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Channel

预约流程|【修车/手册】📕

@xcsc1

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

202subscribers

+13 since we began measuring on 13 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001977832801
TypeChannel
Username@xcsc1
Created2 July 2023 — measured — dated from the channel’s first post
First recorded13 August 2026
Last confirmed live17 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/xcsc1

Topic

Other / unclassifiable — 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 24 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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 why it has no browse page of its own yet.

Growth

189202195.513 August 2026 — 189 subscribers14 August 2026 — 189 subscribers22 August 2026 — 195 subscribers30 August 2026 — 198 subscribers8 September 2026 — 200 subscribers17 September 2026 — 202 subscribers13 August 202617 September 2026
6 measurements spanning 34 days, net +13. 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 187–204 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 04:55202+2
8 Sept 2026, 14:41200+2
30 Aug 2026, 12:34198+3
22 Aug 2026, 11:58195+6
14 Aug 2026, 22:33189no change
13 Aug 2026, 19:32189first reading

Engagement

10 posts held, back to 2 July 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of 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 10 posts for this entry, the most recent from 15 May 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

65 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 63.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4163.1%
👍2132.3%
👎11.54%
👏11.54%
🤔11.54%

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 9 of the 10 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 65 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 2 July 2023 to 15 May 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

15 May 2026, 14:45 UTC283 views4 reactionsread 13 August 2026

外围安全指南📕 高端外围安全吗? 找外围的时候,大家尤其要注意的是安全问题。毕竟人人都想开开心心出击,并且在事后不用担心被倒查。高端外围安全与否,其实很大程度上取决于你的安全意识。 要防范被倒查,请谨记以下3点建议: 1.不要加小姐姐微信、QQ、电话等任何联系方式。如果加了,也请谨记不要在聊天记录中留下任何可能构成证据的消息。任何国内联系方式的聊天记录都无法真正删除。(你以为删了,实际上都保存在云端和手机里) 2.用现金,不要通过微信、支付宝或者银行卡等给小姐姐转账,包括转账、红包和口令红包。口令红包尤其具有迷惑性,很多人以为口令红包是匿名的,但实际上是实名的,而且会优先查口令红包记录。任何线上的转账记录都无法真正删除。 3.在敏感时期,如果要去小姐姐工作室,记得戴上口罩和帽子。最好让小姐姐外出酒店(可以接待外宾的外资酒店,在不被前台看到的地方见面)。 为何要牢记这三点呢?因为当外围或者楼凤小姐姐被抓的时候,为了固定证据,…

❤4

26 Sept 2023, 14:01 UTC≈4,470 views3 reactionsread 13 August 2026

【提防诈骗】Telegram用户防骗手册 ———————如果你在电报上收到一条陌生私信,它99%是个骗子 在Telegram上进行交流和信息获取时,安全是首要的。我们特此编写了一份防骗指南,以帮助你避免可能的网络诈骗: 隐私设置:我们强烈建议你在Telegram的隐私设置中将手机号码设为所有人不可见,并在添加新好友时取消勾选“分享我的电话号码”,以防止个人信息泄露。 信息来源验证:请注意,有人可能会冒充你的亲友,通过仿造他们的头像和昵称来进行诈骗。在转账或分享重要信息前,务必确认对方的身份。 保护个人信息:请不要向他人透露包括密码、银行账号、身份证号等个人敏感信息。 谨慎进行虚拟货币交易:电报上的虚拟货币交易充斥着诈骗行为,尤其是买卖黑U的交易,你需要保持高度警惕。 谨慎点击文件:请谨慎对待电报上的文件,避免点击可能含有木马病毒的文件,特别是中文包和汉化电报的文件全是病毒。 避免频繁私信:过于频繁地发送私信可能会…

👍2❤1

25 Sept 2023, 15:00 UTC≈3,920 views3 reactionsread 13 August 2026
Photo

电报首记一点,先设置隐藏自己的注册手机号。第二点,添加任何人为联系人时不要勾选分享号码(包括我),除非你和我一样是虚拟号码。

👍3

19 Jul 2023, 17:47 UTC≈5,670 views8 reactionsread 13 August 2026
Photo

显示: This group(channel) cant be displayed becuase it was used to spread pornographic content 怎么办? 苹果进色情群被限制,解决方法: 网页版:https://web.telegram.org/k/ 地址: https://desktop.telegram.org ➊点击「Settings/设置」 ➋点击「Privacy and Security/隐私与安全」 ➌找到「Sensitive content/敏感内容」 ➍ 打开「Disable filtering/停止过滤」选项 ➎重启 iOS 客户端即可。 另一种安卓手机客户端却进不去色情群。有两种办法 第一种:手机网页端关闭色情过滤观看。或者电脑端观看。(电脑端关闭过滤是不会限制的) 第二种:安卓手机端出现这种情况想在手机端看别无他法,只能换号。换个号注册或者买个号就行。

