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Channel

长沙电报【老师榜】🅥

@changshagongkaiban

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

49,272subscribers

+14,134 since we began measuring on 21 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002231516956
TypeChannel
Username@changshagongkaiban
Description长沙本地资源分享 公开群组:https://t.me/changshaDBQ 老师群:https://t.me/changshadid 工兵群:https://t.me/changshagong 福利频道:https://t.me/changshadian
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded21 August 2026
Last confirmed live9 November 2026
Measurements held51
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/changshagongkaiban

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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

35,13849,27242,20521 August 2026 — 35,138 subscribers21 August 2026 — 35,138 subscribers22 August 2026 — 35,543 subscribers24 August 2026 — 35,166 subscribers25 August 2026 — 35,432 subscribers26 August 2026 — 35,652 subscribers27 August 2026 — 36,062 subscribers28 August 2026 — 35,951 subscribers29 August 2026 — 35,617 subscribers30 August 2026 — 35,873 subscribers31 August 2026 — 35,762 subscribers1 September 2026 — 35,577 subscribers2 September 2026 — 35,451 subscribers3 September 2026 — 35,314 subscribers6 September 2026 — 35,596 subscribers9 September 2026 — 35,748 subscribers11 September 2026 — 36,287 subscribers13 September 2026 — 36,170 subscribers15 September 2026 — 36,741 subscribers16 September 2026 — 36,778 subscribers19 September 2026 — 35,621 subscribers26 September 2026 — 36,239 subscribers4 October 2026 — 36,360 subscribers9 October 2026 — 37,200 subscribers13 October 2026 — 38,258 subscribers14 October 2026 — 39,002 subscribers15 October 2026 — 38,907 subscribers16 October 2026 — 38,747 subscribers17 October 2026 — 38,565 subscribers18 October 2026 — 38,967 subscribers19 October 2026 — 38,916 subscribers20 October 2026 — 39,177 subscribers21 October 2026 — 40,316 subscribers22 October 2026 — 39,211 subscribers23 October 2026 — 39,090 subscribers24 October 2026 — 39,916 subscribers25 October 2026 — 40,677 subscribers26 October 2026 — 40,804 subscribers27 October 2026 — 41,198 subscribers28 October 2026 — 41,118 subscribers29 October 2026 — 41,247 subscribers30 October 2026 — 41,780 subscribers1 November 2026 — 42,053 subscribers1 November 2026 — 43,065 subscribers2 November 2026 — 43,930 subscribers4 November 2026 — 45,043 subscribers4 November 2026 — 45,601 subscribers5 November 2026 — 46,598 subscribers6 November 2026 — 46,829 subscribers8 November 2026 — 47,475 subscribers9 November 2026 — 49,272 subscribers21 August 20269 November 2026
51 measurements spanning 80 days, net +14,134. 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 33,018–51,392 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 51
Measured (UTC)SubscribersChange
9 Nov 2026, 08:1749,272+1,797
8 Nov 2026, 01:0647,475+646
6 Nov 2026, 20:5646,829+231
5 Nov 2026, 20:3646,598+997
4 Nov 2026, 22:3945,601+558
4 Nov 2026, 00:0545,043+1,113
2 Nov 2026, 22:4643,930+865
1 Nov 2026, 21:4643,065+1,012
1 Nov 2026, 00:4642,053+273
30 Oct 2026, 22:0641,780+533
29 Oct 2026, 19:2641,247+129
28 Oct 2026, 22:3041,118-80
27 Oct 2026, 22:3741,198+394
26 Oct 2026, 20:0840,804+127
25 Oct 2026, 18:0740,677+761
24 Oct 2026, 19:3939,916+826
23 Oct 2026, 21:4539,090-121
22 Oct 2026, 19:1739,211-1,105
21 Oct 2026, 18:0140,316+1,139
20 Oct 2026, 16:1139,177first reading

Engagement

214 posts held, back to 20 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 148 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.95%
avg views ÷ 49,272 subscribers
Avg views / post
1,950
92 posts measured
Reaction rate
0.83%
reactions ÷ views · ER floor
Posts in window
92
of 214 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 91 of 92 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 10 November 2026
Posts held214 (20 August 2026 – 10 November 2026)
Views total179,037
Reactions total1,473
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 04:13 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
≈1,430
Videos
≈246
Links
≈219

Lifetime counters from Telegram’s own channel header, read 10 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
15m 14s
Average length
8s

Measured directly from 113 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

4,116 reactions across 206 posts, in 13 distinct kinds. The most used accounts for 15.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤64115.6%
🔥46011.2%
❤‍🔥44910.9%
👍44810.9%
🤩44810.9%
🎉44410.8%
😍42710.4%
💯41310.0%
🥰3819.26%
👏20.049%
💩10.024%
😁10.024%
🤮10.024%

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 208 of the 214 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 4,116 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 214 most recent posts we hold, published 20 August 2026 to 10 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 92 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).

