Channel
@chengdu_normal_university
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
55,982subscribers
+248 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002625594865 |
|---|---|
| Type | Channel |
| Usernames | @cdc_wow @chengdu_normal_university @yanzhengcheku |
| 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 | 15 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/chengdu_normal_university |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 15:18 | 55,982 | no change |
| 15 Aug 2026, 15:04 | 55,982 | +54 |
| 15 Aug 2026, 03:56 | 55,928 | +81 |
| 14 Aug 2026, 05:46 | 55,847 | +12 |
| 14 Aug 2026, 02:07 | 55,835 | +10 |
| 14 Aug 2026, 00:25 | 55,825 | +94 |
| 12 Aug 2026, 23:00 | 55,731 | no change |
| 12 Aug 2026, 22:53 | 55,731 | no change |
| 12 Aug 2026, 22:48 | 55,731 | -3 |
| 12 Aug 2026, 21:46 | 55,734 | first reading |
10 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 8 pagesof Telegram’s post history, 20 posts per page.
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 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 10 (11 August 2026 – 15 August 2026) |
| Views total | 38,240 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 11:34 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.
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.
2 reactions across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 2 | 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 1 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 2reactions 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 11 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.
成都师范大学修车🦅 【标签】:#黎吧啦 #少女车 #大长腿 #人工白虎 #10p #多p 锐评：人照8.5分，参考视频，本人脸圆一点，同样带个黑框眼镜，颜值属于耐看型。170身高，身材匀称，大C脂肪胸，纯天然手感好，腰腹无赘肉，臀部有肉，大长腿，全身无纹身，皮肤比较白，小穴无异味，爱爱反馈自然，小穴会夹。 服务：三件套，69，蛇纹，丝袜。舌头很软。口技很牛逼，牛牛能能明显感觉到舌头的挑逗、轻点、环绕；口腔的吮吸，亲吻，并且口的时间比较长 优点：气质不错。炮架子身材。口技一绝。柰子好玩。爱爱过程中有宫缩。全程黑框眼镜，很有反差感 缺点: 价格吧 总结：妹儿自述比较耐，加上服务不多，最好还是时间稍微长点的ly体验好点吧。没啥大的短板，硬件上也没大的特长，个人认为10p稍贵。 性价比：8p以上不谈性价比 优惠情况： 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：@libalabao…
成都师范大学修车🦅 #淼淼 #自聊 #服务车 #排骨精 #大长腿 #6p 锐评:人照九分，妆后颜值不错，耐看。身材很排骨，165的身高，不到90斤，还是大长腿。不过🐻不大，手感不错。 服务：能蛇。柔式调情，时长有保证，中途会胸推，臀推，指滑，并且配合做出诱惑姿势。口得认真，过程会用眼神交流，变着花样口。爱爱反馈挺强烈的，会盘腿，叫声自然，下面很紧，触感明显。 总结：确实是技师出生，按摩，调情手法都很专业，算是技术好的年轻ls。 性价比：#9分 优惠情况:暂无 （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：@mm088999 开课地址：天府二街 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】：#小星星 #御姐车 #颜值车 #态度车 #7p 锐评：23岁四川的御姐（带一点轻熟女感），人照8.8分，去照片美颜是本人。老师身高163cm，体重45kg，身材纤细，🐻b，花生米大小乳头，皮肤光滑，胸前有玫瑰花纹身，下面为正常毛量，蝴蝶小穴，水润紧致。老师会穿着有制服丝袜服务，爱爱态度反馈都不错，影响最深是舔咪咪和口的技巧较高，会拿舌头打圈舔，边舔边呻吟，时间久。 服务：三件套，陪洗，kiss，69，丝袜。 优点：有制服丝袜加成，人照较高，服务态度都不错，反馈较好。 缺点：不适合嫩妹控浪友。 总结：开7的御姐车，老师年龄不大，既有御姐感觉又有轻少妇感觉，颜值，身材，服务，爱爱都符合价位，推荐前三天减一打卡。 性价比：8.3 优惠情况： 上牌前三天报告-1 联系老师：@hxx52013 双向联系： 开课地址：高升桥 老师售后投诉联系：@Bei_QiaoFeng 狼友群：@cdshifanda…
