#朵朵 福利姬作品尺度大胆,拍摄清晰,嫩妹面容搭配高潮表情进一步提升质量,仅收录露脸部分,其余不露脸视频与图包置于最底。
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Channel
@rewudingzh24
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
50,758subscribers
+20,828 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003709309718 |
|---|---|
| Type | Channel |
| Username | @rewudingzh24 |
| Description | 资源搜索群👇👇👇 👉https://t.me/+SmbfGtYNOZs5NTU9 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 October 2026 |
| Measurements held | 52 |
| Confirmed unchanged | 1 time, most recently 27 October 2026 |
| On Telegram | t.me/rewudingzh24 |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Oct 2026, 13:11 | 50,758 | +295 |
| 26 Oct 2026, 13:46 | 50,463 | +287 |
| 25 Oct 2026, 14:44 | 50,176 | +219 |
| 24 Oct 2026, 16:20 | 49,957 | +276 |
| 23 Oct 2026, 15:31 | 49,681 | +232 |
| 22 Oct 2026, 16:41 | 49,449 | +246 |
| 21 Oct 2026, 12:44 | 49,203 | +229 |
| 20 Oct 2026, 09:00 | 48,974 | +215 |
| 19 Oct 2026, 08:06 | 48,759 | +224 |
| 18 Oct 2026, 07:27 | 48,535 | +183 |
| 17 Oct 2026, 09:30 | 48,352 | +181 |
| 16 Oct 2026, 11:06 | 48,171 | +183 |
| 15 Oct 2026, 13:56 | 47,988 | +210 |
| 14 Oct 2026, 15:16 | 47,778 | +309 |
| 13 Oct 2026, 08:19 | 47,469 | +900 |
| 9 Oct 2026, 04:00 | 46,569 | +1,502 |
| 4 Oct 2026, 14:56 | 45,067 | +2,131 |
| 26 Sept 2026, 12:37 | 42,936 | +1,869 |
| 19 Sept 2026, 11:42 | 41,067 | +651 |
| 16 Sept 2026, 20:58 | 40,416 | first reading |
721 posts held, back to 4 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 174 pages of 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 176 of 257 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 October 2026 |
|---|---|
| Posts held | 721 (4 August 2026 – 27 October 2026) |
| Views total | 703,328 |
| Reactions total | 289 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Oct 2026, 06:05 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.
Lifetime counters from Telegram’s own channel header, read 28 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
511 reactions across 304 posts, in 9 distinct kinds. The most used accounts for 57.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 292 | 57.1% | |
| 👍 | 202 | 39.5% | |
| 🔥 | 5 | 0.978% | |
| 😁 | 3 | 0.587% | |
| 😈 | 3 | 0.587% | |
| 👏 | 2 | 0.391% | |
| 🤓 | 2 | 0.391% | |
| 👎 | 1 | 0.196% | |
| 🦄 | 1 | 0.196% |
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 388 of the 721 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 511 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 721 most recent posts we hold, published 4 August 2026 to 27 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.
#朵朵 福利姬作品尺度大胆,拍摄清晰,嫩妹面容搭配高潮表情进一步提升质量,仅收录露脸部分,其余不露脸视频与图包置于最底。
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#卯哥 #卯卯 推特知名网黄因全裸采访视频出圈,缺乏正式作品,颜值可甜可盐。
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#你的kk 类似月亮鱼风格的高知名度合集,不完全露脸,已整理最全版本。
#一只白咩咩 胸围突出搭配反差脸与眼镜属性的擦边主播,骚舞尚可,但画质与特效问题明显。
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#勾引老头保安 别人用剧本,这位是真实表演,题材新颖且真实,外貌不错,主要当乐子看。
#juu #rlwndud 这个人身材和颜值真的很顶,边缘尺度把握得刚刚好,那身材曲线确实舒展。高颜值加巨乳,吸引力很强,感觉自己口味越来越重了。
#淫行僧 #voyeur #Pcolle 一系列以地铁偷拍为主题的脚本化片段,主角被发现后反而转为主动勾引的设定,还有厕所场景的零星内容。整体情节设计得有一定趣味,不少女主外形清新,日常衣着增添生活质感,真实业余氛围特别突出。
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#盐汽喵 呼声高的女菩萨,整合收费网站资源,美女长相傲人胸围,尺度小纯擦边。
#小仙云 推特顶级卡点变装舞姬早期视频发现。
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#狗头萝莉 早期在短视频平台发布的丰满身材网红,通过边缘尺度内容分享的福利片段合辑。
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#jennypinky #孙禾颐 专业演员背景的劳模女菩萨,尺度身材颜值演技顶级,粉丝众多,本集合更新至五月最新资源。
#pans #禾禾 pans系列里颜值第一梯队,偏网红森系风格,尺度已全部呈现,可当作艺术片欣赏。
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Showing the 12 most recent of 721 posts we hold for @rewudingzh24. 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.
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 27 October 2026 — this entry's latest reading, not the date you are reading this.
“网红资源福利社” (@rewudingzh24), 50,758 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/rewudingzh24.
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.