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Channel
网红福利资源
@shunv3l8
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
66,436subscribers
+17,004 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003605360085 |
|---|---|
| Type | Channel |
| Username | @shunv3l8 |
| Created | Between 1 December 2025 and 31 May 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 | 50 |
| Confirmed unchanged | 1 time, most recently 27 October 2026 |
| On Telegram | t.me/shunv3l8 |
Topic
Other / unclassifiable — 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 52% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Oct 2026, 14:40 | 66,436 | +226 |
| 26 Oct 2026, 11:36 | 66,210 | +203 |
| 25 Oct 2026, 13:06 | 66,007 | +245 |
| 24 Oct 2026, 10:36 | 65,762 | +209 |
| 23 Oct 2026, 12:56 | 65,553 | +236 |
| 22 Oct 2026, 16:16 | 65,317 | +217 |
| 21 Oct 2026, 14:06 | 65,100 | +199 |
| 20 Oct 2026, 07:56 | 64,901 | +199 |
| 19 Oct 2026, 08:31 | 64,702 | +205 |
| 18 Oct 2026, 07:16 | 64,497 | +156 |
| 17 Oct 2026, 10:36 | 64,341 | +192 |
| 16 Oct 2026, 13:06 | 64,149 | +195 |
| 15 Oct 2026, 13:51 | 63,954 | +148 |
| 14 Oct 2026, 13:10 | 63,806 | +202 |
| 12 Oct 2026, 22:55 | 63,604 | +674 |
| 8 Oct 2026, 13:01 | 62,930 | +400 |
| 4 Oct 2026, 02:38 | 62,530 | +35 |
| 25 Sept 2026, 07:36 | 62,495 | +1,592 |
| 18 Sept 2026, 20:15 | 60,903 | +717 |
| 16 Sept 2026, 10:18 | 60,186 | first reading |
Engagement
756 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 226 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.84%
- avg views ÷ 66,436 subscribers
- Avg views / post
- 2,550
- 289 posts measured
- Reaction rate
- 0.076%
- reactions ÷ views · ER floor
- Posts in window
- 289
- of 756 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 192 of 289 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 | 756 (5 August 2026 – 27 October 2026) |
| Views total | 737,047 |
| Reactions total | 374 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Oct 2026, 03:00 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
- Photos
- ≈3,380
- Links
- ≈175
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.
Reaction mix
752 reactions across 363 posts, in 8 distinct kinds. The most used accounts for 57.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 430 | 57.2% | |
| 👍 | 305 | 40.6% | |
| 👏 | 5 | 0.665% | |
| 🔥 | 4 | 0.532% | |
| 😁 | 4 | 0.532% | |
| 👎 | 2 | 0.266% | |
| 💩 | 1 | 0.133% | |
| 🕊 | 1 | 0.133% |
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 455 of the 756 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 752 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 756 most recent posts we hold, published 5 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.
Recent posts
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#又又又又鸭 #puppy_doll_88 #neko酱 可爱风的福利创作者,五官偏甜美。视频制作尚可,缺少高强度内容。仅放出部分露脸福利,其余不露脸视频与图包已压缩,感兴趣可下载查看。
❤1
#有鱼 原虎牙平台主播转战微信直播,以表情舞蹈闻名,知名度颇高,经常露出内衣边缘与乳沟,表情表演十分到位。
#01新人 古典美女神,长腿美胸,跳蛋自慰喷水,自慰粉穴白浆溢出,8月合集!
#aryminh 之前分享过的新增资源,作者作品数量有限可能较冷门,模特颜值高,疑似混血气质,口部表演不错,图片在底部。
#neko酱 推特福利姬清纯露脸美少女童颜极品身材私拍全合集。
👍1
#糖糖老板 抖音骚舞博主的定制视频,瑜伽裤骆驼趾黑丝连体服搭配肉感身躯扭动,视觉冲击力强,值得推荐。
#桃子 快手五十万粉丝热舞网红,多段露脸口交道具叫声,大尺度会议室私播,情趣制服诱惑模拟动作及单独道具视频。
👍1
#pans PANS多位女主私拍花絮大合集。
👍2
#胡逗逗 抖音和微密圈受欢迎的女网红,其独特风格吸引大量粉丝,本次整理了福利视频与微密圈内容。
👍2
#06小妞儿 清纯外表反差明显的年轻女生,高颜值甜美笑容,使用道具自我愉悦,展示黑白双色丝袜下的全裸无毛粉嫩部位。
Showing the 12 most recent of 756 posts we hold for @shunv3l8. 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 27 October 2026 — this entry's latest reading, not the date you are reading this.
“网红福利资源” (@shunv3l8), 66,436 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/shunv3l8.
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.