8.26 全国部分地区大圈外围资料更新:https://t.me/+rV3Ww5L7KSYwODlk 没有的需要私聊客服加会员出资料:https://t.me/ww3584

Channel
《楚汉阁》全国选妃导航
@chuhangeqg
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
8,363subscribers
-1,117 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003315371198 |
|---|---|
| Type | Channel |
| Usernames | @chuhange @chuhangeqg |
| Created | 14 January 2026 — measured — dated from the channel’s first post |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/chuhangeqg |
Topic
Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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 |
|---|---|---|
| 17 Sept 2026, 12:38 | 8,363 | -16 |
| 17 Sept 2026, 08:59 | 8,379 | -435 |
| 13 Sept 2026, 04:58 | 8,814 | -8 |
| 12 Sept 2026, 23:38 | 8,822 | -318 |
| 9 Sept 2026, 16:59 | 9,140 | -76 |
| 9 Sept 2026, 04:17 | 9,216 | -376 |
| 4 Sept 2026, 07:37 | 9,592 | -18 |
| 4 Sept 2026, 06:58 | 9,610 | -125 |
| 31 Aug 2026, 22:27 | 9,735 | -2 |
| 31 Aug 2026, 12:04 | 9,737 | -7 |
| 29 Aug 2026, 02:16 | 9,744 | -1 |
| 28 Aug 2026, 21:23 | 9,745 | +25 |
| 26 Aug 2026, 08:06 | 9,720 | +11 |
| 25 Aug 2026, 16:55 | 9,709 | +5 |
| 23 Aug 2026, 07:34 | 9,704 | +8 |
| 22 Aug 2026, 14:53 | 9,696 | +43 |
| 20 Aug 2026, 02:27 | 9,653 | +10 |
| 19 Aug 2026, 11:16 | 9,643 | +18 |
| 16 Aug 2026, 21:56 | 9,625 | no change |
| 16 Aug 2026, 21:54 | 9,625 | first reading |
Engagement
15 posts held, back to 14 January 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 36 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 28.1%
- avg views ÷ 8,363 subscribers
- Avg views / post
- 2,350
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 15 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 26 August 2026 |
|---|---|
| Posts held | 15 (14 January 2026 – 26 August 2026) |
| Views total | 2,350 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 05:15 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.
