【时间】:2026-09-09 【老师】:知知 【留名】:OhmyGod(口水太多版) 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:已经多次见面了,依然还是很心动,肤滑貌美,娇喘声音也挺好听的,也蛮喜欢她的香水味道。不事儿也不催,有时候显得古灵精怪,很真实不做作。胸也好rua,b➕的腺体胸,还有好打的大屁屁,真挺想再多去几次。之前第一篇报告写了挺多字这里就不再详细说了,反正去了都知道,值得多刷

Channel
知知的课表
@zhizhikb
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,233subscribers
+1,217 since we began measuring on 7 September 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1004321973388 |
|---|---|
| Type | Channel |
| Username | @zhizhikb |
| Created | Between 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 September 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/zhizhikb |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 00:38 | 1,233 | +993 |
| 10 Sept 2026, 16:22 | 240 | no change |
| 10 Sept 2026, 16:19 | 240 | +224 |
| 7 Sept 2026, 13:47 | 16 | first reading |
Engagement
13 posts held, back to 7 September 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
- 58.5%
- avg views ÷ 1,233 subscribers
- Avg views / post
- 721
- 13 posts measured
- Reaction rate
- 0.281%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 13 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 11 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 September 2026 |
|---|---|
| Posts held | 13 (7 September 2026 – 10 September 2026) |
| Views total | 9,370 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Sept 2026, 16:22 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
- 22s
- Average length
- 11s
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
26 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 76.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 20 | 76.9% | |
| 👍 | 4 | 15.4% | |
| 😁 | 1 | 3.85% | |
| 🥰 | 1 | 3.85% |
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 11 of the 13 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 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 7 September 2026 to 10 September 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
老师:知知 @z_zhizhi 评分:8.8分 评价:老师:知知 @z_zhizhi 评分:8.8分 评价:好看,性感,香喷喷的 好看稍微带点邪气,有时笑起来憨憨的、总让人想起憨人有憨福这句成语。大家都懂,这事儿就是个本能,很难用各种指标数据去衡量,没办法她就是能让老子舒服… 有个小缺点,容易气、看着她生气样子,更想干了!! 点击此处查看详细资料 反馈人:匿名 魔都探花男群:https://t.me/+mhw016G0xDo0ZWI1
【艺名】:知知 【价格】:1400 【位置】:闵行 【联系方式】:@z_zhizhi 【身材样貌】: 甜美脸,人照十分,个人觉得本人比照片更好看,妆容精致,身高163,真胸b+ 【服务过程】:ls 7号才来的上海,还没来得及推广,在妖妖群里看到第一时间就预约了,看照片就觉得是自己喜欢的甜类型,趁着还没成为满姐之前抓紧约上,位置是在闵行郊区不过很好找,但小区应该是动迁房停车很方便。开门映入眼帘的一位笑容甜美的美女,脚上涂了指甲油好评,而且脚脚也很好看。 虽然迟到了十分钟,ls态度也很好,于是赶紧洗完上床贴贴。ls躺在床上任由我亲吻、爱抚她的完美身体,从头到脚都不放过全被我亲了一遍,下体毫无异味,粉粉嫩嗯的,知知很快也进入了状态,随后口交,69,女上,后入一样不差,不过作为腿控最喜欢的还是抗着两条美腿做爱。再次给予好评的是知知的一双精致小脚也是非常诱人,于是边干边舔。最后cjs狠狠冲刺出货。 事后点评,知知算是14p里我去过的的to…
开课🀄️哦
🥰1
哥哥们好,感谢哥哥们的热情。太多哥哥滴滴我了。为了更好的保证为哥哥们服务,每一天我只会5节课左右 需要约课的哥哥,请提前垂询。我会合理的安排好每一位哥哥的时间。再次对哥哥们给予的热情表示感谢。爱你们!😘😘
❤6
因为遇到过套取地址后双向删除聊天记录行为 对我以及后面约课的哥哥们都不放心 所以首次约课的宝宝们都需要定金 这也是一个保障 理解一下啦🥰
https://t.me/shcyxf/76
❤1
https://t.me/thxhyly/14455
❤6
名师汇聚,学生进群审核制。
❤1
(总入口) https://t.me/shmdgmd (主榜单和评价) https://t.me/moduguangmingding2 (镜像榜单) https://t.me/moduguangmingding1
❤1😁1
https://t.me/moduguangmingding2/26586
❤2
名字:知知 来自:四川 年龄:20 身高:163cm 体重:45kg 罩杯:B+ 一次价格:1400p 时长:50分 两次价格:2500pp 时长:90分 电报号: @z_zhizhi 双向机器人号: @zzhi88_bot 老师个人频道: @zhizhikb 禁忌: 桩基 磕药 拔套 粗鲁 口臭 口嗨 鸽子 皮肤病 屌特大 吸毒 醉酒 低素质 标签: 身材好 颜值系 服务系 性价比 娇小 嫩妹 御姐 皮肤白 长发 真胸 学生 水蛇腰 蜜桃臀 玉足 三点粉 水多 熟女 不抽烟 服务: 无套口鸳鸯浴 有套爱爱 胸推 臀推 丝袜诱惑 情趣诱惑 高跟鞋诱惑 调情 接吻 舌吻 深喉 69 陪聊天 舔奶头 舔鲍鱼 ❗️❗️定金约课 p1张/pp2张 (熟课不用)
👍4❤2
Showing the 12 most recent of 13 posts we hold for @zhizhikb. 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 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“知知的课表” (@zhizhikb), 1,233 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/zhizhikb.
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.