Channel
@qljb20
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,913subscribers
+3,920 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002470692954 |
|---|---|
| Type | Channel |
| Username | @qljb20 |
| Description | ✈️ 青楼小助理 @qlxzl_bot 🌈 红粉青楼： https://t.me/+uk7Gp-q0v343OTU1 ⭐️ 青楼精选：https://t.me/+3tyoorGKYBU1ZTE1 🔞 青楼福利：https://t.me/+LsIIf0k0opswMjVl |
| 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 | 11 November 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/qljb20 |
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 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 13:06 | 9,913 | -24 |
| 8 Nov 2026, 01:07 | 9,937 | -16 |
| 5 Nov 2026, 08:46 | 9,953 | +11 |
| 2 Nov 2026, 08:15 | 9,942 | +69 |
| 30 Oct 2026, 15:34 | 9,873 | +10 |
| 27 Oct 2026, 17:50 | 9,863 | +33 |
| 24 Oct 2026, 18:17 | 9,830 | -81 |
| 21 Oct 2026, 18:49 | 9,911 | -32 |
| 18 Oct 2026, 22:06 | 9,943 | -58 |
| 17 Oct 2026, 23:01 | 10,001 | -29 |
| 16 Oct 2026, 20:47 | 10,030 | -20 |
| 15 Oct 2026, 18:06 | 10,050 | -37 |
| 14 Oct 2026, 16:46 | 10,087 | -18 |
| 13 Oct 2026, 10:21 | 10,105 | -13 |
| 9 Oct 2026, 08:19 | 10,118 | -4 |
| 4 Oct 2026, 23:58 | 10,122 | +14 |
| 27 Sept 2026, 19:02 | 10,108 | +28 |
| 17 Sept 2026, 13:39 | 10,080 | +14 |
| 11 Sept 2026, 23:40 | 10,066 | +3 |
| 9 Sept 2026, 12:55 | 10,063 | first reading |
26 posts held, back to 21 July 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 53 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 5 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 November 2026 |
|---|---|
| Posts held | 26 (21 July 2026 – 12 November 2026) |
| Views total | 14,322 |
| Reactions total | 10 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Nov 2026, 11:57 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 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 7 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.
