Telegram RegisterThe public register of Telegram

Channel

广深出师报告

@fbqun

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

62,034subscribers

+240 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001296463789
TypeChannel
Username@fbqun
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/fbqun

Growth

61,79462,03461,9147 August 2026 — 61,794 subscribers7 August 2026 — 61,904 subscribers8 August 2026 — 61,983 subscribers9 August 2026 — 62,003 subscribers10 August 2026 — 62,016 subscribers11 August 2026 — 61,993 subscribers12 August 2026 — 62,034 subscribers7 August 202612 August 2026
7 measurements spanning 6 days, net +240. 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 61,758–62,070 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:3262,034+41
11 Aug 2026, 22:5261,993-23
10 Aug 2026, 20:2762,016+13
9 Aug 2026, 23:3462,003+20
8 Aug 2026, 22:1061,983+79
7 Aug 2026, 23:5161,904+110
7 Aug 2026, 07:0161,794first reading

Engagement

114 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.826%
avg views ÷ 62,034 subscribers
Avg views / post
512
114 posts measured
Reaction rate
0.197%
reactions ÷ views · ER floor
Posts in window
114
of 114 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 27 of 114 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 12 August 2026
Posts held114 (6 August 202612 August 2026)
Views total58,393
Reactions total28
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:19 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

28 reactions across 22 posts, in 2 distinct kinds. The most used accounts for 96.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2796.4%
👎13.57%

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 27 of the 114 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 28reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 114 most recent posts we hold, published 6 August 2026 to 12 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

12 Aug 2026, 15:34 UTC205 views1 reactionsread 12 August 2026

【广深报告】[https://t.me/QMqun] 【所在位置】:天河 【老师艺名】:玥琳 【联系方式】: @huilin9665 【验证留名】:胖子 【验证时间】:8.11 【课程价位】:500 【颜值身材】:9 【服务内容】:9 【服务态度】:9 【优点缺点】:极品身材御姐 长得好看 说话热情 服务十项全能 一路听老师安排一点脑子都不用带 房间位置好找 整洁干净 是个会选地方的用心老师 【推荐程度】:9 【体验细节】:半夜让小姐姐加了个班,一路指引到位,房间安静整洁,是个很注重环境卫生的小姐姐。性格超级好,爱聊天、声音也好听的妹子。妆造也好看,有各种造型,不过想着太晚了就不折腾老师了。各项服务齐全,比课表上的还超额完成,干活的时候非常投入,不会因为上了一天班敷衍拉倒。小姐姐是个很敏感很容易过载的体质,最后两个人都没力气了,还辛苦小姐姐起来陪洗。反正是个同价位不容错过的老师!有空再来体验。 温馨提示: 报告仅供参考 注

1

12 Aug 2026, 14:21 UTC360 views1 reactionsread 12 August 2026

【广深报告】[https://t.me/QMqun] 【所在位置】:天河区 【老师艺名】:莹莹 【联系方式】: @LYingYLS 【验证留名】:老子 【验证时间】:8.12 【课程打赏】:1500pp 【颜值身材】:9分 【服务内容】:课表都有 【服务态度】:9分 【优点缺点】:大胸,服务好,后入好爽 【推荐程度】:9分 【体验细节】:烈日炎炎,打开✈️闲逛刷着榜单的老师,看到榜上的莹莹老师挺符合我的,约了PP,往老师的课室,到了位置后老师指引上楼,进门眼前一亮,这妥妥的御姐范,妆容精致,傲人双峰,和照片无差,温柔如雨,ls态度很好不催,陪浴后开始服务,口活无齿感,深喉顶到头了,很刺激。戴上雨伞直接传教起手,很紧也很湿,直接在ls 高潮中出货很通透,休息聊了有一会又开始第二次,后入的时候发现ls的皮肤又白又滑,腰细屁股大,臀浪视觉冲击强烈,最后让ls 趴着,猛攻出货,ls 说她很喜欢这个姿势,爽,我也爽,两次都很通透。 温馨提

1

12 Aug 2026, 14:21 UTC197 viewsread 12 August 2026

【广深报告】[https://t.me/QMqun] 【所在位置】: 天河 金融城 【老师艺名】: 漫漫 【联系方式】: @bao_shui 【验证留名】: 金玉先生 【验证时间】: 8月9日 【课程打赏】: 1800两小时 【颜值身材】: 9.5分,该有肉的地方有肉,该有线条的地方有线条 【服务内容】: 课表有的都有 【服务态度】: 10 【优点缺点】:太烧了,无缺点 【推荐程度】:10分 【体验细节】: 为数不多的短发老师,课表又写得满满当当的,一定是高手,必须得来体验一下😜说实话,这课表读了好几遍,课程太多了读到后面前面就忘了😂 定好课程和日期,漫漫给了位置,地图搜了一下,卧槽,8万一平😅教室是豪宅啊!到了约定的日子,收拾干净,开车出发。进小区地库要登记,随便写个房间号就行。地下车库车位很多,不过路线拐来拐去,不太好找。 遥控上楼,一路没碰到人。漫漫还在洗澡,直接给我留了门。教室是复式公寓,好多战袍,好多高跟鞋,好多道具,

