【南京[比奇堡]学生会报告】 【时间】:2026-08-12 【老师】:媛媛 【留名】:不就 【人照】:10 【颜值】:9.5 【身材】:9 【服务】:10 【态度】:10 【环境】:8.5 【综合】:9.5 【科室】:8.5 【硬件】:老师人很好,环境非常安全,安全第一 【过程】:老师东北口音,人很热情,身材很好,之前在大连,后来在上海,现在在南京。 此报告认证审核由:南京比奇堡学生会

Channel
泡芙女士的驾驶室(报告频道)
@cjddbg124
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
5,859subscribers
+162 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002546848538 |
|---|---|
| Type | Channel |
| Username | @cjddbg124 |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/cjddbg124 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 16:33 | 5,859 | +79 |
| 11 Aug 2026, 15:46 | 5,780 | +70 |
| 8 Aug 2026, 19:50 | 5,710 | +13 |
| 8 Aug 2026, 05:33 | 5,697 | first reading |
Engagement
28 posts held, back to 23 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 5 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 16.4%
- avg views ÷ 5,859 subscribers
- Avg views / post
- 963
- 28 posts measured
- Reaction rate
- 0.08%
- reactions ÷ views · ER floor
- Posts in window
- 28
- of 28 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 16 of 28 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 | 28 (23 July 2026 – 11 August 2026) |
| Views total | 26,963 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:52 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.
What this channel posts
- Video runtime
- 24s
- Average length
- 12s
Measured directly from 2 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.
Reaction mix
13 reactions across 10 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 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 16 of the 28 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 23 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.
Recent posts
【南京[比奇堡]学生会报告】 【时间】:2026-08-11 【老师】:媛媛 【留名】:KimJohnson 【人照】:9 【颜值】:9.5 【身材】:9 【服务】:10 【态度】:10 【环境】:8 【综合】:9.25 【科室】:9 【硬件】:人照一致 身材没得说 个子高高的 【过程】:体验超级满分!媛媛老师颜值超高,五官精致,身材一级棒,曲线完美手感极佳。性格温柔开朗,聊天超愉快,情绪价值拉满,完全没有压力。 服务非常专业,全程体贴主动。毒龙做得特别爽,节奏把控到位,刺激感爆棚。倒立口活更是灵验,技术娴熟又投入,爽到不行。正戏全程骚话不断,全身心投入,各种姿势都很配合。事后完全不催,还主动给按摩放松,休息时继续温柔聊天,像朋友一样舒服。 整体体验五星好评,又专业又有温度,强烈推荐给喜欢御姐加服务系的兄弟!绝对不会踩雷! 此报告认证审核由:南京比奇堡学生会
❤1
