Channel
@CD91InstituteXCK
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
31,441subscribers
+587 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001089883775 |
|---|---|
| Type | Channel |
| Username | @CD91InstituteXCK |
| Description | 本频道为 成都91修车学院 已验证真实楼凤/外围/私影/快餐/半/全套等资源整合发布平台！ |
| Created | Between 1 September 2016 and 31 October 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/CD91InstituteXCK |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 08:36 | 31,441 | +95 |
| 12 Aug 2026, 22:04 | 31,346 | +103 |
| 12 Aug 2026, 00:32 | 31,243 | +92 |
| 10 Aug 2026, 23:32 | 31,151 | +96 |
| 9 Aug 2026, 23:45 | 31,055 | +23 |
| 9 Aug 2026, 01:40 | 31,032 | +60 |
| 8 Aug 2026, 02:41 | 30,972 | +113 |
| 7 Aug 2026, 00:15 | 30,859 | +5 |
| 6 Aug 2026, 20:05 | 30,854 | first reading |
44 posts held, back to 5 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 20 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 34 of 44 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 44 (5 August 2026 – 14 August 2026) |
| Views total | 35,665 |
| Reactions total | 71 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 14:15 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.
Lifetime counters from Telegram’s own channel header, read 14 August 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.
Measured directly from 14 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.
71 reactions across 31 posts, in 3 distinct kinds. The most used accounts for 84.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 60 | 84.5% | |
| 👍 | 9 | 12.7% | |
| 🥰 | 2 | 2.82% |
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 34 of the 44 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 71reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 5 August 2026 to 14 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91修车学院认证 艺名: #阮棠 地址: #高新区 #天府二街 价格: #600P/60分钟 #900PP/90分钟 类型: #御姐车 #大蟒蛇 #感觉车 #态度车 #自聊 #6P #天府二街 联系: @RTAAAG 锐评：老师的身高162，体重92，身材匀称无赘肉，人照相似度为8分；奶子大小B，无科技，奶头正常大小，乳晕颜色粉，手感柔软；小穴蝴蝶粉褐色毛量正常，水多较紧爱爱敏感容易高潮，服务有三件套、大蟒蛇、69、制服、舔胸 优点：人照一致的御姐，态度好，一口一个宝宝热情不冷场，情绪价值很足 缺点：服务简单 总结：该老师属于御姐车，服务态度优秀，情绪价值给的很足，大蟒蛇不断，身材和颜值在开6的范围还是很能打，推荐御姐控，蛇蛇精的狼友打卡！
