Channel
@qljb20
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,082subscribers
+89 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 | 🌈 红粉青楼： https://t.me/+uk7Gp-q0v343OTU1 ⭐️ 青楼精选：https://t.me/+3tyoorGKYBU1ZTE1 |
| 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 | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/qljb20 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 22:27 | 6,082 | +85 |
| 7 Aug 2026, 17:01 | 5,997 | +4 |
| 6 Aug 2026, 22:46 | 5,993 | first reading |
8 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 9 pagesof 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 7 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 8 (21 July 2026 – 11 August 2026) |
| Views total | 14,591 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:33 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 12 August 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.
26 reactions across 7 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 26 | 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 7 of the 8 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 26reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 21 July 2026 to 11 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.
#南山 #林雪 #1000p ❓ 课表差异点 课表该有的都有，不夸张 😀 优点 高个长腿，有肉但不胖，小c-的天然胸，偏白，态度好很敬业，身材不错很好的炮架，入行感觉得到没多久，年轻嫩姐，属大车，反馈自然，性价比ok 👏 缺点 女上比较虚，小烟味，可能累的原因脸比较苍白没血色，脸上皮肤明显有熬夜的痕迹 📱 出击经历 地点南山科技园，下停车场上楼开门，人照8，跟图1模子像，坐在沙发上，起身来了个大拥抱，很高，我喜欢这种带肉的大车身材，喝了口水就洗澡去了，老师整个过程比较自然不会很生硬。上床后、老师开始正常服务，服务有点小生疏但是很认真。过了一会就我玩弄了一下胸和摸了摸小妹妹感受到很多水后，女上进入，但是女上没几秒老师就累了，能感觉老师很虚，就换我在上，老师属于闭眼轻声呻吟类型，换了几个姿势最后打开窗帘望着写字楼进行了最后的冲击，我觉得值得打卡好的炮架，会返类型 😎 青楼是否认证 已认证 🏅 青楼等级 淑妃 中偏上 …
#南山 #木子 #1000p ❓ 课表差异点 没啥差异，身高也接近170，属于黄皮但是偏白的 😀 优点 江苏妹子，年轻嫩姐，胸c+天然，168个长腿，随性性格，易高潮，皮肤光滑，臀算大，做爱感觉反馈佳，颜值底子可以但懒不化妆，性价比高！ 👏 缺点 懒，抽烟：纹身看是否能接受，没适应南方天气有点起小点点 📱 出击经历 水友强烈推荐，于是换了个小号咨询老师位置就去了，差点去错教室很尴尬…见面就感觉老师是随性性格，白t里面空档，类似吊钟奶，整个屋子也比较小乱，看得出来老师挺懒的，不爱打理，也没咋化妆，颜值底子是不错的，我不爱闲聊于是立马洗澡了，洗完上床，老师房间很亮很亮不是昏暗房间加分，老师口的挺舒服的没齿感，不管是小豆豆还是还有都挺敏感。老师女上挺有体力，慢慢摇自己再手动控制一下很容易来感觉，加上上下其手很容易高潮。换了3个姿势感觉老师都来了高潮的感觉，属于敏感体质，反馈不像演，明显的生理反应，腰挺起，做爱的反馈比较真实，…
❤4
#南山 #知意 #1300p ❓ 课表差异点 身高168左右，胸c-d之间，正常肤色黄皮 😀 优点 性格大方，能唠嗑，胸有c往上一点，身体特别柔软一字马肯定没毛病，做爱反馈可以，感觉比较喜欢做爱那种，会叫爸爸我要，属于年轻带骚，口活好，皮肤嫩滑 👏 缺点 黄皮，略带点小肚子，年纪不大略显经验，同等价位略贵了点，照片过于惊艳 📱 出击经历 拖青楼群主的福，拿到了优惠出击，按照老师指引如实来到教室。开门略带点小失望，可能看到照片预期太高，照片实在青春美丽，跟第三张照片有点像，大概人照7.5-8。见面老师就感觉到很能聊天性格开朗，老师属于比较慢条斯利的，不着急，正式之前也会调戏下你。洗完澡就上床了，一上床就感觉老师属于那种性爱小野兽，舌头各种骚动，甚至嘴里爸爸也叫个不停，也主动拉你去舔奶子，几乎我就属于被动一方，老师不断猛攻，自己123，换了2个左右姿势就被老师给榨了😂 😎 青楼是否认证 已认证 🏅 青楼等级 淑妃 下 …
