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Channel

广州修车大队报告

@YUJANgz

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

4,478subscribers

-19 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001215670290
TypeChannel
Username@YUJANgz
CreatedBetween 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/YUJANgz

Growth

4,4784,5024,4907 August 2026 — 4,497 subscribers8 August 2026 — 4,502 subscribers11 August 2026 — 4,492 subscribers15 August 2026 — 4,478 subscribers7 August 202615 August 2026
4 measurements spanning 8 days, net -19. 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 4,474–4,506 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 06:334,478-14
11 Aug 2026, 11:534,492-10
8 Aug 2026, 10:314,502+5
7 Aug 2026, 15:024,497first reading

Engagement

4 posts held, back to 7 July 2024the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 4 posts for this entry, the most recent from 26 October 2024. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
9s
Average length
5s

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

198 reactions across 4 posts, in 9 distinct kinds. The most used accounts for 60.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
12060.6%
👍5226.3%
👏94.55%
🔥94.55%
21.01%
21.01%
🤝21.01%
🌚10.505%
🌭10.505%

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 4 of the 4 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 198reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 4 most recent posts we hold, published 7 July 2024 to 26 October 2024, 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

26 Oct 2024, 16:03 UTC≈26,200 views78 reactionsread 8 August 2026
Photo

所在城市:#广州 #海珠区 上课价格:400 朋友推荐的,一直喜欢胸大的老师,又喜欢后入臀浪的壮观场面。 地址是江南西地铁站A出口附近,老师比较集中的小区。来过很多次,安全方面没有问题。 房子是两房一厅,隔音很好。老师有165,胸真的是大36D⼀只手抓不住,本狼不是颜控,对于少妇的颜值要求不高,老师还挺耐看。 我迫不及待的脱去了老师的紫色包臀裙,大屁股是有弹又翘,赶紧去洗了洗了,床上服务就如课表所写,没有偷工减料,我不喜欢毒龙就没有做,老师说有真毒龙。 口的我快控制不住提枪上马,先传教士,再背面女上,正面女上,最后开始后入的冲刺,搞得我满身是汗,老师叫的也非常销魂。在我不懈的努力下终于后入交货,整个大脑都空白了。 我时间是有点久,老师全程都态度很好很有耐心,完事老师让我休息好了再去洗澡。我也不便久留,期待下次再战。 整个出击的过程接近完美,我还会反吃 地址:广州 海珠 江南西 👇🏻👇🏻👇🏻 评论区发送:广州妃儿 福利姬将回复给你

50👍13👏6🔥4🤝21🌚1🌭1

Signed 广州深圳佛山修车大队

18 Aug 2024, 16:03 UTC≈26,000 views54 reactionsread 8 August 2026
Photo

所在城市:#广州 #天河区 上课价格:500 约的3点,距离约定时间还挺长,于是先出发到潭村,找了个麦当劳吃饭,吃的时候2点多老师就发消息说可以过去了,便快速解决,走路过去 课室在潭村的商业住宅小区,进出不用登记,按指引到达课室,见到了妹子,颜值一般,坐下来来后发现她侧脸更好看些,正面就普通了,聊了会天后知道她是重庆人,脱衣去洗澡,看到身材,应该算是接近轻坦了,明显的肚腩,胸大,手感一般,后背还有纹身,这点减分,纹的还是梵文,问她说是不离不弃的意思,洗澡很仔细,没有水中萧 出来擦干躺床上准备享受服务,服务很不错,先来了一套按摩,挺舒服的,然后A面的口活也很好,真冰火两重天,会含冰块口,深喉也到位,一般坚持不住应该就出了 差不多后就戴套,先女上了一会,然后换我来,肉肉的,艹起来其实是蛮爽的,面对面的时候嘴巴闻着有一点口气,可以舌吻,不过没怎么舌她,桩了她快30分钟,最后后背位出水,也是相当耐艹, 过程中还会叫日语一库一库的,笑死,

31👍192👏1🔥1

Signed 广州深圳佛山修车大队

21 Jul 2024, 16:02 UTC≈22,700 views32 reactionsread 8 August 2026
Photo

所在城市:#广州 #白云区 上课价格:500 按照妹子指引到达地方开门见到本人 身高160左右,微胖,长的不丑和图片有9层像 胸有D,真大波 进门马上舌吻一下🤣,其实我约这个妹子最直接的原因就是波大,能舌吻,本人还不胖 就是肚子那一块有些疤痕应该生过了,但是没有太多肚腩,整体看起来ok的 服务环节就比较简单了,洗澡就洗澡 战场就只是A面主攻三点,然后一直舌吻 毕竟5米大洋虽然人的硬件可以,但是服务太少了 索性我提了69,可以好好看看她的小妹 (蝴蝶型还有点水摸了几下) 后面就是拼刺刀🤔看谁比较厉害 妹子女上大概10分钟,坚持的挺长,在换观音坐莲,后入,最后传统式出水 结束本次旅途。对了妹子只收现 地址:广州-白云-永泰 👇🏻👇🏻👇🏻 评论区发送:广州娜娜 福利姬将回复给你联系方式

19👍10🔥2👏1

Signed @sosoTMD

7 Jul 2024, 16:03 UTC≈19,600 views34 reactionsread 8 August 2026
Photo

所在城市:#广州 #天河区 上课价格: 600 硬件:我给到3分,身材无得挑剔,A4腰长腿,胸柔软感受不到是科技,面是整容的,整得嫩而已,从颈的皱褶看出不是18&22咯,人照我个人觉得只有7成。 服务:4分,舌头柔软灵活,会所出身,服务一套套 过程:本狼开车直到车陂南著名回迁小区,停车场直上科室,开门老师穿会所那套长裙迎接加高跟,比我还高,露半球。bl小头控制大头给钱,自己脱衣洗澡,自己擦身,老师已经全脱准备战衣和润滑液那些。先B面,什么漫游啥的,还是蛮舒服,毒龙真毒龙,A面舔三点,咬没有齿感,没主动69,我也没提 服务完选择秘书战衣开工,让老师躺下,我先挑逗老师两个菩提子,抹开老师两只火腿肠,观察挑逗一下小妹妹,外阴唇不算粉也不黑,没要69。先传教士3000下,要老师侧身顶老师内道左右,后入3000下,不算紧,拉起老师让其屈腿坐着后入,老师还是比较耐艹,没意见,最后到30分钟提示,加快加大力度跪坐后入冲击,加上老师被我干完润滑

20👍10🔥21👏1

Signed 联系@YUJANsex

Showing the 4 most recent of 4 posts we hold for @YUJANgz. 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

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

“广州修车大队报告” (@YUJANgz), 4,478 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/YUJANgz.

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.