成都师范大学修车🦅 【标签】 #佐佐 #8p #嫩妹车 #排骨精 #大长腿 #态度车 人照8.8分,人脸相似度很高的,20岁左右,高挑排骨,胸有B屁股肉,全身通体雪白,长相甜美可爱,身高168,体重90,长相还是比较可爱的,长腿细腰,身材很好,人工白虎,户型一线天,很白净,无异味,反馈明显,洞口小,包裹感明显。 服务:洗,吹,做,69,舔胸。 优点:皮肤很白,甜美可爱不冷场. 缺点:可以多开发点服务。 总结:硬件8.8分,软件7.8分,态度8.5分。条件不错的妹子,适合嫩妹控,服务控不太合适。 性价比:8分 优惠情况: 上牌前三天报告-1 联系老师:@zz6688zzj 双向联系:@gmsf888_bot 开课地址:高升桥 老师售后投诉联系:@Bei_QiaoFeng 狼友群:@cdshifandaxue #成都修车 #成都楼凤

Channel
成都师范大学已验证老师车库
@chengdu_normal_university
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
58,627subscribers
+2,893 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002625594865 |
|---|---|
| Type | Channel |
| Usernames | @cdc_wow @cdcwow1 @chengdu_normal_university @yanzhengcheku |
| Description | 师范大学验证车库: https://t.me/yanzhengcheku 师范大学主群:@cdshifandaxue (可以搜索附近老师 @chengdu_normal_university @cdc_wow 师范大学老师广告群:@chengdunu (有色情限制。可在主群解除色情限制后访问 师范大学报告频道:https://t.me/SFbaogao |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 107 |
| Confirmed unchanged | 1 time, most recently 27 September 2026 |
| On Telegram | t.me/chengdu_normal_university |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Sept 2026, 22:01 | 58,627 | +28 |
| 27 Sept 2026, 08:59 | 58,599 | +24 |
| 26 Sept 2026, 20:38 | 58,575 | +30 |
| 25 Sept 2026, 21:01 | 58,545 | +166 |
| 19 Sept 2026, 02:59 | 58,379 | +53 |
| 17 Sept 2026, 18:41 | 58,326 | +9 |
| 17 Sept 2026, 15:20 | 58,317 | +15 |
| 17 Sept 2026, 12:16 | 58,302 | +41 |
| 16 Sept 2026, 17:18 | 58,261 | +40 |
| 15 Sept 2026, 16:22 | 58,221 | -1 |
| 15 Sept 2026, 15:21 | 58,222 | +20 |
| 15 Sept 2026, 10:20 | 58,202 | +39 |
| 14 Sept 2026, 19:18 | 58,163 | +48 |
| 14 Sept 2026, 00:17 | 58,115 | -1 |
| 13 Sept 2026, 21:21 | 58,116 | no change |
| 13 Sept 2026, 18:19 | 58,116 | +55 |
| 13 Sept 2026, 03:55 | 58,061 | +40 |
| 12 Sept 2026, 03:57 | 58,021 | -4 |
| 12 Sept 2026, 02:55 | 58,025 | no change |
| 12 Sept 2026, 02:19 | 58,025 | first reading |
Engagement
107 posts held, back to 11 August 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 101 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.94%
- avg views ÷ 58,627 subscribers
- Avg views / post
- 3,480
- 65 posts measured
- Reaction rate
- 0.034%
