Telegram RegisterThe public register of Telegram
Telegram profile photo for 上海【学院】总榜

Channel

上海【学院】总榜

@shxyls

2 usernames

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

89,239subscribers

+21,622 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
TypeChannel
Usernames@shtopzb @shxyls
Description💬 唯一管理: @shtop & @shtopx_bot 🤖 作业投稿: @xcxyzs_bot 【老师总榜】 @shtopzb 【好评榜单】 @shxcxy 【绅士男群】 @shanghainq 【作业反馈】 @shxyfk ❤️一键关注所有频道: https://t.me/addlist/3up4NoH7zcA0ZGQ1
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held128
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@shtopfl/290520 Oct 2026, 17:16 UTC@shxyls/38549 · this entry20 Oct 2026, 17:23 UTC1.007 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@shtopfl76 (8/8 hand-verifiable sample passed)1.00under a minute@shtopfl (76–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 15 of the 15 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 600 comparable posts for this entry, running 6 August 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @shtopfl. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

67,61789,23978,4286 August 202612 November 2026
128 measurements spanning 98 days, net +21,622. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 64,374–92,482 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 128
Measured (UTC)SubscribersChange
12 Nov 2026, 12:4489,239+87
11 Nov 2026, 15:3989,152+291
10 Nov 2026, 11:0188,861+55
9 Nov 2026, 18:2888,806+156
8 Nov 2026, 20:4988,650+148
8 Nov 2026, 10:0188,502+227
7 Nov 2026, 11:0688,275+97
7 Nov 2026, 01:4788,178+176
6 Nov 2026, 08:0888,002+44
6 Nov 2026, 02:4087,958+406
5 Nov 2026, 06:1087,552+21
5 Nov 2026, 03:4787,531+279
4 Nov 2026, 05:4787,252+2
4 Nov 2026, 04:4687,250+252
3 Nov 2026, 08:0686,998+6
3 Nov 2026, 01:5986,992+165
2 Nov 2026, 06:0086,827+51
2 Nov 2026, 01:4986,776+210
1 Nov 2026, 08:2086,566+61
31 Oct 2026, 23:0686,505first reading

Engagement

608 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 200 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.604%
avg views ÷ 89,239 subscribers
Avg views / post
539
204 posts measured
Reaction rate
0.165%
reactions ÷ views · ER floor
Posts in window
204
of 608 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 105 of 204 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 13 November 2026
Posts held608 (6 August 2026 – 13 November 2026)
Views total110,036
Reactions total115
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 07:38 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
≈4,590
Videos
≈1,090
Links
≈664

Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
49m 02s
Average length
7s

Measured directly from 403 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

387 reactions across 242 posts, in 13 distinct kinds. The most used accounts for 82.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤32082.7%
👍369.30%
🤡92.33%
💯41.03%
🔥41.03%
👏30.775%
😁30.775%
🥰30.775%
🎉10.258%
💋10.258%
💘10.258%
😍10.258%
🤯10.258%

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 328 of the 608 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 387 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 608 most recent posts we hold, published 6 August 2026 to 13 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: 5 of 204 posts held from the last 30 days (2.45%) 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).

13 Nov 2026, 07:15 UTC99 viewsread 13 November 2026
Photo

👣艺名: 喵喵baby #普陀 💵课费: 1000p 1800pp ✏资料: 165cm 48kg 胸C 🔖标签: 22岁 嫩妹 大胸 舌吻 六九 肤白 #喵喵baby ✉联系: @baby51088 🤖双向: @baby51088bot (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

13 Nov 2026, 06:29 UTC293 viewsread 13 November 2026
Photo

👣艺名: 蜜莉 #静安 💵课费: 1000p 1900pp ✏资料: 155cm 41kg 胸B+ 🔖标签: 05年 嫩妹 萝莉 娇小 六九 三点粉 可外 #蜜莉 ✉联系: @calophr 🤖双向: @Ofdcv_bot (备注“学院推荐”进VIP群) 📝【作业01】【精英02】【作业03】 📝【精英04】【精英05】【作业06】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🪙学院币

13 Nov 2026, 05:16 UTC506 views1 reactionsread 13 November 2026
Photo

👣艺名: 晴儿 #闵行 💵课费: 1000p 1700pp ✏资料: 169cm 48kg 胸C 🔖标签: #手势认证 07年 嫩妹 大胸 舌吻 六九 白虎 一线天 #晴儿 ✉联系: @qingqing2271 🤖双向: @qingqing111bot (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

❤1

12 Nov 2026, 17:02 UTC189 viewsread 12 November 2026
Photo

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) ————————————— ⏰限时优惠-无门槛(备注"学院推荐‘’直接去联系老师) 周星瑶【长宁/肤白嫩妹】 P/PP优惠200|截止11月13日23:00 糖糖【宝山/大胸御姐】 P优惠200|截止11月13日23:00 心心【普陀/肤白甜妹】 P/PP优惠200|截止11月14日23:00 小茹【闵行/长腿嫩妹】 P/PP优惠200|截止11月14日23:00 千霖【浦东/06年嫩妹】 P/PP优惠200|截止11月14日23:00 —————————————— 🏆学院vip-专属福利「vip群」 卷儿【闵行/白虎嫩妹】 P优惠200 PP优惠300|截止11月13日23:00 —————————————— ⚠️活动报名: @shtop