65 reactions across 21 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 65 | 100.0% |
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 22 of the 26 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 65 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 21 July 2026 to 12 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.
Telegram’s own ‘edited’ marker: 0 of 6 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).
#福田 #Zoe #1600p ❓ 课表差异点 课表实在，没花里胡哨有的都有，身高165左右 😀 优点 高颜值，A4腰线，身材好，后入视觉好，投入度高，配合度高 👏 缺点 价格比较贵，黄肤，小胸，这几点限制了更高评级 📱 出击经历 一直就有水友推荐zoe，但是时间也不是凑巧，每次约时间都对不上。这次恰好有空时间对上了。由于频道没照片，所以期望一直很大。福田著名景点，如期上门。第一眼见老师颜值是在预期内的，属于高颜值挺好看，因为频道没照片也没所谓的人照，但是放在路上算是颜值不错的，偏御姐脸，但是带点嫩。身高我觉得不是算高，配脸我以为170，实际164左右。皮肤黄肤，这点让我有点失落，看了太多报告以为是白肤。老师很热情，招呼也挺周到。个人是快节奏的，速度洗完后，马上就上床了。老师前戏挺好的，从脖子到下面整个亲吻舔挺有感觉，尤其也会用眼睛盯着，带点诱惑，也属于小蟒蛇。等到下面把持不足，就戴套正式。老师战斗力很强… 女上不管是上…
#宝安 #妙妙 #1000p ❓ 课表差异点 课表服务比较简单，该有的都有，身高158左右，没照片那么瘦 😀 优点 嫩妹幼态脸，脸很小，佛系开得比较少，皮肤比较滑嫩，细腰， 配合度高挺听话 👏 缺点 无🐍，正常黄肤，抽脂+纹身（看个人接受度），胸不大b-左右 📱 出击经历 幸运拿到青楼优惠，立刻约了老师，老师比较佛系，时开时不开，恰巧今天开课，约了老师老师随意在附近开了个公寓（从这点能发现老师没固定场所，想开课就临时开房），在宝安万达附近，遥控上门，进门一看，老师脸是真小，也属于嫩妹挂，早期应该类似有点精神小妹挂，人和亲和，人照应该8左右吧，没有照片那么精致，但是是那个模子，小个子嫩妹。洗完澡选了个凉快的房间，老师从耳朵舔到下方，挺舒服的，老师口技术一般，属于正常，但是教了几个小姿势还是舒服有显著提升。小弟受不了，女上开始，老师还是很厉害的，不管上下还是前后都很持久，摇了几分钟马上换了观音莲坐，然后老汉后入侧入。最后在老…
❤3
#南山 #小好 #800p ❓ 课表差异点 c左右无d，口爆应该没得 😀 优点 大车170，c胸，皮肤偏白，没什么风尘味，很认真卖力 👏 缺点 比较冷场，和长相老师一样，整个气氛也有点小严肃尤其自己也偏内向，感觉确实真实找老师，真实老师的认真态度、偏拘束，警惕性强 📱 出击经历 青楼茶室优惠，之前有水友去了看了评价加上优惠感觉性价比很高，如期上门，进门就看到一个比较高个子的女生，很认真严肃站在那一动不动。其实真人比照片好看耐看，人照9以上和频道没差，不算我喜欢的颜值类型，中等往下一点颜值吧，看个人，但是真的和照片一样真的很像老师。我自己本来也内向，尝试沟通了一句，也是简单的回复，就是有问有答，没问没答。还是快速进入正题，洗完上床，看得出性格像老师，真实床上经历也像老师，很认真、一点点执行流程步骤，女上也比较卖力，看的出态度。自己也注意力放到性爱，但是有一说一老师的性反馈还是挺好的，不作，换了几个姿势后，顺利交代出货。想…
❤2
