🎀【花名】: #伊小敏 📍【区域 】: #雨花区 #真人认证 💦【费用】: 400p 700pp 🌸【罩杯】:36c 🔥【身高】:168 53kg 🔥【年龄】:26 🚀【联系】: @yxm786 📮【服务】: #舌吻#深喉 #六九#口爆 制服 丝袜 #毒龙 ps:自我描述 胸型超好奶头粉叫声销魂配合各种称呼初次见面保证本人 不讲价
🎉4🥰4💯3🔥3❤2🤩2😍1

Channel
@changsha35
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
31,809subscribers
+411 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001643154708 |
|---|---|
| Type | Channel |
| Username | @changsha35 |
| 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 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 26 October 2026 |
| Measurements held | 45 |
| Confirmed unchanged | 1 time, most recently 26 October 2026 |
| On Telegram | t.me/changsha35 |
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 80% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Oct 2026, 16:37 | 31,809 | -259 |
| 25 Oct 2026, 20:07 | 32,068 | +389 |
| 24 Oct 2026, 19:26 | 31,679 | +100 |
| 23 Oct 2026, 21:58 | 31,579 | -1,155 |
| 22 Oct 2026, 22:06 | 32,734 | -1,746 |
| 21 Oct 2026, 21:30 | 34,480 | +331 |
| 20 Oct 2026, 17:46 | 34,149 | -232 |
| 19 Oct 2026, 13:50 | 34,381 | +227 |
| 18 Oct 2026, 10:18 | 34,154 | -83 |
| 17 Oct 2026, 12:04 | 34,237 | -348 |
| 16 Oct 2026, 09:40 | 34,585 | -82 |
| 15 Oct 2026, 13:09 | 34,667 | -136 |
| 14 Oct 2026, 16:01 | 34,803 | +718 |
| 13 Oct 2026, 08:18 | 34,085 | +719 |
| 9 Oct 2026, 05:18 | 33,366 | +511 |
| 4 Oct 2026, 17:16 | 32,855 | -658 |
| 26 Sept 2026, 15:40 | 33,513 | +9 |
| 19 Sept 2026, 16:16 | 33,504 | -252 |
| 17 Sept 2026, 03:01 | 33,756 | -33 |
| 15 Sept 2026, 04:01 | 33,789 | first reading |
164 posts held, back to 10 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 127 pages 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. It is computed over the 73 of 78 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 October 2026 |
|---|---|
| Posts held | 164 (10 August 2026 – 27 October 2026) |
| Views total | 72,571 |
| Reactions total | 1,018 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Oct 2026, 02:40 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.
Lifetime counters from Telegram’s own channel header, read 27 October 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.
Measured directly from 85 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.
3,142 reactions across 152 posts, in 11 distinct kinds. The most used accounts for 14.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 439 | 14.0% | |
| 🎉 | 392 | 12.5% | |
| 🔥 | 382 | 12.2% | |
| 👍 | 380 | 12.1% | |
| 🥰 | 311 | 9.90% | |
| 💯 | 302 | 9.61% | |
| 😍 | 300 | 9.55% | |
| ❤🔥 | 290 | 9.23% | |
| 🤩 | 269 | 8.56% | |
| 😁 | 76 | 2.42% | |
| 👎 | 1 | 0.032% |
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 154 of the 164 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 3,142 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 164 most recent posts we hold, published 10 August 2026 to 27 October 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.
