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Channel

深圳修车学院|老师榜单

@ksjdfcre02

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

33,025subscribers

-2,134 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-1003252420349
TypeChannel
Username@ksjdfcre02
Description上榜: @chvhhchj 认证: @ksjdfcre02 总群: @ksjdfcre01 SPA榜: @ksjdfcre03 报告: @ksjdfcre041 深圳同城,文明、和谐、友善的交流社区,欢迎朋友们加入!
CreatedBetween 1 October 2025 and 31 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/ksjdfcre02

Growth

31,58335,15933,3717 August 2026 — 35,159 subscribers7 August 2026 — 35,159 subscribers8 August 2026 — 34,262 subscribers9 August 2026 — 34,136 subscribers10 August 2026 — 33,629 subscribers11 August 2026 — 33,340 subscribers12 August 2026 — 31,952 subscribers13 August 2026 — 31,583 subscribers14 August 2026 — 33,025 subscribers33,0257 August 202614 August 2026
9 measurements spanning 7 days, net -2,134. 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 31,047–35,695 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 17:1433,025+1,442
13 Aug 2026, 07:0531,583-369
12 Aug 2026, 09:5231,952-1,388
11 Aug 2026, 12:5533,340-289
10 Aug 2026, 11:2133,629-507
9 Aug 2026, 10:3334,136-126
8 Aug 2026, 13:4234,262-897
7 Aug 2026, 18:0035,159no change
7 Aug 2026, 17:5835,159first reading

Engagement

13 posts held, back to 4 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 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.70%
avg views ÷ 33,025 subscribers
Avg views / post
891
13 posts measured
Reaction rate
0.119%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 13 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 15 August 2026
Posts held13 (4 August 202615 August 2026)
Views total11,578
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 04:05 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
664
Videos
141
Links
150

Lifetime counters from Telegram’s own channel header, read 16 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
41s
Average length
8s

Measured directly from 5 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 13 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 4 August 2026 to 15 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

15 Aug 2026, 12:39 UTC89 viewsread 16 August 2026
Forwarded from @ksjdfcre03Photo

坐标: #南山 艺名:#小叶老师 #好评推荐 频道:https://t.me/Joy52088 个性标签:#治疗型疗愈抓龙筋 #舒缓精油SPA #前列腺前高开发# 脱衣舞 #养生瑶浴SPA #丝足入魂 #魅惑变装 #边缘脱敏训练 深圳(独家)简悦 & 疗愈型治疗型古法抓龙筋天花板,以男性健康为核心,专研手法多年,提升JJ持久度、软硬度、敏感度,快速恢复生殖巅峰状态。注重疗愈效果,全方位体验感,情绪价值,轻奢高端的氛围环境,喋喋迷音,享受你我独处的私密空间,丝足入魂,丝丝入心脱衣舞。泡泡浴SPA,沉醉于你我的浪漫,抓龙筋带来的极致刺激,极致诱惑,三起三落,脱敏训练,前列腺保养前高开发,酥麻酸爽,欲罢不能,高潮迭起🤩🤩 🧑‍🎓快速预约: 私聊:@Joy88888 QQ : 3544946767 v x : mojunru020 (小叶子) 双向机器人🤖:@Joy88888bot 营业时间:12:00 - 02:00

14 Aug 2026, 12:39 UTC401 viewsread 16 August 2026
Photo

😅😇😢😍😗🙊🥰📱📱📱📱 ☕️艺 名:#晴晴 📍位 置: #龙岗区 🪂课 费: 600p 1000pp 🫠频道: t.me/qingqing9168 🚀联系: @qingqing1568 🔠标签: #看老师课表图 ⭐️⭐️⭐️⭐️⭐️ ⭐️⭐️⭐️ PS:课后请在下方评论反馈✍️工兵

