CDC035 小小言 | 24岁 | 160cm | 42kg | C 📍 成都 高新区 | 天府二街 💰 7P | 12PP 🎯 鸳鸯浴、舌吻、69 #高新区,#南门,#天府二街 电报:@xxyan520 频道:https://t.me/xxyan52 ⭐ 85条评论 | 综合9.3分 ✅ 可预约 📖 查看资料/联系方式/评论
❤1👌1
Signed 呆呆兽v2

Channel
@chengducity
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
30,054subscribers
-1,129 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001793605878 |
|---|---|
| Type | Channel |
| Username | @chengducity |
| Description | 只收录靠谱老师,确保了联系方式不失效! |
| Created | 27 July 2022 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/chengducity |
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 91% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 19:08 | 30,054 | -35 |
| 10 Nov 2026, 14:37 | 30,089 | -26 |
| 9 Nov 2026, 02:41 | 30,115 | -11 |
| 7 Nov 2026, 17:07 | 30,126 | -8 |
| 6 Nov 2026, 19:17 | 30,134 | -20 |
| 5 Nov 2026, 18:49 | 30,154 | -14 |
| 4 Nov 2026, 18:08 | 30,168 | +5 |
| 3 Nov 2026, 17:56 | 30,163 | -6 |
| 2 Nov 2026, 21:11 | 30,169 | +5 |
| 1 Nov 2026, 18:20 | 30,164 | -19 |
| 31 Oct 2026, 18:11 | 30,183 | -11 |
| 30 Oct 2026, 16:29 | 30,194 | -15 |
| 29 Oct 2026, 13:21 | 30,209 | +3 |
| 28 Oct 2026, 13:15 | 30,206 | -25 |
| 27 Oct 2026, 09:44 | 30,231 | -21 |
| 26 Oct 2026, 08:36 | 30,252 | -16 |
| 25 Oct 2026, 09:09 | 30,268 | -12 |
| 24 Oct 2026, 06:05 | 30,280 | +7 |
| 23 Oct 2026, 06:58 | 30,273 | +2 |
| 22 Oct 2026, 10:15 | 30,271 | first reading |
51 posts held, back to 27 July 2022 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 183 pages of 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 14 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 November 2026 |
|---|---|
| Posts held | 51 (27 July 2022 – 12 November 2026) |
| Views total | 32,450 |
| Reactions total | 40 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Nov 2026, 01:28 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 November 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.
Measured directly from 33 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.
2,162 reactions across 45 posts, in 12 distinct kinds. The most used accounts for 18.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 397 | 18.4% | |
| ❤ | 375 | 17.3% | |
| 😁 | 203 | 9.39% | |
| 🔥 | 202 | 9.34% | |
| 👏 | 200 | 9.25% | |
| 👌 | 147 | 6.80% | |
| 😍 | 147 | 6.80% | |
| 💯 | 146 | 6.75% | |
| 🤩 | 145 | 6.71% | |
| 🤔 | 131 | 6.06% | |
| 😘 | 68 | 3.15% | |
| 🥰 | 1 | 0.046% |
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 48 of the 51 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 2,162 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 51 most recent posts we hold, published 27 July 2022 to 12 November 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.
Telegram’s own ‘edited’ marker: 0 of 15 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
CDC035 小小言 | 24岁 | 160cm | 42kg | C 📍 成都 高新区 | 天府二街 💰 7P | 12PP 🎯 鸳鸯浴、舌吻、69 #高新区,#南门,#天府二街 电报:@xxyan520 频道:https://t.me/xxyan52 ⭐ 85条评论 | 综合9.3分 ✅ 可预约 📖 查看资料/联系方式/评论
❤1👌1
Signed 呆呆兽v2
