移动体检报告榜 深圳 :#南山 【移动报告】:https://t.me/ghfcyfytcvtf 【验证留名】:hfdvhj 【老师花名】:如梦 【验证时间】:11;7 【移动水费】:700 【服务内容】: 课表 【颜值身材】: 小萝莉 【凶器罩杯】:坚挺饱满 【体验细节】之前就听说ls很不错,今天正好约到了头课,立马驱车前往,一进门惊为天人老师非常漂亮,身材也很好很纤细,整个人很紧致,进门ls给换了拖鞋,聊了一会儿ls就帮忙洗澡,洗完就直接上床开始服务,由于是pp就先A面,口了几下后,我看着ls那精致的面庞完全忍不住了,直接将ls压在身下先来了一发,休息途中ls一直贴在身边简直不要太舒服,女友感拉满,不过至此我都以为ls主要是漂亮,就心态平静的开始b面的服务,可是没想到老师嘴巴触及到肌肤那一刻,我整个人都麻了,太舒服了,多的就不描述了,所有服务仔仔细细体验拉满,建议一定要亲身体验,结束后简单冲洗了一下就离开了,但是真的回味…

Channel
移动体检报告榜
@ghfcyfytcvtf
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
10,744subscribers
-3,193 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002062011130 |
|---|---|
| Type | Channel |
| Username | @ghfcyfytcvtf |
| Description | 深圳总群 https://t.me/fdsdffdfsdd 广州总群:https://t.me/rdgikjuguhg "在这个快节奏的世界里,我们深知每一份真诚的相遇都弥足珍贵。欢迎来到移动修车大队 在这里,我们用心搭建桥梁,让每颗渴望交流的心都能找到共鸣 深圳精选榜:https://t.me/hshsguh 报告榜: @ghfcyfytcvtf 联系管理 : @djsbbdh 报告模版:https://t.me/ghfcyfytcvtf/8404 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/ghfcyfytcvtf |
Topic
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 56% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 18:28 | 10,744 | -14 |
| 7 Nov 2026, 10:14 | 10,758 | -20 |
| 6 Nov 2026, 10:17 | 10,778 | -14 |
| 5 Nov 2026, 08:08 | 10,792 | -7 |
| 4 Nov 2026, 09:35 | 10,799 | -20 |
| 3 Nov 2026, 09:49 | 10,819 | -12 |
| 2 Nov 2026, 07:45 | 10,831 | -10 |
| 1 Nov 2026, 08:46 | 10,841 | -34 |
| 31 Oct 2026, 07:21 | 10,875 | -33 |
| 30 Oct 2026, 09:45 | 10,908 | -20 |
| 29 Oct 2026, 12:51 | 10,928 | -29 |
| 28 Oct 2026, 09:40 | 10,957 | -19 |
| 27 Oct 2026, 08:56 | 10,976 | -16 |
| 26 Oct 2026, 08:20 | 10,992 | -23 |
| 25 Oct 2026, 09:06 | 11,015 | -25 |
| 24 Oct 2026, 06:48 | 11,040 | -26 |
| 23 Oct 2026, 03:17 | 11,066 | -23 |
| 22 Oct 2026, 02:01 | 11,089 | -30 |
| 20 Oct 2026, 23:59 | 11,119 | -27 |
| 19 Oct 2026, 20:48 | 11,146 | first reading |
Engagement
34 posts held, back to 27 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 59 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.74%
- avg views ÷ 10,744 subscribers
- Avg views / post
- 617
- 3 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 3
- of 34 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 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 34 (27 July 2026 – 8 November 2026) |
| Views total | 1,850 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 21:13 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
- Photos
- ≈151
- Videos
- ≈216
- Links
- ≈2,650
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 7s
- Average length
- 7s
Measured directly from 1 video 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
11 reactions across 9 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 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 13 of the 34 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 27 July 2026 to 8 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 3 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).
