Telegram RegisterThe public register of Telegram

Channel

赛少的成都出击之旅

@yy958239yyyy

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

9,911subscribers

+119 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002426851130
TypeChannel
Username@yy958239yyyy
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/yy958239yyyy

Growth

9,7929,9119,851.57 August 2026 — 9,792 subscribers7 August 2026 — 9,793 subscribers10 August 2026 — 9,838 subscribers13 August 2026 — 9,911 subscribers7 August 202613 August 2026
4 measurements spanning 6 days, net +119. 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 9,774–9,929 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 13:179,911+73
10 Aug 2026, 22:449,838+45
7 Aug 2026, 20:289,793+1
7 Aug 2026, 13:489,792first reading

Engagement

14 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
28.9%
avg views ÷ 9,911 subscribers
Avg views / post
2,860
14 posts measured
Reaction rate
0.137%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 11 of 14 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held14 (1 August 202612 August 2026)
Views total40,060
Reactions total50
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 14:45 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
7s
Average length
7s

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.

Reaction mix

50 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 90.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4590.0%
👏48.00%
👍12.00%

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 11 of the 14 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 50reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 1 August 2026 to 12 August 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

12 Aug 2026, 13:32 UTC173 viewsread 12 August 2026
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Signed LotteryBest Bot

12 Aug 2026, 11:16 UTC364 viewsread 12 August 2026
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Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7910697159

Signed 极搜🔍资源搜索@JISOU

12 Aug 2026, 11:16 UTC313 views1 reactionsread 12 August 2026
Forwarded from @haibo1618Photo

【妹子花名】:玖月 【妹子车牌】:@yeie123 【验证留名】:海波利安 【验证时间】:8.11 【所在位置】: 西门 【修车水费】:6p 【是否代聊】:自聊 【身高身材】:166 /120 【妹子年龄】: 20 【颜值相似】:去掉美颜,中颜耐看 【凶器罩杯】:c+ 【环境卫生】:小区,干净卫生 【服务内容】:大蟒蛇,69,做 【机车行为】:无 【优点缺点】:女友感,微型bbw,嫩妹,自然配合,缺点黄皮,不白 【推荐程度】:9.6/10 【服务详情】: “大只肉感嫩妹,温婉乖巧小女友” 月月作为西北的妹妹,长的乖乖的,耐看,有着大只的身高和丰腴的体态,肤色黄皮,因为嫩模皮肤紧致,有沉甸甸的C+大胸,微八字但挺,奶头微凹陷,有肉感但无小肚子赘肉,一双密大腿肉感十足,属于微型BBW的身材。 一进门因为发生不高兴的事,有点情绪不高,月月像个温柔小女友一样陪着旁边宽心安慰,一个北方妹子难得有一种温柔萌萌的口音,一直笑脸盈盈,不是E

1

Signed 赛罗 (频道专攻大扔子之修养一段时间)

10 Aug 2026, 04:54 UTC≈2,080 views5 reactionsread 12 August 2026
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【妹子花名】:想想 【妹子车牌】:微信 nnxhyao 【验证留名】:苏铭 @su_ming7 【验证时间】:7月末 【所在位置】: 心岛 【修车水费】:6p10pp 【是否代聊】:代聊 【身高身材】:165,88 【妹子年龄】: 22 【颜值相似】:去掉美颜滤镜,有个八九成,反馈说有微科技,但真人保证好看 【凶器罩杯】:b+ 【环境卫生】:公寓性质,干净卫生 【服务内容】:口,大蟒蛇,69,做 【机车行为】:无 【优点缺点】:甜美系长相,乖巧型妹妹,全身白皮光滑,小巧可爱,户型粉嫩。 【推荐程度】:9.5/10 【服务详情】:进门看脸即惊艳,极其好看的一张脸,甜美系,身材细致苗条,胸b左右,全身皮肤白嫩光滑,经过我双手游走全身感觉不到任何粗糙点,性格有点腼腆但爱笑偏温柔,声音糯糯的也好听。大蟒蛇管饱,重点说下户型几乎没毛,唇间相当粉嫩!宛如蝴蝶一般晶莹,我一般不舔下面的,没忍住猛舔,无异味。同时很爱干净的一个女孩,事前事后

5

Signed 赛罗 (频道专攻大扔子之修养一段时间)