10 Nov 2026, 01:56 UTC394 views15 reactionsread 10 November 2026
Photo

🎀【妹子】: #梦梦 📍【区域 】: 岳麓区 💦【费用】: 500P(莞式口爆70分钟) 700P(正宗莞式服务80分钟十🇯🇵凳子服务) 🌸【罩杯】:36D 🔥【身高】:160#55kg 🔥【年龄】:27 🚀【联系】: @MM5208889 📮【特色】: #真人认证 #公开群 服务内容给我改成 鸳鸯浴➕🇯🇵凳子服务➕艳舞 水中箫 冰🔥两重天 胸推 臀推 倒挂金钩 海底捞月 回味无穷 ❤️❤️

🔥4👍3❤‍🔥2🎉2🥰2❤1💯1

10 Nov 2026, 01:54 UTC384 views15 reactionsread 10 November 2026
Photo

🎀【花名】: #芊芊 📍【湖南】: #长沙 #岳麓区 💦【费用】:700p 1300pp 🌸【罩杯】:36D 🔥【身高】:165 🔥【年龄】:20 🚀【联系】: @Anna18881888 📮【服务】:沐浴,无套口,胸推,调情,亲咪咪,温柔大方,乖巧听话,三点粉。服务态度好。

🎉4👍3🥰3😍3❤2

10 Nov 2026, 01:51 UTC383 views15 reactionsread 10 November 2026
Photo

🎀【花名】: #小甜心👉 📍【区域 】: #长沙 #雨花区 💦【费用】:500p 800p p 🌸【罩杯】:B 🔥【身高】:153cm 45kg 🔥【年龄】:#26 🚀【联系】: @j455444 📮【标签】: #真人认证 小巧玲珑行,温柔水多 ps:人照合一 小巧玲珑型,敏感温柔水多,紧致会夹姿势配合,服务态度好,情绪价值给足 服务内容: 鸳鸯浴,按摩,胸推,无套吹箫,抚摸调情,69,观音坐莲,黑丝制服诱惑服务过程中出水默认一次 禁禁禁无套、桩机、嗑药、酒课、后花

👍4🔥3💯2🤩2😍2❤1🎉1

10 Nov 2026, 01:48 UTC400 views16 reactionsread 10 November 2026
Photo

🎀【花名】: #妲己✅ 📍【区域 】: #高端外围 💦【费用】:2600-3000 🌸【罩杯】:36C 🔥【身高】:170 45 🔥【年龄】:18 🚀【联系】: @CSdaji 📮【服务】: 舌吻 (口臭不💋) 共浴,胸推,调情,亲咪咪,舔蛋,制服诱惑,温柔大方,乖巧听话,模特,老师,学生,白虎,处女

👍4❤3😍3🎉2🔥2💯1🤩1

9 Nov 2026, 03:49 UTC≈1,780 views19 reactionsread 9 November 2026
Forwarded from @changshadianPhoto

拍卖半价券 规则:水群得积分,积分拍卖半价券 玩法:大群找到竞拍-点击竞拍-回复-出价(数值积分) 要求:半价券当天拍到,当天出击有效,出击续在群分享 不懂玩法的,也可以在公开群里咨询

🔥6❤‍🔥4❤3🤩2😍2🎉1💯1

9 Nov 2026, 00:38 UTC≈2,140 views15 reactionsread 9 November 2026
Photo

🎀【妹子】: #萌小雪 📍【区域 】:#雨花区 #沙湾公园 💦【费用】: 700P 1300PP 🌸【罩杯】:c 🔥【身高】:165#47kg 🔥【年龄】24 🚀【联系】: @bn66123 📮【标签】: #真人认证 #公开群 嫩妹,舌吻,💦多

🎉3🥰3❤2❤‍🔥2👍2💯1🔥1😍1

8 Nov 2026, 01:41 UTC≈4,680 views15 reactionsread 9 November 2026
Photo

🎀【妹子】: #白若溪 📍【区域 】: 天心区 💦【费用】: 700P(45分钟) 1300P(90分钟) 🌸【罩杯】:C 🔥【身高】:166#47kg 🔥【年龄】:22 🚀【联系】: @baiRruoxi 📮【标签】: #公开群 #接吻#深喉 #六九#口爆 制服 丝袜 服务内容 ○(鸳鸯浴)(情趣互动)(推)○(漫游)(丝袜)(吹箫)(舔 ) (花式爱爱)(姿势配合) 注意事项 禁无套、禁后花醉酒、毒、禁上课时间 下午2点到凌晨2点(蓝色下划线)、 ○白天提前预约 ○过夜提前问,有时候预约可能接不了