深圳 :#南山 【移动报告】:https://t.me/ghfcyfytcvtf 【验证留名】:Kuhn 【老师花名】:菲菲 【验证时间】:10.16 【移动水费】:800 【服务内容】: 课表 【颜值身材】: 小萝莉 【凶器罩杯】:坚挺饱满 【体验细节】:闲来无事,就喜欢cj。看中菲菲老师,立马约好时间,到达目的地,根据老师指引顺利到达,年轻小姐姐一枚,身材很好,皮肤嫩滑。闲聊几句后就开始洗澡,帮洗的很认真,有提前准备漱口水,洗完澡后,就开始服务。先🐍吻调情,然后口,口活很好,无齿感,又含又舔又吸又转,我一手抓住老师的奶子挑逗起来,老师比较敏感,让我轻一点😋女上的时候很有感觉,一边吸老师的奶子一边摇,最后一边🐍一边干,不得不说,服务 态度 技术都不错,最后出货依偎在一起,女友感满满,下次还会返! 【推荐程度】:9.9/10满分,颜值9.6 身材9.6 服务10,态度10,性价比10(五个模。块均给出评分) 【妹子联系方式】…
深圳 :#南山 【移动报告】:https://t.me/ghfcyfytcvtf 【验证留名】:雨中奔跑 【老师花名】:菲菲 【验证时间】:10.11 【移动水费】:1500 【服务内容】: 很多新姿势 【颜值身材】: 波涛汹涌皮肤白 【凶器罩杯】:巨乳 【体验细节】:地方位置非常好,就在地铁口,地铁出击很方便。见到老师一刻就觉得值了。身材很好,是在街上都要多看几眼那种,又白又有气质。 赶紧交学费,老师开始脱衣并帮我洗澡,修长的腿小腹一点赘肉都没有。屁股有点小肉,玩起来特别舒服。 上床开始上课,老师还是服务很好,主动但不油腻,真是慢慢青春女友感,各种课表内容都尝试了,配合听话,然后进入小妹妹中好紧。。。忍住不射但是也没坚持多久,换了几个姿势,玩着长腿就射了。 课后老师也不催还留我休息休息。真是虽然话不多,但是情绪价值很够。 【推荐程度】:9.9/10满分,颜值9.6 身材9.6 服务10,态度10,性价比10(五个模。块均给…
深圳:南山 【移动报告】:https://t.me/ghfcyfytcvtf 【验证留名】: 【老师花名】: 【验证时间】: 【上课水费】: 【体验细节】 【妹子联系方式】: 【温馨提醒】:报告仅供参考,请理性选择,切勿对号:审核管理员:@djsbbdh
深圳:南山芊芊 【移动报告】:https://t.me/ghfcyfytcvtf 【验证留名】:张先生 【老师花名】:芊芊 【验证时间】:8;30 【上课水费】:1500两课 【服务内容】:全套服务 【颜值身材】: 高端正品美女 【凶器罩杯】:坚挺饱满粉嫩 【体验细节】 刚见到芊芊老师的时候,给我非常大的惊喜。完美的身材是我没有想到的。刚见面有点害羞,但老师非常贴心的抱住了我,小嘴轻轻的贴住我,小弟弟立马来感觉,把老师摁倒在沙发上肆意的舌吻,舌吻管饱哦,揉捏老师的奶子,忍不住了,赶快交了学费就去洗澡,洗完后在床上和老师抱在一起,疯狂舌吻,情到深处,老师蹲到弟弟前进行口技展示。一吞一吐之间弟弟已经完全高涨。尤其是老师在展示期间时不时含情脉脉的注视着你。那种光景那种感觉是真的无法用言语形容,老师曼妙的身材尽收眼下。之后老师又开始了最拿手的舌技。那种感觉真的无懈可击。把老师的樱桃小嘴当成小穴一样抽插,老师也一直在呻吟。老师的小穴非…
❤2
【移动报告】:https://t.me/ghfcyfytcvtf 【验证留名】: Kuhn 【老师花名】:菲菲 【验证时间】:8.27 【移动水费】:800 【服务内容】: 课表 【颜值身材】: 小清新 【凶器罩杯】:花蕾 【体验细节】:推开门一看 ls 就属于那种小可爱型,前凸后翘的,真是绝美。那对胸真的好大好软!一碰上去奶头就硬了,属于是敏感性的。那双大长腿简直要了我的命。不过我最喜欢的还是 ls 的脚脚。过程就不一一赘述了,l兄弟们自行想象吧。反正就是无脑冲就对了。期待老师下回的美好。还会再来爽 【推荐程度】:10满分,颜值9.6 身材9.6 服务10,态度10,性价比10(五个模。块均给出评分) 【妹子联系方式】:@feifeiaf 【温馨提醒】:报告仅供参考,请理性选择,切勿对号:审核管理员:@djsbbdh
深圳:宝安夏沫 【移动报告】:https://t.me/ghfcyfytcvtf 【验证留名】:何先生 【老师花名】:夏沫 【验证时间】:8.25 【上课水费】:1500两课 【服务内容】:全套服务 【颜值身材】: 高端正品美女 【凶器罩杯】:坚挺饱满粉嫩 【体验细节】:按照老师指引很快就到课室了,开门就看到老师穿着一件黑色低胸装,瞅着🐻前混润饱满,有点小鸡动,本人就冲着这优点来的。交完水费就被老师带进浴室清洁。洗完上床老师开始服务,舌头👅很灵活很舒服,特别口的时候差点没忍住,立马喊停,提枪上阵,传教士边吃大奶边干,老师也开始舒服的呻吟出来,可能老师叫的太淫荡,这次不到十分钟就出水了。休息中边聊边玩着大奶子。杆子放在老师妹妹里享受。快活似神仙……完事后还抽根烟休息了会,聊了会天才走。值得推荐 【优点缺点】:10/10满分,颜值10,身材10,服务10,态度10,性价比10(五个模。块均给出评分) 【妹子联系方式】: @xiamo…
