开课啦

Channel
知微的花园
@zhiwei2099
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
122subscribers
+44 since we began measuring on 28 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004292577613 |
|---|---|
| Type | Channel |
| Username | @zhiwei2099 |
| Created | Between 1 May 2026 and 20 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 28 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 13 September 2026 |
| On Telegram | t.me/zhiwei2099 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Sept 2026, 05:02 | 122 | +19 |
| 6 Sept 2026, 05:56 | 103 | +21 |
| 29 Aug 2026, 03:23 | 82 | +4 |
| 28 Aug 2026, 10:00 | 78 | no change |
| 28 Aug 2026, 09:45 | 78 | first reading |
Engagement
17 posts held, back to 20 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 369.4%
- avg views ÷ 122 subscribers
- Avg views / post
- 451
- 16 posts measured
- Reaction rate
- 0.408%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 17 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 3 of 16 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 17 (20 August 2026 – 28 August 2026) |
| Views total | 7,211 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 10:00 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
- Video runtime
- 25s
- Average length
- 13s
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.
Reaction mix
8 reactions across 3 posts, in 4 distinct kinds. The most used accounts for 62.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 62.5% | |
| 👍 | 1 | 12.5% | |
| 🔥 | 1 | 12.5% | |
| 🤩 | 1 | 12.5% |
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 3 of the 17 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 20 August 2026 to 28 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.
Recent posts
开课啦 滴 滴
Video, posted without a caption
哥哥们,宝宝想吃火腿肠。
下班了宝贝们,可约明天哦。
不管什么职业,能被认可都是一种成就感,感谢哥哥们的支持。
【洛阳牡丹仙子群出击报告】 @luoyang_369 【必填项,人照对版几成?】:8 【验证留名】: 银桑 【验证时间】:8/23 【老师艺名】: #知微 【联系方式】: @zhiwei9420 【所在位置】:涧西 【安 全 性】:8 【上课价费】:5 【老师年龄】:30左右 【身高体重】:身高一米六几,体重不到100 【胖瘦赘肉】:没有赘肉 【凶器罩杯】:B 【服务内容】:ab面,毒龙,口活,水中萧,爱爱 【老师类型】: 少妇 【服务类型】:全自动 【服务态度】:帝王般 【优点缺点】: 缺点:没有缺点 优点:服务态度专业,人很有异域风情,像新疆人,身材好,每一个项目都很专业,哪怕是95店技师都很少有这么专业的水平 补充描述:没有 (你对老师的建议有什么地方需要改善的!) 【服务过程】:进门脱衣洗澡,老师给我洗的干干净净的然后水中萧,到床上甚至给我擦脚,老师先做b面,全身鼻息舌漫后水漫,b面老师做的特别好…
开课啦
❤2
【洛阳牡丹仙子群出击报告】 【必填项,九成】: 【验证留名】: 匿名 【验证时间】:8月22日 【老师艺名】: #知微 【联系方式】: @zhiwei9420 【所在位置】:西工区 【安 全 性】:很安全 【上课价费】:500 【老师年龄】:28 【身高体重】:162/90 【胖瘦赘肉】:苗条 【凶器罩杯】:B 【服务内容】:课表上全有 【老师类型】: 御姐,少妇,熟女 【服务类型】:全自动 【服务态度】:帝王般 【优点缺点】: 缺点:没可乐😂 优点:太多了,不一一描述 补充描述:体力有待提高,希望女上持久一点 (你对老师的建议有什么地方需要改善的!) 【服务过程】: 来洛阳出差,品品洛阳的牡丹花,不经意看到名花知微刚刚开放,心动不如行动立马CJ。小区停车方便,房间位置好找,顺利导航上楼。一进门印入眼帘的是一位身材娇小可爱,面容柔美动人的四川姑娘,身穿一件镂空晚礼服,把优美的身材凸显的淋漓尽致,老师热情的递上…
【洛阳牡丹仙子群出击报告】 @luoyang_369 【必填项,人照对版几成?】:10 【验证留名】: 足足 【验证时间】:8月23 【老师艺名】: 知微 【联系方式】: https://t.me/zhiwei9420 【所在位置】:西工 【安 全 性】:10 【上课价费】:抽奖券优惠 【老师年龄】:28左右 【身高体重】:162、95 【胖瘦赘肉】:没有训练痕迹 【凶器罩杯】:B 【服务内容】:助浴、水中箫、全套莞式服务 【老师类型】: 御姐,少妇 【服务类型】:全自动 【服务态度】:帝王般 【优点缺点】: 缺点:实在想不出缺点 优点:服务到位、细致 补充描述:夯爆了 【服务过程】:遥控上楼,进门寒暄几句,查看环境,房间很干净整洁,两边邻居未装修,相当安全。人照完全一致,无美颜无滤镜。脱衣服洗干净,老师自动脱光了进来帮洗,全程无需自己动手。还跪地水中箫。帮擦干净身体,坐床边帮擦脚。服务过程感觉拉满、胸推…
开课啦 宝宝们可约咯
【时间】:2026-08-22 【老师】:知微 【留名】:Shameless 【人照】:10 【颜值】:9 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:9.83 【过程】:抽中了工兵 遥控上楼 环境很好 有助浴水中萧 洗好给擦全身 课表上的服务毒龙 69啥的都有 舌功很好很爽 老师很热情 服务没得挑
Showing the 12 most recent of 17 posts we hold for @zhiwei2099. 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.
Forward network
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.
Mentions
Named by 1 registered channel — 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.
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 13 September 2026 — this entry's latest reading, not the date you are reading this.
“知微的花园” (@zhiwei2099), 122 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/zhiwei2099.
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.