👣艺名: 秋秋 #长宁 💵课费: 1400p 2800pp ✏资料: 165cm 48kg 胸B 🔖标签: #手势认证 07年 留学生 嫩妹 舌吻 六九 车震 兼职 #秋秋 ✉联系: @yyeuehu 🤖双向: @hegeveijehebot (备注“学院推荐”进VIP群) 📝【作业反馈01】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🪙学院币

Channel
上海【学院】总榜
@shxyls
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
88,002subscribers
+20,385 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002298630178 |
|---|---|
| Type | Channel |
| Usernames | @shtopzb @shxyls |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 120 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/shxyls |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 94% 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, 08:08 | 88,002 | +44 |
| 6 Nov 2026, 02:40 | 87,958 | +406 |
| 5 Nov 2026, 06:10 | 87,552 | +21 |
| 5 Nov 2026, 03:47 | 87,531 | +279 |
| 4 Nov 2026, 05:47 | 87,252 | +2 |
| 4 Nov 2026, 04:46 | 87,250 | +252 |
| 3 Nov 2026, 08:06 | 86,998 | +6 |
| 3 Nov 2026, 01:59 | 86,992 | +165 |
| 2 Nov 2026, 06:00 | 86,827 | +51 |
| 2 Nov 2026, 01:49 | 86,776 | +210 |
| 1 Nov 2026, 08:20 | 86,566 | +61 |
| 31 Oct 2026, 23:06 | 86,505 | +232 |
| 31 Oct 2026, 06:39 | 86,273 | +4 |
| 30 Oct 2026, 19:49 | 86,269 | +245 |
| 30 Oct 2026, 05:00 | 86,024 | -35 |
| 29 Oct 2026, 22:28 | 86,059 | +257 |
| 29 Oct 2026, 06:56 | 85,802 | +84 |
| 28 Oct 2026, 23:37 | 85,718 | +375 |
| 28 Oct 2026, 04:41 | 85,343 | +13 |
| 27 Oct 2026, 23:45 | 85,330 | first reading |
Engagement
557 posts held, back to 6 August 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 186 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.651%
- avg views ÷ 88,002 subscribers
- Avg views / post
- 573
- 192 posts measured
- Reaction rate
- 0.154%
- reactions ÷ views · ER floor
- Posts in window
- 192
- of 557 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 106 of 192 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 557 (6 August 2026 – 6 November 2026) |
| Views total | 109,984 |
| Reactions total | 113 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 07:16 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
- 44m 59s
- Average length
- 7s
Measured directly from 374 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
363 reactions across 227 posts, in 13 distinct kinds. The most used accounts for 83.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 302 | 83.2% | |
| 👍 | 31 | 8.54% | |
| 🤡 | 9 | 2.48% | |
| 💯 | 4 | 1.10% | |
| 🔥 | 4 | 1.10% | |
| 👏 | 3 | 0.826% | |
| 😁 | 3 | 0.826% | |
| 🥰 | 2 | 0.551% | |
| 🎉 | 1 | 0.275% | |
| 💋 | 1 | 0.275% | |
| 💘 | 1 | 0.275% | |
| 😍 | 1 | 0.275% | |
| 🤯 | 1 | 0.275% |
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 309 of the 557 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 363 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 557 most recent posts we hold, published 6 August 2026 to 6 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: 4 of 192 posts held from the last 30 days (2.08%) 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).
👣艺名: 诗婉 #浦东 康桥 💵课费: 1500p 2000pp ✏️资料: 162cm 40kg 胸C 🔖标签; #真人认证 18岁 颜值 嫩妹 舌吻 六九 白虎 可外 #诗婉 ✉️联系: @kekelailo 🤖双向: @baihuswbot (备注“学院推荐”进VIP群) 📝【作业1~60条点击查看】 📝【作业61】【作业62】【作业63】 📝【作业64】【精英65】【作业66】 📝【作业67】【作业68】【作业69】 📝【作业70】【作业71】【作业72】 📝【作业73】【作业74】【精英75】 📝【作业76】【作业77】【作业78】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🪙学院币
👣艺名: 甜甜 #浦东 陆家嘴 💵课费: 1000p 1800pp 4888夜 ✏资料: 163cm 46kg 胸C+ 🔖标签: #手势认证 20岁 嫩妹 大胸 六九 肤白 深H #甜甜 ✉联系: @tianlvke 🤖双向: @Tianovo_bot (备注“学院推荐”进VIP群) 📝【精英01】【作业02】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🪙学院币
❤2