14 Aug 2026, 12:37 UTC384 viewsread 16 August 2026
Photo

🎰 社区晴晴(@qingqing1568) 半价/P活动🧧 📮 参与条件: 🎫 加入-龙岗坂田晴晴(个人自聊) 🎫 加入-深圳学院SPA会所🐲精龙榜 🎫 加入-深圳修车学院|老师榜单 🎫 加入-深圳修车学院报告榜 🎫 加入-深圳修车学院 └ 🎟️ 发言数大于 38 条 🎁 奖品内容: 💰️ 半价/P 🧧 × 1 💰️ 口令30🧧 × 1 ⚠️ 抽奖说明: 中奖者机器人会发送中奖信息🎉 1. 奖品自开奖后时间起5天有效期可兑换。 2.本次活动奖品由 (晴晴) 提供🎉 请联系:@qingqing1568 📅 开奖日期:(北京时间) 2026年08月22日 20时32分00秒

14 Aug 2026, 12:16 UTC374 viewsread 16 August 2026
Photo

😅😇😢😍😗🙊🥰📱📱📱📱 ☕️艺 名:#婷婷(个人自聊) 📍位 置: #龙华区 清湖 🪂课 费: 600p 1000pp 🫠频道: t.me/tingting2298 🚀联系: @tingting5568 🔠标签: #看老师课表图 ⭐️⭐️⭐️⭐️⭐️ ⭐️⭐️⭐️ PS:课后请在下方评论反馈✍️工兵

14 Aug 2026, 12:14 UTC≈1,110 viewsread 16 August 2026
Forwarded from @ksjdfcre03Photo

🎰 社区婷婷(@tingting5568) 半价/P活动🧧 📮 参与条件: 🎫 加入-深圳学院SPA会所🐲精龙榜 🎫 加入-深圳修车学院|老师榜单 🎫 加入-深圳修车学院报告榜 🎫 加入-深圳修车学院 └ 🎟️ 发言数大于 30 条 🎫 加入-龙华清湖婷婷(36C A4 腰 翘臀) 🎁 奖品内容: 💰️ 半价/P 🧧 × 1 💰️ 口令30🧧 × 1 ⚠️ 抽奖说明: 中奖者机器人会发送中奖信息🎉 1. 奖品自开奖后时间起7天有效期可兑换。 2.本次活动奖品由 (婷婷) 提供🎉 请联系:@tingting5568 📅 开奖日期:(北京时间) 2026年08月21日 20时12分00秒

10 Aug 2026, 12:40 UTC≈1,150 viewsread 16 August 2026
Forwarded from @ksjdfcre03Photo

坐标: #南山 艺名:💥樱花境·疗愈セクシー💥 纯口碑,好评推荐💋 频道:https://t.me/yhuajzlj88 个性标签:#治疗型疗愈抓龙筋 #舒缓精油SPA #前列腺前高开发# 脱衣舞 #养生瑶浴SPA #丝足入魂 #魅惑变装 #边缘脱敏训练 龙脉唤醒,突破腺制,针对性功能障碍,阳气不足,手淫过度,阳痿早泄,性欲低,而且特别敏感,秒射,啪啪想延时的宝宝。治疗型疗愈抓龙筋手法可以促进生育能力,疏通经络,缓解身心疲惫,增强免疫系统,有效改善以上问题,效果显著❤️ 细致的服务,贴心的享受。极致诱惑,手法专业。既可疗愈,又能体验老师的娇喘,白皙嫩滑的肌肤,每一寸都散发着迷人的吸引力,高挑的身姿和完美曲线,释放出无限的魅力,在激情中绽放,欲罢不能,私享独处的浪漫🥰 🧑‍🎓快速预约:🚓🚑🚒🚐🛻 私聊:@Yhuaj520spa QQ : 3442974263 v x : mojunru020(桔子) 添加

10 Aug 2026, 12:35 UTC≈1,060 viewsread 15 August 2026
Forwarded from @ksjdfcre03Photo

💥抓龙筋 半裸亲密抚触式Sex性疗愈💥 花名: #小花 位置: 深圳 #南山 服务: #胸推 #抓龙筋 #丝袜制服 #漫游 私聊: @xiaohua131488 频道: @nsxh1xh520 【湾区唯一】私享新体验——半裸亲密抚触式Sex性疗愈 不限次数深度释放。这里是一个除了工作和家庭以外的第三空间,也是一个只属于你放下身心疲惫的地方,来这里,展示最真实的你,安心做你自己。无论你喜欢身体裸推,身胸漫游,情趣诱惑,抚触亦或任何外界或你自认为变态下流的性癖好,性经历和性幻想,都可以安心表达与满足。让释放自然而然的发生,真实即滋养, 600/60分钟 800/80分钟 1000/100分钟 微信:mojunru020 🚓🚑🚒🚐🛻 QQ:3544946767 地址: 深圳市南山南头古城附近 预约联系:@xiaohua131488 频道链接:https://t.me/nsxh1xh520

