Channel
@chuangtougui99
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,281subscribers
+24 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002907019036 |
|---|---|
| Type | Channel |
| Username | @chuangtougui99 |
| Created | Between 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/chuangtougui99 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 10:35 | 2,281 | +8 |
| 10 Aug 2026, 19:31 | 2,273 | +14 |
| 7 Aug 2026, 12:13 | 2,259 | +2 |
| 6 Aug 2026, 20:32 | 2,257 | first reading |
20 posts held, back to 17 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 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.
| Window | Rolling 30 days · latest post in window 28 July 2026 |
|---|---|
| Posts held | 20 (17 November 2025 – 28 July 2026) |
| Views total | 823 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:44 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.
83 reactions across 15 posts, in 5 distinct kinds. The most used accounts for 53.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 44 | 53.0% | |
| 💩 | 22 | 26.5% | |
| 👍 | 11 | 13.3% | |
| 🖕 | 5 | 6.02% | |
| 😁 | 1 | 1.20% |
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 17 of the 20 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 83reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 17 November 2025 to 28 July 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.
老师名字：大白兔 老师电报号：@putdabaitu 普陀的一位大🐻老师，课室在老小区挺安全的，仅开课使用不自住，楼下有门禁需要联系老师开锁。妹妹今年刚来上海开课几个月，来自成都肤色白白的，人照8分，妆品很好脸上不卡粉，淡妆很有味道，身高167左右挺高的，引以为傲的就是两个天然大🐻了，进门简单沟通后就开始洗澡了，有yyy，洗澡的时候摸着老师的两个大白兔嘎嘎得劲儿，洗后帮擦，到了床上后展示口技开始A面服务，简单服务后开始女上，这次因为身体原因没👅老师下面，不过下面毛发比较茂盛欲望也不大，女上起手跟老师活动了一下，随后转入传教士，看着老师晃悠悠的大白兔忍不住🐍吻起来，随着频率加快，我把手指也伸进老师嘴里，最后在老师一声声娇喘下出货，事后跟老师一起抽了根烟聊了会天，匈奴们跟喜欢御姐的可以冲，服务略简单，非纯服务系。
❤5
老师名字：小水 老师电报号：@xiaosui06 工作室在浦东一个大小区，门卫可以直接进到了按门铃，工作室环境也不错，老师是来自成都的一个小妹妹，很健谈，爱打麻将有共同语言，进门跟小水抽根烟聊了一会，然后就去yyy，浴室略有点小，洗好后直接到卧室去，小水也是一个大蟒蛇，上来直接亲到你喘不过气，直接亲了个够，口技很好，吃弟弟的时候很温柔全方位都照顾到了，各种姿势也很配合，在123的小小蠕动下老师也很配合的喊起了爸爸，最后在后入中出货。结束后跟老师一起交流了会麻将喝酒，最后心满意足的离开。
老师名字：法拉利 老师电报号：@lafa9909 老牌老师，经常在上海杭州北京开课，一位重庆妹子，人照8分吧，短开的工作室装备也齐全，各种情趣内衣都有，会根据你喜好选择不同的，yyy水中萧都有，可以无限大蟒蛇，服务系老师，床上很配合，换各种姿势都很配合，做起来会很陶醉，做的时候手指可以塞老师嘴里，下面可食性高无异味，有一点小毛发，最引人注意的就是E奶，实际看起来很挺拔，但手感一般有底坐，整体服务下来可以给到一个人上人，比夯稍微差一点，喜欢服务系不在意胸底座的可以冲。
更新补充 （新）虹口金象大厦 高风险（可能是被举报了） （新）康健路77弄 高风险（出小区了被警察叫住，然后被按头了） 徐汇老小区的门禁监控多，记得随身带个口罩😷
❤1
新发现一个比较好用的软件 兼容telegram各种功能 集成ai功能提高使用效率 可以解决消息不提醒的问题 需要使用国外app下载
🖕3❤2
