❗️❗️抖音巨臀尤物 在在吗 裤里丝自慰定制 肥穴抠出粘腻淫水 仰视欣赏掰逼骚摇 #抖音网红 #尤物 #在在妈 #裤里丝 #自慰

Channel
推特丨福利姬 丨网黄丨调教
@swzktj
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
40,062subscribers
+3,179 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003949812811 |
|---|---|
| Type | Channel |
| Username | @swzktj |
| Created | Between 1 April 2026 and 13 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/swzktj |
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 9 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 |
|---|---|---|
| 26 Sept 2026, 10:37 | 40,062 | +553 |
| 19 Sept 2026, 13:38 | 39,509 | +318 |
| 16 Sept 2026, 23:56 | 39,191 | +385 |
| 15 Sept 2026, 04:40 | 38,806 | +485 |
| 13 Sept 2026, 17:15 | 38,321 | +403 |
| 12 Sept 2026, 00:40 | 37,918 | +102 |
| 9 Sept 2026, 19:36 | 37,816 | +143 |
| 6 Sept 2026, 15:40 | 37,673 | +98 |
| 4 Sept 2026, 04:57 | 37,575 | +62 |
| 2 Sept 2026, 16:05 | 37,513 | +1 |
| 1 Sept 2026, 17:12 | 37,512 | +56 |
| 31 Aug 2026, 16:37 | 37,456 | +49 |
| 30 Aug 2026, 14:43 | 37,407 | +26 |
| 29 Aug 2026, 12:28 | 37,381 | +71 |
| 28 Aug 2026, 09:28 | 37,310 | +107 |
| 27 Aug 2026, 06:54 | 37,203 | +35 |
| 26 Aug 2026, 05:55 | 37,168 | +14 |
| 25 Aug 2026, 05:05 | 37,154 | +3 |
| 24 Aug 2026, 01:24 | 37,151 | -40 |
| 22 Aug 2026, 08:55 | 37,191 | first reading |
Engagement
74 posts held, back to 13 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 65 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.63%
- avg views ÷ 40,062 subscribers
- Avg views / post
- 652
- 50 posts measured
- Reaction rate
- 0.119%
- reactions ÷ views · ER floor
- Posts in window
- 50
- of 74 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 16 of 50 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 23 September 2026 |
|---|---|
| Posts held | 74 (13 August 2026 – 23 September 2026) |
| Views total | 32,580 |
| Reactions total | 17 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Sept 2026, 11:37 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
- 14h 00m
- Average length
- 15m 51s
Measured directly from 53 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
25 reactions across 19 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 25 | 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 25 of the 74 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 25 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 74 most recent posts we hold, published 13 August 2026 to 23 September 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
❗️❗️华中科技大学 徐佩萱 不雅视频 卖力口交服务男友 台湾腔浪叫令人春心萌动! #华中科技大学 #徐佩萱 #口交 #嫩穴
❗️❗️极品御姐福利姬 小恩雅 直播剧情福利 性感骚妈道具自慰诱惑 眼神迷离快感逼近高潮 #极品 #御姐 #福利姬 #小恩雅
❗️❗️巨乳福利姬 Kokuhui玉汇 奶牛装写真 G杯雪乳大到能闷死人 肥臀摇摆挑逗 暴露淫乱本性! #巨乳 #福利姬 #Kokuhui #肥臀
❗️❗️AI成人短剧《母上攻略》1-3集 禁忌母子系列短剧 沉沦少年攻略亲生母上的背德之夜 #Ai短剧 #成人短剧 #母上攻略
❤1
❗️❗️安徽合肥小淑女 林佳颖 和炮友旅行 被压在床上猛插 羞涩握住鸡巴吞吞吐吐! #林佳颖 #约啪 #口交
❤1
❗️❗️抖音御姐网红 依娜 自慰视频 身着开裆丝袜纤手按揉骚穴自慰 哼唧声勾引母狗无疑! #抖音 #御姐 #网红 #自慰 #依娜
🎞 吃瓜 · 曝光 · 真相 https://t.me/hrshibao 🔤 黄果短剧官网(成人Ai) https://t.me/HGDJGW 🔤 包养榜单推荐 https://t.me/guiguaiBaoyang 🔤 电子精英汇 https://t.me/DZJYH
🎬【九头身顶级女大 赵慧媛】 拜金女沦为金主肉便器,口交舔蛋遭无套内射 赵慧媛 拜金女的堕落之路!为钱甘愿沦为富二代专属肉便器,先是用湿热小嘴深喉口交、一流的口交技术从龟头一路舔到蛋蛋,口水拉丝,娇喘低沉诱人至极!被无套后入拉着马尾疯狂猛捅,妹子白嫩的身材撞得肉浪翻滚,浪叫不止!这紧实粉嫩的骚穴被操得爱液泛滥,最后还主动要求内射,哎-在漂亮的女神在金主面前也是卑微得令人心疼啊 点此查看视频
🎞 吃瓜 · 曝光 · 真相 https://t.me/hrshibao 🔤 黄果短剧官网(成人Ai) https://t.me/HGDJGW 🔤 包养榜单推荐 https://t.me/guiguaiBaoyang 🔤 电子精英汇 https://t.me/DZJYH
❗️❗️ST站极品舞蹈校花 Uugirl00 全裸自慰 开腿特写加上油光美乳 湿穴被抠到汁水横流 #ST站 #舞蹈校花 #Uugirl00 #自慰
❤1
❗️❗️ST站精神小妹 juju0616 肥臀巨乳母狗大秀身材 比耶吐舌拍打骚逼自慰 #ST站 #精神小妹 #juju0616 #巨乳 #母狗
Showing the 12 most recent of 74 posts we hold for @swzktj. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“推特丨福利姬 丨网黄丨调教” (@swzktj), 40,062 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/swzktj.
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.