coser cosplay
-Taste and appreciate its appearance, and imagine its own world.
-Just organize and share, so that the circulating works can reach more people who love them
- If you have any objections, please contact 👇
@V5CSRbot
Created
Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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
35 measurements spanning 62 days, net +18,069. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 15,566–39,055 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
8 Oct 2026, 18:19
36,345
+1,567
4 Oct 2026, 08:37
34,778
+2,480
25 Sept 2026, 21:19
32,298
+2,716
17 Sept 2026, 13:17
29,582
+645
15 Sept 2026, 10:02
28,937
+475
13 Sept 2026, 21:56
28,462
+502
12 Sept 2026, 05:55
27,960
+708
10 Sept 2026, 01:41
27,252
+831
6 Sept 2026, 16:01
26,421
+681
4 Sept 2026, 06:19
25,740
+490
2 Sept 2026, 16:39
25,250
+354
1 Sept 2026, 14:23
24,896
+231
31 Aug 2026, 15:29
24,665
+290
30 Aug 2026, 13:25
24,375
+246
29 Aug 2026, 10:44
24,129
+311
28 Aug 2026, 08:25
23,818
+244
27 Aug 2026, 06:13
23,574
+273
26 Aug 2026, 08:56
23,301
+309
25 Aug 2026, 10:03
22,992
+218
24 Aug 2026, 09:58
22,774
first reading
Engagement
336 posts held, back to 7 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 100 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.33%
avg views ÷ 36,345 subscribers
Avg views / post
484
171 posts measured
Reaction rate
5.18%
reactions ÷ views · ER floor
Posts in window
171
of 336 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 170 of 171 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 October 2026
Posts held
336 (7 August 2026 – 12 October 2026)
Views total
82,749
Reactions total
4,290
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Oct 2026, 22:21 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
≈27,100
Videos
≈4,360
Links
≈127
Lifetime counters from Telegram’s own channel header, read 12 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.
Video runtime
15h 49m
Average length
5m 56s
Measured directly from 160 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
6,819 reactions across 333 posts, in 19 distinct kinds. The most used accounts for 27.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,894
27.8%
❤🔥
1,583
23.2%
⚡
901
13.2%
😍
863
12.7%
🌭
682
10.0%
👏
521
7.64%
💘
182
2.67%
🔥
151
2.21%
🥰
15
0.22%
😁
9
0.132%
🍌
3
0.044%
🎉
3
0.044%
🏆
3
0.044%
🍾
2
0.029%
👌
2
0.029%
💯
2
0.029%
🎅
1
0.015%
🕊
1
0.015%
🤔
1
0.015%
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 335 of the 336 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 6,819 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 336 most recent posts we hold, published 7 August 2026 to 12 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.
#蝉时w - #圣祈[71P-898MB]
#coser #修女 #精选 最新 未流出资源
🕯️ 白纱垂落的一瞬,蝉时w 把「圣祈」的清冷与柔软,一并交给了镜头。
修女服的高领与长袖,本该是最克制的装扮,偏偏在烛光下显得格外挑人——布料的褶皱、腰线的收束、领口的珠饰,每一处都像在等你多看两眼。
妆容走的是洁净路线:淡棕眼影、雾面唇色,眼下一点微红,像刚祈祷完抬头的样子。
场景多用暗光与暖烛,逆光勾出轮廓,近景切到神情,氛围感直接拉满 🕯️✨
最上头的是那种「圣洁外壳 + 眼神不太乖」的反差,71P 一套下来,越翻越舍不得快进。
觉得戳中你的话,点个赞或收藏一下~ 后续还有更多精选等着你 📌
Cosplay More in the comment section
👍8❤🔥5😍4⚡3🌭3👏2💘1🔥1
Showing the 12 most recent of 336 posts we hold for @COSV5_COM. 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
Named by 4 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.
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 8 October 2026 — this
entry's latest reading, not the date you are reading this.
“COSV5|COSER|写真|JVID|及时发布全网流出🚀” (@COSV5_COM), 36,345 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/COSV5_COM.
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.