#南山 #琦琦 #1000p ❓ 课表差异点 该有的都有 😀 优点 样子不錯，润，熊大，硬件算可 👏 缺点 微胖肚子有点小肉，房间不够整洁，整体情绪一般，1000左右合适 📱 出击经历 人照8.5，高165左右，熊D，花腿，黃皮。房子有點亂，飯盒飲料煙頭放滿桌子，看妹子還行交水費，馬上被召喚去沖水，只洗了雞巴，上床先讓妹子躺下，蛇沒抗拒，親熊舔逼沒甚麼反應，那換妹子口，技術正常，口了一會妹子問帶套不，那開干吧，女上起手屌感正常，女上一會後妹子說累了換傳教，妹子手頂著腿，我把腿抬起操，沒一會123出水，完事後自己洗澡，看妹子沒太想聊天就走了。 😎 青楼是否认证 已认证 🏅 青楼等级 淑妃 偏中 ➡️ 直通车 @qiqi776998
#福田 #乐祺 #1000p ❓ 课表差异点 身高大概168左右没有172，不是服务型老师，基础的舔，什么胸推漫游没（课表的服务可能是模版课表），胸b+无c 😀 优点 最大优势好身材，可以看福利照片，大长腿苗条（不瘦不胖），小前凸后翘，白（不是冷白那种），皮肤很好，听话配合，比较实在，不熟偏娇羞熟络后会开放些，性反馈自然，比较耐，开白亮灯不虚（意外之喜来了个快递电话啪啪啪-2分钟），性价比不错 👏 缺点 嫩妹（嫩姐脸）三件套，服务型避，蛇教避，其他没感觉到啥缺点 📱 出击经历 频道主强烈小推荐，刚好自己在附近，于是蹭着风和日丽就决定出击。是一个新住宅小区，感觉比较安全。前期话费了点时间，小区绕了挺久。如期上门开门，初见和照片还是很像，没有过多的p，起码人照9是有的。嫩姐长相，身材很好，于是马上交了水费。穿着衣服时其实没那么看得出身材，一起洗澡开了很亮的灯后，能看得出老师身材是很不错的，皮肤比较好，白，有胸奶头偏粉，很苗条…
❤3
#南山 #小乖 #1600p ❓ 课表差异点 和课表描述没什么差异 😀 优点 服务态度好，放得开，要求啥就来啥。身材9分往上！大胸大屁股好腰，好炮架，而且有m属性待开发，颜值也属于好看的，跟视频和图2模样一致 👏 缺点 科技（但是相对是比较自然），价格自行考量，小贵 📱 出击经历 很荣幸拿到青楼的半价券，立刻前往，开门见面颜值超预期，嫩姐欲系列、一脱衣服，小弟瞬间起立！身材如频道9分像。另外有m潜质。吊感很紧。口功了得，能深喉。服务态度很好，话也多，能听你的要求来改变服务。 😎 青楼是否认证 已认证 🏅 青楼等级 淑妃（按我优惠这个价格肯定淑妃上往上） ➡️ 直通车 @xiaoguai120
❤2
#南山 #夏天 #850p ❓ 课表差异点 应该162左右，嫩妹课表和描述差不多，嫩妹服务都偏弱 😀 优点 确实嫩，最多19岁，颜值和第一张像很像，真人会比照片耐看，属于好看的，身材也非常好，胸型好，挺b+，挺配合 👏 缺点 不是服务型，态度上不错，尝试和你聊天给你反馈，嫩妹都是有点自己抵触的东西，介意纹身和抽烟避 📱 出击经历 也是水友推荐，之前去的了，之前下榜了现在重新写重新上。开门比预期要好，确实很嫩、肉眼可见，颜值也算很抗打。嫩妹的服务和之前印象依旧，没打破。依然是简单生疏，但是妹子态度好，说了l会尝试去，🐔梆硬后就进入正题，妹子不需要完全自己操盘（小打破一点认知），做爱反馈一般会偶尔尝试反馈，起码听话，任自己折腾。如果喜欢妹子特么有感觉特别主动，反馈特别好的建议别来。但是需要吃嫩、颜值身材、值得打卡 😎 青楼是否认证 已认证 🏅 青楼等级 淑妃 中 ➡️ 直通车 @xiatianls
❤2
#南山 #彩虹糖 #1200p ❓ 课表差异点 身高164左右，胸应该c-左右，课表该有的都有 😀 优点 大蟒蛇，追着蛇，服务体贴热心，非常细心，口活很好，前戏滿，情绪价值也ok，而且主动起来的时候强奸你的感觉，无限女上，模样其实和照片整体没区别（美颜磨皮后），御姐类型，有胸 👏 缺点 肤色正常黄肤不白，还未完全适应天气略有小疙瘩，偏大奶头，无限火力正常人扛不住几下，喜欢嫩妹类型的可能要考虑下 📱 出击经历 南山熟悉的位置，按照指引上门，开门后第一眼发现和照片整个模样是一致的，虽然没那么照片那么精致，重庆妹子。习惯了进门就脱衣洗澡，被老师拦下说别着急，还没洗就开始先调情，追着蛇+舔，下面梆硬了才放过，然后洗，洗还没开始就一直追着蛇，手也没停帮忙洗身子，洗身子过程嘴巴就没停，我只能说蛇的福星全程不带停的蛇，我对蛇感觉一般，实在招架不住。然后开始水中萧，洗完擦拭身体很仔细，然后垫好一次性传单，上床又开始追着蛇，我说我想享受…