8 Aug 2026, 14:44 UTC≈3,050 views10 reactionsread 12 August 2026
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竭尽全力无法战胜——出击圈圈 【妹子花名】:圈圈 【妹子车牌】:@qq886611 【验证留名】:变态绅士 【验证时间】:8.7 【所在位置】: 东郊 【修车水费】:7PP(白菜券-1) 【是否代聊】:自聊 【身高身材】:155/50kg 【妹子年龄】: 25 【颜值相似】:8分,耐看型妆前后差不大 【凶器罩杯】:D杯大凶器 【环境卫生】:自主小区 温馨安全 【服务内容】:课表上的+抓龙筋大招 【机车行为】:像她这样服务特别好的御姐,怎么可能机车? 【优点缺点】:属于那种沉浸感满分的服务型老师。本身D+大车灯硬件拉满,软件方面只能说专业到你甚至觉得自己去的是一条龙服务:SPA+全套+抓龙筋。最关键的是圈圈的性商很高,在整个爱爱的过程里,她会全程把握住所有的节点与情趣阈值,让你沉醉其中,从开始的前戏到正事儿,再到Aftercare,二水;全程都会轻松愉快,而且爽感满满。同时,她会用不同地方式与手法刺激你的敏感点,又用淫靡欲望的

6👏3👍1

Signed 赛罗 (频道专攻大扔子之修养一段时间)

5 Aug 2026, 13:18 UTC≈4,160 views5 reactionsread 12 August 2026
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【妹子花名】:楠楠 【妹子车牌】:@Nannan342 【验证留名】:绝望机长 【验证时间】:8.2 【所在位置】: 孵化园 【修车水费】:900pp 【是否代聊】:自聊 【身高身材】:165/100,前凸后翘 【妹子年龄】: 26左右 【颜值相似】:9分 【凶器罩杯】:c+ 【环境卫生】:酒店公寓,干净整洁 【服务内容】:小🐍 水中萧 69 深🐵 【机车行为】:无 【优点缺点】:优点:是我喜欢的小妈感御姐,亲和健谈,doi配合度高,人工白虎蝴蝶穴。缺点:个人感觉紧度适中,水润有余,刺激不足 【推荐程度】:9分 【服务详情】:遥控上楼,进门就看到老师深色内衣外搭半透短袖(留人小心机),诱人的不行,颜值也和照片无出入,超出我的预料,果断交水费。按照个人惯例先在沙发和老师闲聊一会儿,并上下盘弄,验验老师的货,老师主动解开胸罩让摸,胸部饱满有弹性,rua着很舒服,伴随老师几声娇喘,鸡鸡被坐的邦硬。 洗澡阶段:老师清洗

5

Signed 赛罗 (频道专攻大扔子之修养一段时间)

4 Aug 2026, 07:48 UTC≈4,240 views5 reactionsread 12 August 2026
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#成都 #成华区 #北门 【茉莉】抓龙筋 个人0️⃣0️⃣后抓龙筋天花板❤️❤️成都市可上门欢迎预约哦 #前列腺高潮 #龟责潮喷 #抓龙筋 #丝足 #胸推 📣项目内容:有专业抓龙筋,前列腺按摩,体验前列腺高潮,丝足!胸推!助浴!柔式魅惑!海绵体修复通过穴位!刺激!疏通排jing通道!冠状沟刺激!延长时间!增加硬度!改善X生活质量!等 👉服务很细致!注重服务!效果!细节 🤑如有需要可以询问课表! 👉 正统技艺:源自泰国传统理筋技法,融合古法经络理论 😧针对人群:久坐办公、熬夜加班、腰膝酸软、运动劳损、早泄、X生活不协调等 💕环境保障:小区独立教室、私密性强、无推销、无隐形消费、环境干净舒适,温馨安静,用品均为一次性 核心作用:放松深层肌群、改善循环、缓解疲劳、提升睡眠质量,达到身心全然放松理疗于一体,期待你的体验💗💗 🥘🥘🥘🥘🥘🥘🥘🥘🥘🥘 预约电报📱:@ml3344 预约V信🥰:wvyp

5

Signed 赛罗 (频道专攻大扔子之修养一段时间)

4 Aug 2026, 02:34 UTC≈4,050 views0 reactionsread 12 August 2026
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【妹子花名】:漫妮 【妹子车牌】:@ManNi4566 【验证留名】:苏铭 @su_ming7 【验证时间】:8.1 【所在位置】: 天府五街 【修车水费】:6p10pp 【是否代聊】:自聊 【身高身材】:165,95 【妹子年龄】: 26 【颜值相似】:人照九成 【凶器罩杯】:c 【环境卫生】:居家风格干净整洁带落地镜 【服务内容】:口,大蟒蛇,69,做 【机车行为】:无 【优点缺点】:御姐风十足,口技了得,姿势极多,水多敏感,日感极佳,很会挑逗人。 【推荐程度】:9.9/10 【服务详情】:进门之后一入眼帘便是我最爱的白色大码衬衫穿搭,随后漫妮主动的拥抱亲亲缓解了初见两人的羞涩。在简单的洗浴和挑选战袍后,第一场战斗我毅然选择在了经典沙发位(带大全身镜!),我们激烈的🐍吻,爱抚,漫妮太会挑逗人了,一个眼神一个动作就可让我血脉偾张,这里不得不着重的夸一下漫妮的口活,是那么的让男人痴迷享受,小弟弟硬的跟铁一样忍不住在c位开始表