❤1
广州 【移动报告】:https://t.me/ghfcyfytcvtf 【验证留名】:Joe 【老师花名】:小新 【验证时间】:8.17 【上课水费】:800p 【服务内容】:课表 【体验细节】:按约定的时间来到时间的地点方便停车遥控上楼后看到老师比照片好看,微胖甜美聊天滴水拿拖鞋,好像许久未见的女朋友,交了水费后,我们一起洗澡,老师帮我洗的时候看着老师就很想了,突然老师蹲下很主动地帮我口,哇哇老师的小嘴巴好暖,把我鸡巴舔了硬梆梆,谁的舔鸡巴都感觉很爽,擦洗干净后,我们一起上楼看是穿上小黑丝迷离的眼神让我很是喜欢,手指尖在我身上滑动小舌头从胸舔到蛋蛋舔到我的大鸡巴,不行了,实在受不了了,赶紧带套老师的屁股坐上来妖娆的身姿在我身上扭动着眼前摇晃着白白的胸,老是咬到嘴唇那满满的感觉好风骚,简直让人欲罢不能我抓住老师的腰猛力怼一顿输出结束了,喜欢微胖丰满匀称,妖娆的身材感闭眼冲,休息好了再战 【优点缺点】:9/10满分,颜值9,身材9…
深圳:福田:叶灵儿 【移动报告】:https://t.me/ghfcyfytcvtf 【验证留名】:HexFishman 【老师花名】:叶灵儿 【验证时间】:8月5日 【上课水费】:5KPP双飞 【服务内容】:全套服务 【颜值身材】: 顶级美女,大长腿大咪咪 【凶器罩杯】:E罩杯 【体验细节】:看关注灵儿老师好久了,今天刚好放假,和灵儿沟通刚好排期有空档,那必须要区灵儿那里来见识她和她闺蜜的大咪咪🐻,公寓进出方便不用登记,停车也行方便,灵儿老师给的指引简单明了,进了门,姐妹都好热情招呼我还是习惯性就去沙发坐上,先根本分不清哪个是姐姐哪个是妹妹,后面了解到如烟是姐姐,灵儿是妹妹,两姐妹都非常极品,颜值非常高,两对大咪咪🐻已经让我的双眼挪不开位置了,姐妹两个都穿着包臀连衣裙坐下闲聊交了课费,然后已经忍不住的手已经抓着两姐妹的大胸开始玩起来了,休息一会儿后,姐姐就进去洗澡,妹妹就帮我宽衣解带,姐妹俩带这大球贴人,前后夹攻,还有乳交哦,…
❤2
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❤1
深圳【移动报告】:https://t.me/ghfcyfytcvtf 【验证留名】:牛的滑 【老师花名】:菲菲 【验证时间】:8月15日 【上课水费】:800p➕三通 【服务内容】:三通 【体验细节】:一直对肛交挺好奇的,看群里说菲菲老师有三通服务,就忍不住去试了一趟。老师皮肤白,身材火辣,大长腿加上大胸,腰臀比看着就带劲,身上还有淡淡的香味。一进门就穿着旗袍情趣和网袜,一双超长美腿很养眼。交完我先去洗漱,洗完上床后她就开始按课表走流程,每项都有,一个不落。最刺激的还是她吹箫,次次往深喉里顶,整根都能吞进去,搞得我差点儿直接交代在她嘴里。实在受不了了,赶紧上套、抹润滑油,慢慢对准菊花往里塞。她那儿真的很紧,没油根本进不去。我双手掰开她的菊花,一边插一边听她满口骚话,包裹感爽得不行。最后没多久就缴枪了。服务真的没得挑,性价比也没得说。分享给喜欢走后门的兄弟,值得体验! 【优点缺点】:9/10满分,颜值9,身材9,服务10,态度10…
【移动报告】:https://t.me/ghfcyfytcvtf 【验证留名】: 稀哥 【老师花名】:菲菲 【验证时间】:8.14 【移动水费】:800 【服务内容】: 课表 【颜值身材】: 小可爱 【凶器罩杯】:c杯 【体验细节】:下午寂寞难耐,想找菲菲老师安慰舒爽,二刷了,联系到有空后,打车前往,还是老样子进门先抱一抱。简单聊天后就脱衣洗漱,ls帮洗水中萧后,擦干净上床帮忙擦脚,然后让ls换上丝袜。AB面享受,🐍吻后,毒龙酥酥麻麻地。口很刺激。69后差不多准备戴套开大,坐上去后抱着ls直接翻身,像回家了一样。ls很会夹。骚话不断很爽,很舒服,插了会儿,准备换姿势,夹的很紧感觉快忍不住了,直接冲刺。猛猛桩了几下就🐍了。完事后ls也不催,就在床上休息会。洗漱完走掉了。二刷也很棒。ls很温柔,服务很好 【推荐程度】:10满分,颜值9.6 身材9.6 服务10,态度10,性价比10(五个模。块均给出评分) 【联系方式】:@…
Showing the 12 most recent of 34 posts we hold for @ghfcyfytcvtf. 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.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“移动体检报告榜” (@ghfcyfytcvtf), 10,744 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/ghfcyfytcvtf.
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.