❤5
#福田 #菲菲 #900p ❓ 课表差异点 胸c-左右无d，身高165左右，服务应该说基本的都有外加水中萧，课表写的可忽略 😀 优点 真人肯定比照片好看（频道照片属实一般），颜值中往上一点，有点端庄带点小可爱那种，身材比例均匀，配合听话服务也卖力，做爱感觉不错，不会像是走流程，总是带着笑意有点害羞，属于综合方面起来很能打，另外就是性价比高 👏 缺点 皮肤不白正常黄肤（我喜欢白），胸再大点就好，需要润滑剂，剩下都挺ok 📱 出击经历 刚回国好一段时间没有出击，中午饭后午休完毕，性欲甚是强大。之前有好多水友推荐过，一直没去，最近一年从偏向御姐到嫩妹（大概率因为自己老了好的外加好御姐越来越少的缘故），看到水友那么认真的口吻于是约了去看看。福田很经典位置了，遥控上门，开门第一眼超预期、嫩姐类型，我发现最近很多女的现实比照片好看很多、咋子回事都不愿意认真p图那么不上相么，或许还有可能是故意的！哈哈，大于预期工兵就不会走了～ 老实交…
❤3
#南山 #雨桐 #1000p ❓ 课表差异点 课表很实诚，该有的都有 😀 优点 性格好服务好态度好，亲和力强，广东妹子，颜值中等往上。非常照顾根据你的喜好出发，希望你舒服的那种。很主动很骚，口活胸推都会结合手感受不错，臀腰比也ok，做爱过程配合度高，结束完还有按摩，整个下来自然不生硬 👏 缺点 胸科技介意的注意，矮个子但比例佳，些许纹身因人而异，正常黄肤 📱 出击经历 跟雨桐老师渊源挺大，相互前前后后错开了很多次，都是时间对不上，几个月怕是有了😂这次防止意外发生，早早就提前到了，如期上门。老师非常热情并且调侃了终于见面了，然后递水小小的挑逗了下然后去洗澡，洗澡老师也狠狠的调情了，胸推，舔胸，口，浴室就已经旱地拔葱相当硬了。上了床，老师也是前戏占比多，各种小招式小口活把你干硬，然后戴套，换了多个体位，此间细节就不说了，顺利出水，因为我没坚持多久、进门到结束就20来分钟。事后老师给我按摩了挺久、愉快结束。 😎 青楼是否认证…
#南山 #辛迪 #1300p ❓ 课表差异点 正常黄肤，c胸 😀 优点 颜值好看的嫩姐，人照应该有8.5-9，大长腿，胸挺，不是很瘦微肉属于好日的身材，舔耳朵很舒服，说话江苏女子比较温柔，人很热情带骚，全自动，镜子加分，很客气 👏 缺点 肤色正常黄肤，很会夹主动强行夹，没几下就得交代，过于厉害 📱 出击经历 从另外一个老师推荐过来，见到老师第一眼，觉得老师很好看，讲话也很温柔，递水拖鞋后就进去洗漱，老师应该有点小洁癖，不管是洗身子还是上了床能感觉老师属于爱干净那种。老师前戏调情很足，尤其舔耳朵让人麻麻的，舌头也是上下游走很灵活，主动让我抓胸摸小穴，不一会🐔就硬的不行，老师主动进来后女上，真的太会夹了… 前前后后上上下下，根本扛不住几下，换了推车，感觉没几步就得交代。最后憋着一口气在大镜子面前加速交代了，只能说在老师身材和技术双持下，很难多享受一些😂 😎 青楼是否认证 已认证 🏅 青楼等级 淑妃 上 ➡️ 直通…
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#南山 #豆豆 #1300p ❓ 课表差异点 胸a+到b，其他基本吻合 😀 优点 大长腿，长得比较精致（淡妆前妆应该属于颜值高的类型） ，叫声很好听（这点加分），很自然，卧室很温馨可爱 👏 缺点 胸小，可以理解真的是筷子腿很瘦，正常黄皮，抽到粮票还是很划算，全价的话小贵 📱 出击经历 之前很早很早就在粮票抢到了豆豆老师的半价券，但是之前老师休息了，这次回来开课老师也私信告诉我，我马上就启动了。天还下着大雨，可能运气比较好，到了科室雨就停了。进门第一眼就感觉老师很高很瘦，我立马说了一句你真的好瘦真的筷子腿，老师是淡妆给人很自然不是整容脸，相信全妆应该挺好看，交了水费，由于浴室比较小，我就自己先洗了。进了卧室满满的可爱风，看起来很干净整洁。因为晚上比较晚，我就躺下等着老师服务，正常的上下服务咨询我要不要进来，我感觉也挺好就让老师进来了。老师在上不是很熟练慢慢的，能感觉到老师比较紧，上摇了一会就换我操盘。老师叫声出乎我意料的好…
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