狗剩的奇妙之旅(上海站) pinned a video

Channel
狗剩的奇妙之旅(上海站)
@shklw2026
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
12,648subscribers
+648 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 | -1003854403779 |
|---|---|
| Type | Channel |
| Username | @shklw2026 |
| Created | Between 1 February 2026 and 14 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/shklw2026 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 17:58 | 12,648 | +91 |
| 16 Aug 2026, 15:52 | 12,557 | +86 |
| 15 Aug 2026, 03:07 | 12,471 | +84 |
| 13 Aug 2026, 18:07 | 12,387 | +100 |
| 12 Aug 2026, 15:14 | 12,287 | +67 |
| 11 Aug 2026, 15:48 | 12,220 | +57 |
| 10 Aug 2026, 19:13 | 12,163 | +31 |
| 9 Aug 2026, 20:31 | 12,132 | +40 |
| 8 Aug 2026, 20:38 | 12,092 | +58 |
| 7 Aug 2026, 19:28 | 12,034 | +34 |
| 6 Aug 2026, 22:16 | 12,000 | first reading |
Engagement
14 posts held, back to 14 June 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 19 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 46.3%
- avg views ÷ 12,648 subscribers
- Avg views / post
- 5,860
- 5 posts measured
- Reaction rate
- 0.126%
- reactions ÷ views · ER floor
- Posts in window
- 6
- 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 14 (14 June 2026 – 12 August 2026) |
| Views total | 29,280 |
| Reactions total | 37 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 12:53 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
- 1m 52s
- Average length
- 22s
Measured directly from 5 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
120 reactions across 12 posts, in 7 distinct kinds. The most used accounts for 71.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 86 | 71.7% | |
| 👍 | 12 | 10.0% | |
| 🤮 | 8 | 6.67% | |
| 🤡 | 5 | 4.17% | |
| 🔥 | 4 | 3.33% | |
| 💩 | 3 | 2.50% | |
| 🙈 | 2 | 1.67% |
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 13 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 120reactions 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 14 June 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
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👍1
❤️粥粥 :@zybbzan 约的妹妹上门,很有女感,基本人照一样,爱聊天,不会冷场,喝了点小酒又继续爱爱,体验感拉满,颜值可以,缺点是胸小了点,长相可以弥补缺点,个人打分,可以给到9分。喜欢的可以冲,没问有没有课室,具体问妹妹,刚失恋,需要兄弟们去安抚 总结:有陪浴,小穴紧,可以🐍纹,敏感的别女上,小心123了🙈 妹妹小小一只,很瘦,大概一米6不到,喜欢小鸟依人的可以冲,还有妹妹是夜猫子,一般晚上会出现,白天可能在睡觉
❤8