- reactions ÷ views · ER floor
- Posts in window
- 65
- of 107 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 10 of 65 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 107 (11 August 2026 – 29 September 2026) |
| Views total | 226,499 |
| Reactions total | 12 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 17:48 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
- ≈1,470
- Videos
- ≈159
- Links
- ≈31
Lifetime counters from Telegram’s own channel header, read 29 September 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
- 5m 57s
- Average length
- 9s
Measured directly from 38 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
33 reactions across 24 posts, in 8 distinct kinds. The most used accounts for 48.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 16 | 48.5% | |
| 🎉 | 6 | 18.2% | |
| 🔥 | 5 | 15.2% | |
| 👏 | 2 | 6.06% | |
| 😁 | 1 | 3.03% | |
| 😈 | 1 | 3.03% | |
| 😢 | 1 | 3.03% | |
| 🥰 | 1 | 3.03% |
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 26 of the 107 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 33 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 107 most recent posts we hold, published 11 August 2026 to 29 September 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必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6281955995
成都师范大学修车🦅 【标签】 #玖玖 #半套 #服务车 #御姐 #匈奴人 #4.5p 艺术照8.5分,年龄26左右,身高167,长相御姐肤色正常。胸D手感不错,屁股较大有点小肚子,半套服务,课表上的,态度好,口活和叫声都不错,健谈不会冷场,毒龙体验感拉满。 总结:专业半套,服务很多,毒龙和口活特别不错,可以口爆,舌头灵活,态度和互动都挺好的,不会觉得尴尬,不催有耐心。喜欢玩半套的和喜欢服务可以去体验,值得打卡。 性价比:8分 优惠情况: (内部群8折 师范狼友8折进入内部群条件查看详情点击蓝色字体) 联系老师:@CDCMMJTFFF 开课地址:市区 老师售后投诉联系:@Bei_QiaoFeng 狼友群:@cdshifandaxue #成都修车 #成都楼凤
师范大学修车🦅 【标签】 #林依依 #颜值车 #态度车 #匈奴人 #御姐车 #服务车 #7P 工兵评定:御姐车,服务身材系列,水中萧,dl,莽蛇,甚至吸手指等应有尽有,据说也是ww单飞 工兵报告在群内报告频道,可以导航查看 https://t.me/SFbaogao 优惠情况:暂无 联系老师: @yiyi7782 教室位置:石羊立交 老师售后投诉联系:@Bei_QiaoFeng 狼友群:@cdshifandaxue #成都修车 #成都楼凤
成都师范大学修车🦅 【标签】 #樱子 #态度车 #女友感 #服务车 #特色项目 #6p 老师人照8分 妆容精致 身材娇小 女友感十足 一双腿腿纤细笔直 胸有C 皮肤白嫩 还有特色 服务:课表上的都有做 服务可以 热情 总结:整体来说老师很不错 性价比杠杠滴 全程不机车 可以持续输出 各种姿势都可尝试 服务很专心 姿势也很丰富 相当难得 性价比:8 优惠情况:暂无 联系老师:@yingziwawa 开课地址:三圣乡 老师售后投诉联系:@Bei_QiaoFeng 狼友群:@cdshifandaxue #成都修车 #成都楼凤