【南京[比奇堡]学生会报告】 【时间】:2026-08-11 【老师】:糖宝 【留名】:十安 【人照】:8.5 【颜值】:9 【身材】:9 【服务】:7 【态度】:8 【环境】:8 【综合】:8.25 【科室】:公寓,不大不小,干净整洁 【硬件】:身高1米7,C+胸,黄白皮,整体显得高挑匀称,一点纹身不影响观感,胸应该是二代胸,摸起来手感还是不错的,嘴巴有点烟味,多漱口会好点。 【过程】:进门打过招呼,交了水费,简单交流几句,糖宝便脱去衣裳,进入陪浴环节。擦拭完毕,来到床上,还是标准的嫩妹服务。先是凑过来舔胸,一边舔一边撸我的小弟弟,技术还不错,加上颜值加成,很快就硬了。两边胸舔完,糖宝接着口了起来,侧身口的感觉还是不错的,吸力挺足,中间舔了一会蛋蛋。 口完之后,正面传教士起手,日感不错,舌吻也会有回应。后入转女上,最后又是传教士顺利发射,过程中糖宝的反馈还是比较真实的,会随着频率喘息低吟。 事后闲聊几句闪人,总的来说,属于颜…
❤1
【南京[比奇堡]学生会报告】 【时间】:2026-08-09 【老师】:糖宝 【留名】:匿名 【人照】:9.5 【颜值】:9 【身材】:8.5 【服务】:7.2 【态度】:8 【环境】:6.8 【综合】:8.17 【科室】:在公寓民宿,环境还行,稍乱,一次性用品齐全。 【硬件】:整体人照一致,身高170,身材高挑无赘肉,黄黑皮,纹身手臂有面积不大,大眼嫩妹类型,抽烟,口略有味 【过程】:进门盛情邀请落座,交完水费,帮洗,接着嫩妹三件套,口活非常有特色,舔蛋也很认真,然后爱爱环节,中间骚话不断,“爸爸操我,我好舒服”情绪价值还是不错的,唯一问题就是少抽抽烟吧。 此报告认证审核由:南京比奇堡学生会
【南京[比奇堡]学生会报告】 【时间】:2026-08-09 【老师】:小静 【留名】:NJajoe 【人照】:9.5 【颜值】:9 【身材】:9 【服务】:8 【态度】:8.5 【环境】:8 【综合】:8.67 【科室】:暖融融,温馨静谧,宽敞通透 【硬件】:很配合,有求必应 【过程】:有一天无意中刷到老师,一眼相中灰常喜欢,和老师约好时间就过去了,看到照片时候非常喜欢,见到本人发现,照片是惊艳,见到本人,是沦陷。清洗干净后转移战场,老师服务十分有十六分好,带上雨衣开始正题,奈何不争气,男人过了25如65,两个姿势后缴械投降。事后反思是不是老师太太太牛了,决定下次再来一探究竟,欲知后事如何,请待下次分解哈哈哈哈 此报告认证审核由:南京比奇堡学生会
【南京[比奇堡]学生会报告】 【时间】:2026-08-09 【老师】:阿紧 【留名】:greent 【人照】:10 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.67 【科室】:环境很好 【硬件】:硬件顶级 【过程】:周五进了紧妈的频道,一下子就被吸引了,当时问了,临时没有空了,遂作罢,但是还是忍不住,对着频道里紧妈的视频撸了2发,感觉还是不过瘾,今天刚好有人鸽了我补位,终于体会到什么叫做爱了。一进门,直接就是拥吻,紧妈的大蟒蛇一下子吻上来了,吻了好久,转战到沙发,褪去衣服,妈妈从耳朵开始一路吮吸到乳头,当然中间也少不了大蟒蛇的深情拥吻,妈妈的前戏真的非常的长,吻到动情处,妈妈把屁股坐在我脸上,一边吃着妈妈的鲍鱼一边揉搓着胸,有个小插曲,女朋友突然来电话了,回复消息的时候妈妈一边帮我舔一边回复,妈妈说这样才刺激,实在是太爽了。舔完妈妈后妈妈开始帮我吮吸肉棒,肉棒在这之前被挑逗的快涨…
❤1
【南京[比奇堡]学生会报告】 【时间】:2026-08-08 【老师】:朵朵 【留名】:houa123 【人照】:9 【颜值】:8.5 【身材】:8 【服务】:7 【态度】:9.5 【环境】:8.5 【综合】:8.42 【科室】:进入小区无门禁,虽然电梯有刷卡装置但是是摆设,上到指定层数不需要卡。酒店式公寓,各种一次用品齐全,就是隔音需要注意 【硬件】:朵朵妹妹的年龄在20到25之间,看着很嫩,符合频道中06年出生的说法,真实脸蛋是可爱型,很像刚毕业工作的邻家小妹,眼睛大,笑起来很甜。黄白皮,小胳膊比身子黑,妹子说在南京玩了几天晒黑的。皮肤光滑细腻,罩杯在A到B之间。身高165左右,体重100斤到110斤之间,梨型身材,腿粗胳膊细,有小肚子,脸蛋不胖。大腿上有纹身,亲嘴时能闻到有一点烟味,但无伤大雅,整体上看是非常良家的 【过程】:刚进门看到个穿着睡裙很清纯的邻家妹妹,陪浴后在床上先聊了会儿天,不冷场且很有分享欲。 刚下海所以…
❤1
【南京[比奇堡]学生会报告】 【时间】:2026-08-08 【老师】:米小娜 【留名】:匿名 【人照】:8 【颜值】:8 【身材】:8 【服务】:7.5 【态度】:8 【环境】:7 【综合】:7.75 【科室】:7 【硬件】:9 【过程】:进门老师愣了一下,开始交水费洗澡,老师没有陪浴,洗完躺床上,一对E🐻在我身上🐻滑,还有🐻推,看着一对明晃晃和的大灯,还有那副精致的脸庞,性趣一下就上来了,老师口活很好,时间也比较长,还会深喉,舔🥚🥚和三角区。戴🍑女上开始,老师在上面摇了一会,可能是BBW的缘故,过了一会喊累了,然后换我传教士,会主动抱着你,开始🐍。老师只伸出一点舌尖,所以我也没太过进攻。然后我换了侧入,老师会喊太深了,我就慢慢进攻,然后又换后入,看着两半蜜桃,视觉感拉满,然后抓住两对🐻顺利出氵。上完课老师还拿了矿泉水,还给我递了一根煊赫门,一生只爱一个人~ 此报告认证审核由:南京比奇堡学生会