12 Nov 2026, 14:32 UTC662 viewsread 12 November 2026
Photo

👣艺名: 维洛 空姐 #闵行 💵课费: 1600p 2600pp ✏资料: 178cm 胸C 🔖标签: #视频认证 空姐 长腿 大胸 肤白 健身 翘臀 #维洛 ✉联系: @OYW_qq 🤖双向: @Raessii_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

12 Nov 2026, 13:39 UTC761 views1 reactionsread 12 November 2026
Photo

👣艺名: 子涵 #松江 💵课费: 1100p 1600pp ✏资料: 170cm 49kg 胸D+ 🔖标签: #手势认证 嫩妹 大学生 舌吻 长腿 大胸 肤白 兼职 #子涵 ✉联系: @bbbhkmm 🤖双向: @bbbhkmm_BOT (备注“学院推荐”进VIP群) 📝【作业01】【作业02】【作业03】 📝【作业04】【作业05】【作业06】 📝【作业07】【作业08】【作业09】 📝【作业10】【作业11】【作业12】 📝【精英13】【精英14】【作业15】 📝【作业16】【作业17】【作业18】 📝【作业19】【作业20】【作业21】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🪙学院币

❤1

12 Nov 2026, 12:32 UTC863 views2 reactionsread 12 November 2026
Photo

👣艺名: 潘玉良 #普陀 💵课费: 1900p 2600pp 8000夜 ✏️资料: 169cm 54kg 胸G 🔖标签:#真人认证 颜值 御姐 巨乳 大车 舌吻 BBW #潘玉良 ✉️联系: @mingzhu168168 🤖双向: @mingzhuaaa_bot (备注“学院推荐”进VIP群) 📝【作业1~80条点击查看】 📝【作业82】【作业83】【作业84】 📝【作业85】【作业86】【作业87】 📝【作业88】【作业89】【作业90】 📝【作业91】【作业92】【作业93】 --------------------------------- 约课报‘学院’,老师温柔加倍! ✍写作业 |🐺狼友群 | 🪙学院币

❤2

12 Nov 2026, 07:20 UTC62 viewsread 12 November 2026
Photo

🎰 闵行【小不点 @11111】半价券 📮 参与条件: 🌏️ 归属地 上海 🎫 加入-上海【学院】总榜 🎫 加入-上海【学院】男群 🎫 加入-上海福利【学院】 🎫 加入-上海学院【好评榜】 🎁 奖品内容: 💰️ 半价券(限P) × 1 ⚠️ 抽奖说明: 1、中奖3天内私信老师兑换,逾期作废。 2、需按时上课、提交作业。如有特殊情况,提前报备。 3、凡无故缺席、未提交作业,将取消后续资格。 4、无上课意向的兄弟,请勿抽奖。 📅 开奖日期:(北京时间) 2026年11月15日 15时17分00秒

12 Nov 2026, 06:57 UTC168 viewsread 12 November 2026
Photo

👣艺名: 汐颜 #浦东 临沂 💵课费: 700p 1200pp ✏资料: 170cm 54kg 胸C 🔖标签: 御姐 长腿 大胸 舌吻 六九 车震 可外 #汐颜 ✉联系: @xiyan1000 🤖双向: @xiyan1000bot (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

12 Nov 2026, 06:06 UTC350 views1 reactionsread 12 November 2026
Photo

👣艺名: 安梦梦 #静安 💵课费: 1000p 2000pp ✏资料: 170cm 45kg 胸D 🔖标签: #手势认证 07年 嫩妹 大学生 长腿 舌吻 K爆 可外 #安梦梦 ✉联系: @Anmengmeng1 🤖双向: @Xamm1515bot (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

❤1

12 Nov 2026, 05:07 UTC509 views1 reactionsread 12 November 2026
Photo

👣艺名: 然然 #浦东 陆家嘴 💵课费: 1400p 2100pp 6200夜 ✏资料: 167cm 42kg 胸C 🔖标签: 05年 嫩妹 大胸 舌吻 六九 冷白皮 鸳鸯Y 可外 #然然 ✉联系: @ranran999999 🤖双向: @ranran99999bot (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

❤1

11 Nov 2026, 17:27 UTC115 viewsread 11 November 2026
Forwarded from @shtopflPhoto

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) 饱饱+嘉定+半价 开奖:11月12日 ————————————— ⏰限时优惠-无门槛(备注"学院推荐‘’直接去联系老师) 夕夕【浦东/长腿御姐】 P/PP优惠200|截止11月12日23:00 周星瑶【长宁/肤白嫩妹】 P/PP优惠200|截止11月13日23:00 糖糖【宝山/大胸御姐】 P优惠200|截止11月13日23:00 —————————————— 🏆学院vip-专属福利「vip群」 涵涵【浦东/07年嫩妹】 P/ PP优惠200|截止11月12日23:00 卷儿【闵行/白虎嫩妹】 P优惠200 PP优惠300|截止11月13日23:00 —————————————— ⚠️活动报名: @shtop

Showing the 12 most recent of 608 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 148 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.

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“上海【学院】总榜” (@shxyls), 89,239 subscribers as measured 12 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.