成都师范大学修车🦅 #爱丽丝 #御姐 #排骨精 #身材车 #4.5p 锐评:人照8分,妆容精致 ,颜值高,年龄25左右,个子160左右,皮肤白皙,入手光滑,排骨精,🐻b+,挺巧,微科技。 服务:课表上有的都有,69由于个人原因没要求,dl不错,口的时候有眼神交流.做完后还有按摩服务,服务时间拉满。 总结:半套就是为了放松的,老师颜值在线,聊天情商在线,服务也在线。推荐打卡。 性价比:#8分 优惠情况:暂无 (内部群5折优惠) 联系老师:@CDCMMJTFFF 开课地址:市区 老师售后投诉联系:@Bei_QiaoFeng 狼友群:@cdshifandaxue #成都修车 #成都楼凤
成都师范大学修车🦅 【标签】:#安琪 #混聊 #御姐车 #颜值车 #8P 锐评:23的御姐,人照8分(只是觉得和照片不像,但是本人颜值很过关,标标准准的颜值车),身高168,体重90斤,肤色白,胸B+,全身无纹身,下面户型好看,毛量稀疏,商K转业的老师,颜值高,浴室小无陪洗,会帮擦干,身材好,会主动穿皮肤,前凸后翘视觉享受佳。 服务:两件套+蛇 优点:颜值高,讲话声音好听。 缺点:按颜值车的标准来说没啥缺点,硬说人家没服务啥的也不合适。 总结:8p标准颜值车,纯靠颜值开8的水平,推荐喜欢颜值高的狼友感受,推荐其他狼友结合报销打卡。 性价比:9分 优惠情况: 上牌前三天报告-1 (内部群8折 师范狼友8折进入内部群条件查看详情点击蓝色字体) 联系老师:@Jihee_jku 双向联系:@Jihee_InboxBot 开课地址:倪家桥 老师售后投诉联系:@Bei_QiaoFeng 狼友群:@cdshifandaxue…
成都师范大学修车🦅 【标签】:#岩岩 #自聊 #颜值车 #御姐 #7p 锐评:人照9分不愿意露脸 参考身材吧,露脸少真人长得漂亮,知性御姐风,身材和图没区别,瘦高170,体重不过百,手长腿细腰线好,不帮洗,皮肤滑,肉感紧实,无纹身,人工白虎,胸b-c,明显科技,无异味蛇,没有过多流程化,口技很好,吮吸感强烈,有69,甜批无异味,女上体力好,生理反馈明显,又紧出水也快,传教体感很好 服务:蛇纹,舔胸,69,口,舔蛋 优点:颜值高,身材窈窕,有肉感的排骨精,做爱主打感觉,会直白告诉自己喜欢什么姿势,外观人妻感足,反馈偏小女生,敏感,出水快,乐观健谈, 缺点:科技胸 总结:有种商业女精英,高跟黑丝的都市丽人背地里在和情人幽会的爽感,外加颜值性格招人喜爱,身材和随性的感觉也是加分项 性价比:8.5 优惠情况: 上牌前三天报告-1 (内部群8折 师范狼友8折进入内部群条件查看详情点击蓝色字体) 联系老师:@Nano911…
成都师范大学修车🦅 【标签】 #蔡少芬 #少御车 #排骨精 #6p 人照8.5(参考视频,有美白瘦脸),黄头发。身高162左右,标准排骨精,胸B,mimi挺立,有隐约马甲线。皮肤白皙但是有纹身,小穴好看但是不能嗦。爱爱过程中各种动作很配合。 服务:三件套。口技很不错,各种吮吸舔舐,还有眼神挑逗。 优点:声音好听,甜美。排骨精胸不算小。很听话,很配合。 缺点:无蛇无69,有点点怕痒。 总结:偏感觉控的小只少御车。 性价比:8.1 优惠情况: 上牌前三天报告-1 联系老师:@yuqing11211 双向联系:@yanchu89_bot 开课地址:大源 老师售后投诉联系:@Bei_QiaoFeng 狼友群:@cdshifandaxue #成都修车 #成都楼凤
成都师范大学修车🦅 【标签】: #苡奈 #身材车 #大长腿 #颜值车 #6p 锐评:颜值御姐,人照8.5分(参考视频),年纪22左右,身高170,体重90多斤,胸B+,蝴蝶逼,粉嫩毛少,批紧水多,包裹感强。 服务:鸳鸯浴,🐍吻,亲咪咪,无套吹箫,深喉, 爱爱。 优点:身材高挑,大长腿,全身无赘肉,皮肤白嫩滑,有🐍吻。 缺点:本人没有照片好看,皮肤松弛干燥,无69,服务少。 总结:身材高挑,大长腿,颜值御姐,胸B+,手感柔软舒服,不下垂,有🐍吻,无69。 性价比:8.5分 优惠情况: 上牌前三天报告-1 (内部群8折 师范狼友8折进入内部群条件查看详情点击蓝色字体) 联系老师:@CDyinai 双向联系:@CDyinai_bot 开课地址:东郊记忆 老师售后投诉联系:@Bei_QiaoFeng 狼友群:@cdshifandaxue #成都修车 #成都楼凤
成都师范大学修车🦅 【标签】 #喵喵 #自聊 #御姐车 #细枝硕果 #6p 人照8.2(图一是本人,有瘦脸磨皮美白,是全妆接客),整体属于气质小只马御姐,长发及腰。身高162左右,细枝硕果,胸C,mimi挺立,腰腹平坦无赘肉,腿型好看。正常肤色无纹身,蝴蝶户型,小森林比较茂盛。女上体力挺好的,包裹感很不错,比较润,反馈自然。 服务:三件套+AB面+按摩+蛇漫+毒龙+过水+胸推。项目挺多的,但是每个项目的服务时间不长。 优点:细枝硕果无赘肉。无纹身。爱爱反馈真实。 缺点:无舌吻。过程中偶尔看手机。服务时间稍短 总结:气质型小只马御姐,颜值身材都不错,软件也还行。属于硬件高一点的轻服务车 性价比:8.3 优惠情况: 上牌前三天报告-1 联系老师:@aaamiao456 双向联系:@miaomaioer_bot 开课地址:大源 老师售后投诉联系:@Bei_QiaoFeng 狼友群:@cdshifandaxue #成…