CDC022 梦淇 | 26岁 | 162cm | 45kg | C 📍 成都 锦江区 | 锦华万达 💰 5P | 8PP | 18BY 🎯 鸳鸯浴、舌吻、胸推、AB面、69、按摩 #锦江区,#东门,#锦华万达 电报:@mengqi00012 频道:https://t.me/+Lx6zmjSYGro5NTBl ⭐ 9条评论 | 综合7.9分 ✅ 可预约 📖 查看资料/联系方式/评论
Signed 呆呆兽v2
CDC004 梦梦 | 27岁 | 160cm | 45kg | B 📍 成都 高新区 | 石羊立交 💰 5P | 8PP | 18BY 🎯 舌吻、69、按摩、鸳鸯浴 #高新区,#南门,#石羊立交 电报:@Apangfei 频道:https://t.me/pangzhuzhu123 ⭐ 71条评论 | 综合8.6分 ✅ 可预约
❤2
Signed 呆呆兽v2
CDC026 绿箩 | 24岁 | 170cm | 45kg | B 📍 成都 锦江区 | 春熙路 💰 7P | 11PP 🎯 鸳鸯浴、舌吻、69 #锦江区,#市中心,#春熙路 魔芋推荐 电报:@lvluo520 频道:https://t.me/lvluolvluo ⭐ 20条评论 | 综合8.4分 ✅ 可预约 📖 查看资料/联系方式/评论
❤1
Signed 呆呆兽v2
CDC079 苡奈 | 22岁 | 170cm | 50kg | C 📍 成都 成华区 | 理工大学 💰 600P | 1100PP 🎯 69、鸳鸯浴、舌吻、胸推 排骨炮架,丝袜高跟,良家御姐,女友感。全身无科技,无赘肉,胸挺拔,热情主动,落落大方。 #魔芋推荐 TG: @CDyinai 频道: @CDyinai521 ✅ 可预约 📖 查看资料/联系方式/评论
❤3
Signed 呆呆兽v2
CDC074 杨紫 | 27岁 | 162cm | 50kg | E 📍 成都 高新区 | 南城都汇 💰 1000P | 1500PP 🎯 鸳鸯浴、69、舌吻、胸推、毒龙、按摩、AB面 #服务控 #胸控 莞式服务的余晖,态度不错,胸大可乳交,服务有耐性,PP间隔有按摩和推背。 "魔芋推荐” ——不谈性价比系列,吃服务的推荐。 TG: @woaipengyou 频道: @jiajiadequanz ✅ 可预约 📖 查看资料/联系方式/评论
❤4
Signed 呆呆兽v2
CDC011 莫离 | 23岁 | 160cm | 46kg | B 📍 成都 高新区 | 天府二街 💰 6P | 10PP 🎯 鸳鸯浴、舌吻、69 #高新区,#南门,#天府二街 电报:@CDCmoli 频道:https://t.me/cdc_moli ⭐ 57条评论 | 综合9.2分 ✅ 可预约 📖 查看资料/联系方式/评论
❤2
Signed 呆呆兽v2
CDC083 青青 | 24岁 | 165cm | 45kg | C 📍 成都 高新区 | 天府二街 💰 700P | 1200PP 🎯 鸳鸯浴、舌吻、口爆、胸推、按摩、69 00后颜值兼职小御姐,网红颜值,女友感受。平常兼职模特,之前在这一行主要做外围,但是偶尔客串做下老师。虽然是御姐,但是粉奶头,大胸,身材好,有极强的少女感,主打一个高端和颜值、三点粉嫩、湿和紧。服务有特色的耳漫,好听的叫床声,插入后就是女友般的缠绵,另外还有毒龙这种美女一般不会有的项目。制服达人,还能定制专属角色扮演服务,能吹会叫,会喊爸爸。哪个狼友不想日美女呢?这个老师,分分钟让你找回初恋的感觉,老师的价格,外围大圈的体验,包你日了还想日! TG: @shibingtg “魔芋推荐” 频道: https://t.me/qiqidq ⭐ 6条评论 | 综合7.9分 ✅ 可预约 📖 查看资料/联系方式/评论
❤3
Signed 呆呆兽v2
CDC085 宁月 | 24岁 | 173cm | 46kg | B 📍 成都 高新区 | 心岛 💰 1000P | 1600PP 🎯 鸳鸯浴、69、口爆、舌吻、胸推 高颜值老师,女友感,良家感拉满。五官立体好看,全身无赘肉,高挑身材(173模特身材)大长腿,奶子挺又粉,外围大圈果然名不虚传。进门会聊天等打消狼友尴尬,帮脱衣洗澡。边洗边调情,快结束时给你来个水中萧,很容易交代。到了床上就一直大蟒蛇,就像热恋中的女友一样爱抚你,有漫游,口活69等,没有制式化的服务,到处都是深情。69时随着你口老师的强度,老师给你更多的反馈。小穴外褐内粉,滑嫩无比,水多香甜。AA主动女上,抱着你边舌边日。换姿势可以到处摆弄,沙发,飘窗,镜子前,让你体验完全占据高颜值美女的感觉。主打颜值,情绪价值,但是确实物有所值。 魔芋推荐 TG: @chengylr 频道: https://t.me/chengdulye1 ✅ 可预约 📖 查看资料/…
❤4🤩1
Signed 呆呆兽v2
CDC008 mimi | 23岁 | 168cm | 47kg | C 📍 成都 高新区 | 神仙树 💰 9P | 14PP 🎯 鸳鸯浴、舌吻、69 #高新区,#南门,#神仙树 微信:CD-Mimibaby 微信2:mimimi-bb ⭐ 71条评论 | 综合8.9分 ✅ 可预约 📖 查看资料/联系方式/评论
❤2
Signed 呆呆兽v2
CDC029 米娜 | 24岁 | 163cm | 45kg | B 📍 成都 锦江区 | 锦华万达 💰 6P | 9PP 🎯 鸳鸯浴、舌吻、胸推、AB面、69、按摩 #锦江区,#东门,#锦华万达 电报号:@cdcmina 频道:https://t.me/cdmina ⭐ 34条评论 | 综合9.0分 ✅ 可预约 📖 查看资料/联系方式/评论
❤1
Signed 呆呆兽v2
CDC003 叶心仪 | 23岁 | 168cm | 48kg | B 📍 成都 高新区 | 天府二街 💰 9P | 14PP 🎯 鸳鸯浴、舌吻、AB面、69、口爆 #高新区,#南门,#天府二街 电报:@Yexinyi0015 频道:https://t.me/xiayue001 李老八推荐 ✅ 可预约 📖 查看资料/联系方式/评论
❤4😘1
Signed 呆呆兽v2
Showing the 12 most recent of 51 posts we hold for @chengducity. 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.
We recorded 12 posts on @chengducity as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Named by 3 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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“成都藏楼 - 精品榜” (@chengducity), 30,054 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/chengducity.
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.