Reaction mix
33,906 reactions across 13 posts, in 13 distinct kinds. The most used accounts for 12.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4,328 | 12.8% | |
| 👍 | 4,075 | 12.0% | |
| 🔥 | 4,019 | 11.9% | |
| 🎉 | 3,954 | 11.7% | |
| ❤🔥 | 3,502 | 10.3% | |
| 🥰 | 3,379 | 9.97% | |
| 🤩 | 3,350 | 9.88% | |
| 😍 | 3,335 | 9.84% | |
| 💯 | 3,324 | 9.80% | |
| 😁 | 608 | 1.79% | |
| 💩 | 17 | 0.05% | |
| 👎 | 12 | 0.035% | |
| 👏 | 3 | 0.009% |
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 13 of the 15 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 33,906 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 14 January 2026 to 26 August 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
中大圈预约流程: 1:我司是会员安排制度(适当筛选真正的客户,有需要会员权益的精准客户。目前会员档位有,288白金会员,888钻石会员,1688至尊会员,5888帝皇至尊。详情了解 会员权益 ) 2:发送需求,客服人员拿取最新资料,提供一下信息:什么时候需要(现在或者是某个时间段的大体精准时间,多次鸽子会取消会员资格。)+预算(2500pp中圈。3000p大圈,5k,1.5w)+需要的次数(大圈的价格多数是次数*单价)+具体省市区 (广东省深圳市宝安区,最好有具体的酒店或者家里位置)+理想的妹子(御姐,少妇,空姐,洋酒,萝莉,身高,体重,罩杯),禁止中圈的价格,大圈极品的要求,没有这种 3:确定了妹子以及距离,安排车车费出发(正常都是100以内,个别100-150) 4:等妹子到达酒店见面,带妹子上楼 满意付款 接受服务 注意事项:飞机上骗子多,没有见面之前,禁止再付款任何费用,有任何问题需要客户自己承担。…
❤7
应广大客户要求,花了一个多月时间更新了全国一部分地区的妹子资料 有需要的老板可以看一下: https://t.me/+rV3Ww5L7KSYwODlk 中大圈均需 加会员 ,介意的老板可以多在群里观察 ,欢迎监督!! 目前楚汉阁只做全球中大圈外围,地陪,包养,以及一些明星定制业务。有任何客服以能安排小圈的方式联系各位老板欢迎举报,奖励多多!!! —————楚汉阁运营部
🔥98😁95❤91👍82🎉72👎2💩2
楚汉阁现推出:av男优,av女优,部分明星线下见面套餐(不包含车费以及助理等出行费用,同城不需) 套餐一:15580 共同拍摄,衣服三套 照片300张(原图不修) 视频3个,每个大于5分钟 套餐二:18880 共同拍摄,衣服五套 照片500张(精修出图) 视频5个,每个大于5分钟 套餐三:38880 共同拍摄,衣服十套 照片1200张(赠500精修出图) 视频15个,每个大于5分钟 以上套餐均全绿服务,需要增值服务需要另谈,有需要的会员或者还没加会员的老板抓紧(仅限至尊以上会员定制) 对接商务:@dayucj8
❤113😁100🔥95👍92🎉90💩1
🔍 【MK】全球顶配娱乐主场,极致体验! ❤️🔥 开云 专为高端玩家打造,集结王牌体育、高爆电子与加拿大彩票,用硬核实力助您执掌财富风口: 🔔 极致水位:体育场馆,无视限红大单精准狙击。 🐂 纯净透明: 加拿大彩票同步官方数据,拒绝黑箱全网可查。 🛍 点击MK体育机器人 带上你的纪律,做收割全场的终极猎手 ✅官方正版授权-公平·公正·公开! ✅电子/视讯/捕鱼/棋牌/体育/彩票 点击蓝色字体手机注册开始你的发财之旅
❤119👍106🎉102🔥95😁95
《3000u永久广告位》 全网最低价usdt转账手续费,能量租赁,会员代开,trx兑换