🎲 新抽奖活动 🎲 🎁 活动名称：师范大学六周年庆典 📜 活动描述：为感谢各位狼友一直以来的支持，小雪携手师范大学群组进行福利放送 二、参与方式：关注参与小雪个人频道以及师范大学车库频道，完成即获当日资格； 三、特别说明： 1.中奖者需三天内私信 @yyy131456 兑奖提供中奖截图（中途不能退出频道，否则作废）； 兑奖时间一周 2.开奖前需要设置好自己的用户名，无用户名不予兑奖。 3.炸号不予兑奖，代金券中奖后不允许转让： 注：为避免抽奖机器人 特以网购卷进行 网购代金劵指不论淘宝 抖音 快手 京东购买各种物品累积达1000 不折现 🔑 参与关键词：抽奖 参与条件： 📺 需要加入以下频道/群组： 1. Xiaoxue13146 2. chengdu_normal_university 3. Cdc_wowKaiKe 4. CdShiFanDaXue 🏆 中奖人数：1 位 🎁 奖品设置：…
成都师范大学修车🦅 【标签】:#馨馨 #大长腿 #颜值车 #嫩妹 #7p 锐评：人照9，身材也符合，妆扑得厚，甜妹网红脸，高个子175，身材匀称没有一点小肚子，腰线很长，简单服务，不催不油，有一定女友感，皮肤正常色，手臂纹身，胸b掌中宝，批肉色无异味，性格喜人态度挺好 服务：三件套，69，蛇纹 优点：嫩妹，175大长腿，身材匀称修长，胸圆润饱满，颜值甜美向，听话态度好，不抗拒蛇 缺点: 口略显敷衍，女上生疏，需调教 总结：少有大高个身材比例还极好的嫩妹，硬件条件很抗打，蛇和舔批都感觉很好，傻白甜即视感，能提供些情绪价值，做爱反馈也不干巴，精进口技会更好 性价比：8.5 优惠情况： 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：@xx0288s 双向联系：@Xiaomifengweng_bot 开课地址：武侯大道 老师售后投诉联系：@Bei_QiaoFeng 狼友群：@cds…
成都师范大学修车🦅 【标签】 #晚晚 #自聊 #特服 #身材车 #SM #御姐 #态度车 #7p 人照8分，去美颜就是本人，25/26的御姐，165，穿黑丝身材高挑有型，眼神勾人，进门主动递水递鞋，聊天不生硬，感觉老师很主动，略带骚骚的，放水帮洗，胸b-c，皮肤挺好的，老师换上豹纹骚逼套装，擦干净上床，一口一个主人，主动拿出刚塞让我给塞屁股里，先是背面舔耳朵，舔全身，毒龙，然后正面舔胸，舔蛋，从上到下舔到脚，然后口，由浅入深，加上深喉，我站起来老师像小狗在我胯间钻，示意我拿鞭子抽打她，呻吟很大，我一把抓住老师头发，按住头口了一会，躺着一边口，一边用粉棒刺激老师的骚批，完事老师边蛇边抓了一会龙筋，准备戴套，传教磨了两下枪，进去比较紧，老师身体很软，很配合，反馈爆骚，我扛腿搂腰攻速加倍，老师主人爸爸老公啊啊啊的叫，把手放在老师脖子上略带窒息也很有感觉，女上可以把玩老师的胸，很软刚好一只手，边蛇边用力怼进去，后入老师屁股翘得很高，…
🔥2
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
今日直播结束 总结以下原因 第一，很多狼友反馈听不到声音 还有一部分狼友反馈看不到画面 首先听不到声音和看不到画面是梯子问题 现在直播已经可以容纳最低1000人同时观看 第二，中途出现一个小插曲直播设备中途来了个电话打断了直播 后续复播了 下次完善这个弊端。 第三 这俩都是年纪较小 可能对于sm不是很熟练 但是m可以随时去调教配合度很高。 直播地址：@chengduzrx 今日直播对象： @nnx188 （S） @ailing010 （M） 感兴趣的狼友可以去约课试试。 过两天还有一场专业的SM直播 不过灯光可能会暗一些 敬请期待！
成都师范大学修车🦅 【标签】：#艾琳 #嫩妹车 #sm #炮架子 #6p 锐评：人照8.5-9分，豹纹裙那张基本就是本人了，稍有修图。老师身高167cm左右，整体属于匀称有肉型，胸C，挺拔饱满，有腰线，坐下有点点小肚子（不明显），皮肤较白，全身无纹身。小穴比较湿，无异味，包裹感不错。sm道具挺多的。 服务：三件套，69、舌吻、小玩具、制服 优点：炮架子身材，一点不胖，胸好看。玩具多，还主动教学怎么玩。人照高 缺点：不玩sm的话，服务内容不多。 总结：人照相似度比较高，身材比照片好，还有小玩具可以玩，总的来说常规服务上少了点，sm倒是可以试试。 性价比：8.1 优惠情况： 上牌前三天报告-1 联系老师：@ailing010 双向联系： @AL7362_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
成都师范大学修车🦅 【标签】 #梦琪 #自聊 #颜值车 #身材车 #服务车 #御姐 #9p 人照9，颜值和身材几乎没差距，高170，健身身材，没有赘肉，性感轻欧美风，客气换鞋，陪洗，身材很好，有马甲线，前凸后翘，胸D，手感很软，蜜桃臀，小腹有纹身，贴身浴，帮擦，有各种情趣衣可以挑选，上床服务很多，ab面都有，从耳朵根到脚后跟，正面也是，口很带劲，落地镜前蹲着口，时间很长，做日感很好，翘臀后入比较爽，反馈也很骚 服务：水中萧，蛇纹，ab面胸推，臀推，过水，吸皮，舔背，舔胸，毒龙，口，深喉 性价比：超过8p不谈性价比 优惠情况：暂无内容 联系老师：@yydd225577 开课地址：神仙树 老师售后投诉联系：@Bei_QiaoFeng 狼友群：@cdshifandaxue #成都修车 #成都楼凤
Showing the 10 most recent of 10 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.
Citation-graph rank — 60,083 of 1,480,688entries 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.
Named by 5 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.
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.
“成都师范大学已验证老师车库” (@chengdu_normal_university), 55,982 subscribers as measured 15 August 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.