❤1
【南京[比奇堡]学生会报告】 【时间】:2026-08-07 【老师】:小海棠 【留名】:200块欠 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【科室】:要不是姐姐我哪能住得上Hilton 【硬件】:白,嫩,滑,大,无需多言!!! 【过程】:我沦陷了,还说啥了,两天两次pp,榨干了。这光滑水嫩的皮肤,这大🐻,这恰到好处的长相,这腿,我只恨为什么我们不是正常途径认识的,又庆幸,如果不是机缘巧合可能在现实姐姐都不会多看我一眼。我沦陷了,我喜欢她。可惜姐姐要溜,我也要离开南京,说实话刚来南京处处不顺,我说南京克我,原来是柳暗花明又一村,我爱南京。 此报告认证审核由:南京比奇堡学生会
【南京[比奇堡]学生会报告】 【时间】:2026-08-06 【老师】:阿紧 【留名】:十安 【人照】:8 【颜值】:7 【身材】:8 【服务】:10 【态度】:10 【环境】:10 【综合】:8.83 【科室】:10 【硬件】:身高1.62左右,体重46左右,身高身材苗条,a+罩杯,皮肤紧致滑嫩,偏白皮 【过程】:久闻杭州名师阿紧,来到南京开课,立马约课,课室很好找,位置夫子庙附近,落地窗户边可以直接看见下面人来人往,非常刺激。老小区很安全,课室很大,干净明亮,装修也很好。进门老师就是一个大大拥抱,主动亲吻,牵引到沙发旁,挑逗玩弄了10几分钟,鸡儿早就梆硬,一模老师下面也是洪水泛滥,感觉自己像个小处男,不愧是情绪加服务天花板,陪浴也是各种花活不断,摩擦手撸口活,恨不得在浴室就来上一发,上床后更是有各种情趣内衣选择,白丝配上乳夹情绪拉满,主要要求打pp,各种小骚话不停,18班武艺都来一遍,足交口活臀推,一顿下来早已迫不及待,带…
【南京[比奇堡]学生会报告】 【时间】:2026-08-05 【老师】:阿紧 【留名】:匿名 【人照】:8 【颜值】:8.5 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.08 【科室】:10 【硬件】:百闻不如一见的魅惑御姐,中等身材但臀翘,皮肤紧致滑嫩,D奶盈盈一握(都懂),“紧“也是真的,有纹身 【过程】:拿铁推荐、刚来南京支教一年的传奇老师,从频道获知消息后有幸约到包时。原本打算做pp,前期线上沟通过程太融洽遂改为包时,才知道ls为授课质量一般每天只排 2 个包时。老城区虽然近,就只是停车不方便。顺利进入豪华课室,虽然之前看过报告有描述,但老师的热情(骚气)还是叫人喜出望外。 不想多写,因为精彩过程真是不舍得剧透,建议ly自行体验。只要有任何想法,教给老师就行,绝对 200% 满足。老师敏锐的判断和”阅读比赛” 的智商情商更是顶级。 3 个小时 几经软硬的 123 快速变幻,除期间快速吃完老…
【南京[比奇堡]学生会报告】 【时间】:2026-08-05 【老师】:小海棠 【留名】:fxxk 【人照】:8 【颜值】:7.5 【身材】:9.2 【服务】:9.9 【态度】:8.7 【环境】:10 【综合】:8.88 【科室】:某五星级大酒店,安全系数高,环境不错,房型特别大,ls会亲自下去迎接,好评+10086,课室环境应该是南京最顶的了! 【硬件】:微胖类型,小小一个,素颜较普通,短发,声音嗲嗲的好听,胸大屁股大的同时,腹部又无明显赘肉,爱蜜大腿的有福了! 【过程】:位于五星酒店,直接一个下楼迎接,穿着浴袍小小一个就下来了,进门就嗲嗲地喊哥哥辛苦了,顺势摸上我那根早已饥渴难耐的dd并开始调情。陪浴环节:ls会帮你用沐浴露洗净身体各处,接着跪下进行水中萧环节,深喉,舌缠绕都有,真的很顶!爱爱环节:先是对镜口活,接着跪坐椅子上后入,最后床上爱爱,每个环节都有条不紊,层层递进,整体服务上属于该有的都有,甚至更好,体验服务系的…
Showing the 12 most recent of 28 posts we hold for @cjddbg124. 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 — 398,373 of 1,478,351entries 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 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“泡芙女士的驾驶室(报告频道)” (@cjddbg124), 5,859 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/cjddbg124.
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.