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Channel

潮喷💦SM👠剧情📸道具

@qyr5455

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

13,495subscribers

+3,586 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002546892594
TypeChannel
Username@qyr5455
Description福利视频 @wtr2425 约课联系 @ranran948 双向联系 @qt6857_bot
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 November 2026
Measurements held30
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/qyr5455

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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

8,43813,50010,9696 August 2026 — 9,909 subscribers7 August 2026 — 9,923 subscribers10 August 2026 — 9,880 subscribers13 August 2026 — 9,762 subscribers16 August 2026 — 9,506 subscribers19 August 2026 — 9,431 subscribers23 August 2026 — 9,313 subscribers25 August 2026 — 9,228 subscribers28 August 2026 — 9,204 subscribers31 August 2026 — 9,188 subscribers3 September 2026 — 9,213 subscribers9 September 2026 — 9,483 subscribers13 September 2026 — 9,278 subscribers17 September 2026 — 9,061 subscribers27 September 2026 — 8,885 subscribers5 October 2026 — 8,650 subscribers12 October 2026 — 9,044 subscribers15 October 2026 — 8,947 subscribers18 October 2026 — 8,888 subscribers21 October 2026 — 8,733 subscribers24 October 2026 — 8,644 subscribers27 October 2026 — 8,588 subscribers31 October 2026 — 8,471 subscribers2 November 2026 — 8,438 subscribers5 November 2026 — 13,490 subscribers7 November 2026 — 13,477 subscribers8 November 2026 — 13,473 subscribers9 November 2026 — 13,472 subscribers10 November 2026 — 13,500 subscribers13 November 2026 — 13,495 subscribers13,4956 August 202613 November 2026
30 measurements spanning 98 days, net +3,586. 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 7,679–14,259 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
13 Nov 2026, 01:3713,495-5
10 Nov 2026, 18:4613,500+28
9 Nov 2026, 07:3513,472-1
8 Nov 2026, 00:3713,473-4
7 Nov 2026, 01:3713,477-13
5 Nov 2026, 22:2613,490+5,052
2 Nov 2026, 19:018,438-33
31 Oct 2026, 01:578,471-117
27 Oct 2026, 17:008,588-56
24 Oct 2026, 17:168,644-89
21 Oct 2026, 21:488,733-155
18 Oct 2026, 09:008,888-59
15 Oct 2026, 03:318,947-97
12 Oct 2026, 04:009,044+394
5 Oct 2026, 15:228,650-235
27 Sept 2026, 12:368,885-176
17 Sept 2026, 23:179,061-217
13 Sept 2026, 08:389,278-205
9 Sept 2026, 05:369,483+270
3 Sept 2026, 22:189,213first reading

Engagement

84 posts held, back to 1 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 63 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.7%
avg views ÷ 13,495 subscribers
Avg views / post
2,520
33 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
34
of 84 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held84 (1 August 2026 – 11 November 2026)
Views total83,097
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 09:09 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
83
Videos
12
Links
24

Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
22s
Average length
11s

Measured directly from 2 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 34 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 18:49 UTC857 viewsread 14 November 2026

宝宝们,最近休息,路过带关注一下,开工了再滴滴,谢谢关注,爱你们哟😘

10 Nov 2026, 17:36 UTC≈1,170 viewsread 14 November 2026
Photo

#南山 #冉冉 【深圳学院】: @sz520 【上课日期】: 11月10日 【上课费用】: #包时 2200 【报告来源】: #摩登 @LY956 【总结概括】 :爱爱反馈真实,通道紧致,水润,不催钟,服务态度好 【体验细节】: 给冉冉一个大大的好评,太宝藏了,都不想发好评怕被别人发现😂😂我约的sm课程,出发前就已经做好踩雷的准备,没想到出乎意料的惊喜,妹妹真人绝对比照片好看,进门睡衣迎接乍一看以为是个乖乖女,但是一旦进入正戏反差感巨强,还会引导我怎么去玩游戏,态度绝对好评,接受度很高,有些地方不是很会妹妹也会引导,让我尝试道具也没有不耐烦,妹妹自己说喜欢dirty talk,对于性有自己的理解和癖好,真的很遗憾现在才发现这么宝藏的女孩,五星好评 【联系老师】: @ranran948 投稿需要提交记录 隐私可打马赛克 萝卜白菜各有所爱 建议多观察对比

10 Nov 2026, 11:45 UTC≈1,160 viewsread 14 November 2026
Photo

#南山 #冉冉 【深圳学院】: @sz520 【上课日期】: 11月10日 【上课费用】: #包时 2200 【报告来源】: #滴滴答答 @WZ98QZ 【总结概括】: 非常完美的一次体验,值得推荐。 【体验细节】: 之前就关注过冉冉老师了,这次赶上有空就见了一下,本来玩sm的对颜值没报多大期望,没想到出乎意料的好,很好看,而且不是装的m,来之前我还想带点工具,结果她都有,放了一大柜子,洗完澡就开始调,先让她像狗一样跪在我面前,吐着小舌头祈求主人的关爱,我拿着狗拍对着屁股就是两下,小狗就摇着小屁股可怜的求饶,配上那小表情简直了,一摸下面居然出水了,调了一会让她叼着我的几把嗦,口的很不错没有齿感,硬了之后带套直接就骑上去,小狗啪着就是舒服,那小可怜样真是加攻速,俩姿势就出货了。贤者时间没有闲着,一直都配合的完成我想要的一切,还没走就已经在脑海里盘算着约她下回了哈哈哈,真的是意犹未尽啊 【联系老师】:@ranran948 投稿需要…