Signed 赛罗 (频道专攻大扔子之修养一段时间)

3 Aug 2026, 11:50 UTC≈3,860 views1 reactionsread 12 August 2026
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【浦浦一刻】重构完成,破风归来! 本频道是一个优质楼凤资源频道,地域覆盖以成都为主,以杂食风格著称,内容覆盖嫩妹、御姐、少妇等多种类型。更新稳定,质量有保障。 配套的讨论群是老师免入的,保证了一定的自由讨论氛围,不受太多约束。近期还主动从3700人压缩到了1100人,进一步提升了活跃程度。 原频道被恶意攻击举报,已确认恢复无望,所以现在重建啦。 流水的数字,铁打的读者。 关注人数不重要,对内容的认可与陪伴才是我们前行的根本!感谢各位老友的不离不弃,也欢迎新朋友加入。 新老朋友点击这里回家~ https://t.me/cdcpupupupu

1

Signed 赛罗 (频道专攻大扔子之修养一段时间)

3 Aug 2026, 03:12 UTC≈3,870 views7 reactionsread 12 August 2026
Forwarded from @haibo1618Photo

【妹子花名】:南栀 【妹子车牌】:@Nanzhi86 电报没用了,里面有微信与你 【验证留名】:海波利安 【验证时间】:7.31 【所在位置】: 二仙桥 【修车水费】:7p 【是否代聊】:自聊 【身高身材】:165,105 【妹子年龄】: 28 【颜值相似】:比照片好看 【凶器罩杯】:d 【环境卫生】:干净loft 【服务内容】:口,大蟒蛇,69,做 【机车行为】:无 【优点缺点】:软硬俱佳,敏感,胸大臀大,颜值耐看,少妇感强,缺点吃嫩妹的别来 【推荐程度】:9.3/10 【服务详情】:“良家感十足,高敏感温柔少妇”。很久发微信了,一直没回复,这两天突然发消息就排了一课。其实我之前并不知道南栀长什么样,进门一见,是一位丰腴美艳少妇,大只165,一身睡裙,帮我拿水,温柔浅笑,一种大姐姐的成熟美韵,刚开始两人还有点害羞,坐下抱着她丰韵身躯,比较丰满,腹部坐下略微有点赘肉,饱满的酥胸至少有C+到D,乳头颗粒突出,但又小巧好玩

7

Signed 赛罗 (频道专攻大扔子之修养一段时间)

2 Aug 2026, 23:15 UTC≈3,840 views7 reactionsread 12 August 2026
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【妹子花名】:#团团 【妹子车牌】:@tuanzi12 【验证留名】:ChevalierNian 【验证时间】:8.1 【所在位置】: 公元汇 【修车水费】:400P 800pp 【是否代聊】:是 【身高身材】:162 【妹子年龄】: 19 【颜值相似】:9 【凶器罩杯】:有个B我感觉 【环境卫生】:公寓 【服务内容】:口,舌吻,做,舔P 【机车行为】:无 【优点缺点】:嫩是真嫩啊,下面很紧,胸也不小,缺点口活不行,经验太少 【推荐程度】:8 【服务详情】:一进门就看见妹妹,有点小太妹的感觉,没有纹身,但是抽烟。先问年龄19岁,去年破处,经验不算多,交了水费,洗澡,先给我口,妹妹长溃疡了,就没让她口多久,然后到我服务了,舔奈子,粉粉的,奶头不大,舔起来还挺安逸的,再就是舔P,下面毛不多,蝴蝶门,肥批一个,舔起来真爽啊!带套开干,妹妹还是很听话的各种姿势都配合,下面很紧,夹的我还挺舒服的,做了有20多分钟,妹妹实在受不了了,太

7

Signed 赛罗 (频道专攻大扔子之修养一段时间)

2 Aug 2026, 08:23 UTC≈2,970 viewsread 8 August 2026

《赛少的cj之旅》 本频道合作赞助商汇总 🔥 九鼎外围 @chengduwwc 🔥 恋屿私影mmk @z19959265 🔥 甜心娃娃 @TXSNXQTYG 🔥 成都会所半套.全套 @aofeng567 🔥 成都茉莉抓龙筋 @ml3344 🔥 百花半套 @zr308981571 🔥 少女拯救计划全国包养 @PinKun_sn1

Signed 赛罗 (频道专攻大扔子之修养一段时间)

Showing the 12 most recent of 14 posts we hold for @yy958239yyyy. 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 — 302,836 of 1,478,351entries 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.

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 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.

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

“赛少的成都出击之旅” (@yy958239yyyy), 9,911 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/yy958239yyyy.

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.