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Channel
🌸反差女神所• 抖音 • 快手 • 推特
@nvshenss
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
28,141subscribers
+24,757 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003416661101 |
|---|---|
| Type | Channel |
| Username | @nvshenss |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 October 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 14 October 2026 |
| On Telegram | t.me/nvshenss |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Oct 2026, 18:26 | 28,141 | +1,562 |
| 13 Oct 2026, 05:56 | 26,579 | +3,096 |
| 8 Oct 2026, 23:57 | 23,483 | +1,982 |
| 4 Oct 2026, 13:55 | 21,501 | +2,951 |
| 26 Sept 2026, 03:57 | 18,550 | +2,490 |
| 19 Sept 2026, 08:01 | 16,060 | +774 |
| 16 Sept 2026, 23:17 | 15,286 | +569 |
| 14 Sept 2026, 23:16 | 14,717 | +591 |
| 13 Sept 2026, 05:38 | 14,126 | +677 |
| 11 Sept 2026, 08:40 | 13,449 | +803 |
| 8 Sept 2026, 16:58 | 12,646 | +1,178 |
| 5 Sept 2026, 08:59 | 11,468 | +672 |
| 3 Sept 2026, 14:39 | 10,796 | +422 |
| 2 Sept 2026, 11:22 | 10,374 | +292 |
| 1 Sept 2026, 13:17 | 10,082 | +606 |
| 29 Aug 2026, 20:33 | 9,476 | +590 |
| 27 Aug 2026, 05:42 | 8,886 | +766 |
| 24 Aug 2026, 15:23 | 8,120 | +1,108 |
| 21 Aug 2026, 04:03 | 7,012 | +919 |
| 17 Aug 2026, 17:46 | 6,093 | first reading |
Engagement
45 posts held, back to 6 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 19 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.42%
- avg views ÷ 28,141 subscribers
- Avg views / post
- 2,090
- 23 posts measured
- Reaction rate
- 0.103%
- reactions ÷ views · ER floor
- Posts in window
- 23
- of 45 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 14 of 23 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 October 2026 |
|---|---|
| Posts held | 45 (6 August 2026 – 14 October 2026) |
| Views total | 47,998 |
| Reactions total | 39 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Oct 2026, 12:49 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
- 2h 32m
- Average length
- 4m 07s
Measured directly from 37 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
46 reactions across 18 posts, in 2 distinct kinds. The most used accounts for 95.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 44 | 95.7% | |
| 👍 | 2 | 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 23 of the 45 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 46 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 6 August 2026 to 14 October 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
😀欢迎来到【反差女神所】官方预览频道 我们坚持每天更新高质量内容,只为服务好每一位喜欢这种感觉的同好者 本频道是预览性质,完整合集和后续更新都在会员群 点击这里加入会员群 往期会员群资源请点击右侧标签查看 😀 #VIP 现在特惠还在,VIP低至9️⃣8️⃣元,想看全的抓紧冲!
❤1
来几个屌大的推荐点露脸好看的X博主 好几天没刷到好看的了
👍2
抖音推特 👑 符文巨乳【7U/奶香婴儿肥】 26年10月11日新作 前几天更新的妹子出新作品了,第一个视频就是预览,完整版大概10分钟左右,群内已更新7U的136部视频,包括10月最新的双人系列,一手福利~ 1部门槛视频已更新至VIP频道 ➕点击加入VIP群组观看 点击下方 #VIP 标签查看往期VIP更新内容 #抖音 #7U #奶香婴儿肥 #VIP
❤7
推特 👑 符文巨乳【蜜豆】 26年10月新作 最近群主非常喜欢这种风格,本次更新的是2026年10月的新资源,不是已经流出的老资源,更新包含露脸车上口爆、露脸后入、户外口爆等,一手福利~ 11部视频已更新至VIP频道 ➕点击加入VIP群组观看 点击下方 #VIP 标签查看往期VIP更新内容 #推特 #蜜豆 #符文 #VIP
❤5
🇸🇾抖音名媛【金恩心】下海约啪金主 完整版放在评论区 #抖音 #金恩心 #反差婊
❤6
😀欢迎来到【反差女神所】官方预览频道 我们坚持每天更新高质量内容,只为服务好每一位喜欢这种感觉的同好者 本频道是预览性质,完整合集和后续更新都在会员群 点击这里加入会员群 往期会员群资源请点击右侧标签查看 😀 #VIP 现在特惠还在,VIP低至9️⃣8️⃣元,想看全的抓紧冲!
抖音 👑 符文巨乳【奶香婴儿肥/7U】 10月新作完整版 这妹子减完肥后感觉整个人颜值有了质的飞跃~笑起来太好看了,完全笑到了群主的心巴里,符文+巨乳这个配置也是绝了~本次更新为26年10月的最新完整版作品,不是那种预览视频拼凑的肉沫福利,独家资源~ 10月最新17部+早期119部视频已更新至VIP频道 ➕点击加入VIP群组观看 点击下方 #VIP 标签查看往期VIP更新内容 #抖音 #奶香婴儿肥 #巨乳 #VIP
❤3
秀人 👑 职业模特【伊丽莎有点白/伊丽莎】 露脸口爆啪啪 26部门槛视频已更新至VIP频道 ➕点击加入VIP群组观看 点击下方 #VIP 标签查看往期VIP更新内容 #秀人 #伊丽莎 #巨乳 #VIP
❤1
抖音 👑 巨乳少妇【蜜蜜桃】 露脸口爆啪啪 好几部都是跟老外的,也是个媚洋母狗 5部门槛视频已更新至VIP频道 ➕点击加入VIP群组观看 点击下方 #VIP 标签查看往期VIP更新内容 #抖音 #蜜蜜桃 #巨乳 #VIP
😀欢迎来到【反差女神所】官方预览频道 我们坚持每天更新高质量内容,只为服务好每一位喜欢这种感觉的同好者 本频道是预览性质,完整合集和后续更新都在会员群 点击这里加入会员群 往期会员群资源请点击右侧标签查看 😀 #VIP 现在特惠还在,VIP低至9️⃣8️⃣元,想看全的抓紧冲!
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_1654090267
Showing the 12 most recent of 45 posts we hold for @nvshenss. 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.
Mentions
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 14 October 2026 — this entry's latest reading, not the date you are reading this.
“🌸反差女神所• 抖音 • 快手 • 推特” (@nvshenss), 28,141 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/nvshenss.
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.