Channel
@NN22886
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
744subscribers
+12 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003954388882 |
|---|---|
| Type | Channel |
| Username | @NN22886 |
| Created | Between 1 April 2026 and 2 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/NN22886 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 03:11 | 744 | +12 |
| 9 Aug 2026, 07:31 | 732 | first reading |
20 posts held, back to 2 July 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 pageof 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 3 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 20 (2 July 2026 – 8 August 2026) |
| Views total | 10,725 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 07:31 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.
9 reactions across 5 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 100.0% |
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 6 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 9reactions 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 2 July 2026 to 8 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.
━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ 1 👤 老师：九九 (@NN108933) 🔗 主页：https://t.me/wuhanhua1/15179 ⭐ 综合：★★★★★ 5/5 ├ 🎯 技能：★★★★★ 5/5 ├ 💗 情绪：★★★★★ 5/5 ├ 🏡 环境：★★★★☆ 4/5 └ 📷 人照：★★★★★ 5/5 📝 评价内容： ls热情好客 服务的内容说明上都有 人照一致 出门还给我了个大大的拥抱 5🌟好评 ━━━━━━━━━━━━━━ 🙋 评价人：匿名 🕒 时间：2026-08-08 18:40 ━━━━━━━━━━━━━━ 黄鹤楼群 @wuhanlou 技术聊天 @whlou6 武汉东湖 @whlou 工兵优惠 @whlou7 车评报告 @whlou4 查找老师 @vlchattbot
━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ 1 👤 老师：九九 (@NN108933) 🔗 主页：https://t.me/wuhanhua1/15179 ⭐ 综合：★★★★★ 5/5 ├ 🎯 技能：★★★★★ 5/5 ├ 💗 情绪：★★★★★ 5/5 ├ 🏡 环境：★★★★★ 5/5 └ 📷 人照：★★★★☆ 4/5 📝 评价内容： 老师今天终于休好假我约了个头课 一如既往的好 老师BB实在让我上瘾 又紧又会夹 身体柔软 皮肤白细 服务流畅 课表上的服务每次都有做完 ━━━━━━━━━━━━━━ 🙋 评价人：匿名 🕒 时间：2026-08-06 14:27 ━━━━━━━━━━━━━━ 黄鹤楼群 @wuhanlou 技术聊天 @whlou6 武汉东湖 @whlou 工兵优惠 @whlou7 车评报告 @whlou4 查找老师 @vlch
❤1
满眼都是你的老师可喜欢😍
Photo, posted without a caption
━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ 1 👤 老师：九九 (@NN108933) 🔗 主页：https://t.me/wuhanhua1/15179 ⭐ 综合：★★★★★ 5/5 ├ 🎯 技能：★★★★★ 5/5 ├ 💗 情绪：★★★★★ 5/5 ├ 🏡 环境：★★★★★ 5/5 └ 📷 人照：★★★★★ 5/5 📝 评价内容： 老师服务态度好 气质女神类型太爱了 本来是抱着试试看的态度，没想到这么满意 还会再来👍 ━━━━━━━━━━━━━━ 🙋 评价人：匿名 🕒 时间：2026-07-29 19:10 ━━━━━━━━━━━━━━ 黄鹤楼群 @wuhanlou 技术聊天 @whlou6 武汉东湖 @whlou 工兵优惠 @whlou7 车评报告 @whlou4 查找老师 @vlchattbot