TG账户限制解除方案：（不敢保证能达到100%，但是实用！亲测） 进机器人 （@SpamBot）， 先检查看是不是有时间限制，要是有时间限制的就等他解除，看不懂的用翻译。 在没显示时间限制的情况下会出现：（禁止在公开群说话的） ’m very sorry that you had to contact me. Unfortunately, some actions can trigger a harsh response from our anti-spam systems. If you think your account was limited by mistake, you can submit a complaint to our moderators. While the account is limited, you will not be able to send messages to people who…
❤3💩2
老师名字： 肘子 老师电报号： @lx1122330 清纯小美女一枚，来自四川的白皮美少女，身材嘎嘎顶级，脚上还做了亮红片的美甲，直接爱了。进门肘子给送来冰镇的水还有洗好的樱桃儿，直接爽歪歪。课室地方很大，干净整洁，新装修的小区挺安全的。yyy会帮你好好擦洗，有点初恋的感觉，到了床上娇羞的肘子突然变身大蟒蛇，只要亲就给个狗，舌头疯狂旋转，口的时候很仔细，轻轻抚摸二弟，用舌头慢慢去亲吻，肘子也是人工白虎，舔感无敌反馈十足，肘子身体会一点点蠕动，胸满挺拔的手感不错没有科技，做的时候也很配合，叫声很小非常有良家的感觉，现在没有沾染老师那种虚假配合的风气，给你表现出来的全部都是真实反馈，非常推荐。
❤4👍4💩3
‼️ #风险地区 ‼️等级（截至2026.06.29 更新） 高风险（被查抄过） 中风险（老师聚集地） 低风险（老师不多） 静安： 圣和圣 高风险 同济佳苑 高风险 中心铂庭 中风险（部分房间门口有摄像头） 一天下大厦 高风险（聚集地） 长安大厦 高风险 众昌金城大厦 高风险 （QQ微信 聚集地，狼友反馈被敲过门，20250711被扫） 绿地海悦公寓 高风险（挨着金城） 黄山锦庭 中高风险（有叔叔敲门） 世纪时空大厦 高风险 （聚集地） 宝风大厦 高风险 （聚集地） 中兴财富 高风险 （狼友被按） 句容小区 高风险 （老师被戴银镯子押走，看到下一个狼友大喊：还有一个！） 和源大楼 高风险（聚集地） 嘉发大厦 高风险（聚集地） 博邻行政公寓 高风险（老师第一课就被查房了） 闵行： 君莲闵都雅苑 高风险 七宝万科国际 高风险 万源新城 中风险 九星家园 高风险（出过命案） 龙柏四村 低风险 龙柏二村 低风险 七韵美地苑 低风…
❤7👍4🖕1
老师名字：陈可可 老师电报号： @chenkeke88 硬件： 颜值 4.0（颜值还可以，化妆还行） 妆品 4.0（妆品正常，没有卡粉） 皮肤 3.5（肤色偏黄，胳膊有一点小纹身） 胸 3.75（C+，腺体胸不够柔软，但挺拔圆润胸型好看，手感不错） 腰 3.5（腰还可以，扶着感觉不错） 臀 4.0（无赘肉，抓起来手感正好） 腿 3.75（腿上无伤疤，正常腿形） 足 4.0（干净小脚） 逼 4.0（上面毛发旺盛，下面干净，内粉，正常户型） 软件： 陪浴4.0（口中萧很卖力，从上舔到下） 亲嘴4.5（大蟒蛇，舌吻管够，要吸干你那种） 口活4.5（口活不错，有劲儿，暴风吸入） 舔逼4.25（可食性高，反馈足，舔起来无异味，内部粉） 其它服务（可与闺蜜西西双飞） 屌感 4.0（下面很润，进去热乎乎的，包裹性强） 爱爱 4.5（配合度拉满，情绪共频，会说骚话，女上摇的不错，易高潮，爽了会主动抓你胸） 情绪价值4.25（会聊天不冷场，服…
💩3❤1
老师名字： 淼淼 老师电报号：@miao666000 妹子属性：肉肉本帮菜 总结：人照一致，胸大软，服务好听话，水多，舌吻管够。 体型胖有肚子，浴室小无陪浴，课室环境一般。 喜欢肉肉的女生可以直接去，对身材有要求的跳过。
💩4👍2❤1
老师名字： 冰冰 老师电报号：@bing_k 妹子属性：甜美少妇型 推荐程度：推荐 总结：小少妇类型，颜值身材都很过关，人照没差别，天然大胸，腰上没赘肉，良家少妇的感觉没有风尘气息，舌头很灵活，做起来很享受，下面无异味舔起来反馈很足，老师服务态度也很好，下面水多，几下就感觉到滑溜溜了，事后一起躺床上抽烟聊天，性价比拉满，趁人少赶紧冲。
💩5❤1
外网账号/会员购买地址： https://test.51myfk.cc （个人推荐非商业）
Showing the 12 most recent of 20 posts we hold for @chuangtougui99. 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 — 745,144 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.
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 7 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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“床头柜先生的日常” (@chuangtougui99), 2,281 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/chuangtougui99.
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.