❤3👍3😍3🔥2🥰2🎉1🤩1

7 Nov 2026, 16:10 UTC≈3,790 views19 reactionsread 9 November 2026
Photo

🎀【艺名】: #碎碎 📍【区域 】: #雨花区 💦【费用】: 500p 900pp 🌸【罩杯】:D 🔥【身高】:170cm 120斤 🔥【年龄】:19 🚀【联系】: @suiya2 📮【服务】: #真人认证 无套口 舌吻 69 制服诱惑,丝袜调情

❤6❤‍🔥4🥰4😍2👍1💯1🔥1

7 Nov 2026, 16:08 UTC≈3,660 views17 reactionsread 9 November 2026
Photo

🎀【艺名】: #甜甜 📍【区域 】: #雨花区 💦【费用】: #600p #1100pp 🌸【罩杯】:36C 🔥【身高】:165cm 45KG 🔥【年龄】:20 🚀【联系】: @tyi5520 📮【服务】: #真人认证 无套口 舌吻 69 制服诱惑,丝袜调情 口爆

🎉5❤4👍2😍2❤‍🔥1🔥1🤩1🥰1

7 Nov 2026, 13:32 UTC≈3,000 views16 reactionsread 8 November 2026
Forwarded from @changshadian

赠送两张半价券,今天可以出击的下方评论,需求:大群或者工兵群积分达到50 下方评论后联系管理,先到先得

💯5❤‍🔥2🤩2🥰2😍2❤1🎉1👍1

7 Nov 2026, 12:08 UTC≈3,490 views17 reactionsread 8 November 2026
Photo

🎀【艺名】: #小夕 📍【区域 】: #真人认证 #雨花区 💦【费用】: #700p #1200pp 🌸【罩杯】:B+ 🔥【身高】:166cm 88斤 🔥【年龄】:19 🚀【联系】: @cskeke001 📮【服务】:无套口 舌吻 69 制服诱惑,丝袜调情 艺名:上官云珠,年龄19,身高:168,胸围:c.体重:45kg,服务内容:鸳鸯浴无套口添蛋蛋口指尖调情按摩,只要不过分配合各种姿势,个人特点,真胸,真人真照服务认真,温柔,会夹,情趣丝袜,配合度极高。课费:700p【45分钟】1200pp【90分钟】自带课室可外出雨花区,外出要预付车费,个人兼职自聊如消息回复不及时请耐心等待尽量自带现金注,禁醉酒嗑药拔套桩机無出水算一次口嗨聊骚勿

❤4🥰4🎉3🤩3💯2❤‍🔥1

7 Nov 2026, 06:40 UTC≈1,400 views15 reactionsread 7 November 2026
Forwarded from @changshadian

🎟 抽奖标题:长沙电报周五五折活动 🎁 奖品内容: - 王也98会所半价券*2张 @cswY6 - 小红94会所半价券*2张 @ck916 🔑抽奖口令:王也98会所半价券 🔑抽奖口令:小红94会所半价券 🎫 参与条件: - 加入群:长沙电报【公开群】🅥 ​🕒​ 王也98会所开奖时间: 2026-11-13 17:00自动开奖 ​🕒​ 小红94会所开奖时间: 2026-11-13 17:00自动开奖 被群机器人封禁的兄弟可以找管理员解除 备注: 1,关注狗仔队吃瓜领福利 @changshadian,查看开奖结果。 2,中奖的兄弟找管理员领取 3,开奖后两天内必须把券用完,过期作废 🚩积分换半价券活动🚩 长沙电报【公开群】积分达到300,随时可兑换半价券(长期有效)联系管理员兑换 @yingzheng0078 积分规则: 每日签到获得5积分 有效发言一次获得1积分

❤3😍3🎉2👍2💯2🤩2❤‍🔥1

Showing the 12 most recent of 214 posts we hold for @changshagongkaiban. 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 recorded as deleted after publishing

We recorded 5 posts on @changshagongkaiban as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
26 August 2026
Most recent seen missing
9 November 2026
Median time before seen missing
27 hours
Seen missing in the last 30 days
2

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

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

“长沙电报【老师榜】🅥” (@changshagongkaiban), 49,272 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/changshagongkaiban.

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.