12 Aug 2026, 14:21 UTC165 viewsread 12 August 2026

【广深报告】[https://t.me/QMqun] 【所在位置】: 天河 金融城 【老师艺名】: 漫漫 【联系方式】: @bao_shui 【验证留名】: 金玉先生 【验证时间】: 8月9日 【课程打赏】: 1800两小时 【颜值身材】: 9.5分,该有肉的地方有肉,该有线条的地方有线条 【服务内容】: 课表有的都有 【服务态度】: 10 【优点缺点】:太烧了,无缺点 【推荐程度】:10分 【体验细节】: 温馨提示: 报告仅供参考 注:(提交报告要提供相关证明,如聊天记录,付款记录等) 报告收集机器人: @Umbrella9_BOT

12 Aug 2026, 14:21 UTC152 views1 reactionsread 12 August 2026

【广深报告】[https://t.me/QMqun] 【所在位置】:车陂 【老师艺名】:可可 【联系方式】: @kekeaibaobao22 【验证留名】:鲁班 【验证时间】:8.12 【课程打赏】:500 【颜值身材】:颜值很高,身材前凸后翘 【服务内容】:课表 【服务态度】:很体贴配合 【优点缺点】:配合的很不错,bb也很紧致,包裹感很强 【推荐程度】:10 【体验细节】:在榜上一眼就看见可可,符合审美。预约见到本人,和验证视频几乎无差,全妆上课。身材很苗条,胸在C左右,手感挺好。洗完澡穿上白丝,显得特别清纯,然后我们先接吻,舌吻缠绵了一会儿,她舌头也努力的在回应。 吻完后她直接低头开始服务、先是舔了会胸,接着往下舔弟弟,然后含住,后面坐我脸上69,持续了大概几分钟我就等不及了,直接戴套开启正戏,进入的时候下面很紧开始推进去有点阻力,慢慢挤进去。进去后明显感觉到里面水很多,又紧又滑,包裹感非常强。很水润抽插慢慢顺畅起来,摩擦

1

12 Aug 2026, 13:57 UTC170 viewsread 12 August 2026
Photo

💐💐💐开奖了💐💐💐 白云石井欣欣优惠券奶茶红包抽奖 开奖了! 本期总参与人数: 1782 1- 不知道 (翻倍1) 获得:100元优惠券 2- BZ (翻倍1) 获得:100元优惠券 3- 夜咆哮 (翻倍1) 获得:100元优惠券 4- 风月不等闲 (翻倍1) 获得:100元优惠券 5- 小磊 (翻倍1) 获得:100元优惠券 6- FiveStar WX (翻倍1) 获得:200元两课优惠券 7- kumaX (翻倍1) 获得:200元两课优惠券 8- emo (翻倍1) 获得:200元两课优惠券 9- 躺不平 (翻倍1) 获得:200元两课优惠券 10- 爆浆话梅 (翻倍1) 获得:200元两课优惠券 11- 科比 (翻倍1) 获得:28.8元奶茶红包 谨祝中奖用户大吉大利万事顺意

12 Aug 2026, 11:49 UTC242 viewsread 12 August 2026

【广深报告】[https://t.me/QMqun] 【所在位置】:天河车坡 【老师艺名】:天河柒柒 【联系方式】:@qiqiA18 【验证留名】:松田翔太 【验证时间】:8 月 11 晚 【课程打赏】:350 半价 【颜值身材】:一般,嫩 【服务内容】:都有 【服务态度】:半价敷衍 【优点缺点】:只有嫩,缺点自己去体验一下 【推荐程度】:5 【体验细节】:约上课之后,原本晚上 10 点半,原价大哥 9 点半有事空了,叫我提前补位,打车出发,课室地点好找,车陂附近公寓楼。老师挺嫩的,频道有美颜,七层吧,脸胖一点。进公寓后直接上楼。交水费,聊了几句后开始沐浴,一边洗一边互摸。擦干身体后躺在床上,老师开始服务。嫩妹不会服务,舔胸,蛇。蛇一下就说舌头麻,可以蛇多次。胸摸了一会说痛,只能开发下路了,然后催钟,等着给下一个人发信息,当天预约也得定金,看个人吧。除了嫩,没太多亮点,性价比不高,不推荐,还要求我写好评,这么对待半价客户,怎么写

12 Aug 2026, 11:35 UTC231 views1 reactionsread 12 August 2026
Photo

💐💐💐开奖了💐💐💐 仙女宫海珠艾米半价优惠券抽奖 开奖了! 本期总参与人数: 847 1- 荔枝 (翻倍1) 获得:1课半价优惠需在仙女宫写报告 谨祝中奖用户大吉大利万事顺意