🎀【花名】: #伊小敏 📍【区域 】: #雨花区 #真人认证 💦【费用】: 400p 700pp 🌸【罩杯】:36c 🔥【身高】:168 53kg 🔥【年龄】:26 🚀【联系】: @yxm786 📮【服务】: #舌吻#深喉 #六九#口爆 制服 丝袜 #毒龙 ps:自我描述 胸型超好奶头粉叫声销魂配合各种称呼初次见面保证本人 不讲价
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❤🔥4😍3🔥2🥰2❤1👍1💯1🤩1
🎀【花名】: #伊小敏 📍【区域 】: #雨花区 #真人认证 💦【费用】: 400p 700pp 🌸【罩杯】:36c 🔥【身高】:168 53kg 🔥【年龄】:26 🚀【联系】: @yxm786 📮【服务】: #舌吻#深喉 #六九#口爆 制服 丝袜 #毒龙 ps:自我描述 胸型超好奶头粉叫声销魂配合各种称呼初次见面保证本人 不讲价
🎀【花名】: #芯妍👉 📍【区域 】: #长沙 #雨花区 💦【费用】:500p 900pp 🌸【罩杯】:D 🔥【身高】:162 47kg 🔥【年龄】:26 🚀【联系】: @xinyan8881 📮【服务】: 鸳鸯浴 水中箫 接吻 69 口爆 深喉 毒龙 胸推臀推 舌尖漫游 吹牛转圈圈 高跟丝足足交 情趣制服诱惑 配合各种姿势。🉑夜
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🎀【妹子】: #萌小雪 📍【区域 】:#雨花区 💦【费用】: 700P 1300PP 🌸【罩杯】:c 🔥【身高】:165#47kg 🔥【年龄】20 🚀【联系】: @bn66123 📮【特色】: #真人认证 嫩妹,舌吻,💦多
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🎀【妹子】: #诗瑶 📍【区域 】:#雨花区 💦【费用】: 600P 1100PP 🌸【罩杯】:B+ 🔥【身高】:170#50kg 🔥【年龄】:18 🚀【联系】: @shiyao427 📮【特色】: #真人认证 嫩妹,舌吻,69式,💦多
🥰5❤2👍2💯2🤩2❤🔥1🔥1
🎀【花名】: #小骚货👉 📍【区域 】: #长沙 #芙蓉区 💦【费用】:#500p #800pp 🌸【罩杯】: C 🔥【身高】:165cm 50kg 🔥【年龄】:26 🚀【联系】: @xiaosao998 📮【服务】: 本老师是一位来自广东的妹子,性格开朗热情,身材前凸后翘,床上风情万种,又纯又欲,可骚可浪,可咸可甜乖巧听话,任意操盘,服务热情周到 我的服务宗旨是:以技术求生存·,以服务谋发展,让每一位客户都玩得开心,让您体验优质的服务,感受非一般的感觉
😍6❤5💯5🔥5👍4❤🔥3🥰3🤩2
🎀【妹子】: #小甜 📍【区域 】:#雨花区 💦【费用】: 1200P 1900PP 🌸【罩杯】:C 🔥【身高】:171#48kg 🔥【年龄】:20 🚀【联系】: @zayfwh_361 📮【特色】: #真人认证 #嫩妹,舌吻,69式,💦多,丝袜,超紧实
❤7🎉6🥰6💯3😍3🔥2❤🔥1👍1
🎀【花名】: #泡芙 📍【区域 】: #长沙 #上门 💦【费用】: 600p 🌸【罩杯】:36D 🔥【身高】:168 50kg 🔥【年龄】:24 🚀【联系】: @ckyu59 📮【服务】: #接吻#深喉 #六九#口爆 制服 丝袜 #毒龙 ps:自我描述 泡芙小姐姐 胸型超好奶头粉叫声销魂配合各种称呼 初次见面保证满意
🎉10❤8🤩8😍8👍5🔥5❤🔥4💯4
🎟 抽奖标题:长沙电报周五五折活动 🎁 奖品内容: - 长沙MMC找小许50元口令红包*2个 @mmchjx - 小露露半价券 @ax1688b - 王也98会所半价券 @cswY6 - 小红94会所半价券 @ck916 - 小梨半价券*2 @xiaoli871 - 季思甜半价券 @jst899 - 李果果半价券 @guoguo69a 🔑抽奖口令:长沙MMC找小许 🔑抽奖口令:小露露半价券 🔑抽奖口令:王也98会所半价券 🔑抽奖口令:小红94会所半价券 🔑抽奖口令:小梨半价券 🔑抽奖口令:季思甜半价券 🔑抽奖口令:李果果半价券 🎫 参与条件: - 加入群:长沙电报【公开群】🅥 🕒 王也98会所开奖时间: 2026-10-23 17:00自动开奖 🕒 小红94会所开奖时间: 2026-10-23 17:00自动开奖 🕒 长沙MMC找-小许开奖时间: 2026-10-24 17:00:0…
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🎀【花名】: #季思甜 📍【区域 】: #雨花区 #树木岭 💦【费用】:400p 700pp 🌸【罩杯】C 🔥【身高】:160 43kg 🔥【年龄】:23 🚀【联系】: @jst899 📮【服务】: #真人认证 #浅舌#冰火两重天 69互舔 水中萧 毒龙 指滑 鸳鸯浴、口爆、吴套口 胸推、情趣丝袜、丝袜诱惑、 私密🌸调情、莞式服务一条龙🐉不机车 高跟鞋👠 主动热情 工兵认真性价比高 ps:出击后请在下方评论反馈,新榜老师发放半价券,大群抽取
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Showing the 12 most recent of 164 posts we hold for @changsha35. 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.
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.
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 26 October 2026 — this entry's latest reading, not the date you are reading this.
“长沙电报【公开榜】🅥” (@changsha35), 31,809 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/changsha35.
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.