✅成都91修车学院认证 艺名: #小乔 地址: #高新区 #天府二街 价格: #800P/60分钟 #1200PP/90分钟 类型: #御姐车 #态度车 #颜值车 #8P #自聊 #丝袜 #舌吻 #毒龙 #制服 #天府二街 #服务车 联系: @SHUNL7 锐评：该老师年龄25岁，身高165，体重90斤左右，无纹身，皮肤手感嫩滑，肤色正常，人照相似度为9分；网红脸颜值御姐，包臀裙穿搭前凸后翘；胸为天然C，乳头乳晕正常大小浅褐色，胸部手感柔软；下面户型为蝴蝶一线天，颜色外褐内粉，水多比较紧回家，周围毛量较少，服务有三件套，制服，丝袜，69，陪洗，过水，指划胸推，AB面，深喉、毒龙、大蟒蛇、阴推 优点：网红脸御姐，还是服务车 缺点：无 总结：网红脸颜值御姐，很热情主动大蟒蛇，聊天健谈不冷场，身材苗条无赘肉可见马甲线，正常肤色手感光滑无纹身，胸C乳头乳晕正常大小浅褐色手感柔软，蝴蝶一线天毛量少，水多较紧会夹反馈…
✅成都91修车学院认证 艺名: #小艺 地址: #武侯区 #衣冠庙 价格: #700P/60分钟 #1300PP/90分钟 报91出报告减一 类型: #嫩妹车 #女友感 #颜值车 #7P #自聊 #态度 #衣冠庙 联系: @bolihaitai1 锐评：该老师年龄20左右，裸高160cm，体重45kg，身材纤细，皮肤手感光滑有些许小痘痘，颜色偏白，大腿有大面积纹身；人照相似度为9分，广西甜妹，颜值小乖，情绪价值高，女友伴的陪伴；天然对B+，手感软糯，乳头偏小，乳晕正常不大，颜色褐色；妹妹下面蝴蝶逼，颜色粉色，毛量正常，无异味爱干净，可食用级别，紧度偏紧，会夹，容易被秒，服务三件套，大蟒蛇，69 优点::人照基本一致，颜值小乖，女友感很足，广西甜妹代表，下面很紧且会夹，大蟒蛇不停，爱笑，小虎牙漏出来很可爱 缺点：符文 总结:妹妹是属于嫩妹车，身材车，态度车，广西甜妹，身材苗条，整体的坤感和女友感都很不错，…
❤2
✅成都91修车学院认证 艺名: #御梦子 地址: #高新区 #石羊场 价格: #600P/50分钟 #1000PP/80分钟 类型: #嫩妹车 #身材车 #6P #代聊 #长腿 #舌吻 #石羊场 联系：@yumeng_686 锐评: 该老师年龄19岁，身高168，体重90斤左右，小腹有纹身，皮肤细腻，肤色小麦色，人照相似度为8.5分；青春洋溢；胸为天然B，手感弹韧，乳头烟头大小微微凹陷，颜色褐色；下面户型为蝴蝶，颜色外褐内粉，非常湿，紧度优异，周围毛量偏多。服务口活，舌吻等 优点：身材匀称高挑无一丝赘肉，蜜桃臀，盈盈细腰，皮肤细腻。吻技不错，紧度非常好。 缺点：有纹身，肤色偏黑，服务少 总结：硬件上六米价位属于身材出众，紧度优异，适合嫩妹硬件党打卡。
❤1
✅成都91修车学院认证 艺名: #叶汐 地址: #高新区 #天府二街 价格: #700P/50分钟 #1200PP/90分钟 类型: #御姐 #舌吻 #大长腿 #颜值 #态度 #7p #自聊 #胸C #天府二街 联系：@yexi188 锐评: 该老师年龄22，身高165cm，体重95左右，狼友反馈人照9 颜值评分9 视频本人胸接近c手感极佳，水多、紧，强烈推荐温柔小女友的感觉 古灵精怪皮肤光滑正常肤色情绪价值足非常会聊天，会照顾你情绪 优点：听话配合，身材颜值不错，小穴浅且紧，日感佳；真人气质佳，温柔情绪价值足。女友感满满 缺点：刚刚下水，服务略显生疏。 总结：老师女友感满满，身材颜值都在线，御姐风格皮肤滑，情绪价值足、虽然下水不久很配合很温柔，可以冲
✅成都91修车学院认证 艺名: #婉婉 地址: #成华区 #东郊记忆 价格: #700P/50分钟 #1200PP/90分钟 类型: #御姐车 #态度车 #7P #代聊 #舌吻 #无纹身 #温柔 #A罩杯 #人工白虎 #成华区 联系：@ce1shi12 锐评: 该老师年龄22岁，身高162左右，体重60kg左右，无纹身，皮肤手感还行，肤色较白，人照相似度不太高，看照片漂亮只能说像，气质化妆后还行；胸A，乳头颜色褐色，乳头较长，且软，胸部手感一般，乳晕小和乳头颜色一样褐色；下面户型为馒头，颜色浅褐色，湿度高，紧度一般，周围毛量剃了，服务菜单有，别的可以询问老师，陪洗，蛇纹老师很主动 优点：服务态度好，配合度高，下面润 缺点：有小肚子，柰子小 总结：老师很温柔，态度好，缺点就是比照片差距是真的有，肉点的好处就是耐力好些，更润些，后入视觉更好，7p认为是不太愿意去，也没有所谓适合那一类型狼友去，只能说第一眼觉得照片还…
✅成都91修车学院认证 艺名：#爽儿 地址: #锦江区 #九眼桥 价格: #600P/50分钟 #900PP/80分钟 类型: #少妇车 #服务车 #态度车 #毒龙 #自聊 #5P #九眼桥 联系: @shuanger112 锐评：该老师28岁左右，身高161cm，体重45kg，人照8.8分，真人脸还瘦点。无纹身，皮肤手感平滑，胸围小C，穿搭美艳少妇气质，乳头褐色，指甲盖大小。户型为馒头和蝴蝶之间，掰开才能看到蝴蝶，水多，紧度一般，毛量较少。服务有陪浴，按摩，指划，胸推，DL，口，69，做。 优点：人照相似，态度好，服务好，硬件在服务车里算好的一档 缺点：较流程化，少了点调情的感觉 总结：该老师在6p这个价位的服务车中硬件属于好的，态度好服务也到位，适合喜欢吃服务对硬件有一定要求的狼友。
