🙂🙂🙂🙂🙂 8️⃣🈷️1️⃣1️⃣在线老师⬇️⬇️⬇️ 公告⬇️⬇️开课地址武侯区双子塔附近! (老号被挤下号了认准新客服号: @WD9852 ) 新人团团~学生妹 暑假兼职 https://t.me/nn3911/1715 ❗️❗️ 极品思思~一直口 口不停 https://t.me/nn3911/1173 新人桃桃 颜值巅峰 骚货小母狗 可多P https://t.me/nn93961/24313 新人静静 水多 爸爸叫不停 敏感发抖 偶尔喷水 https://t.me/nn3911/1808 ❗️❗️ 新人极品安安 天然白🐯 冷白皮 https://t.me/nn3911/1374 王牌心语 甜美 大长腿 女友感 排骨 https://t.me/nn3911/1802 小墨 温柔 白 水多🉑拍不露脸视频 https://t.me/nn3911/1308 小甜心包子B一线天🉑…

Channel
文东💰极品嫩妹御姐~工作室
@nn3911
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
8,277subscribers
+1,064 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003732272449 |
|---|---|
| Type | Channel |
| Username | @nn3911 |
| Created | Between 1 February 2026 and 30 June 2026— 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/nn3911 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 01:35 | 8,277 | +1,081 |
| 10 Aug 2026, 03:31 | 7,196 | -12 |
| 7 Aug 2026, 03:30 | 7,208 | -5 |
| 6 Aug 2026, 20:16 | 7,213 | first reading |
Engagement
48 posts held, back to 5 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 12 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.44%
- avg views ÷ 8,277 subscribers
- Avg views / post
- 782
- 45 posts measured
- Reaction rate
- 0.152%
- reactions ÷ views · ER floor
- Posts in window
- 48
- of 48 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 18 of 45 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 48 (5 August 2026 – 12 August 2026) |
| Views total | 35,172 |
| Reactions total | 23 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 02:18 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
- 3m 18s
- Average length
- 12s
Measured directly from 16 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
23 reactions across 17 posts, in 3 distinct kinds. The most used accounts for 91.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 21 | 91.3% | |
| 👎 | 1 | 4.35% | |
| 😁 | 1 | 4.35% |
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 18 of the 48 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 23reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 5 August 2026 to 12 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
心语3.00头课 静静4.00头课 团团2.00头课 桃桃3.30头课 安安3.00头课 小甜心3.00头课 思思2.00头课 预约请留言明天一一回复 约课联系客服: @WD9852
新人静静~极品嫩妹敏感车 年龄18 身高 160 体重 95 🐻 B 服务:鸳鸯浴 浅🐍(🈶口气除外) 无套口 激情爱爱 制服丝袜可自带 妹妹成都首开 ,大大的眼睛 S形的身材 无奈生活所迫 找到我能不能挣快钱 想快速上岸 ~ 妹妹尼很健谈 不冷场 热情 ,妹妹平时就像你的知心女友一样 ,床上那就是欲女淫娃 ,后入天生的炮架子 声音好听 坤感非常不错 👌 老辈子些下手温柔点哈~ P700(50分钟) pp1200(90分钟)pp做一次不退 🈲 :无套 喝酒 吃药💊 桩机 大鸡鸡 拔套 (AA超过20分钟手打)🙏
心语~ 嫩妹车颜值车 年龄07,身高172,体重 80 服务:无套口,亲咪咪,大蟒🐍 ,69 调情,激情爱爱 丝袜制服高跟👠通通到位。可自带 嫩妹车初次下海,排骨精,初恋的感觉,女友感强烈皮肤白净.性格开朗,为人落落大方,看似端庄切床上小母狗巴适得板,三点正常肤色毛量正常,紧得批爆日两哈就全是白浆。 🈲:无T 拔T 嗑药 喝酒 SM 低素质 7P(50分钟)13PP(90分钟) 默认P,PP提前说,PP做一次不退。感谢🙏
❤1
王牌心语明日回归
小甜心反馈
✅出击狼友:Russell ✅出击日期: 8.11 ✅老师花名: 安安 ✅老师车牌: @WD9852 ✅老师位置: 誉峰 ✅授课费用: 7 ✅老师硬件: 修长 身材好 ✅人照几分: 8.5 ✅老师优缺点:白 嫩 粉 缺点无 ✅出击过程: 妹子刚见面就感觉很白很嫩,问了年龄果然很小,看起来确实有种高中班花的感觉。由于下暴雨妹子晚了一会才到,但看到第一眼感觉等待还是值得的,看妹子头发都湿了就提出先共浴,看见妹子脱衣服后身材也很不错,乳头很大,下面看着干干净净的确实是白虎,妹子洗的也很认真,洗漱后进入服务也是比较认真的,下面非常粉,怪不得看之前报告那么多人喜欢炫的。整体来说嫩妹但也有情绪价值,会聊天,值得推荐 ✅推荐指数:4.5(满分5颗星)
❤1
Video, posted without a caption
小甜心反馈
安安反馈,白🐯
😁1
🙂🙂🙂🙂🙂 8️⃣🈷️1️⃣0️⃣在线老师⬇️⬇️⬇️ 公告⬇️⬇️开课地址武侯区双子塔附近! 新人团团~学生妹 暑假兼职 https://t.me/nn3911/1715 ❗️❗️ 极品思思~一直口 口不停 https://t.me/nn3911/1173 ❗️❗️ 新人桃桃 颜值巅峰 骚货小母狗 可多P https://t.me/nn93961/24313 ❗️❗️ 新人静静 水多 爸爸叫不停 敏感发抖 偶尔喷水 https://t.me/nn3911/1599 ❗️❗️ 新人木木 颜值车 大长腿 骚 https://t.me/nn3911/1744 ❗️❗️ 小墨 温柔 白 水多 https://t.me/nn3911/1308 ❗️❗️ 😟😟😟😟➡️ @NM98998 选妃频道:https://t.me/nn3911 备用(报告)频道: https://t.me/wndijjg 聊…
❤2
拉闸 拉闸 下班下班
Showing the 12 most recent of 48 posts we hold for @nn3911. 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.
Posts edited after publishing
@nn3911 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 10 August 2026
- Most recent edit
- 10 August 2026
Citation-graph rank
Citation-graph rank — 198,157 of 1,345,403entries 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.
Mentions
Named by 9 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.
@xiaobaicaichuji123 · 14,1046 posts幸运抽奖导航
@LotteryNavChannel888 · 29,9204 posts成都学院已验证老师精选车库
@chengduxueyuanchekus3 · 49,5902 postsDoctor的诊断记录
@Doctor9527CJRebirth · 24,6452 postsLotteryBest精选推荐
@lotterybestnav · 133,4012 posts成都91修车学院已验车库
@CD91InstituteXCK · 31,4411 post成都女团已验证成员
@CDnvtuancy · 50,3161 postLotteryBest抽奖导航
@lotterynav · 161,2571 post允茉的家
@yunmodewo · 4871 post
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 August 2026 — this entry's latest reading, not the date you are reading this.
“文东💰极品嫩妹御姐~工作室” (@nn3911), 8,277 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/nn3911.
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.