9 Aug 2026, 13:41 UTC838 views1 reactionsread 15 August 2026
Photo

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1

8 Aug 2026, 09:56 UTC≈1,050 viewsread 14 August 2026
Forwarded from @ksjdfcre03

https://t.me/+xwB5fRKKkAM3YThl

6 Aug 2026, 12:49 UTC≈1,480 viewsread 14 August 2026
Forwarded from @ksjdfcre03Video

👉👉👉听风晓月SPA馆💥💥💥 🌺专业手法,极致体验。私密的空间,让哥哥们尽情释放性欲野性 😍性感胸滑臀推、海底捞月、波涛汹涌、蚂蚁上树、高山流水、日式调情、猴子偷桃、鼻吸指滑 💦手、足、胸无限释放、深度抓龙筋+前列腺高潮/龟责榨精 🫣柔式SPA,更有神秘道具加持,无限变装及丝袜,满足哥哥的小癖好哦 💥听觉、触觉、嗅觉感官全面提升,让互动更深入、出水更彻底 项目A:浅层放松,唤醒感官 699/60min 项目B:深层修复,释放渴求 899/80min 项目C:身心合一,巅峰体验 1099/100min 标签:#福田 #抓龙筋 #泰式抓龙筋 #精油SPA #丝足 #道具 #剧情 #cos 关注频道:https://t.me/tingfengSPA TG联系:@yefeng0918 双向联系:@tfxybot QQ联系:2894775064

5 Aug 2026, 06:59 UTC≈1,580 viewsread 14 August 2026
Forwarded from @ksjdfcre03Photo

👉👉👉全深圳最骚小时游戏场💥💥 👍👍👍游戏多达30多个、一轮下来1到2小时气氛到巅峰、嗨翻全场、点爆G点、可以做到一浪接一浪🕺🕺🕺 💥场所全新装修升级、花最小的钱体验最服务和最高的情绪价值、场所可以保证每天到场160个妹妹😘、年龄18~26之间….. 能喝、能玩😛、能摸😛😛 💥本人可以保证可以做到先看妹妹、觉得合适在上酒、没挑到合适的妹妹、老弟送你下楼分文不取、透明化收费、不搞隐形收费💎 🚀私聊: @Awangxiao 📱微信同号:19198104507 🚓🚑🚒🚐🛻

5 Aug 2026, 06:34 UTC≈1,280 viewsread 14 August 2026
Forwarded from @ksjdfcre03Photo

#深圳,#宝安西乡 #宝安上合 #宝安流塘 #龙华 #龙华汽车站 营业时间:12点-凌晨4点 深圳94天花板之一我们比的不是价格,比的是服务。 服务项目: 冰火过水,真胸调情,丝足诱惑 舌头漫游,舌头毒龙👃吸 舔蛋蛋,海底捞月 高山流水 舔鲍鱼🦪可扣,可舔,别家有的服务这里都有。 服务时间60分钟内出水两次不另收费、(免费过夜)🏠免费地下停车场停车。 美女40位以上,每天至少30位上班,颜值高,服务好,预约就安排,安排到位,不排队,💋已认证✅人照合一,所见即所得,放心出击🫦 现场挑选美女,支持线上挑选 ,线上挑选不可换,到店安排换到 合适为止!! 主打安全可靠 实地门店会所,无充值,无套路、无小费等等。 微信只发位置,不闲聊。 🐻出,腿出 原价468 预约价398 👉🏻微信: yysa62210 hst6620 ☎️私聊: @yiren5388 ☎️频道: https:

Showing the 12 most recent of 13 posts we hold for @ksjdfcre02. 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 — 422,875 of 1,481,217entries 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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.

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.

“深圳修车学院|老师榜单” (@ksjdfcre02), 33,025 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/ksjdfcre02.

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.