👍161❤156🔥156😁154🎉152👎1💩1
大圈新增处女 地陪 空降 网红😭😖😔🥳😖😆
👍192❤166😁164🔥157🎉136💩2👎1
信息导航: 😼 楚汉阁公告 😼 开通城市 😼 地区选妃导航频道 😼 预约流程及价位 😼 预约流程的解释 😼 《 楚汉阁全国包养》 😼 《楚汉阁全国选妃交流》 😼 《楚汉阁全国大圈外围选妃》 😼 《楚汉阁商务洽谈》 😼 《楚汉阁全国选妃客服》 😼 开云娱乐,福利多多!!! 😼 av男女优定制服务 😼 《3000u永久广告位》 全网最低价usdt转账手续费,能量租赁,会员代开,trx兑换 😘 一键添加楚汉阁所有群组频道
❤638🔥603💯594🎉588🥰587❤🔥583👍565😍556
关于预约流程的解释: 1️⃣ 问什么时候需要(假如说预约,提前1天以上的预约没有必要,也没有照片发给你,发给你妹子在你需要的时候没在上课又容易造成误会,所以小圈预约只要需要的时候提前半个小时预约即可,妹子有空就是有空) 2️⃣ 哪个位置(因为我们服务的对象是全国的客户,每次来你简单告诉我你是哪个省哪个市哪个区我就知道哪个地方的妹子或者楼有无空) 3️⃣ 要什么价位的(很多客户上来就是要照片,我们做的是小圈—包养的价位的妹子都有,不可能说是没有报价位我给你把这个地区的妹子都翻出来 4️⃣ 要几次(有很多妹子她的内容是不一样的,有些妹子是只接一次,有些妹子是只接两次,有些是中途不能加次数的,) 5️⃣ 上门还是课室(有些地区是只有楼的 有些地区是只有外卖的) 6️⃣ 选妹子的问题没办法解释,不是不让选,太多无聊的客户每次都要来要照片,一张不够一百张不多,要照片能要一下午。小圈全都按价位盲发面付,中大圈入会员…
❤461🤩443❤🔥425👍412🥰405🎉402😍397💯376
🥳😜😜😝 😝🤩😜🤪 😀😀😀😀😀 信息导航: 1️⃣ 楚汉阁公告 2️⃣ 开通城市 3️⃣ 地区选妃导航频道 4️⃣ 预约流程及价位 5️⃣ 惠州深圳东莞全区顶尖会所 6️⃣ 《楚汉阁全国选妃交流》 7️⃣ 《楚汉阁榜全国大圈外围选妃》 8️⃣ 《楚汉阁商务洽谈》 9️⃣ 《楚汉阁全国选妃客服》
😍479💯478❤468👍463🔥463🥰451🤩447❤🔥444
😝🤩😜🤪 🥳😜😜😝 😀😀😀😀😀 服务价格: 1️⃣ 中圈定价标准: 😼 2500pp起 2️⃣ 大圈定价标准: 😼 3K档: ¥ 3k (60min/1 次) ¥ 8k (包夜8h/3次) 😼 5K档: ¥ 5k (60min/1 次) ¥15k(包夜8h/3次) 😼10K档: ¥10k(60min/1次) ¥30k(包夜8h/3次) 😼 异地空降: ¥15K起(24h/3次) 📱📱 📱📱 📱📱 中圈大圈以及提前预约均需入会员拿资料 嘴炮太多,会员费抵消费,介意勿扰 大圈多为小姐姐兼职,基本上都是外出,所以介意外卖的勿扰
❤🔥529❤519👍512🤩503😍498🥰497🔥492🎉480
暂时更新以下频道 🚫💯 📵📵: 🥳😜😜😝 😝🤩😜🤪 😀😃😄😆 😼 广州 😼 深圳 😼四川 😼浙江 😼 上海 😼江西 😼重庆 😼江苏 😼 北京 😼湖南 😼山东 😼湖北 😼 福建 😼辽宁 😼河北 😼海南 😼 天津 😼河南 😼吉林 😼山西 😼 陕西 😼甘肃 😼安徽 😼贵州 😼 云南 😼青海 😼黑龙江 ⭐⭐ 🥐 大圈选妃频道 🟡 楚汉阁客户评分榜 😝🤩😜🤪 🥳😜😜😝 😀😀😀😀😀 陆续更新 需要其他地区私信 🚓🚑🚒🚐🛻:《选妃客服》
❤🔥608❤605🤩590🔥570👍566💯564🎉562🥰561
Showing the 12 most recent of 15 posts we hold for @chuhangeqg. 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 edited after publishing
@chuhangeqg edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 22 August 2026
- Most recent edit
- 22 August 2026
Mentions
Named by 409 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 24 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.
