩杯: 超白D+ 地址:浦东临港 ❤️价格:600p时长:45分钟 ❤️❤️价格: 1200pp时长:90分钟 按小时500 1h 三个小时起 1h1❤️ 多个群友认证 非常靠谱 强烈推荐推荐 无脑冲 电报号: @joker43330 机器人:https://t.me/joker4330bot 老师频道: https://t.me/joker666888999 有反馈 妹子QQ:3775781589注明来意 3859763782 防失联与你号:joker4330尽量失联再加 推荐加三条号:abc684330 服务: 陪洗澡 制服诱惑 丝袜诱惑 缩阴 各种姿势爱爱 鸳鸯浴 丝袜诱惑 情趣诱惑 调情 禁止🚫假钞、嗑💊、拔套、变态、低素质 偷拍
❤1
小欧老师的D杯看着就很正,真人比照片还带点女神范。进门后先去鸳鸯浴,水温调好她就自己脱了进来,三点粉嫩,蜜桃臀在水里晃的时候视觉冲击很强。洗的过程里她很配合,会主动帮忙擦背,偶尔抬头对视还带点笑,态度炒鸡好,完全不事逼。洗完直接做特色口,她跪着的时候很乖,先用舌头慢慢舔,再整根含进去,会吸会夹,节奏自己掌控得很好。中间抬头看我的眼神又纯又欲,声音软软地问“这样可以吗”,听着就很加分。身体敏感得不行,手指随便碰一下大腿内侧就轻抖,水也很多。整个过程听话配合到让人很放松,情绪价值拉满,出来的时候心情都变好了。推荐。 老师联系方式 @jiajia88659
年龄:04 体重:90 身高:168 胸围:D 💰课时费:1500p 45min 2500pp 80min 外出pp 联系老师 @jiajia88659 老师屏道https://t.me/xiaoou3256 📃课程内容:69 🐍💋kiss💋 鸳鸯浴🛀🏻 特色口🔥 调情 制服 👗多套 jk 裸吹 不机车 态度炒鸡好 极度配合 不事逼 说话好听 听话又乖巧 情绪价值拉满 人照无差,气质女神范,三点粉🌸 蜜桃臀🍑 身体敏感 紧致💦多 会夹会吸 禁忌: 桩基 磕药 拔套 粗鲁 口臭 口嗨 鸽子 皮肤病 屌特大 吸毒 醉酒 低素质 标签: 身材好 颜值系 服务系 性价比
名字:新人冰冰(大学生兼职) 来自:湖南 年龄:06 身高:162 体重:97 罩杯:B+ 一次价格1000p时长40分钟 二次价格2000p时长80分钟 包夜价格5000。时长8小时 城市:上海 地区:闵行 标签: 身材好 颜值系 服务系 性价比 娇小 长腿 嫩妹 皮肤白 长发 真胸 兼职 水蛇腰 美臀 玉足 三点粉 水多 不抽烟 服务: 无套口 鸳鸯浴 有套爱爱 丝袜诱惑 高跟鞋诱惑 调情 水中萧 吸蛋蛋 陪聊天 简单按摩 (可外出,需提前给来返车费) 私聊: @tw318tw 双向联系 @bbyy86bot
Showing the 9 most recent of 9 posts we hold for @sh6856. 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.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@sh6856 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 9 posts, 12 August 2026 – 27 August 2026 · confirmed gone 12 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“上海爬山大队认证榜” (@sh6856), 20,385 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/sh6856.
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.