❤6👍1👏1

6 Jul 2023, 15:46 UTC≈5,140 views9 reactionsread 13 August 2026

今日科普:关于助勃和延迟的药物 专利期: 药物为什么贵,很重要的原因不是药物的原材料或者制取贵,而是药物的专利费很高。但是,有一个国家是不需要支付专利费就可以制药的,那个国家就是印度,所以印度药便宜,也促使人们大量的去购买印度药。 申请药物专利,首先要公开它的成分和制备方式,为了给药品研发公司足够的利润,但又为了避免吃不起药的人太多,药物专利期只有20年,也就是说20年之后,仿制药物就不用支付专利费。 今年已经2023年了,西地那非、他达拉非、伐地那非、达泊西汀四种药物,均已过专利期,也就是说,中国的医药企业,可以低成本的仿制。如果我说的还不够直白,更直接点就是你去拼多多(便宜)或者京东大药房(正规)买国产药吧,比印度药便宜,也正规,效果是一样的。 西地那非: 基本介绍:助勃药物,市场价每100mg有效成分5元(2023年6月18日价格,以下同),有效剂量25-200mg。别称“伟哥Viagra”、“万艾可”、“金戈”、“蓝…

❤5👍4

6 Jul 2023, 15:38 UTC≈4,230 views5 reactionsread 13 August 2026

验证报告模版: —夜樱の中、高端资源专用报告— 【老师艺名/编号】: 【验证人员】:可留可匿 【老师年龄】: 【湿度紧度】: 【人照相似】: 【凶器罩杯】: 【皮肤情况】: 【机车行为】: 【老师优点】: 【老师缺点】: 【颜值评分】: 【身材评分】: 【服务评分】: 【总体评分】: 【推荐程度】:(最高五星) 感谢每一位朋友的真实反馈,无论好评差评,都是给其他朋友指路照明,只为营造良好的氛围~ —夜樱の中、高端资源专用报告—

❤3👍2

2 Jul 2023, 13:28 UTC≈4,560 views22 reactionsread 13 August 2026

防骗教学: 🔻#色敲: 群组内有女号发诸如以下: 寻固定伴侣 高素质的来 己婚,找长其婚内性伴侣 不影响家庭的来 有色搭子吗 素质可撩 晚上好 真诚可约,素质大叔来 有素质哥哥吗 有色搭子吗 ... 点开资料介绍诸如已婚人妻,来这里玩就是图开心,性年龄94不是小姐,希望能找到志同道合的朋友... 这种是色敲车队,直登号批量进各种群群发,如果你找他私聊,他会回复你他喜欢玩刺激的,诸如情趣,SM,裸聊,跳蛋远程操控等,目的是为了截你的裸照,并让你下载软件获取你的通讯录等各种隐私,并以此要挟群发你的隐私曝光到通讯录进行敲诈勒索。在此提醒,不要相信一切天上掉馅饼的事情,这种好事轮不到你,也不要点击陌生人发送过来的任何安装包和文件,安装包如盗取通讯录,假钱包,文件点击自动下载病毒,盗号或者篡改虚拟币地址等等。 🔻 #代聊 #顶包: Telegram上除了我们这样的中介,也有真实个人做的楼凤或者夫妻档,她们会在自己的频道挂一些照片,视…

❤15👍6👎1

2 Jul 2023, 13:22 UTC≈3,720 views5 reactionsread 13 August 2026

修车常用术语: CJ——出击,同修车、上课、喝茶 P——单次 PP——两次 WT——无套 69——互舔 DL——毒龙 ST——三通/手推/打飞机 SM——字母圈,施虐与受虐 CP——潮喷 JS——技师 JT——鸡头 JC——机车/警察 ZJ——站街/中介/足交 AA/ML——爱爱 DH——大活 BY——包夜 TY——推油 KB——口爆 BT——半套/波推 92——半套TY+ST 小项 95——半套TY+KB 中项 98——全套TY+ML 大项 大蜜:170以上JS 小蜜:165以下JS 白小纯:皮肤白、年龄小、长相清纯 红休:大姨妈休息 上岸:JS不干了,换行业了 头炮:JS当天上的第一个钟 鸽:约好的时间没来,放鸽子 飞机位:JS之前约好的时间取消,有空位 驾照:假照片,人照不符 机车:服务敷衍,态度差的JS 坦克:体型胖JS 黑车:修车被骗钱、遇机车或坦克 皮卡:老菜皮,年龄大,面容显老的JS 洋马:欧美JS,特指白妞 …

❤3👍2

2 Jul 2023, 13:17 UTC≈4,430 views6 reactionsread 13 August 2026

低端/中端/高端区别: 低端:独立个人提供服务,无第三方,一般自己租住房屋或者公寓酒店等,也有只上门服务的,一般自聊QQ微信等,空间朋友圈多为本人照片。沟通过程中,只有一个明确地址房间号,无多项选择,不会提到其他第三人,不会有备选方案,如我没空给你介绍一个之类的(当然如果她有姐妹的情况也有可能)。 中端:当传统的高端桑拿,夜总会发展到一定程度时候,作为单独的美女或者经理,积累了一定的客户资源,但是自家的美女已经不能满足客户日益增长的审美需求,就转而介绍其他家的美女,进而在一个城市圈子内,大家相互介绍客户,这是中端的起源。在后期的发展中,也会进来一批非桑拿,夜总会专业的美女。中端局限在某个城市内部,相对于高端,所以叫中端。 高端:由于模特演艺行业的快速发展,模特数量的增加,很多模特在本质工作中没有足够的活干,但是接触的都是高端客户,有一批模特转而做起了上课业务,久而久之,经纪人和模特积累了一定的客户资源,但是自家美女逐渐满足…

❤4👍1🤔1

Showing the 10 most recent of 10 posts we hold for @xcsc1. 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 1 registered channel — 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“预约流程|【修车/手册】📕” (@xcsc1), 202 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/xcsc1.

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.