❤1
#龙岗 #一苓 #1088p ❓ 课表差异点 没差，课表有的几乎都有，应该165左右 😀 优点 真胸大奶，口活很不错专挑敏感点，情绪价值有，很配合主动，老师也挺温柔，制服比较多，镜子好评，🐍到饱，态度和服务都没得说 👏 缺点 喜瘦就别去，偏丢丢丰满。科室太远了龙岗中心城 📱 出击经历 进门看到老师一身包臀裙坐在沙发上，人照8.5左右，大奶很突出，个人特色很明显。进入洗浴环节，胸绝对有D以上，很大，真胸，ab面摩擦很有感觉。浴后ls选了套黑丝连体套装开干，口活很好，专门找龟头敏感点舔，很容易缴械。赶紧让老师躺下开冲，大奶手感不错，乳晕适中，奶头不长，适合匈奴。推荐后入，看着全身镜做，上面看着臀浪下面看着乳浪，波涛汹涌，顺利，最后出水，凿到老师有点腿软。 😎 青楼是否认证 已认证 🏅 青楼等级 淑妃 中 ➡️ 直通车 https://t.me/Yiling_6677
❤5
#宝安 #诗雨 #850p ❓ 课表差异点 课表写的服务大部分可理解没有 😀 优点 165左右，没有纹身，胸型好看，腰线好看，屁股大，水多逼紧，耐桩 👏 缺点 没有陪浴，嫩妹会的不多，服务没有 📱 出击经历 看到频道，觉得不错，准点到达，妹子皮肤黄白，165左右，进门和妹妹聊了一会，觉得妹妹挺逗的，湖南妹妹没有口音，妹妹口技还可以，口挺久的，女上视觉感很棒，后入屁股翘，逼感很好 😎 青楼是否认证 已认证 🏅 青楼等级 淑妃 ➡️ 直通车 @shiyu669
❤2
#南山 #奶昔 #1100p ❓ 课表差异点 身高166左右，课表服务写的太杂，基础的都有，现实比照片好看 😀 优点 年轻，20岁的嫩妹，胸b+到小c，挺乳头粉，肤白，也算小长腿，属于苗条不会太瘦的身材，口活不错的不喊停会一直口，有小洁癖，来感觉之后反馈不错，夹得很紧 👏 缺点 妹妹姿势不对会疼，可用姿势可能不多易触底，大蟒蛇逼，会kiss 📱 出击经历 台风天，正是安全出击好时候，之前看中了个老师但是临时爽约了，于是想到了之前约了很久但是不凑巧的奶昔老师。起初看到照片不是很感兴趣，但是说是嫩白，就带着好奇心去了。下大雨，老师遥控不断迂回终于到达。开门其实有点超一点预期的、个人觉得老师属于不上相的，实际真人比照片好看，第二张和老师像。一看挺白，也很年轻果断交了水费。老师家中有猫，因为自己家也养猫了，于是就宠物聊了一会，然后洗澡，通过漱口水等等发现老师有点小洁癖正合我意。老师的胸其实不小，有个小c-，不踏，刚好握住，中间…
❤2
#南山 #小树 #1200p ❓ 课表差异点 课表该有的都有，挺符合 😀 优点 颜值肯定中上那种，属于好看，人照有8.5-9，脸没照片那么瘦，模子一样，很像大学生或者刚毕业那种，大长腿，冷白很白那种，说话轻声细语感觉属于容易被骗那种，主要性反馈也很不错，另外属于忍不住时不时抱着那种，配合度也很高，胸粉大小虽然小了点刚好合适抓 👏 缺点 没啥缺点，胸b+，正常姿势或者站立小腹都很平，躺着略有丢丢小圈圈，没体力 📱 出击经历 小群一直有水友向我推荐，之前我对这个老师印象有过私聊交集，刚好蹭着老师最近开课了，我就如约约了个尾课。地方挺熟悉的，哈哈。于是轻车熟路就上楼了，老师留了门，进群就看到一双大长腿很白很白，下意识我就知道应该没来错，我自己对白特别有好感。聊天了一会就去洗澡了，发现老师性格挺可爱的，床上聊天时候，老师时不时摸我吃我豆腐（吃亏了），于是就马上正戏了，正常前戏🐍/👄啊结束（互相），老师也有点迫不及待进来了，换了大…
❤9
#福田 #诗诗 #900p ❓ 课表差异点 无 😀 优点 小只马骚出天际，进门聊了两句就开始蛇，蛇到饱，女上强者，骚话多，极致性爱 👏 缺点 胸A 📱 出击经历 准时到达，进门打了招呼，诗诗就拉着我到沙发坐，然后跨坐在我大腿上和我聊天，聊了一会，诗诗就和我情不自禁的亲上了，一边亲一边脱去彼此的衣服，最终在我们两个都要受不了的时候，去共浴,到浴室更是干柴烈火，边洗边蛇，两个人一路玩到床上，过程省略，最终以诗诗女上结束战斗。整体情绪价值很高，性爱体验满分，虽然不是顶级硬件，但是是顶级软件 😎 青楼是否认证 已认证 🏅 青楼等级 淑妃 中 ➡️直通车 @lyhghh66
❤3
Showing the 8 most recent of 8 posts we hold for @qljb20. 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.
Citation-graph rank — 190,999 of 1,183,361entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 4 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.
Named by
Channels on the register whose posts name this channel's handle.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“青楼简报” (@qljb20), 6,082 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/qljb20.
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.