🤣🤣🤣🤣🤣 硅胶娃娃【成都银梦】 兄弟们我们来成都啦:后续会加快上新成都店铺 感谢兄弟们支持 还是安装我们以往的规定不做一次客 只做回头客 7月30号实拍郫都区红光街道红高东路340号 展示其他头雕的一镜到底 产品很多样 成都群聊 @CDYM0 成都频道 @cdym3 成都双向 @cdym04_bot 成都专属人工 @cdym3 #成都 #成人娃娃 #硅胶体验馆 #新奇体验馆
❤2
❤️老师:云栖 ❤️联系方式:@yunxi64 位置在一个老小区,安全还行,附近很好停车,教室隔地铁500米左右 今天的好评给到云栖 云栖妹妹,属于小萝莉型,有点害羞,不怎么爱讲话,长相和我发的照片一样,基本没区别,身高1米6左右,对我来说刚好,进门的时候,穿着一身白色的水手服,加白色丝袜,很贴心,会主动送水,脱掉衣服胸还不小,刚好一直手可以握下,(B+到c )很挺,乳晕大一点,乳头和小米粒一样,香香甜甜,皮肤很白,肚肚上,有一点点最肉,不影响,(可看视频),服务的话,很有耐心,不会不耐烦,可能看到我不好意思,不怎么爱讲话,但是,不会敷衍,什么姿势都很配合。会主动🐍纹。过程不描述 总结:小萝莉,微微胖,就肚子上有点点赘肉,皮肤白,素颜好看,不会敷衍,紧度还行,可以冲 福利视频👇 😈云栖宝宝
❤11
曝光❗️ 飞机哥,提前让妹妹,换好情趣衣服,一进门,掏出二弟直接开撸,2分钟撸完,直接跑路,太恶心了,建议留意一下这种人,面貌特征,人比较廋,是个卷毛,皮肤黑,看着像大学生
🤮8🤡5❤2
🤩嫩妹收集器 小剩的独家VIP群体,不会踩坑的,都有实测报告 ❤️口嗨UU ❤️ 百变熙熙 ❤️温柔娜娜 ❤️听话云云 ❤️服务66 ❤️乖乖小雯 ❤️萝莉猫咪 ❤️懒羊羊 约以上妹妹,有限时优惠券 快乐屋,输入《兑换》快乐币换限时优惠券,随机掉落积分礼包❗️
❤9💩3
❤️老师 :小雯 ❤️联系方式 @xiaowenboi ❤️茶费:1200 小雯颜值可以,缺点是胸小,可能对喜欢大胸的兄弟们不友好,其他无缺点。 有句话这样讲的,胸大的不好看,好看的胸不大,放在小雯身上最合适不过了,小剩颜控,更喜欢好看的,胸大不大,已经无所谓了,是个人工小白虎,小穴很紧,特别润,虽然有点瘦,但是骨干不强,可以🐍纹,很主动那种,就是我不怎么感兴趣。过程不做多描述 视频晚点更新,在老师手机里 总结:有颜控的找小雯,准没错,很主动,刚下海不久,小穴还紧
❤10
好奇心重的我,什么都想体验,今天体验了一下娃娃,从来没接触过,做工细节可以的,手感不错,适合那些比较宅,然后又担心被抓的兄弟们,解压一下,也行,目前店好像全区都有 联系方式:@huayuan66 频道:@eyu529
❤8👍4🙈2
最近更新比较快,这些都是新妹妹,群里有积分,可以兑换优惠券 和半价卷 积分兑换,想好再兑换,兑换成功三天内有效,不去就别兑换 媛媛 600p 浦东 冉冉 800p 浦东 云云 800p 普陀
❤11
#虹口 ❤️老师:雪茹 ❤️联系方式:@xueru4 ❤️茶费:800p 身材很好,超级大胸,一米七几身高,肚子是没有一点赘肉,见到小剩的时候有点拘束,让妹妹站着我拍个照,像犯错的小孩,直立立的站着😛,说话大大咧咧的,标准的山东妹子,胸型竹笋型很大,服务话,略过,刚下海,不怎么会,需要兄弟们调教,但是会配合,不冷场。视频在妹妹手机上,还在等着她发我🙊 总结:喜欢大胸嫩妹和骑大马的冲就完事,老师身高174,姿势不好摆,个子小的兄弟得斟酌一下 福利视频👇关注下面频道自动跳转 https://t.me/gs2002109/19
❤12
#普陀 ❤️软软 联系方式:@xiaoruan08 硬件 身材有点微坦,身高173 f奶(很大) 脸型属于甜妹,这么形容,甜妹脸巨无霸身材 服务 老师说是刚下海,我都有点不相信,服务太熟练了,口有弹舌,过瘾,还有乳交,态度非常好,不冷场会聊天 安全 位置在一老小区,很好找,打车可以到门口,隔音还行,就是地板穿拖鞋有摩擦声,建议光脚,比公寓安全,毕竟没监控 过程 到了地方,软软穿着粉色包臀裙躺床上,甜妹脸,巨无霸身材,第一眼看过去,熊才是最耀眼的,忍不住想上去摸两把,淋浴过程中软软要和我一起,我嫌麻烦,自己去了,躺床上,刚开始乳交,再口,口的过程中会用妩媚的眼神看着你,但是老是笑场,软软说小剩长的像他同学,实在忍不住,这我就没办法了,传教士进入,很紧,还会夹,夹的jj痛,桩了四五分钟左右。换后入,臀大,后入好舒服,再加上会夹,战斗了五六分钟左右,换传教士,每次插进去,软软都满脸痛苦的表情,嘴里一直发出,能不能不…
❤11🔥4
Showing the 12 most recent of 14 posts we hold for @shklw2026. 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 — 718,905 of 1,480,975entries 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 2 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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“狗剩的奇妙之旅(上海站)” (@shklw2026), 12,648 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/shklw2026.
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.