编号 WN_ #PBY326 精品 13U #欧美女 爆光率低 设计师 办公室照 工作照 车内照 亲子照 室内照 一年四季衣服都有 聚会 居家 生活场景丰富 旅游 风景 生活日常 照片2096张 视频238个 (带IG)__需要请联系客服:@zlqlzc

Channel
欧美🔺女🔻套图素材|欧美套图素材
@sucaitu3
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
469subscribers
+4 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001946723562 |
|---|---|
| Type | Channel |
| Username | @sucaitu3 |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/sucaitu3 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 16:08 | 469 | +5 |
| 8 Aug 2026, 09:08 | 464 | -1 |
| 8 Aug 2026, 04:47 | 465 | no change |
| 8 Aug 2026, 02:53 | 465 | first reading |
Engagement
20 posts held, back to 28 July 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.18%
- avg views ÷ 469 subscribers
- Avg views / post
- 43.0
- 20 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 20 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 1 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 20 (28 July 2026 – 8 August 2026) |
| Views total | 861 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 04:47 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
- 6s
- Average length
- 6s
Measured directly from 1 video 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.
Recent posts
编号 WN_ #VX315 #英国 气质美女 生活场景丰富 自拍多 旅游 美景 时尚会穿搭 美食 性感照 宠物 健身 比基尼 生日照 床上照 闺蜜照 浴袍照 浴室照 3602张照片 711个视频 (带IG)后期可更新__.需要请联系客服:@zlqlzc
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编号 WN_ #VX779 #美国 气质美女 黑人 生活场景丰富 自拍多 旅游 美景 美食 时尚会穿搭 情侣照 比基尼 婚纱照 752张照片 101视频__需要请联系客服:@zlqlzc
编号 WN_ #VX780 #美国 气质美女 生活场景丰富 自拍多 旅游 美景 时尚会穿搭 闺蜜照 DJ女孩 比基尼 性感照 浴室照 1396张照片 642视频__需要请联系客服:@zlqlzc
编号 WN_ #VX781 #美国 气质美女 黑人 生活场景丰富 自拍多 旅游 美景 时尚会穿搭 看演唱会 床上照 比基尼 性感照 曝光度低 粉丝8000 1670张照片 229视频__需要请联系客服:@zlqlzc
编号 WN_ #VX782 #美国 气质美女 黑人 生活场景丰富 自拍多 旅游 美景 时尚会穿搭 性感照 比基尼 浴缸照 907张照片 59视频__需要请联系客服:@zlqlzc
编号 WN_ #VX783 #美国 气质美女 生活场景丰富 自拍多 旅游 美景 时尚会穿搭 性感照 比基尼 床上照 宠物 1226张照片 55视频__需要请联系客服:@zlqlzc
编号 WN_ #VX784 #美国 气质美女 生活场景丰富 自拍多 旅游 美景 时尚会穿搭 性感照 比基尼 786张照片 89视频__需要请联系客服:@zlqlzc
编号 WN_ #VX785 #美国 气质美女 生活场景丰富 自拍多 旅游 美景 美食 时尚会穿搭 性感照 比基尼 闺蜜照 毕业照 内衣照 生日照 1095张照片 785视频__需要请联系客服:@zlqlzc
编号 WN_ #VX786 #美国 气质美女 生活场景丰富 自拍多 旅游 美景 时尚会穿搭 生日照 比基尼 性感照 闺蜜照 曝光度低 粉丝4000 1637张照片 12视频__需要请联系客服:@zlqlzc
编号 WN_ #VX787 #美国 气质美女 生活场景丰富 自拍多 旅游 美景 美食 时尚会穿搭 性感照 瑜伽 宠物 宝妈 床上照 睡衣照 比基尼 616张照片 5视频__需要请联系客服:@zlqlzc
Showing the 12 most recent of 20 posts we hold for @sucaitu3. 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.
Citation-graph rank
Citation-graph rank — 331,769 of 1,481,217entries 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 5 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“欧美🔺女🔻套图素材|欧美套图素材” (@sucaitu3), 469 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/sucaitu3.
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.