✅成都91修车学院认证 艺名：#柠檬 地址: #龙泉驿区 价格: #500P/50分钟 #900PP/90分钟 类型: #少妇车 #颜值车 #态度车 #巨乳 #自聊 #5P #龙泉 联系: @ningmeng3a 锐评：该老师年龄26岁，身高158，体重105斤左右，无纹身，皮肤手感嫩滑，肤色小麦色，人照相似度为8分；颜值中上少妇，良家感足，胸为天然大C，有些外八，手感不错，乳头颜色浅褐色，不大，户型为蝴蝶，颜色浅褐色，湿度一般般，很紧，周围毛量偏少，会喷水，服务有陪洗，舔胸，爱爱 优点：态度好，奶子大，颜值在5的价位上耐打 缺点：有点小肚子 总结：综合硬件和软件及单P开5的价格来看，性价比较高，所以推荐少妇控、匈奴人和龙泉的狼友出击！
✅成都91修车学院认证 艺名: #于晚晚 地址：#市中心 价格: #800P/60分钟 #1300PP/90分钟 类型: #御姐车 #自聊 #感觉车 #态度车 #巨乳 #颜值车 #8P #服务车 联系: @yuwanwan5201314520 锐评: 该老师年纪26+ ，身高162 左右，狼友反馈人照8.5分左右，真人颜值好看，气质极佳，穿搭很骚，御姐类型，胸型大G，狼友自述是见过最大的～身材极品凹凸有致，无赘肉配大胸，户型一线天，包裹感好，后入最佳，服务也能打，和半套老师有得一拼，唯一不足是无🐍。 总结：颜值巨乳御姐，身材极品，服务霸道，对价格不是太敏感的狼友，值得尝试打卡～毕竟大G不常有！
上课时间12：00-01：00 🌸🌸🌸🌸🌸🌸🌸🌸 价格：普牌398元/红牌450元 /金牌500【90分钟KB不限次数】 🗺️地点：东门建设路 / 南门天府二街 / 北门昭觉寺 备注：公寓式酒店，私密性高，无定金，无套路 满意在付💰，不办卡，不充值。 预约联系： @cd02888 与你随时在线：cd095098 QQ群：654162341 两分钟没回致电：18144340869
✅成都91修车学院认证 艺名: #赵妮 地址: #高新区 #天府二街 价格: #500P/60分钟 #700PP/90分钟 类型: #御姐车 #态度车 #简单流程#5P #自聊#良家感 #天府二街 联系: @an5536 锐评：老师年纪28 9的样子，东北来的妹妹性格直爽，五官长得好看，只是脸上皮肤有点显老，画的淡妆，在微弱的灯光下，忽略掉妹妹的肤质，也算是个五官出众的美女，妹妹之前在商K做，有服务意识，全程都照顾的周周道道的，主动擦水，拿烟灰缸，身高170，体重110，身材匀称，正常黄色肤色，没纹身，不抽烟，下面毛长得好看，标准的倒三角形，逼两侧没有长毛，看起干干净净的，褐色蝴蝶逼，户型好看，服务三件套，69，有简单的B面过水，日感很好，逼里发烫，紧度好，包裹性很强，水量不错，没用水多多。叫声带哭腔，很能激起欲望。反馈真实。 优点：颜值还可以，逼紧发烫 缺点：无 总结：情绪价值高，服务周到，5/7的价格性…
✅成都91修车学院认证 艺名: #小狐狸 地址: #锦江区 #九眼桥 价格: #600P/50分钟 #1000PP/90分钟 类型: #嫩妹车 #态度车 #大胸 #丰满 #6P #代聊 #舌吻 #九眼桥 联系: @xhl19123 锐评：该老师年龄19岁左右，身高170左右，体重120左右，人照相似度7.5吧，去掉美白，眼睛要小点；胸为为C+，软且饱满，皮肤略黄，乳头颜色浅褐色；下面户型为蝴蝶，湿紧，毛毛不多，坤感很好，水多；服务为 三件套 舌吻 69 优点：身材高，很嫩，态度佳，日感好，是个不错的女友车和感觉车 缺点：有小肚子 总结：该老师属于大只嫩妹，整体肥而不腻，才19岁，五官还没有长开，身材比较有肉感，情绪价值还是坤感都很好，排骨精选手不用考虑，舌吻管饱，对于喜欢大只嫩妹的狼友来说可以打卡。
❤3
Showing the 12 most recent of 44 posts we hold for @CD91InstituteXCK. 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 — 270,920 of 1,345,403entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“成都91修车学院已验车库” (@CD91InstituteXCK), 31,441 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/CD91InstituteXCK.
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.