10 Nov 2026, 09:22 UTC≈1,260 viewsread 14 November 2026
Photo

🎉 深圳茶馆-冉冉半价券 🎁 奖品清单 • p半价券(必须写报告) × 1 🛡️ 参与条件 • 加入 深圳茶馆 • 加入 潮喷💦SM👠剧情📸道具 • 加入 深圳茶馆甄选轮播群 • 加入 深圳茶馆榜 • 参加抽奖后需在 深圳茶馆 内发言28次 └ 群内发送“抽奖进度”查看完成度(每日限5次) • 必须设置用户名 🔮 祝福加持 • 祝福消耗:10圣晶石 • 祝福上限:80次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-11-14 22:21:00 📜 抽奖说明 1:刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息等,一律视为无效发言,取消中奖资格!请用心交流! 2:中奖后7天内出击,完成必须写报告!没出报告的拉黑抽奖!写报告:@szcg6bot ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。

9 Nov 2026, 22:16 UTC≈1,220 viewsread 14 November 2026
Photo

#南山 #冉冉 【深圳学院】: @sz520 【上课日期】:11月9日 【上课费用】: #P 900 【报告来源】: #发财 @ysh345 【总结概括】: 漂亮,颜值高,人美声甜 【体验细节】: 临时起意cj冉冉妹子,妹子刚好有空就约了,人照一致,良家感十足,说话也好玩,陪浴很认真,服务非常专业,口活会用舌头搅,365度口活加69,倒挂金钩更是难忍啊。戴套女上,妹子会夹会摇,差点绷不住,赶紧切换传教士,接着再后入侧入,连着换了几个姿势妹子也都十分配合,最后正面配合舌吻,舒爽出货,非常满意的一次cj体验。 【联系老师】: @ranran948 投稿需要提交记录 隐私可打马赛克 萝卜白菜各有所爱 建议多观察对比

9 Nov 2026, 11:52 UTC≈1,260 viewsread 14 November 2026
Photo

#南山 #冉冉 【深圳学院】: @sz520 【上课日期】: 11月9日 【上课费用】: #包时 2200 【报告来源】: #深情男 @XLD980216 【总结概括】: 热情主动,情绪价值拉满,服务十分到位 【体验细节】: 约了冉冉的女王课程,一进屋先看课表内容勾选接受度,然后洗澡,妈妈换了女王皮裙,出来妈妈让跪下,全程辱骂骚狗贱狗傻狗加扇脸,然后妈妈带眼罩骑我遛狗,遛到镜子前看我被骑的狗样子,然后闻妈妈的脚跟高跟鞋,舔脚舔b手乱动摸熊会被鞭子抽弟弟跟蛋蛋,上乳夹有点疼哀求妈妈才给解掉,然后妈妈坐脸给我撸,一水了妈妈继续撸,给妈妈累够呛,然后c了妈妈,第二水c出不来,妈妈照顾我又继续撸,摸胸舔胸才出来二水,非常沉浸代入非常透。 【联系老师】: @ranran948 投稿需要提交记录 隐私可打马赛克 萝卜白菜各有所爱 建议多观察对比

9 Nov 2026, 11:26 UTC≈1,110 viewsread 14 November 2026

换位置了,宝子们,明天发定位给你们,提前预约

9 Nov 2026, 11:24 UTC≈1,220 viewsread 14 November 2026

全深圳半价活动最多,群友最活跃的群!!! https://t.me/szcg9

9 Nov 2026, 07:38 UTC≈1,200 viewsread 14 November 2026
Photo

#南山 #冉冉 【深圳学院】: @sz520 【上课日期】: 11月9日 【上课费用】: #包时 2200 【报告来源】: #鑫 @LXY688 【总结概括】: 十分推荐 【体验细节】: 看到妹子的sm课表,心痒难耐,果断安排时间出击!课室停车方便,好找。推门进去,房间收拾得干净整洁,氛围私密又带点SM的暗黑调调。照片与本人相符,活泼中带骚,皮肤摸上去滑腻细致,魅惑得让人想一口吞掉。简单寒暄沙发坐着,付钱后她温柔带我洗澡,中途直接来水中深喉,口技一流,无齿感,舌头裹着喉咙收缩,吸得我腿软差点站不住。脱光后发现她不光皮肤白,还很光滑,视觉冲击直接把我点燃。洗完客厅直接开调教,我命令她跪下,用皮鞭抽她翘臀,她主动叫“主人…爸爸…再用力点…”,声音又娇又浪,屁股很快就红了。让她坐床上自慰,我用跳蛋和手指挑逗她下面,她一边揉奶一边把假鸡巴往泥泞骚穴里捅,淫水顺腿流,我拿记号笔在她白嫩的皮肤上写满“骚货”“主人的母狗”“欠操”等词,她优雅…

Showing the 12 most recent of 84 posts we hold for @qyr5455. 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.

Posts recorded as deleted after publishing

We recorded 11 posts on @qyr5455 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
34 hours
Seen missing in the last 30 days
6

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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

Named by 24 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.

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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“潮喷💦SM👠剧情📸道具” (@qyr5455), 13,495 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/qyr5455.

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.