1

12 Aug 2026, 11:26 UTC203 viewsread 12 August 2026
Photo

💐💐💐开奖了💐💐💐 仙女宫秋雅优惠券奶茶红包抽奖 开奖了! 本期总参与人数: 1854 1- dddc(复活了) (翻倍1) 获得:100元优惠券 2- 春花秋月夜 (翻倍1) 获得:100元优惠券 3- 爆炸糖 (翻倍1) 获得:100元优惠券 4- 爱吃肉蟹煲 (翻倍1) 获得:100元优惠券 5- 神馬都是浮雲 (翻倍1) 获得:100元优惠券 6- 开局一只碗 (翻倍1) 获得:200元两课优惠券 7- Lonnng (翻倍1) 获得:200元两课优惠券 8- 风车OO (翻倍1) 获得:200元两课优惠券 9- 小小灰机 (翻倍1) 获得:200元两课优惠券 10- 安门生 (翻倍1) 获得:200元两课优惠券 11- 忘了起名【最爱小葡萄】 (翻倍1) 获得:300元夜课优惠券 12- 新包装 (翻倍1) 获得:18元奶茶红包 13- 剑Null (翻倍1) 获得:18元奶茶红包 谨祝中奖用户大吉大利万事顺意

12 Aug 2026, 11:10 UTC210 viewsread 12 August 2026
Photo

💐💐💐开奖了💐💐💐 仙女宫番禺欢欢半价优惠券奶茶抽奖 开奖了! 本期总参与人数: 724 1- E Hug (消息数 25)(翻倍1) 获得:1课半价优惠需在仙女宫写报告 2- 油条 (消息数 30)(翻倍1) 获得:100元优惠券 3- dddc(复活了) (消息数 29)(翻倍1) 获得:100元优惠券 4- user123 (消息数 30)(翻倍1) 获得:100元优惠券 5- 倒霉奥特曼 (消息数 22)(翻倍1) 获得:100元优惠券 6- 阿坤 (消息数 20)(翻倍1) 获得:100元优惠券 7- A lan (消息数 20)(翻倍2.0) 获得:200元两课优惠券 8- Ivy (消息数 30)(翻倍1) 获得:200元两课优惠券 9- 吃瓜群众 (消息数 30)(翻倍1) 获得:200元两课优惠券 10- DeadMeeting (消息数 20)(翻倍1) 获得:200元两课优惠券 11- 摩卡 (消息数

12 Aug 2026, 10:47 UTC634 viewsread 12 August 2026

【广深报告】[https://t.me/FBqun] 【所在位置】:天河 【老师艺名】:刘温柔 【联系方式】: @liuwenrou7899 【验证留名】:反5次了 【验证时间】:8月12 【课程打赏】:1000pp 【颜值身材】:温柔老师依然那么美丽动人 【服务内容】:课表 【服务态度】:服务态度没的说当然非常非常好了 【优点缺点】:没有缺点强烈推荐温柔 【推荐程度】:10 【体验细节】:依然老地方方便好找还有停车地方挺好、温柔老师遥控上来看见老师依然那么美丽动人真是招人喜欢、步入正题交了水费老师带我去洗澡那身材前凸后翘勾起了我的欲望互相帮忙洗完,就准备到房间,但是我看见沙发玩玩腿,按在沙发上蛇饱了就让老师帮我服务,口的时候没有齿感,舌头在小头上面打转,看着妹妹的鲍鱼浅尝一下无异味很干净,还带一点香气,看着小兄弟已经蠢蠢欲动,帮我带上套就直接在沙发上战斗了起来,直接站立传教士,边干边蛇,看着妹妹精致的脸颊,不经更加卖力,听着活

12 Aug 2026, 08:26 UTC582 viewsread 12 August 2026

【广深报告】[https://t.me/QMqun] 【所在位置】:天河 【老师艺名】:云熙 【联系方式】:@yunxi023 【验证留名】:神经元 【验证时间】:8.12 【课程打赏】:400p 【颜值身材】:人照高度一致 【服务内容】:xcz🐍69情趣丝袜 【服务态度】:非常满意 【优点缺点】:紧,配合默契,服务好,水多,想不到缺点。 【推荐程度】:10 【体验细节】: 见面很温柔,开朗大方,会主动聊天,很热情,,长的也好看,身材很好,穿着情趣特别有感觉,床上功夫也很好,服务也做的细致,不催,小舌头柔柔软软的好舒服,特别有感觉,口的时候更刺激,时而还用舌头勾引弟弟,时而还用眼神勾引我,勾引的我内心火热热的,简直受不了,直接开炮,声音也好听,搔的不行,后入式很爽,大屁股,肉肉的,身材的视觉很棒。下次有空还来偷吃! 温馨提示: 报告仅供参考 注:(提交报告要提供相关证明,如聊天记录,付款记录等) 报告收集机器人: @Umbr

Showing the 12 most recent of 114 posts we hold for @fbqun. 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

Citation-graph rank — 71,025 of 1,160,990entries 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.

Mentions

Named by 20 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“广深出师报告” (@fbqun), 62,034 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/fbqun.

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.