今日活动 #上海学院 #工兵 #工兵活动 #活动 ————————————— 🎟白嫖/半价/红包券(限p x 1) 吱吱+普陀+红包 开奖:11月6日 米娜+闵行+半价 开奖:11月6日 希希+闵行+半价 开奖:11月6日 兔子岛+徐汇+半价 开奖:11月7日 温不晚+长宁+半价 开奖:11月7日 李雨琪+静安+半价 开奖:11月8日 可可+静安+红包 开奖:11月8日 Lynn+静安+半价 开奖:11月8日 ————————————— ⏰限时优惠-无门槛(备注"学院推荐‘’直接去联系老师) 徐一宁【浦东/肤白大胸】 P/PP优惠200|截止10月06日23:00 知夏【徐汇/长腿嫩妹】 P优惠200 PP优惠300|截止10月06日23:00 —————————————— 🏆学院vip-专属福利「vip群」 苏苏【普陀/肤白御姐】 p优惠500 PP优惠500|截止11月06日23:00 …
❤1👍1
👣艺名: 兔宝 #闵行 💵课费: 1200p 1800pp ✏资料: 158cm 48kg 胸D 🔖标签: #手势认证 08年 嫩妹 萝莉 大胸 接吻 六九 肤白 #兔宝 ✉联系: @haiwaiyong 🤖双向: @hywmmn_bot (备注“学院推荐”进VIP群) 📝【作业反馈01】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🪙学院币
👣艺名: 刘老师 #浦东 💵课费: 800p 1500pp ✏资料: 165cm 48kg 胸F 🔖标签: 全能服务 御姐 巨乳 三通 潮P SM 舌吻 K爆 拍视频 #刘老师 ✉联系: @mhllsff 🤖双向: @liulaoshi164804bot (备注“学院推荐”进VIP群) 📝【作业反馈01】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🪙学院币
❤2
👣艺名: 晚晚 #静安 💵课费: 599 799 1199 ✏资料: 166cm 49kg 胸D 🔖标签: #手势认证 抓龙筋 大胸 半套 SPA 三起三落 #晚晚 ✉联系: @CClucky521 🤖双向: @CCluck521_bot (备注“学院推荐”进VIP群) 📝【作业反馈01】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🪙学院币
👣艺名: 小钰 #闵行 💵课费: 1200p 2000pp ✏资料: 163cm 45kg 胸C+ 🔖标签: #视频认证 18岁 嫩妹 大胸 冷白皮 舌吻 六九 可外 #小钰 ✉联系: @xioyus 🤖双向: @xiaoyus1888_bot (备注“学院推荐”进VIP群) 📝【作业反馈01】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🪙学院币
👣艺名: 小叶 #普陀 💵课费: 1100p 1600pp ✏资料: 175cm 50kg 胸C 🔖标签: #手势认证 05年 嫩妹 长腿 秘书 肤白 舌吻 K爆 可外 #小叶 ✉联系: @thurman10360 🤖双向: @xxsx5868bot (备注“学院推荐”进VIP群) 📝【作业反馈01】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🪙学院币
👣艺名: 秀儿 #浦东 康桥 💵课费: 800p 1300pp ✏资料: 163cm 48kg 胸D+ 🔖标签: 服务 御姐 少妇 大胸 舌吻 短发 可外 #秀儿 ✉联系: @xiuer6699 🤖双向: @xiuer6699bot (备注“学院推荐”进VIP群) 📝【精英01】【精英02】【精英03】 📝【作业04】【精英05】【精英06】 📝【作业07】【作业08】【作业09】 📝【作业10】【作业11】【作业12】 📝【作业13】【作业14】【作业15】 📝【作业16】【作业17】【作业18】 📝【作业19】【作业20】【作业21】 📝【作业22】【作业23】【作业24】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🔥好评榜
今日活动 #上海学院 #工兵 #工兵活动 #活动 ————————————— 🎟白嫖/半价/红包券(限p x 1) 圆圆+徐汇+半价 开奖:11月5日 蓓蓓+普陀+半价 开奖:11月5日 吱吱+普陀+红包 开奖:11月6日 米娜+闵行+半价 开奖:11月6日 希希+闵行+半价 开奖:11月6日 兔子岛+徐汇+半价 开奖:11月7日 温不晚+长宁+半价 开奖:11月7日 ————————————— ⏰限时优惠-无门槛(备注"学院推荐‘’直接去联系老师) 徐一宁【浦东/肤白大胸】 P/PP优惠200|截止10月06日23:00 知夏【徐汇/长腿嫩妹】 P优惠200 PP优惠300|截止10月06日23:00 —————————————— 🏆学院vip-专属福利「vip群」 程一媱【长宁/大学生嫩妹】 p优惠200 PP优惠400|截止11月05日23:00 苏苏【普陀/肤白御姐】 p优惠500 …
👣艺名: 倩倩 #宝山 💵课费: 1000p 1900pp ✏资料: 168cm 50kg 胸B+ 🔖标签: #手势认证 19岁 嫩妹 舌吻 舞蹈生 肤白 兼职 #倩倩 ✉联系: @Qianbao534 🤖双向: @Qianbao534_bot (备注“学院推荐”进VIP群) 📝【作业反馈01】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🪙学院币
❤2
Showing the 12 most recent of 557 posts we hold for @shxyls. 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 141 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. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@shxyfk · 32,4312,160 posts上海福利【学院】
@shtopfl · 33,638335 posts上海学院【好评榜】
@shxcxy · 53,27879 posts金陵十二钗评价频道
@jlserc001 · 112 posts小满小天地
@xiaomanjy666 · 79011 posts评价
@SHSELECTEDGROUP · 378 posts蓉蓉的评价
@rongrong2020 · 567 posts子涵的小窝🏠
@jdjdbqkkk · 8486 posts诗婉㊙️密小花园
@shishiwanwan · 5,3356 posts小椰子的秘密花园
@xyz11365 · 816 posts静安萌萌(红休中)
@hyy56 · 2255 posts冰冰爱抚
@jaunbin · 3,2135 posts念念小屋
@niannian6586 · 4505 posts沪e大奶之家
@Ddanai1 · 5,1574 posts腿模➕短剧演员米米自聊
@dfghj54328mumu · 4004 posts小羊流浪地球之上海
@FBQdhkMDJl · 2,3324 posts全能菲酱 沪上极品白小纯
@feibb520 · 4,0334 posts涵涵的后花园
@fhjhjjcmm · 2,1444 posts雪儿的小窝
@xebai · 1,5454 posts晚儿的花园🧚♀️
@xiannv22 · 5,0924 posts小燕子的爱巢
@xyzachao · 4,4834 posts允宝频道😄
@yunbao68 · 2,7524 posts小雨熙的老公们
@yuxkky · 5024 posts
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.
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.
“上海【学院】总榜” (@shxyls), 88,002 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/shxyls.
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.