@tongquetai666 · 5,4382 posts《楚汉阁全拼:@chuhange》全国外围选妃
@albbly · 2501 post《楚汉阁全拼:@chuhange》全国选妃
@app1888_bot · 41 post《楚汉阁全拼:@chuhange》全国外围选妃
@BLSBLL6 · 11 post《楚汉阁全拼:@chuhange》全国外围选妃
@gsbczcpd · 11 post《楚汉阁全拼:@chuhange》全国外围选妃
@gtxiaoying667 · 11 post《楚汉阁全拼:@chuhange》全国外围选妃
@Jys8298 · 21 post《楚汉阁全拼:@chuhange》全国外围选妃
@kunkun0203_bot · 81 post《楚汉阁全拼:@chuhange》全国外围选妃
@Nany87bot · 21 post《楚汉阁全拼:@chuhange》全国选妃
@neheng777 · 21 post《楚汉阁全拼:@chuhange》全国外围选妃
@PLzvn · 51 post《楚汉阁全拼:@chuhange》全国选妃
@PPaah256 · 11 post《楚汉阁全拼:@chuhange》全国外围选妃
@shklw2 · 161 post《楚汉阁全拼:@chuhange》全国外围选妃
@shunshunlili666668 · 151 post《楚汉阁全拼:@chuhange》全国选妃
@sz366 · 3271 post《楚汉阁全拼:@chuhange》全国外围选妃
@tiancha188 · 11 post《楚汉阁全拼:@chuhange》全国外围选妃
@tiancheng0305 · 41 post《楚汉阁全拼:@chuhange》全国外围选妃
@wenruanr · 31 post《楚汉阁全拼:@chuhange》全国外围选妃
@Wuxi38D · 21 post《楚汉阁全拼:@chuhange》全国外围选妃
@xixi163888888 · 11 post《楚汉阁全拼:@chuhange》全国外围选妃
@xueerz2005 · 51 post《楚汉阁全拼:@chuhange》全国选妃
@yanxixi9988 · 11 post《楚汉阁全拼:@chuhange》全国选妃
@yuxiaoqi666 · 11 post《楚汉阁全拼:@chuhange》全国外围选妃
@yyyybaby · 21 post
Names
Channels on the register whose handles appear in this channel's posts.
@chuhangewaiwei · 3,1845 posts《楚汉阁》全国外围选妃交流
@quanguochuhange · 7,2082 posts《楚汉阁全拼:@chuhange》安徽选妃
@chuhangeah · 7671 post《楚汉阁全拼:@chuhange》北京选妃
@chuhangebj · 1,9401 post《楚汉阁全拼:@chuhange》重庆选妃
@chuhangecq · 2,7271 post《楚汉阁》广州外围选妃
@chuhangegz · 2,2451 post《楚汉阁全拼:@chuhange》贵州选妃
@chuhangegzz · 9631 post《楚汉阁全拼:@chuhange》湖北选妃
@chuhangehb · 1,2841 post《楚汉阁全拼:@chuhange》海南选妃
@chuhangehhnn · 1,4501 post《楚汉阁全拼:@chuhange》黑龙江选妃
@chuhangehlj · 1,6921 post《楚汉阁全拼:@chuhange》湖南选妃
@chuhangehn · 1,1731 post《楚汉阁全拼:@chuhange》河南选妃
@chuhangehnn · 8361 post《楚汉阁全拼:@chuhange》江苏选妃
@chuhangejs · 2,6901 post《楚汉阁全拼:@chuhange》江西选妃
@chuhangejx · 1,2831 post《楚汉阁全拼:@chuhange》 辽宁选妃
@chuhangeln · 1,1781 post《楚汉阁全拼:@chuhange》 青海选妃
@chuhangeqh · 8741 post《楚汉阁全拼:@chuhange》四川选妃
@chuhangesc · 9011 post《楚汉阁全拼:@chuhange》陕西选妃
@chuhangesx · 7621 post《楚汉阁全拼:@chuhange》山西选妃
@chuhangesxx · 1,0111 post《楚汉阁全拼:@chuhange》深圳选妃
@chuhangeszz · 2,2981 post《楚汉阁全拼:@chuhange》天津选妃
@chuhangetj · 9601 post《楚汉阁全拼:@chuhange》云南选妃
@chuhangeyn · 1,2991 post《楚汉阁全拼:@chuhange》浙江选妃
@chuhangezj · 1,6691 post《楚汉阁全拼:@chuhange》福建选妃
@mmn01288 · 1,0731 post
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“《楚汉阁》全国选妃导航” (@chuhangeqg), 8,363 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/chuhangeqg.
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.