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成都师范大学修车🦅 【标签】 #苏乔晚 #御姐 #颜值车 #身材车 #10P #大蟒蛇 #锐评:人照几乎一直,真人颜值更高(个人感觉本人比照片好看),身材身材顶配。纯天然B照片,皮肤滑,自带体香,顶级长腿,马甲线蜜桃臀,高射炮架子,穴紧易出水。洗完澡主动向我发动大蟒蛇进攻,女上电动小马达,声音甜美,性格温柔,情绪价值堪比女友,做爱自带反差感 服务:#三件套 + #舌吻 + #口爆 + #制服丝袜 总結:高颜值御姐,马甲线,蜜桃臀,大长腿,自带体香,态度很好,随时都含情脉脉的看着你,做爱姿势配合,说话声音温柔,洗完澡会主动大蟒蛇进攻,吸舔深喉舌尖在龟头上扰动,女上电动小马达,自带一排情趣丝袜和高跟鞋 性价比:超过8p不谈性价比 优惠情况: 暂无 联系老师:@SuQiaoWan_028 开课地址:#心岛 老师售后投诉联系:@Bei_QiaoFeng 狼友群:@cdshifandaxue #成都修车 #成都楼凤
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Showing the 12 most recent of 107 posts we hold for @chengdu_normal_university. 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.
Posts edited after publishing
@chengdu_normal_university edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 28 August 2026
- Most recent edit
- 28 August 2026
Mentions
Named by 11 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.
@SFbaogao · 13,95789 posts成都师范大学每日开课(公告频道)
@Cdc_wowKaiKe · 16,3567 posts白微的圈
@baiweidequan · 3,3872 posts成都修车 · 《痴颜录》
@ChiYanDairy · 13,8502 posts出击回忆录
@cjhyl · 16,2782 posts成都小雪宝宝的生活
@Xiaoxue13146 · 12,2072 posts筱岛由菜🏠
@CD2026B · 1,4961 post妍妍的资料
@kkuugs7368 · 1,2621 post好运常在哟
@pf194 · 1,5841 post阮雪小札
@UUschannel · 5,7891 post鱼幼薇的移动城堡🌸
@yw653 · 1,1171 post
Names
Channels on the register whose handles appear in this channel's posts.
@CdShiFanDaXue · 21,70794 posts成都师范大学每日开课(公告频道)
@Cdc_wowKaiKe · 16,35610 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,814,5619 posts成都外围大鹏精品海选
@cddp688 · 8,0432 posts成都楼凤真人秀
@ChengDuZRX · 4,7022 posts出击回忆录
@cjhyl · 16,2782 posts筱岛由菜🏠
@CD2026B · 1,4961 post成都修车 · 《痴颜录》
@ChiYanDairy · 13,8501 post妍妍的资料
@kkuugs7368 · 1,2621 post成都师范大学报告频道
@SFbaogao · 13,9571 post小小🐇频道
@SuXiaoTup · 2,2851 post阮雪小札
@UUschannel · 5,7891 post成都小雪宝宝的生活
@Xiaoxue13146 · 12,2071 post
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 27 September 2026 — this entry's latest reading, not the date you are reading this.
“成都师范大学已验证老师车库” (@chengdu_normal_university), 58,627 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/chengdu_normal_university.
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.