━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷 1 👤 老师：九九 (@NN108933) 🔗 主页：https://t.me/wuhanhua1/15179 ⭐️ 综合：★★★★★ 5/5 ├ 🎯 技能：★★★★★ 5/5 ├ 💗 情绪：★★★★★ 5/5 ├ 🏡 环境：★★★★☆ 4/5 └ 📷 人照：★★★★☆ 4/5 📝 评价内容： 首先说一下服务绝对是顶尖🌟，一进门交完水费💧老师就领我去洗澡🛁。我第一次找老师有点紧张😰，但是老师很温柔🥰，洗的也很仔细✨。洗完后帮我口了一会👅，舌头很软，全程也没有牙齿磕碰🚫🦷。紧接着回到房间开始和老师深入交流🏠，此处省略一万字...📝🤫 ━━━━━━━━━━━━━━ 🙋 评价人：匿名 🕒 时间：2026-07-24 14:48 📌 状态：已通过 ━━━━━━━━━━━━━━ 黄鹤楼群 @wuhanlou 技术聊天 @whlou6 武汉东湖 @…
武汉修车总群报告模版 聊天群 @wuhannn 【验证留名】：匿名 【验证时间】：7月9号 【老师花名】：九九 【所在区域】：洪山区 【老师电报】：@NN108933 【修车水费】：pp900 【人照几成】：8.5 【身高体重】：165左右 【凶器罩杯】：E+ 丰满 【老师类型】： 御姐 女友 【服务类型】：丰富 【服务详情】：闲来无事约了九九老师。 天气还是有点热，到了先冲凉放松，ls洗澡的时候已经进入角色，kj十分了得。转战卧室，换上战袍，继续各种fw。没有多久就被kb拿下。第一次完了以后老师帮我收拾干净躺床上帮我按摩放松，一看就是正规店里进修过的。细节就不提了。第二次推拉弹唱，观音坐莲。。。大家自行体验，服务型ls，全程态度很好。 缺点：无 哈哈 优点:不催钟，服务不打折。 【推荐程度】：5星（3为及格线，4.5及以上就算相当可以的了。打5的慎重） 【温馨提醒】：出击报告具有强烈主观性 聊天群组 …
❤2
聊天群 @wuhannn 【验证留名】：匿名 【验证时间】：7.23 【老师花名】：九九 【所在区域】：洪山 【老师电报】：@NN108933 【修车水费】：900 【人照几成】：900 【身高体重】：168左右 【凶器罩杯】：D（一只手难握哦） 【老师类型】：（御姐、少妇) 【服务类型】：(洗吹做 服务很好） 【服务详情】：姐姐太性感了，进屋后很体贴帮忙脱衣，洗澡的时候也很温柔，时不时弄一下小弟弟还口一口，一下子就硬了。上床后先是很温柔地服务，等不及了带上雨伞就开始做爱，姐姐的小学很紧又特别烫真的很厉害，全程配合说骚话太有感觉了，小弟弟都要爆炸了直接射出来。第二轮开始前先是按摩又是毒🐉和口交小弟弟又硬得不行，疯狂打桩姐姐，姐姐也很配合，最后忍不住射在姐姐嘴里，射完还一直嗦着小弟弟真的爽上天了，体验感拉满。以后有机会一定再来找姐姐，服务齐套。 优点:姐姐真的超级会，全程很贴心温柔。 【推荐程度】：5星 【温馨提醒】：出…
宝子们 今天的天气特别适合上课哦😀
📋 老师评价 老师：九九 @NN108933 主页：https://t.me/wuhanhua1/15179 综合：5/5 ｜ 技能:5 情绪:5 环境:5 人照:5 内容：从进门老师热情，主动，周到。性格活泼开朗。一点都没有陌生感。服务流程 9pp 感觉超值。 时间：2026-07-20 21:11 状态：已通过
【验证留名】可匿名不写 【验证时间】2026年 7月 16日 【老师花名】九九 【联系方式】https://t.me/wuhanhua1/15179 【卫生环境】优 【所在位置】洪山区 【修车水费】1300包2小时 【服务内容】艳舞 口爆 鸳鸯浴 水中萧 【服务过程】进门老师非常热情 立马就拿水和换拖鞋 寒暄几句 进入主题 洗澡 水中萧 擦干水上床 艳舞 口 360度倒立吹 太刺激了 第一次强奸式下课 然后老师来了个回笼萧 爽 第二次 老师开始帮我按摩AB面 过半小时左右 老师又开始她的课表服务流程 真是一样都没有落下 整体服务流畅丝滑 老师性格非常开朗👍老师BB确实像她频繁里面兄弟们描述的一样 BB紧 一吸一夹太刺激了 没坚持多久我又下课了☺️总体 身材 颜值+一系列服包时13张感觉超值 还会回购👍 【优点缺点】优点 超级满意 缺点总感觉时间过的太快 ？ 【所在…
亲爱的宝宝们 这么热的天气 记得来老师家吹空调 茶水管够哈 😘💋
❤3
Showing the 12 most recent of 20 posts we hold for @NN22886. 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 — 1,034,579 of 1,169,250entries 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 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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“九九 个人开课” (@NN22886), 744 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/NN22886.
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.